bluuebunny/crossref_metadata_2025_split huggingface dataset:
RFTN1: an potential inhibitor of the immunity system in TME of breast cancer improving the tumor immune escape
Authors: Xin Hongbin , Zhang Mingzhu , Miu Linrui , Zhou Lin , Li Zhenghang , Tang Lingfeng 
Published: April 2024

Abstract

Background
Immune checkpoint inhibitors have been extensively utilized in treating breast cancer patients, leading to improved prognoses. For patients with negative checkpoint responses, there is a pressing need to identify alternative therapies to improve outcomes.
Method
We used WGCNA in muti-place metastasis samples to find the lymph node metastasis related gene RFTN1. Consensus cluster show the different subtype with significant pathway changes and immune cells differences. We used CellChat estimated the different interactions of cells in single cell data. We used hdWGCNA and irGSEA to identify the changes between different RFTN1expression groups.
Results
Our research began by analyzing RNA sequences from breast cancer tumors with metastasis using WGCNA. We identified a gene, RFTN1, that is closely associated with lymph node metastasis, a critical early step in breast cancer spread. Subsequent analysis of RFTN1's potential functions, using data from TCGA-BRCA project, suggested that RFTN1might be involved in regulating the immune system. Single-cell RNA sequencing revealed that samples with higher RFTN1expression had increased proportions of CD8+ and CD4+ T cells, albeit the overall proportions were lower. These samples also showed different interactions between T cells and other cells, indicating a greater reception of chemotactic factors (CFs) in samples with higher RFTN1 expression. Previous studies have confirmed RFTN1's role in macrophages, aligning with the pathways enriched by the differential gene expression associated with varying levels of RFTN1. It appears that RFTN1 may facilitate T cell receptor binding to CFs, thereby enhancing T cell activation in the tumor microenvironment (TME). Additionally, pathways related to apoptosis were upregulated in samples with higher RFTN1expression, correlating with a reduced proportion of malignant cells.
Conclusion
This study proposes a novel approach to modulating T cells in the TME and offers an alternative to traditional immune checkpoint inhibitor therapies for treating BC. RFTN1 is related to the CFs receptor transportation in CD4+ T cells and CD8+ T cells, which may activate the anti-tumor immunity system in TME.
Anxiety Disorder Amongst Clinical Medical Students at the University of Nigeria Teaching Hospital, ENUGU CAMPUS: a Comparative Study
Authors: ANASIUDU EBUBE PRECIOUS , ANAKWUE CHINEDU RAPHEAL , ANASONYE CHUKWUEBUKA JOHNBOSCO , ANANWUNA NNAGOZIE PAUL , EKWUEME CHRISTIAN OSAELOKA 
Published: April 2024

Abstract
Anxiety disorders are combinations of emotional disorders that have profound effects on the mental status of individuals. One of the most common presentations is a panic attack, in which students experience attacks that are especially close to tests and examinations due to the cumbersome academic workload.
This paper reviews the effect of anxiety disorders among medical students at the University of Nigeria Enugu Campus. An online questionnaire was distributed to the 3rd, 4th, and 5th MBBS classes in an attempt to determine the prevalence and knowledge of anxiety in these classes, and any known coping mechanisms and to perform a comparative study on socio-demographic, academic, and personal factors.
The results revealed a preponderance in females and fear of failure and a high dependence on receiving emotional support from family, praying and meditating as coping mechanisms.
Hopefully, this study will inform academic authorities on the need to adjust syllables due to increased workload as a contributing factor of anxiety disorder and school authorities on the need for a closed student-lecturer interaction.
Building Energy Optimization using BIM: A Study on Institutional Building
Authors: S. Yuvaraj M. , Shaik Nurulla , V. Purushotham D. , A. Yashwanth Krishna , V. Krishna Sai , B. Lokesh Babu , P. Azaruddin 
Published: April 2024

