bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collection of Biospecimens from the Inspiration4 Mission Establishes the Standards for the Space Omics and Medical Atlas (SOMA)
Authors: Overbey Eliah G. , Ryon Krista , Kim JangKeun , Tierney Braden , Klotz Remi , Ortiz Veronica , Mullane Sean , Schmidt Julian C. , MacKay Matthew , Damle Namita , Najjar Deena , Matei Irina , Patras Laura , Medina J. Sebastian Garcia , Kleinman Ashley , Hirschberg Jeremy Wain , Proszynski Jacqueline , Narayanan S. Anand , Schmidt Caleb M. , Afshin Evan E. , Innes Lucinda , Saldarriaga Mateo Mejia , Schmidt Michael A. , Granstein Richard D. , Shirah Bader , Yu Min , Lyden David , Mateus Jaime , Mason Christopher E. 
Published: May 2023

AbstractThe SpaceX Inspiration4 mission provided a unique opportunity to study the impact of spaceflight on the human body. Biospecimen samples were collected from the crew at different stages of the mission, including before (L-92, L-44, L-3 days), during (FD1, FD2, FD3), and after (R+1, R+45, R+82, R+194 days) spaceflight, creating a longitudinal sample set. The collection process included samples such as venous blood, capillary dried blood spot cards, saliva, urine, stool, body swabs, capsule swabs, SpaceX Dragon capsule HEPA filter, and skin biopsies, which were processed to obtain aliquots of serum, plasma, extracellular vesicles, and peripheral blood mononuclear cells. All samples were then processed in clinical and research laboratories for optimal isolation and testing of DNA, RNA, proteins, metabolites, and other biomolecules. This paper describes the complete set of collected biospecimens, their processing steps, and long-term biobanking methods, which enable future molecular assays and testing. As such, this study details a robust framework for obtaining and preserving high-quality human, microbial, and environmental samples for aerospace medicine in the Space Omics and Medical Atlas (SOMA) initiative, which can also aid future experiments in human spaceflight and space biology.
The Role of Lrig1 in the Development of the Colonic Epithelium
Authors: Hopton Rachel E. , Jahahn Nicholas J. , Zemper Anne E. 
Published: May 2023

ABSTRACTGrowth and specification of the mouse intestine occurs in utero and concludes after birth. While numerous studies have examined this developmental process in the small intestine, far less is known about the cellular and molecular cues required for colon development. In this study, we examine the morphological events leading to crypt formation, epithelial cell differentiation, areas of proliferation, and the emergence and expression of a stem and progenitor cell marker Lrig1. Through multicolor lineage tracing, we show Lrig1 expressing cells are present at birth and behave as stem cells to establish clonal crypts within three weeks after birth. In addition, we use an inducible knockout mouse to eliminate Lrig1 during colon development and show loss of Lrig1 restrains proliferation within a critical developmental time window, without impacting colonic epithelial cell differentiation. Our study illustrates the morphological changes that occur during crypt development and the importance of Lrig1 in the developing colon.
Joint representation of molecular networks from multiple species improves gene classification
Authors: Mancuso Christopher A , Johnson Kayla A , Liu Renming , Krishnan Arjun 
Published: May 2023

AbstractNetwork-based machine learning (ML) has the potential for predicting novel genes associated with nearly any health and disease context. However, this approach often uses network information from only the single species under consideration even though networks for most species are noisy and incomplete. While some recent methods have begun addressing this shortcoming by using networks from more than one species, they lack one or more key desirable properties: handling networks from multiple species, incorporating many-to-many orthology information, or generating a network representation that is reusable across different types of and newly-defined prediction tasks. Here, we present GenePlexusZoo, a framework that casts molecular networks from multiple species into a single reusable feature space for network-based ML. We demonstrate that this multi-species network representation improves both gene classification within a single species and knowledge-transfer across species, even in cases where the inter-species correspondence is undetectable based on shared orthologous genes. Thus, GenePlexusZoo enables effectively leveraging the high evolutionary molecular, functional, and phenotypic conservation across species to discover novel genes associated with diverse biological contexts.
Toxic anti-phage defense proteins inhibited by intragenic antitoxin proteins
Authors: Zhong Aoshu , Jiang Xiaofang , Hickman Alison B. , Klier Katherine , Teodoro Gabriella I. C. , Dyda Fred , Laub Michael T. , Storz Gisela 
Published: May 2023

