bluuebunny/crossref_metadata_2025_split huggingface dataset:
Theory and practice of criminal law combating corruption in the Republic of Kazakhstan
Authors: Siubayeva Nursulu Zh. , Kalguzhinova Aigul M. , Ozbekov Darkhan O. , Serikbayeva Saule S. , Amirbek Kamshat S. 
Published: December 2021

Purpose
In accordance with the country’s programme documents, the fight against corruption, defined as the most important strategic priority of the national policy of the Republic of Kazakhstan, acquires consistent political and legal support. The purpose of this paper is to study the criminal law combating corruption in the Republic of Kazakhstan.

Design/methodology/approach
In this paper, the methods of historical analysis of the current legal provisions, analysis of the compositions of malfeasances and synthesis were used.

Findings
This study considered the main historical stages and aspects of the development of modern legislation of criminal liability for corruption offences. The authors of this study provided sound proposals for improving the current legislation of the Republic of Kazakhstan.

Originality/value
This paper argues the need to develop corruptology as an independent interdisciplinary scientific area, the subject of which would be corruption as a political, sociological, economic, legal and criminological phenomenon; features of corruption and combating it throughout the history of state–legal relations.
Innovation ambidexterity effects on product innovation performance: the mediating role of decentralization
Authors: Ceptureanu Sebastian Ion , Ceptureanu Eduard Gabriel 
Published: December 2021

PurposeThe purpose of the study was to analyse the impact of innovation ambidexterity represented by explorative and exploitative innovation capabilities and their combined effects on product innovation performance and to prove the mediating effect of decentralization.Design/methodology/approachThe study uses partial least squares for structural equation models and SmartPLS version 3.3.1 on a sample of 174 Romanian medium- and large-sized firms from the IT industry to test six research hypotheses. To measure innovation ambidexterity, the orthogonal approach was used, conceptualizing innovation ambidexterity as a multidimensional, second-order construct composed of explorative and exploitative innovation capabilities. Innovation ambidexterity was conceptualized as a multiplicative term of both explorative and exploitative innovation capabilities.FindingsThe empirical results prove that innovation ambidexterity is positively correlated with product innovation performance, while decentralization is mediating the impact of innovation ambidexterity on product innovation performance in the IT industry.Research limitations/implicationsThe data was based on self-reported assessments of senior executives. While innovation ambidexterity may influence product innovation performance in the long term, such long-term effects are not assessed. Other studies found a moderating effect between centralization or decentralization and ambidexterity, while we found that it has a mediating effect.Practical implicationsIn the context of innovation capability, the combination of explorative or exploitative capabilities may lead to a better synergy. Innovation ambidexterity influences product innovation performance through a synergistic effect, making the simultaneous combination of capabilities useful for firms willing to make efficient use of existing resources and make their capabilities mutually supportive. Moreover, for senior executives, the effects of decentralization as a mediator provide further incentive to include it in their development of firms' innovation capabilities.Originality/valueThis study extends findings of other studies by contributing to a deeper examination of the effects of decentralization, on innovation outcomes by focusing on a specific type of innovation, product innovation. Moreover, since innovation capability is often studied in small firms or in the manufacturing industry, this study contributes to the research on innovation capability and the consequences on innovation capability in the services sector and medium- and large-sized companies. By proving that decentralization mediates the effects of innovation ambidexterity on product innovation performance, it enables reconsideration of the organizational structure role in fostering innovation.
Exploring status of library management technical aspects in Indian schools
Authors: Sharma Navneet Kumar , Tripathi Aditya 
Published: December 2021

PurposeSchool library is regarded as the heart and soul of the school. It acts as learning resource centre and support the school curriculum in all possible manners. The main aim of this paper is to document the factors associated with library management in selected school libraries in Varanasi, India.Design/methodology/approachSurvey method is used to conduct this research in which close-ended questions were provided to the school librarians. Simple random sampling was used to collect samples from secondary schools of Varanasi.FindingsIt was found that 34% school libraries affiliated to Central Board of Secondary Education are managed properly and they are termed as first class library. Rest of the schools are not managed as per rules and regulations of school librarianship. Some librarians themselves are not properly aware of the significance of the library and hence the management is suffered accordingly.Practical implicationsThis research will help in exploring the existing status of library management in school libraries. The work is designed specifically for school libraries. Simple ranking system for school libraries will be helpful to make an exhaustive school ranking based on library management.Originality/valueThis research will bring on record the ground reality of school librarianship in India and the way they are managed. Simple ranking system for school library is given in this paper that will help to find out which school library is functioning properly or not.
Mobile CRM development for real estate agents
Authors: Antão João , Pereira Rúben , Ribeiro Ricardo 
Published: December 2021

