bluuebunny/crossref_metadata_2025 huggingface dataset:
Calcium Conundrum: Addressing Calcinosis in Juvenile Scleroderma - Insights from a Case Report
Authors: Marushko Tetiana , Kurilina Tetiana , Marushko Yurii , Kulchytska Yeva-Emiliia
Published: January 2025

This clinical case report examines the progression of calcinosis lesions in a 15-year-old female patient with juvenile systemic scleroderma. The patient first exhibited symptoms following furunculosis in 2016, including skin atrophy, joint stiffness and deformities. Over time, multiple subcutaneous nodules and systemic symptoms developed. Clinical evaluations identified anemia, leukopenia, elevated ESR, high ANA titers, and reduced C3 complement levels. Ultrasound and biopsy findings confirmed a systemic inflammatory connective tissue disease characterized by extensive calcinosis. The treatment regimen included methylprednisolone, methotrexate, and symptomatic therapies. However, complications such as pneumonia, phlegmon, and sepsis necessitated adjustments to the therapeutic approach. While systemic inflammatory activity was controlled, calcinosis persisted and progressed, impairing joint mobility. Surgical excision was required for symptomatic management. This case highlights the complexities of treating calcinosis in juvenile systemic sclerosis. It underscores the distinct pathophysiological mechanisms of inflammation and calcinosis, emphasizing the urgent need for novel therapeutic strategies and clinical trials to effectively address calcinosis in these patients.
Sunlight Trapping: Educational Insights and Creative Applications for Future Generations
Authors: Lamberti Veruska , De Luca Roberto
Published: January 2025

Environmental issues have garnered significant attention from younger generations. Students recognize the importance of envisioning sustainable development for countries that have not yet reached full industrialization. Additionally, students are aware that productive processes in industrialized nations must undergo a transition to methods based on renewable energies. In this work, we elucidate the concept of sunlight trapping and suggest some educational applications. Furthermore, to encourage students' creativity and exploration, we briefly discuss feasible applications of the concept of sunlight trapping.
Ensemble of Deep Learning Classifiers and Source Fusion for Improved Malaria Cell Classification
Authors: Demirel Hasan , Akel Mahmoud , Eleyan Alaa
Published: January 2025

Malaria is an infectious disease caused by Plasmodium parasites, and it can be severe if left untreated. Traditional diagnostic methods are costly and prone to human error. However, computer-aided techniques offer a faster and more accurate way to detect malaria viruses. With the vast amounts of available data, deep learning approaches are particularly suited for malaria classification. This paper introduces a method combining original and filtered data through source fusion, improving classification accuracy by up to 7%. Additionally, it proposes fusing the probabilistic decisions of an ensemble of pre-trained CNN classifiers using both original and filtered data. Extensive experiments conducted on a well-known malaria dataset demonstrate that the proposed approach achieves exceptional classification performance, with 100% accuracy, specificity, and sensitivity.
Low-Quality Speech Reconstruction for Deceased Voices: A Hybrid Approach Integrating Noise Reduction, Spectral Patching, and AI-Based TTS/STS Models
Authors: Bao Hsiao-Po
Published: January 2025

Motivated by a deeply personal experience of losing his daughter, the author initiated this study to address the challenge of reconstructing personalized voices from low-quality, fragmented speech samples. The proposed Low-Quality Speech Reconstruction Method (LQSRM) integrates advanced noise reduction, spectral patching, and AI-based Text-to-Speech (TTS) and Speech-to-Speech (STS) technologies to restore coherent, speaker-specific voices. This innovative framework was evaluated using voice data from 10 speaker groups (5 male, 5 female), with a rigorous Mean Opinion Score (MOS) assessment involving 200 participants. Results demonstrated that LQSRM significantly outperformed conventional methods in naturalness and speaker similarity, providing a practical solution for memory preservation, assistive speech tools, and cultural heritage restoration.
Examples of Compact Simply Connected Holomorphic Symplectic Manifolds Which Are Not Formal
Authors: Guan Daniel
Published: January 2025

In this paper, we prove that the complex four dimensional compact holomorphic
symplectic manifold we found earlier is not formal. This gives another
strong consequence that it is not a topological Kahler manifold. We
also conjecture that this is true for the higher dimensional ones.
Novel 2-Thiazolylhydrazone with Druggable Properties for Antifungal Application
Authors: Morais Wallace , Costa Gustavo Oliveira , Pitcella Vinícius , Protti João Victor Vanolli , Moreira Carolina Paula , Gonçalves José Eduardo , Johann Susana , Oliveira Renata Barbosa de
Published: January 2025

Fungal infections have become a growing concern in healthcare, particularly in immuno-compromised individuals, with species like Candida, Cryptococcus, and Sporothrix pos-ing significant challenges due to rising resistance and limited treatment options. In re-sponse, novel antifungal agents are being explored, including thiazolyl hydrazones. This study focuses on the development of a novel thiazolylhydrazone derivative, RW3. RW3 was synthesized to improve water solubility and pharmacokinetic properties. The com-pound demonstrated a broad antifungal spectrum, particularly effective against Crypto-coccus neoformans and Candida auris, with minimal irritant potential and low cytotoxi-city. RW3 showed favorable solubility and high intestinal permeability, indicating poten-tial for oral administration. The results suggest RW3 as a promising lead for further de-velopment as a therapeutic agent for systemic fungal infections. These findings under-score the importance of optimizing drug properties to enhance efficacy and safety profiles, opening the path for the development of innovative antifungal treatments.
Evaluation of Antimicrobial Usage: Supply Chain and Monitoring in the Livestock and Poultry Sector of Pakistan
Authors: Tahir Muhammad Farooq , Wasee Ullah Riasat , Wang Jing , Dukpa Kinzang , Zaheer Muhammad Usman , Bahadur Sami Ullah Khan , Talib Usman , Alam Javaria , Akram Muhammad , Salman Mo , Irshad Hamid
Published: January 2025

