bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of growth hormone on cell proliferation and biological behavior of adamantinomatous craniopharyngioma cells
Authors: Xiong Zhiwei , Li Kai , Yu Milai , Wang Zijing , Wang Yihan , Chen Rongjun , Li Weizhao , Zhang Keying , Lin Yucong , Zhang Zhixuan , Li Danling , Peng Junxiang 
Published: April 2024

Abstract

Purpose: This study aims to investigate the impact of growth hormone therapy on the postoperative management of craniopharyngioma and to evaluate the direct influence of GH on craniopharyngioma.
Methods: The research involved the application of varying concentrations of growth hormone to stimulate and cultivate the ACP cell line. It focused on assessing the influence of growth hormone on the growth, proliferation, and apoptosis of ACP cells, and explored changes in transcription levels following growth hormone treatment of ACP cells through transcriptome sequencing. The results shed light on the effects and underlying mechanisms through which growth hormone impacts ACP cells.
Results: The CCK8 cell viability assay's results indicate that growth hormone stimulation does not significantly increase ACP cell proliferation. Furthermore, sequencing data analysis suggests that growth hormone does not promote the activation of pathways associated with craniopharyngioma proliferation. Immunofluorescence analysis confirmed the presence of GHR receptors on ACP cells. Moreover, flow cytometry experiments focusing on cell cycle and apoptosis in ACP cells show that growth hormone does not affect cell cycle progression or apoptosis.
Conclusion: The findings suggest that growth hormone can impact craniopharyngioma directly but it didn’t promote the growth of ACP..
In-situ atomic observations unveil the aggregation growth and evolution of five-fold twin structures
Authors: Song Miao , Zhang Dingri , Leng Dan , Lee Jaewon , Yang Ziang , Chen Jiaxuan , Li Dan , Wang Lei , Zhou Gang , Yang Rui , Zhou Kechao 
Published: April 2024

Abstract

The unique twin boundaries and inherent lattice strain of five-fold twin (5-FT) structures offer a promising and innovative approach to tune nanocrystal configurations and properties, enriching nanomaterial performance. However, due to constraints imposed by small thermodynamically stable size and complex twin configurations, gaps persist in understanding the nonclassical growth models of 5-FT nanoparticles. Here, we in-situ investigated the mechanisms underlying size-dependent and twin configuration-related aggregation growth phenomena between 5-FT and other nanoparticles at the atomic scale. The results find that surface diffusion shapes the morphology of aggregated nanoparticles, promoting symmetrical 5-FT formation, particularly involving smaller nanoparticles. Additionally, the inherent structure of 5-FT mitigates the dominance of surface diffusion in its morphological evolution, retarding the aggregation evolution process and fostering intricate twin structures. Our findings contribute to advancing our ability to manipulate the configuration of twinned particles and achieve a more predictable synthesis of novel functional nanomaterials for engineering applications.
Acanthopanax senticosus polysaccharides attenuates Klebsiella infection in immunocompromised mice by modulating immunity
Authors: Liang Zihan , Wang Yiyao , Zhang Jingyi , Lai Yixiang , Yin Lanlan , Chen Zhe , Li Lun , Zhou Yongqin , Deng Yaguang , Zhu Ping , Song Yinhong 
Published: April 2024

Abstract

Radiotherapy and chemotherapy compromise individuals’ immunity clinically, resulting in increased opportunistic infections. In this study, the cyclophosphamide-induced immunocompromised C57BL/6J mouse with Klebsiella infection was hired to analyze the effect of the active components of Acanthopanax senticosus on anti-infection for immunocompromised individuals. As a result, Acanthopanax senticosus polysaccharide (ASPS) was selected with the best effect. For immunocompromised C57BL/6J mouse, ASPS increased its indices of thymus and spleen, reducing the bacteria load in lung and protecting the function of liver. Meanwhile, ASPS obviously boosted the total number of thymocytes and the number of CD4+ T cells in spleen, promoting the proportions of CD4+ TCM and TEM cells, while decreasing that of CD4+ TEMRA cells in in peripheral blood. Moreover, ASPS enhanced the number of NF-κB+, CD192+ Mφ and NF-κB+ neutrophils in the abdomen and strengthened their antibacterial function, however, reduced the number of NF-κB+ Mφ and neutrophils in the spleen reducing inflammation. It is also observed by immunofluorescence that the NF-κB expression of peritoneal Mφ increased evidently after the mice were treated with ASPS. In conclusion, ASPS has an obvious effect against infection for immunocompromised mice by promoting immunity recovery.
The Mediating Role of Emotional Expressivity Between Differentiation of Self and Co-dependency among Couples: A Common Fate Mediation Model
Authors: Dokuzlar Şerifali , Özbiler Şerife , Schweer-Collins Maria , Isık Erkan 
Published: April 2024

