bluuebunny/crossref_metadata_2025_split huggingface dataset:
Congestion management with reservation service in a home-subway station commuting scenario
Authors: Zhang Hui , Xu Meng 
Published: December 2024

Abstract

Subway provides a sustainable way to meet the increasing commuting demand. This study proposes using reservation service for congestion management in a home-subway station commuting scenario, with reserved channels set for the implementation of reservation service. Passengers who opt for the reservation service need to reserve online in advance. The reservation service from home to the subway station is expected to reduce passengers’ travel costs, and the reservation service at the station entrance is expected to reduce passengers’ queuing costs. A bottleneck model is proposed to approach the congestion management problem in the given home-subway station commuting scenario. Impact analyses are presented with the settings of reserved and unreserved channels to operate independently or be shared by reserved and unreserved passengers when there is a capacity surplus. The influence of travel time uncertainty from home to the station on the commuting system is further discussed. Results indicate that the travel time uncertainty influences passengers’ departure time, queuing time, and travel service choice. Passengers with a farther distance from home to the station prefer reservation service to realize reliable travel. From reduced total system cost and reduced queuing cost perspectives, a shared channel usage setting at the station entrance when there is a capacity surplus is more efficient. Conditions for implementing reservation services to reduce the total system cost are identified.
Fuzzy Cooperative Game Model for Renewable Energy Advancement: A Case Study of Offshore Wind Farms
Authors: Menon Sreelekha 
Published: December 2024

Abstract

Renewable Energy or Green Energy are the energy spawned from naturalistic resources such as sunshine, water, waste and tornado. Renewable energy is in abundance around us. Exploitation of Green Energy is a universal concernment due to its reign to alleviate the environment and diminish the dependence on conservative energy. Collaborated approaches, where various stakeholders involve, can help surmount these hedges and escalate the acceptance of renewable energy. In such situations, fuzzy cooperative game theory can be used to model and analyse the sophisticated environment. Consider a scenario where several countries are considering investing in renewable energy projects. The potential benefits and costs of these projects are uncertain due to factors such as technological advancements, market fluctuations, and policy changes. Kerala, a state in southern India, has significant potential for renewable energy production due to its abundant solar and wind resources. However, the state government is struggling to integrate renewable energy into the existing power grid and ensure equitable distribution of benefits among stakeholders. Using a fuzzy cooperative game model, we can analyse the formation of coalitions among stakeholders to jointly invest in renewable energy projects and share the benefits and costs.
Prevalence of Cardiovascular Disease among Tuberculosis Patients at Penang General Hospital, Malaysia
Authors: Ram Bheesham , Khan Amer Hayat , Harun Sabariah Noor , Ali Irfhan Ali Hyder , AL-Rawi Mahmood Basil , Khan Irfanullah 
Published: December 2024

Abstract

Introduction:
The worldwide burden of tuberculosis and cardiovascular disease (CVD) is extensive in developing countries. There is a contributive relationship between tuberculosis infection and CVD disease. Monocytes, macrophages, lymphocytes, and cytokines involved in cellular-mediated immune responses against Mycobacterium tuberculosis are also the main operators of atherosclerosis in cardiovascular arteries.
Methodology:
This study was conducted at Penang General Hospital, Malaysia from January 2023 to August 2023. Data was collected from January 2015 to December 2022. This study aimed to assess the prevalence of CVD among TB patients by different validation tools. A retrospective and descriptive research design was employed, focusing on TB patients without pre-existing CVD. This study involved a convenient sampling of 402 TB patient files.
Results
The present Study findings revealed a significant prevalence of CVD among TB patients, with 10.2% developing cardiovascular complications. Clinical parameters, including troponin-t high-sensitivity protein, c-reactive protein, electrocardiogram (ECG), echocardiography, and cardiac enzymes, were employed to detect CVD development secondary to Mycobacterium Tuberculosis infection. The positive result of the above clinical parameters was considered confirmation of the development of cardiovascular disease.
Conclusions
The findings contribute to understanding the potential relationship of Tuberculosis infection with the development of cardiovascular disease, exploring the risk factors that lead to CVD, and paving the way for targeted interventions to enhance the holistic care of TB patients.
Factors Influencing Non-Adherence to Antihypertensive Medications Among Patients at SGTH, Swat
Authors: khan Ameer Afzal , Syed Rahman , Khan Sangeen , Ali Mohsin , rahman Aftabur , Inamullah Sayed , Idrees Mohammad , zeb Hassan , Khan Anfal 
Published: December 2024

