bluuebunny/crossref_metadata_2025_split huggingface dataset:
Aspects of diagnosis and providing care for interstitial lung diseases in a specialized center
Authors: Leshchenko I. V. , Glushkova T. V. , Trifanova N. M. , Esaulova N. A. 
Published: December 2024

The problem of timely diagnosis of interstitial lung diseases (ILD) remains relevant today.The aim. To describe the aspects of diagnosis, treatment, and providing care for ILD in a specialized center.Results. During 2023, a panel of specialists examined 438 patients with ILD out of 2 373 (18.4%) at the prehospital stage who were referred for consultation to a specialized center. In the end, 181 patients with ILD were hospitalized for invasive diagnostic procedures and the decision upon prescribing antifibrotic therapy. The characteristics of patients with various clinical forms of ILD included in the register (n = 134) and the distribution of antifibrotic drugs are presented. The clinical and functional and computed tomography (CT) patterns in the patients receiving antifibrotic therapy (AFT) were analyzed.Conclusion. The organizational, diagnostic and therapeutic algorithm and routing of patients with ILD on the basis of a specialized federal institution allows solving the problems of ILD diagnosis with high professionalism and successfully monitoring the patients on AFT.
Prophet Muhammad, the Greatest Forgiveness in the History, the Eagle Flag, and the Marvelous Strategy for Peaceful Opening of Mecca
Authors: Hopkinson Eckhart Christopher 
Published: December 2024

This historical research discusses the conquest of Mecca. It proves that the Hudaibiyah peace treaty was first violated by Quraysh. This paper also studies the color, the name, and the message of the flag of the Prophet Muhammad in the Mecca conquest. It has been shown that the idea of the flag with the word punishment written on it, is wrong or is a carefully designed lie. It has been proved that the Muslims’ flag had been a black flag called the Eagle flag and this type of flag with this color and this name had been previously used by Meccans (Quraysh) in battles. The name of the Eagle flag dates back to the use of the eagle as the symbol of power on the flags of the ancient empires. The message of the flag of the Prophet Muhammad could have never been the punishment because he never punished the Quraysh and did not ever decide to do that. It has also been explained that Prophet Muhammad organized a marvelous plan to peacefully come back to his homeland Mecca. Prophet Muhammad suffered from Quraysh for more than 21 years but after the Mecca conquest, while he had the opportunity to revenge and no one would blame him for that, by his inspiring act of forgiveness, he made a great moment in history. This article shows that Prophet Muhammad recorded the greatest forgiveness in history. Some other carefully designed lies about the conquest of Mecca are shown to be deliberate distortions of the history by some authors to defame Prophet Muhammad.
Panorama sobre los mandatos de género en infancias y jóvenes hispanohablantes: Una revisión sistemática
Authors: Hernández-Tique Pamela del Carmen , Córdova-Hernández Juan Antonio , Castellanos-Suarez Viviana 
Published: December 2024

Objective: To learn about the panorama of children, adolescents and young people of the Hispanic population regarding traditional gender mandates through scientific literature.
Materials and methods: A systematic review derived from a qualitative analysis of the scientific literature on gender mandates, stereotypes, roles and sociocultural representations in children and adolescents was carried out; the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement in its recent version 2020 was used for the writing. For the search of scientific evidence, known databases were used; only articles published in nationally and internationally indexed journals were considered. The DeSC Thesaurus was used to identify keywords.
Results: The quality of the report was evaluated with the PRISMA guideline and the methodological quality with the AMSTAR-2 check-list, resulting in a total of 13 articles. Subsequently, we proceeded to review the articles identified by means of the ICrESAI and IMeCI instruments to evaluate the usefulness of the studies, resulting in a total of 10 articles.
Conclusions: From the analysis, it was concluded that hegemonic gender roles and stereotypes are still present in the individual and/or collective behaviors and discourses of the population, including BGT and youth. However, there is a tendency for the Spanish-speaking child, adolescent and youth population to change towards alternative concepts and ways of being men and women.

