bluuebunny/crossref_metadata_2025_split huggingface dataset:
Tingkat Pendidikan Penjamah dengan Cemaran Bakteri Coliform pada Depot Air Minum Isi Ulang di Kelurahan Air Putih
Authors: Afifah Fika , Kurniawan Deny , Rusdi Rusdi 
Published: January 2025

Penjamah depot air minum bertanggung jawab atas penanganan air dan peralatan, termasuk persiapan, pembersihan, dan pengelolaan. Peran mereka sangat penting dalam memastikan standar kualitas air minum yang sehat. Penjamah dengan pendidikan tinggi cenderung lebih sadar akan risiko kesehatan yang berkaitan dengan kebersihan air minum serta lebih mungkin mengambil langkah untuk menjaga kebersihan Depot juga memahami regulasi dan standar kesehatan. Selain itu pendidikan tinggi juga dapat memberikan akses kepada teknologi dan metode pengolahan air yang lebih baik dan tepat untuk dapat membantu mengurangi kontaminasi bakteri pada air minum isi ulang. Di kelurahan Air Putih, Kota Samarinda, terdapat 14 DAMIU, 9 DAMIU belummemiliki sertifikat yang sesuai dan 5 sudah memiliki sertifikat. Penelitian ini bertujuan untuk menentukan hubungan antara Tingkat Pendidikan penjamah dengan kontaminasi bakteri Coliform. Dengan menggunakan metode eksperimen laboratorium dan desain potong lintang, penelitian ini tidakmenemukan hubungan yang signifikan antara tingkat pendidikan penjamah dengan kontaminasi bakteri. Bakteri Coliform, 9 sampel memenuhi standar dan 5 sampel melebihi standar. Analisis deskriptif kuantitatif tentangkontaminasi Coliform dengan tingkat pendidikan penangan tidak signifikan (nilai signifikansi 0,872). Hal ini menunjukkan bahwa Tingkat Pendidikan penjamah tidak memiliki efek signifikan pada kontaminasi bakteri Coliform, sehingga menunjukkan bahwa ada faktor lain yang mungkin memiliki hubungan yang lebih besar.
ОРГАНІЗАЦІЙНО-ПЕДАГОГІЧНІ УМОВИ РЕАЛІЗАЦІ ПІДГОТОВКИ МАЙБУТНІХ ФАХІВЦІВ МЕДИЧНОЇ ГАЛУЗІ В ЗАКЛАДАХ ВИЩОЇ ОСВІТИ
Authors: Khallo O. E. 
Published: January 2025

У статті здійснено аналіз наукових здобутків із проблеми формування професійної компетентності майбутніх фахівців медичної галузі. Уточнено дефініції понять «педагогічна умова» й «організаційно-педагогічна умова». Установлено, що дослідники розуміють під педагогічними умовами важливий складник педагогічного процесу, що поєднує різноспрямовані заходи педагогічного характеру, для досягнення окресленої мети. Окреслено що впровадження у процес педагогічної підготовки майбутніх лікарів інноваційних технологій сприяє проєктуванню індивідуального особистісного розвитку кожного студента, стимулюванню навчальної діяльності за допомогою розв’язання практичних ситуацій, забезпеченню взаємозв’язку освітніх цілей із безпосередніми професійно-педагогічними завданнями майбутнього лікаря. З’ясовано, що партнерська взаємодія викладача та студента – це взаємодія викладача і студента, які рівноправно беруть участь у навчальному процесі, базується на принципах співпраці та компромісу, взаємоповаги та взаємодоповнення, спрямована на досягнення загальних цілей і формування системи цінностей, розвитку загальних і спеціальних компетентностей, зокрема й професійної компетентності. Установлено, що організаційно-педагогічні умови професійної підготовки майбутніх фахівців медичної галузі являють собою комплекс взаємопов’язаних і взаємозумовлених внутрішніх і зовнішніх чинників, які забезпечують ефективність і результативність процесу навчання майбутніх медичних працівників в умовах закладу вищої освіти. Визначено й обґрунтовано, що у формуванні професійної компетентності майбутніх фахівців медичної галузі великого значення набувають організаційно-педагогічні умови (партнерська взаємодія викладача та студента; використання в навчальному процесі сучасних інтерактивних методів навчання; створення практично-діяльнісного середовища для якісного формування професійної компетентності медичного працівника).
uso de la Inteligencia Artificial Generativa (IAGen) en el proceso de enseñanza-aprendizaje en la Licenciatura en Administración
Authors: González Rivas Eva Noemi 
Published: January 2025

El uso de la Inteligencia Artificial Generativa (iagen) es cada vez más frecuente con fines educativos. Por ello surge la necesidad de analizar su uso y aplicación en la educación superior. Dicha práctica plantea beneficios, desafíos, y tiene implicaciones éticas, los cuales son temas de estudio.