Abstract

Bowen family systems theory provides an account of how the family of origin promotes intimate connections with others. The study tests the mediating role of emotional expressivity in the relationship between differentiation of self and co-dependency assessed in married couples. We used a common fate model to study the relationship among these variables in a sample of 176 Turkish heterosexual married couples (N = 352). Results showed that lower differentiation of self predicted greater co-dependency among couples. Emotional expressivity mediated this relationship between the differentiation of self and co-dependency. Implications of the findings were discussed.
Innovative Remediation of Oily Water Utilizing Environmentally Friendly Fish-Scale Biosorbents
Authors: Malhas Rana Nabil , Achkar Jean H. El , Misbah Biltayib , Alawadhi Abdullah 
Published: April 2024

Abstract

Oil-contaminated water poses a significant environmental threat, originating from various industrial processes. It is a hazard to ecosystems and various life forms. Scientists aim to create an inexpensive, straightforward, and environmentally friendly substance capable of effectively removing oil. The main target of this research is to test the feasibility of fish scale as oil biosorbent in oily water body. The experimental setup, utilizing both batch experiments and a packed column, comprehensively assesses the effectiveness of fish scales (FS) as sorbents. Potentiometric parameters, such as a 1000 mg adsorbent dose, 500 mg/L oil concentrations, and 60 minutes contact time at pH 7 with a 0.15 mm particle size, effectively evaluate oil extraction efficiency, achieving up to 95% removal, showcasing the remarkable capabilities of FS as a biosorbent. A higher efficiency of 97% was attained when the oil was mixed with seawater in the packed column. The excellent fit of experimental data with the pseudo-second order kinetic model suggests a chemisorption process. Additionally, the strong agreement with Freundlich isotherms in equilibrium isotherm results further supports the efficacy of FS as sorbents. The scalability of the method, as evidenced by the packed column results, is promising, indicating practical implementation potential in real-world scenarios. Overall, the study underscores the viability of using FS as an environmentally friendly and economical solution for oil removal from contaminated water and oil spills. Moreover, the potential for adaptation to other systems with different biosorbents or pollutants suggests broader applicability and future research opportunities in environmental remediation.
Homocysteine Promotes Intestinal Inflammation in Colitis Mice Through the PGE2/STAT3 Signaling Pathway
Authors: Shao Akang , Zhao Qiu , Chen Min 
Published: April 2024

