bluuebunny/crossref_metadata_2025_split huggingface dataset:
Software integration model: An assessment tool for global software development vendors
Authors: Ilyas Muhammad , Khan Siffat Ullah , Khan Habib Ullah , Rashid Nasir 
Published: February 2023

AbstractThe trend toward global software development (GSD) has grown tremendously in recent years because of the rapid acceleration in information and communication technologies (ICTs). The reason for the changing trend toward GSD is to develop high‐quality software with minimum cost and time with round the clock. Despite the benefits gained from GSD, there are certain challenges associated with it. Literature reveals that software integration is an integral challenge in the GSD domain and vendors face numerous difficulties in integrating the software components to build the final product. The main aim of this research study is to develop a software integration model (SIM) that will assist GSD vendors to address the factors linked with various stages of software integration. This model is basically designed for GSD vendor organizations to assess and improve their software integration‐related activities. However, it is also beneficial for GSD client organizations in getting knowledge about the status of the GSD vendor organization's software integration capabilities. The research design is composed of well‐known research strategies including systematic literature review (SLR), questionnaire survey, and case study approach. This research study yielded the SIM. We identified nine critical success factors (CSFs) and 10 critical barriers (CBs) in software integration through SLR‐1 by extracting the data from a sample of 105 papers. Similarly, we also identified a total of 132 practices/solutions, for the identified CSFs and CBs in software integration, through SLR‐2 from a sample of 40 papers. These identified factors and practices were validated from 96 global software industry experts/practitioners through online survey. The identified CSFs, CBs, and their associated practices have been arranged adequately across the six software integration levels of SIM. We have adapted SIM structure from capability maturity model integration (CMMI), implementation maturity model (IMM), and software outsourcing vendors readiness model (SOVRM). We also conducted six case studies in the software industry for SIM applicability and validity. The participants' feedback from the six case studies in GSD vendor's organizations portray that the SIM is beneficial for GSD vendors to assess their software integration capability.
Post‐Synthetic Surface Modification of Metal–Organic Frameworks and Their Potential Applications
Authors: Figueroa‐Quintero Leidy , Villalgordo‐Hernández David , Delgado‐Marín José J. , Narciso Javier , Velisoju Vijay Kumar , Castaño Pedro , Gascón Jorge , Ramos‐Fernández Enrique V. 
Published: February 2023

AbstractMetal–organic frameworks (MOFs) are porous hybrid materials with countless potential applications. Most of these rely on their porous structure, tunable composition, and the possibility of incorporating and expanding their functions. Although functionalization of the inner surface of MOF crystals has received considerable attention in recent years, methods to functionalize selectively the outer crystal surface of MOFs are developed to a lesser extent, despite their importance. This article summarizes different types of post‐synthetic modifications and possible applications of modified materials such as: catalysis, adsorption, drug delivery, mixed matrix membranes, and stabilization of porous liquids.
Design and Experiment of a Three Phase Two Switches Voltage Clamping Buck PFC
Authors: Zhao Yinfeng , Yu Fei , Song Qingguo , Zhu Zhongni 
Published: February 2023

A new three‐phase two‐switch voltage clamping buck Power Factor Correction (PFC) is presents in this paper. The principle and equations of operations are described in detail. Based on the volt‐second balance principle of input inductance in the new converter, this paper gives the design method of the circuit's key components, with voltage and current stresses analyzed. On the basis of the theory above, a prototype with parameters of a 5 kW is designed. Problems of extremely high switch peak voltage stress in the conventional one are solved. The manufacturing cost of high power three phase rectifier has been significantly decreased. A 5 kW experimental prototype with unity power factor, 4.4% input line current THD, 200 Vdc output, and system efficiency of 96% at full load under 380 Vrms input line‐to‐line voltage has been successfully implemented. © 2023 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.
Financial inclusion, economic freedom and financial stability in sub‐Saharan Africa
Authors: Frimpong Siaw , Yusuf Mawusi Ayisat , Boateng Ebenezer , Ankomah Kwadwo , Abeka Mac Junior 
Published: February 2023

