bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Social Capital Imperative
Authors: Cullen-Lester Kristin L , Pryor Greg 
Published: February 2025

Abstract
Networks impact employees’ job performance, development, career growth, and overall well-being, ultimately enabling or undermining how an organization functions. This chapter identifies fundamental shifts in the business environment, which, if not addressed, will lead to collaborative overload, inadequate agility in the face of change, and declining well-being. However, this chapter proposes that by prioritizing intentional connections, organizations can achieve positive outcomes (e.g., empower teamwork, bridge silos, accelerate innovation, and increase belonging). Adding a social capital lens to the historical human capital lens used by organizations is no longer just “nice to do,” but an imperative. Decades of research point to opportunities to use network science to address major business challenges, yet social capital solutions have not captured practitioners’ attention and imagination. This chapter explains how the book guides practitioners in revealing novel insights from network analysis and taking action to create impact by developing and leveraging networks within their organization.
Conducting Network Analysis to Deliver Organizational Insights
Authors: Hines Scott 
Published: February 2025

Abstract
Employees are immersed in a complex web of social connections within organizations, significantly influencing information flow, resource distribution, and individual behaviors. Network analysis offers a powerful approach to examine these dynamics. This chapter explores active and passive data collection methods, highlighting the benefits and challenges of each approach. It then presents a range of network centrality metrics that can identify key individuals based on their activity, control, efficiency, and overall importance within the network. Importantly, the chapter discusses how to effectively convey network insights to organizational leaders through visualizations and role-based categorizations. Finally, it demonstrates the application of network analysis to address diverse organizational challenges, from onboarding and change management to fostering innovation and optimizing structures. By harnessing the insights from network analysis, organizations can navigate the complexities of the modern workplace and drive transformative change.
Bridging Cultures Through Influencers in Postacquisition Integration
Authors: Vicsek Andras 
Published: February 2025

Abstract
Navigating the complexities of postacquisition cultural integration is critical for organizational success. This chapter presents a comprehensive examination of how influencers within an organization can play a critical role in merging distinct cultures following an acquisition. Through a case study of a telecommunications company undergoing significant cultural shifts after being acquired, the chapter explores the deployment of organizational network analysis to map influence patterns and reveal key internal influencers. This case demonstrates how leveraging these influencers facilitates transparent communication and inclusive leadership, effectively addressing cultural misalignment and fostering a unified organizational identity. The process is articulated in three phases: mapping influence, revealing influential individuals, and harnessing their potential to guide the organization through the transition. This approach not only mitigated the adverse impacts of cultural clashes but also enhanced employee engagement and retention, showcasing the strategic value of influencers in ensuring the smooth integration of merged entities.
Crowdsourcing Organizational Structure Through Social Network Analysis
Authors: Floyd Theresa , Labianca Giuseppe (Joe) , Patrick Brad 
Published: February 2025

Abstract
This case describes how insights from social network analyses can inform leadership’s decision-making around organizational structure to optimize workflows and structural and cultural integration after a large merger. It used a whole network survey to seek employee feedback on who they were currently collaborating with and who they would like to work more closely with in the future. This information informed recommended changes to the organizational structure that improved the new product development process in a large U.S. consumer goods manufacturer. In this same organization, data were collected about interdepartmental collaboration to suggest changes to improve the organization’s main “create, make, move, and sell” processes during a postmerger integration initiative and employees’ perceptions and attitudes were measured to provide suggestions for improving cultural integration among two legacy companies. In sum, this case demonstrates novel methods for eliciting systematic employee-crowdsourced inputs to guide leaders in making structural changes in their organizations.
Domesticating Black Women
Authors: Tischler Julia 
Published: February 2025

Abstract
Chapter 5 discusses domestic education programmes for African women, which wilfully ignored their central role in productive farming. Instead, African women’s education revolved narrowly around domestic concerns—hygiene, childcare, nutrition, poultry, and vegetable farming at most—and projected a clear division between the outside world of farming and the internal sphere of the household that had little to do with the reality of life in the reserves. However, I argue that domestic education did not result in a simple clash between imposed European gender norms and African realities, as has been suggested in the existing research; instead, African women themselves were able to negotiate the meaning of domesticity, combining the Victorian ideal with their own notions of respectability, agency, and class distinction.
GCLink: a graph contrastive link prediction framework for gene regulatory network inference
Authors: Yu Weiming , Lin Zerun , Lan Miaofang , Ou-Yang Le 
Published: February 2025

Abstract

Motivation
Gene regulatory networks (GRNs) unveil the intricate interactions among genes, pivotal in elucidating the complex biological processes within cells. The advent of single-cell RNA-sequencing (scRNA-seq) enables the inference of GRNs at single-cell resolution. However, the majority of current supervised network inference methods typically concentrate on predicting pairwise gene regulatory interaction, thus failing to fully exploit correlations among all genes and exhibiting limited generalization performance.