Abstract
In many facets of the construction industry, including energy management to encourage the development of green buildings, Building Information Modelling (BIM) is one of the contemporary data information platforms and management technologies that is widely employed. The goal of this study was to optimize an institutional building's energy consumption by analyzing and evaluating its energy performance using BIM-provided capabilities. The Civil Engineering block of Sree Vidyanikethan Engineering College in Tirupati, was taken into consideration for the investigation. The 2D blueprint was obtained from the engineering department and BIM technologies were used to create the necessary building model. The Green Building Studio (GBS) tool and Autodesk Insight 360 were utilized to conduct an energy analysis and derive the energy usage figures. The structural elements that are contributing to the high energy demand, such as the area between windows and walls, the width of the chajja relative to the height of the window, etc., were identified, and the BIM model underwent the required alterations to optimize the energy consumption. Comparing the data obtained in the two aspects, it was found that there was a 30% reduction in energy costs and a roughly 29.76% drop in energy use.
Exploration of the antiviral efficacy of thiophene derivatives targeting human papillomavirus (HPV) and prevention of cancer: A comprehensive computational approach
Authors: Odey Michael O. , Gulack Alpha O. , Ogar Rose O. , Oduma Stanley J. , Odey Diana O. , Iyen Sandra I. 
Published: April 2024

Abstract
Owing to the public health concern of human papillomavirus infection, which is capable of progressing into cancer among the population today, desperation to mitigate the cause of this infection is needed; hence, in this research, we unveiled the antiviral effects of four thiophene derivatives, 2B, 2C, 2D and 2E, against human papillomavirus (HPV) via computational DFT and molecular docking approaches along with ADMET prediction. Interestingly, the compounds showed great stability according to conformational assessment, spectroscopic studies (FT-IR and UV‒Vis), NBO studies, and quantum descriptor analysis. These compounds mostly exhibit LP→ LP, σ*→ σ*, and σ*→ σ transitions, as 2B shows a dominant π*→ π* orbital transition. Their reactivity was observed in different studies; for example, the HOMO-LUMO and DOS results highlighted 2B as the most reactive, among others. The energy gaps were 3.758 eV, 3.750 eV, 3.743 eV, and 3.724 eV for 2B, 2C, 2D, and 2E, respectively. During the docking process, the compounds displayed a high binding affinity and number of amino acids after interacting with the 1R8H and 4GIZ proteins of HPV, especially when they interacted with the 4GIZ protein, as the 2E-4GIZ complex displayed a robust affinity of -6.4 kcal/mol. Hence, these compounds show great antiviral potential against HPV and are promising candidates for novel HPV infection therapies.
Exploring Key Challenges for Healthcare Providers and Stakeholders in delivering adolescent sexual and Reproductive Health Services and information during the COVID-19 Pandemic in Malawi, Zambia and Zimbabwe: A Qualitative Study
Authors: Munakampe Margarate Nzala , Matenga Tulani Francis Lufungulo , Chewe Mwimba , Gold-Watts Anise , Lahidji Reza 
Published: April 2024

Abstract

Introduction: This study aimed to explore the direct and indirect influences of COVID-19-related restrictions on adolescents and young people's SRHR in Malawi, Zambia, and Zimbabwe, with a focus on teenage pregnancy and access to and utilization of HIV testing and counselling services.
Methods: A qualitative case study in a larger mixed-methods study design was used. Thirty-four interviews and four group discussions were conducted with relevant stakeholders in Malawi, Zambia and Zimbabwe. In Zambia, adolescents and young people were included and asked to describe their experience/perceptions of the impact of COVID-19 on their SRHR. Content and thematic analysis were used to analyze the data,
Results: Priority shifts resulted in the focus of service provision to the COVID-19 response, shortages of already insufficient human resources due to infection and/or isolation, supply chain disruptions leading to shortages of important SRH-related commodities and supplies, compromised quality of services such as counselling for HIV and overall limited AYP’s access to SRH information. Suggestions for interventions to improve SRH services include the need for a disaster preparedness strategy, increased funding for ASRHR, the use of community health workers and community-based ASRHR strategies, and the use of technology and social media platforms such as mhealth.
Conclusion:Disruption of SRH services for AYP due to pandemic related-restrictions, and diversion of resources/funding has had a ripple effect that may have long-term consequences for AYP throughout the East and Southern African region. This calls for further investment in AYP’s access to SRHR services as progress made may have been deterred.
Enhancing Supply Chain Management in Small-Medium Enterprises through Business Intelligence: A Conceptual Model Approach
Authors: Sadeghi mohammad Taghi , hasan Ibaa Al 
Published: April 2024

