bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gastric neuroendocrine hyperplasia and dysplasia in a patient with Lynch Syndrome
Authors: Yihan LI  
Published: November 2024

Lynch syndrome (LS), previously known as hereditary non-polyposis colorectal cancer (HNPCC), is an autosomal dominant disorder that predisposes individuals to various malignancies, most commonly adenocarcinomas. While low-grade neuroendocrine tumors (NETs) associated with Lynch syndrome are rarely reported, gastric neuroendocrine tumors (g-NETs) account for less than 1% of all gastric tumors. This case report presents a rare occurrence of gastric neuroendocrine hyperplasia and dysplasia in a 68-year-old female diagnosed with Lynch syndrome. The patient, previously treated for well-differentiated adenocarcinoma of the colon, was found to have a polyp in the gastric fundus during routine surveillance. Histological analysis revealed adenocarcinoma alongside neuroendocrine cell proliferation, confirmed by synaptophysin immunostaining. This case highlights a novel association between Lynch syndrome and gastric neuroendocrine hyperplasia/dysplasia. This finding raises awareness among clinicians regarding Lynch syndrome in patients with low-grade NETs or neuroendocrine precursors and underscores the need for comprehensive surveillance and further research to understand the underlying mechanisms and clinical implications. It suggests that mutations in mismatch repair (MMR) deficiency may play a role in neuroendocrine cell proliferation, expanding the spectrum of Lynch syndrome-associated tumors, and pointing to new directions for studying the molecular pathways and pathogenesis of NETs.
HOW DOES ISLAM SUPPORT THE GREEN ECONOMY? A STUDY ON TURATH PERSPECTIVE
Authors: Mirzal Husnul , Zaki Irham 
Published: November 2024

This study addresses how Islam supports a green economy using a thematic analysis of the turath. The results show that Islam strongly supports the implementation of the green economy. The green economy has been a part of Islamic teachings long before its conception in this modern era. In Islam, there are the four main goals of the green economy, namely creating an economy that is inclusive and fair, environmentally friendly, resources sustainable, and resources efficient. Islam can provide guidance and for solutions to all human problems, including those related to the economy and environment. As a policy recommendation, the Government and related parties can leverage on a religious approach to develop a green economy by for examples including Islamic values as well as involving Islamic institutions and Islamic figures in the National Green Economy Development Roadmap such that its goals can be better achieved.
GREEN SUSTAINABILITY AND FINANCIAL PERFORMANCE OF HALAL FOOD COMPANIES: EVIDENCE OF MALAYSIA
Authors: Rahman Md Mahfujur , Ahmad Zaki , Mokal Mahvish Nawaz , Aziz Muhamad Fikri , Khotib Nor Aina Mohd 
Published: November 2024

With growing concerns about environmental degradation and its impact on global ecosystems, the Halal food industry is facing increasing scrutiny and pressure to adopt sustainable practices. This research examines the relationship between green sustainability and the financial performance of Halal food companies in Malaysia. Applying a dynamic panel modelling to a sample of 75 companies over 10 years, we document diverse effects of sustainable practices on firms’ financial performance. More specifically, we note that efficient material usage is positively associated with both Return on Assets (ROA) and Tobin's Q (TBQ). Likewise, by reducing costs and enhancing the company's public image, effective emission management boosts both ROA and TBQ. However, energy-related initiatives negatively impact both ROA and TBQ. Biodiversity efforts, although costly in the short term, contribute to improved long-term market valuation. In a similar vein, while its decreases short-term profitability, environmental sustainability positively influences market valuation. Finally, water management initiatives often lead to decreased ROA and TBQ, which possibly is related to their high costs. From the results, policymakers should support efficient material usage and emission management through incentives to enhance profitability and market valuation. Additionally, they should consider providing financial assistance for biodiversity and environmental compliance initiatives while evaluating ways to mitigate the high costs associated with energy and water management to ensure sustainable industry growth.
Dengue Fever in Yemen: A Five-Year Review, 2020–2024
Authors: Edrees Wadhah Hassan , Al-Shehari Wadee Abdullah , Al-Haddad Ahmed Mohammed , Alrahabi Lutf Mohammed , Al-Haddad Osama Saleh , Al-Halani Ali Ahmed 
Published: November 2024

