bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global chemical modifications comparison of human plasma proteomes from two different age groups
Authors: Liu Yongtao , Zhao Mindi , Pan Xuanzhen , Gao Youhe 
Published: March 2020

AbstractThe chemical modification of proteins refers to the covalent group reaction involved in their amino acid residues or chain ends which, in turn, change the molecular structure and function of the proteins. There are many types of molecular modifications in the human plasma proteome, such as phosphorylation, methylation, and acetylation. In this study, two groups of human plasma proteome at different age groups (old and young) were used to perform a comparison of global chemical modifications, as determined by tandem mass spectrometry (MS/MS) combined with non-limiting modification identification algorithms. The sulfhydryl in the cysteine A total of 4 molecular modifications were found to have significant differences: the succinylation and phosphorylation modification of cysteine (Cys, C) and the modification of lysine (Lys, K) with threonine (Thr, T) were significantly higher in the old group than in the young group, while the carbamylation of lysine was lower in the young group. Cysteine residue is an important group for forming disulphide bonds and maintaining the structure of the protein. Differential cysteine-related sulfydryl modifications may cause structural and functional changes. Lysine is a basic amino acid, and the modification of its amino group will change the charge state of the protein, which may affect the structure and function of the protein. In summary, four types of protein chemical modifications and substitutes were found to be significantly different in the plasma proteome in different age groups and their probabilities of random generation are lower by passing random grouping test. We speculate that there is an increase in certain modified proteins in the blood of the old people which, in turn, changes the function of those proteins. This change may be one of the reasons why the old people are more likely than the young people to be at risk for age-related diseases, such as metabolic diseases, cerebral and cardiovascular diseases, and cancer.
Light-responsive monobodies for dynamic control of customizable protein binding
Authors: Carrasco-López César , Zhao Evan M. , Gil Agnieszka A. , Alam Nathan , Toettcher Jared E. , Avalos José L. 
Published: March 2020

ABSTRACTCustomizable, high affinity protein-protein interactions, such as those mediated by antibodies and antibody-like molecules, are invaluable to basic and applied research and have become pillars for modern therapeutics. The ability to reversibly control the binding activity of these proteins to their targets on demand would significantly expand their applications in biotechnology, medicine, and research. Here we present, as proof-of-principle, a light-controlled monobody (OptoMB) that worksin vitroandin vivo, whose affinity for its SH2-domain target exhibits a 300-fold shift in binding affinity upon illumination. We demonstrate that our αSH2-OptoMB can be used to purify SH2-tagged proteins directly from crudeE. coliextract, achieving 99.8% purity and over 40% yield in a single purification step. This OptoMB belongs to a new class of light-sensitive protein binders we call OptoBinders (OptoBNDRs) which, by virtue of their ability to be designed to bind any protein of interest, have the potential to find new powerful applications as light-switchable binders of untagged proteins with high affinity and selectivity, and with the temporal and spatial precision afforded by light.
Distant homologies and domain conservation of the Hereditary Spastic Paraplegia protein SPG11/ALS5/spatacsin
Authors: Patto Alexander L , O’Kane Cahir J 
Published: March 2020

AbstractLoss-of-function mutations in SPG11 protein (spatacsin) are a common cause of autosomal recessive hereditary spastic paraplegia with thin corpus callosum. To identify regions of the protein that may have functions that are disrupted in disease, we carried out bioinformatic analyses of its conserved regions. An N-terminal region of around 650 amino-acid residues, present in SPG11 across a wide range of metazoan animals, was missing from many insect lineages. Evolutionary loss of this domain correlated with loss of its binding partner, the AP-5 adaptor complex, suggesting that its main function is interaction with AP-5 in intracellular trafficking, and that the remainder of SPG11 carries out AP-5-independent functions. At the C-terminus of SPG11, a spatacsin_C domain showed sequence similarity and predicted structural homology to the Vps16_C domain of the HOPS complex protein Vps16. It localized to acidic compartments, consistent with a role in endolysosomal or autolysosomal transport, like Vps16. Mass spectrometry analysis of binding partners of this domain identified membrane trafficking proteins, some SM proteins, and several aminoacyl-tRNA synthetases. Since mutations affecting SPG11 or aminoacyl-tRNA synthetases can both cause Charcot-Marie-Tooth neuropathy (CMT) type 2, we suggest autolysosomal trafficking as a target process in CMT type 2.
Universal nature of drug treatment responses in drug-tissue-wide model-animal experiments using tensor decomposition-based unsupervised feature extraction
Authors: Taguchi Y-h. , Turki Turki 
Published: March 2020