Abstract

In the contemporary business milieu, small and medium enterprises (SMEs) encounter distinct challenges in navigating the complexities of supply chain management (SCM) owing to resource constraints and operational limitations. This study proposes a conceptual model to bolster SCM efficiency within SMEs through the strategic application of business intelligence (BI). Adopting a qualitative and exploratory approach, the research delves into the experiences and insights of experts, managers, and information technology specialists entrenched in the SME landscape. Utilizing judgmental sampling, data saturation was achieved through semi-structured interviews, which were subsequently analyzed via thematic analysis. The findings unveil a comprehensive framework comprising 98 initial themes distilled into 55 basic themes, 15 organizing themes, and 4 global themes encompassing supply network analytics, business performance analytics, optimal path management, and retention and loyalty analytics. By embracing BI and integrating the proposed conceptual model, SMEs are poised to unlock novel growth trajectories and fortify their competitive standing in the contemporary business ecosystem.
Bioinformatics Analysis and Experimental Validation of m3C RNA Methylation Regulators in Hepatocellular Carcinoma
Authors: Fan Aqiang , Lin Junchao , Wang Yizhuo , Yang Bin , Wang Xiangjie , Wang Shiqi , Liu Hong , Zhou Wei 
Published: April 2024

Abstract
Hepatocellular carcinoma (HCC) is one of the most common malignant tumors of the digestive system; however, its etiology remains unclear. Clarifying its pathogenesis is essential to improve the prognosis of patients with HCC. Studies have shown that the 3-methylcytidine (m3C) methylation regulator is closely related to the occurrence and development of tumors and has an excellent potential prognostic value. In the present study, 486 patients with HCC were collected from TCGA and GEO databases, and 16 patients with HCC and adjacent tissues in our hospital were collected. The expression level, mutation of six m3C regulators, and their relationship with the prognosis of patients were comprehensively analyzed, and an m3C scoring system was simultaneously constructed for quantifying m3C modifications. The expression of m3C regulators in HCC was generally different, and most were related to patient prognosis. We further determined two different m3C modification modes in HCC samples. We found differences in clinical characteristics and total survival times between different modification classifications, which further proved that patients with higher m3C scores had longer survival times and better clinical characteristics. This study explored the genetic variation and prognostic value of m3C methylation regulators in HCC and designed a scoring system to predict the prognosis of HCC, providing help for the treatment and prognosis of HCC patients.
Exploring the Influence of B4Cp Concentration and Strain Rate on the Compressive Loading Behavior of Closed Cell Al2024-B4Cp Composite Foams for Enhanced Energy Absorption Applications
Authors: Singh Rajvir , Sharma Jagmohan Datt , Kumar Amit , Thakur Rakesh Kumar , Dinesh Pal , Arora Rama 
Published: April 2024

Abstract
Aluminum foams find extensive applications in the automotive, marine, and defence industries, owing to their exceptional properties like high specific strength and the ability to absorb energy effectively under constant stress. In the current study, the aluminum composite foams (ACFs) reinforced with different wt% (n=2,4,6,8 and 10) of B4Cp (21-30µm) have been developed by stir casting method and their compressive properties at quasi-static (0.001s-1), intermediate (1s-1) and dynamic loading (680s-1) have been investigated. The study shows that adding B4Cp up to 8wt% initially increases foam expansion and cell size, followed by a decrease, while relative density and cell wall thickness exhibit the opposite trend. At all tested strain rates, the compressive properties such as peak stress, average plateau stress, and energy absorption capacity show a consistent increase with the rise in B4Cp wt%. The density normalized average plateau stress confirmed the strengthening effect due to B4Cp addition in the foam. The developed aluminum foams exhibit strain rate sensitivity in their average plateau stress.
Spontaneous brain fluctuation abnormalities in retired football players
Authors: Danielli Ethan , Sharma Bhanu , Nowikow Cameron , Noseworthy Michael D 
Published: April 2024