PurposeReal estate agents are professionals who need up-to-date and accurate information about their clients in order to maintain profitable and long-lasting relationships with each of them. A satisfied customer can be very valuable and profitable in the long term. This research focuses on solving the problem of the lack of a mobile Customer Relationship Management (CRM) adapted to the needs of professionals. The importance of solving this problem is related to the importance of optimizing work and resources in a highly abundant information industry.Design/methodology/approachIt was developed of a CRM for mobile devices capable of managing information about the customers and business partners of each user, which provides a set of features well defined by the professionals. These features were collected through 15 face-to-face interviews and validated with six video conference interviews with industry specialists. For the development and evaluation of this artefact was followed the DSR methodology, corresponding each interview to an iteration of this model.FindingsFrom this research resulted a selection of functionalities considered essential to the real estate agent's work. These features were successfully implemented in a mobile application that real estate agents appreciate for its simplicity and that they feel adds real value to their daily lives. Using this service, the productivity and performance of real estate agents might be improved.Originality/valueIt was verified that the mobile CRM solution developed is a desired solution by real estate agents in terms of customer portfolio management, enhancing the evolution of their relationships and monitoring professional's performance.
Fatigue life assessment of polyamide 12 processed by selective laser sintering. Damage modelling according to fracture mechanics
Authors: Salazar Alicia , Cano Aragón Alberto Jesús , Rodríguez Jesús 
Published: December 2021

Purpose
Polyamide 12 (PA12) processed by the additive manufacturing technique of selective laser sintering (SLS) is acquiring a leading role in cutting-edge technological sectors pertaining to transport and biomedical among others. In many of these applications, design requirements must ensure fatigue structural integrity. One of the characteristic features of these SLS PA12 is the layer-wise structure that may influence the mechanical response. Therefore, this paper aims to assess the fatigue life behavior of PA12, focusing on the effect of the load direction with respect to the load orientation.

Design/methodology/approach
With the aim of analyzing the effect of the load direction with respect to the layer wise structure, fatigue tests on plain samples of SLS PA12 were carried out with the load applied parallel and perpendicular to the layer planes. The S-N stress life curves and the fatigue limit at 106 cycles were determined at room temperature and at a stress ratio of 0.1. The fracture surfaces were inspected to evaluate the damage evolution, modeled via the fracture mechanics methodology to obtain the fracture parameters.

Findings
The fatigue resistance was better when the load was applied parallel than when was applied perpendicularly to the layered structure. The analysis of the postmortem specimens evidenced three regions. The inspection of the fatigue macro crack growth region revealed that crazing was the mechanism responsible of nucleation and growth of damage till a macroscopic crack was generated, as well as of the consequent crack advancement. The calculated fracture parameters computed from the application of the fracture mechanics approach were similar to those obtained from standardized fracture tests, except when the stress levels were close to the yield strength.

Originality/value
The fatigue knowledge of polymers, and especially of polymers processed via additive manufacturing techniques, is still scarce. Therefore, the value of this investigation is not only to obtain fatigue data that could be used for structural design with SLS PA12 materials but also to advance in the knowledge of damage evolution during the fatigue process.
Data money makers: An ethnographic analysis of a global cryptocurrency community
Authors: Caliskan Koray 
Published: December 2021

AbstractProposed by an unknown young man using the pseudonym Electra01, Electra appeared in the cryptocurrency markets in 2018. Thanks to its innovative supply mechanism, the money's market capitalization briefly reached 136 billion USD, surpassing Bitcoin in value. Focusing on the empirical case of Electra, a project that was chosen as the “best cryptocurrency community” by the users of world's largest exchange, Binance, this paper ethnographically analyzes the sociological universe of a cryptocurrency community. The research consists of two years of fieldwork, interviews with the core team and the project's anonymous founder, a survey among its community members, and computational analyses of the interaction data of the project's Twitter community of 376,600 handles, as well as their Bitcointalk forum. The paper approaches the socio‐technical universe of a cryptocurrency community by examining the devices, networks, and representations that the community actors produce, use, and maintain in data‐money making and proposes a way to make visible and examine centers of power in a global community operating a seemingly “decentralized” blockchain.
The political economy of maximum residue limits: A long‐term health perspective
Authors: Karemera David , Xiong Bo , Smalls Gerald , Whitesides Louis 
Published: December 2021

