The Impact of Retailer-Supplier Cooperation and Decision-Making Uncertainty on Supply Chain Performance

Buyer-supplier relationships have been increasingly considered a critical part of contemporary supply chain management. In response to dynamic and unpredictable market changes, buyers and suppliers enter into cooperative relationships to pursue individual goals and joint goals for better economic and non-economic performance of the supply chain. On the other hand, cooperation between channel members is surrounded by uncertainty, which can create a detrimental impact on the performance of a supply chain. Previous research has focused on various aspects of uncertainty that could affect supply chain member behaviour. The present research contends that relationship behavioural factors play an important role in increasing or mitigating channel members’ perceived uncertainty in their supply or purchase decision-making. Specifically, the purpose of this research is to investigate the impact of retailer-supplier cooperation and retailer/supplier’s decision-making uncertainty (DMU) on retail supply chain performance from the perspectives of both the retailer and the supplier. A holistic model was developed as the theoretical framework for this conceptualisation. A sample of 202 retailers and 64 suppliers in the sporting goods retail business in Taiwan was used to separately test a number of hypothesised relationships by using structural equation modelling (SEM). The findings indicate that both cooperation and DMU are the key determinants of retail supply chain performance, including financial performance and non-financial performance (i.e., supply flexibility and customer service). Financial performance is positively affected by retailer-supplier cooperation and negatively affected by DMU in both the retailer model and the supplier model. The five dimensions of retailer-supplier cooperation (i.e. trust, guanxi, dependence, coercive power and non-coercive power) have significant effects on cooperation. However, apart from guanxi with the retailer/supplier, neither other relationship dimensions nor retailer-supplier cooperation have any influence on retailer’s DMU or supplier’s DMU. The results also indicate that differences and similarities exist across retailers and suppliers with respect to the effects of several relationship dimensions on cooperation and uncertainty. 2 The holistic empirical model developed for this research contributes further to understanding the links, which have been lacking in the extant channel relationship literature and supply chain management literature, between buyer-supplier relationships, DMU, and supply chain performance. The findings that a retailer/supplier’s DMU can erode the performance of a supply chain in various aspects highlight the need for improvement in some areas of supply chain efficiency and effectiveness, through cooperation-enhancing actions between the retailer and the supplier. From a managerial perspective, the performance improvement in the supply chain, in turn, will motivate more reciprocal commitment and efforts from the retailer and the supplier to maintain their working relationship. As such, mutual trust and enriched guanxi, dependence and non-coercive power help both the retailer and the supplier to have less uncertainty in their purchase/supply decision-making process. It creates a win-win position for both parties in the supply chain

Remuneration of primary dental care in England: a qualitative framework analysis of perspectives of a new service delivery model incorporating incentives for improved access, quality and health outcomes

Objective: This study aimed to describe stakeholder perspectives of a new service delivery model in primary care dentistry incorporating incentives for access, quality and health outcomes. Design: Data were collected through observations, interviews and focus groups. Setting: This was conducted under six UK primary dental care practices, three working under the incentive-driven contract and three working under the traditional activity-based contract. Participants: Observations were made of 30 dental appointments. Eighteen lay people, 15 dental team staff and a member of a commissioning team took part in the interviews and focus groups. Results: Using a qualitative framework analysis informed by Andersen’s model of access, we found oral health assessments influenced patients’ perceptions of need, which led to changes in preventive behaviour. Dentists responded to the contract, with greater emphasis on prevention, use of the disease risk ratings in treatment planning, adherence to the pathways and the utilisation of skill-mix. Participants identified increases in the capacity of practices to deliver more care as a result. These changes were seen to improve evaluated and perceived health and patient satisfaction. These outcomes fed back to shape people’s predispositions to visit the dentist. Conclusion: The incentive-driven contract was perceived to increase access to dental care, determine dentists’ and patients’ perceptions of need, their behaviours, health outcomes and patient satisfaction. Dentists face challenges in refocusing care, perceptions of preventive dentistry, deployment of skill mix and use of the risk assessments and care pathways. Dentists may need support in these areas and to recognise the differences between caring for individual patients and the patient-base of a practice

Sources of variation in cell-type RNA-Seq profiles

Cell-type specific gene expression profiles are needed for many computational methods operating on bulk RNA-Seq samples, such as deconvolution of cell-type fractions and digital cytometry. However, the gene expression profile of a cell type can vary substantially due to both technical factors and biological differences in cell state and surroundings, reducing the efficacy of such methods. Here, we investigated which factors contribute most to this variation. We evaluated different normalization methods, quantified the variance explained by different factors, evaluated the effect on deconvolution of cell type fractions, and examined the differences between UMI-based single-cell RNA-Seq and bulk RNA-Seq. We investigated a collection of publicly available bulk and single-cell RNA-Seq datasets containing B and T cells, and found that the technical variation across laboratories is substantial, even for genes specifically selected for deconvolution, and this variation has a confounding effect on deconvolution. Tissue of origin is also a substantial factor, highlighting the challenge of using cell type profiles derived from blood with mixtures from other tissues. We also show that much of the differences between UMI-based single-cell and bulk RNA-Seq methods can be explained by the number of read duplicates per mRNA molecule in the single-cell sample. Our work shows the importance of either matching or correcting for technical factors when creating cell-type specific gene expression profiles that are to be used together with bulk samples

