bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanisms of self-assembly and fibrillization of the prion-like domains
Authors: Lu Yimei , Lim Liangzhong , Tan Yanming , Wang Lu , Song Jianxing 
Published: July 2016

AbstractThe mechanism of the self-assembly and fibrillization of the prion-like domains lies at the heart of their physiology and pathology. Here with the same methods previously established, we aimed to further decipher the mechanism by characterizing two prion-like sequences with the electrostatic properties very different from that of the full-length TDP-43 prion-like domain with a very basic pI value: namely the C-half of the TDP-43 prion-like domain only abundant in Gly, Ser, Asn and Gln with a pI of ~6.3, and the FUS prion-like domain enriched with Gly, Ser, Gln and Tyr with a pI of ~3.5. Interestingly, the C-half with the TDP-43 unique hydrophobic region removed is no longer able to form insoluble aggregates/fibrils but still capable of self-assembling into the reversible hydrogel with cross-β structures, despite being much slower than the full-length. On the other hand, the FUS prion-like domain rapidly self-assembles into the reversible hydrogel with cross-β fibrillar structures in 1 mM phosphate buffer at pH 6.8 but its self-assembly becomes very slow in 50 mM MES buffer at pH 5.5. Our study reveals that despite having completely different electrostatic properties, the full-length and C-half of the TDP-43 prion-like domain, as well as FUS prion-like domain all have the similar pH-dependence in self-assembly as we previously reported (Lim et al., [2016] PLOS Biol 14:e1002338). This unambiguously indicates that the self-assembly of the prion-like domains is not generally governed by the electrostatic interaction. Rather, their self-assembly and fibrillization are specified by the sequences despite being highly polar and degenerative. Furthermore, our study provides the first evidence that the formation of reversible hydrogel with cross-β structures is separable from fibrillization of the prion-like domain. Finally, our results also successfully reconcile the previous discrepancy about the conformation and mechanism of the self-assembly of the FUS prion-like domain.
Mosaic Mutations in Blood DNA Sequence Are Associated with Solid Tumor Cancers
Authors: Artomov Mykyta , Rivas Manuel A. , Genovese Giulio , Daly Mark J. 
Published: July 2016

AbstractRecent findings in understanding the causal role of blood-detectable somatic protein-truncating DNA variants in leukemia prompt questions about generalizability of such observations for other cancer types. We used exome sequencing to compare 22 different cancer phenotypes from TCGA data (~8,000 samples) with more than 6,000 controls using a case-control study design and demonstrate that mosaic protein truncating variants in these genes are also associated with solid-tumor cancers. We analyzed tumor DNA samples from TCGA and observed that the cancer-associated mosaic variants are absent from the tumors.Through analysis of different cancer phenotypes we observe gene-specificity for mosaic mutations. PPM1D in previous reports has been linked to breast and ovarian cancer, which our analysis confirms as a specifically associated to ovarian cancer. Additionally, glioblastoma, melanoma and lung cancers show gene specific burden of the mosaic protein truncating mutations. Taken together, these results extend existing observations broadly and link solid-tumor cancers to somatic blood DNA changes.
Weighted absolute degree of grey incidence with TOPSIS and its application
Authors: Li Qian 
Published: July 2016

Purpose
– The purpose of this paper is to evaluate and rank the influence of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS.

Design/methodology/approach
– This disaggregation method includes four main steps, determine the vector of weights for the factors by analytic hierarchy process, calculate the matrix of consistent effect measure, determine the weighted absolute degree of grey incidence with TOPSIS, rank and evaluate the events.

Findings
– We get the ranking of internet public opinion of China’s Government work in 2015 by weighted absolute degree of grey incidence with TOPSIS. The result can be used for evaluating and ranking the influence of internet public opinion in China. The positive weighted absolute degree of grey incidence, the negative weighted absolute degree of grey incidence and the weighted absolute degree of grey incidence with TOPSIS have the same ranking results. The same ranking results show that the method of weighted absolute degree of grey incidence with TOPSIS has good consistency.

Practical implications
– The weighted absolute degree of grey incidence with TOPSIS can be easily used for other evaluation.