El enfoque de la iagen en la educación tiene varias directrices, como la creación de contenidos educativos, trabajo colaborativo, personalización del aprendizaje, desarrollo de nuevas habilidades, apoyo en la evaluación y tutorías especializadas a estudiantes. Para el desarrollo de la presente investigación se planteó el análisis del uso de la iagen en el proceso de enseñanza-aprendizaje en la educación superior; se analizó por medio de una metodología mixta, con enfoque exploratorio y descriptivo, utilizando la investigación-acción y práctica docente como apoyo para la recolección de datos, eligiendo de instrumento el cuestionario.

Los resultados obtenidos se centran en la necesidad de recibir formación o capacitación del uso responsable de la iagen en los procesos de enseñanza-aprendizaje, tanto para estudiantes como docentes de la Li
cenciatura en Administración, con la finalidad de integrarla en el actuar académico de forma ética y responsable.
OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging
Authors: Ren Xiaolu , Hou Lingxuan , Liu Shan , Wu Peng , Liang Siming , Fu Haitian , Li Chengquan , Li Ting , Cheng Yongjing 
Published: January 2025

BackgroundKnee osteoarthritis (KOA) constitutes the prevailing manifestation of arthritis. Radiographs function as a common modality for primary screening; however, traditional X-ray evaluation of osteoarthritis confronts challenges such as reduced sensitivity, subjective interpretation, and heightened misdiagnosis rates. The objective of this investigation is to enhance the validation and optimization of accuracy and efficiency in KOA assessment by utilizing fusion deep learning techniques.MethodsThis study aims to develop a highly accurate and lightweight model for automatically predicting and classifying KOA through knee X-ray imaging. We propose a deep learning model named OA-MEN, which integrates a hybrid model combining ResNet and MobileNet feature extraction with multi-scale feature fusion. This approach ensures enhanced extraction of semantic information without losing the advantages of large feature maps provided by high image resolution in lower layers of the network. This effectively expands the model’s receptive field and strengthens its understanding capability. Additionally, we conducted unseen-data tests and compared our model with widely used baseline models to highlight its superiority over conventional approaches.ResultsThe OA-MEN model demonstrated exceptional performance in tests. In the unseen-data test, our model achieved an average accuracy (ACC) of 84.88% and an Area Under the Curve (AUC) of 89.11%, marking improvements over the best-performing baseline models. These results showcase its improved capability in predicting KOA from X-ray images, making it a promising tool for assisting radiologists in diagnosis and treatment selection in clinical settings.ConclusionLeveraging deep learning for osteoarthritis classification guarantees heightened efficiency and accuracy. The future goal is to seamlessly integrate deep learning and advanced computational techniques with the expertise of medical professionals.
Establishment and characterization of a sigmoid colon cancer organoid with spinal metastasis
Authors: Chen Jingyao , Cheng Shumin , Gu Liang , Huang Zhangsen , Zhang Changhua , Sun Chunhui , Chen Songyao 
Published: January 2025

BackgroundSigmoid colon cancer with spinal metastases is rare in distant metastasis. In addition, the prognosis of colon cancer patients with spinal metastases is extremely poor. In order to find effective therapeutic agents, we need to know the biological characteristics of such patients from related models.MethodsWe collected sigmoid colon cancer tissue from a young female subject who was diagnosed with sigmoid colon cancer with multiple spinal metastases. We successfully established a sigmoid colon cancer organoid using this tissue and investigated drug screening in the patient. HE staining, immunohistochemistry, and DNA sequencing were utilized to compare the biological characteristics between the original tumor and the organoid. Furthermore, we investigated the drug screening of the sigmoid colon cancer organoid in vitro.ResultsA colon cancer organoid from sigmoid colon cancer with spinal metastases was successfully established. The organoid culture maintained the morphological features, histological features, and genomic landscape of the corresponding sigmoid colon cancer cells. Moreover, we performed drug screening tests to evaluate the effects of chemotherapeutic drugs and targeted drugs.ConclusionThe sigmoid colon cancer organoid with spinal metastases was a favorable preclinical model to explore the clinicopathologic characteristics of colon cancer patients with spinal metastases.
Establishment of a rapid method for the detection of Brucella canis based on recombinase-mediated thermostable nucleic acid amplification technology
Authors: Song Shao-Zheng , Li Zi-Yuan , Liu Yuan-Yuan , Wu Ying-Chao , Yu Kang-Ying , He Zhengyi 
Published: January 2025

