bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quality of life and depression in patients with Parkinson’s disease: effectiveness of group cognitive-behavioral therapy: a randomized controlled study
Authors: Delshadi Mohammad , Arjmand Hasan , Imannezhad Shima , Mostafavi Maryam , Mohammadi Yasaman , Naeim Mahdi 
Published: June 2024

Background:
Group cognitive-behavioral therapy has demonstrated its effectiveness in treating various psychological disorders. Nevertheless, there is insufficient evidence supporting its application in enhancing both the quality of life and depression among Parkinson’s patients. Consequently, this study was undertaken to examine the efficacy of group cognitive-behavioral therapy in ameliorating depression symptoms and enhancing the quality of life in individuals afflicted with Parkinson’s disease.

Materials and methods:
A randomized clinical trial with pre-test and post-test measurements, including a control group, was conducted. The sample consisted of individuals referred to Roozbeh Hospital in Tehran with Parkinson’s disease in 2023. Ninety participants were selected using convenience sampling and randomly assigned to either an experimental or a control group, with 45 participants in each. The experimental group received a three-month cognitive-behavioral therapy intervention consisting of 12 sessions of 90 min. Pre-test and post-test measures included the Beck Depression Questionnaire and the World Health Organization Quality of Life Questionnaire. Data analysis was performed using multivariate analysis of covariance (MANCOVA) in SPSS-25.

Results:
The results revealed a significant difference between the experimental and control groups in terms of depression and quality of life. The cognitive-behavioral therapy intervention significantly reduced depression and significantly improved the quality of life in individuals with Parkinson’s disease (P≤0.01).

Conclusion:
Group cognitive-behavioral therapy can be an effective approach for reducing depression and improving the quality of life in individuals with Parkinson’s disease. Therefore, therapists and healthcare providers can utilize cognitive-behavioral therapy to enhance the well-being of individuals with Parkinson’s disease.
Developing a Mental Health Screening Questionnaire in an Asian Children's Hospital Emergency Setting
Authors: Ang Siok Hoon , Tan Juliet Sher Kit , Lee Jia Hui , Marimuttu Vicknesan Jeyan , Lim Xin Yi , Teo Lois Ling'en , Edward Shannon Natasha , Teo Mavis , Lim Joyce Soo Ting , Ganapathy Sashikumar , Ang Angelina Su Yin 
Published: June 2024

Introduction
Mental health concerns among adolescents are increasingly prevalent, yet underrecognized. Adolescents with psychological distress often present to the emergency department (ED) with somatic symptoms. Due to inadequate time for rapport building and lack of familiarity of ED clinicians with psychosocial evaluation, these concerns often get missed. We describe the development and implementation of the Youth Well Being (YWB) questionnaire, a self-administered psychosocial screening tool that aims to overcome the communication barriers to psychosocial evaluation.

Methods
A multidisciplinary team used a Delphi-like approach to develop the questionnaire, using the home, education, activities/peers, drugs/alcohol, suicidality, emotions/behavior, discharge resources (HEADS-ED) questionnaire as the main reference. Modifications were made based on panel members' clinical experience and adapted to suit local sociocultural context. The YWB questionnaire is administered to adolescents aged 10 to 19 years presenting to the KK Women's and Children's Hospital ED with possible psychosomatic symptoms and behavioral or mental health issues. Positive findings prompt further targeted face-to-face interviews by the clinicians to facilitate appropriate psychosocial referral.

Results
The 9 domains in the YWB questionnaire explore potential psychosocial difficulties that affect the adolescent's well-being and aim to uncover potential issues that could account for the adolescent's symptoms. We discuss the rationale behind the questions and response options in the YWB questionnaire.

