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  • 1176801.
    Zhang, Ye
    et al.
    Örebro University, School of Science and Technology.
    Lukyanenko, Dmitry V.
    Department of Mathematics, Faculty of Physics, M. V. Lomonosov Moscow State University, Moscow, Russian Federation.
    Yagola, Anatoly G.
    Department of Mathematics, Faculty of Physics, M. V. Lomonosov Moscow State University, Moscow, Russian Federation.
    An optimal regularization method for convolution equations on the sourcewise represented set2015In: Journal of Inverse and Ill-Posed Problems, ISSN 0928-0219, E-ISSN 1569-3945, Vol. 23, no 5, p. 465-475Article in journal (Refereed)
    Abstract [en]

    In this article, we consider an inverse problem for the integral equation of the convolution typein a multidimensional case. This problem is severely ill-posed. To deal with this problem, using a prioriinformation (sourcewise representation) based on optimal recovery theory we propose a new method. Theregularization and optimization properties of this method are proved. An optimal minimal a priori error ofthe problem is found. Moreover, a so-called optimal regularized approximate solution and its correspondingerror estimation are considered. Eciency and applicability of this method are demonstrated in a numericalexample of the image deblurring problem with noisy data.

  • 1176802.
    Zhang, Ye
    et al.
    KTH, School of Biotechnology (BIO), Industrial Biotechnology. KTH, School of Biotechnology (BIO), Centres, Centre for Bioprocess Technology, CBioPT.
    Stobbe, Per
    Silvander, Christian Orrego
    Chotteau, Veronique
    KTH, School of Biotechnology (BIO), Industrial Biotechnology.
    Very high cell density perfusion of CHO cells anchored in a non-woven matrix-based bioreactor2015In: Journal of Biotechnology, ISSN 0168-1656, E-ISSN 1873-4863, Vol. 213, p. 28-41Article in journal (Refereed)
    Abstract [en]

    Recombinant Chinese Hamster Ovary (CHO) cells producing IgG monoclonal antibody were cultivated in a novel perfusion culture system CellTank, integrating the bioreactor and the cell retention function. In this system, the cells were harbored in a non-woven polyester matrix perfused by the culture medium and immersed in a reservoir. Although adapted to suspension, the CHO cells stayed entrapped in the matrix. The cell-free medium was efficiently circulated from the reservoir into- and through the matrix by a centrifugal pump placed at the bottom of the bioreactor resulting in highly homogenous concentrations of the nutrients and metabolites in the whole system as confirmed by measurements from different sampling locations. A real-time biomass sensor using the dielectric properties of living cells was used to measure the cell density. The performances of the CellTank were studied in three perfusion runs. A very high cell density measured as 200 pF/cm (where 1 pF/cm is equivalent to 1 x 106 viable cells/mL) was achieved at a perfusion rate of 10 reactor volumes per day (RV/day) in the first run. In the second run, the effect of cell growth arrest by hypothermia at temperatures lowered gradually from 37 C to 29 C was studied during 13 days at cell densities above 100 pF/cm. Finally a production run was performed at high cell densities, where a temperature shift to 31 C was applied at cell density 100 pF/cm during a production period of 14 days in minimized feeding conditions. The IgG concentrations were comparable in the matrix and in the harvest line in all the runs, indicating no retention of the product of interest. The cell specific productivity was comparable or higher than in Erlenmeyer flask batch culture. During the production run, the final harvested IgG production was 35 times higher in the CellTank compared to a repeated batch culture in the same vessel volume during the same time period.

  • 1176803.
    Zhang, Ye
    et al.
    KTH, School of Biotechnology (BIO), Industrial Biotechnology.
    Zhan, Caijuan
    KTH, School of Biotechnology (BIO), Industrial Biotechnology.
    Girod, Pierre-Alain
    Martiné, Alexandra
    Chotteau, Veronique
    KTH, School of Biotechnology (BIO), Industrial Biotechnology.
    Optimization of the cell specific perfusion rate in high cell density perfusion processManuscript (preprint) (Other academic)
  • 1176804. Zhang, Yebin
    et al.
    Yan, Guofeng
    Zhou, Bin
    Lee, El-Hang
    He, Sailing
    KTH, School of Electrical Engineering (EES), Electromagnetic Engineering. KTH, School of Electrical Engineering (EES), Centres, Alfvén Laboratory Centre for Space and Fusion Plasma Physics.
    Reflective Optical Fiber Refractometer Based on Long-Period Grating Tailored Active Bragg Grating2015In: IEEE Photonics Technology Letters, ISSN 1041-1135, E-ISSN 1941-0174, Vol. 27, no 11, p. 1173-1176Article in journal (Refereed)
    Abstract [en]

    A reflective optical fiber refractometer based on a long-period grating (LPG) followed by an active fiber Bragg grating (AFBG) is proposed. The AFBG is inscribed in a short section of cobalt-doped optical fiber, which can be heated by pump laser and acts as a sensing signal indicator. The LPG functions as a bridge between the surrounding refractive index (RI) and the AFBG reflection, tailoring the power of pump laser for heating. Experimental results demonstrate that the wavelength response of this fiber grating-based reflective refractometer can be easily adjusted, and a significantly improved sensitivity within the RI range from 1.3403 to 1.4654 has been achieved.

  • 1176805. Zhang, YF
    et al.
    Li, YS
    Sakamoto, Y
    Stockholm University.
    Terasaki, O
    Stockholm University.
    Che, SA
    Synthesis of cubic Pm-3n mesostructured titanium oxophosphate2006In: Chemistry Letters, Vol. 35, p. 400-401Article in journal (Refereed)
  • 1176806. Zhang, YF
    et al.
    Li, YS
    Sakamoto, Y
    Stockholm University.
    Terasaki, O
    Stockholm University.
    Che, SA
    Synthesis of cubic Pm(3)over-barn mesostructured titanium oxophosphate2006In: Chemistry Letters, Vol. 35, p. 400-401Article in journal (Refereed)
  • 1176807. Zhang, YF.
    et al.
    Li, YS.
    Sakamoto, Yasuhiro
    Stockholm University, Faculty of Science, Department of Physical, Inorganic and Structural Chemistry.
    Terasaki, Osamu
    Stockholm University, Faculty of Science, Department of Physical, Inorganic and Structural Chemistry.
    Che, S.
    Structure and thermal stability of mesostructured zirconium oxophosphates2007In: Microporous and mesoporous materials, Vol. 100, p. 295-301Article in journal (Refereed)
  • 1176808. Zhang, Yi Ge
    et al.
    Pagani, Mark
    Henderiks, Jorijntje
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Palaeobiology.
    Ren, Haojia
    A long history of equatorial deep-water upwelling in the Pacific Ocean2017In: Earth and Planetary Science Letters, ISSN 0012-821X, E-ISSN 1385-013X, Vol. 467, p. 1-9Article in journal (Refereed)
    Abstract [en]

    Cold, nutrient-and CO2-rich waters upwelling in the eastern equatorial Pacific (EEP) give rise to the Pacific cold tongue. Quasi-periodic subsidence of the thermocline and attenuation in wind strength expressed by El Niño conditions decrease upwelling rates, increase surface-water temperatures in the EEP, and lead to changes in regional climates both near and far from the equatorial Pacific. EEP surface waters have elevated CO2concentrations during neutral (upwelling) or La Niña (strong upwelling) conditions. In contrast, approximate air–sea CO2equilibrium characterizes El Niño events. One hypothesis proposes that changes in physical oceanography led to the establishment of a deep tropical thermocline and expanded mixed-layer prior to 3 million years ago. These effects are argued to have substantially reduced deep-water upwelling rates in the EEP and promoted a “permanent El Niño-like” climate state. For this study, we test this supposition by reconstructing EEP “excess CO2” and upwelling history for the past 6.5million years using the alkenone-pCO2methodology. Contrary to previous assertions, our results indicate that average temporal conditions in the EEP over the past ∼6.5 million years were characterized by substantial CO2disequilibrium and high nutrient delivery to surface waters — characteristics that imply strong upwelling of deep waters. Upwelling appears most vigorous between ∼6.5 to 4.5 million years ago coinciding with high accumulation rates of biogenic material during the late Miocene – early Pliocene “biogenic bloom”.