Irrational use of antimicrobials in humans, livestock and poultry are often cited as the key drivers of accelerated emergence of antimicrobial resistance (AMR) in humans and animals. In Pakistan, the use of antimicrobials in livestock and poultry is not well-regulated owing to limited and/or ineffective implementation of existing legislations and lack of coordination amongst the key stakeholders. To gather data and information pertinent to the supply chain mapping and the usage of antibiotics in the livestock and poultry sectors of Pakistan, a national workshop among selected influential stakeholders was held in Islamabad, Pakistan during March 2020 to map the supply chain and usage of antibiotics in country. Participants from all relevant organizations identified the supply chain and discussed the status, challenges, and way forward to enhance data collection and monitoring of antimicrobials usage (AMU) in livestock and poultry sectors to contain emergence of AMR. The pre-workshop questionnaire was designed to gather relevant information on AMU and its distribution among diverse markets and users from the workshop participants, utilizing open-ended questions. A chart depicting the relative magnitude of an antimicrobial use (AMU) supply chain was constructed to illustrate the flow of antimicrobials from import and production to end-use at the farm level. This chart was shared with participants to gather their professional opinions and potential corrections. It also presented a list of agencies and their roles in regulating AMU, along with the types of AMU data available at each level. Specific recommendations were made at the end of the workshop to review and update legislation to cover the entire AMU supply chain, enhance regulations to restrict the use of antimicrobial growth promoters, build an integrated national AMU database system, and raise awareness about the responsible use of antimicrobials in the livestock and poultry sectors. It was concluded that the AMU supply chain in veterinary sector of Pakistan is fragmented and is co-regulated by various federal and provincial stakeholders. There are some drugs such as antibiotic growth promoters which are not regulated at all. The approach and findings from this study can serve as a model to validate the use and management of antibiotics in other similar countries currently grappling with serious antimicrobial resistance (AMR) crises.
Integrated Analysis of Somatic DNA Variants and DNA Methylation of Tumor Suppressor Genes in Colorectal Cancer
Authors: Nishiki Hisashi , Ura Hiroki , Togi Sumihito , Hatanaka Hisayo , Fujita Hideto , Takamura Hiroyuki , Niida Yo
Published: January 2025

DNA methylation of tumor suppressor genes in cancer is known to be a mechanism for silencing gene expression, but much remains unknown about its extent, degree, and rela-tionship to somatic variants at the DNA sequence level. In this study, we comprehensively analyzed DNA methylation and somatic variants of all gene regions across the genome of the major tumor suppressor genes, APC, TP53, SMAD4, and mismatch repair genes in colorectal cancer using a novel next-generation sequencing-based analysis method. The Targeted Methyl Landscape (TML) shows that DNA hypermethylation patterns of these tumor suppressor genes in colorectal cancer are more complex and widespread than pre-viously thought. Extremely high levels of DNA methylation were observed in relatively long regions around exon 1A of APC and exon 1 and surrounding region of MLH1. DNA hypermethylation occurred either alone in tumors without somatic variants or in tumors with somatic variants indicating loss of heterozygosity that were additionally methylated at the same genes. Our data demonstrate that somatic variants and hypermethylation of these tumor suppressor genes were considered independent, parallel events, not exclusive of each other or one event affecting the other.
An Empirical Study of Financial Development and Economic Growth in Africa
Authors: Mabasa Talenta , Tipoy Christian Kakese , Nyati Malibongwe Cyprian , Msomi Simiso
Published: January 2025

The article reports on the nexus between financial development and economic progress between English-speaking and French-speaking African countries from 1970 to 2017, focusing on non-linearities. To this end, Smooth Transition Regression together with Granger Causality modelling methods are employed to achieve the objectives of this study. Empirical evidence obtained is such that, there exits significant short and long-term relationships between financial development and economic growth in English-speaking countries. During economic contractions, a statistically significant error correction term indicates rapid adjustment of financial development towards long-term equilibrium, while in periods of rapid economic expansion, the rate of adaptation becomes negligible. In French-speaking countries, during economic contractions, a statistically significant error correction term indicated a slow adjustment of financial development towards long-term equilibrium, suggesting a steady correlation even in challenging economic conditions. Granger causality analysis showed unique patterns in both language groups, emphasizing complex contextual connections between financial development and economic growth. Furthermore, the study rejects linearity in both sets of countries, emphasizing the necessity for nuanced understanding and policy considerations to foster economic growth in African nations. This research provides valuable insights for policymakers aiming to promote sustainable economic development in the dynamic contexts of English-speaking and French-speaking African countries
Noradrenaline Synergistically Enhances Porphyromonas gingivalis LPS and OMV-Induced Interleukin-1β Production in BV-2 Microglia Through Differential Mechanisms
Authors: Muramoto Sakura , Shimizu Sachi , Shirakawa Sumika , Ikeda Honoka , Miyamoto Sayaka , Jo Misato , Takemori Uzuki , Morimoto Chiharu , Wu Zhou , Tozaki-Saitoh Hidetoshi , Oda Kosuke , Inoue Erika , Nonaka Saori , Nakanishi Hiroshi
Published: January 2025