Abstract

Objective To identify the factors influencing non-adherence to antihypertensive medications (AHMs) among patients at SGTH, Swat.Methods This descriptive cross-sectional study was conducted on hypertensive patients at Saidu Group of Teaching Hospitals (SGTH), Swat, from October 10 to November 4, 2024. Data was collected by in-person interviews using a standardized questionnaire that included the Morisky Medication Adherence Scale (MMAS-8) to determine adherence. The statistical analysis was conducted using SPSS version 25, and the factors influencing non-adherence were identified by logistic regression.Results A total of 228 patients participated in the study, with 117 (51.3%) female and 111 (48.7%) male participants, and a mean age of 55.35 ± 13.65 years. The study found a high prevalence of non-adherence to AHMs, with 166 patients (72.8%) classified as non-adherent. Logistic regression analysis identified several factors associated with non-adherence, including low education levels, low to medium income, high cholesterol, depression, duration of hypertension, the complexity of medication regimens, side effects, and recent hospitalization.Conclusion In conclusion, this study highlights a significant issue of non-adherence to AHMs among patients at SGTH, Swat. Contributing factors include low education, limited income, comorbidities, complex regimens, side effects, and recent hospitalization. Addressing these factors can help healthcare providers improve medication adherence and enhance patient outcomes.
The Problem of Hybridity
Authors: Speculative Space  
Published: December 2024

Speculative Design offers a methodological toolbox with which to explore, and potentially legitimize, alternative models and modes of knowledge through world-building not based on, or not yet based on, socially normalised ‘truths’. However, a problematic dichotomy remains: whilst a neutral, transparent and universal truth may be a fantasy construct, the disturbance of such a construct through individual embodiments is no simple alternative. It requires a careful observation of the modes and assumptions, the premises and processes of different knowledge-generating practices within the confines of academia and beyond. In short, it requires actual (not simply professed) inter- and trans-disciplinarity; in other words: actual working together. So: How do we work together?
Drawing from a range of different disciplines and hybrid forms of research, including artistic research, design, philosophy, and various types of embodied practice, the team members of Spec Space, the Laboratory for Speculative Design Research at Hamburg University of Applied Sciences (HAW), attempted to perform this inter- and trans-disciplinarity on the stage of the Performance Philosophy conference in Helsinki. They demonstrate different ways of knowing, approaching and triangulating the question of what can emerge, once the traditional domains of academia and science (“Wissenschaft”), are no longer regarded as exclusive sites for knowledge production.
Desenhos no Metro/RER de Paris
Authors: Rahim Shakil 
Published: December 2024

Nos túneis do metro cruzam-se pessoas do mundo inteiro, onde se apresentam pela diversidade de rostos, corpos, idades, vestes, cores, poses e posições, numa alargada sociologia visual. Nos limites do espaço proxémico, há pessoas ao telemóvel, no tablet, a ler, a carregar malas, a segurar bebés, protegidos por auscultadores ou perdidos em olhares distantes. Multidão anónima que segue o movimento urbano na urgência da distância e do tempo, como fluxos ou fantasmas. O projeto de desenho De Lignes en Ligne, com início em 2009, desencadeado por Nicolas Barberon e influenciado por Annaïg Plassard, tem por objetivo desenhar o quotidiano do metro de Paris e do RER. Desde então, um coletivo de desenhadores de diferentes origens, partilha online os desenhos realizados nas diferentes linhas e estações. O interesse de desenhar no metro promove essa captura da forma e do espirito de uma época, que nos lembra o ensaio “Le Peintre de la Vie Moderne" de Baudelaire, para quem o artista é um observador atento e crítico, que interpreta e retrata a acelerada transformação da experiência urbana moderna.
Microthrombosis at the Ultra-early Stages after Experimental Subarachnoid
Hemorrhage Results in Early Brain Injury
Authors: Kumagai Masaki , Egashira Yusuke , Sasaki Nozomi , Nakamura Shinsuke , Kuse Yoshiki , Matsubara Hirohumi , Enomoto Yukiko , Izumo Tsuyoshi , Hara Hideaki , Shimazawa Masamitsu 
Published: December 2024