Recombination-promoting nuclease (Rpn) proteins are broadly distributed across bacterial phyla, yet their functions remain unclear. Here we report these proteins are new toxin-antitoxin systems, comprised of genes-within-genes, that combat phage infection. We show the small, highly variable RpnC-terminal domains (RpnS), which are translated separately from the full-length proteins (RpnL), directly block the activities of the toxic full-length proteins. The crystal structure of RpnASrevealed a dimerization interface encompassing a helix that can have four amino acid repeats whose number varies widely among strains of the same species. Consistent with strong selection for the variation, we document plasmid-encoded RpnP2LprotectsEscherichia coliagainst certain phages. We propose many more intragenic-encoded proteins that serve regulatory roles remain to be discovered in all organisms.SignificanceHere we document the function of small genes-within-genes, showing they encode antitoxin proteins that block the functions of the toxic DNA endonuclease proteins encoded by the longerrpngenes. Intriguingly, a sequence present in both long and short protein shows extensive variation in the number of four amino acid repeats. Consistent with a strong selection for the variation, we provide evidence that the Rpn proteins represent a phage defense system.
Constitutive and variable patterns of genome-wide DNA methylation in populations from spatial-environmental range extremes of the bumble beeBombus vosnesenskii
Authors: Rahman Sarthok Rasique , Lozier Jeffrey D. 
Published: May 2023

AbstractUnraveling molecular mechanisms of adaptation to complex environments is crucial to understanding tolerance of abiotic pressures and responses to climatic change. Epigenetic variation is increasingly recognized as a mechanism that can facilitate rapid responses to changing environmental cues. To investigate variation in genetic and epigenetic diversity at spatial and thermal extremes, we use whole genome and methylome sequencing to generate a high-resolution map of DNA methylation in the bumble beeBombus vosnesenskii. We sample two populations representing spatial and environmental range extremes (a warm southern low-elevation site and a cold northern high-elevation site) previously shown to exhibit differences in thermal tolerance and determine positions in the genome that are constitutively and variably methylated across samples. Bisulfite sequencing reveals methylation characteristics similar to other arthropods, with low global CpG methylation but high methylation concentrated in gene bodies and in genome regions with low nucleotide diversity. Differentially methylated sites (n = 2,066) were largely hypomethylated in the northern high-elevation population but not related to local sequence differentiation. The concentration of methylated and differentially methylated sites in exons and putative promoter regions suggests a possible role in gene regulation, and this high-resolution analysis of intraspecific epigenetic variation in wildBombussuggests that the function of methylation in niche adaptation would be worth further investigation.
Temporal variation in introgressed segments’ length statistics sheds light on past admixture pulses
Authors: Di Santo Lionel N. , Quilodran Claudio S. , Currat Mathias 
Published: May 2023

AbstractHybridization is recognized as an important evolutionary force, but identifying and timing admixture events between divergent lineages remains a major aim of evolutionary biology. While this has traditionally been done using inferential tools on contemporary genomes, the latest advances in paleogenomics have provided a growing wealth of temporally distributed genomic data. Here, we used individual-based simulations to generate chromosome-level genomics data for a two-population system and described temporal neutral introgression patterns under a single- and two-pulse admixture model. We computed three summary statistics aiming to inform the timing and number of admixture pulses between interbreeding entities: lengths of introgressed sequences and their variance within-genomes, as well as genome-wide introgression proportions. The first two statistics can confidently be used to infer inter-lineage hybridization history, peaking at the beginning and shortly after an admixture pulse. Temporal variation in introgression proportions provided more limited insights. We then computed these statistics onHomo sapienspaleogenomes and successfully inferred the hybridization pulse with Neanderthal that occurred approximately 40 to 60 kya. The scarce number of genomes dating from this period prevented more precise inferences, but the accumulation of paleogenomic data opens promising perspectives as our approach only requires a limited number of genomes.
Unearthing the relationship between supply chain social capital and firm performance: the role of supply chain responsiveness
Authors: Acquah Ishmael Nanaba , Kumi Caleb Amankwaa , Asamoah David , Agyei-Owusu Benjamin , Agbodza Mavis , Agyabeng-Mensah Yaw 
Published: May 2023

PurposeThis paper examines the nexus between supply chain social capital (relational social capital and structural social capital), supply chain responsiveness (operations system responsiveness and supplier network responsiveness) and firm performance. Additionally, the study examines the mediating role of supply chain responsiveness on the relationship between supply chain social capital and firm performance.Design/methodology/approachThe authors test their hypotheses on a sample of 120 firms operating in Ghana. The measurement model and hypothesized paths were assessed using partial least squares structural equation modelling.FindingsThe findings revealed that structural social capital had a significant direct effect on firm performance, but relational social capital did not. It was also revealed that both relational and structural social capital have significant effects on operations system responsiveness and supplier network responsiveness. Additionally, operations system responsiveness fully mediated the effect of relational social capital on firm performance and partially mediated the effect of structural social capital on firm performance. Supplier network responsiveness, on the other hand, partially mediated the effect of both relational and structural social capital on firm performance.Originality/valueThis study contributes to the limited literature on supply chain social capital by unearthing the mechanisms through which supply chain social capital enhances firm performance. Specifically, the study demonstrates the intervening role of operations system responsiveness and supplier network responsiveness in the supply chain social capital–firm performance link.
From resources to sustainability: a practice-based view of net zero economy implementation in small and medium business-to-business firms
Authors: Bag Surajit 
Published: April 2023

