bluuebunny/crossref_metadata_2025_split huggingface dataset:
A multi-hierarchical approach reveals D-serine as a hidden substrate of sodium-coupled monocarboxylate transporters
Authors: Wiriyasermkul Pattama , Moriyama Satomi , Suzuki Masataka , Kongpracha Pornparn , Nakamae Nodoka , Takeshita Saki , Tanaka Yoko , Matsuda Akina , Miyasaka Masaki , Hamase Kenji , Kimura Tomonori , Mita Masashi , Sasabe Jumpei , Nagamori Shushi 
Published: August 2020

AbstractTransporter research primarily relies on the canonical substrates of well-established transporters. This approach has limitations when studying transporters for the low-abundant micromolecules, such as micronutrients, and may not reveal physiological functions of the transporters. While D-serine, a trace enantiomer of serine in the circulation, was discovered as an emerging biomarker of kidney function, its transport mechanisms in the periphery remain unknown. Here, using a multi-hierarchical approach from body fluids to molecules, combining multi-omics, cell-free synthetic biochemistry, andex vivotransport analyses, we have identified two types of renal D-serine transport systems. We revealed that the small amino acid transporter ASCT2 serves as a D-serine transporter previously uncharacterized in the kidney and discovered D-serine as a noncanonical substrate of the sodium-coupled monocarboxylate transporters (SMCTs). These two systems are physiologically complementary, but ASCT2 dominates the role in the pathological condition. Our findings not only shed light on renal D-serine transport, but also clarify the importance of non-canonical substrate transport. This study provides a framework for investigating multiple transport systems of various trace micromolecules under physiological conditions and in multifactorial diseases.
A human cancer cell line initiates DNA replication normally in the absence of ORC5 and ORC2 proteins
Authors: Shibata Etsuko , Dutta Anindya 
Published: August 2020

ABSTRACTThe Origin Recognition Complex (ORC), composed of six subunits, ORC1-6, binds to origins of replication as a ring-shaped heterohexameric ATPase that is believed to be essential to recruit and load MCM2-7 around DNA and initiate DNA replication. We had reported the creation of viable cancer cell lines that lacked detectable ORC1 or ORC2 protein without a significant decrease in the number of origins firing. We now report that human HCT116 colon cancer cells also survive with a mutation in the initiator ATG of theORC5gene that abolishes the expression of ORC5 protein. Even if an internal methionine is used to produce an undetectable, N terminally deleted ORC5, the protein would lack 80% of the AAA+ ATPase domain, including the Walker A motif. The ORC5-depleted cells show normal chromatin binding of MCM2-7 and initiate replication from similar number of origins as wild type cells. In addition, we introduced a second mutation inORC2in theORC5mutant cells rendering both ORC5 and ORC2 proteins undetectable in the same cells, and destabilizing the ORC1, ORC3 and ORC4 proteins. Yet the double mutant cells grow, recruit MCM2-7 normally to chromatin and initiate DNA replication with normal number of origins. Thus, in these selected cancer cells, either a crippled ORC lacking ORC2 and ORC5 and present at minimal levels on the chromatin can recruit and load enough MCM2-7 to initiate DNA replication, or human cell-lines can sometimes recruit MCM2-7 to origins independent of ORC.
A diagnostic decision-making protocol combines a new-generation of serological assay and PCR to fully resolve ambiguity in COVID-19 diagnosis
Authors: Cheng Hu , Chen Hao , Li Yiting , Zheng Peiyan , Gu Dayong , He Shiping , Ma Dongli , Wang Ruifang , Han Jun , Lu Zhongxin , Xia Xinyi , Deng Yi , Yang Lan , Xu Wenwen , Wu Shanhui , Liang Cuiying , Wang Hui , Sun Baoqing , Zhong Nanshan , Ma Hongwei 
Published: August 2020

AbstractThe capacity to accurately diagnosis COVID-19 is essential for effective public health measures to manage the ongoing global pandemic, yet no presently available diagnostic technologies or clinical protocols can achieve full positive predictive value (PPV) and negative predictive value (NPV) performance. Two factors prevent accurate diagnosis: the failure of sampling methods (e.g., 40% false negatives from PCR testing of nasopharyngeal swabs) and sampling-time-dependent failures reflecting individual humoral responses of patients (e.g., serological testing outside of the sero-positive stage). Here, we report development of a diagnostic protocol that achieves full PPV and NPV based on a cohort of 500 confirmed COVID-19 cases, and present several discoveries about the sero-conversion dynamics throughout the disease course of COVID-19. The fundamental enabling technology for our study and diagnostic protocol—termed SANE, for Symptom (dpo)-Antibody-Nucleic acid-Epidemiological history—is our development of a peptide-protein hybrid microarray (PPHM) for COVID-19. The peptides comprising PPHMcovid-19 were selected based on clinical sample data, and give our technology the unique capacity to monitor a patient’s humoral response throughout the disease course. Among other assay-development related and clinically relevant findings, our use of PPHMcovid-19 revealed that 5% of COVID-19 patients are from an “early sero-reversion” subpopulation, thus explaining many of the mis-diagnoses we found in our comparative testing using PCR, CLIA, and PPHMcovid-19. Accordingly, the full SANE protocol incorporates orthogonal technologies to account for these patient variations, and successfully overcomes both the sampling method and sampling time limitations that have previously prevented doctors from achieving unambiguous, accurate diagnosis of COVID-19.
Clustering of age standardised COVID-19 infection fatality ratios and death trajectories
Authors: Kelly Thu-Lan , Humphrey Greer , Miller Caroline , Bowden Jacqueline A , Dono Joanne , Phillips Paddy A 
Published: August 2020