Results
To address these issues, we propose a graph contrastive link prediction (GCLink) model to infer potential gene regulatory interactions from scRNA-seq data. Based on known gene regulatory interactions and scRNA-seq data, GCLink introduces a graph contrastive learning strategy to aggregate the feature and neighborhood information of genes to learn their representations. This approach reduces the dependence of our model on sample size and enhance its ability in predicting potential gene regulatory interactions. Extensive experiments on real scRNA-seq datasets demonstrate that GCLink outperforms other state-of-the-art methods in most cases. Furthermore, by pretraining GCLink on a source cell line with abundant known regulatory interactions and fine-tuning it on a target cell line with limited amount of known interactions, our GCLink model exhibits good performance in GRN inference, demonstrating its effectiveness in inferring GRNs from datasets with limited known interactions.

Availability
The source code and data are available at https://github.com/Yoyiming/GCLink

Supplementary information
Supplementary data are available at Bioinformatics online.
Choosing the right outcome measures for acne scar research: a guide for clinicians
Authors: Zhang Xin , Xie Yuanyuan , Zhou Meng , Liu Yuzhen , Zeng Rong 
Published: February 2025

Abstract
Acne scarring is a common consequence of acne vulgaris. Recently, there have been huge advancements in photoelectric therapies for scarring, leading to a growing body of literature on the efficacy and safety of these devices. However, interventional studies are hindered by the absence of standardized and validated outcome measures for acne scarring. In this article, we aim to review current grading modalities to assist clinicians in conducting acne scar research and therapies. PubMed and MEDLINE online databases were searched to identify acne scarring severity measurement tools. Each was classified into objective tools, subjective investigator-reported or patient-reported assessments and they were evaluated for reliability, sensitivity, validity and other important aspects. Objective instruments for assessing clinical efficacy in acne scarring show promise, especially PRIMOS, a three-dimensional imager with strong interrater reliability [intraclass correlation coefficient (ICC) &gt; 0.90] and intrarater reliability (ICC &gt; 0.96). Regarding subjective assessments, the Échelle d’Évaluation Clinique des Cicatrices d’Acné (ECCA) tool features the widest range of applications and shows acceptable performance. The original ECCA tool scored five out of eight points, while the adapted version achieved six out of eight points after combining three essential factors: reliability, sensitivity and validity. The Goodman and Baron Global Acne Scarring Grading System (GSGS) score also achieved a good score of seven out of eight. However, most scales demonstrated poor or moderate performance owing to the lack of reliability testing and evidence from independent assessment. Our conclusion is that PRIMOS stands out as a strong objective tool, whereas GSGS and adapted ECCA are the leading subjective scales with acceptable to strong performance. More importantly, there is the need for standardized scales, facilitating the pooling of results for systematic reviews, meta-analyses and clinical recommendations.
Development of Psilocybe mushroom species reference material—cultivation parameters and chemical profiles
Authors: Windsor Coleton , Kreynes Anna E , Chilton Jeff S , Chioffi William A , Niebergall Christopher , Dodds Kelsey 
Published: February 2025

Abstract

Background
Psilocybin–containing mushrooms are gaining the attention of the scientific community due to the potential benefits offered by their psychoactive phytochemicals in the treatment of addiction and various mental health conditions. Although there are hundreds of different Psilocybe species, only a handful have been successfully cultivated under indoor controlled conditions and chemically analyzed.

Objective
The goal of this publication is to describe Nammex's ongoing effort to cultivate poorly studied Psilocybe mushroom species and analyze them by High Performance Thin–Layer Chromatography (HPTLC) to identify and quantify important psychoactive compounds.