Originality/value
– The weighted absolute degree of grey incidence with TOPSIS is proposed and first used for evaluating and ranking the influence of internet public opinion of China’s Government work.
Smart supply chain management: a review and implications for future research
Authors: Wu Lifang , Yue Xiaohang , Jin Alan , Yen David C. 
Published: July 2016

Purpose– As traditional supply chains are increasingly becoming intelligent with more objects embedded with sensors and better communication, intelligent decision making and automation capabilities, the new smart supply chain presents unprecedented opportunities for achieving cost reduction and enhancing efficiency improvement. The purpose of this paper is to study and explore the currents status and remaining issues of smart supply chain management.Design/methodology/approach– A literature review is conducted to synthesize the earlier work in this area, and to conceptualize and discuss the smart supply chain characteristics. Further, the authors formulate and investigate five key research topics including information management, IT infrastructure, process automation, advanced analytics, and supply chain integration.Findings– Studies in those aforementioned subject fields are reviewed, categorized, and analyzed based on the review questions defined in the study. It is notable that while the topics of converging atoms with digits are increasingly attracting attention from researchers and practitioners alike, there are many more interesting research questions needing to be addressed.Originality/value– The paper provides original and relevant guidance for supply chain management researchers and practitioners on developing smart supply chains.
Closing the loop
Authors: O'Reilly Seamus , Kumar Anita 
Published: July 2016

Purpose– Increased economic development in emerging economies has spurred the growth of “fast fashion” and this in turn has led to not only an opportunity for recycling activity but also a need to do so from a sustainability perspective. The purpose of this paper is to consider the emergence of such recycling activity in a developing economy.Design/methodology/approach– A process flow approach guides identification of stakeholders and an analysis of reverse supply chain structure and processes. An adapted and extended theory of planned behaviour (TPB) model is employed to explore recycling behaviour at the household level.Findings– The authors find rather haphazard garment recycling channels in Delhi NCR. In particular product acquisition processes are characterised by poor value appropriation and provide a limited service to households. This is supported by the householder survey that finds poor satisfaction levels with most recycling channels. PLS path modelling tested hypotheses that each of the four constructs (attitudes, subjective norm, perceived control and sense of duty) are significant determinants of “intention to plan to recycle”. Having tested for various possible meditating effects, sense of duty was found to act as a precursor to attitude. In this model all other constructs were significant determinants of intention to recycle garments. Thus the study highlights the role of “sense of duty” in attitude formation, a key determinant of intention to recycle garments. This highlights the importance of adherence to sustainable practices and the need for associated governance and regulation. Subjective norm points to the impact of a range of people, including experts. While perceived control points to difficulties encountered both from a self-efficacy and external (opportunity) perspectives.Practical implications– The findings suggest that reverse supply chain design should address the limitations of the product acquisition process (especially poor value appropriation and limited collection services) and respond to household motivational factors and perceived difficulties.Originality/value– The study considers the impact of the garment product lifecycle on household behaviour. In this context the adapted TPB model addressed the role of conscious planning. The model is extended to include sense of duty, this contributes to emerging work in this field.
Teaching distribution planning: a problem-based learning approach
Authors: Grasas Alex , Ramalhinho Helena 
Published: July 2016

Purpose
– The purpose of this paper is to present a problem-based learning (PBL) activity that uses a decision support system (DSS) to teach one of the most fundamental topics in distribution planning: vehicle routing.

Design/methodology/approach
– The authors describe their teaching experience in a logistics and supply chain management (LSCM) course. In the PBL activity proposed, students need to solve a typical vehicle routing case with no previous theoretical background taught. The paper is written as a teaching guide for other instructors, detailing how the activity may be carried out in class.

Findings
– The PBL activity involved students from the very beginning, challenging them to solve a rather complicated problem. Its acceptance was very positive according to the student feedback survey conducted after the activity. Only when struggling with the difficulties of the case proposed, did students really appreciate the potential value of a DSS for making better decisions. Moreover, this activity raised concerns about how DSSs must be adapted for implementation in every business scenario.

Originality/value
– Teaching logistics management goes beyond lecturing on elemental concepts and tools; it is also about applying this knowledge to manage things. Although several PBL initiatives have been reported to be successful in the field of LSCM, this one incorporates a web-based DSS. The main issue in PBL activities is finding authentic and representative problems to develop transferable skills, and currently most logistics problems are solved using DSS.
The impact of trunk route deployment changes on pollutant emissions in international container shipping after Panama Canal expansion
Authors: Tai Hui-Huang , Lin Dung-Ying 
Published: July 2016

Purpose
– The expansion of the Panama Canal that is completed in 2016 provides container carriers with new opportunities to redeploy global oceangoing trunk routes. The purpose of this paper is to examine the cargo sources and geographical locations of three trunk routes, the departure points of which are all in East Asia.

Design/methodology/approach
– The operating conditions of various shipping practices were used to simulate trunk route deployment after canal expansion. Subsequently, a clean-line strategy featuring liquefied natural gas (LNG) as a replacement for heavy oil is proposed to explore the effects that container carriers have on energy savings and emission reductions.