Introduction:
Early Brain Injury (EBI) significantly contributes to poor neurological
outcomes and death following subarachnoid hemorrhage (SAH). The mechanisms underlying
EBI post-SAH remain unclear. This study explores the relationship between serial cerebral blood
flow (CBF) changes and neurological symptoms, as well as the mechanisms driving CBF changes
in the ultra-early stages after experimental SAH in mice.

Methods:
SAH was induced by endovascular perforation in male ddY mice. Mice were sacrificed
at 6, 12, 24, and 48 h after behavioral tests using the modified neurological score and grid
walking test, and CBF was measured via Laser Speckle Flow Imaging (LSFI). Neurofunctional
evaluation, CBF analysis, and Western blotting were used to assess SAH-induced damage.

Results:
Neurological symptoms were significantly worse at 12 h post-SAH compared to sham
(9.5 ± 1.7 vs. 25.6 ± 0.63, respectively; p < 0.0001). CBF was significantly reduced at 12 h post-
SAH compared to sham (35.34 ± 8.611 vs. 91.06 ± 12.45, respectively; p < 0.0001). Western
blotting revealed significantly elevated thrombin and matrix metalloproteinase 9 levels 12 h
post-SAH (p < 0.05).

Conclusion:
Our results suggest that microthrombus formation peaked at 12 h post-SAH, potentially
causing EBI and worsening neurological symptoms. Microthrombus formation in the ultraearly
stages may represent a novel therapeutic target for managing EBI.
Development, Optimization, Characterization, and In-vitro Assessment of
PEG-coated Docetaxel-loaded Proliposomes for Delivery to Breast Cancer
Cells
Authors: Barkat Md. Abul 
Published: December 2024

Introduction:
To address the issues of liposomal instability and enhance the delivery of
docetaxel (DTX) to breast cancer cells, the development of polyethylene glycol (PEG)-coated proliposomes
was proposed, utilizing a thin film hydration technique followed by lyophilization with an
appropriate cryoprotectant. Various compositions of phospholipid, cholesterol, and docetaxel were
optimized, and the PEG was used in a 1.3:1 ratio of the phospholipid.

Method:
The liposomes were converted to proliposomes using a lyophilizer. The optimized formulation
possesses a particle size of 117.0 ± 9.78 nm, with a polydispersity index (PDI) of 0.265 ±
0.094, drug entrapment (DE) of 96.0± 6.14 %, and drug loading (DL) of 9.20 ± 3.17 %. In-vitro
study demonstrated a controlled release pattern consistent with the Higuchi model, alongside significantly
lower protein binding relative to free DTX, indicating a potential reduction in side effects.

Results:
Cell viability study demonstrated increased cytotoxicity of PEG-DTX proliposomes (PEGDTX
PL) against MDA-MB-231 cells, evidenced by a lower IC50 (4.677 μg/mL) relative to free
DTX, underscoring the promise of this nanocarrier for targeted therapy.

Conclusion:
The findings are promising as a simple and scalable carrier comprising general and
biocompatible materials that can provide a safe surfactant free nanosystem with improved efficacy
and performance.
Bone Marrow Mesenchymal Stem Cells Ameliorate Diabetes and Diabetic Renal Fibrosis by Modulating the Inflammatory Factor IL-11
Authors: Huang Li-Lan , Yang Ji , Hou Yue-Yuan , Bai Yi-Hua , Jiang Hong-Ying 
Published: December 2024

Objective:
This study aims to explore the therapeutic potential of mesenchymal stem
cells (MSC) in treating diabetic nephropathy (DN) by investigating their effect on IL-11 modulation
in a mouse model.