Abstract

Dengue fever (DF) is a mosquito-borne viral infection that has recently become a burden worldwide, particularly in low-income countries, such as Yemen. There have been no epidemiological studies on dengue fever in recent years in Yemen. Therefore, based on secondary data, this study aimed to shed light on the epidemiology of dengue fever in Yemen between 2020 and 2024.
Methods: This was a retrospective analysis using secondary data recorded between January 2020 and August 2024 in the Surveillance Center of the Ministry of Health and Population in Aden. The data was gathered in a Microsoft Excel file and statistically analyzed.
Results: A total of 104562 dengue cases were enrolled in this retrospective analysis. A higher proportion of DF was recorded in males (58.10%), the age group of 15–24 years (26.11%), in 2020 (30.65%), the Taiz governorate (39.17%), and in the autumn (28.9%). The total incidence of DF was 103.09 per 10,000 individuals. In addition, the highest rate was observed among males (118.3), aged 25–34 years (91.73), in 2020 (31.39), and in the Shabwah governorate (176.96). In general, the total fatality rate was 217 (0.21%), with a high rate among females (0.23%), aged ≥ 65 years (0.75%), in 2020 (0.37%), and the Aden governorate (0.82%).
Conclusion: These findings indicate that the number of dengue fever cases has increased in Yemen over the last few years. Therefore, it is critical to implement an effective program to prevent and control dengue vector transmission in Yemen.
Robust Automated Harmonization of Heterogeneous Data Through Ensemble Machine Learning: Algorithm Development and Validation Study
Authors: Yang Doris , Zhou Doudou , Cai Steven , Gan Ziming , Pencina Michael , Avillach Paul , Cai Tianxi , Hong Chuan 
Published: November 2024

Abstract

Background
Cohort studies contain rich clinical data across large and diverse patient populations and are a common source of observational data for clinical research. Because large scale cohort studies are both time and resource intensive, one alternative is to harmonize data from existing cohorts through multicohort studies. However, given differences in variable encoding, accurate variable harmonization is difficult.

Objective
We propose SONAR (Semantic and Distribution-Based Harmonization) as a method for harmonizing variables across cohort studies to facilitate multicohort studies.

Methods
SONAR used semantic learning from variable descriptions and distribution learning from study participant data. Our method learned an embedding vector for each variable and used pairwise cosine similarity to score the similarity between variables. This approach was built off 3 National Institutes of Health cohorts, including the Cardiovascular Health Study, the Multi-Ethnic Study of Atherosclerosis, and the Women’s Health Initiative. We also used gold standard labels to further refine the embeddings in a supervised manner.

Results
The method was evaluated using manually curated gold standard labels from the 3 National Institutes of Health cohorts. We evaluated both the intracohort and intercohort variable harmonization performance. The supervised SONAR method outperformed existing benchmark methods for almost all intracohort and intercohort comparisons using area under the curve and top-k accuracy metrics. Notably, SONAR was able to significantly improve harmonization of concepts that were difficult for existing semantic methods to harmonize.

Conclusions
SONAR achieves accurate variable harmonization within and between cohort studies by harnessing the complementary strengths of semantic learning and variable distribution learning.
Families’ Experiences With Family-Focused Web-Based Interventions for Improving Health: Qualitative Systematic Literature Review
Authors: Zhu Diana , Dordevic Aimee L , Davidson Zoe E , Gibson Simone 
Published: November 2024

Background
eHealth interventions can favorably impact health outcomes and encourage health-promoting behaviors in children. More insight is needed from the perspective of children and their families regarding eHealth interventions, including features influencing program effectiveness.

Objective
This review aimed to explore families’ experiences with family-focused web-based interventions for improving health.

Methods
Five databases were searched on October 26, 2022—updated on October 24, 2023—for studies reporting qualitative data on participating children or their caregivers’ experiences with web-based programs. Study identification was performed in duplicate and studies were independently appraised for quality. Thematic synthesis was undertaken on qualitative data extracted from the results section of each included article.

