bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mechanistic Insights into the Stimulation of the Histone H3K9 Methyltransferase Clr4 by Proximal H3K14 Ubiquitination
Authors: Du Yunxiang , Sun Maoshen , Li Zhengqing , Wu Xiangwei , Qu Qian , Ai Huasong , Liu Lei 
Published: September 2024

ABSTRACTH3K9 methylation is an evolutionarily conserved hallmark of heterochromatin and plays crucial roles in chromosome segregation, genome stability, and gene expression regulation. Clr4 is the sole histone methyltransferase responsible for catalyzing H3K9 methylation inSchizosaccharomyces pombe. Clr4 K455/K472 automethylation and histone H3K14 ubiquitination (H3K14Ub) are vital activators of the catalytic activity of Clr4, ensuring appropriate heterochromatin deposition and preventing deleterious gene silencing. While the mechanism by which automethylation activates Clr4 was recently elucidated, the mechanism of the significantly pronounced stimulatory effect of H3K14Ub on Clr4 remains unclear. Here we determined the crystal structures of Clr4 bound to ubiquitinated and unmodified H3 peptides at resolutions of 2.60 Å and 2.39 Å, respectively. Our structures reveal a synergistic mechanism underlying the stronger stimulatory effect by H3K14Ub compared to automethylation: site-specific ubiquitination constrained by the H3K14 linkage increases substrate affinity through multivalent interactions between ubiquitin and Clr4. Additionally, H3K14Ub facilitates the allosteric transition of Clr4 from an inactive apo conformation to a hyperactive “catalyzing state”, accompanied by conformational changes in the αC-SET-insertion (SI) region, complete release of the autoregulatory loop (ARL), and retraction of the β9/10 loop. Finally, we propose a structural model for the Clr4 catalytic-regulatory cycle, depicting varying levels of conformational regulation mediated by automethylation and ubiquitination. This work provides structural insights into the interplay between different histone modifications and their collective impact on epigenetic regulation.
A Bibliometric Analysis of Research Hotspots and Frontiers in Diabetes and Cardiovascular Disease Comorbidity from 2005 to 2024
Authors: Wang Jingjin , Su Tianyuan , Li Yunlong , Su Yinxia , Li Yukai 
Published: September 2024

AbstractNearly two decades ago, diabetes mellitus (DM) and cardiovascular disease (CVD) emerged as major global health threats, with research interest steadily increasing. Despite ongoing in-depth studies in the DM+CVD field, a systematic analysis of overall development trends and future hotspots remains lacking. This study employs bibliometric methods, utilizing CiteSpace and VOSviewer software to analyze and visualize 5,505 DM+CVD-related publications from 2005 to May 2024. The findings reveal a rapid growth trend in the field, with publications peaking at 751 in 2022, and the United States and China as major contributing countries. Keyword analysis identifies research hotspots including oxidative stress, insulin resistance, and heart failure. Highly cited literature analysis shows that the relationship between DM+CVD and obesity, disease mechanisms, treatment strategies, lifestyle interventions, and novel drugs are primary research themes. Analysis of highly cited literature from the past three years indicates that the application of SGLT2 inhibitors and GLP-1 receptor agonists, the association between metabolic abnormalities and DM+CVD, precise management of heart failure and cardiomyopathy, and in-depth epidemiological studies are current and future research priorities. This study not only reveals research hotspots and development trends in the DM+CVD field but also provides important references for optimizing research resource allocation and promoting multidisciplinary collaboration.
The Association Between Estimated Glomerular Filtration Rate and Left Ventricular Function in Children With Chronic Kidney Disease
Authors: Dalpathadu Heshini , Wade Andrew , Greenway Steven 
Published: September 2024