Abstract

Background Our previous study indicated that Hcy exacerbated DSS-induced colitis by facilitating the differentiation of intestinal T helper cell 17 (Th17), but the precise mechanism remains unidentified. Therefore, our current research aims to elucidate the signaling pathway through which Hcy promotes the differentiation of Th17 cells.
Methods BALb/c mice were randomly assigned into six groups. The model of mice colitis was induced using 3% DSS, while the model of Hyperhomocysteinaemia was induced using 1.7% methionine. The concentrations of Hcy and prostaglandin E2 (PGE2) were measured using enzyme linked immunosorbent assay (ELISA). The protein expressions of cytosolic phospholipase A2 (cPLA2), phosphorylated-cPLA2 (p-cPLA2), cyclooxygenase 2 (COX2), cyclic adenosine monophosphate (cAMP), signal transducer and activator of transcription 3 (STAT3), phosphorylated-STAT3 (p-STAT3), interleukin 17A (IL-17A) and retinoid-related orphan nuclear receptor-γt (RORγt) were assessed using western blot analysis.
Results Compared to the DSS+HHcy group, the addition of the COX inhibitor did not significantly alter the protein expression of p-PLA2/PLA2, but led to significant decreases in serum PGE2 concentration, cAMP and p-STAT3/STAT3 protein expression. The protein expressions of p-PLA2/PLA2, COX2, and cAMP upstream of STAT3 inhibitor addition did not exhibit significant changes. However, PGE2 concentration and p-STAT3/STAT3 protein expression were notably reduced. After the COX inhibitor and STAT3 inhibitor added, the protein expression of IL-17A and RORγt and the levels of IL-17A and IL-23R in CD4+T cells were significantly reduced.
Conclusion HHcy aggravated DSS-induced colitis by promoting the differentiation and proliferation of Th17 cells through the PGE2 / STAT3 signaling pathway.
Structural barriers in the prevention and control of leptospirosis in a municipality in southern Brazil: a qualitative study
Authors: SILVA Suellen Caroline M. , BOHM Bianca C. , HAGE Ravena S. , SOARES Alessandra T. , LIGNON Julia S. , LIMA Jackeline V. , TELES Alessandra J. , ZILLMER Juliana Graciela V. , BRUHN Fábio Raphael P. 
Published: April 2024

Abstract
Background
This article aimed to describe the structural barriers to the prevention and control of leptospirosis in a municipality in southern Brazil.
Methodology
A qualitative approach, specifically a case study design, was employed in this study conducted within primary care, surveillance, and management settings of a municipality. Thirty-three workers were selected through purposive sampling, and semi-structured individual interviews were conducted from August 2022 to March 2023. Data analysis followed a thematic sequential approach managed using the Etnograph program. In this stage, five categories were constructed, describing barriers related to leptospirosis knowledge and prevention measures, lack of training, insufficient infrastructure, inadequate human resources, absence of information production, and changes in the notification protocol.
Results
Through the identification of barriers, it was possible to highlight local healthcare access bottlenecks, which impact the management of leptospirosis cases and control efforts.
Conclusions
While the results may not be representative of the entire national territory, they can serve as a starting point for further studies on leptospirosis, prompting inquiries into its impact in areas with high disease risk and fostering the development of interventions on a larger scale.
Comprehensive Assessment and Comparative Analysis of Deep Learning Models for Large-Scale Renewable Energy Power Generation Prediction: A National Perspective
Authors: Aksoy Necati , Genc Istemihan 
Published: April 2024

Abstract

In forecasting the future energy consumption and generation at the national level, strategic planning for both the medium and long term becomes imperative. The trajectory of renewable energy contribution to the smart grid, whether in the short or long term, significantly influences the grid's operational dynamics. This study is dedicated to the development of deep learning-based power prediction models tailored for a nation characterized by extensive reliance on renewable energy sources. Specifically, four distinct deep learning methodologies—namely,Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Bidirectional LSTM (Bi-LSTM), and Gated Recurrent Unit (GRU)—have been formulated and rigorously examined for their efficacy within this domain. These models have been individually tailored for the prediction of power generation from solar photovoltaic plants and wind turbines, leveraging the inherent advantages of architectures featuring memory cells. The outcomes of these predictive models, which encompass the entire spectrum of renewable energy sources, exhibit remarkable precision. Furthermore, an exhaustive analysis of the performance metrics derived from these models has been conducted, affording a comprehensive and nuanced comparison. The findings contribute valuable insights into the suitability and effectiveness of the aforementioned deep learning methodologies in forecasting power generation from renewable sources at a national scale.
Generative AI To Recognize Response Fabrication in PTSD
Authors: Chattopadhyay Ishanu , Lee Royce , Evans James , Brook Michael , Gibbons Robert 
Published: April 2024