Findings
– The results showed that the unit emissions of ships traveling trunk routes in East Coast North America and East Coast South America did not differ significantly regardless of whether the container carrier employed a conventional method or the new deployment plan following the expansion of the Panama Canal. By contrast, the adoption of a new method for sailing through the canal yields significant emission reductions for Far East/Europe routes. In addition, the slow-steam strategy adopted by carriers and the more costly clean-line strategy of LNG-fueled ships are both effective when applied to trunk routes.

Originality/value
– The results of this study provide a reference to container carriers deploying route structures and the International Maritime Organization when promoting emission-reduction policies.
Leveraging logistics learning capability to enable logistics service capabilities and performance for international distribution center operators in Taiwan
Authors: Yang Ching-Chiao 
Published: July 2016

Purpose– The purpose of this paper is to empirically assess the impacts of logistics learning capability on logistics service capability and organizational performance in the context of international distribution center operators (IDCOs) in Taiwan.Design/methodology/approach– Data for this study were collected by questionnaire survey. A two-steps structural equation modeling (SEM) approach was performed in this study to test the research hypotheses. The first step is performing confirmatory factor analysis (CFA) to assess the validity of the measurement model. The second step proceeds to estimate the structural model between latent variables.Findings– A five-dimension scale including open-mindedness (O), commitment to learning (C), system perspective (E), partner learning (A), and shared vision (N) was proposed in this study and was supported by CFA analysis to measure IDCOs’ logistics learning capability in this study. Results of SEM indicated that logistics learning capability is positively related to logistics service capability, whereas logistics service capability is also positively related to organizational performance. Although logistics learning capability has no direct relationship to organizational performance, we found it indirectly affects organizational performance via logistics service capability.Research limitations/implications– This study primarily focusses on the effect of logistics learning on organizational performance. Future research could incorporate environmental uncertainty as a moderator to assess its impact on the relationship between logistics learning capability and organizational performance.Practical implications– IDCOs can enhance customer service and financial performance by developing logistics learning capability and specifically focussing efforts on supply chain partner learning.Originality/value– This study presents the first to examine the effects of logistics learning capability on logistics service capability and organizational performance in the context of IDCOs. Particularly, this study proposes a five-dimension logistics learning capability scale from a supply chain perspective.
The use of an optimisation model to design a green supply chain
Authors: Chanchaichujit Janya , Saavedra-Rosas Jose , Quaddus Mohammed , West Martin 
Published: July 2016

Purpose
– The purpose of this paper is to take the first step in solving environmental supply chain management issues. It proposes a green supply chain management (GSCM) model which would provide environmental benefits to the Thai rubber industry. To this end, a GSCM optimisation model was formulated, whereby the manufacturing processes of rubber products, along with their distribution and transportation, could be improved. The expected result is that total greenhouse gas emissions would be minimised and environmental performance maximised.

Design/methodology/approach
– Linear programming was chosen as the mathematical programming for investigation into the problem of finding the association of quantity of rubber product flow between the supply chain entities (farmer, trader group, and factory) and the transportation mode and route, with a view to minimise total greenhouse gas emissions.

Findings
– The results indicate that by using the proposed model, GHG emissions could be minimised to 1.08 tons of GHGs per ton of product.

Practical implications
– A GSCM model developed in this research can be used as a decision support tool for Thai rubber policy makers. This would allow them to better manage the Thai rubber industry to achieve environmental benefit.

Originality/value
– This research is among the first attempts to develop a GSCM model for the Thai rubber industry. It can contribute to providing a basis for a GSCM modelling framework, along with a formulation for research development in this area.
The impact of coping style, self-efficacy, emotional reaction and resilience on trauma related intrusive thoughts
Authors: McBride Hazel , Ireland Carol 
Published: July 2016

Purpose
– The purpose of this paper is to explore the impact of coping style, self-efficacy, resilience and emotional reaction of trauma-related intrusions in young offenders.

Design/methodology/approach
– This is a quantitative study using questionnaires. The sample was 152 young offenders in custody who were approached in their residential hall. Upon agreeing to participate they were given 24 hours to complete the questionnaire pack and returned these to the researcher at a designated time and place.

Findings
– Over 90 per cent of the sample indicated at least one traumatic event; 33.6 per cent indicated eight or more. Number of traumatic events did not impact on self-efficacy, resilience or coping strategy used. The type of coping strategy did not significantly impact on emotional reaction to intrusions across trauma groups. Participants with higher self-efficacy demonstrated greater problem-focused coping and less emotional reaction to intrusions. Participants with greater resilience scores utilised more problem and emotion-focused coping and experienced less emotional reaction to their intrusions. Resilience was predicted by self-efficacy and emotional reaction to intrusions.

Practical implications
– Professionals working with young offenders with trauma-related intrusions should focus on building strengths in the areas of problem-focused coping, self-efficacy and resilience.