PurposeThis study examines the effect of resources (e.g. tangible resources, human skills and intangible resources) that are utilized as a bundle of standard practices on sustainable net zero economy implementation and their further impact on financial, environmental and social performance among small- and medium-level enterprises in business markets. The moderating effect of big data analytical intelligence is also examined.Design/methodology/approachThe samples were selected from the paper and chemical manufacturing industries of South Africa. The data analysis was performed using variance-based structural equation modeling.FindingsThe results show that tangible resources, human skills and intangible resources positively influence sustainable net zero economy adoption. However, intangible resources have a more substantial influence on sustainable net zero economy implementation. This shows that adopting a sustainable net zero economy depends more on a bundle of common practices, including sustainability culture, employee training and knowledge management, and managers must create the necessary action plans accordingly. In addition, sustainable net zero economy adoption positively influences financial performance, environmental performance and social performance. However, sustainable net zero economy adoption has a more substantial influence on social performance. Therefore, implementing a net zero economy will be more advantageous to society and to local communities.Practical implicationsTo achieve a sustainable net zero economy, managers should recognize the significance of resource management. While managing tangible resources and human skills is crucial, intangible resources, such as culture and organizational learning, require more attention. Additionally, the ability of small- and medium-sized enterprises to explore, store, share and apply knowledge is crucial to achieving net zero. Therefore, managers should make use of Industry 4.0-based digital technologies for effective knowledge management. Moreover, net zero economy adoption can significantly enhance societal performance. Hence, while making budgeting decisions, managers must consider the potential of the firm's resources to improve social performance.Originality/valueThis study is the first to investigate the impact of human skills and tangible and intangible resources on the adoption of a sustainable net zero economy by companies, using empirical evidence. The research expands on the concept of the practice-based view (PBV) in the implementation of sustainable net zero economies by small- and medium-sized business-to-business enterprises.
The right time for a big bath: asset impairment recognition in earnings management
Authors: Mielcarz Paweł , Osiichuk Dmytro , Tselinko Inna 
Published: May 2023

PurposeThe article investigates the patterns of asset impairment recognition in search of signs of “big bath” earnings management practices across an internationally diversified sample of public companies. It also elucidates the incentives that may underlie such practices and explores possible safeguards embedded in the existing corporate governance mechanisms.Design/methodology/approachThe article applied static panel and binary logit models to an international firm-level panel dataset of 1045 public companies observed between 2003 and 2018.FindingsOur empirical results suggest that recognition of asset impairment has no determinate impact on earnings volatility. Investigating the possibility of “big bath” earnings management practices, the authors found no impact of asset impairment recognition on total senior executive compensation in firms, which pay performance-based remuneration. The quality of corporate governance has appeared to impact the firms’ intertemporal proclivity to recognize asset impairment with those having the more entrenched and management-controlled boards being more likely to time impairment recognition by delaying it during exceptionally good and exceptionally bad years. While generally unlikely, recognition of asset impairment in a period with a recorded negative operating performance is found to be closely associated with key executive departures.Originality/valueThe article corroborates the salient role of corporate governance mechanisms in shaping the intertemporal patterns of asset impairment recognition. The possible remedies to the phenomenon should be derived therefrom.
Machine learning approaches for prediction of ovarian cancer driver genes from mutational and network analysis
Authors: Wadapurkar Rucha , Bapat Sanket , Mahajan Rupali , Vyas Renu 
Published: May 2023

