bluuebunny/crossref_metadata_2025_split huggingface dataset:
MeCP2 Interacts with the Super Elongation Complex to Regulate Transcription
Authors: Sonn Jun Young , Kim Wonho , Iwanaszko Marta , Aoi Yuki , Li Yan , Parkitny Luke , Brissette Janice L. , Weiner Lorin , Al-Ramahi Ismael , Botas Juan , Shilatifard Ali , Zoghbi Huda Y. 
Published: July 2024

AbstractLoss-of-function mutations in methyl-CpG binding protein 2 (MECP2) cause Rett syndrome, a postnatal neurodevelopmental disorder that occurs in ∼1/10,000 live female births. MeCP2 binds to methylated cytosines across genomic DNA and recruits various partners to regulate gene expression. MeCP2 has been shown to repress transcriptionin vitroand interacts with co-repressors such as the Sin3A and NCoR complexes. Based on these observations, MeCP2 has been largely considered as a repressor of transcription. However, a mouse model of RTT displays many down-regulated genes, and those same genes are up-regulated in aMECP2duplication mouse model. Furthermore, TCF20, which has been associated with transcriptional activation, have recently been identified as a protein interactor of MeCP2. These data broaden the potential functions of MeCP2 as a regulator of gene expression. Yet, the molecular mechanisms underlying MeCP2-dependent gene regulation remain largely unknown. Here, using a humanMECP2gain-of-functionDrosophilamodel, we screened for genetic modifiers ofMECP2-induced phenotypes. Our approach identified several subunits of theDrosophilasuper elongation complex, a P-TEFb containing RNA polymerase II (RNA pol II) elongation factor required for the release of promoter-proximally paused RNA pol II, as genetic interactors ofMECP2. We discovered that MeCP2 physically interacts with the SEC in human cells and in the mouse brain. Furthermore, we found that MeCP2 directly binds AFF4, the scaffold of the SEC, via the transcriptional repression domain. Finally, loss of MeCP2 in the mouse cortex caused reduced binding of AFF4 specifically on a subset of genes involved in the regulation of synaptic function, which also displayed the strongest decrease in RNA pol II binding in the genebody. Taken together, our study reveals a previously unrecognized mechanism through which MeCP2 regulates transcription, providing a new dimension to its regulatory role in gene expression.
Evaluating Swiss growth reference curves: A comparative analysis in Zurich schoolchildren
Authors: Leuenberger Lorenz M. , Belle Fabiën N. , Mozun Rebeca , Spycher Ben D. , Mallet Maria C. , Jenni Oskar G. , Saner Christoph , Latzin Philipp , Moeller Alexander , Kuehni Claudia E. 
Published: July 2024

AbstractINTRODUCTIONSwitzerland has an ongoing debate about the appropriateness of national growth reference curves. The Swiss Society of Pediatrics currently recommends the growth references of the World Health Organization (WHO), while the Center for Pediatric Endocrinology Zurich has proposed alternative growth references based on local data. Specialists and researchers also use International Obesity Task Force (IOTF) references to define overweight and obesity. We investigated the fit of these three growth references to anthropometric measurements from schoolchildren in the canton of Zurich and assessed the prevalence of overweight, obesity, and short stature across the three references.METHODSWe analyzed data from 3755 children aged 6-17 years of the cross sectional LuftiBus in the school (LUIS) study, collected between 2013-2016 in the canton of Zurich. We calculated z-scores of height, weight, and body mass index (BMI) based on WHO, local, and IOTF references. We compared the mean and distribution of z-scores to the expected standard normal distribution using the Anderson-Darling test. We classified BMI based on cutoff values given by the three references: overweight (WHO: >90.0thpercentile; local: >82.9[girls], >78.9[boys]; IOTF: >89.3[girls], >90.5[boys]), and obesity (WHO: >97.0; local: >96.8[girls], >95.5[boys]; IOTF: >98.6[girls], >98.9[boys]). We defined short stature as <3rdpercentile of height-for-age.RESULTSThe mean z-scores in LUIS were 0.56 for height, 0.28 for weight, and 0.06 for BMI based on WHO references; 0.15 for height, 0.06 for weight, and -0.01 for BMI based on local references; and 0.19 for BMI based on IOTF references. WHO references provided a worse fit to the LUIS children than local references. Anderson-Darling goodness of fit A2was 578.1 (WHO) vs. 48.1 (local) for height and 124.0 vs. 10.0 for weight, with lower values indicating better fit. WHO (A2: 24.3) and local references (A2: 0.8) fit the BMI of LUIS children better than IOTF (A2: 64.1). The WHO classified fewer children as overweight than the local and IOTF references (WHO: 9% vs. local: 15% vs. IOTF: 13%) but more children as obese (6% vs. 4% vs. 3%). The WHO defined fewer children as being of short stature than the local references (1% vs. 3%).CONCLUSIONSOur findings suggest that anthropometric data of schoolchildren in Zurich differ notably from WHO and IOTF references potentially leading to misclassification of overweight, obesity, and short stature. Nationally representative and longitudinally collected data are needed to develop new Swiss growth references.
Exact Numerical Solution of the Fully Connected Classical and Quantum Heisenberg Spin Glass
Authors: Kavokine Nikita , Müller Markus , Georges Antoine , Parcollet Olivier 
Published: July 2024