AbstractExecutive SummaryThe study examines the role of economic freedom in the relationship between financial inclusion and stability in sub‐Saharan African economies. By employing the System General Method of Moment and data from 39 sub‐Saharan African countries between 2004 and 2017, the study examines whether economic freedom (i.e., financial and business freedom) conditions the effect of financial inclusion on stability. Results from the study show evidence of a positive impact of financial inclusion on financial stability in sub‐Saharan African economies. Again, the results depict that financial inclusion could better enhance financial stability in economies with a high level of economic freedom (i.e., financial and business freedom). The results suggest that policymakers should allow financial institutions to operate with the level of freedom required to provide services at the lowest possible price. Further, it is recommended that policymakers should ensure that administrative requirements are minimal, bureaucracy costs are lesser, and licensing regulations for startups and expansion of existing firms are friendly. With this, associated increases in business and financial freedom would have promising implications for the relationship between financial inclusion and stability.Managerial Implications of the StudyThis research is very vital for firms in both the financial and nonfinancial. Specifically, managers of firms in the financial sector can embrace the level of financial freedom that would be allowed by the government, to come up with new and inclusive financial products, while putting in measures not to endanger the stability of the financial sector. Managers in the business sector could also take advantage of the business freedom that would be allowed by the government to diversify business operations, increase profitability and avoid causing nonperforming loan problems to banks.Originality/ValueThe study provides the first insight into how economic institutions condition the effect of financial inclusion on financial stability, which has not been previously studied.
A stratified MHD flow of Eyring‐Powell fluid containing gyrotactic microorganisms through a stretching sheet with mixed convection
Authors: Al‐Bossly Afrah , Alduais Fuad S. , Lone Showkat Ahmad , Almusawa Musawa Yahya , Saeed Anwar 
Published: February 2023

AbstractThe aim of this effort is to examine the steady, laminar, and incompressible flow of Eyring‐Powell fluid containing gyrotactic microorganisms through a stratified stretching surface. For stabilizing the distributed nanoparticles through bioconvection, which is tempted by magnetic field and buoyancy forces, the microorganisms’ theory is utilized. The nonlinear system of equations is treated with a semi‐analytical approach. Convergence of series solutions of the nonlinear system is displayed. The variations in momentum, concentration, thermal and motility distributions are exhibited graphically. Sherwood number, skin friction, motile density number, and Nusselt number are exhibited numerically in tabular forms. It has been found that the augmenting the thermal stratification, mass stratification, and motile density stratification factors have retarded the thermal, mass, and motile density of the microbes. Heightening Brownian motion, Schmidt number, and mass stratification parameter boost the Sherwood number, while reduces with thermophoresis constraint. The rise in concentration difference factor and Peclet number intensify the motile density number, while the accelerating values of stratification parameter of motile density and bioconvective Lewis number decline the motile density number.
Dyslipidemia is associated with inflammation and organ involvement in systemic lupus erythematosus
Authors: Huang Saisai , Zhang Zhuoya , Cui Yiyuan , Yao Genhong , Ma Xiaolei , Zhang Huayong 
Published: February 2023

Abstract

Introduction
Disturbed lipid metabolism was observed in systemic lupus erythematosus (SLE) patients. This study aimed to evaluate the relationships between dyslipidemia and visceral organ involvement, disease severity, inflammatory factors, and drug intake in SLE patients.

Method
Inpatients with SLE (n = 105) and healthy controls (HC) (n = 75) were recruited in this study. Clinical and laboratory data were collected from patient records. The concentrations of tumor necrosis factor receptors superfamily member1A (TNFRSF1A), member1B (TNFRSF1B) and adipokine angiopoietin-like 4 (ANGPTL4) in plasma were measured by ELISA.

Result
Compared to HC, serum levels of triglyceride (TG), total cholesterol (TC), low-density lipoprotein (LDL), and apolipoprotein B (ApoB) were significantly increased, while high-density lipoprotein (HDL) and apolipoprotein A1 (ApoA1) were decreased in SLE patients. Patients with higher disease activity and renal damage suffered from more severe dyslipidemia. Renal functional parameters were closely correlated with serum lipid levels. Inflammatory factors were associated with dyslipidemia. The levels of TNFRSF1A and TNFRSF1B were obviously increased and associated with kidney involvement in SLE patients. Patients with high-dose glucocorticoid intake showed more severe dyslipidemia.