AbstractBackgroundAn accurate measure of the impact of COVID-19 is the infection fatality ratio, or the proportion of deaths among those infected, which does not depend on variable testing rates between nations. The risk of mortality from COVID-19 depends strongly on age and current estimates of the infection fatality ratio do not account for differences in national age profiles. Comparisons of cumulative death trajectories allow the effect and timing of public health interventions to be assessed.Our purpose is to (1) determine whether countries are clustered according to infection fatality ratios and (2) compare interventions to slow the spread of the disease by clustering death trajectories.MethodsNational age standardised infection fatality ratios were derived from age stratified estimates from China and population estimates from the World Health Organisation. The IFRs were clustered into groups using Gaussian mixture models. Trajectory analysis clustered cumulative death rates in two time windows, 50 and 100 days after the first reported death.FindingsInfection fatality ratios from 201 nations were clustered into three groups: young, medium and older, with corresponding means (SD) of 0.20% (0.03%), 0.38% (0.11%) and 0.93% (0.21%).At 50 and 100 days after the first reported death, there were two clusters of cumulative death trajectories from 113 nations with at least 25 deaths reported at 100 days. The first group had slowly increasing or stable cumulative death rates, while the second group had accelerating rates at the end of the time window. Fifty-two nations changed group membership between the time windows.ConclusionA cluster of younger nations have a lower estimated infection fatality ratio than older nations. The effect and timing of public health interventions in preventing the spread of the disease can be tracked by clustering death rate trajectories into stable or accelerating and comparing changes over time.
Perceptions of censorship on Taiwan's popular music in the post-martial law era
Authors: Lin Chen-Yu , Chen Yun-Siou , Chen Yan-Shouh 
Published: August 2020

PurposeThe purpose of this paper is to explore censorship on popular music in Taiwan and how the practices have influenced the consumption and production of music in the post-martial law period.Design/methodology/approachThrough adopting grounded theory with snowball sampling and ethnographic methods, this paper will interview music audiences and musicians as well as analyze recent censorship cases to develop a more comprehensive understanding of the topic.FindingsInstitutional and corporate self-censorship has a noteworthy influence on popular music in post-marital law Taiwan. Cross-strait relations still are a key tension that triggers censorship but the form has been shifting.Originality/valueThis study draws on both the complexity of censorship by case studies and the audience's perception of music in everyday life.
Informal industry–university partnership in gaming education and research: a case study in Macao
Authors: Siu Lam Carlos 
Published: August 2020

PurposeThe aim of this paper is to present a model of a university–industry partnership in gaming education and research. It analyzes the interactions and knowledge transfer between the two parties in Macao.Design/methodology/approachThis paper adopts a qualitative case study approach to share experiences of a university based in Macao as a single case to present its informal partnership with the industry in the area of gaming education and research.FindingsThis paper has shown that the partnership has provided clear benefits to both parties and the government is an influential power that can enhance collaboration. Although the informal partnership involves considerable time and efforts, it is flexible in comparison to the formal approach. Despite this, the knowledge transfer tends to focus on general issues to avoid being appropriated by competitors.Research limitations/implicationsThis demonstrates how a public university in Macao has achieved an informal industry–university partnership, which requires the commitment and understanding of both parties for the bi-directional exchange of knowledge. Such knowledge needs to be value-enhancing for the industry to keep the partnership grow and prosper.Originality/valueThis study puts forward an original approach to an informal industry–university partnership in the area of gaming education and research.
Macao's gaming credit practices: 15 years after the gaming credit law
Authors: Siu Lam Carlos 
Published: August 2020