AbstractMaximum residue limit (MRL) is the primary policy instrument to regulate the application of pesticides in agri‐food sectors. Partially due to the lack of scientific consensus on risk assessments, the prescriptions of MRLs vary substantially across markets and products. We provide the first empirical analysis of the political economy of MRLs at the market‐product‐chemical level, while accounting for long‐term toxicological effects of the regulated substances. Applying a Poisson model to the Health Scores derived from both the literal MRLs and their long‐run health impacts, we find that countries spending more on public health set more restrictive MRLs. We also find that countries possessing comparative advantages in fruits and vegetables adopt more lenient MRLs. Finally, products subject to lower tariffs are generally taxed with tougher MRLs.
Smarter people analytics with organizational text data: Demonstrations using classic and advanced NLP models
Authors: Guo Feng , Gallagher Christopher M. , Sun Tianjun , Tavoosi Saba , Min Hanyi 
Published: December 2021

AbstractRecent developments in text mining and natural language processing (NLP) have paved a new way for analysing text data. These techniques are particularly useful for human resource management (HRM) due to the large amount of text information in the field. This paper adds to the literature by introducing and demonstrating steps of using NLP. Two demonstrations are presented: Demonstration One illustrates how simple and straightforward Bag‐of‐Word models applied on textual comments can be used to predict numerical ratings of companies; Demonstration Two shows how personality (self‐reported scores on the Big Five) can be predicted from situational interview questions through more complex Doc2Vec algorithms. Together, these demonstrations show that both simple and complex techniques are effective tools in predicting organizational outcomes. Accessible syntax and guides for beginners are also provided.
Can a combination of vaccination and face mask wearing contain the COVID‐19 pandemic?
Authors: Brüssow Harald , Zuber Sophie 
Published: December 2021

SummaryThe COVID‐19 pandemic is going into its third year with Europe again being the focus of major epidemic activity. The present review tries to answer the question whether one can come to grip with the pandemic by a combination of vaccinations and non‐pharmaceutical interventions (NPIs). Several COVID‐19 vaccines are of remarkable efficacy and achieve high protection rates against symptomatic disease, especially severe disease, but mathematical models suggest that the current vaccination coverage in many countries is insufficient to achieve pandemic control. NPIs are needed as complementary measures because recent research has also revealed the limits of vaccination alone. Here, we review the evidence for efficacy of face mask wearing in various settings. Overall pooled analysis showed significant reduction in COVID‐19 incidence with mask wearing, although heterogeneity between studies was substantial. Controlled trials of mask wearing are difficult to conduct, separating mask wearing effects in population studies from the impact of other NPIs is challenging and the efficacy of masks depend on mask material and mask fit. The combination of vaccination and mask wearing is potentially synergistic since vaccination protects so far well from disease development (the omicron variant is currently an unknown) but immunity from infection wanes over few months after vaccination. In comparison, masks interfere with the virus transmission process at a level of a physical barrier independent of coronavirus variant. Vaccination and masks are much less costly to apply than other NPI measures which are associated with high economic and social costs, but paradoxically both measures are the target of a vocal opposition by a sizable minority of the society. In parallel with biomedical research, we need more social science research into this opposition to guide political decisions on how to end the pandemic.
Change in cholesterol level during pregnancy and risk of postpartum depressive symptoms: the Japan Environment and Children's Study (JECS)
Authors: Mutsuda Norikazu , Hamazaki Kei , Matsumura Kenta , Tsuchida Akiko , Kasamatsu Haruka , Inadera Hidekuni ,   Japan Environment and Children’s Study Group
Published: December 2021

AbstractObjectiveWomen with postpartum depressive symptoms (PDS) are at higher risk of postpartum depression (PPD) and require further assessment. Emerging evidence indicates a relationship between the total cholesterol (TC) level of blood and PPD but the results are inconsistent. In this study, we investigated the possible association of change in serum TC levels during pregnancy with the risk of PDS in a Japanese population.MethodsWe analyzed complete data on questionnaire responses and serum lipid profiles of pregnant women from 12 datasets obtained from the Japan Environment and Children's Study (n = 61,585 to n = 72,406; 103,063 pregnancies in total). TC was measured at 3 time points—during early pregnancy, during mid‐late pregnancy, and after delivery—and we calculated changes in TC in 3 ways: by subtracting early pregnancy from mid‐late pregnancy, subtracting mid‐late pregnancy from delivery, and subtracting early pregnancy from delivery. These 6 factors were used as predictors to estimate the risk of PDS at 1 and 6 months after delivery.ResultsIn multivariable logistic regression analysis, point serum cholesterol level did not predict PDS at any time point except for during mid‐late pregnancy in the second quintile, indicating an increased risk at 6 months. As for change in TC levels, subtracting mid‐late pregnancy from delivery and early pregnancy from delivery showed significant risk reduction for PDS at 1 month. A significant risk reduction was also found for subtracting early pregnancy from mid‐late pregnancy and early pregnancy from delivery at 6 months.ConclusionsIncreased cholesterol level during pregnancy is associated with reduced risk of PDS.
Archaeological magnetic survey to find salt production sites, using located Euler deconvolution: An application in Onchon County, Nampho, DPRK
Authors: Pang Hyon‐Ryong , Jon Jun‐Myong 
Published: December 2021