  • 1176809. Zhang, Yi
    et al.
    Guan, Nan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Xiao, Yanbin
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Implementation and empirical comparison of partitioning-based multi-core scheduling2011In: Proc. 6th International Symposium on Industrial Embedded Systems, Piscataway, NJ: IEEE , 2011, p. 248-255Conference paper (Refereed)
  • 1176810. Zhang, Yi
    et al.
    Guan, Nan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Towards the implementation and evaluation of semi-partitioned multi-core scheduling2011In: Bringing Theory to Practice: Predictability and Performance in Embedded Systems, Dagstuhl, Germany: Leibniz-Zentrum für Informatik , 2011, p. 42-46Conference paper (Other academic)
  • 1176811.
    Zhang, Yi
    et al.
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Guan, Nan
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Yi, Wang
    Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.
    Understanding the Dynamic Caches on Intel Processors: Methods and Applications2014In: 2014 12th IEEE International Conference on Embedded and Ubiquitous Computing, 2014, p. 58-64Conference paper (Other academic)
    Abstract [en]

    The design and implementation of caches on a given platform has significant impacts to many areas in computer system design. On chip-multiprocessors (CMP), new cache architectures are proposed to meet the rapidly increasing performance requirements. However, the cache architectures are usually not well-documented for commercial processors. This raises difficulties for people to precisely understand the working principle of many components of the processors, not only the cache itself, but also the related components like the whole memory subsystem. This paper aims at disclosing the working principle of the last level cache of Intel Ivy Bridge processors. First, we identify the address translation logic on this cache. Second, we disclose the replacement policy of the cache. This is a dynamic insertion replacement policy, which is very different from the widely used LRU policy and its variants. Although this replacement policy has been proposed in academic literatures, our work is the first one showing it is actually used in commercial processors. To show the significance of our discovery, we design a methodology to generate controllable cache miss sequences under this new cache, and apply it to the design of a benchmark to model the memory concurrency. Evaluations on physical machines are conducted to show the effectiveness of the proposed method.

  • 1176812.
    Zhang, Yi Ming
    et al.
    Stockholm University, Faculty of Social Sciences, School of Business.
    Bjurström, Håkan
    Stockholm University, Faculty of Social Sciences, School of Business.
    One - to - one Marketing i nystartade mjukvaruföretag2004Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [sv]

    Studien riktar sig mot att udersöka hur de teorier som omfattas i begreppet One-to-One Marketing kan appliceras på ett nystartat mjukvaruföretag. Vi tycker att det är viktigt att analysera ett företags konkurrenssituation för att visa på styrkor och svagheter i företagets tillämpade strategi och därigenom se om One-to-One Marketing och dess teorier går att använda. Eftersom studieobjektet är ett mjukvaruföretag och kärnverksamheten är produktutveckling är det betydelsefullt att utreda hur kundanpassning påverkar produkten. Studien visar att företaget för en nära diskussion med sina kunder och därmed lär sig vad kundernas behov är och hur kundernas branscher fungerar. Vi ser dessutom att företaget kan förbättra sin konkurrensposition genom att ytterligare utöka samarbetet med kunden och skapa en lärande relation.

  • 1176813.
    Zhang, Yi Ming
    et al.
    Stockholm University, Faculty of Social Sciences, School of Business.
    Yang, Donghui
    Stockholm University, Faculty of Social Sciences, School of Business.
    To adapt or not to adapt: A study of global marketing’s applicability in China2005Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The globalization of markets has been ongoing as an unbroken trend and tendency with the economic and technological developments. With more and more companies continue to expand their global reach, global marketing has become a topic of interest.

  • 1176814. Zhang, Yi
    et al.
    Qiu, Chengxuan
    Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).
    Lindberg, Olof
    Bronge, Lena
    Aspelin, Peter
    Bäckman, Lars
    Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).
    Fratiglioni, Laura
    Stockholm University, Faculty of Social Sciences, Aging Research Center (ARC), (together with KI).
    Wahlund, Lars-Olof
    Acceleration of hippocampal atrophy in a non-demented elderly population: the SNAC-K study2010In: International psychogeriatrics, ISSN 1041-6102, E-ISSN 1741-203X, Vol. 22, no 1, p. 14-25Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Brain atrophy in Alzheimer's disease (AD) includes not only AD-specific brain atrophy but also the atrophy induced by normal aging. Atrophy of the hippocampus has been one diagnostic marker of AD, but it was also found to emerge in healthy adults, along with increasing age. It was reported that the important age when age-related shrinkage of the hippocampus starts was around the mid-40s. The aim is to study the aging atrophy speed and acceleration of brain atrophy in a cross-sectional database, to identify the age at which acceleration of hippocampal atrophy starts in non-demented elderly persons.

    METHODS: 544 subjects (aged 60-97 years; 318 female and 226 male) were recruited into the MRI study by using a subsample of an epidemiological sample of 3363 healthy non-demented elderly people (over 60 years of age). Hippocampus and ventricle sizes were measured.

    RESULTS: The normalized volumes (by intracranial volume, ICV) of the hippocampus in males were smaller than those in females. The right hippocampus was larger than the left. The expansion of the lateral ventricles (2.80% per year in males, 2.95% in females) and third ventricle (1.58% and 2.28%, respectively) was more marked than the hippocampal shrinkage (0.68% and 0.79%, respectively). The suggested age at which acceleration of hippocampal atrophy starts is 72 years.

    CONCLUSIONS: Males present smaller hippocampus volumes (normalized by ICV) than females; however, females are more vulnerable to hippocampal atrophy in a non-demented elderly population. An acceleration of hippocampal atrophy may emerge and start around 72 years of age in a non-demented elderly population.

  • 1176815.
    Zhang, Yi
    et al.
    BioTheranostics Inc, CA USA .
    Schnabel, Catherine A.
    BioTheranostics Inc, CA USA .
    Schroeder, Brock E.
    BioTheranostics Inc, CA USA .
    Jerevall, Piiha-Lotta
    Massachusetts Gen Hospital, MA USA .
    Jankowitz, Rachel C.
    University of Pittsburgh, PA USA .
    Fornander, Tommy
    Karolinska Institute, Sweden .
    Stål, Olle
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Surgery, Orthopaedics and Cancer Treatment, Department of Oncology.
    Brufsky, Adam M.
    University of Pittsburgh, PA USA .
    Sgroi, Dennis
    Massachusetts Gen Hospital, MA USA .
    Erlander, Mark G.
    BioTheranostics Inc, CA USA .
    Breast Cancer Index Identifies Early-Stage Estrogen Receptor-Positive Breast Cancer Patients at Risk for Early- and Late-Distant Recurrence2013In: Clinical Cancer Research, ISSN 1078-0432, E-ISSN 1557-3265, Vol. 19, no 15, p. 4196-4205Article in journal (Refereed)
    Abstract [en]