Conclusions
Attention should be paid to the dyslipidemia of SLE. Dyslipidemia is associated with inflammation and organ involvement in SLE. These findings might provide a new strategy for the treatment of SLE.

Key Points• Serum levels of TG, TC, LDL, and ApoB were significantly increased, while HDL and ApoA1 were decreased in SLE patients.• Patients with higher disease activity and renal damage suffered from more severe dyslipidemia. Renal functional parameters and inflammatory factors were closely correlated with serum lipid levels.• Patients with high-dose glucocorticoid intake showed more severe dyslipidemia.• These findings might provide a new strategy for the treatment of SLE.
A split Levenberg-Marquardt method for large-scale sparse problems
Authors: Krejić Nataša , Malaspina Greta , Swaenen Lense 
Published: February 2023

AbstractWe consider large-scale nonlinear least squares problems with sparse residuals, each of them depending on a small number of variables. A decoupling procedure which results in a splitting of the original problems into a sequence of independent problems of smaller sizes is proposed and analysed. The smaller size problems are modified in a way that offsets the error made by disregarding dependencies that allow us to split the original problem. The resulting method is a modification of the Levenberg-Marquardt method with smaller computational costs. Global convergence is proved as well as local linear convergence under suitable assumptions on sparsity. The method is tested on the network localization simulated problems with up to one million variables and its efficiency is demonstrated.
ClaSP: parameter-free time series segmentation
Authors: Ermshaus Arik , Schäfer Patrick , Leser Ulf 
Published: February 2023

AbstractThe study of natural and human-made processes often results in long sequences of temporally-ordered values, aka time series (TS). Such processes often consist of multiple states, e.g. operating modes of a machine, such that state changes in the observed processes result in changes in the distribution of shape of the measured values. Time series segmentation (TSS) tries to find such changes in TS post-hoc to deduce changes in the data-generating process. TSS is typically approached as an unsupervised learning problem aiming at the identification of segments distinguishable by some statistical property. Current algorithms for TSS require domain-dependent hyper-parameters to be set by the user, make assumptions about the TS value distribution or the types of detectable changes which limits their applicability. Common hyper-parameters are the measure of segment homogeneity and the number of change points, which are particularly hard to tune for each data set. We present ClaSP, a novel, highly accurate, hyper-parameter-free and domain-agnostic method for TSS. ClaSP hierarchically splits a TS into two parts. A change point is determined by training a binary TS classifier for each possible split point and selecting the one split that is best at identifying subsequences to be from either of the partitions. ClaSP learns its main two model-parameters from the data using two novel bespoke algorithms. In our experimental evaluation using a benchmark of 107 data sets, we show that ClaSP outperforms the state of the art in terms of accuracy and is fast and scalable. Furthermore, we highlight properties of ClaSP using several real-world case studies.
Challenging Parenting Behaviour and Anxiety Disorders in Emerging Adulthood
Authors: Chan Evie Wai Ting , Wong Kelly Tsz Ching , Clark Laura H. 
Published: February 2023

AbstractChallenging parenting behaviour (CPB) refers to parental encouragement of behaviours where children push their own limits through engaging them engage in safe risks, such as rough-and-tumble play (Bögels & Phares, 2008). Preliminary evidence suggests that CPB reduces the risk of child anxiety however, little is known about the relationship between CPB and specific forms of anxiety disorders and the factors that influence this relationship. The present study aims to examine current maternal and paternal CPB in relation to symptoms of generalised anxiety disorder (GAD) and social anxiety disorder (SAD) in emerging adulthood, and to identify whether intolerance of uncertainty (IU) and cognitive avoidance (CA) sequentially mediate this relationship. A sample of 190 UK-based adults (aged 18–25) completed a battery of online self-report measures. Greater maternal CPB, but not paternal CPB, was found to predict lower symptoms of SAD, but not GAD. IU and CA did not sequentially mediate the relationship between CPB and symptoms of GAD or SAD. This study suggests that CPB may be associated with certain forms of anxiety disorders such as SAD, but further investigation is needed to understand the mechanisms between CPB and anxiety in young people.
PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer
Authors: Yu Zitong , Shen Yuming , Shi Jingang , Zhao Hengshuang , Cui Yawen , Zhang Jiehua , Torr Philip , Zhao Guoying 
Published: February 2023