We present the mean field solution of the quantum and classical Heisenberg spin glasses, using the combination of a high precision numerical solution of the Parisi full replica symmetry breaking equations and a continuous time quantum Monte Carlo algorithm. We characterize the spin glass order and its low-energy excitations down to zero temperature. The Heisenberg spin glass has a rougher energy landscape than its Ising analog, and exhibits a very slow temperature evolution of its dynamical properties. We extend our analysis to the doped, metallic Heisenberg spin glass, which displays unexpectedly slow spin dynamics, reflecting the proximity to the melting quantum critical point and its associated Sachdev-Ye-Kitaev Planckian dynamics.

Published by the American Physical Society
2024
How influencer characteristics drive Gen Z behavioural intentions of selecting fast-food restaurants: mediating roles of consumer emotions and self-construal
Authors: Ghosh Pratik , Upadhyay Sonali , Srivastava Vimal , Dhiman Rahul , Yu Larry 
Published: July 2024

PurposeThis study measured influencer characteristics, consumer emotions, self-construal, and behavioural intentions of Gen Z consumers for selecting fast-food restaurants in India. A consumer behaviour model was conceptualized based on established theories.Design/methodology/approachA cross-sectional design was employed for hypothesis testing. Influencer characteristic perceptions, consumer emotions, self-construal, and behavioural intentions were measured for Gen Z consumers in Tier 1 cities in India using structural equation modelling.FindingsInfluencer characteristics significantly influenced behavioural intentions, consumer emotions, and self-construal in Gen Z consumers. Self-construal was also a significant predictor of behavioural intentions. Consumer emotions had a negative effect on behavioural intentions. Self-construal was a mediator between influencer characteristics and behavioural intentions and between consumer emotions and behavioural intentions. However, consumer emotions did not mediate the relationship between influencer characteristics and behavioural intentions.Practical implicationsMarketers can leverage these insights to design influencer campaigns that resonate with the emotions and self-construal of Gen Z consumers. Microinfluencers with characteristics that align with the target demographic’s emotions and self-perception can be strategically chosen.Originality/valueOnly a limited number of studies have investigated the influence of social media marketing on consumer behaviour within the fast-food industry, specifically with Gen Z consumers. This study sheds new light on the behavioural intention of Gen Z consumers predicted through influencer characteristics, consumer emotions, and self-construal through a conceptual model. The results support choosing microinfluencers and investing in them judiciously to promote fast-food businesses.
A comparison of rolling element bearing stiffness calculation methods
Authors: Wang Zi 
Published: July 2024

PurposeThis study examines two distinct bearing stiffness calculation methods, both of which are based on the displacement-load function. Previous research typically incorporated one type of bearing stiffness into their system mechanics or vibration analysis. However, these two methods of calculating stiffness lead to different vibration models. This implies that the choice for vibration investigation is not merely about selecting one of the two types of stiffness, but also about how to appropriately implement that chosen stiffness within a model. The primary objective of this work is to compare these two methods of bearing calculation and to discuss the suitable applications of each method in both static and dynamic analyses.Design/methodology/approachThis study compares two distinct methods for calculating bearing stiffness. It explores the relationships between varying bearing stiffnesses, their internal structures, and contact features. Furthermore, it examines the impact of external loads on the static properties and dynamic characteristics of different bearing stiffnesses. Finally, based on the outcomes observed under various operating conditions, the study discusses the suitability of each method for static and dynamic analysis.FindingsMean stiffness is more suitable for calculating load transmissibility in a static state or capturing the delivery performance at instantaneous equilibrium positions in a dynamic state. Since the variation of the equilibrium positions is ignored, the alternating stiffness model is better suited for capturing the fluctuating properties of the vibration behaviors, especially under variable external load conditions.Originality/valueWe compare the two bearing calculation methods and discuss the appropriate applications of each method for static and dynamic analysis.
The power of feedback in teacher education
Authors: Weaver Joanna C. , Matangula Tionge C. , Matney Gabriel 
Published: July 2024