PurposeOvarian cancer (OC) is the most common type of gynecologic cancer in the world with a high rate of mortality. Due to manifestation of generic symptoms and absence of specific biomarkers, OC is usually diagnosed at a late stage. Machine learning models can be employed to predict driver genes implicated in causative mutations.Design/methodology/approachIn the present study, a comprehensive next generation sequencing (NGS) analysis of whole exome sequences of 47 OC patients was carried out to identify clinically significant mutations. Nine functional features of 708 mutations identified were input into a machine learning classification model by employing the eXtreme Gradient Boosting (XGBoost) classifier method for prediction of OC driver genes.FindingsThe XGBoost classifier model yielded a classification accuracy of 0.946, which was superior to that obtained by other classifiers such as decision tree, Naive Bayes, random forest and support vector machine. Further, an interaction network was generated to identify and establish correlations with cancer-associated pathways and gene ontology data.Originality/valueThe final results revealed 12 putative candidate cancer driver genes, namely LAMA3, LAMC3, COL6A1, COL5A1, COL2A1, UGT1A1, BDNF, ANK1, WNT10A, FZD4, PLEKHG5 and CYP2C9, that may have implications in clinical diagnosis.
Attraction and compromise effects under social exclusion
Authors: Kim Jungkeun , Lee Jaehoon , Kim Jae-Eun 
Published: May 2023

Purpose
Integrating conceptual perspectives from social exclusion, thinking style and context effects, this study aims to examine how different types of social exclusion influence attraction and compromise effects.

Design/methodology/approach
Eight studies were conducted. To establish the causal relationship between social exclusion types and context effects, this study uses experimental designs in all studies.

Findings
The attraction effect is stronger when consumers feel rejected than ignored, whereas the compromise effect is stronger when they feel ignored than rejected. Consumers who feel rejected increase their propensity to think holistically, which in turn leads to their choice preferences for asymmetrically dominant options. Conversely, those who feel ignored increase their propensity to think analytically, which in turn leads to their choice preferences for compromise options.

Research limitations/implications
The findings show that consumer preferences for one option over the other alternatives in choice contexts are susceptible to subtle differences in the manner that exclusion is communicated. The studies are limited to recall tasks and scenarios that previous research has shown to be effective. Future research may use actual exclusion to corroborate this study’s findings.

Practical implications
Marketing practitioners may benefit from this study’s findings when it comes to an increase in the relative share of their target brand against their competitor brands by introducing a third option.

Originality/value
To the best of the authors’ knowledge, this research is the first to provide evidence that exclusion communicated in an explicit manner produces the attraction effect, whereas exclusion communicated in an implicit manner produces the compromise effect. Given that threatening situations often influence individuals’ preferences and choices, how social exclusion shapes cognitive processes is an empirical question worthy of investigation.
Integrative conceptual framework of student loyalty, service quality, e-service quality and university image in open and distance learning
Authors: Daud Yon Rosli , Mohd Amin Mohd Rushidi 
Published: May 2023

PurposeThe aim of this study is to examine the relationship between the determinants of student loyalty, i.e. service quality, e-service quality and university image in open and distance learning (ODL) based on the theory of reasoned action, in more systematic approach. This study also examines university's image role as a mediator on the relationship between service quality and e-service quality towards student loyalty.Design/methodology/approachThis paper develops an integrative conceptual framework along with propositions by integrating comprehensive literature, in the field of service quality, e-service quality, university image and student loyalty. Through the review of detail literature and based theory of reasoned action (TRA), it is proposed that service quality, e-service quality and university image would be meaningful attributes towards student loyalty. In addition, it is also contended that university image would mediate the relationship between service quality and e-service quality towards students’ loyalty.FindingsThis paper provides an integrative conceptual framework on service quality, e-service quality, university image and students loyalty in open and distance learning (ODL) context.Originality/valueNone of the models presented in the literature explore the mediation of university image on the relationship between service quality and e-service quality towards student loyalty as the most recent research on the subject envisages.
Advance fee fraud scammers’ criminal expertise and deceptive strategies: a qualitative case study
Authors: Tambe Ebot Alain 
Published: May 2023

Purpose
This study aims to examine how advance fee fraud (AFF) scammers build their criminal expertise over time and why the AFF scamming deception process succeeds.

Design/methodology/approach
This study is interpretive, based on case study interview data with two scammers operating in Africa. The interviews were done over a period of time, and the data collection and analysis processes were iterative, primarily driven by the interview data.

Findings
The authors identify four processes that explain how scammers build criminal expertise, namely, socializing with scammers, accepting scamming definitions, practicing scamming techniques and manipulating digital technologies. The fourth process (manipulating digital technologies) also explains why scammer’s tactics are successful.

Originality/value
AFF scamming is a major crime affecting individuals and organizations worldwide, yet it remains under researched as little is known about scammers, their expertise and why their deceptive techniques are successful. The first contribution identifies four processes by which individuals build scamming criminal expertise as they transition from scammers-in-the-making to full-blown active scammers. The second contribution identifies the rationalizations used by scammers-in-the-making and scammers to justify transitioning into scamming and engaging in scamming criminality. The third contribution explains how the digital environment contributes to the processes of building scamming criminal expertise and why scammer’s deceptive tactics are sometimes successful.