ABSTRACTGene expression profiles of tissues treated with drugs have recently been used to infer clinical outcomes. Although this method is often successful from the application point of view, gene expression altered by drugs is rarely analyzed in detail, because of the extremely large number of genes involved. Here, we applied tensor decomposition (TD)-based unsupervised feature extraction (FE) to the gene expression profiles of 24 mouse tissues treated with 15 drugs. TD-based unsupervised FE enabled identification of the common effects of 15 drugs including an interesting universal feature: these drugs affect genes in a gene-group-wide manner and were dependent on three tissue types (neuronal, muscular, and gastroenterological). For each tissue group, TD-based unsupervised FE enabled identification of a few tens to a few hundreds of genes affected by the drug treatment. These genes are distinctly expressed between drug treatments and controls as well as between tissues in individual tissue groups and other tissues. We also validated the assignment of genes to individual tissue groups using multiple enrichment analyses. We conclude that TD-based unsupervised FE is a promising method for integrated analysis of gene expression profiles from multiple tissues treated with multiple drugs in a completely unsupervised manner.
Arctic humanitarianism for post-disaster settlement and shelter
Authors: Kelman Ilan 
Published: March 2020

PurposeThis paper explores Arctic post-disaster situations by focusing on settlement and shelter in Arctic humanitarian contexts.Design/methodology/approachPrinciples of post-disaster settlement and shelter are examined for the Arctic and then for the case study of Svalbard, Norway.FindingsEstablished principles apply in the Arctic, but are not easy to implement. Limited practical experience exists, and some Arctic humanitarian situations require much more investigation to understand how to deal with the post-disaster settlement and shelter process.Originality/valueSetting an agenda for aspects of the principles and practices of Arctic humanitarianism.
Interfirm networks and search-transfer problem: the role of geographic proximity
Authors: Wu Dong , Wu Xiaobo , Zhou Haojun , Kang Mingu 
Published: March 2020

PurposeThis paper represents an empirical study of how geographic proximity influences the search advantage and the transfer problem of interfirm networks.Design/methodology/approachBy using the data collected from 226 Chinese manufacturing firms, this study examines the proposed hypotheses.FindingsThe authors’ findings suggest that (1) geographic proximity is an important antecedent for promoting knowledge transfer, whereas it lowers the degree of knowledge novelty; and (2) geographic proximity also moderates the effects of interfirm networks on knowledge novelty and knowledge transfer.Originality/valueThis study contributes the literature of interfirm network and provides practical implications by addressing the ways in which manufacturing firms can promote knowledge transfer and acquire novel knowledge.
The values of public libraries: a systematic review of empirical studies of stakeholder perceptions
Authors: Sørensen Kristian Møhler 
Published: March 2020

PurposePublic libraries' relevance and raison d'être towards society is an often discussed subject within public, politics and research. The objective of this systematic literature review is to provide a synthesis of empirical studies of stakeholders' perceived values of public libraries.Design/methodology/approachThe review is based on a structured literature search that was conducted in seven databases. Two independent participants carried out a two-step screening of the identified studies. Firstly, the studies were screened on basis of title and abstract. Secondly, studies that were included in the title–abstract screening were full-text screened. Conflicting studies were discussed, and consensus between the reviewers was reached. Citation searches of each included study were conducted along with scrutinising cited literature. The included studies were subject to a risk of bias assessment on basis of a developed risk of the bias tool, and qualitative analysis was provided.FindingsOf all, 4,086 studies were screened and 19 were retained for the review. The studies consisted of both quantitative and qualitative investigations of different stakeholders in a variety of countries. The reported values varied across the studies and stakeholders.Originality/valueThis is the first study that systematically reviews empirical literature that explores stakeholders' perceived values of public libraries. The paper suggests further recommendations for empirical research of values connected to public libraries.
Relationships between the middle school concept and student demographics
Authors: Woods Scott Christopher , Cromley Jennifer Grace , Hackmann Donald Gene 
Published: March 2020

PurposeThis study explored implementation of the middle school concept (MSC) in Illinois middle-level schools, examining relationships between MSC implementation and schools' relative wealth, racial/ethnic composition, and achievement levels.Design/methodology/approachThis quantitative study utilized a sample of 137 Illinois middle-level schools, defined as containing any combination of grades 5–9, including at least two consecutive grade levels and grade 7. Principals completed an online survey, identifying levels of implementation of advisory, teaming with common planning time (CPT), and a composite of both advisory and teaming with CPT.FindingsSchools with high advisory implementation had significantly higher rates of Latinx enrollments. Schools with lower operating expenditures per pupil were significantly less likely to implement advisory or advisory and teaming. Teaming had a significant relationship with composite PARCC test scores, but there was no significant effect for advisory and no significant interaction of advisory and teaming together.Practical implicationsMSC is more expensive to implement, and affluent districts may have the financial means to absorb these costs. Although teaming facilitated improved state test scores, advisory programming did not result in significantly improved scores.Social implicationsLack of access to MSC programming in less affluent communities presents an equity issue for low-income students and students of color.Originality/valueThis study contributes to research examining underlying issues of race and poverty and their effects on academic achievement and the effectiveness of the MSC.
Analyzing industry stakeholders using open-source competitive intelligence – a case study in the automotive supply industry
Authors: Lutz Corinna Juliane , Bodendorf Freimut 
Published: March 2020