Conclusions
The YWB questionnaire is the first initiative in Singapore to enable efficient psychosocial screening of at-risk adolescents in the ED. This communication tool can potentially be used in other health care settings to enable early recognition and intervention for adolescents distressed by psychosocial problems.
Leveraging Science to Advance Health Equity: Preliminary Considerations for Implementing Health Equity Science at State and Local Health Departments
Authors: Ottewell Ashley , Ruebush Elizabeth , Hayes Locola , Harper-Hardy Paris , Lewis Melissa , Lane J.T. , Bunnell Rebecca 
Published: June 2024

Context:
In 2021, the Centers for Disease Control and Prevention (CDC) launched CORE, an agency-wide strategy to embed health equity as a foundational component across all areas of the agency’s work. The CDC established a definition of health equity science (HES) and principles to guide the development, implementation, dissemination, and use of the HES framework to move beyond documenting inequities to investigating root causes and promoting actionable approaches to eliminate health inequities. The HES framework may be used by state and local health departments to advance health equity efforts in their jurisdictions.

Objective:
Identify implementation considerations and opportunities for providing technical assistance and support to state and local public health departments in advancing HES.

Design:
A series of implementation consultations and multi-jurisdictional facilitated discussions were held with state and local health departments and community partners in 5 states to gather feedback on the current efforts, opportunities, and support needs to advance HES at the state and local levels. The information shared during these activities was analyzed using inductive and deductive methods, validated with partners, and summarized into themes and HES implementation considerations.

Results:
Five themes emerged regarding current efforts, opportunities, and support needed to implement HES at state and local health departments. These themes included the following criteria: (1) enhancing the existing health equity evidence base; (2) addressing interdisciplinary public health practice and data needs; (3) recognizing the value of qualitative data; (4) evaluating health equity programs and policies; and (5) including impacted communities in the full life cycle of health equity efforts. Within these themes, we identified HES implementation considerations, which may be leveraged to inform future efforts to advance HES at the state and local levels.

Conclusion:
Health equity efforts at state and local health departments may be strengthened by leveraging the HES framework and implementation considerations.
Modified Killian Method for Flexible Nasopharyngoscopic Observation of the Hypopharynx: A Systematic Review and Meta-Analysis
Authors: Liao Yu-Ling , Chi Tai-Chieh , Kuo I-Chun , Yang Shih-Wei , Lin Wan-Ni , Hsin Li-Jen , Lee Yi-Chan 
Published: June 2024

Objective:
Flexible nasopharyngoscopy is a common procedure for evaluating the hypopharynx. The modified Killian method has been reported to enhance visualization during this examination. The aim of this study was to compare the visibility of the hypopharynx using conventional and modified Killian methods.

Methods:
A systematic literature search was conducted in PubMed, EMBASE, and the Cochrane Library to identify studies that compared the visibility of the hypopharynx using the 2 methods. Comprehensive meta-analysis software was used to analyze the data. Studies that evaluated the overall hypopharyngeal visibility score and the visibility of the pyriform sinus, postcricoid region, and upper esophageal sphincter were included.

Results:
Five studies were included in the analysis. The pooled results showed that the modified Killian method significantly improved overall visibility score (SMD=1.09; 95% CI, 0.39–1.80) and complete visibility of the pyriform sinus, postcricoid region, and upper esophageal sphincter (log OR=3.83; 95% CI, 2.30–5.35; log OR=4.20; 95% CI, 3.21–5.19; log OR=3.38; 95% CI, 1.68–5.08).

Conclusion:
The modified Killian method is a valuable technique for improving hypopharyngeal visibility during flexible nasopharyngoscopy. This technique can enhance the detection of potential abnormalities or lesions, leading to better diagnostic accuracy and improved patient outcomes.
Faecalibacterium taiwanense sp. nov., isolated from human faeces
Authors: Liou Jong-Shian , Zhang Wei-Ling , Hsu Li-Wen , Chen Chih-Chieh , Wang Yu-Ting , Mori Koji , Hidaka Kohei , Hamada Moriyuki , Huang Lina , Watanabe Koichi , Huang Chien-Hsun 
Published: June 2024