Abstract

Fabricating symptoms of Post-Traumatic Stress Disorder (PTSD) can hinder accurate clinical assessments via structured diagnostic interviews1,2. Symptom simulation or fabrication is a known problem3,4 in PTSD assessments, with diverse motivations including unmet mental health issues, varied socio-economic factors and the potential for external gain from positive diagnoses. Here we introduce an artificial intelligence (AI) framework referred to as Algorithm VeRITAS (Vetting Response Integrity from cross-Talk in Adversarial Surveys), for detecting symptom fabrication in the context of PTSD diagnosis. In contrast to current approaches to fabrication detection which indirectly assess atypical symptom presentations, and have limited reliability, VeRITAS infers statistical dependencies inherent in true response patterns, flagging responses which violate these subtle constraints. With a study sample of n = 651 patients, VeRITAS has an Area Under the Curve (AUC) of ≧ 0:95 ± 0:02, with sensitivity > 95%, specificity > 88%, and positive likelihood ratio between 9:9 - 19:77. Additionally, VeRITAS is difficult-to-impossible to beat with coaching or training; we demonstrate that having advanced training in mental health diagnosis is not helpful in defeating the algorithm. Our tool offers an objective, diseasespecific, fast (average time ≦ 4 min) detection of simulated or feigned PTSD, and on wider adoption, can potentially help resources and disability concessions reach those genuinely in need, while helping to maintain integrity of clinical data. Moreover, reliably identifying patients who might be fabricating symptoms due to unmet mental health needs or socio-economic compulsions can ultimately improve outcomes in disadvantaged communities.
Exploring Variation in the Six-Month Review for Stroke Survivors: A National Survey of Current Practice in England
Authors: Holmes Rich , Ackerley Suzanne , Fisher Rebecca J , Connell Louise A 
Published: April 2024

Abstract

Background: The Six-Month Review (6MR) was introduced in the United Kingdom to provide a holistic, systematic review of the ongoing needs faced by stroke survivors. However, a theoretical underpinning regarding how it should work is lacking, potentially leading to wide variation in service provision. This study aims to understand the current degree of variation in 6MR delivery across England and explore the potential driving factors.
Methods: A cross-sectional study was conducted via an online survey distributed to 6MR services within England. Data were collected over 12 weeks in 2023. Descriptive statistics were used to demonstrate the degree of variation in service delivery, and associations were explored between features of the 6MR service and contextual factors.
Results: Ninety-two responses were received, representing approximately 53% of 6MR services in England. Wide variation was observed in relation to service structure, content and processes, and in how outcomes, experience and effectiveness are measured. A number of significant associations were observed between features of the 6MR and contextual factors, most commonly, in relation to the provider organisation.
Conclusions: This study highlights the degree of variation in 6MR delivery across England. The provider organisation may be a driving factor for this variation that warrants further investigation. Future research should focus on understanding how, and under what circumstances, the 6MR works so that its effectiveness can be evaluated and best practice established.
Personalized Evaluation of the Passive Myocardium in Ischemic Cardiomyopathy via Computational Modeling Using Bayesian Optimization
Authors: Torbati Saeed , Daneshmehr Alireza , Pouraliakbar Hamidreza , Asgharian Masoud , Tafti Seyed Hossein Ahmadi , Shum-Tim Dominique , Heidari Alireza 
Published: April 2024

Abstract

Biomechanics-based patient-specific modeling is a promising approach that has proved invaluable for its clinical potential to assess the adversities caused by ischemic heart disease (IDH). In the present study, we propose a framework to find the passive material properties of the myocardium and the unloaded shape of cardiac ventricles simultaneously in patients diagnosed with ischemic cardiomyopathy (ICM). This was achieved by minimizing the difference between the simulated and target end-diastolic pressure-volume relationships (EDPVRs) using black-box Bayesian optimization, based on the finite element analysis (FEA). End-diastolic (ED) biventricular geometry and the location of the ischemia were determined from cardiac magnetic resonance (CMR) imaging. We employed our pipeline to model the cardiac ventricles of three patients aged between 57 and 66 years, with and without the inclusion of valves. An excellent agreement between the simulated and target EDPVRs has been reached. Our results revealed that the incorporation of valvular springs typically leads to lower hyperelastic parameters for both healthy and ischemic myocardium, as well as a higher fiber Green strain in the viable regions compared to models without valvular stiffness. Furthermore, the addition of valve-related effects did not result in significant changes in myofiber stress after optimization. We concluded that more accurate results could be obtained when cardiac valves were considered in modeling ventricles. The present novel and practical methodology paves the way for developing digital twins of ischemic cardiac ventricles, providing a non-invasive assessment for designing optimal personalized therapies in precision medicine.
Research Trends and Hotspots of the Applications of Single-cell RNA Sequencing in Cardiovascular Diseases: A Bibliometric and Visualized Study
Authors: Yu Yue , Ye Juan , Wang Rubing , Wang JingJing , Wang Junnan , Xu Qiumeng , Wang Pei , Wang Bei , Zhang Yufeng 
Published: April 2024