    Purpose: Residual risk of relapse remains a substantial concern for patients with hormone receptor-positive breast cancer, with approximately half of all disease recurrences occurring after five years of adjuvant antiestrogen therapy. less thanbrgreater than less thanbrgreater thanExperimental Design: The objective of this study was to examine the prognostic performance of an optimized model of Breast Cancer Index (BCI), an algorithmic gene expression-based signature, for prediction of early (0-5 years) and late (andgt;5 years) risk of distant recurrence in patients with estrogen receptor-positive (ER+), lymph node-negative (LN-) tumors. The BCI model was validated by retrospective analyses of tumor samples from tamoxifen-treated patients from a randomized prospective trial (Stockholm TAM, n = 317) and a multi-institutional cohort (n = 358). less thanbrgreater than less thanbrgreater thanResults: Within the Stockholm TAM cohort, BCI risk groups stratified the majority (similar to 65%) of patients as low risk with less than 3% distant recurrence rate for 0 to 5 years and 5 to 10 years. In the multi-institutional cohort, which had larger tumors, 55% of patients were classified as BCI low risk with less than 5% distant recurrence rate for 0 to 5 years and 5 to 10 years. For both cohorts, continuous BCI was the most significant prognostic factor beyond standard clinicopathologic factors for 0 to 5 years and more than five years. less thanbrgreater than less thanbrgreater thanConclusions: The prognostic sustainability of BCI to assess early- and late-distant recurrence risk at diagnosis has clinical use for decisions of chemotherapy at diagnosis and for decisions for extended adjuvant endocrine therapy beyond five years.

  • 1176816.
    Zhang, Yi
    et al.
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Sun, Xu
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Nan, Nan
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Cao, Ke-Xin
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Ma, Cong
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Yang, Guo-Wang
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Yu, Ming-Wei
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Yang, Lin
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Li, Jin-Ping
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. Uppsala University, Science for Life Laboratory, SciLifeLab. Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China.
    Wang, Xiao-Min
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Zhang, Gan-Lin
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, 23 Back Rd Art Gallery, Beijing 100010, Peoples R China..
    Elemene inhibits the migration and invasion of 4T1 murine breast cancer cells via heparanase2017In: Molecular Medicine Reports, ISSN 1791-2997, E-ISSN 1791-3004, Vol. 16, no 1, p. 794-800Article in journal (Refereed)
    Abstract [en]

    Elemene (ELE), a natural plant drug extracted from Curcumae Rhizoma, has been widely used for cancer treatment in China for more than 20 years. Although it is reported to be a broad-spectrum anticancer drug, the mechanism underlying the action of ELE in the treatment of breast cancer remains to be fully elucidated. Heparanase, a mammalian endo-D-glucuronidase, is involved in degradation of the extracellular matrix (ECM), and thus promotes tumor progression and metastasis. The downregulation of heparanase can effectively reduce tumor malignant behaviors. In the present study, the inhibitory effects of ELE were evaluated in breast cancer cells using a Cell Counting kit 8 assay. The migratory and invasive capabilities of cancer cells were investigated using a wound healing assay, real-time cell analysis and a Transwell assay. In addition, western blot analysis was used to assess alterations in the expression levels of key proteins. The present results confirmed the antiproliferative and antimetastatic effects of ELE, using low-molecular weight heparin (LMWH) as a positive control. In addition, ELE was demonstrated to downregulate the expression of heparanase, and decrease the phosphorylation of extracellular signal-regulated kinase and AKT. These findings suggested that ELE may be a promising agent targeting heparanase in the treatment of breast cancer.

  • 1176817. Zhang, Yi
    et al.
    Xiao, Ming
    KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
    Han, Shuai
    Skoglund, Mikael
    KTH, School of Electrical Engineering and Computer Science (EECS), Information Science and Engineering.
    Meng, Weixiao
    On Precoding and Energy Efficiency of Full-Duplex Millimeter-Wave Relays2019In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 18, no 3, p. 1943-1956Article in journal (Refereed)
    Abstract [en]

    With large available bandwidth, millimeter wave (mm-wave) communications have attracted considerable research interests because of their potential to achieve multi-giga bps rates. However, one of the main challenges for mm-wave is high pathloss. To address this problem, full-duplex (FD) relaying can be used to increase the effective transmission distance and the spectral efficiency. Thus, studying the application of FD relaying in mm-wave communications will be of value. However, one of the main challenges in FD mm-wave relaying is the residual self-interference (SI), which includes line-of-sight (LOS) and non-LOS parts. To eliminate the SI and improve the spectral efficiency, we propose an orthogonal matching pursuit-based SI-cancellation precoding algorithm. Then, we propose an energy consumption model and analyze the energy efficiency performance. We formulate the joint spectral efficiency and energy efficiency optimization problem, which can be transformed into a convex problem. The numerical results show that the FD precoding scheme can effectively eliminate the residual SI and achieve approximately twice the spectral efficiency of the conventional half-duplex system. We also show that in low-spectral-efficiency regions, the optimal energy efficiency can be achieved, but the achievable energy efficiency will decrease in high-spectral-efficiency regions.

  • 1176818.
    Zhang, Yi
    et al.
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Zhang, Gan-Lin
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Sun, Xu
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Cao, Ke-Xin
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Shang, Ya-Wen
    Capital Med Univ, Sch Tradit Chinese Med, Beijing 100069, Peoples R China..
    Gong, Mu-Xin
    Capital Med Univ, Sch Tradit Chinese Med, Beijing 100069, Peoples R China..
    Ma, Cong
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Nan, Nan
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Li, Jin-Ping
    Uppsala University, Disciplinary Domain of Medicine and Pharmacy, Faculty of Medicine, Department of Medical Biochemistry and Microbiology. Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Yu, Ming-Wei
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Yang, Guo-Wang
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Wang, Xiao-Min
    Capital Med Univ, Beijing Hosp Tradit Chinese Med, Dept Oncol, Beijing 100010, Peoples R China..
    Gubenyiliu II Inhibits Breast Tumor Growth and Metastasis Associated with Decreased Heparanase Expression and Phosphorylation of ERK and AKT Pathways2017In: Molecules, ISSN 1420-3049, E-ISSN 1420-3049, Vol. 22, no 5, article id 787Article in journal (Refereed)
    Abstract [en]

    Gubenyiliu II (GYII), a Traditional Chinese Medicine (TCM) formula used in our hospital, has shown beneficial effects in cancer patients. In this study, we investigated the molecular mechanisms underlying the beneficial effects of GYII on murine breast cancer models. GYII showed significant inhibitory effects on tumor growth and metastasis in the murine breast cancer model. Additionally, GYII suppressed the proliferation of 4T1 and MCF-7 cells in a dose-dependent manner. A better inhibitory effect on 4T1 cell proliferation and migration was found in the decomposed recipes (DR) of GYII. Moreover, heparanase expression and the degree of angiogenesis were reduced in tumor tissues. Western blot analysis showed decreased expression of heparanase and growth factors in the cells treated with GYII and its decomposed recipes (DR2 and DR3), and thereby a reduction in the phosphorylation of extracellular signal-regulated kinase (ERK) and serine-threonine kinase (AKT). These results suggest that GYII exerts anti-tumor growth and anti-metastatic effects in the murine breast cancer model. The anti-tumor activity of GYII and its decomposed recipes is, at least partly, associated with decreased heparanase and growth factor expression, which subsequently suppressed the activation of the ERK and AKT pathways.

  • 1176819.
    Zhang, Yichen
    et al.
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Chikwaya, Tavonga
    Linköping University, Department of Management and Engineering, Business Administration. Linköping University, Faculty of Arts and Sciences.
    Commerce & Friendship: A qualitative study of new value streams created by beauty vloggers through relationship building on social media2018Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Background: Social media platforms are evolving to be effective platforms in marketing but due to customers’ scepticism on how they are being approached there is need to be cautious on how best to build relationships towards value creation.