Methods
Pure mycelium cultures of Psilocybe species were created from spore prints and tissue of mushrooms collected in the wild. From these mycelia, numerous cultivars were developed and then propagated on various substrates, based upon nutritionally supplemented cellulosic materials. Using indoor growth chambers under strictly controlled conditions, mushrooms were produced and prepared for analysis.

Results
Six Psilocybe species (P. zapotecorum, P. natalensis, P. azurescens, P. subaeruginosa, P. cyanescens, and P. stuntzii) were successfully cultivated indoors. Species identity was confirmed through analysis of anatomical and microscopic features, as well as by DNA sequencing. HPTLC was successfully used to quantify psilocybin and psilocin and identify norbaeocystin, baeocystin, and aeruginascin. P. zapotecorum had the highest psilocybin content (1.89%) and P. stuntzii the lowest (0.45%). Preliminary data showed that psilocybin concentrations remained stable across three successive flushes of P. stuntzii. Storage of fresh mushrooms in -20 °C freezer prior to freeze drying drastically reduced psilocybin and increased psilocin levels.

Conclusions
This study successfully demonstrated the cultivation and chemical profiling of multiple Psilocybe species under controlled conditions. The detailed HPTLC analysis revealed species-specific differences in psychoactive compound concentrations. Future research will incorporate advanced techniques, such as HPLC and mass spectrometry, to develop a more comprehensive chemical profile of these mushrooms.
Baseline synovitis-tenosynovitis associates with remission in early rheumatoid arthritis but discordance with disease activity is a changeable state
Authors: Shukla Rudresh R , Wakefield Richard J , Ho Pauline , Tan Ai Lyn , Emery Paul , Plant Darren , Buch Maya H 
Published: February 2025

Abstract

Objectives
To investigate the association between baseline joint-complex inflammation [power Doppler-detected joint synovitis(PDUS) and/or tenosynovitis(PDTS)] and remission in treatment-naïve, new-onset rheumatoid arthritis (RA) patients and to evaluate concordance and discordance states between clinical disease activity and PD ultrasound and transition between these states longitudinally.

Methods
At baseline, treatment-naïve early RA patients from a randomised controlled trial were categorized according to dominant hand PDUS and/or PDTS presence into four groups(PDUS+PDTS+, PDUS+PDTS-, PDUS-PDTS+, PDUS-PDTS-). Longitudinally, patients were grouped based on both clinical disease activity state (DAS) and PDUS presence into: DAS+PDUS + (DAS28-ESR &gt; 2.6, PDUS &gt; 0), DAS+PDUS-(DAS28-ESR &gt; 2.6, PDUS = 0), DAS-PDUS + (DAS28ESR ≤ 2.6, PDUS &gt; 0) and DAS-PDUS- (DAS28ESR ≤ 2.6, PDUS = 0). Bayesian logistic regression analysis was applied.

Results
Baseline PDUS+PDTS+ was associated with week 24 remission [posterior estimate = 1.41, credible interval = 0.16–2.65]. At baseline diagnosis, 68% were DAS+PDUS+ and 32% DAS+PDUS-. Early transition from DAS+PDUS+ to DAS+PDUS- (32% at week 12) occurred. Overall proportions with DAS+PDUS- remained unchanged (43% at week 24), however, individual membership of this group changed over time with only 41% at baseline remaining DAS+PDUS- through to week 48.

Conclusions
In new-onset RA, baseline joint-complex PD associates with week 24 remission. DAS+PDUS- emerges early but like DAS+PDUS+ and DAS-PDUS-, is a dynamic state, indicating opportunity for therapeutic targeting. Understanding the basis for these states can aid stratification and personalised treatment strategies.
Adverse Pregnancy Outcome in Fetuses With Early Increased Nuchal Translucency: Prospective Cohort Study
Authors: Bet B.B. , Lugthart M.A. , Linskens I.H. , Maarle M.C. Van , Leeuwen E. Van , Pajkrt E. 
Published: February 2025

(Abstracted from Ultrasound Obstet Gynecol 2024;64:164–172)
Nuchal translucency (NT) scans measure fluid accumulation at the back of a fetus’ neck and are routinely used for prenatal screening. Increased NT thickness is associated with adverse pregnancy outcomes, including aneuploidy, other genetic disorders, and structural anomalies.
Familial Recurrence of Autism: Updates From the Baby Siblings Research Consortium
Authors: Ozonoff Sally , Young Gregory S. , Bradshaw Jessica , Charman Tony , Chawarska Katarzyna , Iverson Jana M. , Klaiman Cheryl , Landa Rebecca J. , McDonald Nicole , Messinger Daniel , Schmidt Rebecca J. , Wilkinson Carol L. , Zwaigenbaum Lonnie 
Published: February 2025