ObjectiveTo establish a rapid detection method for canine brucellosis using recombinase-aided amplification (RAA) technology.MethodsThe outer membrane protein 25 gene fragment (Omp25) of Brucella canis was targeted. Primers and fluorescent probes were designed and synthesized, and recombinant plasmids were constructed as standards. The RAA assay was optimized by screening primers and establishing a fluorescent reaction system. Sensitivity was analyzed using plasmid standards with varying copy numbers. Specificity was tested using genomes from Brucella canis, Brucella suis, Brucella melitensis, Brucella abortus, Staphylococcus aureus, pathogenic Escherichia coli, Salmonella enteritidis, Shigella spp., Proteus mirabilis, and Listeria monocytogenes. Reproducibility was evaluated using plasmid standards from the same and different batches.ResultsThe optimized RAA system used primers bOmp25-F2/bOmp25-R2 and probe bOmp25-P, with a constant reaction temperature of 39°C for 15 minutes. The detection sensitivity was 1 copy/μL. No cross-reaction was observed with other Brucella species or pathogenic bacteria, indicating high specificity. Intra-batch variability was below 1.00%, and inter-batch variability was below 2.00%. The positive detection coincidence rate of RAA was significantly higher than that of commercial real-time fluorescence quantitative PCR (100% VS 86.96%, P&lt;0.05).ConclusionThe RAA-based rapid detection method for Brucella canis is suitable for clinical rapid testing. It offers advantages such as quick detection, high sensitivity, strong specificity, and good reproducibility. This method provides new insights for the rapid detection of canine brucellosis and the precise diagnosis of other pet diseases, making it suitable for promotion and application.
Attitudes of nurses toward telenursing and influencing factors in resource-limited settings: Northwest Ethiopia 2022
Authors: Butta Fikadu Wake , Tilahun Biniyam Chaklu , Endehabtu Berhanu Fikadie , Shibabaw Adamu Ambachew , Chereka Alex Ayenew , Gebeyew Ayenew Sisay , Reda Mekides Molla , Kitil Gemeda Wakgari , Nimani Teshome Demis 
Published: January 2025

BackgroundThe worldwide scarcity of nurses is a pressing concern, with the World Health Organization predicting a deficit of 5.9 million nurses globally by 2025. Notably, 89% of this shortage is expected to impact low- and middle-income countries. To address the growing demand for nursing professionals, the concept of telenursing care is being considered. However, there is limited evidence regarding nurses' attitudes towards telenursing care in Ethiopia. This study aims to understand how nurses feel about telenursing care and the factors related to it at a specialized teaching referral hospital in northwest Ethiopia.MethodWe conducted a cross-sectional study at a specialized teaching referral hospital, employing a simple random sampling technique to gather information from 423 nurses. The study took place from July 28 to December 19, 2022/23. Descriptive statistics, including tables and bar graphs, were utilized. Additionally, a binary logistic regression analysis was conducted with 95% confidence intervals and a significance level of P &lt; 0.05 to identify factors influencing nurses' attitudes toward telenursing.ResultOut of the total 416 nurses who responded, representing a response rate of 98.35%, 39.7% exhibited favorable attitudes towards telenursing care. Factors associated with nurses' attitudes included awareness, source of information, social media use, knowledge, computer access, digital training, internet access, and computer training.ConclusionsThe findings indicate a low level of positive attitudes towards telenursing care among nurses. To enhance future acceptance, use, and implementation, policymakers, higher education institutions, and other stakeholders should collaborate to improve nurses' attitudes toward telenursing care, taking into consideration various factors and user preferences.
Fast-track microwave-assisted synthesis of CdMoO4 and CdWO4 nanoparticles for hybrid rGO/NPs electrodes in high-performance supercapacitors
Authors: Vivas Leonardo , Manquian Carolina , Pacheco-Catalán Daniella Esperanza , Márquez Paulina , Singh Dinesh Pratap 
Published: January 2025