    Purpose: To explore within the field of social media influencer marketing to understand how new value streams could be created by beauty vloggers through building relationship with followers (audiences), or the potential customers on virtual market.

    Methodology: A qualitative research approach used where research tools as interviews, focus groups and observations have been used to gain an understanding on underlying reasons, opinions, and motivations of vloggers and followers.

    Findings: The empirical findings indicated that to have mutual connections and understanding between vloggers and followers there is need to build relationships which emanates from engagement, trust and commitment, interaction and communication.

  • 1176820.
    Zhang, Yichi
    KTH, School of Information and Communication Technology (ICT).
    Residential Network Traffic and User Behavior Analysis2010Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Internet usage is changing and the demands on the broadband networks are ever increasing. So it is still crucial to understand today's network traffic and the usage patterns of the end users, which will lead to more efficient network design, energy and costs savings, and improvement of the service offered to end users. This thesis aims at finding hidden patterns of traffic and user behavior in a residential fiber based access network. To address the problem, a systematic framework of traffic measurement and analysis is developed. It involves PacketLogic traffic data collecting, MySQL database storing, and traffic and user behavior analysis by using Python scripts.

     

    Our approach provides new insights on residential network traffic properties and Internet user habits of households, covering topics of aggregated traffic pattern, household traffic modeling, traffic and user penetration for applications, grouping analysis by cluster and subscriber, and concurrent application analysis. The analysis solutions we provide are based on open source tools without proprietary, giving the most flexibility for codes modification and distribution.

  • 1176821. Zhang, Yige
    et al.
    Pagani, Mark
    Henderiks, Jorijntje
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Palaeobiology.
    Ren, Haojia
    A long history of equatorial upwelling in the Pacific Ocean2014Conference paper (Other academic)
  • 1176822. Zhang, Yige
    et al.
    Pagani, Mark
    Henderiks, Jorijntje
    Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Palaeobiology.
    Ren, Haojia
    The late Miocene “paradox” of CO2 climate sensitivity2013Conference paper (Other academic)
  • 1176823. Zhang, YiJun
    Values-based Service Brands lighten customers eyes - IKEA China2006Independent thesis Advanced level (degree of Master (One Year))Student thesis
  • 1176824.
    Zhang, Yiming
    Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
    An Adaptive Sequential Monte Carlo Approach to Neural Network Training2014Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Sequential Monte Carlo methods (particle filter) have been successfully applied to the online training of neural networks. However the generic particle filter requires that model noise to be known prior to training. Furthermore, the random walk assumption with which the network weights are modeled by may be problematic as a result of the insufficient knowledge of the model noise. In this thesis, the evolution of the network weights are modeled using the Polynomial Prediction Model (PPM) which has been shown to have more predictive power than the random walk. The PPM can generate a whole class of models which can then be used in a modified multi-model version of the particle filter based on the Interacting Multiple Model (IMM) to train the neural network. The resulting algorithm generates an estimate of the noise terms which is closer to the true noise in the form of a weighted linear combination of the model noise given in the different models. This means that the algorithm can adapt to unknown model noise. Experiments show that the proposed algorithm offers better performance in training neural networks in the context where we are unable to determine the error terms.

  • 1176825. Zhang, Yiming
    et al.
    Liu, Guodong
    Engqvist, Martin K. M.
    Krivoruchko, Anastasia
    Hallström, Björn M.
    KTH, School of Biotechnology (BIO), Proteomics and Nanobiotechnology. KTH, Centres, Science for Life Laboratory, SciLifeLab.
    Chen, Yun
    Siewers, Verena
    Nielsen, Jens
    Adaptive mutations in sugar metabolism restore growth on glucose in a pyruvate decarboxylase negative yeast strain2015In: Microbial Cell Factories, ISSN 1475-2859, E-ISSN 1475-2859, Vol. 14, article id 116Article in journal (Refereed)
    Abstract [en]

    Background: A Saccharomyces cerevisiae strain carrying deletions in all three pyruvate decarboxylase (PDC) genes (also called Pdc negative yeast) represents a non-ethanol producing platform strain for the production of pyruvate derived biochemicals. However, it cannot grow on glucose as the sole carbon source, and requires supplementation of C2 compounds to the medium in order to meet the requirement for cytosolic acetyl-CoA for biosynthesis of fatty acids and ergosterol. Results: In this study, a Pdc negative strain was adaptively evolved for improved growth in glucose medium via serial transfer, resulting in three independently evolved strains, which were able to grow in minimal medium containing glucose as the sole carbon source at the maximum specific rates of 0.138, 0.148, 0.141 h(-1), respectively. Several genetic changes were identified in the evolved Pdc negative strains by genomic DNA sequencing. Among these genetic changes, 4 genes were found to carry point mutations in at least two of the evolved strains: MTH1 encoding a negative regulator of the glucose-sensing signal transduction pathway, HXT2 encoding a hexose transporter, CIT1 encoding a mitochondrial citrate synthase, and RPD3 encoding a histone deacetylase. Reverse engineering of the non-evolved Pdc negative strain through introduction of the MTH1(81D) allele restored its growth on glucose at a maximum specific rate of 0.053 h(-1) in minimal medium with 2% glucose, and the CIT1 deletion in the reverse engineered strain further increased the maximum specific growth rate to 0.069 h(-1). Conclusions: In this study, possible evolving mechanisms of Pdc negative strains on glucose were investigated by genome sequencing and reverse engineering. The non-synonymous mutations in MTH1 alleviated the glucose repression by repressing expression of several hexose transporter genes. The non-synonymous mutations in HXT2 and CIT1 may function in the presence of mutated MTH1 alleles and could be related to an altered central carbon metabolism in order to ensure production of cytosolic acetyl-CoA in the Pdc negative strain.

  • 1176826.
    Zhang, Yin
    et al.
    Karolinska Institute, Sweden; Shandong University, Peoples R China; Shandong University, Peoples R China.
    Yang, Yunlong
    Karolinska Institute, Sweden.
    Hosaka, Kayoko
    Karolinska Institute, Sweden.
    Huang, Guichun
    Karolinska Institute, Sweden.
    Zang, Jingwu
    BioSciKin Biopharma, Peoples R China.
    Chen, Fang
    Zhejiang Chinese Medical University, Peoples R China.
    Zhang, Yun
    Karolinska Institute, Sweden; Shandong University, Peoples R China; Shandong University, Peoples R China.
    Samani, Nilesh J.
    University of Leicester, England; Glenfield Gen Hospital, England.
    Cao, Yihai
    Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Karolinska Institute, Sweden; University of Leicester, England; Glenfield Gen Hospital, England; Second Hospital Wuxi, Peoples R China.
    Endocrine vasculatures are preferable targets of an antitumor ineffective low dose of anti-VEGF therapy2016In: Proceedings of the National Academy of Sciences of the United States of America, ISSN 0027-8424, E-ISSN 1091-6490, Vol. 113, no 15, p. 4158-4163Article in journal (Refereed)
    Abstract [en]

    Anti-VEGF-based antiangiogenic drugs are designed to block tumor angiogenesis for treatment of cancer patients. However, anti-VEGF drugs produce off-tumor target effects on multiple tissues and organs and cause broad adverse effects. Here, we show that vasculatures in endocrine organs were more sensitive to anti-VEGF treatment than tumor vasculatures. In thyroid, adrenal glands, and pancreatic islets, systemic treatment with low doses of an anti-VEGF neutralizing antibody caused marked vascular regression, whereas tumor vessels remained unaffected. Additionally, a low dose of VEGF blockade significantly inhibited the formation of thyroid vascular fenestrae, leaving tumor vascular structures unchanged. Along with vascular structural changes, the low dose of VEGF blockade inhibited vascular perfusion and permeability in thyroid, but not in tumors. Prolonged treatment with the low-dose VEGF blockade caused hypertension and significantly decreased circulating levels of thyroid hormone free-T3 and -T4, leading to functional impairment of thyroid. These findings show that the fenestrated microvasculatures in endocrine organs are more sensitive than tumor vasculatures in response to systemic anti-VEGF drugs. Thus, our data support the notion that clinically nonbeneficial treatments with anti-VEGF drugs could potentially cause adverse effects.

