bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-coding genetic variants underlying higher prostate cancer risk in men of African ancestry
Authors: Hannenhalli Sridhar , Li Shan , Fatema Kaniz , Nidharshan Sundarraj , Singh Arashdeep , Rajagopal Padma Sheila , Notani Dimple , Takeda David 
Published: December 2024

Abstract

Incidence and severity of prostate cancer (PrCa) substantially varies across ancestries. American men of African ancestry (AA) are more likely to be diagnosed with and die from PrCa than the those of European ancestry (EA). Published polygenic risk scores for developing prostate cancer, even those based on multi-ancestry genome-wide association studies, do not address population-specific genetic mechanisms underlying PrCa risk in men of African ancestry. Specifically, the role of non-coding regulatory polymorphisms in driving inter-ancestry variation in PrCa has not been sufficiently explored. Here, by employing a sequence-based deep learning model of prostate regulatory enhancers, we identified ~ 2,000 SNPs with higher alternate allele frequency in AA men that potentially affect enhancer function associated with PrCa susceptibility, as supported by our experimental validation. The identified enhancer SNPs (eSNPs) may influence PrCa development through two complementary mechanisms: 1) the alternate allele that increase enhancer activity result in immune suppression and telomere elongation, and 2) the alternate alleles that decrease enhancer activity, lead to de-differentiation and inhibition of apoptosis. Notably, the eSNPs tend to disrupt the binding of known prostate transcription factors including FOX, AR and HOX families. Lastly, the identified eSNPs can be combined into a polygenic risk score that adds value to current GWAS-based risk variants in assessing PrCa risk in independent cohorts.
Blocking or Embracing the Competition: Discussing the Trade War on the Electric Vehicle Industry from a Global Perspective
Authors: Kouam Arthur William Fodouop 
Published: December 2024

Abstract

This study examines the multifaceted impact of the ongoing US-China trade war on the global electric vehicle (EV) industry, scrutinizing how tariffs, supply chain disruptions, and competitive dynamics have reshaped production costs, market share, and innovation strategies. Utilizing a mixed-methods approach, we conducted quantitative analyses through Multiple Linear Regression (MLR) on data collected from 20 leading EV markets. We complemented these findings with qualitative insights from semi-structured interviews with 15 industry experts. Our analysis reveals that the imposition of tariffs significantly elevates production costs for EV manufacturers, leading to a notable shift in market share from Chinese firms to domestic producers in tariff- imposing countries. Furthermore, the findings illustrate that companies embracing collaborative competition tend to foster higher levels of innovation compared to those adopting protectionist measures. By integrating International Trade Theory and Dynamic Capabilities Theory, this research adds to the existing literature on trade wars and industrial competitiveness, highlighting that while tariffs may offer temporary protections, they hinder long-term innovation and resilience in the EV sector. This study fills a critical gap by providing a comprehensive analysis of the trade war's implications on a global scale, offering strategic recommendations for policymakers and industry stakeholders navigating a rapidly evolving landscape.
Jelcodes: F13, L62, O38
Protein Kinase A is a Dependent Factor and Therapeutic Target in Fibrous Dysplasia
Authors: Zhao Xuefeng , Liu Zhongyu , Xing Lu , Huang Wenlong , Ji Ning , ZHAO Hang , Chen Qianming , Han Xianglong , Bai Ding 
Published: December 2024