Fast and facile synthesis of nanomaterials is always a challenge for industrial applications in various sectors. In this work, CdMoO₄ and CdWO₄ nanoparticles are synthesized by using a fast and cost-effective microwave-assisted method. The synthesized nanoparticles are mixed with reduced graphene oxide (rGO), to form active electrode materials for supercapacitor and their electrochemical performances were studied in detail. The electrodes were prepared by simple mixtures of rGO/CdMoO₄ and rGO/CdWO₄, and electrochemical performance were measured in both, two- and three-electrode configurations. In general, both rGO/CdMoO₄ and rGO/CdWO₄ mixtures exhibit an increased specific capacitance (Cp) compared to pure rGO. Notably, the rGO/CdMoO₄ mixture shows a Cp exceeding 543 Fg⁻1 at a scan rate of 5 mVs⁻1, which represents a significant improvement over rGO alone (Cp = 225 Fg⁻1). This increase in Cp can be attributed to the higher surface area of the rGO/CdMoO₄ electrode material due to smaller size of CdMoO₄ nanoparticles and their intercalation between the rGO layers in comparison to the rGO/CdWO₄ electrode material. Furthermore, the rGO/CdMoO₄ mixture demonstrated 77% capacitance retention over 5,000 charge/discharge cycles in the two-electrode configuration. The promising electrochemical performance and rapid, low-cost synthesis suggest that these materials have great potential for further use in high efficiency energy-storage devices.
Framing impacts on citizen science data collection and participant outcomes
Authors: Sorensen Amanda E. , Jordan Rebecca C. 
Published: January 2025

IntroductionThere has been little work investigating the effect of framing in citizen science and the subsequent effects on data quality and participant outcomes (e.g., science literacy, trust in science, motivations to contribute).MethodsTo establish the impact of framing in citizen science on data quality and participant outcomes, an experimental web-based citizen science program was created where participants were engaged in tree phenology research. Participants were randomized to one of two differently framed conditions where they were engaged in the same exact data collection task, but the rhetoric around participant contribution was framed differently. In this, participants were either referred to as a “Citizen Scientist” or “Volunteer.” Participants took a pre and post survey that measured science literacy, trust in science, and motivations to contribute to citizen science.ResultsThere were significant differences in participant outcomes and data quality between the two conditions post-participation. Individuals in the “Citizen Scientist” condition completed the project and submitted higher quality data significantly more than those individuals in the “Volunteer” condition. Additionally, individuals in the two conditions begin to diverge in their responses to questions within each of the measured areas post-participation.DiscussionThis research suggests that being called a citizen scientist may elicit internally held expectations of contribution, informed by normative and culturally informed experiences. Therefore, participants might view their contributions as citizen scientists are more consequential than when as volunteers. Research of this nature can help guide practitioners using citizen science in thinking about framing as a part of their project development and stimulate further research on best practices in citizen science project design.
Novel disctete grey Bernoulli seasonal model with a time powter term for predicting monthly carbon dioxide emissions in the United States
Authors: Jiang Jianming , Ban Yandong , Nong Sheng 
Published: January 2025

This study proposes a more efficient discrete grey prediction model to describe the seasonalvariation trends of carbon dioxide emissions. The setting of the bernoulli parameter and the time powerterm parameter in the new model ensures that the model can capture the trend of nonlinear changesin the sequence. At the same time, the inclusion of dummy variables allows for the direct simulationof seasonal fluctuations in carbon dioxide emissions without the need for additional treatment of theseasonality in the sequence. The optimal search for the model’s hyperparameters is achieved using the MPA algorithm. The constructed model is applied to the monthly U.S. carbon dioxide emissions datafrom January 2003 to December 2022, a total of 240 months. The model is trained on 216 months of datafrom January 2003 to December 2020, and the monthly data from January 2021 to December 2022 is usedfor prediction, which is then compared with the actual values. The results show that the proposed modelexhibits higher forecasting performance compared to SARIMA and other models. Therefore, this methodcan effectively simulate the seasonal variation trends in carbon dioxide emissions, providing valuablereference information for relevant departments to formulate more effective policies.
Development and experimental validation of dephosphorylation-related biomarkers to assess prognosis and immunotherapeutic response in gliomas
Authors: Tang Hui , Yang Xuping , Li Guoqian , Peng Ke , Sun Yang , Jiang Longyang , Huang Yilan 
Published: January 2025