Methods:
The effects of MSC therapy on DN were examined both in vivo and in vitro. Sixty adult
male C57BL/6 mice were divided into the streptozotocin (STZ) diabetes (T1D) and the high-fat diet
diabetes (T2D) models, with both groups receiving MSC treatment or saline for 4 or 8 weeks.
Blood glucose, serum urea, interleukin-11 (IL-11), and kidney fibrosis markers were measured.
Additionally, western blotting was used to assess levels of Type I and III collagen, E-Cadherin, α-
smooth muscle actin (α-SMA), Vimentin, and ferroptosis suppressor protein 1 (FSP-1).

Results:
MSC-treated T1D and T2D mice showed reduced blood glucose, serum urea, IL-11,
TGF-β, and fibrosis markers (type I and III collagen, α-SMA, Vimentin, FSP-1), alongside increased
E-Cadherin expression. Similar effects were observed in vitro using mouse glomerular
epithelial cells, confirming MSC-mediated suppression of fibrosis pathways.

Conclusion:
MSC therapy improves nephropathy, likely by inhibiting IL-11 and reducing fibrosis-
related markers, making it a promising treatment for DN.
Toxicity and anti-inflammatory effects of Eleutherine bulbosa (Miller) Urb, ethanolic extract, in zebrafish (Danio rerio)
Authors: Ferreira Dionisia P. , Holanda Fabrício H. , Borges Swanny F. , Ramos Ryan da S. , Shinkai Victoria Mae. T. , De Souza Gisele C. , carvalho José Carlos T. , Pimenta Raphael S. , Do Nascimento José Luiz M. , Ferreira Irlon M. 
Published: December 2024

Introduction:
Eleutherine bulbosa (Miller) Urb, popularly known as “marupa-zinho”, is frequently used in traditional medicine for treating various diseases, including hypertension, ulcers, constipation, and intestinal infection. However, there is little scientific knowledge available regarding the pharmacological effects of this species. Thus in vivo and in silico phytochemical studies are required to establish whether this plant has these effects. Further tests were necessary to evaluate the pharmacological activity of the compounds found in this plant, and demonstrate results related to the anti-inflammatory process, which will serve as the basis for future research in this area.

Methods:
Therefore, our study aimed to determine the acute toxicity levels of the hexanoic fraction of the ethanolic extract of Eleutherine bulbosa (referred to as ExtHF) using adult zebrafish, with the determination of the LD50, behavioral and histopathological evaluations, as well as the anti-inflammatory potential of ExtHF, at different doses, in abdominal edema induced by carrageenan. The acute toxicity study and histopathological analysis in zebrafish showed that ExtHF has a high toxic potential, with an LD50 of 346.74 mg/kg. However, ExtHF showed an anti-inflammatory effect by inhibiting abdominal edema at all doses tested.

Results:
The inhibition rate of 66.2% and 62.4%, respectively, was observed with the 2.5 mg/kg dose, respectively, indicating that ExtHF is safe in terms of acute toxicity based on behavioral changes, mortality rate, and histopathological examination. Therefore, ExtHF has an acceptable level of safety for acute toxicity, defined by the analysis of behavioral changes, mortality, and histopathology, showing a significant anti-inflammatory effect in zebrafish at all doses, showing that ExtHF was very efficient in preventing the formation of edema, in addition, it was also revealed that ExtHF has a great effect in reversing the edema which is already installed.

Conclusion:
Molecular docking studies revealed that the eleutherol molecule isolated from E. bulbosa has a dual inhibition profile against cyclooxygenase-1 and 2.
Web-based Vulnerability Analysis and Detection
Authors: Yadav Narendra Singh , Rounak Ritek , Sharma Prakash Chandra 
Published: December 2024

Background:
In today’s digital world, web-based applications are widely used across organizations,
making them a primary target for breaches, hacking attempts, data theft, and unauthorized
access. Ensuring robust security through vulnerability analysis and detection is critical to mitigate
emerging threats and prevent potential exploits.