PurposeContinually evolving market structures characterized by high competition and simultaneous coopetition raise the need for the awareness of strategic actions of industry stakeholders and therefore the field of competitive intelligence (CI). Hence, this paper aims to provide a case-based method to enrich and automate the entire CI cycle using open-source data to analyze the industry environment.Design/methodology/approachThe research method is based on design science research and accompanied by a three-year continuous in-depth case study in the automotive supply industry using unstructured, qualitative data to examine the activities of 25 industry stakeholders.FindingsThis paper provides a new holistic method for gaining valuable insights for decision-makers presented through a multiple-layer perspective of the industry development including structural transformation and strategic alignments in functional and cross-sectional areas of the stakeholders.Research limitations/implicationsThe development of a holistic approach using open-source data combines the knowledge-based view and industry economics and allows easy transferability to any other industry.Practical implicationsThe proposed method shows an increase in knowledge for managers to support daily work as well as strategic decision-making. Furthermore, it is proven that even unexperienced CI analysts are empowered to deliver high-quality results.Originality/valueThe paper contributes to the literature and practice of CI by using an approach, which uses unstructured, qualitative data to enrich the entire CI cycle in a business-to-business environment. The case description confirms performance and time improvements of the method and shows the potential of the created insights.
Accounting for corruption within Islamic countries
Authors: Hudaib Mohammad 
Published: March 2020

Purpose
Despite the growing literature on corruption, little is known about what is happening in most Islamic countries. Hence, the purpose of this paper is to argue that focussing on the adopted politico-economical ideology such as neoliberalism contributes in understanding the root of corruption.

Design/methodology/approach
Critical realism of the state of corruption in Muslim countries and secondary sources available in the literature review help account for corruption within the local settings.

Findings
Corruption takes on various forms and functions in different contexts, and it can occur at the international and national arenas and at various layers of the state. The paper argues that the adopted neoliberal politico-economical strategy in Muslim countries is the main source of corruption.

Research limitations/implications
Corruption ranges from an act of payment that contradicts the law to an endemic malfunction of a political and economic system that may be attributed to individual moral or political or a combination of both. Hence, given the differences among Islamic countries, economic and political milieu case studies help explore the kind of corrupted leaderships in the particular country and how corruption is combated.

Originality/value
Corruption is a complex and multifaceted phenomenon. Accounting for corruption using neo-political lens is relatively new to the literature. Hence, this paper calls on accounting for evidence on how aspired autocratic leaderships in Muslim countries managed to personalise power and weaken the infrastructural apparatus that provide the necessary check and balance, thus facilitating the production of corruption on both the demand and supply sides.
The study of customer involved service innovation under the crowdsourcing
Authors: Cui Lixin , Liang Yibao , Li Yiling 
Published: March 2020

PurposeService innovation is a key source of competence for service enterprises. Along with the emergence of crowdsourcing platforms, consumers are frequently involved in the process of service innovation. In this paper, the authors describe the crowdsourcing ideation website—MyStarbucksIdea.com—and find the motivations of customer-involved service innovation.Design/methodology/approachUsing a rich data set obtained from the website MyStarbucksIdea.com, a dynamic structural model is proposed to illuminate the learning process of consumers.FindingsThe results indicate that initially individuals tend to underestimate the costs of the firm for implementing their ideas but overestimate the value of their ideas. By observing peer votes and feedbacks, individuals gradually learn about the true value of ideas, as well as the cost structure of the firm. Overall, the authors find that the cumulative feedback rate and the average potential of ideas will first increase and then decline.Originality/valueFirst, the previous researches concerning the crowdsourcing show that the creative implementation rate is low and the number of creative ideas decreases, and few scholars have studied the causes behind the problems. Second, the data used in this paper are true and valid, and it is difficult to obtain now. These data can provide strong empirical support for the model proposed in this paper. Third, it is relatively novel to combine the customer learning mechanism and heterogeneity theory to explain the phenomenon of reduced creativity and low implementation rate in crowdsourcing platform, and the research results can provide a reasonable reference for the construction of this industry.
Transformational leadership and employee creativity across cultures
Authors: Kasımoğlu Murat , Ammari Djihane 
Published: March 2020