  • 1176827.
    Zhang, Ying
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering.
    China's building energy consumption and how to get energy efficiency.2012Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
  • 1176828.
    Zhang, Ying
    KTH, Superseded Departments, Computer and Systems Sciences, DSV.
    Multi-temporal database management with a visual query interface1997Doctoral thesis, monograph (Other scientific)
  • 1176829.
    Zhang, Ying
    et al.
    Ericsson AB.
    Arvidsson, Åke
    Ericsson AB.
    Understanding the characteristics of cellular data traffic2012In: CellNet 2012 / [ed] Li Erran Li och Morley Mao Zhuoqing, Association for Computing Machinery (ACM), 2012Conference paper (Refereed)
    Abstract [en]

    Because of rapidly growing subscriber populations, advances in cellular communication technology, increasingly capable user terminals, and the expanding range of mobile applications, cellular networks have experienced a significant increase in data traffic, the dominant part of which is carried by the http protocol. Understanding the characteristics of this traffic is important for network design, traffic modeling, resource planning and network control. In this study we present a comprehensive characterization study of mobile http-based traffic using packet level traces collected in a large cellular network. We analyze the traffic using metrics at packet level, flow level and session level. For each metric, we conduct a comparison between traffic from different applications, as well as comparison to traffic in a wired network. Finally, we discuss the implications of our findings for better resource utilization in cellular infrastructures.

  • 1176830.
    Zhang, Ying
    et al.
    USA.
    Arvidsson, Åke
    Ericsson AB.
    Siekkinen, Matti
    Finland.
    Urvoy-Keller, Guillaume
    Frankrike.
    Understanding HTTP flow rates in cellular networks2014In: Networking 2014 / [ed] Bjarne Helvik, Deep Medhi och Bin Liu, IFIP , 2014Conference paper (Refereed)
    Abstract [en]

    Data traffic in cellular networks increased tremendously over the past few years and this growth is predicted to continue over the next few years. Due to differences in access technology and user behavior, the characteristics of cellular traffic can differ from existing results for wireline traffic. In this study we focus on understanding the flow rates and on the relationship between the rates and other flow properties by analyzing packet level traces collected in a large cellular network. To understand the limiting factors of the flow rates, we further analyze the underlying causes behind the observed rates, e.g.,network congestion, access link or end host configuration. Our study extends other related work by conducting the analysis from a unique dimension, the comparison with traffic in wired networks, to reveal the unique properties of cellular traffic. We find that they differ in variability and in the dominant rate limiting factors.

  • 1176831. Zhang, Ying
    et al.
    Chakrabarty, Krishnendu
    Peng, Zebo
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
    Rezine, Ahmed
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Li, Huawei
    Eles, Petru
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, Faculty of Science & Engineering.
    Jiang, Jianhui
    Software-based Self-Testing using Bounded Model Checking for Out-of-Order Superscalar Processors2019In: IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, ISSN 0278-0070, E-ISSN 1937-4151Article in journal (Refereed)
    Abstract [en]

    Generating functional tests for processors has been a challenging problem for decades in the VLSI testing field. This paper presents a method that generates software-based self-tests (SBST) by leveraging bounded model checking techniques (BMC) and targeting, for the first time, out-of-order (OOE) superscalar processors. To combat the state-space explosion associated with BMC, the proposed method starts by combining module-level abstraction-refinement with slicing to reduce the size of the model under verification. Next, an off-the-shelf BMC solver is used on the obtained extended finite-state machines (EFSM) to generate the leading sequences that are necessary to excite internal processor functions. Finally, constrained automatic test-pattern generation is used to cover all structural faults within every function excited by the obtained leading sequences. Experimental results show that the proposed method leads to extremely high fault coverage on the critical components corresponding to OOE operations in functional mode. The method therefore helps in tackling the over-testing problem that is inherent to the full-scan test approach.

  • 1176832.
    Zhang, Ying
    et al.
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Li, Huawei
    Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
    Li, Xiaowei
    Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.
    Automatic Test Program Generation Using Executing Trace Based Constraint Extraction for Embedded Processors2013In: IEEE Transactions on Very Large Scale Integration (vlsi) Systems, ISSN 1063-8210, E-ISSN 1557-9999, Vol. 21, no 7, p. 1220-1233Article in journal (Refereed)
    Abstract [en]

    Software-based self-testing (SBST) has been a promising method for processor testing, but the complexity of the state-of-art processors still poses great challenges for SBST. This paper utilizes the executing trace collected during executing training programs on the processor under test to simplify mappings and functional constraint extraction for ports of inner components, which facilitate structural test generation with constraints at gate level, and automatic test instruction generation (ATIG) even for hidden control logic (HCL). In addition, for sequential HCL, we present a test routine generation technique on the basis of an extended finite state machine, so that structural patterns for combinational subcircuits in the sequential HCL can be mapped into the test routines to form a test program. Experimental results demonstrate that the proposed ATIG method can achieve good structural fault coverage with compact test programs on modern processors.

  • 1176833.
    Zhang, Ying
    et al.
    School of Software Engineering, Tongji University, China.
    Peng, Zebo
    Linköping University, Department of Computer and Information Science, ESLAB - Embedded Systems Laboratory. Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Jiang, Jianhui
    School of Software Engineering, Tongji University, China.
    Li, Huawei
    State Key Laboratory of Computer Architecture, Institute of Computing Technology, Chinese Academy of Sciences, China.
    Fujita, Masahiro
    VLSI Design and Education Center, University of Tokyo, Japan .
    Temperature-Aware Software-Based Self-Testing for Delay Faults2015In: Proc. Design, Automation and Test in Europe Conference (DATE’15), Grenoble, France, Mar. 9-13, 2015., 2015Conference paper (Refereed)
    Abstract [en]

    Delay defects under high temperature have been one of the most critical factors to affect the reliability of computer systems, and the current test methods don’t address this problem properly. In this paper, a temperature-aware software-based selftesting (SBST) technique is proposed to self-heat the processors within a high temperature range and effectively test delay faults under high temperature. First, it automatically generates highquality test programs through automatic test instruction generation (ATIG), and avoids over-testing caused by nonfunctional patterns. Second, it exploits two effective powerintensive program transformations to self-heat up the processors internally. Third, it applies a greedy algorithm to search the optimized schedule of the test templates in order to generate the test program while making sure that the temperature of the processor under test is within the specified range. Experimental results show that the generated program is successful to guarantee delay test within the given temperature range, and achieves high test performance with functional patterns.

  • 1176834.
    Zhang, Ying
    et al.
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Rezine, Ahmed
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Eles, Petru
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Peng, Zebo
    Linköping University, Department of Computer and Information Science, Software and Systems. Linköping University, The Institute of Technology.
    Automatic Test Program Generation for Out-of-Order Superscalar Processors2012In: 21st IEEE Asian Test Symposium (ATS12), Niigata, Japan, November 19-22, 2012., IEEE, 2012Conference paper (Refereed)
    Abstract [en]

    This paper presents a high-level automatic test instruction generation (HATIG) technical that allows, for the first time, to test the scheduling unit of an out-of-order super scalar processor. This technique leverages on existing bounded model checking tools in order to generate software-based self-testing programs from a global EFSM model of the processor under test. The experimental results have demonstrated the efficiency of the proposed technique.