Abstract

Fibrous dysplasia (FD) is a skeletal disorder caused by activating mutations in Gαs, leading to bone fractures, deformities, and pain. Protein kinase A (PKA), the principal effector of Gαs/cAMP signaling, plays critical roles in various biological processes. However, its role in FD is unknown. Here, we demonstrate that PKA activation replicates FD-like lesions in a transgenic mouse model expressing an activating mutation of the PKA catalytic subunit α (PKAcαW197R) in the skeletal stem cell (SSC) lineage. Mechanistically, PKA promotes osteoclastogenesis and aberrant osteogenic differentiation and proliferation of SSCs, while impairing mineralization. Interestingly, downregulating PKA activity, using either a genetically engineered PKA inhibitor peptide or small-molecule inhibitors, effectively alleviates FD lesions in an FD mouse model and safeguards bone health by increasing trabecular bone volume in an osteoporosis mouse model. These findings demonstrate that PKA is a dependent factor in FD initiation and progression, underscoring its potential as a therapeutic target.
The association of phenotypic age acceleration with erectile dysfunction among adult males in the United States: A cross-sectional study based on NHANES 2001-2004 database
Authors: Zhou Yiwen , Cai Yuxi , Zheng Pengfei , Chen Xinglin , Mu Zezhong , Xu chenyang , Mao Shanhua 
Published: December 2024

Abstract

Objective The purpose of this study is to examine the relationship between phenotypic age acceleration (PhenoAgeAccel) and erectile dysfunction (ED) in US males, utilizing data from the National Health and Nutrition Examination Survey (NHANES) collected between 2001 and 2004.Methods This study explored the relationship between PhenoAgeAccel and ED by analyzing a sample reflecting the male population of the United States (n = 1,977; NHANES 2001–2004). Phenotypic age (PA) is calculated using nine blood-based biomarkers. PhenoAgeAccel was calculated by extracting the residuals and regressing the phenotypic age on the chronological age (CA). The evaluation of ED was based on a single-item measure of self-reported erection problems derived from the Massachusetts Male Aging Study. This research used multivariable logistic models to examine the connection between PhenoAgeAccel and ED. Additionally, it included subgroup and interaction analyses to assess variations among different groups. Smoothed curve fitting and generalized additive modelling (GAM) were also employed to analyze the data further.Results The study cohort comprised 1,977 subjects, of whom 559 were diagnosed with ED and 1,418 were not. The weighted multivariate logistic regression model indicated that there was a 3% higher probability of ED for each unit increase in PhenoAgeAccel (OR: 1.03, 95% CI: 1.01–1.06) after accounting for all covariates. The results of the subgroup analysis were consistent across all categories, indicating a significant positive correlation between PhenoAgeAccel and ED. The results of the interaction tests demonstrated that the positive correlation between PhenoAgeAccel and ED remained consistent, with all interaction p-values exceeding 0.05. Additionally, a non-linear relationship was identified between PhenoAgeAccel and ED, whereby an elevated PhenoAgeAccel was associated with a progressive increase in the risk of ED, exhibiting a J-shaped curve (inflection point: -0.86, p < 0.05).Conclusions The findings of our study indicate that an increase in PhenoAgeAccel may be associated with an elevated risk of developing ED. Consequently, PhenoAgeAccel represents a promising biomarker for the early identification of individuals at risk for ED, with significant implications for the management of men's health and the implementation of public health nutrition strategies.
Willingness-to-pay and costs for novel manual emptying services for onsite sanitation facilities in an informal settlement of Nairobi, Kenya
Authors: Tomoi Hiroaki , Ingumba Bonface Butichi , Simiyu Sheillah , Ross Ian , Braun Laura , Moriyasu Taeko , Cumming Oliver 
Published: December 2024

Abstract

Nearly half of the global population currently use onsite sanitation systems such as pit latrines. Access to safely managed sanitation is essential for public health but emptying services for onsite sanitation are often unsafe for both users and service providers. The study aims to assess willingness-to-pay (WTP) for two safer manual emptying services. The first is referred to as the “Standard Plan”, a hypothetical safer manual emptying service, and the second is referred to as the “Small-amount Plan”, a hypothetical service with a volumetric limit. The costs of the two services were also estimated to assess their financial feasibility. We surveyed 400 households in an informal settlement in Nairobi, Kenya by a contingent valuation method. The mean WTP for the “Small-amount Plan” was $1.4/drum, which was $0.2/drum lower than the WTP for the “Standard Plan”. Whilst the WTP was lower, the estimated cost of the Small-amount Plan where emptiers can visit multiple toilets was $0.9/drum lower than the cost for the “Standard Plan” where emptiers visit one toilet. Our results suggest that grouping multiple toilets could be a market viable cost-reduction strategy for safe manual emptying and warrant further research to develop and test this approach which may increase access to safely managed sanitation in low-income informal urban areas. (209 words)
Assessing the Impact of Digital Literacy Competency on Academic Outcomes: A Theoretical Model Validation Study
Authors: Muammar Suadad , Maheshwari Piyush , Atalla Shadi 
Published: December 2024