Originality/value
– This paper adds to the literature on trauma in male young offenders by looking at psychological factors which could be developed upon to improve ability to manage intrusive thoughts.
Asset integrity management: offshore installations challenges
Authors: Kusumawardhani Mayang , Kumar Rajesh , Tore Markeset 
Published: July 2016

Purpose
– The purpose of this paper is to identify the challenges facing asset integrity management (AIM) practices in the oil and gas industry, in order to continually develop AIM practices in organisations. The focus is to investigate various challenges in fluctuating oil and gas market conditions, and how organisations can continuously ensure the safety and integrity of their offshore facilities.

Design/methodology/approach
– AIM challenges were identified by analysing data from literature study, guided interviews and web-based questionnaire with industrial experts in regions in North America, Southeast Asia and Norway. The results are validated through triangulation method with both quantitative and qualitative technique, as well as comparison with other studies.

Findings
– The paper identifies, analyses and validates the challenges and factors that may impact the management of asset integrity on offshore installations. The challenges were discussed to develop understanding of the root cause and thus aim to resolve underlying issues.

Research limitations/implications
– The paper focuses on offshore production installations with experts from organisations that have experience in Gulf of Mexico, Brazil, South Asia, Southeast Asia and Norway fields. The sample of respondents may not represent the entire population; however, the same approach and result can be used in similar topics and conditions.

Originality/value
– The identified challenges can be used by organisations to resolve underlying AIM challenges, improve their AIM strategy and obtain insights into current AIM practices in the petroleum industry.
The determinants of leasing decisions: an empirical analysis from Chinese listed SMEs
Authors: Li Tongxia , Karim Rahimie , Munir Qaiser 
Published: July 2016

Purpose
– The purpose of this paper is to investigate the determinants of leasing decisions for a sample of China’s non-financial small and medium-sized enterprises (SMEs).

Design/methodology/approach
– Pooled ordinary least squares and Tobit models are used to analyze five years of data (2009-2013) on the sample units, to find the determinants of leasing decisions after controlling for industry. In order to assess the robust of the results, the authors further apply instrumental variables methods.

Findings
– The results suggest that CEO ownership, tax rate, financial distress potential, and firm size are positively related to the operating lease share, whereas debt ratio, profitability, and tangibility are negatively linked to the operating lease share. In contrast, capital lease share increases with debt ratio, profitability, firm size, and strong corporate governance; it decreases with CEO ownership and financial distress potential.

Research limitations/implications
– Using a small sample might not be enough capture industry effects. Future research may gain more insights using sufficient sample and considering the types of leases as well as leased assets.

Practical implications
– This study offers evidences to the policy-makers who may adopt the practices to promote the development of leasing market. Furthermore, these results provide important implications to lessors in making operating strategy decisions and to potential lessees in making financing decisions.

Originality/value
– To the authors’ limited knowledge, this is the first study on leasing relies on publicly traded Chinese SMEs. The results of this study enrich the literature on the determinants of leasing in several ways.
Santa Claus Rally and firm size
Authors: Washer Kenneth M , Nippani Srinivas , Johnson Robert R 
Published: July 2016

Purpose
– Several articles in the popular press have detailed an end-of-year anomaly known as the Santa Claus Rally, a period best defined as the last five trading days of December and the first two trading days of January. The purpose of this paper is to examine US stock market returns over this period from 1926 to 2014.

Design/methodology/approach
– The authors examine the Santa Claus Rally by relating it to firm size in the stock markets of the USA. The Santa Claus Rally consists of the last five trading days in December and the first two in January. The authors use t-tests, non-parametric test and regression analysis to determine if investors in small firms get superior returns over the period 1926-2014.

Findings
– The authors find that returns are generally higher during the period and that the effect is considerably stronger for small-firm portfolios relative to large capitalization portfolios. The authors also provide convincing evidence that the three most important trading days (especially for small stock portfolios) are the last trading day in December and the first two trading days in January.

Research limitations/implications
– The authors only check the markets in the USA. Market makers can use this to get significantly high returns during the Christmas-New Year period. The study shows for the first time that there is a size effect as part of the Santa Claus Rally.

Practical implications
– This is the first study to show that Santa Claus Rally exists for a long time in the USA. It is the first study to show that there is a size effect in Santa Claus Rally. Market participants could get significantly higher returns by investing or being invested in the stock market during this period.

Social implications
– The impact of the holiday season on stock market returns.

Originality/value
– This is the first major academic study to examine Santa Claus Rally in this much detail. The authors not only show that the rally exists, the authors show that it is based on firm size and has been in existence for nearly 90 years in the USA.