ABSTRACTBackgroundCardiovascular disease is the leading cause of morbidity and mortality in pediatric patients with chronic kidney disease (CKD). However, the kidney-heart relationship in this population remains poorly understood, particularly in the context of dialysis modality and duration. This study aims to investigate the associations between estimated glomerular filtration rate (eGFR), left ventricular ejection fraction (LVEF), left ventricular (LV) mass, and dialysis modality and duration in pediatric CKD patients.MethodsThis retrospective study included 16 pediatric CKD patients (median age 3.6 years; 31.3% female and 68.75% male), stratified by the presence of cardiac dysfunction (LVEF ≤ 50%). Clinical data, including eGFR, LVEF, LV mass, and dialysis history (hemodialysis or peritoneal dialysis), were collected. Independent T-tests, Wilcoxon Two-Sample tests, and Spearman’s correlations were performed to assess renal and cardiac function relationships. Multivariate regression models were employed to evaluate predictors of LVEF over time.ResultsCardiac dysfunction was observed in 25% of the cohort, with significantly lower LVEF and fractional shortening compared to those without dysfunction. Patients with cardiac dysfunction were younger at CKD diagnosis (p < 0.0001), suggesting an earlier progression of renal and cardiac impairment. Following dialysis, eGFR significantly decreased in patients without cardiac dysfunction (p < 0.0001) but remained unchanged in those with dysfunction. Conversely, LVEF improved post-dialysis in patients with cardiac dysfunction (p = 0.0034) but remained stable in those with normal cardiac function. Prolonged dialysis duration was negatively correlated with eGFR (r = –0.31, p = 0.008) and LV mass (r = –0.26, p = 0.024). Hemodialysis duration was positively correlated with LVEF (r = 0.73, p < 0.001), suggesting potential cardiovascular benefits from prolonged hemodialysis treatment.ConclusionsPediatric CKD patients, particularly those with cardiac dysfunction, experience significant alterations in both renal and cardiac parameters, requiring tailored dialysis strategies in this population.
Explainable Artificial Intelligence to Diagnose Early Parkinson’s Disease via Voice Analysis
Authors: Shen Matthew , Mortezaagha Pouria , Rahgozar Arya 
Published: September 2024

AbstractBackgroundParkinson’s disease (PD) is a progressive neurodegenerative disorder that affects motor control, leading to symptoms such as tremors or impaired balance. Early diagnosis of PD is crucial for effective treatment, yet traditional diagnostic models are often costly and lengthy. This study explores the use of Artificial Intelligence (AI) and Machine Learning (ML) techniques, particularly voice analysis, to identify early signs of PD and make a precise diagnosis.ObjectivesThis paper aims to create an automatic detection and prediction of PD binary classification using vocal biomarkers. We will also use explainability to identify latent and important patterns in the input data in retrospect to the target to inform the definition of Parkinson’s through voice characteristics. Finally, a probability generation will be generated to create a scoring system of a patient’s odds of PD as a spectrum.MethodsWe utilized a dataset comprising 81 voice recordings from both healthy control (HC) and PD patients, applying a hybrid AI model combining Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Multiple Kernel Learning (MKL), and Multilayer Perceptron (MLP). The model’s architecture was designed to extract and analyze acoustic features such as Mel-Frequency Cepstral Coefficients (MFCCs), local jitter, and local shimmer, which are all indicative of PD-related voice impairments. Once features are extracted, the AI model will generate prediction labels for HC or PD files. Then, a scoring system will assign a number ranging from 0-1 to each file, indicating the stage of PD development.ResultsOur champion model yielded the following results: diagnostic accuracy of 91.11%, recall of 92.50%, precision of 89.84%, an F1 score of 0.9113, and an area under curve (AUC) of 0.9125. Furthermore, the use of SHapley Additive exPlanations (SHAP) provided detailed insight into the model’s decision-making process, highlighting the most influential features contributing to a PD diagnosis. The outcomes of the implemented scoring system demonstrate a distinct separation in the probability assessments for PD across the 81 analyzed audio samples, validating our scoring system by confirming that the vocal biomarkers in the audio files accurately correspond with their assigned scores.ConclusionThis study highlights the efficacy of AI, particularly a hybrid model combining CNN, RNN, MKL, and Deep Learning in diagnosing early PD through voice analysis. The model demonstrated a robust ability to distinguish between HC and PD patients with significant accuracy by leveraging key vocal biomarkers such as MFCCs, jitter, and shimmer.
Concentration-dependent formation of intersegment interactions in viral droplets of influenza A virus infected cells
Authors: Takizawa Naoki , Higashi Koichi , Kawaguchi Risa Karakida , Gotoh Yasuhiro , Hayashi Tetsuya , Kurokawa Ken 
Published: September 2024

AbstractThe influenza A virus genome consists of eight RNA segments, each incorporated into a virion. It has been proposed that intersegment interactions bundle these segments, and viral inclusions, which contain viral ribonucleoproteins (vRNPs) and Rab11, facilitate this process. However, the locations and mechanisms of intersegment interaction formation remain unclear. To investigate this, we identified comprehensive intersegment interactions in infected cells using customized LIGR-seq. Our results revealed that intersegment interactions in infected cells overlapped with those in the virion and were partially formed through direct RNA-RNA interactions. Additionally, we found that the formation of these interactions was delayed in cells expressing a Rab11 dominant-negative. Furthermore, artificially increasing vRNP concentrations in the nucleus, where intersegment interactions typically do not occur, triggered the formation of these interactions, which again overlapped with those in the virion. These results suggest that intersegment interactions are formed in viral inclusions where progeny vRNPs accumulate.
HPL-2/HP1 and MET-2/SETDB1 bind distinct co-factors that promote heterochromatic foci, gene repression and organogenesis independently of H3K9 methylation
Authors: Delaney Colin E. , You Jia Emil , Gasser Susan M. , Padeken Jan , Mango Susan E. 
Published: September 2024