PurposeThe purpose of this paper is to discuss the evolution of Macao's gaming credit practices with reference to its promulgation of the gaming credit law after its gaming liberalization.Design/methodology/approachA qualitative approach based on in-depth interviews with casino executives, government officials and gamblers to probe their perspectives on Macao's gaming credit practices was adopted due to its underresearched nature. Documentary analysis of annual reports and court files was also used.FindingsDespite the potential of increased revenue with more credit, the credit risk for gaming concessionaires remained under control, while VIP-rooms and junket operators have adopted more prudent policy and faced substantial challenge in credit collection. All these would lead to greater alignment with law-based credit practices.Research limitations/implicationsSince gaming credit information was considered confidential, the author experienced difficulty in arranging the interviews, and the nonprobability sampling characterized by the selection bias might affect the findings.Practical implicationsThe findings have demonstrated some major credit practices such as credit charges on credit balances and terms and conditions for repayment for different credit providers in Macao.Originality/valueThe different credit practices by credit providers at different levels of gaming credit have been presented in the same paper.
Women CEOs in Mexico: gendered local/global divide and the diversity management discourse
Authors: Paludi Mariana I. , Barragan Salvador , Mills Albert 
Published: August 2020

PurposeThe purpose of this study is to add to the existing research on critical perspectives on diversity management (DM). Specifically, this study examines the narratives of women chief executive officers (CEOs) from different countries of origin to understand how they enact the DM discourse by drawing on their past and present experiences at US multinational corporations (MNCs) located in Mexico.Design/methodology/approachThis study, based on six open-ended interviews with local and expatriate women CEOs who work in MNCs situated in Mexico, used a sensemaking approach to analyze their narratives. The theoretical foundation of the study is based on decolonial feminist theory, which is used to analyze the hierarchical binary between Anglo-Saxon/European woman and the Mexican/Latin American woman with respect to the discourse of DM.FindingsThis study found that the dominant discourse used by women CEOs, expats and nationals was a business case for diversity. Female CEOs represent MNCs in favorable terms, compared to those of local companies, despite the nuances in the antagonistic representations in their narratives. This study also found that the women CEOs’ narratives perpetuated a discourse of “otherness” that created a hierarchy between Anglo-Saxons (US/MNCs’ culture) and Latin Americans (Mexican/local companies’ culture).Originality/valueThis study contributes to critical studies on DM by analyzing diverse forms of power involving gender, race/ethnicity and organizational hierarchy. The use of decolonial feminist theory to examine MNCs is a novel approach to understanding women’s identities and the power differences between local/foreign contexts and global/local businesses. This study also discusses the implications of its findings for women in business careers and concludes with a call for more research within the global South (Latin America).
Digital business strategizing: the role of leadership and organizational learning
Authors: Ruel Huub , Rowlands Hefin , Njoku Esther 
Published: August 2020

Purpose
This paper aims to develop a theoretical framework to understand the role of leadership and organizational learning in intra-organizational digital business strategizing, to contribute to our understanding of how digital business strategies emerge.

Design/methodology/approach
Based on a theoretical analysis of relevant literature to connect leadership and organizational learning to intra-organizational digital business strategizing, a co-creation model was developed.

Findings
The model demonstrates that digital business strategy emerge through the mediating role of leadership and organizational learning processes, facilitated by the moderating effect of contextual factors, which includes; strategic alignment, information technology competence, institutional trust and organizational change readiness.

Research limitations/implications
Two major limitations of this paper that warrant further research are as follows: the paper’s focus on intra-organizational digital business strategizing which excludes collaborative inter-organizational digital business strategizing among network organizations in Industry 4.0; and the need for empirical examination of the model to evaluate and validate it.

Practical implications
This paper offers a framework that will ensure that digital business strategizing maintains a fit between organizational strategy, structure, knowledge, culture, systems and processes that must align together to achieve the desired strategy.

Originality/value
To the best of the authors’ knowledge, this is the first study to explore the extendibility of leadership and organizational learning to digital business strategizing and to propose how digital business strategies emerge.
A request allocation model for processing data in federated cloud computing
Authors: Kansal Sahil , Kumar Harish , Kaushal Sakshi 
Published: August 2020

Purpose
As the storage and processing requirement of digital information is increasing on the cloud, it is very difficult for the single cloud provider (CP) to meet the resource requirement. Multiple providers form a federation for the execution of users’ requests. For the federated cloud, this paper aims to address the issue distribution of users’ request for resources and revenue among the providers by offering fair and stable distribution models for the federated cloud.

Design/methodology/approach
This paper uses cooperative game (CG)-theoretical models, i.e. Shapley–Shubik power index (SSPI) and Banzhaf power index (BPI) for distribution. Performance is analysed using variance and monotonicity using a case study.

Findings
Numerical analysis is done using two scenarios. Monotonicity is evaluated. Results show that SSPI performs better as compared to BPI in terms of fairness accuracy and the framework provide the fair distribution of revenue among providers in the federated cloud.

Research limitations/implications
The proposed framework works efficiently under the specific defined conditions.