Abstract
Background: Cardiovascular diseases (CVDs) are the leading causes of death globally. The use of single-cell RNA sequencing (scRNA-seq) in CVDs has gained significant attention in recent years, and there is a growing body of literature on the subject. However, a thorough and impartial analysis of the existing state and trends of scRNA-seq in CVDs is lacking. This study aims to examine the development of scRNA-seq in CVDs using bibliometric and visualized analysis.
Methods: Global publications on scRNA-seq and CVDs from 2009 to 2023 were extracted from the Web of Science Core Collection (WoSCC) database. The R package "Bibliometrix", VOSviewer, and CiteSpace were employed to perform a bibliometric study.
Results: After applying the screening criteria and omitting documents that met exclusive criteria, this bibliometric study included 1,170 papers. These were authored by 8,595 scholars from 1,565 organizations in 57 countries or regions and were published in 369 journals, with 51,073 co-cited references included. Publication volume, citations, and relative research interest index focusing on this field have dramatically increased since 2019. The cooperation network showed that the USA, Chinese Academy of Medical Sciences, and Xin Zou were the most active country, institute, and author in this field, respectively. Circulation Research was the journal with the most publications, which was confirmed to be the top core source by Bradford’s Law. The hotspots and emerging direction in the field manifest in (1) three CVDs (atherosclerosis, myocardial infarction, and heart failure) and (2) three cell types (macrophage, fibroblast, and smooth muscle cell)
Conclusions: Our study provides a systematic visualization of the research literature on scRNA-seq in CVDs and provides guidance and reference for understanding the current research status and discovering new research directions.
Person Re-Identification Across Multiple Cameras: An Efficient Gated Channel-Spatial Attention Method
Authors: golizadeh mahdi 
Published: April 2024

Abstract

Person re-identification is a challenging task due to various factors such as body position variations, lighting changes, visual obstructions, and complex backgrounds. In this paper we introduce an attention module called efficient gated channel-spatial attention (EGCSA) to address these challenges. EGCSA consists of two submodules: efficient channel-wise attention (ECAt) and efficient spatial attention (ESAt). ECAt focuses on interactions at the channel level within feature maps by generating attention weights through convolutional layers. ESAt operates at the spatial level to capture relevant information across different spatial locations. These submodules produce attention weights. A multi-stage gate mechanism selects efficient features from the generated ones in previous step, enabling the network to learn robust and discriminative features. The proposed module is integrated into the backbone network after multiple layers. By leveraging EGCSA, our approach demonstrates improved performance in person re-identification tasks, showcasing the effectiveness of our attention mechanism in handling challenging re-identification scenarios. Experimental results on Market-1501, DukeMTMC-ReID, and MSMT17 datasets show that our method consistently outperforms existing state-of-the-art approaches. Code is available at https://github.com/Mahdi-Golizadeh/EGCSA-person-reid.git.
An Effective Strategy for Ransomware Mitigation on Android Devices via Android OS File System API
Authors: Ozturk Mehmet , Yilmaz Baran , Arslan Zeynep , Demirbas Aylin 
Published: April 2024

Abstract
The development and effectiveness of an API-based system for mitigating ransomware threats on Android devices was explored in this study. Leveraging the Android/Linux file system API, the proposed system enhances the detection and prevention of ransomware by monitoring suspicious file system activities. The methodology includes extensive testing across various Android models and versions, demonstrating a high detection rate with minimal false positives. Results indicate that integrating system-level APIs into security frameworks significantly improves response times and device integrity against ransomware attacks. This paper contributes to mobile cybersecurity by providing a scalable and effective strategy for ransomware mitigation, proposing future enhancements with advanced predictive algorithms and broader system integration.