Objective:
This research aims to develop and demonstrate a novel approach to web-based vulnerability
assessment by combining advanced automated scanning tools with human expertise. The
study introduces a modular, flexible, and efficient scanning tool capable of detecting critical vulnerabilities
in web applications.

Methods:
The proposed tool is built using Python and Selenium and employs a modular architecture
with regular expression-based detection techniques. The scanner identifies vulnerabilities such
as SQL injection, cross-site scripting (XSS), file inclusions, command injection, and more. A ranking
framework is introduced to prioritize fixes based on exploiting potential, severity, and patch
availability. The tool's performance was evaluated on real-world web applications to assess its accuracy,
detection speed, and effectiveness compared to traditional methods.

Results:
Experimental results highlight significant improvements in vulnerability detection accuracy
and scanning speed. The tool successfully identified a broad range of vulnerabilities, including
complex and dynamic ones, outperforming traditional scanning techniques. The modular design and
automation enabled faster and more flexible vulnerability detection across diverse web platforms.

Conclusion:
This research provides a holistic and practical approach to web-based vulnerability assessment,
combining advanced automated scanning with human analysis for optimal results. The
introduced tool offers a reliable solution for detecting and prioritizing vulnerabilities, empowering
organizations to enhance their cybersecurity defenses. By improving detection accuracy and efficiency,
this study contributes to advancing web security practices and provides actionable insights
for organizations navigating the evolving digital landscape.
Prioritizing Trust in Podiatrists’ Preference for AI in Supportive Roles Over Diagnostic Roles in Health Care: Qualitative Interview and Focus Group Study
Authors: Tahtali Mohammed A , Snijders Chris C P , Dirne Corné W G M , Le Blanc Pascale M 
Published: December 2024

Background
As artificial intelligence (AI) evolves, its roles have expanded from helping out with routine tasks to making complex decisions, once the exclusive domain of human experts. This shift is pronounced in health care, where AI aids in tasks ranging from image recognition in radiology to personalized treatment plans, demonstrating the potential to, at times, surpass human accuracy and efficiency. Despite AI’s accuracy in some critical tasks, the adoption of AI in health care is a challenge, in part because of skepticism about being able to rely on AI decisions.

Objective
This study aimed to identify and delve into more effective and acceptable ways of integrating AI into a broader spectrum of health care tasks.

Methods
We included 2 qualitative phases to explore podiatrists’ views on AI in health care. Initially, we interviewed 9 podiatrists (7 women and 2 men) with a mean age of 41 (SD 12) years and aimed to capture their sentiments regarding the use and role of AI in their work. Subsequently, a focus group with 5 podiatrists (4 women and 1 man) with a mean age of 54 (SD 10) years delved into AI’s supportive and diagnostic roles on the basis of the interviews. All interviews were recorded, transcribed verbatim, and analyzed using Atlas.ti and QDA-Miner, using both thematic analysis for broad patterns and framework analysis for structured insights per established guidelines.

Results
Our research unveiled 9 themes and 3 subthemes, clarifying podiatrists’ nuanced views on AI in health care. Key overlapping insights in the 2 phases included a preference for using AI in supportive roles, such as triage, because of its efficiency and process optimization capabilities. There is a discernible hesitancy toward leveraging AI for diagnostic purposes, driven by concerns regarding its accuracy and the essential nature of human expertise. The need for transparency and explainability in AI systems emerged as a critical factor for fostering trust in both phases.

Conclusions
The findings highlight a complex view from podiatrists on AI, showing openness to its application in supportive roles while exercising caution with diagnostic use. This result is consistent with a careful introduction of AI into health care in roles, such as triage, in which there is initial trust, as opposed to roles that ask the AI for a complete diagnosis. Such strategic adoption can mitigate initial resistance, gradually building the confidence to explore AI’s capabilities in more nuanced tasks, including diagnostics, where skepticism is currently more pronounced. Adopting AI stepwise could thus enhance trust and acceptance across a broader range of health care tasks, aligning technology integration with professional comfort and patient care standards.