Results
Of 5524 articles identified, 28 articles were included. The studies examined the experiences of school-aged children (aged 5-18 years) and their caregivers (mostly mothers) with 26 web-based interventions that were developed to manage 17 different health conditions or influence health-supporting behaviors. Six themes were identified on families’ experiences: connecting with others, agency of learning, program reputability or credibility, program flexibility, meeting participants’ needs regarding program content or delivery, and impact on lifestyle.

Conclusions
Families positively perceived family-focused web-based interventions, finding value in quality connections and experiencing social support; intervention features aligned with behavioral and self-management principles. Key considerations were highlighted for program developers and health care professionals on ways to adapt eHealth elements to meet families’ health-related needs. Continued research examining families’ experiences with eHealth interventions is needed, including the experiences of families from diverse populations and distinguishing the perspectives of children, their caregivers, and other family members, to inform the expansion of family-focused eHealth interventions in health care systems.

Trial Registration
PROSPERO CRD42022363874; https://tinyurl.com/3xxa8enz
Efficacy of Bacillus clausii UBBC-07 in the prevention of antibiotic-associated diarrhea in children
Authors: Beketova H.V. , Koiro O.O. , Bohdanova S.S. , Bulhakova M.S. , Heorhitsa K.M. , Il’kiv O.B. , Kavka О.R. , Kmit’ О.Z. , Kukhar О.V. , Liubetska V.І. , Maleiko V.V. , Matiukhina І.А. , Medvedska К.О. , Pavchak N.B. , Percheklii К.А. , Semenchuk V.V. , Sotnichenko Y.О. , Tomashiuk U.М. , Tsvynda N.І. , Shalimanova М.Y. 
Published: November 2024

The effectiveness of the probiotic strain Bacillus clausii UBBC-07, was evaluated in the prevention of antibiotic-associated diarrhea. The study analyzed the treatment outcomes of 939 patients aged 28 days to 18 years with bacterial infections of various localizations, receiving systemic antibacterial therapy. Patients who took Bacillus clausii UBBC-07 simultaneously with antibiotics (n = 671) were assigned to the treatment group, while those who did not receive the probiotic on the background of antibiotic therapy (n = 268) were included in the control group. The treatment outcomes were evaluated in 794 patients (565 from the treatment group and 229 controls), for whom the prescribed antibacterial agent was known. In the treatment group, there was a significantly lower incidence of gastrointestinal disturbances compared to the control group, specifically diarrhea (5.5 vs. 14.0 %) and abdominal pain (3.7 vs. 7.4 %). Prophylactic use of the probiotic reduced the frequency of developing antibiotic-associated diarrhea in general by 2.5 times, with a reduction of 2.5 times among patients receiving penicillins, of 2.4 times among those treated with cephalosporins, and of 5.1 times for those who took macrolides. Bacillus clausii UBBC-07 also decreased the duration of loose stools in patients with diarrhea (1.84 days in the treatment group vs. 2.66 days in the control one) and the average number of days with abdominal pain in those who reported discomfort (1.25 vs. 1.71 days, respectively). Thus, the use of Bacillus clausii UBBC-07 from the first day of antibacterial therapy in children contributes to the effective prevention of antibiotic-associated diarrhea, significantly improving patients’ quality of life, acce­lerating their recovery, and reducing the likelihood of complications.
Roots of Lebanon’s Sectarian Politics
Authors: El Baba Judy 
Published: November 2024

This paper contends that the French Mandate significantly contributed to the institutionalisation of sectarianism in post-colonial Lebanese politics, and it investigates the Mandate’s enduring impacts on confessional governance. Building on existing research on the legacies of the Mandate and the development of sectarianism in Lebanon, the paper explores the Mandate’s roots of Lebanon’s sectarian politics. The analysis examines religious biases by the colonial administration and the National Pact of 1943. By doing so, this paper argues that the political representation in Lebanon can be traced back to sectarian connotations through religious quotas in the parliamentary system, patronage networks, and the fragmentation of Lebanese identity. This phenomenon is known as sectarianisation—a term that is used when political representatives exploit sectarian grudges within the population to acquire power. While other factors play a role in the development of sectarianisation, this paper argues that the French Mandate functions as the primary catalyst in the institutionalisation of sectarianism in Lebanon. Consequently, the central research question this paper seeks to answer is: What are the legacies of the French Mandate on the sectarianisation of post-colonial Lebanese politics?
libros que generaron alerta y preocupación a los militares
Authors: Palomino Guerrero Margarita 
Published: November 2024