AbstractRemote photoplethysmography (rPPG), which aims at measuring heart activities and physiological signals from facial video without any contact, has great potential in many applications (e.g., remote healthcare and affective computing). Recent deep learning approaches focus on mining subtle rPPG clues using convolutional neural networks with limited spatio-temporal receptive fields, which neglect the long-range spatio-temporal perception and interaction for rPPG modeling. In this paper, we propose two end-to-end video transformer based architectures, namely PhysFormer and PhysFormer++, to adaptively aggregate both local and global spatio-temporal features for rPPG representation enhancement. As key modules in PhysFormer, the temporal difference transformers first enhance the quasi-periodic rPPG features with temporal difference guided global attention, and then refine the local spatio-temporal representation against interference. To better exploit the temporal contextual and periodic rPPG clues, we also extend the PhysFormer to the two-pathway SlowFast based PhysFormer++ with temporal difference periodic and cross-attention transformers. Furthermore, we propose the label distribution learning and a curriculum learning inspired dynamic constraint in frequency domain, which provide elaborate supervisions for PhysFormer and PhysFormer++ and alleviate overfitting. Comprehensive experiments are performed on four benchmark datasets to show our superior performance on both intra- and cross-dataset testings. Unlike most transformer networks needed pretraining from large-scale datasets, the proposed PhysFormer family can be easily trained from scratch on rPPG datasets, which makes it promising as a novel transformer baseline for the rPPG community.
Legal Positivism for Legal Officials
Authors: Jiménez Felipe 
Published: February 2023

AbstractThis paper makes a conceptual prescription: it argues that judges and lawyers should adopt a positivist concept of law, on normative grounds. The positivist view, I will argue, is more consistent with reasonable disagreement and majority rule than nonpositivist views, offers a better view of law’s moral standing, and is more consistent with what Dworkin called ‘integrity’ than non-positivism. As the paper explains, this is an argument about what I call the ‘operative’ concept of law. As such, the argument avoids potential problems for conceptual prescription, and shows why even those who adopt non-positivist views about the nature of law might accept it.
Public Health Preparedness in the Era of Weather Modification and Climate Engineering
Authors: Tsagkaris Christos , Papazoglou Andreas S. , Moysidis Dimitrios V. , Loudovikou Anna 
Published: February 2023

Abstract
The use of technological and chemical means aiming to achieve favorable weather conditions or reduce the risk of weather extremes is known as Weather Modification (WM). The United States of America, the People’s Republic of China, Thailand, the United Arab Emirates, and Europe have employed WM in an effort to prevent hurricanes and storms, control precipitations, mitigate deforestation and drought, and enhance agriculture. Recently, the use of WM has been expanded toward decreasing air pollution and creating favorable weather conditions for major political and athletic events. The increasing significance and use of WM call for consideration upon its positive and negative effects on human health, close collaboration among health experts and WM decision makers, and relevant public health emergency contingency planning.
Pshychological Resilience and Percieved Stress Level in Nurses: Experience of Nurses in Turkey
Authors: Çuhadar Döndü , Bahar Aynur , Samancioğlu Bağlama Sevgin , Koçak Hatice Serap , Özkaya Mesut 
Published: February 2023

Abstract

Objective:
To determine the effect of psychological resilience levels of nurses on perceived stress levels in this study.

Methods:
The research was carried out with 153 nurses. Socio-demographic Questionnaire, The Brief Resilience Scale, and Perceived Stress Scale were used as data collection tools.

Results:
The nurses’ total Brief Resilience Scale score average was 17.72 ± 4.48, and the total Perceived Stress Scale score average was 31.74 ± 7.18. There was a negative and moderately significant relationship between the resilience and stress level of the nurses. During the pandemic process, the level of stress that nurses perceive increases as their psychological resilience decreases.