Abstract
BACKGROUND
New measures of the spontaneity of signal amplitudes of low-frequency fluctuations (ALFF) and fractional ALFF (fALFF) present in resting state functional MRI (rsfMRI) may provide useful objective information when applied to concussion. These metrics provide a spatial map of where signal spontaneity departs from normal values to indicate areas of impairment or over-compensation. Former professional American-style football players would show diffusely decreased ALFF and fALFF.
METHODS: This was a prospective cohort study of 18 retired Canadian Football League (rCFL) players (male, aged 58.78 ± 6.10) recruited and 62 healthy age and sex-matched controls (male, aged 58.81 ± 5.69) downloaded from OASIS-3. High resolution 3D T1-weighted and rsfMRI data was collected on a 3T GE MRI. CONN was used to preprocess the rsfMRI data and compute ALFF/fALFF metrics, while voxel-wise and brain region-of-interest (ROI) Z-scoring analyses were computed in MATLAB. The rCFL participants also completed self-reporting clinical behavioural tests. Significant ALFF and fALFF differences were calculated as clusters (Threshold Free Cluster Enhancement, FWE-corrected p < 0.05) and ROI Z-scoring (Abnormal ROI, +3≤Z-score≤-3). Correlations and multiple linear regression analyses between participant demographics, clinical test data, and total number of abnormal brain ROIs were also computed.
RESULTS: Two large clusters of decreased signal spontaneity and one large cluster of increased signal spontaneity were found in retired athletes compared to controls. The Z-scoring analysis found consistently abnormal ROIs from ALFF and fALFF data from the right amygdala, right thalamus, bilateral occipital pole, and bilateral cerebellum crus II. The total number of positive fALFF Z-score outliers correlated with a longer career length.
CONCLUSIONS: Our analyses showed that cerebellar and central sub-cortical brain regions were most frequently and seriously abnormal. Spontaneous brain activity, a measure of brain health, was compromised in retired athletes years after competitive sport.
Exploring Machine Learning Techniques for Identifying Topological Transitions in Two-Dimensional Vortex Systems: A Study in Superconductors
Authors: Mandadapu Purnachandra 
Published: April 2024

Abstract
The advancement of Machine Learning (ML) is uprising and has seen significant uptick in the recent years. Therefore, this study will shed light on the two-dimensional vortex systems and the impact of ML on it. For the study—a rectangular, superconductor (Type II) system has been selected—the focus is to understand the topological transition, commonly known as melting, with a particular emphasis on leveraging ML techniques for its identification. To amplify this study, prior studies in the field are deeply examined, providing a detailed understanding. For instance, the Ginzburg–Landau theory serves as an important theoretical framework, showcasing the simulations used in this study. Brief descriptions are presented for the properties of the simulated material and the reason behind its selection, elaborating the research context. Subsequently, the simulated data undergoes pre-processing using Principal Component Analysis (PCA) as a preparatory step. This processed data is then utilized to train a logistic regression algorithm—referred as a simple yet effective classifier in this context. The resultant model shows success in accurately identifying the melting transition, presenting the efficacy of the employed approach. Despite the PCA and logistic regression simplicity compared to more complex ML algorithms; their effectiveness in this context is highly promising.
The natural defense peptide caerin1.1/1.9 sequentially induces caspase 3/GSDME-mediated pyroptosis followed by intrinsic apoptosis of epithelial cancer cells
Authors: Luo Yuandong , Li Junjie , Fu Quanlan , Zhang Pingping , Song Xinyi , Liu Mengqi , Mo Rongmi , Fu Jiawei , Tang Shuxian , Wu Jialing , Yang Xiaodan , Liu Xiaosong , Wang Tianfang , Ni Guoying 
Published: April 2024

Abstract
Caerin 1 belongs to a class of host defense peptides with antitumor properties. Caerin 1.1/1.9 have shown promising effects in enhancing the efficacy of immune checkpoint inhibitors and therapeutic vaccines by modulating the tumor microenvironment, particularly by activating tumor-associated macrophages and repolarizing them from an M2 to M1 phenotype. In this study, we demonstrate that caerin1.1/1.9 can induce pyroptosis in epithelial cancer cells (Hela, A549, Huh-7) within 1-hour of administration in vitro, primarily through the caspase 3/GSDME signaling pathway. Furthermore, overnight treatment with caerin1.1/1.9 resulted in apoptosis of Hela cells similar to our previous observation, mediated by the mitochondria/cytochrome C/Apaf-1 pathway. These findings provide insights into the potential mechanisms underlying the antitumor effects of caerin1.1/1.9 and its ability to enhance the efficacy of immunotherapy.
On 100 Years of Quality Control Charts
Authors: Waqas Muhammad , Xu Song Hua , Amin Muhammad Noor ul , Masengo Gilbert 
Published: April 2024