BackgroundGliomas are common aggressive brain tumors with poor prognosis. Dephosphorylation-related biomarkers are in a void in gliomas. This study aims to construct a validated prognostic risk model for dephosphorylation, which will provide new directions for clinical treatment, prognostic assessment, and temozolomide (TMZ) resistance in glioma patients.MethodsScreening dephosphorylation-related genes (DRGs) and transcriptome expression data from The Cancer Genome Atlas (TCGA), Molecular signatures database (MSigDB) and constructing risk scoring models. Kaplan-Meier (K-M), nomogram and ROC curve were used to assess the predictive efficacy of the model. Gene set enrichment analysis (GSEA), immune cell infiltration, immunotherapy response and chemotherapeutic drug sensitivity analysis were performed in this study. The correlation between chemotherapeutic drugs and the half maximal inhibitory concentration (IC50) values of 12 DRGs was analyzed. Cell division cycle 25A (CDC25A) and TMZ were screened and verified by experiments. Quantitative Real-Time PCR (qRT-PCR) detection of mRNA expression of 12 genes in human normal glial cells and two glioma cell lines. Transfection techniques overexpressed and knocked down CDC25A. qRT-PCR and Western Blot (WB) were used to detect the mRNA and protein expression levels of CDC25A. Subsequently, verify the effect of CDC25A on TMZ resistance in glioma cells.ResultsThe model established in this study was able to accurately predict the prognosis of glioma patients. Besides, there were significant differences in GSEA, immune cell infiltration, immunotherapeutic response and chemotherapeutic drug sensitivity analysis between glioma patients in the high and low risk groups. The results of CCK8 experiments showed that overexpression of CDC25A increased the susceptibility of U251 and LN229 cells to TMZ, and knockdown of CDC25A attenuated the susceptibility of U251 and LN229 cells to TMZ.
Myeloid dendritic cells and periodontal disease association: integrated study of single-cell sequencing and Mendelian randomization analysis
Authors: Shi ChengJi , Ou XinYi , Lei XiaoXu , Huang LiJuan , Xu ShuHao , Li Wei , Zhao Xi 
Published: January 2025

BackgroundPeriodontal disease is a widespread inflammatory condition that compromises the supporting structures of the teeth, potentially resulting in tooth loss if left untreated. Despite advancements in therapeutic interventions and an enhanced understanding of its pathophysiology, emerging techniques such as single-cell RNA sequencing (scRNA-seq) and Mendelian randomization (MR) present new opportunities for precision medicine in the management of periodontal disease.MethodsData derived from the GSE152042 dataset underwent rigorous quality control, normalization, and dimensionality reduction using Seurat and the MonacoImmuneData framework. Marker genes were identified to delineate subgroups for subsequent analysis utilizing CellChat and ClusterProfilerR. MR analysis of the expression quantitative trait loci (eQTLs) for these genes was conducted to determine causal relationships with periodontal disease, leveraging data from the IEU Open GWAS project.ResultsSingle-cell analysis revealed distinct immune cell subtypes and indicated an increased presence of myeloid dendritic cells (mDCs) in patients with periodontal disease. MR analysis identified twenty-six significant genes, with LIMA1 (LIM domain and actin-binding 1) demonstrating a robust causal association with the progression of periodontal disease. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses highlighted crucial pathways involved in periodontal inflammation and tissue destruction. Visualization at the single-cell level elucidated the role of LIMA1 in disease progression, alongside differences in cell communication dynamics between LIMA1-positive and -negative populations.ConclusionThis study underscores the utility of scRNA-seq and MR in elucidating essential factors in the pathogenesis of periodontal disease, thereby reinforcing the necessity for targeted therapeutic strategies. The identification of LIMA1 as a pivotal gene in periodontal disease progression opens new avenues for precision medicine approaches, potentially enhancing treatment efficacy and patient outcomes in periodontal management.