Infection with Porphyromonas gingivalis (Pg), which is a major periodontal pathogen, causes a large number of systemic diseases based on chronic inflammation such as diabetes, rheumatoid
arthritis and Alzheimer’s disease. However, it remains unclear how Pg can augment local systemic immune and inflammatory responses, because Pg and its virulence factor lipopolysaccharide (LPS) have low biological activities. There is a strong association between depression and elevated levels of
inflammation. Noradrenaline (NA) is a key neurotransmitter that modulates microglial activation during stress conditions. In this study, we have thus investigated the regulatory mechanisms of NA on the production of interleukin-1β (IL-1β) by microglia following stimulation with Pg virulence factors, LPS and outer membrane vesicles (OMVs). NA significantly enhanced the mRNA level, promoter activity, and protein level of IL-1β up to 20-fold in BV-2 microglia following treatment with Pg LPS and OMVs in a dose-dependent manner. Pharmacological studies have suggested that NA synergistically augments the responses induced by Pg LPS and OMVs through different mechanisms. AP-1 is activated by the β2 adrenergic receptor (Aβ2R)-mediated pathway. NF-κB, which is activated by the Pg LPS/Toll-like receptor 2-mediated pathway, is required for the synergistic effect of NA on the Pg LPS-induced IL-1β production by BV-2 microglia. Co-immunoprecipitation combined with western blotting and the structural models generated by AlphaFold2 suggested that cross-coupling of NF-κB p65 and AP-1 c-Fos transcription factors enhances the binding of NF-κB p65 to the IκB site, resulting in the synergistic augmentation of the IL-1 promoter activity. In contrast, OMVs phagocytosed by BV-2 microglia and then activated the TLR9/p52/RelB-mediated pathway. The Aβ2R/Epac-mediated pathway, which promotes phagosome maturation, may be responsible for the synergistic effect of NA on the OMV-induced production of IL-1β in BV-2 microglia.
The Evapotranspiration Dataset of Mongolia Plateau from 2001 to 2020 Based on SFE-NP Model
Authors: Su Yuhui , Wang Juanle , Han Baomin
Published: January 2025

Evapotranspiration (ET) refers to the total water vapor flux transported by vegetation and surface soil to the atmosphere. It is not only an important component of water and heat regulation, but also has an impact on plant productivity, water cycle, and other processes. Understanding the spatiotemporal distribution characteristics of ET in the Mongolian Plateau is of great significance for water resource regulation, as it is characterized by drought and uneven distribution of rainwater resources. This study calculated the spatiotemporal distribution characteristics of actual ET in the Mongolian Plateau based on the SFE-NP model, and generated a surface ET dataset with a spatial resolution of 1km and a temporal resolution of monthly from 2001 to 2020 in the Mongolian Plateau region. The correlation coefficient R, determination coefficient R2, and root mean square error RMSE between this dataset and the ERA5_Land ET dataset were 0.78, 0.62, and 0.97, respectively, indicating that this dataset has high accuracy and reliable estimation results. This dataset can provide data support for research and applications such as surface water resource allocation and livestock regulation in the Mongolian Plateau, which helps to finely grasp the distribution pattern of water resource consumption in the Mongolian Plateau.
Differential Virulence Gene Profiling and Expression of Campylobacter Species from Chicken and Human Fecal Samples in Egypt
Authors: Mekky Amr , Issa Mohamed Ramadan , Hashish Amro , Hassan Wafaa , Wahdan Ali , Enany Shymaa , Enany Mohamed E.
Published: January 2025

Campylobacter is considered to be the most leading bacterial cause of human gastroenteritis worldwide. Consumption of undercooked or contaminated chicken food is the main source of human campylobacteriosis. Although Campylobacter is a leading cause of gastroenteritis, data on the comparative virulence gene profiles of Campylobacter jejuni (C. jejuni) and Campylobacter coli (C. coli) from chicken and human sources in Egypt remain scarce. This study aimed to characterize the virulence genes profiles of both C. jejuni and C. coli isolated from chicken and human fecal samples in Ismailia governorate, Egypt. A total of 20 isolates of each species were screened for 15 virulence genes. All isolates carried virB11, iam, racR, and tetO. In chicken isolates, the prevalence of additional virulence genes was higher, with pldA, dnaJ, flaA, cdtB, ciaB, and wlaN detected in 100%, 100%, 100%, 80%, 60%, and 0% of C. jejuni isolates and 100%, 100%, 60%, 60%, 40%, and 20% of C. coli isolates, respectively. In contrast, human isolates showed a markedly lower prevalence, with dnaJ, flaA, and cdtB detected in 20% of C. jejuni and 40% of C. coli isolates, while pldA, ciaB, and wlaN were absent in all human isolates. qPCR revealed significantly higher expression levels of dnaJ, virB11, flaA, and iam in chicken isolates compared to human isolates, with mean fold changes of 11.5, 7.16, 5.39, and 3.72 for C. jejuni, and 8.34, 5.21, 2.84, and 2.5 for C. coli, respectively. Differential expression of racR, cdtB, and tetO was not significant. Ganglioside mimicry genes (Cst11, wlaN, Waac, ggt, and cgtB) were absent in all human isolates. These findings underscore the significant variability in virulence gene profiles between chicken and human Campylobacter isolates and highlight the importance of molecular characterization in risk assessment and epidemiological surveillance of Campylobacter infections.
Motivators and Environmental Awareness for EV Adoption in Thailand
Authors: Prabpayak Chanwit , Boonchoo Thanaporn , Jingjit Suttinee
Published: January 2025