El presente artículo reflexiona sobre las editoriales de Sergio García Ramírez publicadas en el periódico El Universal, bajo el título "Los libros que generaron alerta y preocupación a los militares", el autor destaca un suceso de relevancia, el cual, según su perspectiva, desencadenó una serie de acciones irregulares que culminaron en la declaración de inconstitucionalidad de ciertos procedimientos llevados a cabo por la Agencia Nacional de Aduanas. Posteriormente, García Ramírez elogia el liderazgo ejercido por don Sergio durante la pandemia, destacando su papel como líder en la búsqueda de alternativas para mitigar los efectos de la crisis sanitaria.
VIRTUAL DESIGN OF NOVEL OF ORALLY BIOAVAILABLE PIPERAZINE INHIBITORS OF ENOYL-ACYL CARRIER PROTEIN REDUCTASE OF MYCOBACTERIUM TUBERCULOSIS WITH FAVORABLE PHARMACOKINETIC PROFILES
Authors: Kouman Koffi Charles , Kouassi Afﬁba Florance , Fagnidi Yves Kily Hervé , Fofana Issouf , Allangba Koffi N’Guessan Placide Gabin , Guego Mélalie Kéïtaépouse , Megnassan Eugene 
Published: November 2024

Background: During the previous decade, Anti-tuberculosis therapies were confronted with drug-resistant strains. We report here virtual design and evaluation of novel piperazine (PPZ) as inhibitors of InhA-Mt endowed with favorable predicted pharmacokinetic profiles.
Method: Three-dimensional (3D) models of InhA-PPZx complexes were prepared by in situ modiﬁcations of the crystal structure of InhA-PPZ1 (Protein Data Bank (PDB) entry code: 1P44), the reference compound of a training set of 12 PPZs with known experimental inhibitory potencies (IC50exp). First, in the search for active conformation of the PPZ 1-12, we built a gas phase quantitative structure-activity relationships (QSAR) model, linearly correlating the computed enthalpy of the InhA-PPZ complex formation and the pIC50exp. Finally, the VCL filtered by Lipinski’s rule-of-five was screened by the PH4 model and the potencies of the new PPZ analogs obtained were evaluated with the initial QSAR and their pharmacokinetic profile was evaluated.
Results: The VCL of 310,500 PPZs s was filtered down to 19,044 analogs by the Lipinski’s rule. The five-point PH4 screening retained 50 new potent PPZs with predicted inhibitory potencies IC50pre up to 100-times better than that of PPZ1 (IC50exp=160 nM). Predicted pharmacokinetic profile of the new analogs showed enhanced cell membrane permeability, side effect and high human oral absorption compared to current anti-tuberculosis candidates
Conclusions: Combining molecular modeling and PH4 in virtual screening of the VL resulted in the proposed novel potent antituberculotic agent candidates with favorable pharmacokinetic proﬁles.

Peer Review History:
Received 21 July 2024; Reviewed 13 September 2024; Accepted 20 October; Available online 15 November 2024
Academic Editor: Dr. Asia Selman Abdullah, Pharmacy institute, University of Basrah, Iraq, asia_abdullah65@yahoo.com
Average Peer review marks at initial stage: 6.0/10
Average Peer review marks at publication stage: 7.5/10
Reviewers:
Antonio José de Jesus Evangelista, Federal University of Ceará, UFC, Brazil, tony_biomed@hotmail.com
Asmaa Ahmed Mohamed Ahmed Khalifa, Pharos University, Alexandria, Egypt, asmaa.khalifa@pua.edu.eg
Artificial neural network for solving flow shop optimization problem with sequence independent setup time
Authors: Sadki Hajar , Allali Karam 
Published: November 2024