(Abstracted from Pediatrics 2024;154:e2023065297)
Previous studies have shown that children with an older sibling diagnosed with autism spectrum disorder (ASD) face a 7- to 14-fold higher risk of receiving an ASD diagnosis themselves. This information is valuable for clinicians and families, enabling earlier counseling, planning, and diagnostic surveillance.
Infant Deaths After Texas’ 2021 Ban on Abortion in Early Pregnancy
Authors: Gemmill Alison , Margerison Claire E. , Stuart Elizabeth A. , Bell Suzanne O. 
Published: February 2025

(Abstracted from JAMA Pediatr 2024;178(8):784–791)
Since the 2022 US Supreme Court decision in Dobbs v. Jackson Women’s Health Organization, it has been suggested that abortion restrictions could increase infant mortality. For example, an increase in infant mortality could result from more people being forced to carry a pregnancy, including those with congenital malformations, which accounts for 1 in 5 infants deaths in the United States.
Hypertensive Disorders of Pregnancy and the Risk of Maternal Dementia: A Systematic Review and Meta-Analysis
Authors: Carey Cian , Mulcahy Emily , McCarthy Fergus P. , Jennings Emma , Kublickiene Karolina , Khashan Ali , Barrett Peter 
Published: February 2025

(Abstracted from Am J Obstet Gynecol 2024;231:196–210)
Hypertensive disorders of pregnancy (HDPs), including chronic hypertension, gestational hypertension, preeclampsia (PE), eclampsia, and PE superimposed on chronic hypertension, affect 5%–15% of pregnancies and are associated with higher risks of cardiovascular disease, stroke, diabetes, and chronic kidney disease. Their potential impact on dementia, such as vascular dementia and Alzheimer disease, remains understudied.
Nipocalimab in Early-Onset Severe Hemolytic Disease of the Fetus and Newborn
Authors: Moise K.J. , Ling L.E. , Oepkes D. , Tiblad E. , Verweij E.J.T.J. , Lopriore E. , Smoleniec J. , Sachs U.J. , Bein G. , Kilby M.D. , Miller R.S. , Devlieger R. , Audibert F. , Emery S.P. , Markham K. , Norton M.E. , Ocón-Hernández O. , Pandya P. , Pereira L. , Silver R.M. , Windrim R. , Streisand J.B. , Leu J.H. , Mirza A. , Smith V. , Schwartz L.B. , Tjoa M.L. , Saeed-Khawaja S. , Komatsu Y. , Bussel J.B. ,   For the UNITY Study Group
Published: February 2025

(Abstracted from N Engl J Med 2024;391:526–537)
Severe hemolytic disease of the fetus and newborn (HDFN) is the result of a transplacental transfer of maternal IgG alloantibodies, which can cause fetal anemia. Early-onset severe HDFN occurs at ≤24 weeks of gestation.
An Examination of Grade Appeals via a Root Cause Analysis
Authors: Ginzburg Samara B. , Sein Aubrie Swan , Amiel Jonathan M. , Auerbach Lisa , Cassese Todd , Konopasek Lyuba , Ludwig Allison B. , Meholli Mimoza , Ovitsh Robin , Brenner Judith 
Published: February 2025