The global emissions from the transportation sector were nearly 7.7 GtCO2 in 2021. In Thailand, the transportation sector emitted 69 MtCO2 and consumed 27,460 ktoe of final energy consumption in the same year. Transitioning from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs) can help reduce greenhouse gas emissions and air pollution, particularly PM2.5, in major metropolitan areas. However, the adoption of EVs in the early stages may affect consumers' considerations. This study aimed to investigate the motivators and environmental awareness for EV adoption in Thailand. An online questionnaire was conducted, and a total of 459 respondents participated. The results revealed that the top three motivators for respondents to consider EVs were the potential tax refund for purchasing an EV, lower charging costs compared to fuel costs for ICEVs, and lower operating costs for EVs compared to ICEVs. In terms of environmental awareness, respondents expressed concern about adapting to global warming and the environment, the potential for EVs to reduce air pollution, and a general concern for the environment. Based on the findings, individuals aged between 26 and 35 years old could be the key target group for early EV adoption.
Biodepot Launcher: An App to Install, Manage and Launch Bioinformatics Workflows
Authors: Hung Ling-Hong , Dahlstrom Thomas , Garnica Johnalbert , Munoz Emmanuel , Schmitz Robert , Yeung Ka Yee
Published: January 2025

We present the Biodepot Launcher, a desktop application that facilitates installation, management and deployment of bioinformatics workflows using the Biodepot-workflow-builder (Bwb). With the new app, Bwb can be started by double-clicking on an icon, eliminating the need for typing cryptic start up commands into the terminal. This creates an end-to-end graphical and easy-to-use interface to manage and launch containerized workflows on the local computer or cloud instances. Biodepot Launcher is written in React and Javascript, and uses the nodejs framework Neutralinojs and web browser routines to allow the application to execute on Linux, Windows and Mac desktop environments.
Therapeutic Potential of Lappula patula Extracts on Germline Development and DNA Damage Responses in C. elegans
Authors: Meng Qinghao , Hu Anna , Xiao Weiyu , Borris Bob , Kim Hyun-Min
Published: January 2025

Lappula patula extracts exhibit significant nematocidal activity, germline disruption, and DNA damage responses in C. elegans. Exposure to increasing concentrations of L. patula extract led to a dose-dependent reduction in worm survival and development, without affecting the high incidence of male phenotype. Further investigation revealed pronounced germline defects, including increased nuclear spacing in the premeiotic tip and pachytene stages, a reduction in DAPI-stained bivalents during diakinesis, and diminished germline size. These defects were accompanied by a significant decrease in brood size, emphasizing the extract’s impact on germline nuclei development. L. patula extracts activated the DNA damage response pathway, as supported by the upregulation of atm-1 and atl-1 expression. Persistent DNA damage triggered apoptosis in a pCHK-1 independent manner in the germline, as indicated by elevated apoptotic cell death during the pachytene stage. Our analysis identified 31 potential anti-tumor compounds within L. patula extracts, characterized by specific fragmentation patterns. The presence of these bioactive components underscores the extract’s cytotoxic properties and highlights its potential as a source of anti-cancer compounds for further investigation. Together, these findings position Lappula patula as a promising candidate for plant-based cancer therapeutics, warranting further exploration.
Effects of Resuscitation and Simulation Team Training on the Outcome of Neonates with Hypoxic-Ischemic Encephalopathy in South Tyrol
Authors: Staffler Alex , Bellutti Marion , Zaboli Arian , Bacher Julia , Chiodin Elisabetta
Published: January 2025

Background/Objectives: Neonatal hypoxic-ischemic encephalopathy (HIE) due to perinatal complications remains an important pathology with a significant burden for neonates, families, and the healthcare system. Resuscitation and simulation team training are key elements in increasing patient safety. In this retrospective cohort study, we evaluated whether regular constant trainings of all personnel working in the delivery rooms in South Tyrol increased the outcome of neonates with HIE. Methods: We retrospectively analyzed three groups of neonates with moderate to severe HIE who required therapeutic hypothermia. The first group included infants before the systematic introduction of trainings and compared it to the second group after three years of regular trainings. A third group after the SARS-CoV-2 pandemics was compared in order to evaluate retention of skills and the long-term effect of our training program. Results: Over the three study periods mortality decreased from 41.2% to 0% and 14.3% respectively. There was also a significant reduction of patients with subclincal seizures detected only in EEG from 47.1% in the first period to 43.7% and 14.3% in the second and third study period respectively. Clinical manifest seizures decreased significantly from 47.1% to 37.5% and 10.7%, as well as severe brain lesions in ultrasound (US) and MRI.
Conclusions: Constant and regular simulation training for all birth attendants significantly decreases mortality and improves the outcome in neonates with moderate to severe HIE. This positive effect seems to last even after a one-year period where training sessions could not be performed due to the Covid pandemics.
Exploring the Effects of Institutional Elements on Residents’ Sense of Gain in Old-Smart Renewal Communities: Mediator roles of Technical Values
Authors: Xue Xiaoyan , Xue Hong
Published: January 2025