AbstractWe present the results of archaeological magnetic surveys in Onchon County, Nampho, DPRK. At Wonup Workers’ district in Onchon County, there are tens of heaps containing ash piles, which are seen as sites associated with salt production. The goal of the magnetic surveys was to investigate the relationships between the brine pan sites and the heaps containing ash piles within the study area. The archaeological and magnetic investigations in the study area has revealed that such areas, corresponding to the high magnetic intensity occurrence on the thick ash piles near the brine pits and ditches, could be chosen as the detailed survey areas to find salt production sites. Interpretation of the results demonstrated the reliability of located Euler deconvolution in the presence of complex magnetization effects due to various archaeological remains such as brine pan sites, kilns and potteries. The data processing and interpretation techniques presented in this article could assist in further opportunities to undertake nondestructive investigations of brine pan sites in Wonup area.
Moral foundations for creating shared value in Asia
Authors: Khurshid Hamid , Snell Robin Stanley 
Published: December 2021

AbstractThis paper analyzes moral foundations and organizational learning approaches in three small and medium‐sized enterprises (SMEs) and one multinational corporation (MNC), which have embraced business models or major projects that enact the strategy of creating shared value (CSV). In the four focal firms, all of which are based in Asia, we found that their adoption of CSV has been driven by moral principles and has entailed substantial organizational learning processes. Our case analyses illustrate a dynamic and mutually sustaining relationship within the four focal firms between organizational learning processes and shared value creation, supported by moral foundations. The four focal firms embraced CSV as a moral philosophy to improve their respective societal conditions, and we found no signs of greenwashing, branding, and organizational façades in their adoption of CSV practices.
Plasma microparticles of intubated COVID‐19 patients cause endothelial cell death, neutrophil adhesion and netosis, in a phosphatidylserine‐dependent manner
Authors: Garnier Yohann , Claude Livia , Hermand Patricia , Sachou Evely , Claes Aurélie , Desplan Kassandra , Chahim Bassel , Roger Pierre‐Marie , Martino Frédéric , Colin Yves , Le Van Kim Caroline , Baccini Véronique , Romana Marc 
Published: December 2021

SummaryCOVID‐19 has compelled scientists to better describe its pathophysiology to find new therapeutic approaches. While risk factors, such as older age, obesity, and diabetes mellitus, suggest a central role of endothelial cells (ECs), autopsies have revealed clots in the pulmonary microvasculature that are rich in neutrophils and DNA traps produced by these cells, called neutrophil extracellular traps (NETs.) Submicron extracellular vesicles, called microparticles (MPs), are described in several diseases as being involved in pro‐inflammatory pathways. Therefore, in this study, we analyzed three patient groups: one for which intubation was not necessary, an intubated group, and one group after extubation. In the most severe group, the intubated group, platelet‐derived MPs and endothelial cell (EC)‐derived MPs exhibited increased concentration and size, when compared to uninfected controls. MPs of intubated COVID‐19 patients triggered EC death and overexpression of two adhesion molecules: P‐selectin and vascular cell adhesion molecule‐1 (VCAM‐1). Strikingly, neutrophil adhesion and NET production were increased following incubation with these ECs. Importantly, we also found that preincubation of these COVID‐19 MPs with the phosphatidylserine capping endogenous protein, annexin A5, abolished cytotoxicity, P‐selectin and VCAM‐1 induction, all like increases in neutrophil adhesion and NET release. Taken together, our results reveal that MPs play a key role in COVID‐19 pathophysiology and point to a potential therapeutic: annexin A5.
Cost uncertainty in an oligopoly with endogenous entry
Authors: de Pinto Marco , Goerke Laszlo 
Published: December 2021

AbstractHow does cost uncertainty affect the welfare consequences of an oligopoly? To answer this question, we investigate a Cournot oligopoly in which firms produce a homogeneous commodity and market entry is feasible. Marginal costs are unknown ex ante, that is, prior to entering the market. They become public knowledge before output choices are made. We show that uncertainty induces additional entry in market equilibrium and also raises the socially optimal number of firms. Since the first change dominates, the excessive entry distortion is aggravated. This prediction is robust to various extensions of the analytical setup. Furthermore, the welfare loss due to oligopoly tends to increase with uncertainty.