  • 1176835.
    Zhang, Ying
    et al.
    Umeå University, Faculty of Social Sciences, Umeå School of Business.
    Wu, Hailun
    Umeå University, Faculty of Social Sciences, Umeå School of Business.
    A comparison of the prediction performances by the linear models and the ARIMA model: Take AUD/JPY as an example2007Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    With the development of the financial markets, the foreign exchange market has become more and more important for investors. The daily volume of business dealt with on the foreign exchange markets in 1998 was estimated to be over $2.5 trillion dollars (the daily volume on New York Stock Exchanges is about $20 billion). Today (2006) it may be about $5 trillion dollars. More and more people notice the foreign exchange market, and more and more sophisticated investors research such markets. The purpose of this thesis is to compare different methods to forecast the exchange rate of the money pair AUD/JPY. Firstly we studied the relationship between the AUD/JPY exchange rate and some economic fundamentals by using a regression model. Secondly, we tested whether the AUD/JPY exchange rate had any relationship with its historical records by using an ARIMA model. Finally, we compared the two model forecasting performance. A secondary purpose is to test whether the Market Efficiency Hypothesis works on the money pair AUD/JPY. In the study, data from January 1986 to June 2006 were chosen. To test which method produces better forecasts, we chose data from January 1986 to December 2002 to build up the prediction functions. Then we used the data from January 2003 to 2006 June to evaluate which predicting method was closer to the reality. In the comparison of the forecasting performances, two approaches dealing with the unknown future fundamentals were used. Firstly we assumed that we could do perfect predictions of these regressors, that was, our predictions of these regressors were the same as the actual future outcomes. So we put the real data for the fundamentals from January 2003 to June 2006 into the regression function. Secondly we assumed that we were in real life situation, and we had to predict the regressors first in order to get the predictions of the exchange rate. The results of the comparison were that the AUD/JPY exchange rate could to some extent be predictable, and that the predictions by the ARIMA model were more accurate.

  • 1176836.
    Zhang, Ying
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering.
    You, Song
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Building, Energy and Environmental Engineering.
    energy security in China- The impact of Renewables2012Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
  • 1176837. Zhang, Yingchao
    et al.
    Fabel, Oliver
    Thomann, Christian
    KTH, School of Industrial Engineering and Management (ITM), Industrial Economics and Management (Dept.), Entrepreneurship and innovation.
    Pay inequity effects on back-office employees' job performances: the case of a large insurance firm2015In: Central European Journal of Operations Research, ISSN 1435-246X, E-ISSN 1613-9178, Vol. 23, no 2, p. 421-439Article in journal (Refereed)
    Abstract [en]

    Using personnel data on back-office employees of an insurance company, we investigate the effect of pay inequity-as measurable and, hence, perceivable by an individual-on the particular individual's job performance. We calculate three measures of pay inequity, "inequality," "envy," and "altruism," for total pay as well as, separately, for three pay components, salary, commissions, and year-end bonuses. Job performance is measured by the value of commissions for new contracts that accrue to the sales agents who are serviced by the back-office employee. Quantile panel regressions show that inequity effects on performance distinctly differ over the performance distribution and across the different pay components. Further, results depend on the time structure of pay and, possibly also, on pay secrecy rules.

  • 1176838.
    Zhang, Yingfeng
    et al.
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Shaanxi, China.
    Liu, Sichao
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Shaanxi, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Li, Rui
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Shaanxi, China.
    Smart box-enabled product–service system for cloud logistics2016In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 54, no 22, p. 6693-6706Article in journal (Refereed)
    Abstract [en]

    Modern logistics takes significant progress and rapid developments with the prosperity of E-commerce, particularly in China. Typical challenges that logistics industry is facing now are composed by a lack of sharing, standard, cost-effective and environmental package and efficient optimisation method for logistics tasks distribution. As a result, it is difficult to implement green, sustainable logistics services. Three important technologies, Physical Internet (PI), product–service system (PSS) and cloud computing (CC), are adopted and developed to address the above issues. PI is extended to design a world-standard green recyclable smart box that is used to encapsulate goods. Smart box-enabled PSS is constructed to provide an innovative sustainable green logistics service, and high-quality packaging, as well as reduce logistics cost and environmental pollution. A real-time information-driven logistics tasks optimisation method is constructed by designing a cloud logistics platform based on CC. On this platform, a hierarchical tree-structure network for customer orders (COs) is built up to achieve the order-box matching of function. Then, a distance clustering analysis algorithm is presented to group and form the optimal clustering results for all COs, and a real-time information-driven optimisation method for logistics orders is proposed to minimise the unused volume of containers. Finally, a case study is simulated to demonstrate the efficiency and feasibility of proposed cloud logistics optimisation method. © 2016 Informa UK Limited, trading as Taylor & Francis Group.

  • 1176839. Zhang, Yingfeng
    et al.
    Liu, Sichao
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Shaanxi, China.
    Liu, Yang
    Li, Rui
    Smart box-enabled product–service system for cloud logistics2016In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 54, p. 6693-6706Article in journal (Refereed)
    Abstract [en]

    Modern logistics takes significant progress and rapid developments with the prosperity of E-commerce, particularly in China. Typical challenges that logistics industry is facing now are composed by a lack of sharing, standard, cost-effective and environmental package and efficient optimisation method for logistics tasks distribution. As a result, it is difficult to implement green, sustainable logistics services. Three important technologies, Physical Internet (PI), product–service system (PSS) and cloud computing (CC), are adopted and developed to address the above issues. PI is extended to design a world-standard green recyclable smart box that is used to encapsulate goods. Smart box-enabled PSS is constructed to provide an innovative sustainable green logistics service, and high-quality packaging, as well as reduce logistics cost and environmental pollution. A real-time information-driven logistics tasks optimisation method is constructed by designing a cloud logistics platform based on CC. On this platform, a hierarchical tree-structure network for customer orders (COs) is built up to achieve the order-box matching of function. Then, a distance clustering analysis algorithm is presented to group and form the optimal clustering results for all COs, and a real-time information-driven optimisation method for logistics orders is proposed to minimise the unused volume of containers. Finally, a case study is simulated to demonstrate the efficiency and feasibility of proposed cloud logistics optimisation method.

  • 1176840.
    Zhang, Yingfeng
    et al.
    Northwestern Polytech Univ, Peoples R China.
    Liu, Sichao
    Northwestern Polytech Univ, Peoples R China; KTH Royal Inst Technol, Sweden.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    Yang, Haidong
    Guangdong Univ Technol, Peoples R China.
    Li, Miao
    Northwestern Polytech Univ, Peoples R China.
    Huisingh, Donald
    Univ Tennessee, TN USA.
    Wang, Lihui
    KTH Royal Inst Technol, Sweden.
    The Internet of Things enabled real-time scheduling for remanufacturing of automobile engines2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 185, p. 562-575Article in journal (Refereed)
    Abstract [en]

    Typical challenges that managers of remanufacturing face are composed of the lack of timely, accurate, and consistent information of remanufacturing resources. Therefore, it is difficult to implement real-time production scheduling for the shop floor. To address this problem, the authors applied the concept of the Internet of Things to the remanufacturing of automobile engines to form an Internet of Manufacturing Things environment. Under the Internet of Manufacturing Things, an identification technology for disassembled engine parts was designed, and the real-time status of the remanufacturable resources can be monitored. Based on the captured remanufacturing information, a real-time production scheduling method was developed, and a mathematical model was developed to achieve cost reduction, dynamic management of remanufacturable resources, and energy consumption decrease. To obtain an optimal solution, a Pareto-based optimization method was used. Finally, a case study was performed to analyze the effectivity of the proposed method. The results showed that the remanufacturing cost and energy consumption were reduced by 34% and 34% respectively, and the worker load rate was more balanced. These improvements can contribute to more sustainable development and greener production within the remanufacturing industry, especially for remanufacturing of automobile engines. (C) 2018 Elsevier Ltd. All rights reserved.