Old-Smart Renewal Community is a crucial agenda for urban renewal and urban governance. Successful implementation of old-smart renewal communities requires the active participation of residents in smart city development. The residents’ sense of gain is a critical metric for evaluating the success of old-smart renewal communities. From the institutional and utilitarian perspectives, institutional elements and technical values significantly influence residents’ perceptions of gain in the smart renewal projects for older communities. Drawing on the Technology Acceptance Model (TAM), this study investigates the impact of the institutional environment, facilitating conditions, perceived usefulness, and perceived ease of use on residents’ sense of gain in the old-smart renewal communities. A questionnaire was crafted to gather data, yielding 384 valid responses for path analysis. The results indicate that residents’ objective gains directly shape their subjective feelings. Facilitating conditions and institutional environments influence objective gains through the mediating role of perceived ease of use. Perceived ease of use and objective gains are identified as a sequential mediating link affecting the relationships between facilitating conditions, institutional environments, and residents’ subjective feelings. Additionally, institutional environments are found to influence community residents’ subjective feelings through the sequential mediation of perceived usefulness and objective gains. Our findings enrich the literatures on urban governance by identifying the antecedents of community residents’ sense of gain in old-smart renewal communities. It also enriches the TAM by expanding the relationships between institutional environment, convenient conditions, and community residents’ sense of gain. Meanwhile, it offers insights for formulating the governance mechanisms in the old-smart renewal community development.
A Comprehensive Review of AI and ML Applications in Coastal Engineering
Authors: Emmanuel Inioluwa Anuoluwapo , Ojewumi Modupe , Huang Wenrui
Published: January 2025

This manuscript reviews the current state and advancements in applying Artificial Intelligence (AI) within coastal engineering. It encapsulates some journal articles, emphasizing the role of Machine Learning (ML) algorithms in fostering sustainable management of marine and coastal environments. The review delves into various aspects of ML applications, including data preprocessing, modeling algorithms for distinct phenomena, model evaluation, and utilizing dynamic and integrated models. The study highlights the significance of coastal areas, underlining their role in biodiversity, economic activity, cultural heritage, climate regulation, food security, recreational opportunities, and strategic importance. It addresses the challenges in ensuring the sustainability of these areas, particularly in the face of climate change, beach protection, and water quality management. The manuscript underscores the necessity of effective data analysis and augmentation for informed decision-making and sustainable management of coastal systems, noting the recent surge in data availability related to coastal systems. Furthermore, the review examines the efficacy of different ML methods in predicting wave heights and other oceanographic parameters. It identifies areas where ML has been successfully applied, such as data collection and analysis, pollutant and sediment transport, image processing and deep learning, and identifying potential regions for aquaculture and wave energy activities. Additionally, it discusses the application of ML in structural design and optimization. Despite the potential benefits, the manuscript notes that dynamic and integrated ML models are still underutilized in marine projects. It concludes with insights into the application of ML in marine and coastal sustainability and calls for future research to explore the untapped potential of ML in this domain.
New Bayesian Estimation Method Based on Particle Flow Velocity
Authors: Tan Juan , Wu Zijun , Chen Lijuan
Published: January 2025

Aiming at the state estimation problem of non-linear systems (NLSs), the traditional typical nonlinear filtering methods (e.g., Particle Filter, PF) have large errors in system state, resulting in low accuracy and high computational speed. To perfect the imperfections, a new Bayesian estimation method based on particle flow velocity (PFV-BEM) is proposed in this paper. Firstly, the state update is carried out according to the projection principle to calculate the prior information of the state and select its particle points. Secondly, the particle flow velocity defined, which describes the evolution process of random samples from the prior distribution to the posterior distribution. The posterior information of the state is calculated by solving the parameters related the particle flow velocity. Finally, the estimated mean and standard deviation of the state are solved. Simulation experiments use one-dimensional general nonlinear examples and multi-target motion tracking as examples, it is compared with PF, the simulation results show the feasibility of the novel Bayesian estimation algorithm.
Enhancing User Intent for Recommendation Systems via Large Language Models
Authors: Xu Xiaochuan , Xu Zeqiu , Yu Peiyang , Wang Jiani
Published: January 2025

Recommendation systems play a critical role in enhancing user experience and engagement in various online platforms. Traditional methods, such as Collaborative Filtering (CF) and Content-Based Filtering (CBF), rely heavily on past user interactions or item features. However, these models often fail to capture the dynamic and evolving nature of user preferences. To address these limitations, we propose DUIP (Dynamic User Intent Prediction), a novel framework that combines LSTM networks with Large Language Models (LLMs) to dynam- ically capture user intent and generate personalized item recommendations. The LSTM component models the sequential and temporal dependencies of user behavior, while the LLM utilizes the LSTM-generated prompts to predict the next item of interest. Experimental results on three diverse datasets—ML-1M, Games, and Bun- dle—show that DUIP outperforms a wide range of baseline models, demonstrating its ability to handle the cold-start problem and real-time intent adaptation. The integration of dynamic prompts based on recent user interactions allows DUIP to provide more accurate, context-aware, and personalized recommendations. Our findings suggest that DUIP is a promising approach for next-generation recommendation systems, with potential for further improvements in cross-modal recommendations and scalability.
Diagnosing Growth in Low-Grade Gliomas with and Without AI-Measured Longitudinal Volume Measurements: A Retrospective Observational Study
Authors: Barhoumi Yassine , Sotoudeh Houman , Bredel Markus , Whitley Alexander , Kim Jinsuh , Moron Fanny E , Raman Fabio , Bouaynaya Nidhal , Rahal Hayat , Fathallah-Shaykh Hassan M
Published: January 2025