Conclusion:
Psychological resilience and coping with stress are traits that can be improved. It is important to establish strategies to increase the resilience of nurses and improve their ability to cope effectively with stress.
Conversations with friends: ‘friends of the Court’ interventions of the state parties to the European Convention on Human Rights
Authors: Dzehtsiarou Kanstantsin 
Published: February 2023

AbstractThe European Convention on Human Rights allows its Contracting Parties to submit third-party interventions. This paper analyses the reasons for engagement of the states with the European Court of Human Rights beyond what they are strictly expected to do: respond in contentious cases and execute judgments. It is argued here that the states mainly engage with the Court for the purposes of self-interest. This paper fills the gap in the literature by substantiating this claim using empirical methods of content analysis of the case law and research interviews with the governmental representatives. Finally, this paper looks at the impact of third-party interventions on the Court's reasoning and concludes that the Court is aware of the aims of the national governments and bears those aims in mind.
Mantle transition zone-derived eclogite xenolith entrained in a diamondiferous Mesoproterozoic (∼1.1 Ga) kimberlite from the Eastern Dharwar Craton, India: evidence from a coesite, K-omphacite, and majoritic garnet assemblage
Authors: Chatterjee Amitava , Chalapathi Rao N. V. , Pandey Rohit , Pandey Ashutosh 
Published: February 2023

AbstractSubduction-related kimberlite-borne eclogite xenoliths of the Precambrian age may provide significant information about the evolution and recycling of a subducting crust as exhumed/orogenic eclogites of the pre-Mesoproterozoic time-frame are globally rare. In this paper, we report a kimberlite-borne eclogite xenolith from the diamondiferous Kalyandurg kimberlite cluster of the Eastern Dharwar Craton, India, which contains a plethora of ultra-high-pressure minerals such as coesite, majoritic garnet, and supersilicic K-rich omphacite. The presence of these ultra-high-pressure minerals is confirmed byin situX-ray diffractometry, laser Raman spectra and electron probe microanalysis. The presence of coesite undisputedly pinpoints a subduction origin for the eclogite at ∼2.8 GPa pressure, which corresponds to ∼100 km depth. The geothermobarometric estimations involving garnet–omphacite–kyanite–coesite reveal that such an eclogitic assemblage equilibrated at ∼5–8 GPa (∼175–280 km) pressure during ultra-deep subduction. The textural relationship between omphacite, coarse-grained garnet and majoritic garnet coupled with the laser Raman spectra and geobarometric estimations obtained from the majoritic garnet demonstrate that the majoritic garnet formed at ∼8–19 GPa (∼280–660 km) owing to disassociation of omphacite and coarse-grained garnet to majoritic garnet during increment of pressure up to the mantle transition zone. Thus, the mineralogical and geothermobarometric data suggest that the studied eclogite possibly travelled down to the mantle transition zone before it was rapidly carried up by a pre-Mesoproterozoic mantle plume, and subsequently entrained as a xenolith by the Mesoproterozoic (∼1.1 Ga) kimberlite.
Environmental Clientelism: How Chinese Private Enterprises Lobby under Environmental Crackdowns
Authors: Li Jun , Zhan Jing Vivian 
Published: February 2023

AbstractChina's environmental crackdowns under Xi Jinping have led to a sweeping shutdown of private enterprises. To circumvent this, enterprises have developed different survival strategies including direct lobbying to government officials and indirect lobbying through business associations. Based on comparative case studies of environmental lobbying in Chinese cities, our research finds that larger enterprises, enjoying more economic leverage, tend to lobby directly using their own political connections to sway environmental enforcement. By contrast, smaller enterprises are excluded from these clientelist networks and have to lobby through business associations, the effectiveness of which hinges on the support of large enterprises. Therefore, we argue that although the Chinese government's increasingly stringent environmental policies have shrunk the lobbying (and living) space for private enterprises, the existence of environmental clientelism protects economically powerful and politically connected private enterprises but sacrifices the others in the implementation of environmental policies.