  • 1176841. Zhang, Yingfeng
    et al.
    Liu, Sichao
    Department of Industry Engineering, Northwestern Polytechnical University, Xi'an, China.
    Si, Shubin
    Yang, Haidong
    Production System Performance Prediction Model Based on Manufacturing Big Data2015In: ICNSC 2015 - 2015 IEEE 12th International Conference on Networking, Sensing and Control, IEEE, 2015, p. 277-280Conference paper (Refereed)
    Abstract [en]

    Existing production systems are short of real-time performance status of production process active perception, resulting in the production abnormal conditions processed lag, leading to the frequency problems of deviations in production tasks execution and planning. To address this problem, in this research, an advanced identification technology is extended to the manufacturing field to acquire the real-time performance data. Based on the sensed real-time manufacturing data, this paper presents a prediction method of production system performance by applying the Dynamic Bayesian Networks (DBN) theory and methods. It aims to achieve the prediction of the performance status of production system and potential anomalies, and to provide the important and abundant prediction information for real-time production control.

  • 1176842. Zhang, Yingfeng
    et al.
    Liu, Sichao
    KTH, School of Industrial Engineering and Management (ITM), Production Engineering, Production Systems.
    Sun, Shudong
    Clustering and Genetic Algorithm Based Hybrid Flowshop Scheduling with Multiple Operations2014In: Mathematical problems in engineering (Print), ISSN 1024-123X, E-ISSN 1563-5147Article in journal (Refereed)
    Abstract [en]

    This research is motivated by a flowshop scheduling problem of our collaborative manufacturing company for aeronautic products. The heat-treatment stage (HTS) and precision forging stage (PFS) of the case are selected as a two-stage hybrid flowshop system. In HTS, there are four parallel machines and each machine can process a batch of jobs simultaneously. In PFS, there are two machines. Each machine can install any module of the four modules for processing the workpeices with different sizes. The problem is characterized by many constraints, such as batching operation, blocking environment, and setup time and working time limitations of modules, and so forth. In order to deal with the above special characteristics, the clustering and genetic algorithm is used to calculate the good solution for the two-stage hybrid flowshop problem. The clustering is used to group the jobs according to the processing ranges of the different modules of PFS. The genetic algorithm is used to schedule the optimal sequence of the grouped jobs for the HTS and PFS. Finally, a case study is used to demonstrate the efficiency and effectiveness of the designed genetic algorithm.

  • 1176843. Zhang, Yingfeng
    et al.
    Liu, Sichao
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, Shaanxi, China.
    Zhu, Zhenfei
    Si, Shubin
    Agent-based intelligent medical diagnosis system for patients2015In: Technology and Health Care, ISSN 0928-7329, E-ISSN 1878-7401, Vol. 23, p. S397-S410Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: According to the analysis of the challenges faced by the current public health circumstances such as the sharp increase in elderly patients, limited medical personnel, resources and technology, the agent-based intelligent medical diagnosis system for patients (AIMDS) is proposed in this research. OBJECTIVE: Based on advanced sensing technology and professional medical knowledge, the AIMDS can output the appropriate medical prescriptions and food prohibition when the physical signs and symptoms of the patient are inputted. METHODS: Three core modules are designed include sensing module, intuition-based fuzzy set theory/medical diagnosis module, and medical knowledge module. RESULTS: The result shows that the optimized prescription can reach the desired level, with great curative effect for patient disease, through a case study simulation. CONCLUSION: The presented AIMDS can integrate sensor technique and intelligent medical diagnosis methods to make an accurate diagnosis, resulting in three-type of optimized descriptions for patient selection.

  • 1176844.
    Zhang, Yingfeng
    et al.
    Northwestern Polytech Univ, Peoples R China; Northwestern Polytech Univ, Peoples R China.
    Ma, Shuaiyin
    Northwestern Polytech Univ, Peoples R China.
    Yang, Haidong
    Guangdong Univ Technol, Peoples R China.
    Lv, Jingxiang
    Northwestern Polytech Univ, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Univ Vaasa, Finland.
    A big data driven analytical framework for energy-intensive manufacturing industries2018In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 197, p. 57-72Article in journal (Refereed)
    Abstract [en]

    Energy-intensive industries account for almost 51% of energy consumption in China. A continuous improvement in energy efficiency is important for energy-intensive industries. Cleaner production has proven itself as an effective way to improve energy efficiency and reduce energy consumption. However, there is a lack of manufacturing data due to the difficult implementation of sensors in harsh production environment, such as high temperature, high pressure, high acid, high alkali, and smoky environment which hinders the implementation of the cleaner production strategy. Thanks to the rapid development of the Internet of Things, many data can be sensed and collected in the manufacturing processes. In this paper, a big data driven analytical framework is proposed to reduce the energy consumption and emission for energy-intensive manufacturing industries. Then, two key technologies of the proposed framework, namely energy big data acquisition and energy big data mining, are utilized to implement energy big data analytics. Finally, an application scenario of ball mills in a pulp workshop of a partner company is presented to demonstrate the proposed framework. The results show that the energy consumption and energy costs are reduced by 3% and 4% respectively. These improvements can promote the implementation of cleaner production strategy and contribute to the sustainable development of energy intensive manufacturing industries. (C) 2018 Elsevier Ltd. All rights reserved.

  • 1176845.
    Zhang, Yingfeng
    et al.
    Northwestern Polytech University, Peoples R China.
    Ren, Shan
    Northwestern Polytech University, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering. Linköping University, Faculty of Science & Engineering. University of Vaasa, Finland.
    Sakao, Tomohiko
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering.
    Huisingh, Donald
    University of Tennessee, TN USA.
    A framework for Big Data driven product lifecycle management2017In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 159, p. 229-240Article in journal (Refereed)
    Abstract [en]

    Optimization of the process of product lifecycle management is an increasingly important objective for manufacturing enterprises to improve their sustainable competitive advantage. Originally, this approach was developed to integrate the business processes of an organization and more effectively manage and utilize the data generated during lifecycle studies. With emerging technologies, product embedded information devices such as radio frequency identification tags and smart sensors are widely used to improve the efficiency of enterprises routine management on an operational level. Manufacturing enterprises need a more advanced analysis approach to develop a solution on a strategic level from using such lifecycle Big Data. However, the application of Big Data in lifecycle faces several challenges, such as the lack of reliable data and valuable knowledge that can be employed to support the optimized decision-making of product lifecycle management. In this paper, a framework for Big Data driven product lifecycle management was proposed to address these challenges. Within the proposed framework, the availability and accessibility of data and knowledge related to lifecycle can be achieved. A case study was presented to demonstrate the proof-of-concept of the proposed framework. The results showed that the proposed framework was feasible to be adopted in industry, and can provide an overall solution for optimizing the decision-making processes in different phases of the whole lifecycle. The key findings and insights from the case study were summarized as managerial implications, which can guide manufacturers to ensure improvements in energy saving and fault diagnosis related decisions in the whole lifecycle. (C) 2017 Elsevier Ltd. All rights reserved.