Two Gram-stain-negative, straight rods, non-motile, asporogenous, catalase-negative and obligately anaerobic butyrate-producing strains, HLW78T and CYL33, were isolated from faecal samples of two healthy Taiwanese adults. Phylogenetic analyses of 16S rRNA and DNA mismatch repair protein MutL (mutL) gene sequences revealed that these two novel strains belonged to the genus Faecalibacterium. On the basis of 16S rRNA and mutL gene sequence similarities, the type strains Faecalibacterium butyricigenerans AF52-21T(98.3–98.1 % and 79.0–79.5 % similarity), Faecalibacterium duncaniae A2-165T(97.8–97.9 % and 70.9–80.1 %), Faecalibacterium hattorii APC922/41-1T(97.1–97.3 % and 80.3–80.5 %), Faecalibacterium longum CM04-06T(97.8–98.0% and 78.3 %) and Faecalibacterium prausnitzii ATCC 27768T(97.3–97.4 % and 82.7–82.9 %) were the closest neighbours to the novel strains HLW78T and CYL33. Strains HLW78T and CYL33 had 99.4 % both the 16S rRNA and mutL gene sequence similarities, 97.9 % average nucleotide identity (ANI), 96.3 % average amino acid identity (AAI), and 80.5 % digital DNA–DNA hybridization (dDDH) values, indicating that these two strains are members of the same species. Phylogenomic tree analysis indicated that strains HLW78T and CYL33 formed an independent robust cluster together with F. prausnitzii ATCC 27768T. The ANI, AAI and dDDH values between strain HLW78T and its closest neighbours were below the species delineation thresholds of 77.6–85.1 %, 71.4–85.2 % and 28.3–30.9 %, respectively. The two novel strains could be differentiated from the type strains of their closest Faecalibacterium species based on their cellular fatty acid compositions, which contained C18 : 1
ω7c and lacked C15 : 0 and C17 : 1
ω6c, respectively. Phenotypic, chemotaxonomic and genotypic test results demonstrated that the two novel strains HLW78T and CYL33 represented a single, novel species within the genus Faecalibacterium, for which the name Faecalibacterium taiwanense sp. nov. is proposed. The type strain is HLW78T (=BCRC 81397T=NBRC 116372T).
B chromosome and its non-Mendelian inheritance inAtractylodes lancea
Authors: Hara Kazuya , Kikuchi Shinji , Inoue Misaki , Tsusaka Takahiro , Sakurai Miki , Tanabe Hideyuki , Shirasawa Kenta , Isobe Sachiko 
Published: June 2024

AbstractSupernumerary B chromosomes contribute to intraspecific karyotypic variation. B chromosomes have been detected in more than 2000 organisms; they possess unique and diverse features, including non-Mendelian inheritance. Here we report one or more B chromosomes in the gynodioecious plant,Atractylodes lancea. Among 54A. lancealines, 0–2 B chromosomes were detected in both hermaphroditic and female plants, with the B chromosomes appearing as DAPI-bright regions within the nuclei. Genomicin situhybridization revealed that the B chromosomes had no conserved A chromosome DNA sequences, which was confirmed by fluorescencein situhybridization probed with independently dissected B chromosomes. In male meiosis, the B chromosome did not pair with an A chromosome and was therefore eliminated; accordingly, only 20.1% and 18.6% of these univalent B chromosomes remained at the end of meiosis for the 1B lines of KY17-148 and KY17-118, respectively. However, we also found that B chromosomes were transmitted from male parents in 40.8%–44.2% and 47.2% of the next generation; although these transmission rates from male parents were not essentially different from Mendelian inheritance (0.5), the transmission of gametes carrying B chromosomes increased through fertilization or seed development. B chromosomes were transmitted from three of four 1B female parents to 64.3%–92.6% of the next generation, suggesting B chromosome accumulation. We propose that the B chromosome ofA. lanceahas a specific sequence and persists via non-Mendelian inheritance from female parents. Overall,A. lanceais a useful material for understanding the structure, evolution, and mechanism of non-Mendelian inheritance of B chromosomes.
SwiftTCR: Efficient computational docking protocol of TCRpMHC-I complexes using restricted rotation matrices
Authors: Parizi Farzaneh M. , Aarts Yannick J. M. , Eerden Sanna , Ramakrishnan Gayatri , Xue Li C 
Published: June 2024