AbstractHistone post-translational modifications (PTMs) promote genome segregation into heterochromatin and euchromatin by recruiting reader proteins, including HP1 proteins that bind repressive H3 lysine 9 methylation (H3K9me). However, recent studies suggest that H3K9me readers and writers also have PTM-independent activities. Here we examine the PTM-independent roles of the key H3K9 methyltransferase, MET-2/SETDB1, and theC. elegansHP1 orthologue, HPL-2, in organogenesis. The two factors co-localize in sub-nuclear foci independently of each other, and their combined loss additively disrupts gene repression and vulval organogenesis. HPL-2 remains functional in the absence of H3K9me, and HPL-2 lacking its H3K9me-binding chromodomain still localizes to heterochromatin foci, restricting vulva formation and repressing developmental genes. While MET-2 requires the disordered protein LIN-65 to form foci and silence genes, HPL-2 functions together with LIN-13, which is bound through HPL-2’s chromoshadow domain. In conclusion, HPL-2 and MET-2 repress in parallel on largely H3K9me-independent pathways, requiring distinct cofactors; while H3K9me reinforces both.
Analysis on dynamic characteristics of dam material and seismic response of embankment dam in Longyang Reservoir
Authors: Guo Peng-fei , Hou Tian-shun , Wang Ya-chuan 
Published: September 2024

PurposeThe geological conditions of Longyang Reservoir are complex and it is located in strong earthquake area. In order to determine its seismic characteristics, the seismic response and residual deformation of embankment dam should be studied to provide calculation basis for dam design and construction.Design/methodology/approachBased on the geological survey data of Longyang Reservoir, the dam filling materials are tested by dynamic deformation tests, and the equivalent linear constitutive model parameters of the filling materials are obtained. Based on Duncan-Chang E-B model, the stress state of embankment dam in Longyang Reservoir before earthquake is calculated, and the dynamic response and earthquake residual deformation of embankment dam in Longyang Reservoir under earthquake condition are calculated by using equivalent linear model and Shen Zhu-jiang’s residual deformation model.FindingsThe results show that with the increase of dynamic shear strain, the dynamic shear modulus decreases and the damping ratio increases. The scatter plot between dynamic shear modulus and dynamic shear strain, and the scatter plot between damping ratio and dynamic shear strain under different confining pressures show strips. The calculation results shows that the acceleration of embankment dam in Longyang Reservoir increases with the increase of dam height, and the acceleration distribution has obvious amplification effect. Combined with the maximum dynamic shear strain during the earthquake and the state before the earthquake, the maximum vertical residual deformation of embankment dam in Longyang Reservoir is 2.98 cm which occurs at the top of the dam, calculated by the Shen Zhu-jiang’s residual deformation model.Originality/value Finite element calculation model parameters of embankment dam are obtained by dynamic triaxial tests. Seismic dynamic responses and residual deformation of embankment dam are analyzed. With the increase of dam height, the acceleration distribution shows an obvious amplification effect. The vertical displacement of embankment dam is larger along the dam axis and decreases in the upstream and downstream direction. The maximum horizontal displacement of embankment dam occurs in the middle of upstream and downstream dam slopes.Highlights(1)Finite element calculation model parameters of embankment dam are obtained by dynamic triaxial tests.(2)Seismic dynamic responses and residual deformation of embankment dam are analyzed.(3)With the increase of dam height, the acceleration distribution shows an obvious amplification effect.(4)The vertical displacement of embankment dam is larger along the dam axis and decreases in the upstream and downstream direction.(5)The maximum horizontal displacement of embankment dam occurs in the middle of upstream and downstream dam slopes.
Examining the impact of online service convenience on user engagement and intention to continuously use e-resources: mediating role of attitude
Authors: Vandana Vandana , Kumar Sachin , Kumar Vinod 
Published: September 2024

Purpose
This study aims to analyze the mediating role of attitude in understanding the impact of online service convenience on user engagement and intention to continuously use e-resources. Five components of online service convenience have been adopted for the present study: These are access convenience, search convenience, evaluation convenience, transaction convenience and possession/ post-possession convenience.

Design/methodology/approach
A total of 500 PhD scholars and faculty members from two different states of India were approached to provide their responses through a structured questionnaire, which resulted in 224 complete responses. These responses were analyzed using structural equation modeling. The statistical analysis has been performed with the help of Smart-PLS 3.

Findings
The study findings have proven the proposed conceptual model by showing a significant relationship between all the variables. Furthermore, it has been identified that the attitude of the users also positively impacts intention to continuously use e-resources.