PurposeThis qualitative study extends jigsaw lesson study (JLS) by focusing specifically on the impact of feedback on teacher candidates’ (TCs') professional knowledge and instructional growth in the teacher-educator classroom.Design/methodology/approachFor this study, JLS took place in two different methods courses and followed the lesson study (LS) framework using the small group rotations of JLS. In each course, the JLS small group teams taught another team before receiving feedback and revising their lessons. Then they would teach another group. After each iteration, teams debriefed and reviewed the feedback to revise their lessons and prepare for reteaching. Following the JLS process, TCs reflected on the impact of feedback in a post-survey that was analyzed, coded and aligned with their lesson iterations and revisions.FindingsBoth integrated language arts (ILA) and math TCs reported that receiving peer feedback improved their lessons, instructional materials, revisions and student engagement. Through collaboration, TCs valued peer dialog, multiple perspectives and TCs learned to provide and receive constructive feedback professionally. Overall, feedback and collaboration helped strengthen their lesson planning as they considered multiple perspectives. Feedback helped TCs consider differentiation and the diversity of learners as well as student engagement while building their professional knowledge.Originality/valueAlthough a previous study has shown an impact of JLS in ILA teacher-education courses with a broader scope in mathematics courses, this study focused on the JLS process in two teacher-education courses. Furthermore, current research tends to focus on the LS process, but this study focused specifically on TCs’ perceptions of the impact of feedback of their professional and instructional growth.
Mapping the intellectual structure of research on institutional investors’ behavior: a bibliometric analysis
Authors: Dhingra Barkha , Yadav Mahender 
Published: July 2024

Purpose
This study aims to analyze the existing body of knowledge concentrating on institutional investors’ behavior. It seeks to track how this domain has evolved through collaborative networks, as well as significant contributors, themes and research opportunities for future work.

Design/methodology/approach
The present study applies bibliometric analysis to examine the trends in the selected research field, using 446 articles from highly recognized journals indexed in the Scopus database.

Findings
The authors discovered that research on institutional investors’ behavior has significantly increased over the past four decades due to academic interest in the topic. This study observed five themes that unite the research in this field: institutional investors and corporate behavior; determinants of institutional investors’ trading patterns and performance; trading activity and its outcomes; herding, causes and consequences; and institutional investment and corporate performance. Moreover, future directions are penned down, such as how institutional investors’ control influences governance disclosures.

Originality/value
This study serves as a guide by mapping and analyzing the intellectual development of the research literature on institutional investors’ behavior. The authors contribute to the knowledge base by providing a solid foundation for further studies.
Analysis of efficiency and influencing factors of knowledge services in public libraries: the evidence from China
Authors: Jiaxuan Li , Xiuxiu Du , Jiewang Chu 
Published: July 2024

PurposeThe purpose of this study is to quantify and evaluate the efficiency of knowledge services public libraries (PLKS) in China and to analyze the factors affecting the efficiency of PLKS. The focus of this study is to explore the characteristics and changing trends of PLKS and how to improve the efficiency of PLKS. The conclusions drawn in this paper are expected to provide important references for academic research and practical exploration in related fields.Design/methodology/approachThis study constructs a three-stage process of PLKS. On this basis, the efficiency is analyzed by using the Super-NSBM model, and the influencing factors of PLKS are analyzed by using OLS. Finally, through the comprehensive interpretation of the measured data and the existing social development conditions, the authors put forward relevant recommendations.FindingsIn the first stage, the PLKS in China meets the basic requirements, but there is an obvious waste of resources in the second stage. In addition, China’s public libraries show obvious regional differences in knowledge service efficiency. Finally, it was found that economic and technological factors can increase the efficiency of PLKS, but the increase in the number of university students will reduce the efficiency of PLKS.Originality/valueIn this study, the authors provide an exhaustive deconstruction and explanation of PLKS, which leads to the proposal of a three-stage PLKS efficiency conversion process. Furthermore, the authors identify a diverse set of quantifiable metrics that are readily accessible for open collection. Notably, the authors correlated the efficiency of PLKS with the influencing factors, exploring PLKS from a new perspective and enriching the research related to PLKS.
Robust vision detection of pipeline solder joints
Authors: An Huijun , Kong Lingbao 
Published: July 2024