Low-grade gliomas (LGG) invade the brains of young and productive adults leading to significant neurological morbid-ity. Mutations in the isocitrate dehydrogenase (IDH) gene are very common in LGG. Because IDH1 inhibitors are ef-fective in the treatment of LGG, early detection of growth is critical to initiating therapy without delay. This retrospec-tive observational study evaluates the ability of AI-assisted volumetric analysis to correctly detect tumor growth in lon-gitudinal studies of LGG as compared to the standard clinical method of visual inspection by radiologists. The study includes 63 participants categorized into clinical progression (n = 34), clinically stable (n=22), and negative control groups (n = 7). The dates of detection of tumor growth by visual inspection were gathered from radiological reports. Longitudinal tumor volumes were calculated from automated segmentations by the MRIMath FLAIR AI. Golden truths were obtained by physician review using the MRIMath Smart manual contouring system. Growth by significant shifts in tumor volumes was detected by using the statistical method of online change-of-point method. Our results demonstrate that in the clinical progression group, automatic AI segmentation followed by human review detected tu-mor growth at a median of 21 months earlier than visual inspection. In the clinically stable group, AI with human re-view identified growth in 13/22 cases at a median of 23 months earlier than the last MRI. AI without human review generated similar results but with a 25% false positive and an 8.33% false negative rate. The median time spent by physicians in reviewing, revising, and approving the AI segmentations is 2 minutes. These findings highlight the clin-ical potential of AI-assisted volumetric analysis followed by physician oversight for the timely detection of tumor pro-gression in LGG patients.
Structural, Elastic, Refractive Index and Energy Band Gap Properties of Li0.5Co0.5FeCrO4 Ferrite for Non-Linear Optical and Optoelectronic Applications
Authors: Hcini Fakher , Alzahrani Mussad Mohammed , Hcini Sobhi , Bouazizi Mohamed Lamjed , Khirouni Kamel
Published: January 2025

This work examines the structural, elastic, and optical properties of the Li0.5Co0.5FeCrO4 spinel ferrite. Rietveld analysis of X-ray diffraction measurement confirms its cubic spinel structure. The structural investigation reveals strong consistency among calculated and refined parameters, validating the proposed cation distribution. Elastic moduli, including bulk, longitudinal, and rigidity moduli, were acquired by computing stiffness constants. Absorbance data and the Tauc method indicated a direct optical transition with a low band-gap energy, suggesting the sample's potential for optoelectronic applications. The Li0.5Co0.5FeCrO4 spinel showed absolutely low Urbach energy, suggesting little disorder and defects within its structure. The theoretical optical characteristics like reflection loss (RL), polaron radius (Rp), molar refractive index (Rm), molar electronic polarizability (αm), and the non-linear optical features were examined for our compound. Our findings indicate that the Li0.5Co0.5FeCrO4 compound outperforms the undoped Li0.5Fe2.5O4 compound , featuring a lower band gap. This implies that adding Co and Cr into Li0.5Fe2.5O4 ferrite enhances their optical and optoelectronic applications.
Physicochemical characteristics, fatty acids profile, health lipid indices and consumer acceptability of processed cheese prepared from camel milk blended with avocado powder
Authors: F. M. Ali Rehab
Published: January 2025

The aim of the current investigation was to evaluate the impact of different quantities of avocado fruit pulp powder (AFPP) (0, 5, 10, 15, and 20%) on the sensory properties, physicochemical properties, and fatty acid profile of Camel's milk processed cheese (CMPC). CMPC cheese represents the control sample without AFPP addition. At ratios of 100:0, 95:5, 90:10, 85:15, and 80:20, AFPP was used to substitute CMPC cheese (%, w/w). Standard official methods were used to analyze the proximate composition, mineral content, fatty acid profile, health lipid indices, as well as consumer acceptability of CMPC, AFPP, and binary mixtures of them. AFPP was rich in fat, protein, ash, and fibers (58.18, 8.19, 7.48, and 7.00%, respectively). CMPC is mainly composed of moisture (63.03 %), with 23.9%, % of crude protein, 9.15 % of lipids and3.92 % ash. Fat, fiber, ash and energy contents of fortified cheese samples increased significantly with the addition of AFPP. No significant differences were recorded in protein between control cheese samples and those cheese samples containing AFPP. The results also revealed that the K, Mg, Fe, and Zn content in CMPC cheese samples enriched with 20% AFPP were about 2.41, 1.18, 1.72, and 1.30-fold higher, respectively, when compared to control cheese without any addition of AFPP. In fortified cheese samples, the amounts of oleic, linoleic, and linolenic acids significantly increased as the AFPP dosage increased; however, the amounts of myristic, palmitic, and stearic acids decreased as the AFPP concentration increased. The reduction in atherogenic and thrombogenic indices of CMPC cheese samples with different concentrations of AFPP demonstrate the nutritional advantages of CMPC cheese enriched with avocado powder. The sensory evaluation results indicated that all processed cheese samples in the current investigation were acceptable and received high overall acceptability scores ranged from76.19 to 84.60
Production, biological activities and functional food of modified cassava flour (mocaf)
Authors: Khasanah Yuniar , Anastasia Wheni Indrianingsih  , Triwitono Priyanto , Agnes  Murdiati
Published: January 2025