Keywords: Gender; Childhood; Youth.
Consumo de alcohol y deterioro cognitivo de atención y memoria en trabajadores de la construcción
Authors: Sánchez-Dominguez Juan Pablo , Torres-Zapata Angel Esteban , Martínez Córdova Brillith de los Ángeles 
Published: December 2024

Objective: To describe the levels of cognitive impairment in attention and memory in construction workers with alcohol consumption, residents of a town in southeastern Mexico.
Material and Methods: The research had a quantitative, cross-sectional and descriptive approach. The sample was selected by convenience. The Alcohol Use Disorders Identification Test [AUDIT] was used to determine the level of alcohol consumption and the Montreal Cognitive Assessment Test [MoCA] was used to identify cognitive impairment of attention and memory.
Results: according to the results, 43% of the participants showed a level of alcohol dependence. With respect to the cognitive functions assessed, it was determined that 53% of the workers assessed were globally at a level of mild cognitive impairment. When evaluating attention, 50% reached the normal level and 50% presented mild cognitive impairment. For memory, 43% of the participants were at the level of moderate impairment or probable dementia.
Conclusions: the prevalence rates in the levels of memory impairment in the population with alcohol consumption studied are significant, aggravating the situation in construction employees where this function is essential to perform daily tasks that if not performed properly put the lives of all employees at risk.

Keywords: Alcoholic beverage consumption, Cognition; Memory; Workers.
Análisis de la relación entre la Reserva Cognitiva y la Satisfacción Vital en una muestra de personas mayores de 60 años y cognitivamente activas de la localidad de Villajoyosa
Authors: Signes Solbes Mercedes , Bonete López Beatriz , Wobbeking Sánchez Marina 
Published: December 2024

Theoretical Framework: Given the aging population, the challenge arises of facing the increased probability of suffering from pathological aging. One of the most effective ways to do this is by promoting active aging, which aims to achieve an optimal quality of life. Cognitive reserve (CR) plays an essential role in this, which has been related to life satisfaction and has been proposed as a protective factor against cognitive deterioration. This work aims to analyze the relationship between CR and life satisfaction in an older population sample. Method: To this end, the Folstein Minimum Mental State, the Cognitive Reserve Scale, the Cognitive Reserve Questionnaire and the Vital Purpose Test are administered to a sample of 61 older people who attend the Workshops for Active Aging and Healthy from the Department of Social Services and Equality of the Villajoyosa City Council. Results: The results show an assessment between the criterion variables and a positive linear relationship between educational level and CR. Conclusions: These types of studies in which the keys to improving the quality of life of older people are evaluated are currently an immediate need.
WITHDRAWN: Implementation of UPFC and Renewable Energy Resources using Chaotic African Vulture Optimization Algorithm to Study the sustainablity of power system under Economical and Environmental Aspect
Authors: Mondal Basudeb , Biswas Soumen , Bhattacharya Anagha , Dutta Susanta , Chatterjee Rajesh Kumar , Akhtar Md Amir Khusru , Kumar Mohit , Chatterjee Mukesh Kumar , Verma Sahil , Khurma Ruba Abu , Mallik Saurav , Shah Mohd Asif 
Published: December 2024

Abstract

The full text of this preprint has been withdrawn by the authors due to author disagreement with the posting of the preprint. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Transition from Magmatic to Phreatomagmatic Eruptions in Young Ciremai Volcano, Indonesia: Insights from Stratigraphy, Componentry, and Textural Analysis of Tephra Deposits
Authors: Hamzah Wildan Nur , Ohba Tsukasa , Gurusinga Muhammad Andriansyah , Moktikanana Mradipta Lintang Alifcanta , Indriyanto Jananda Nuralam , Hoshide Takashi , Abdurrachman Mirzam , Kurniawan Idham Andri , Fadlin Fadlin 
Published: December 2024