AbstractThe T cell’s ability to discern self and non-self depends on its T cell receptor (TCR), which recognizes peptides presented by MHC molecules. Understanding this TCR-peptide-MHC (TCRpMHC) interaction is important for cancer immunotherapy design, tissue transplantation, pathogen identification, and autoimmune disease treatments. Understanding the intricacies of TCR recognition, encapsulated in TCRpMHC structures, remains challenging due to the immense diversity of TCRs (>10^8/individual), rendering experimental determination and general-purpose computational docking impractical. Addressing this gap, we’ve developed a rapid integrative modeling protocol leveraging unique docking patterns in TCRpMHC complexes. Built upon PIPER, our pipeline significantly cuts down FFT rotation sets, exploiting the consistent polarized docking angle of TCRs at pMHC. Additionally, our ultra-fast structure superimposition tool, GradPose, accelerates clustering. It models a case in minutes, showcasing a 25 times speedup compared to ClusPro/PIPER. On a benchmark set of 38 TCRpMHC-I complexes, our protocol outperforms the state-of-the-art docking tools in model quality. This protocol can potentially provide structural information to TCR repertoires targeting specific peptides. Its computational efficiency can also enrich existing pMHC-specific single-cell sequencing TCR data, facilitating the development of structure-based deep learning (DL) algorithms. These insights are essential for understanding T cell recognition and specificity, advancing the development of therapeutic interventions.
Pseudo batch transformation: A novel method to correct for mass removal through sample withdrawal of fed-batch fermentations
Authors: Hesselberg-Thomsen Viktor , Groves Teddy , McCubbin Tim , Martínez-Monge Iván , de Mas Igor Marín , Nielsen Lars Keld 
Published: June 2024

AbstractSummaryWe present a novel “pseudo batch” transformation algorithm that maps analytical data obtained for fed-batch bioreactor cultivations onto a constant volume batch process, significantly decreasing the complexity of characterizing the fed-batch process.Availability and implementationOur method is implemented in both Excel and Python and is available with tutorials and example data fromhttps://github.com/biosustain/pseudobatch. The Python package is also available on PYPI under the name “pseudobatch”.ContactLars Keld Nielsen, e-mail:lars.nielsen@uq.edu.auSupplementary informationA comprehensive explanation of the simulated fed-batch, parameter estimation procedures, and the Bayesian model can be found in supplementary information (S1-S5).
Machine Learning Models for Cardiovascular Disease Prediction: A Comparative Study
Authors: Yan Chao , Xing Yiluan , Liu Sensen , Gao Erdi , Wang Jinyin 
Published: June 2024

AbstractCardiovascular diseases (CVDs) pose a significant threat to global public health, affecting individuals across various age groups. Factors such as cholesterol levels, smoking, alcohol consumption, and physical inactivity contribute to their onset and progression. Enhancing our understanding of CVD etiology and informing targeted interventions for disease prevention and management remains a critical challenge. In this study, we address the task of predicting the likelihood of individuals developing CVDs using machine learning techniques. Specifically, we explore three approaches: the k-nearest neighbors (KNN) algorithm, logistic regression, and the random forest algorithm. Leveraging a comprehensive dataset sourced from Kaggle, encompassing 11 relevant factors, we conduct a series of experiments to identify the most influential predictors of CVDs. Our analysis aims not only to forecast disease occurrence but also to elucidate the primary determinants contributing to its manifestation. Through comparative analysis of the three methodologies, we demonstrate that the random forest algorithm exhibits superior performance in terms of predictive accuracy. This research represents a significant step towards leveraging machine learning techniques to enhance our understanding of CVD dynamics and inform targeted interventions for disease prevention and management.
Flavonoids as anxiolytics in animal tests: Bibliometry and meta-analysis of the effects of flavonoids on anxiety-like behavior in animal tests
Authors: Machado Jhenify Albuquerque , Araújo Danilo Brandão , Lima-Maximino Monica , de Siqueira-Silva Diógenes Henrique , Tomchinsky Bernardo , Cueto-Escobedo Jonathan , Rodríguez-Landa Juan Francisco , Maximino Caio 
Published: June 2024