Abstract

As technology becomes integral to education, especially with the emergence of advanced artificial intelligence applications, students require advanced digital literacy (DL) skills to succeed both academically and professionally. DL, defined as the ability to use digital technologies with a positive attitude toward digital learning, is explored in this study. The literature review for this study identified gaps in understanding the relationship between DL and academic performance. Current studies lack comprehensive data across university levels and majors, have limited representation of diverse student populations, and do not offer a unified understanding of the collective impact of DL skills on performance. This study aims to explore digital competence among higher education students using a tailored theoretical model, focusing on the impact of these competencies on academic performance. Employing a customized DL theoretical model that incorporates 22 competencies across three domains—computer and information skills, advanced production, and digital security—this research also considers demographic influences, such as sex and year of study. This study used partial least squares structural equation modeling and other statistical methods to investigate the relationships among these 22 competencies and their impact on students’ academic performance. The findings revealed a significant correlation between computer and information skills and student performance with variations according to demographic factors. This study enhances academic understanding of DL and offers practical insights into educational strategies and policy development in higher education. This streamlined approach to developing a DL framework addresses the changing educational needs of undergraduate students.
A Comprehensive Review on Integrated Approach for Discovery and Development of Novel Bioactive Compounds: From Natural Resources to
Targeted Therapeutics
Authors: Piyushbhai Modi Kiran , Sharma Prakhar , Ramalingam Rabika , Binesh Ambika , Venkatachalam Kaliyamurthi 
Published: December 2024

Background:
Bioactive compounds were isolated, characterized, but their efficacy,
potency and mechanism of action to treat/prevent several diseases yet to defined. The present review
provides the insight on the activity of nature derived bioactive compounds therapeutic potential
against communicable and non-communicable disease by using in silico approaches such
as structure-based virtual screening, ligand-based virtual screening, quantitative structure activity
relationships (QSAR) modeling, network-based methods (molecular networking) which could be
a breakthrough for the novel bioactive drug development of personalized medicine toward the
numerous diseases.

Methods:
This study conducted a thorough literature search on various computational tools used
for elucidation of bioactive compounds against communicable and non-communicable diseases.
The search was performed using multiple search engines and the main keywords, and only English
publications (Web of science, Pub med, Science direct etc.) published up to 2023 were included.

Results:
The research presented the various computational tools used for elucidation of bioactive
compounds against communicable and non-communicable diseases and possible mechanism of
action of lead compounds. It also gives the brief how computational tools might be used in future
for personalized medicine development with recently conducted studies outcome.

Conclusion:
The present review concludes that computational tools help to narrow down the hit
compounds via computational tools (virtual screening) and in short period of the time millions of
bioactive compounds could be investigated for their therapeutic potential. These review
emphasize the potential impact of computational approaches on drug development and
personalized medicine.
Chrysin: Chemistry, Occurrence, Pharmacokinetics, Toxicity, Molecular Targets, and Medicinal Properties of a Naturally Occurring Flavone
Authors: Chandra Phool , Pathak Rashmi , Sachan Neetu 
Published: December 2024