Abstract
Undergraduate medical educators seek to optimize student learning, improve grading transparency and fairness, and provide useful information to residency programs. Recently, the United States Medical Licensing Examination’s shift to pass/fail scoring for Step 1 disrupted curricular and assessment operations, and schools’ tiered grading practices have been scrutinized. In noting that significant institutional time and energy were being expended in addressing the current levels of student grade appeals, 6 public and private medical schools in the Northeastern United States engaged in an examination of grade appeals via a root cause analysis (RCA). From November 2021 to April 2022, the authors reviewed specific instances of grading challenges that the team of educators encountered previously. From May to June 2022, the authors met for a facilitated discussion of the question, “Why are students challenging grading processes and systems or outcomes?” From July to October 2022, the authors identified root causes by analyzing results from the fishbone diagram (process, equipment, materials, people, and environment) and using the “five whys” technique. Several potential explanations for grade appeals and challenging grading systems across institutions were identified, including variability in the quality or experience of evaluators, lack of clarity about the goals and expectations of clerkships and a lack of transparency about the grading process, having a tiered grading system, technical issues with equipment, and clinical productivity demands of faculty. In proposing solutions to root causes identified in the RCA, factors were mapped to Liaison Committee on Medical Education (LCME) standards to facilitate quality and process improvements in grading. Aiming to support the learning environment and a fair and equivalent assessment process, the authors present a novel RCA and LCME method that can contribute to improving grading systems and has the potential to enhance learning and success.
Perinatal Substance Use-Related Content at Major Addiction Scientific Conferences: An Analysis of Oral Presentation Sessions
Authors: Xu Kevin Y. , Jones Hendrée E. , Martin Caitlin E. , Smid Marcela C. , Tiako Max Jordan Nguemeni , Terplan Mishka , Krans Elizabeth E. 
Published: February 2025

Background
Substance use is a leading cause of pregnancy-associated death in the US. It is not known if the amount of perinatal content at national addiction science conferences reflects the research and education being done in this area nationally.

Methods
We analyzed oral presentation sessions at five major addiction scientific conferences from 2021 to 2023 (American Academy of Addiction Psychiatry [AAAP], American Society of Addiction Medicine [ASAM], Association for Multidisciplinary Education and Research in Substance use and Addiction [AMERSA], College on Problems of Drug Dependence [CPDD], Research Society on Alcohol [RSA]) closely affiliated with organizations involved with substance use-related research and funding. Conference programs were searched using an inductive framework to identify sessions focused on pregnancy or the postpartum period. Available session materials were reviewed, coded, and categorized into three mutually exclusive groups: 1) dedicated to the perinatal period, 2) containing some perinatal content, but were not dedicated to the perinatal period, and 3) sessions with no perinatal content.

Results
Across >3,000 speakers, less than 10% of sessions (76/788) contained perinatal substance use-related content. Among these, 4.7% (39/788) sessions were dedicated to the perinatal period, with the common topic covered being epidemiologic data on long-term infant neurodevelopmental outcomes following in utero drug exposure (n = 22). An additional 37 had some perinatal content but were not primarily focused on perinatal substance use. Among sessions dedicated to the perinatal period, only two covered overdoses.

Discussion
Sessions dedicated to the perinatal period may not adequately reflect the diverse real-world needs of birthing people with substance use disorders. Whereas included sessions commonly covered neurodevelopmental outcomes (ie, fetal alcohol spectrum disorders), overdose and the postpartum period were seldom covered.
The Dyadic Association Between Patient Overdose Risk and Family Attitudes Toward Medications for Opioid Use Disorder
Authors: Shah Kevan , Nameth Katherine , Choi Jasmin , Burgette Lane , Osilla Karen Chan 
Published: February 2025

Objectives:
Strong social support is beneficial in the care of patients with opioid use disorder. While medications for opioid use disorder (MOUD) are the gold standard treatment for OUD, the beliefs of support persons (SP; family, friend, partner of the individual) about MOUD can influence whether a person initiates and adheres to MOUD.

Methods:
We examined dyadic baseline data (n=219) of patients receiving buprenorphine treatment and their identified SP across five community health clinics in California. We evaluated SP attitudes about and familiarity with MOUD using 5 items and patient risk via sum scores on an opioid overdose risk assessment scale. We conducted multiple linear regression models using opioid overdose risk score as the outcome and SP attitudes as predictors, controlling for SP age, sex, and race as covariates.

Results:
The majority of SPs (80%) reported being at least somewhat familiar with MOUD, which was associated with patients who had ﻿lower opioid overdose risk scores. SPs who reported agreement with the belief statement that people should be able to stop their opioid use on their own without medication were associated with patients with higher opioid overdose risk scores (P=0.048). When adjusting for covariates, only increased familiarity with MOUD and﻿ lower ﻿patient overdose risk remained significant (P=0.028).

Conclusions:
Efforts that aim to promote familiarity with and decrease stigmatizing attitudes toward MOUD may be beneficial in both building support in the patient-SP relationship and potentially reducing overdose risk among patients with OUD.