Abstract

Vulcanian eruptions, characterized by intermediate magma compositions, pose significant hazards due to their potential for both magmatic and phreatomagmatic fragmentation. The Young Ciremai volcano located in Indonesia has undergone recent phreatic-phreatomagmatic eruptions (from 1698 to 1951), with previous eruptions likely exhibiting both magmatic and phreatomagmatic fragmentations. In order to reconstruct the eruptive histories and elucidate the fragmentation mechanism, we integrate stratigraphic analysis, grain size distribution, componentry, bulk XRD analysis of fine ash, and petrographic analysis, which encompassed the morphometry, vesicularity, and crystallinity of ash particles. The results indicate a complex eruption history characterized by changing fragmentation mechanisms. Magmatic fragmentation correlates with the Vulcanian eruption style, which is characterized by diverse grain size distributions and higher vesicle number densities. The interactions between magma and water drive phreatomagmatic fragmentation, characterized by predominant finer ash exhibiting blocky textures and lower vesicle number densities. The eruptive evolution is described into three distinct stages: Stage 1 indicates magmatic fragmentation resulting from conduit plugging, Stage 2 signifies phreatomagmatic activity originating from the interaction with shallow groundwater, and Stage 3 emphasizes phreatic-hydrothermal activity with continuous recent solfatara manifestation. The results highlight the potential hazards of alternating magmatic and phreatomagmatic eruptions, including pyroclastic density currents and sudden phreatic explosions.
Long-term outcome of laparoscopic ventral rectopexy for full-thickness rectal prolapse: The PEXITY Study.
Authors: Barra Morgane , Trilling Bertrand , Mastronicola Giorgia , Sage Pierre-Yves , Roudier Anouk , Foote Alison , Tidadini Fatah , Fournier Joey , Faucheron Jean-Luc 
Published: December 2024

Abstract

Background
Laparoscopic ventral mesh rectopexy (LVR) has gained increasing acceptance for the treatment of patients with a full-thickness rectal prolapse (RP), but the literature on follow-up of at least ten years is scarce. We studied recurrence rate, long-term functional results, and quality of life in patients who had LVR for RP more than twelve years ago.
Method
The study population consisted of patients who could be contacted among the 175 who had undergone LVR for RP and whose short and medium-term outcomes were published in 2012. We studied the long-term recurrence rate (Kaplan-Meier), functional outcome (Wexner and ODS scores), quality of life (EuroQol), and satisfaction of the patient through clinical examination(s), specific scores, and questionnaires.
Results
Of the 175 patients, 14 patients had exclusion criteria, 57 had died, and 42 were lost to follow-up, leaving 62 patients for analysis. Seventeen patients presented with a recurrence (10.5%) at the 10-year follow up. The only statistically significant risk factor for recurrence was recurrent RP (HR = 11.5 (2.54–52.2), p = 0.002). The median faecal incontinence score was 4 (0–10) and significantly worse in patients who had a recurrence (12 (7–13) vs 3 (0–9); P = 0.016). The median obstructive defaecation score was 6 (3–12). The median quality of life score was 7 (6–8). Most patients who presented with a recurrence said they would undergo the operation again and recommended it, as would patients with no recurrence.
Conclusion
LVR for RP is a safe and efficient technique with sustainable long-term results that shows long-term efficacy at more than 10 years after the operation.
Banana peels as a potential source of functional Nano bioactive molecules; antioxidant, antimicrobial and anticancer activity against HepG2 cells
Authors: Hassanin Donia S. , Abdelhady Sahar R. , Ghazi Adel Kh. , Badawy Waleed Z. 
Published: December 2024

Abstract

Nanoparticles of blanched green banana peels (BGBP) were prepared using physical technique (by grinding) in order to avoid any harm effect on human health that could occurred when metals were used for preparing nanoparticles size (NPs) of banana peels. This work was designed to study the preparation of NPs from BGBP and evaluate the activities of their extracts as antioxidant, antimicrobial and anticancer agents. The size and shape of nanoparticles were analyzed using Scanning Electron Microscope (SEM) and Transmission Electron Microscope (TEM), Fourier transform IR (FT-IR) for identifying organic and polymeric materials, and X-ray diffraction (XRD) to determine the materials crystalline structure. Bioactive compounds (mainly phenolic compounds) were recovered by extracting banana peels weather from normal size or (NPs). The extracted bioactive compounds were subjected to evolution as antioxidant, antimicrobial and anticancer agents. Dealing with this study, it was concluded that bioactive compounds extracted from NPS of BGBP showed antioxidant, antimicrobial and anticancer activities higher than those extracted from the normal size ones. So, it is strongly recommended to use NPs of BGBP for producing these bioactive compounds since these compounds are important to protect humans against a lot of dangerous diseases.
From Collective Intelligence to Global Optimisation: An Agent-based Model Approach
Authors: Garzón Martha , Álvarez-Pomar Lindsay , Rojas-Galeano Sergio A. 
Published: December 2024