Abstract:
The impact of naturally occurring flavonoids on human health and illnesses is crucial,
as they are closely linked to dietary components and human health. Flavonoids may be able to
shield people against disease in both in vitro and in vivo research settings. The flavonoid chrysin
has demonstrated several intriguing pharmacological properties, including immune modulation,
anti-cancer, anti-diabetic, antidepressant, and anti-asthmatic effects. Furthermore, it showed possible
defenses against various toxins in the liver, brain, kidney, and heart, among other organs.
Numerous investigations have been carried out to investigate potential targets for its potential
mechanism of action. However, because of its low oral bioavailability, its medicinal uses have
been restricted. Its broad first-pass metabolism is the leading cause of its low bioavailability.
There hasn't been a thorough discussion of the pharmacological characteristics of chrysin and the
molecular targets that are related to it yet. Therefore, this review aims to provide a comprehensive
overview of chrysin, focusing on its chemical structure, natural sources, pharmacokinetics, toxicity
profile, molecular targets, and medicinal properties. By synthesizing current research findings,
this paper aims to highlight the therapeutic potential of chrysin, discuss its safety and efficacy,
and identify areas for future research.
A Review of Newer Biologically Potent Pyridine Analogues
Authors: Mulla Mohammed Zuber D. , Siddiqui Nilofarnaznin M. , Patel Navin B. , Patel Vatsal M. , Shaikh Faiyazalam M. 
Published: December 2024

Abstract:
Pyridine is a nitrogen-containing six-membered heterocycle that is used both independently
and fused with other heterocyclic rings such as thiazole, thiophene, and most likely
with imidazole having a wide range of biological applications. In this review, we report all possible
applications of pyridine analogs for all possible diseases. Due to various medicinal applications,
the pyridine scaffold has become a fascinating target for medicinal chemistry researchers
globally. These particular properties like basicity, water solubility, hydrogen bond forming ability,
stability, and small molecular size led researchers to pay more attention to the pyridine molecule
with different geometries such as anticancer, antitubercular, anticonvulsant, fungal, bacterial,
anti-inflammatory, antidepressant, antioxidant, anti-HIV, antidiabetic and against the COVID 19.
This review encompasses all possible applications of pyridine analogs for various diseases.
Optimization of Blade Injection Molding for Plant Protection UAV Based on Blade Element Theory and Response Surface Method
Authors: Zheng Jiayu , Wang Quan 
Published: December 2024

Background:
The method was proposed to optimize the warpage and volume shrinkage
of the blade of a plant protection unmanned aerial vehicle (UAV) during injection molding. The
influence of molding defects on the geometric parameters of airfoil was analyzed from two aspects
of blade geometry structure and molding process based on blade element theory. This paper focuses
on reducing the warpage and volume shrinkage of the blade in the production process and improving
molding quality through moldflow analysis and calculation.

Objective:
The purpose of this patent study was to combine injection molding CAE with orthogonal
test and response surface method to reduce product warpage and volume shrinkage, improve dimensional
accuracy and production efficiency, and combine fluid dynamics simulation experiments to
prove the experiment's reliability.

Methodology:
The optimization method of injection molding process parameters was proposed
based on the orthogonal test and response surface method, combining the principles of aerodynamics
mathematics and polymer injection molding. The Taguchi experiment was designed with melt temperature
injection time and mold temperature pressure holding time as the optimization variable. The
Box-Behnken Design (BBD) experiment was designed, and the response surface model was established
with Design-Expert software to analyze the mapping relationship between process parameters
and warpage and volume shrinkage. Moldflow software was used for flow analysis on the basis of
analysis by response surface method, and the deformed parts were analyzed by computational fluid
dynamics (CFD) with ANSYS software to prove the reliability of the calculation process.

Results:
The warpage and volume shrinkage of the product can be significantly reduced based on the
orthogonal test and response surface model. The aerodynamic performance of the blade can be improved
by optimization injection molding, making the actual production of the blade close to the
original design blade model to the greatest extent and reducing the actual production trial and error
cost.