Abstract
Control charts, which originated at Bell Telephone Laboratories (1924), have been vital to quality and reliability engineering as well as statistical process control (SPC), serving as a cornerstone of quality management for the past century. Plenty of work has been done on the ideas and applications of control charts in quality control. However, there is a notable research gap in the comprehensive examination of the evolution, expansion and impact of control charts across various fields. This bibliometric study seeks to fill this gap by examining control charts from 1924 to 2023 and analyzing trends and patterns across an extensive scientific dataset. Objectives include documenting the historical context, identifying contributors, analyzing themes, and assessing temporal dynamics. The study utilizes R package bibliometric tools to analyze 7,880 articles from 2,337 sources. Findings reveal a consistent 7.94% annual growth rate, an average of 17.29 citations per document, and a total of 133,760 references in control charts research. Shewhart's (1931), Page's (1954), and Robert (1959) work set the basis and contributions from Duncan, A.J., D.C. Montgomery, Hawkins, D.M., and William H. Woodall influenced the research clusters. The engineering department remains the top consumer of control charts with 28%. National dynamics indicate global involvement, with major contributors from the United States, China, India, Iran Malaysia, United Kingdom and Pakistan. This study sheds light on global collaborations, key contributions in various disciplines, top journals and the long-term impact of former work on control chart research. Outcomes of this study in the form of key statistics, famous authors, rising subjects, influential institutions, leading countries and identified research gaps will enlighten further interactions and inspire researchers; which will lead to collaboration on SPC and control chart research. The need for more robust Industry 4.0 and 5.0 quality tools presents future methodological adjustments for researchers and practitioners.
Exploring a Mathematical Model with Saturated Treatment for the Co-dynamics of Tuberculosis and Diabetes
Authors: Rasheed Saburi , Iyiola Olaniyi , Oke Segun , Wade Bruce 
Published: April 2024

Abstract
In this research, we present a deterministic epidemiological mathematical model that delves into the intricate dynamics of the co-existence of tuberculosis and diabetes. Our comprehensive analysis explores the interplay and the influence of diabetes on tuberculosis incidence within a human population segregated into diabetic and non-diabetic subgroups. The model incorporates saturated incidence rates and treatment regimens for latent tuberculosis infections, offering insights into their impact on tuberculosis control. Theoretical findings reveal the emergence of a phenomenon known as backward bifurcation, attributed to exogenous reinfection and saturated treatment. Additionally, our study employs both local and global sensitivity analyses to identify pivotal parameters crucial to the spread of tuberculosis within the population. This investigation contributes valuable insights to the understanding of the complex relationship between tuberculosis and diabetes, offering a foundation for more effective disease control strategies.
2020 MSC classification: 34A34, 92D30, 92B05, 65H10.
Fabrication and investigation of mechanical properties of FGM metal‐based materials with friction stir process and carbon nanotube particles
Authors: Farahani Mahdi , Delivand Mohammad Hasan Rajabi , Sheikhi Mohammad Morad , Nakhaei Mohammad Reza , Ramezani Haidar , Parvizi Soroush 
Published: April 2024

Abstract
In this study, Al6061 aluminum sheets and carbon nanotubes with 0, 0.1, 0.5 and 1.5 volume percent were used to produce FGM materials using the friction-stir process and important parameters such as rotational speed, traverse speed and tool angle were investigated for the impact strength and microhardness of the produced composites. The process was carried out at rotational speeds of 950, 1225 and 1500 rpm, traverse speeds of 30, 37.5 and 45 mm/min and angles of 2, 3 and 4 degrees and the mechanical properties and microstructure of the composite material produced were investigated. In order to reduce costs, increase the accuracy of the experimental tests, determine the optimal conditions and also ensure the effectiveness of the parameters for the samples, the response surface design method was applied using Design Expert and Minitab software. In the impact test results, the fracture energy of the manufactured composite material is lower than that of the starting material, and as the rotational speed and tool angle increase, the fracture energy decreases, but as the traverse speed increases, the fracture energy increases. The results of the microhardness test show that the hardness of the produced composites decreases compared to the starting material. As the speed and angle of the tool increases, the hardness decreases, but as the traverse speed increases, the hardness of the composite material increases. The investigation of the effect of the percentage of carbon nanotubes on hardness showed that hardness also increases with increasing percentage of nanotubes.