Abstract

Drawing inspiration from online question-and-answer (Q&A) communities often regarded as embodiments of Collective Intelligence (CI), this study investigates the dynamics of reputation-driven and distributed network interactions in multi- agent systems as a model for problem-solving in global optimisation. We explore the interplay among diverse participants, including Solvers motivated by reputation and Users seeking net benefits, recognising its critical role in fostering success within these communities. Our study translates the principles of CI inherent in these interactions into a novel agent-based search algorithm for unconstrained optimisation of continuous-valued cost functions. Empirical testing across a suite of established benchmark problems allows a comparative analysis of its perfor- mance against alternative agent-based methodologies. These findings underscore the algorithm’s advantages across diverse optimisation 2D landscapes, highlighting the potential of the CI framework as a promising avenue in metaheuristic research. They illustrate how the interaction between individual actors and the collective, favours the emergence of global solutions in unknown environments, mirroring similar emergent phenomena observed in social organisations.
A new genus and two new species of Auriculariales (Basidiomycota) from southwest China, evidenced by morphological characteristics and phylogenetic analyses
Authors: Dong Junhong , Xu Ying , Jiang Qianquan , Hosen Md. Iqbal , Zhao Changlin 
Published: December 2024

Abstract

Wood-inhabiting fungi, a remarkably diverse group morphologically, phylogenetically, and ecologically, play a fundamental role in ecosystem processes, particularly in wood degradation and the recycling of organic matter. Recognized as pivotal contributors to the intricate balance of forest ecosystems, these fungi are renowned as “key players” due to their enzymatic prowess, effectively breaking down woody components like lignin, cellulose, and hemicellulose. In the present study, a new wood-inhabiting fungal genus Nodulochaete, and two new species N. fissurata and N. punctata, collected from southwest China, are proposed based on a combination of morphological features and molecular evidence. The new genus Nodulochaete is characterized by the resupinate basidiomata with smooth to tuberculate hymenophore, a dimitic hyphal system with clamped generative hyphae, presence of abundantly nodulose hyphidia, ellipsoid to ovoid, longitudinally septate basidia, and cylindrical to allantoid basidiospores. Sequences of the internal transcribed spacers (ITS) and the large subunit (nrLSU) of the nuclear ribosomal DNA (rDNA) markers of the studied samples were generated. Phylogenetic analyses were performed with Maximum Likelihood, Maximum Parsimony and Bayesian Inference methods. Phylogenetic analyses of ITS + nrLSU nuclear RNA gene regions show that Nodulochaete forms a monophyletic lineage within the order Auriculariales. Furthermore, two new species N. fissurata and N. punctata were assigned to the genus Nodulochaete.
FairPlay: Improving Medical Machine Learning Models with Generative Balancing for Equity and Excellence
Authors: Theodorou Brandon , Danek Benjamin , Tummala Venkat , Kumar Shivam Pankaj , Malin Bradley , Sun Jimeng 
Published: December 2024