Cassava is predominantly produced in tropical regions, including Asia, Africa, and South America. In the developing countries, cassava includes in the big four comestibles with other commodities such as rice, wheat, and maize. It offers several advantages over other crops, such as affordability, ease of consumption, drought tolerance, the ability to grow on in marginal land at lower cost, and beeing the biggest producer of carbohydrates per hectare. However, cassava tuber is quickly perishable, because of its high-water content, making it more susceptible to rotting. To extend their shelf life, one approach is the production of modified cassava flour (mocaf).  Mocaf is typically produced through a fermentation process by microorganism involving lactic acid bacteria. Studies have demonstrated that mocaf can serve as the primary ingredients for various food and various foods and snacks, such as cookies, cake, noodles, and others food traditionally made with wheat flour or starch-based material. Compared to regular cassava flour,mocaf offers improved flavor and color and is also more cost-effective than wheat flour. The use of mocaf is promising since several studies also showed the use of mocaf to produce functional foods for human health. The purpose of this review was to elaborate the published articles on the production, biological activities, and functional food from modified cassava flour. The promising potential of mocaf is summarized, along with data on its biological activities in food and health contexts. Furthermore, recommendations for future research on the industrial applications of mocaf are provided.
Producción científica global sobre la laparoscopía sin gas: un análisis bibliométrico
Authors:   , Perez Reategui Javier , Arge Gamarra Brad Jhefferson
Published: January 2025

Objetivos: Caracterizar las características bibliométricas de la producción científica global de investigación original sobre laparoscopia sin gas en la plataforma Web of Science Core Collection (WoSCC). Materiales y métodos: Se realizó un estudio bibliométrico de los artículos originales publicados hasta el año 2023. Los artículos se incluyeron siguiendo los criterios de selección en la aplicación web Rayyan, indexada en la base de datos Scopus. El análisis bibliométrico se realizó utilizando el programa Bibliometrix en el lenguaje de programación R y VOSviewer. Las características bibliométricas evaluadas fueron artículos, revistas, citas, publicaciones, diez artículos más mencionados, revistas con mayor número de publicaciones, autores y afiliaciones institucionales; y coocurrencia de términos. Resultados: Se incluyeron un total de 223 publicaciones, siendo el mayor número de artículos publicados en los años 1999 y 2014.La publicación con más citas resultó ser un ensayo aleatorizado de Galizia G en 2001 con 132 citas.Se identificaron 846 autores implicados en la producción de artículos sobre laparoscopia sin gas, siendo Nakamura H el autor más productivo con 15 artículos entre los años 2007 y 2020, seguido de Takeda A e Imoto S, los tres afiliados al "Gifu Prefectural Tajimi Hospital".El país con mayor producción fue Japón, con 64 publicaciones, seguido de China e Italia, con 46 y 18 publicaciones, respectivamente.En el top 10 de revistas con mayor número de publicaciones, "Surgical Endoscopy - Ultrasound and Interventional Techniques" ocupa el primer lugar con 20 artículos publicados sobre laparoscopia sin gas; además, la mayoría de ellos se sitúan en Q1 y Q2.En cuanto a los términos o palabras clave, se encontró que los estudios iniciales tenían términos relacionados con las desventajas del neumoperitoneo y posteriormente se centraron en temas más específicos de la aplicación de la laparoscopia sin gas. Conclusiones: La producción sobre laparoscopia sin gas se ha estancado, siendo los…
Auto-percepción de las habilidades de los estudiantes de pregrado al realizar investigación en una universidad privada
Authors:   , Alvarado Suyo Sofia Almendra
Published: January 2025

La formación en metodología de investigación es esencial para el progreso de cualquier individuo en su carrera profesional, más aún en futuros docentes. Los cuales se encargarán de formar mentes; y deberán contar con conocimientos actualizados. El objetivo de este artículo es examinar características de la autopercepción de las habilidades investigativas de los estudiantes de pregrado de últimos ciclos de la carrera de educación inicial al realizar una investigación de una universidad privada. La investigación fue de enfoque mixto, realizada mediante un cuestionario tipo escala de Likert y una entrevista semiestructura; a 50 estudiantes y 9 docentes. Los resultados indicaron que el 54% de los estudiantes poseen una autopercepción alta de sus conocimientos sobre investigación. Sin embargo, sus docentes mencionan que sus estudiantes aún no pueden realizar investigaciones científicas debido a que no se sienten seguros si no poseen respaldo de sus asesores; siendo la retroalimentación fundamental. En conclusión, se necesita poner atención en los motivadores de los estudiantes y entender su conexión docente-estudiante con el fin de implementar una metodología y estrategias que fortifiquen el aprendizaje en investigación de los estudiantes.
WITHDRAWN: Heterogeneous liver tissues with multicellular crosstalk and bile duct morphogenesis through organoid bioprinting
Authors: xue shengnan , Su Yijun , Xu Chengao , Xu Mingen , Yao Rui
Published: January 2025

The full text of this preprint has been withdrawn by the authors while they make corrections to the work. Therefore, the authors do not wish this work to be cited as a reference. Questions should be directed to the corresponding author.
Nano-engineered probiotic treats atherosclerosis via inhibiting intestinal microbiota-TMA-TMAO axis
Authors: Ma Boxuan , Chen Zhezhe , Zhu Qiongjun , Xu Hong , Hu Yiqing , Wang Yanan , Chen Zhebin , Wang Yao , Huang Xingru , Fu Guosheng , Zhang Wenbin
Published: January 2025