Abstract
In this paper, we will study the permutation flow shop scheduling problem (PFSSP) with sequence independent setup time (SIST). This constraint is the most common encountered in industrial production. In this case, the SIST constraint depends on the technology nature of the machine, as well as the means used to prepare it for the execution of a new job. The purpose of this paper is to develop an artificial intelligence system and to train a neural network model for solving the flow shop scheduling problem. The objective function is to minimize the total completion time, which is known as makespan. The latter is an important task in manufacturing systems. The paper begins by suggesting an exact and four approximate methods: a mixed integer linear programming (MILP), an artificial neural network (ANN), and three e cient heuristics. The first heuristic is based on Johnson’s rule algorithm (ABJR), the second on the Nawaz-Enscore and Ham algorithm (NEH), and the last on the greedy randomized adaptive search procedure algorithm (GRASP). We aim to verify the e ectiveness of our resolution algorithms by considering randomly generated instances with n jobs and m machines in the flow shop factory. Our goal is to determine the optimal sequence of n jobs to be scheduled on m machines. The paper moves to the comparison between the studied heuristics. The numerical results demonstrate that the NEH algorithm outperforms the other approximate methods for our considered problem. Indeed, the NEH heuristic performs a success rate of 82.81% and achieves a minimum relative percentage deviation value of 0.0139%. It was observed that ANN method outperforms GRASP and gives sometimes best results than ABJR. The numerical simulations align with our theoretical postulations given by RPD values.
Dynamic Interest Portrait of Community Users based on Three-way Fuzzy Concept Lattices
Authors: Kai Wang 
Published: November 2024

Abstract
Aiming at the multi-granularity knowledge discovery of users in online community, a method of dynamic user interest portrait based on Three-way Fuzzy Concept Lattice (3WFCL) is proposed to reveal the relationship between long-term and short-term interest drift, which improves the accuracy of the user portrait from a fuzzy perspective. Firstly, the label topic matrix of community users is constructed based on the topic analysis and the dynamic interest modelling is realized. Secondly, the environment migration index is calculated by extracting the topic and sentiment characteristics of the user environment. Meanwhile, interest inheritance is introduced into the calculation of interest characteristics, and interest attenuation vector is established to perceive the short-term interest label set dynamically. Finally, the membership degree of the three-way fuzzy interests is put forward into the multi-feature concept modelling of the long-term and short-term interest labels. Afterwards, the multi-granularity fuzzy association rules are generated to complete the multi-granularity characterization of differentiated interests by constructing the three fuzzy formal contexts. The effectiveness of the proposed method is validated on real data sets. The results show that it is of great significance to utilize the three-way fuzzy concept analysis into user portrait modelling, which is helpful to mine semantic association information and improve the analysis ability of fine-grained interest hierarchy.
Navigating Sustainable Transformation in the Fashion Industry: The Role of Circular Economy and Ethical Consumer Behavior
Authors: Krywalski-Santiago Joanna 
Published: November 2024

Abstract

Objective
This paper explores the sustainable transformation of the fashion industry, focusing on integrating circular economy principles and promoting ethical consumer behavior. It seeks to analyze the environmental, social, and economic impacts of the industry’s operations and identify opportunities for adopting more sustainable practices.

Methodology
A qualitative research approach is used, with expert interviews providing insights into current trends, challenges, and opportunities for sustainable transformation in the fashion sector. The data were analyzed with MAXQDA.

Findings
The research reveals an increasing awareness among both consumers and industry stakeholders regarding the importance of sustainability. This shift is motivated by the recognition of the industry’s significant ecological footprint and the ethical concerns associated with its supply chains. Responsible consumption patterns, such as the rise in second-hand shopping and ethically produced fashion, are becoming more popular. Additionally, circular economy practices–such as recycling materials, designing for longevity, and reducing waste–are identified as key strategies for reducing environmental impacts and improving resource efficiency. Despite these positive developments, there are ongoing challenges, including the need for increased transparency, overcoming greenwashing, and the development of stricter regulatory frameworks.

Value Added
This paper contributes to the growing body of knowledge on sustainable fashion by highlighting the intersection of consumer behavior, industry practices, and circular economy principles. It emphasizes the critical role of collective action and systemic change in fostering a sustainable transformation within the fashion industry.

Recommendations
The paper provides actionable recommendations for industry stakeholders, policymakers, and consumers, encouraging the promotion of transparency, innovation, and regulatory measures to ensure accountability and drive the widespread adoption of sustainable practices.