Evidence Base of Clinical Studies on Qi Gong: A Bibliometric Analysis

© 2020 The Authors Objective: This bibliometric study aimed to systematically and comprehensively summarize the volume, breadth and evidence for clinical research on Qigong. And this bibliometric analysis also can provide the evidence of this field. Design: Bibliometric analysis. Methods: All types of primary and secondary studies on humans were included: systematic reviews, randomized clinical trials, non-randomized controlled clinical studies, case series and case reports. Chinese Biomedical Literature Database, China National Knowledge Infrastructure, Chinese Scientific Journal Database, Chinese Academic Conference Papers Database and Chinese Dissertation Database, PubMed and the Cochrane Library were searched from the date of inception to December 10, 2018. Bibliometric information, such as publication information, disease/condition, Qigong intervention and research results were extracted and analyzed. Results: A total of 886 clinical studies were identified: including 47 systematic reviews, 705 randomized clinical trials, 116 non-randomized controlled clinical studies, 12 case series and 6 case reports. The studies were conducted in 14 countries. The top 15 diseases/conditions studied were: diabetes, chronic obstructive pulmonary disease, hypertension, stroke, cervical spondylosis, lumbar disc herniation, insomnia, knee osteoarthritis, low back pain, and osteoporosis, Coronary heart disease, breast cancer, periarthritis of shoulder, depression, metabolic syndrome. Of the various Qigong exercises reported in these 886 clinical studies, Ba Duan Jin was the most frequently researched in 492 (55.5%) studies, followed by Health Qigong 107 (12.1%), Dao Yin Shu 85 (9.6%), Wu Qin Xi 67 (7.6%) and Yi Jin Jing 66 (7.4%). The most frequently used comparisons in randomized trials were maintaining normal way of life unchanged 149 (18.1%), the remaining controls included conventional treatment, mainly western medicine, Chinese herbal medicine, acupuncture, health education, psychological therapy, Yoga, Tai Chi and other non-drug therapy. The most frequently reported outcomes were physical function, quality of life, symptoms, pain and mental health indicators. Beneficial results from practicing Qigong were reported in 97% of studies. Conclusions: Qigong research publications have been increasing gradually. Reports on study types, participants, Qigong Intervention, and outcomes are diverse and inconsistent. There is an urgent need to develop a set of reporting standards for various interventions of Qigong. Further trials of high methodological quality with sufficient sample size and real world studies are needed to verify the effects of Qigong in health and disease management

Weight‐Related Differences in Salience, Default Mode, and Executive Function Network Connectivity in Adolescents

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/156135/2/oby22853.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/156135/1/oby22853_am.pd

DSAVE: Detection of misclassified cells in single-cell RNA-Seq data

Single-cell RNA sequencing has become a valuable tool for investigating cell types in complex tissues, where clustering of cells enables the identification and comparison of cell populations. Although many studies have sought to develop and compare different clustering approaches, a deeper investigation into the properties of the resulting populations is lacking. Specifically, the presence of misclassified cells can influence downstream analyses, highlighting the need to assess subpopulation purity and to detect such cells. We developed DSAVE (Down-SAmpling based Variation Estimation), a method to evaluate the purity of single-cell transcriptome clusters and to identify misclassified cells. The method utilizes down-sampling to eliminate differences in sampling noise and uses a log-likelihood based metric to help identify misclassified cells. In addition, DSAVE estimates the number of cells needed in a population to achieve a stable average gene expression profile within a certain gene expression range. We show that DSAVE can be used to find potentially misclassified cells that are not detectable by similar tools and reveal the cause of their divergence from the other cells, such as differing cell state or cell type. With the growing use of single-cell RNA-seq, we foresee that DSAVE will be an increasingly useful tool for comparing and purifying subpopulations in single-cell RNA-Seq datasets

Identification of Bio-oil Compound Utilizing Yeasts Through Phenotypic Microarray Screening

Abstract: Biomass pyrolysis bio-oil contains a plethora of carbon sources with the potential to be utilized by microorganisms and converted into high value products. However, the majority of these compounds are either highly toxic to microorganisms or are not directly utilizable. Hence research is required to develop methods of separating microbe friendly compounds from inhibitory ones, and to also identify novel microorganisms that can utilise the principal carbon sources in pyrolysis bio-oil. This study employed a phenotypic microarray (PM) technique that measured yeast metabolic output to screen for and shortlist yeast strains able to metabolize various bio-oil carbon sources, with a focus on the anhydrosugar levoglucosan. Four strains of yeast (two Pichia spp. and two Kluyveromyces spp.) were shortlisted due to their high metabolic output (between 79.7 and 113.7 redox signal intensity) on levoglucosan from the PM assay. Under anaerobic fermentation conditions the strains were able to uptake levoglucosan (between 79 and 100% uptake efficiency) but not produce bioethanol; yet trace amounts of acetic acid were generated. This study demonstrated the application of applying the PM technique to screen for novel yeast strains with abilities to metabolize compounds present in pyrolysis bio-oil that could lead to the identification of novel levoglucosan utilization pathways. Graphical Abstract: [Figure not available: see fulltext.]