Originality/value
This study contributes to the literature on e-resources by providing implications for students, faculties, managers and society.
Constructing Ubudehe? Farmers’ perceptions of drought impacts and resilience capacities in Bugesera, Rwanda
Authors: Nzeyimana Lazare , Danielsson Åsa , Brodén-Gyberg Veronica , Andersson Lotta 
Published: September 2024

Purpose
This paper analyses Rwandan farmers’ perceptions of historical drivers of landscape vulnerability (past), current livelihood assets (present) and existing or potential capacities (future) to increase resilience to drought. The specific focus is on linking experiences from the past and present with ideas for a drought-resilient future. It explores how farmers' perceptions of past droughts and future visioning can contribute to rural development policy and multi-level collaborations.

Design/methodology/approach
This study was conducted in Bugesera, a drought-prone district in south-eastern Rwanda. Empirical data was collected through participatory observation, semi-structured interviews and focus groups. The analytical points of departure are based on sustainable landscapes and livelihood approaches, combining spatial and temporal perspectives on challenges and opportunities identified by farmers’ communities in addressing droughts.

Findings
All respondents had a high awareness of the impact of droughts. Perceived drivers of landscape change include historical climate events, such as droughts and floods, immigration and agricultural expansion, which have led to demographic pressure on land, deforestation and infringement on natural resources. Factors enhancing resilience capacities include access to diversified sources of livelihood, knowledge of appropriate irrigation techniques and availability of safety nets and credits. Furthermore, farmers identified collaborative opportunities as important for resilience capacity, including peer learning, and sharing best practices through knowledge exchange and on-field training. In addition, farmers brought up the need for innovative institutions that can facilitate access to markets and enable collaboration between different agricultural sectors.

Originality/value
This study analyses farmers’ perceptions of resilience capacities to droughts through a spatiotemporal lens of past droughts, present capital and future challenges by linking scales, knowledge and human–environment nexus. This paper contributes to the knowledge of climate adaptation in Rwanda and to discussions about smallholder farming in the literature on climate change adaptation.
One style does not fit all: the relationship of mediator behavioral adaptivity to mediator empowerment, efficacy, and satisfaction
Authors: Kugler Katharina G. , Coleman Peter T. 
Published: September 2024

Purpose
Prior research on the situated model of mediation has suggested that mediators’ abilities to be more flexible and adaptive in responding to potential derailers in mediation situations lead to better outcomes. The purpose if this paper is to build on this theory and research by developing a new scale of mediator behavioral adaptivity and investigating the hypothesized effects of mediator adaptivity on their sense of efficacy, empowerment and satisfaction when mediating.

Design/methodology/approach
The paper presents findings from two survey studies with currently active, experienced mediators.

Findings
The findings offer a new scale for the study of effective mediation – the mediator behavioral adaptivity scale – and offer support for the hypothesis that mediators reporting an ability to use more diverse behavioral tactics and strategies (both standard and specialized strategies) report higher levels of satisfaction with mediation outcomes as well as more self-efficacy and empowerment during mediations.

Research limitations/implications
These studies are both self-report and correlational and so should be supplemented by subsequent research using experimental methods and more objective measures of mediation outcomes.

Originality/value
The program of research extended in this paper offers a new integrative model of adaptive mediation, which aims to provide evidence-based guidelines for using different types of mediation strategies in categorically different conflict situations. The model can ultimately help the field transcend discussions of preferred or best mediation styles and focus instead on how distinct strategies offer different degrees of fit for different types of mediation challenges.
Investigate the distinctive link between a balanced scorecard and organizational performance in IT and non-IT sectors
Authors: Zairbani Abdulkader , Doddaullarthi Basavaraj Chetanraj , SriSai Velaga , Jaya Prakash Senthil Kumar , Anitha Kumari P. 
Published: September 2024

PurposeThe purpose of this research is to examine how the implementation of a balanced scorecard (BSC) affects business outcomes in both information technology (IT) and non-IT sectors.Design/methodology/approachPartial least squares structural equation modeling (PLS-SEM) was used to test the hypothesis. A random sample was used to collect 170 responses from the IT companies and 166 from non-IT companies by using the questionnaire method. The questionnaire was distributed to the top- and middle-level managers in Bangalore city, and we used SmartPLS software to explore the relationship between our research constructs.FindingsThe results of this study indicate that a BSC has a significant and positive impact on organizational performance in IT and non-IT sectors. The main distinction in this study is that all BSC perspectives [learning and growth perspective, internal business process (IBP) perspective, customer perspective (CP) and financial perspective (FP)] have a significant, direct and indirect impact on IT companies. On the other hand, solely three BSC perspectives (IBP perspective, CP and FP) have a significant impact on non-IT companies, while learning and growth perspective has an insignificant impact on the FP.Originality/valueThis study provides a critical theoretical and practical contribution of a BSC on business performance in IT and non-IT industries.