PurposeSolder joint inspection plays a critical role in various industries, with a focus on integrated chip (IC) solder joints and metal surface welds. However, the detection of tubular solder joints has received relatively less attention. This paper aims to address the challenges of detecting small targets and complex environments by proposing a robust visual detection method for pipeline solder joints. The method is characterized by its simplicity, cost-effectiveness and ease of implementation.Design/methodology/approachA robust visual detection method based on the characteristics of pipeline solder joints is proposed. With the improved hue, saturation and value (HSV) color space, the method uses a multi-level template matching approach to first segment the pipeline from the background, and then match the endpoint of the pipeline to accurately locate the solder joint. The proposed method leverages the distinctive characteristics of pipeline solder joints and employs an enhanced HSV color space. A multi-level template matching approach is utilized to segment the pipeline from the background and accurately locate the solder joint by matching the pipeline endpoint.FindingsThe experimental results demonstrate the effectiveness of the proposed solder joint detection method in practical detection tasks. The average precision of pipeline weld joint localization exceeds 95%, while the average recall is greater than 90%. These findings highlight the applicability of the method to pipeline solder joint detection tasks, specifically in the context of production lines for refrigeration equipment.Research limitations/implicationsThe precision of the method is influenced by the placement angle and lighting conditions of the test specimen, which may pose challenges and impact the algorithm's performance. Potential avenues for improvement include exploring deep learning methods, incorporating additional features and contextual information for localization, and utilizing advanced image enhancement techniques to improve image quality.Originality/valueThe proposed pipeline solder joint detection method offers a novel and practical approach. The simplicity, cost-effectiveness and ease of implementation make it an attractive choice for detecting pipeline solder joints in different industrial applications.
Patterns of constitutive and induced herbivore defence are complex, but share a common genetic basis in annual and perennial monkeyflower
Authors: Blanchard Megan L. , Lowry David B. , Holeski Liza M. 
Published: July 2024

Abstract

Despite multiple ecological and evolutionary hypotheses that predict patterns of phenotypic relationships between plant growth, reproduction and constitutive and/or induced resistance to herbivores, these hypotheses do not make any predictions about the underlying molecular genetic mechanisms that mediate these relationships.

We investigated how divergent plant life‐history strategies in the yellow monkeyflower and a life‐history altering locus, DIV1, influence plasticity of phytochemical herbivory resistance traits in response to attack by two herbivore species with different diet breadth.

Life‐history strategy (annual vs. perennial) and the DIV1 locus significantly influenced levels of constitutive herbivory resistance, as well as resistance induction following both generalist and specialist herbivory. Perennial plants had higher total levels of univariate constitutive and induced defence than annuals, regardless of herbivore type. Annuals induced less in response to generalist herbivory than did perennials, while induction response was equivalent across the ecotypes for specialist herbivory.

The effects of the DIV1 locus on levels of constitutive and induced defence were dependent on genetic background, the annual versus perennial haplotype of DIV1 and herbivore identity. The patterns of univariate induction due to DIV1 were non‐additive and did not always match expectations based on patterns of divergence for annual/perennial parents. For example, perennial plants had higher levels of constitutive and induced defence than did annuals, but when the annual DIV1 was present in the perennial genetic background induction response to herbivory was higher than for the perennial parent lines.

Patterns for multivariate defence arsenals generally echoed those of univariate, with annual and perennial monkeyflowers and those with alternative versions of DIV1 differing significantly in constitutive and induced resistance. Like univariate resistance, induced multivariate defence arsenals were affected by herbivore identity.

Our results highlight the complexity of the genetic mechanisms underlying plastic response to herbivory. While a genetic locus underlying substantial phenotypic variation in life‐history strategy and constitutive defence also influences defence plasticity, the induction response also depends on genetic background. This result demonstrates the potential for some degree of evolutionary independence between constitutive and induced defence, or induced defence and life‐history strategy, in monkeyflowers.

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Hospitals' collection and use of data to address social needs and social determinants of health
Authors: Richwine Chelsea , Meklir Samantha 
Published: July 2024

AbstractObjectiveTo assess differences in hospitals' collection and use of data on patients' health‐related social needs (HRSN) by availability of programs or strategies in place to address patients' HRSN and social determinants of health (SDOH) of communities.Data SourcesThe 2021 American Hospital Association Annual Survey and 2022 Information Technology (IT) Supplement.Study DesignThis cross‐sectional study described hospitals' engagement in screening and the availability of programs or strategies to address nine different HRSN. We assessed differences in screening rates and uses of data collected through screening among hospitals with and without programs or strategies in place to address HRSN or SDOH using Chi‐squared tests of independence.Data Collection/Extraction MethodsAnalyses were restricted to IT Supplement respondents with complete data for social needs questions asked in the Annual Survey (N = 1997).Principal FindingsIn 2022, hospitals used social needs data collected through screening for various purposes including discharge planning and clinical decision‐making at their hospital as well as to refer patients to needed resources and assess community‐level needs. Hospitals with a program or strategy in place had higher rates of screening across all domains and higher rates of using of data collected through screening for uses involving exchange or coordination with external entities.ConclusionsCollection of social needs data may help inform the development of programs or strategies to address HRSN and SDOH, which in turn can enable providers to screen for these needs and use the data in the near term for care delivery and in the long term to address community and population needs.