Considerable numbers of patient are suffering from atherosclerosis without typical risk factors, which can cause severe cardiovascular complication but is lack of practical treatment. Thereinto, trimethylamine N-oxide (TMAO), originated from enteric microorganism, emerges as an unconventional and crucial factor causing atherosclerosis. Here we demonstrate a strategy to inhibit TMAO through intestinal microbiota-trimethylamine (TMA)-TMAO axis for atherosclerotic treatment. The therapy is performed by an oral-treated nano-engineered probiotic PDMF@LGG, where the probiotic Lacticaseibacillus rhamnosus GG (LGG) is armed with polydopamine coating and conjugated with PMF nanoparticles based on a ROS-responsive polymeric prodrug of fluoromethylcholine (FMC). PDMF@LGG can durably colonize the intestinal canal due to sticky polydopamine coating and the protection of PMF against ROS-induced injury. The ROS trigger the delivery of FMC from nanoparticles, which can inhibit TMA production in enteric microorganisms. Meanwhile, LGG can strengthen the tight junctions of intestinal epithelium and reduce TMA entering the blood. The in vivo study suggests that PDMF@LGG reduces plasma TMAO and suppresses atherosclerotic progression. Furthermore, the microbiomics and metabolomics show that PDMF@LGG also regulates gut microbial composition and various metabolites, assisting in the therapeutic outcome. Together, PDMF@LGG offers a potential candidate for atherosclerotic therapy caused by TMAO and broadens the range of treatable atherosclerosis.
CRY1 fuels resistance to T cell-based immunotherapy in NANOGhigh cancers
Authors: Kim Tae Woo , Oh Se Jin , Woo Seon Rang , Ahn Jun Hyeok , Son Min Kyu , Lee Hyo-Jung , Cho Eunho , Lee Kyung-Mi , Park Yejin , Sim Younji , Yee Cassian , Son Gi Hoon , Jung Jong-Wha , Song Kwon-Ho
Published: January 2025

Cancer immunotherapies, including immune checkpoint blockade (ICB), have marked a significant breakthrough in cancer treatment but their clinical efficacy is limited in immune-resistant tumors. Previously, we found that immunotherapy-mediated immune selection enriches immune-resistant tumors with both tumor-intrinsic and -extrinsic refractory phenotypes via the transcriptional induction of HDAC1 by NANOG. Here, we identify CRY1 as a critical transcriptional target of NANOG that stabilizes Cyclin A and MCL1 to promote cancer stem cell-like property and resistance to cytotoxic T cell-mediated killing in NANOGhigh tumor cells through HDAC1-mediated epigenetic silencing of APC3 and TRIM17. Additionally, CRY1 downregulates CXCL10 via HDAC1-mediated repression, thereby suppressing T cell infiltration. Importantly, CRY1 inhibition synergizes with PD-1 blockade and adoptive T cell transfer in reducing tumor growth by converting immune-resistant tumors into immune-sensitive tumors. Collectively, these findings highlight CRY1 as a critical mediator of the NANOG/HDAC1 axis in the multiple refractory properties of immune-resistant tumors and suggest CRY1 as a potential therapeutic target.
Prevalence of overweight and obesity among health care professionals: A Multi-institutional Cross-Sectional Study
Authors: Ashraf Fariha , Silvia Sana , Ayub Bushra , Nisa Kanwal , Murtaza Ghulam
Published: January 2025

· KEYPOINTS: High Prevalence of Overweight and Obesity: The study found a significant number of healthcare workers in Pakistan are overweight or obese.
· Use of Asia Pacific BMI: The research utilized the Asia Pacific BMI classification, which is considered more suitable for assessing weight status in this region compared to the traditional Western BMI.
· Identification of Risk Factors: The study aimed to identify potential occupational risk factors that contribute to the high prevalence of overweight and obesity among healthcare workers.
· Need for Interventions: The findings emphasize the need for targeted interventions to improve the health and well-being of healthcare workers in Pakistan, such as promoting healthy lifestyles, creating supportive work environments, and providing relevant training and education programs.
Empowering Nurses to Provide Palliative Care for COPD Patients in a Pulmonary Department: Participatory Action Research
Authors: far narjes heshmati , amini mahnaz , talab Hamid reza Zendeh , Manzari Zahra Sadat
Published: January 2025

Background
Chronic obstructive pulmonary disease (COPD) affects the quality of life of patients and their caregivers. Although palliative care can improve quality of life, COPD patients and their caregivers have limited access to palliative care services. This study was conducted to empower nurses to provide palliative care to COPD patients in the pulmonary department.
Methods
This participatory action research was conducted in four steps: observation, reflection, planning, and action. The data were collected via PCKT, FATCOD-B, and PCPS questionnaires about palliative care, interviews, focus groups, and observation. Qualitative content analysis and paired t-tests were used for data analysis.
Results
Three major themes emerged: professional incompetence in palliative care, basic shortages in palliative care, and a lack of professional support. Three changes were made, including enhancing palliative care knowledge, establishing a palliative care team, and increasing career motivation. There were significant increases in PCKT, FATCOD-B, and PCPS scores before and after PAR (p = 0.000).
Conclusion
Given the importance of providing palliative care, necessary measures and actions, including developing interprofessional collaboration and training as well as motivating staff, should be taken by health managers.