Conclusion:
An optimization method of the injection molding process of the UAV rotor was proposed
based on the response surface method and blade element theory. Through the systematic design
and optimization of injection molding parameters, the molding quality and performance of the
rotor can be improved, which provides a new way to optimize the dynamic components of massproduced
UAVs.
Investigation on Building Intelligent Engineering Safety Detection Based on BIM and Internet of Things Technology
Authors: Wang Jie 
Published: December 2024

Introduction:
With the rapid economic development and the continuous improvement
of people's living standards, people pay more and more attention to public facilities such as housing.
However, traditional manual methods have been unable to meet the requirements of current
construction projects for engineering quality control and management.

Method:
This patent paper analyzes the general content and methods of intelligent building safety
detection, and focuses on the research status of intelligent building construction management system
based on building information model and Internet of Things. The different characteristics of
the two in the development direction are expounded, and their active roles in promoting intelligent
building construction and improving construction project management are summarized.

Results:
This paper compares the safety inspection systems of construction projects before and after
the application of BIM and Internet of Things technology. The results show that during the implementation
of the project, BIM can reflect the on-site situation more truthfully and intuitively,
and the accuracy rate of the test results has also increased by about 3.26%. At the same time, to a
certain extent, the use of the Internet of Things to complete the whole process monitoring function
of the project can greatly shorten the construction period and reduce costs.

Conclusion:
This can effectively reduce human intervention on the construction site, optimize the
quality of the project, and make the construction project have good economic benefits.
A Case Report on Placenta Accreta: Developing a Conceptual Framework
Authors: Alzboon Ghadeer , Kawafha Mariam , Al Maghaireh Duaa , Alhamory Sajeda 
Published: December 2024

Introduction
Placenta accreta is a pathological condition of the placenta associated with multiple maternal and neonatal complications, but its diagnosis and treatment have been sparsely reported from the nursing viewpoint. This report describes a case of placenta accreta from the nursing perspective to develop a conceptual framework of care.

Case Presentation
Our case involved a 37-year-old pregnant woman with four previous caesarean sections and a previous in vitro fertilisation. She was diagnosed with placenta accreta only in the operating theatre during a scheduled caesarean section, and she had not performed thorough antenatal care as in her previous pregnancies despite having significant symptoms, such as severe urinary incontinence. The patient experienced many complications during the caesarean section, including bladder injury, massive haemorrhage, and hysterectomy.

Conclusion
We develop a theoretical framework illustrating the core factors that influence the management of placenta accreta and associated maternal morbidities. This model highlights the distinction between patient characteristics, nurse characteristics, organisational factors, and pregnancy outcomes and shows their relationship to the diagnosis and prevention of placenta accreta. The model has important implications for research and practice, and the case reminds nurses of their recommended interventions to diagnose, manage, and prevent placenta accreta. The quality of care for placenta accreta cases should be promoted through the assessment of patients, nurses, and organisational factors and the application of prevention measures.
The effect of PjBl model on creative thinking ability and higher-order cognitive outcomes in high school
Authors: Ginting Ricky Prananta , Wicaksana Ervan Johan , Natalia Desfaur 
Published: December 2024

Creative thinking skills are demans on 21st century competencies, and this is an ability that students must have in the independent curriculum. Cognitive learning outcomes are a form of achievement of students’ knowledge after learning. This research aims to analyze the effect of the project-based learning model on the creative thinking ability and cognitive learning outcomes of students at Senior High School 11 Muaro Jambi. The research design used Pretest-Posttest Non-Equivalent Control Group Design. The research sample consisted of 58 students of class XI Phase F students taken by purposive sampling. Data obtained through observation and tests. Data analysis using One Way MANCOVA to verify hypothesis data. The results showed that the average creative thinking ability and cognitive learning outcomes in project-based learning were higher than problem-based learning. The results of the analysis concluded that the use of project-based learning model affects the creative thinking ability and cognitive learning outcomes of students. Therfore, the project-based learning model is recommended to be applied to support the implementation of the independent curriculum in high school as an effort to maximize learning.