PurposeThe study compares the impact of four components of transformational leadership (TL), namely, idealized influence (II), inspirational motivation, intellectual stimulation (IS), and individualized consideration (IC) on employee creativity (EC) at the workplace between Turkey and Algeria, taking into account the mediating effect of employee's creative role identity (CRI).Design/methodology/approachData were collected from 688 managers working for conglomerate companies in both countries and the analysis was performed using a two-stage structural equation modeling (SEM) for model and hypothesis testing.FindingsThe findings highlighted that managers from both countries have divergent stances toward TL’s impact on EC; Algerian managers recognized the impact relationship between CRI and EC. Meanwhile, Turkish managers believed in the efficiency of every component independently.Research limitations/implicationsWhen generalizing the research results, a debate might arise in regards to both the data collection instrument and the data being collected from two companies only. Therefore, upcoming research might opt for using further data collection methods and expand the data collection sources to cover larger targets.Practical implicationsThe study's findings help in assisting managers and decision-makers in both countries into strategically adjusting their managerial approaches accordingly and appropriately stimulating EC at the workplace.Social implicationsThe findings provided insights into elevating and strengthening a mere formal leader–member relationship to a personally satisfying and mutually beneficial social bond.Originality/valueThroughout literature, the light was shed on the fundamental, yet, infrequently discussed link between TL components and employee CRI. The comparative nature and findings of our study could be considered building blocks for further academic research about leadership in both countries.
Entrepreneurial failure in agribusiness: evidence from an emerging economy
Authors: Adobor Henry 
Published: March 2020

PurposeThis article extends the literature on agricultural entrepreneurship and entrepreneurial failure in Ghana, a country in sub-Saharan Africa by exploring failure in a cohort of firms. As engines of economic growth, the performance of micro, small, and medium-sized firms is important. Agro-based enterprises, in particular, are vital because entrepreneurial failure in agribusiness affects food security, and is disruptive to social and economic stability.Design/methodology/approachUsing qualitative data from interviews, we identified reasons for the failure of a group of entrepreneurs associated with a novel agribusiness activity in an otherwise economically attractive market in an emerging economy. The data for the study came from 69 respondents who started and exited aquaculture, a form of agribusiness within a period.FindingsThe results of this study show that there can be negative effects of social structure on entrepreneurial behavior and outcomes. The strong social ties that emerged among the farmer-entrepreneurs led to excessive peer-to-peer copying and knowledge sharing, leading to premature closure of the search for nonredundant ideas. One consequence of that was the narrowing of the pool of available knowledge, which if broadened, may have improved the chances of success of these businesses. Also, the results demonstrate that a lack of institutional support in the form of training in the appropriate management of a new technology adversely affected the farmer-entrepreneurs and their businesses. It is important for governments that introduce a new economic activity to provide the scaffolding, including an understanding of the value chain, to enhance the chances of the economic success of ventures. Entrepreneurs for their part need to broaden their search for new ideas outside their peer groups to increase their chances of accessing non-redundant knowledge.Research limitations/implicationsThe sample size is small, limiting the generalization of findings and the recollection of events may fade with the passage of time, especially since most of the farmers did not keep written records.Practical implicationsFirst, entrepreneurship and economic development, long held as a panacea for moving developing countries out of poverty, may require consistent government support. Second, entrepreneurs venturing into business need to understand the particular challenges associated with a novel activity. Finally, entrepreneurs need to recognize that interconnectedness should not necessarily lead to the convergence of ideas and behavior.Originality/valueThe study extends and contextualizes the literature on agricultural entrepreneurship and entrepreneurial failure. Besides, the study focuses on entrepreneurial failure in Sub-Saharan Africa, an under-researched setting.
Operational risk modeling for cold chain logistics system: a Bayesian network approach
Authors: Zheng Chaoyu , Peng Benhong , Wei Guo 
Published: March 2020

Purpose
The operational management of cold chain logistics has an important impact on the quality of cold chain products, but the service delivery process is subject to a series of potential problems such as product loss and cold storage temperature in the actual operation.

Design/methodology/approach
In this paper, the whole cold chain logistics system and risk events are analyzed. A Bayesian network is used for modeling and simulation to identify the main influencing factors and to conduct a sensitivity analysis of the main factors.

Findings
It is found that the operation of cold chain logistics systems can be divided into four links according to the degree of influence as follows: transportation and distribution, processing and packaging, information processing and warehousing. Transportation and distribution is the most influential factor of system failure, and extreme weather is the most risky event. At the same time, the four risk events that have the greatest impact on the operation of the cold chain system are in descending order: transportation equipment failure, extreme weather, unqualified pre-cooling and violation operation.

Originality/value
Therefore, enterprises should develop appropriate interventions for securing the transportation services, design strategies to deal with extreme weather conditions prior to and in the early stage of product delivery, and prepare additional effective measures for managing emergency events.