  • 1176846.
    Zhang, Yingfeng
    et al.
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, PR China.
    Ren, Shan
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, PR China; Department of Mechanical Engineering, Honghe University, Yunnan, PR China.
    Liu, Yang
    Linköping University, Department of Management and Engineering, Environmental Technology and Management. Linköping University, Faculty of Science & Engineering. Department of Production, University of Vaasa, Vaasa, Finland.
    Si, Shubin
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, PR China.
    A big data analytics architecture for cleaner manufacturing and maintenance processes of complex products2017In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 142, no 2, p. 626-641Article in journal (Refereed)
    Abstract [en]

    Cleaner production (CP) is considered as one of the most important means for manufacturing enterprises to achieve sustainable production and improve their sustainable competitive advantage. However, implementation of the CP strategy was facing barriers, such as the lack of complete data and valuable knowledge that can be employed to provide better support on decision-making of coordination and optimization on the product lifecycle management (PLM) and the whole CP process. Fortunately, with the wide use of smart sensing devices in PLM, a large amount of real-time and multi-source lifecycle big data can now be collected. To make better PLM and CP decisions based on these data, in this paper, an overall architecture of big data-based analytics for product lifecycle (BDA-PL) was proposed. It integrated big data analytics and service-driven patterns that helped to overcome the above-mentioned barriers. Under the architecture, the availability and accessibility of data and knowledge related to the product were achieved. Focusing on manufacturing and maintenance process of the product lifecycle, and the key technologies were developed to implement the big data analytics. The presented architecture was demonstrated by an application scenario, and some observations and findings were discussed in details. The results showed that the proposed architecture benefited customers, manufacturers, environment and even all stages of PLM, and effectively promoted the implementation of CP. In addition, the managerial implications of the proposed architecture for four departments were analyzed and discussed. The new CP strategy provided a theoretical and practical basis for the sustainable development of manufacturing enterprises.

  • 1176847. Zhang, Yingfeng
    et al.
    Wang, Jin
    Liu, Sichao
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanxi, 710072, China.
    Qian, Cheng
    Game theory based real-time shop floor scheduling strategy and method for cloud manufacturing2017In: International Journal of Intelligent Systems, ISSN 0884-8173, E-ISSN 1098-111X, Vol. 32, no 4, p. 437-463Article in journal (Refereed)
    Abstract [en]

    With the rapid advancement and widespread application of information and sensor technologies in manufacturing shop floor, the typical challenges that cloud manufacturing is facing are the lack of real‐time, accurate, and value‐added manufacturing information, the efficient shop floor scheduling strategy, and the method based on the real‐time data. To achieve the real‐time data‐driven optimization decision, a dynamic optimization model for flexible job shop scheduling based on game theory is put forward to provide a new real‐time scheduling strategy and method. Contrast to the traditional scheduling strategy, each machine is an active entity that will request the processing tasks. Then, the processing tasks will be assigned to the optimal machines according to their real‐time status by using game theory. The key technologies such as game theory mathematical model construction, Nash equilibrium solution, and optimization strategy for process tasks are designed and developed to implement the dynamic optimization model. A case study is presented to demonstrate the efficiency of the proposed strategy and method, and real‐time scheduling for four kinds of exceptions is also discussed.

  • 1176848.
    Zhang, Yingfeng
    et al.
    Northwestern Polytech University, Peoples R China.
    Wang, Jin
    Northwestern Polytech University, Peoples R China.
    Liu, Yang
    Linköping University, Department of Management and Engineering. Linköping University, Faculty of Science & Engineering. University of Vaasa, Finland.
    Game theory based real-time multi-objective flexible job shop scheduling considering environmental impact2017In: Journal of Cleaner Production, ISSN 0959-6526, E-ISSN 1879-1786, Vol. 167, p. 665-679Article in journal (Refereed)
    Abstract [en]

    Production scheduling greatly contributes to optimising the allocation of processes, reducing resource and energy consumption, lowering production costs and alleviating environmental pollution. It is an effective way to progress towards green manufacturing. With the extensive use of the Internet of Things in the manufacturing shop floor, a huge amount of real-time data is created. A typical challenge is how to achieve the real-time data-driven optimisation for the manufacturing shop floor to improve energy efficiency and production efficiency. To address this problem, a dynamic game theory based two-layer scheduling method was developed to reduce makespan, the total workload of machines and energy consumption to achieve real-time multi-objective flexible job shop scheduling. To obtain an optimal solution, a sub-game perfect Nash equilibrium solution was designed. Then, a case study was employed to analyse the performance of the proposed method. The results showed that the makespan, the total workload of machines and energy consumption were reduced by 4.5%, 8.75%, and 9.3% respectively. These improvements can contribute to sustainable development and cleaner production of manufacturing industry. (C) 2017 Elsevier Ltd. All rights reserved.

  • 1176849. Zhang, Yingfeng
    et al.
    Wang, Wenbo
    Liu, Sichao
    School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an 710072, China.
    Xie, Gongnan
    Real-time shop-floor production performance analysis method for the internet of manufacturing things2014In: Advances in Mechanical Engineering, ISSN 1687-8132, E-ISSN 1687-8140, Vol. 6, article id 270749Article in journal (Refereed)
    Abstract [en]

    Typical challenges that manufacturing enterprises are facing now are compounded by lack of timely, accurate, and consistent information of manufacturing resources. As a result, it is difficult to analyze the real-time production performance for the shopfloor. In this paper, the definition and overall architecture of the internet of manufacturing things is presented to provide a new paradigm by extending the techniques of internet of things (IoT) to manufacturing field. Under this architecture, the real-time primitive events which occurred at different manufacturing things such as operators, machines, pallets, key materials, and so forth can be easily sensed. Based on these distributed primitive events, a critical event model is established to automatically analyze the real-time production performance. Here, the up-level production performance analysis is regarded as a series of critical events, and the real-time value of each critical event can be easily calculated according to the logical and sequence relationships among these multilevel events. Finally, a case study is used to illustrate how to apply the designed methods to analyze the real-time production performance.

  • 1176850.
    Zhang, Yingfeng
    et al.
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanx, China / Department of Industrial Engineering, Northwestern Polytechnical University, Xi’an, China.
    Zhang, Geng
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanx, China.
    Liu, Yang
    Department of Production, University of Vaasa, Vaasa, Finland.
    Hu, Di
    Key Laboratory of Contemporary Design and Integrated Manufacturing Technology, Ministry of Education, Northwestern Polytechnical University, Shaanx, China.
    Research on services encapsulation and virtualization access model of machine for cloud manufacturing2015In: Journal of Intelligent Manufacturing, ISSN 0956-5515, E-ISSN 1572-8145, p. 1-15Article in journal (Refereed)
    Abstract [en]

    Considering the new requirements of the services encapsulation and virtualization access of manufacturing resources for cloud manufacturing (CMfg), this paper presents a services encapsulation and virtualization access model for manufacturing machine by combining the Internet of Things techniques and cloud computing. Based on this model, some key enabling technologies, such as configuration of sensors, active sensing of real-time manufacturing information, services encapsulation, registration and publishing method are designed. By implementing the proposed services encapsulation and virtualization access model to manufacturing machine, the capability of the machine could be actively perceived, the production process is transparent and can be timely visited, and the virtualized machine could be accessed to CMfg platform through a loose coupling, ‘plug and play’ manner. The proposed model and methods will provide the real-time, accurate, value-added and useful manufacturing information for optimal configuration and scheduling of large-scale manufacturing resources in a CMfg environment.

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