Social implications
Paper provides the fair distribution. It assist the centralised cloud exchange in managing the users’ request in such a way every CPs, in the federated cloud will get an equal chance of serving the users’ request. The framework also provides the stable federation. Proposed work provides less rejection rate of users’ request. Finally, it assists the providers in increasing their profits in the federation.

Originality/value
This paper presents a CG theoretic-based framework for the distribution of resources required and revenue. The framework analysed the performance of distribution models by considering the variance and monotonicity for multiple users’ requests.
Exemplary followership. Part 1: refining an instrument
Authors: Peterson Tim O. , Peterson Claudette M. , Rook Brian W. 
Published: August 2020

Purpose
The overall purpose of this paper is to determine to what extent organizational citizenship behaviors predict followership behaviors within medical organizations in the USA. This is the first part of a two-part article. Part 1 will refine an existing followership instrument. Part 2 will explore the relationship between followership and organizational citizenship.

Design/methodology/approach
Part 1 of this survey-based empirical study used confirmatory factor analysis on an existing instrument followed by exploratory factor analysis on the revised instrument. Part 2 used regression analysis to explore to what extent organizational citizenship behaviors predict followership behaviors.

Findings
The findings of this two-part paper show that organizational citizenship has a significant impact on followership behaviors. Part 1 found that making changes to the followership instrument provides an improved instrument.

Research limitations/implications
Participants in this study work exclusively in the health-care industry; future research should expand to other large organizations that have many followers with few managerial leaders.

Practical implications
As organizational citizenship can be developed, if there is a relationship between organizational citizenship and followership, organizations can provide professional development opportunities for individual followers. Managers and other leaders can learn how to develop organizational citizenship behaviors and thus followership in several ways: onboarding, coaching, mentoring and career development.

Originality/value
In Part 1, the paper contributes an improved measurement for followership. Part 2 demonstrates the impact that organizational citizenship behavior can play in developing high performing followers.
Spatial disparity and inequality of education domain in Algeria: a spatial econometric approach
Authors: Touitou Mohammed , Yacine Laib , Ahmed Boudeghdegh 
Published: August 2020

PurposeDespite significant progress in schooling, social and spatial inequalities in access to education remain important in Algeria. In the present article, taking into account the geographic dimension makes it possible to identify the links existing between spatial location and disparities in the field of education in Algeria. Also, three types of education indicators (quantity, quality and inequality) are used in the study. The study’s sample includes 48 Algerian provinces, studied between 2008 and 2018.Design/methodology/approachIn this study, the authors used data from the 2008 and 2018 General Census of Population and Housing (GCPH) for 48 provinces. Indeed, the two censuses of 2008 and 2018 (sources of data for this study) were based on questionnaires intended for different categories of the population (households, non-household populations, transit population, etc.). Therefore, the no response rate is assumed to be close to 0. Using spatial econometric techniques.FindingsResults indicate that the indicator used is strong spatial disparity in education in Algeria. The development of a spatial synthetic index (SI) makes it possible to measure more precisely the extent and nature of spatial disparities in the field of education in Algeria. The results also confirm the hypothesis of β-convergence of the performance of the Algerian education system. Consequently, the need for policies to reduce the unfair inequalities between different areas is apparent.Originality/valueWorks that analyze education indicators in a classical perspective (educational performances between different sexes and between rural and urban areas) are abundant (Amaghouss and Ibourk, 2013a). However, very few studies proceed to the analysis of educational variables in a spatial perspective (Catin and Hazem, 2012). To the best of the authors’ knowledge, no work has tried to analyze spatial disparities in the field of education in Algeria.
Web-based methodology for extracting technology words in Chinese process patents
Authors: Yang Yuexin , Ren Gongchang 
Published: August 2020

PurposeThe purpose of constructing the technology/function matrix is to analyze the patents in the target domain. The extraction of technology words is an important part of the construction of technology/function matrix. This algorithm is used to solve the problem of low efficiency of traditional Chinese process patents technology words extraction.Design/methodology/approachThe authors propose a Chinese process patents technology words extraction method based on the improved term frequency–inverse document frequency (TF-IDF) algorithm to help technicians obtain the technology words in the target domain. According to the characteristics of Chinese process patents technology words, the TF value of candidate technology words is divided into four parts, and the corpus of IDF value calculation of candidate technology words is selected.FindingsThrough the test of Chinese process patents in the domain of path planning, this study shows that the method is feasible and practical. It can help users quickly and accurately obtain the technology words of Chinese process patents in the target domain.Practical implicationsWith the increasing number of patents on the network-based patent information platform, patent analysis of massive Chinese process patents has become a research focus. The method proposed in this paper can facilitate users to extract technology words from massive Chinese process patents for patent analysis.Originality/valueThis paper aims to improve the efficiency of Chinese process patents technology words extraction. The authors hope that the proposed method can reduce the labor and time cost of Chinese process patents technology words extraction.