Abstract

Understanding and addressing the innate complexities of applying machine learning to clinical outcome prediction requires a deep knowledge of the unique challenges inherent in this field. These challenges are particularly pronounced due to imbalanced datasets and the sensitive nature of tasks, especially in scenarios where critical outcomes are rare and ensuring equitable treatment across diverse patient groups is paramount. Despite attempts to improve these models and to bridge the divide in performance between different gender, racial, and ethnic groups, the disparity in representation, exacerbated by the overall scarcity of positive labels, contributes to biased predictions and decisions, further perpetuating health disparities.
This paper proposes a powerful approach using synthetic patient data, FairPlay, offering a dual solution: enhancing overall algorithmic performance while mitigating bias by bolstering un-derrepresented populations. By generating realistic, anonymous synthetic data echoing real patient characteristics through an advanced , large language model-based approach, we not only improve representation without compromising privacy but also improve the general performance of algorithms by exposing them to a richer variety of patient profiles.
We demonstrate the effectiveness of this approach through a variety of experiments on multiple datasets. We showcase that FairPlay can improve the performance of mortality prediction both overall and across multiple different groups. Specifically, we find that FairPlay can improve F1 Score averaged across a suite of downstream models by up to 21% without accessing any additional data or changing any of the downstream model training regimens. It achieves this across every subgroup while simultaneously shrinking the gap between different subgroup performances, as demonstrated through the universal improvement of a pair of fairness metrics across four different experimental setups.
RUL Prediction of Continuous Casting Machine Based on Deep Transfer Learning
Authors: Xu Erbao , Hua Yu , Zou Fangfang , Chen Xi 
Published: December 2024

Abstract

The operation and maintenance of continuous casting machines involve continuous casting rolls with varying degrees of newness, age, and maintenance history. This variability poses challenges in gathering adequate fault failure data for all continuous casting rolls, resulting in limited effectiveness of remaining useful life (RUL) prediction methods based on deep learning. This limitation arises from the insufficient availability of fault labeling data. To tackle this issue, we first construct a CNN-BiLSTM model for predicting the RUL of continuous casting rolls, utilizing available fault failure data. Subsequently, we introduce the concept of transfer learning, where the source domain consists of the old continuous casting roll dataset with ample fault failure data, while the target domain comprises the new continuous casting roll dataset with limited fault failure data. The network structure and parameters of the model are adjusted through the reciprocal exchange of data between the source domain and the target domain. This leads to the development of the TL-CNN-BiLSTM RUL prediction model, which combines transfer learning and deep learning. The efficacy of this model in predicting the RUL of continuous casting rolls with varying levels of fault failure data accumulation is subsequently demonstrated through illustrative examples.
Detailed Study of the Czernik 1 Open Star Cluster Using Gaia DR3: Detection of a Tidal tail and elongated halo
Authors: Ahmed Nasser M. , Darwish Mohamed S. 
Published: December 2024

Abstract

In this paper, we study Czernik 1 Open stars Cluster in more details using Gaia Data Release 3 (DR3). Czernik 1 is a poorly studied open star cluster, for which new results are found in the current study. In order to estimate the membership, we have used pyUPMASK python package, HDBSCAN algorithm. Moreover from photometric and astrometric date of Gaia DR3, all the astrophysical parameters of the cluster, the center, cluster radius, radial density distribution, color-magnitude diagrams, distance, age, and reddening of Czernik 1 are calculated. Also, the luminosity and mass functions, the total mass and the relaxation time of the cluster are estimated.
One of main result, the cluster has a compact core and extended corona which is elongated towards tangent velocity which means the cluster is affected with the tidal force of Galaxy or by shear force embedded in differential rotation. Moreover, the proper motions (µ α cosδ , µ δ), and parallaxes (ϖ) are-2.707 ± 0.251 ,-0.886 ± 0.174 and 0.263 ± 0.042 , respectively. Combine King model with pyUPMASK membership, we get 1449.4± 67.80 stars with total mass 2256.0± 59.50 M ⊙. From PARSEC stellar iscochrones fit , we get all physical parameters. Our estimates for the average cluster age and the relaxation time are 226.0± 12.30 and 143.1± 12.54 Myrs, respectively. The color excess is found to be 1.100 ± 0.040 and then the cluster distance modulus has been determined to be 12.834± 0.080 mag which is corresponding to distance 3688.1± 261.5 parsecs. Finally, The slope value of the mass function (α) of Czernik 1 is found to be 1.77 ± 0.02 which is much more less than Salpeter value.