AbstractAbstract FigureFlavonoids are natural secondary compounds of plants with a basic composition derived from polyphenols that can produce a plethora of different neurochemical effects, some of which are relevant to anxiety disorders. As such, many flavonoids have been evaluated in behavioral screens in preclinical research on anxiolytics. Given the many different molecular subclasses of flavonoids, the many different molecular targets that have been proposed for these compounds, and the different research priorities that arise in preclinical research, we sought to map the potential of flavonoids as anxiolytics by bibliometric analysis and a meta-analysis of animal tests using these compounds. Bibliometric analysis suggest that the field is highly concentrated on few research groups that are mostly located in the Global South, suggesting the need to improve international collaborations. The themes which emerged in the bibliometric analysis are driven by the exploratory steps of pharmacological research, including finding anxioselective effects and looking for dose-response patterns; this suggests that the field, as a whole, could benefit from more mechanistic and confirmatory research. The meta-analysis showed strong evidence for an anxiolytic-like effect of flavonoids on animal tests, including assays made in rats, mice, and zebrafish (SMD = -1.4398, 95%CI[-1.7319, - 1.1477]). Subgroup analysis suggested that this effect is present in acute treatment (SMD = -1.14, 95%CI[-1.36, -0.93]), but not after chronic treatment (SMD = -1.96, 95%CI[-4.93; 1.01]). For all molecule subclasses included in the study, only isoflavones, glycoside derivatives, and flavanolignans did not show evidence of an anxiolytic-like effect, although the low number of studies including these subclasses is low. We finish with a set of recommendations for preclinical research on the anxiolytic potential of flavonoids.
BayesianOccam’s Razorto Optimize Metamodeling for Complex Biological Systems
Authors: Wang Chenxi , Zhao Jihui , Zheng Jingjing , Raveh Barak , He Xuming , Sun Liping 
Published: June 2024

AbstractModeling complex biological systems necessitates the integration of vast and multifaceted information spanning various aspects of these systems, and is expected to yield more insights into the system than any of the inputs. Metamodeling, a specialized form of integrative modeling, addresses this by integrating existing models. Developing and optimizing metamodels pose challenges due to the complexities introduced by diverse input models and their inherent uncertainties. In this study, we employ Bayesian formalism to rigorously analyze the propagation of probability throughout the metamodeling process and propose quantitative assessments for it. Building on this, we introduce a method for optimizing metamodeling that adheres to the BayesianOccam’s razorrationale, by (i) minimizing model uncertainty; (ii) maximizing model consistency; and (iii) reducing model complexity. To illustrate the benefits of this method, we apply it to the dynamic system of glucose-stimulated insulin secretion in pancreaticβ-cells. The optimized metamodel delivers more accurate estimates of impairedβ-cell dynamics and function in T2D subjects compared to the non-optimized one, underscoring the critical role of optimization in enhancing both model reliability and applicability. This method is implemented through theIntegrative Modeling Platform(IMP), facilitating the development of accurate, precise, and sufficiently simple models for a variety of complex systems.
Stochastic tug-of-war among sarcomeres mediates cardiomyocyte response to environmental stiffness
Authors: Haertter Daniel , Hauke Lara , Driehorst Til , Nishi Kengo , Zimmermann Wolfram-Hubertus , Schmidt Christoph F. 
Published: June 2024

AbstractCardiac muscle function emerges from the coordinated contraction of sarcomeres in cardiomyocytes. Sarcomere dynamics are usually inferred from whole-cell or myofibril observations, assuming synchronized, uniform behavior. Here, we investigated how different mechanical properties of the cell environment affect contraction at both the sarcomere and cell level. Human induced pluripotent stem cell-derived cardiomyocytes with fluorescently labeled Z-bands were cultured individually on patterned elastic substrates (5 - 85 kPa). Sarcomere dynamics were precisely tracked and analyzed using SarcAsM, a machine learning algorithm we developed. Increasingly stiff substrates inhibited overall cardiomyocyte contraction, but, surprisingly, did not diminish individual sarcomere dynamics. Instead, sarcomeres competed in a tug-of-war with increasing heterogeneity, exhibiting rich dynamic phenomena such as rapid length oscillations and overextensions (popping). Statistical analysis showed that the heterogeneous dynamics were not caused by static structural differences, but were largely stochastic. This stochastic heterogeneity is thus an intrinsic property of cardiac sarcomere dynamics and is likely to be crucial for the adaptation of emergent cardiomyocyte contractility to mechanical constraints from its environment.