bluuebunny/crossref_metadata_2025_split huggingface dataset:
О СООТНОШЕНИИ ЗАКОНОДАТЕЛЬСТВА РЕСПУБЛИКИ УЗБЕКИСТАН И ПРАКТИКИ ЕГО ПРИМЕНЕНИЯ НА НАЦИОНАЛЬНОМ УРОВНЕ С МЕЖДУНАРОДНЫМИ СТАНДАРТАМИ РЕАЛИЗАЦИИ ПРАВА НА СВОБОДУ СЛОВА И СМИ
Authors: Антонов-Овсеенко Антон Антонович 
Published: January 2025

В ходе настоящего исследования выдвинута и апробирована гипотеза о том, что национальное законодательство Узбекистана, регулирующее правоотношения государства, граждан, журналистов и СМИ, приведено в достаточное соответствие с международными нормами в этой области, однако практика его применения находится в значительном отставании. В качестве основного использовался теоретический метод сравнительного анализа международных и национальных нормативов в изучаемой сфере. Для определения динамики местоположения Узбекистана в рейтинге неправительственной организации «Репортеры без границ» использовался метод статистического анализа данных за 10-летний период 2015-2024 гг.
Determinants of Patient Satisfaction in Primary Healthcare: A Statistical Exploration
Authors: Ismail Moamen Abdelfadil , Albaradi Khaled Hamad Mohammed , Al-Sobhi Hanadi Abdul Rahman , Al-Otaibi Mohammed Tarhib , Alboriadi Fahad Ali , Tohary Hassan Ali , Balqasem Roa'a Adnan , Alkhayat Haitham Hassan , Alharbi Bandar Mukhlid Falah , Alawad Raheel Ahmed Abass , Alrashidi Nouf Muslem 
Published: January 2025

Background: Patient satisfaction is a critical measure of healthcare quality, reflecting patients’ experiences and the extent to which their needs and expectations are met. While global studies have identified various determinants of satisfaction, research in some regions, particularly in the Gulf, remains limited. This study investigates the determinants of patient satisfaction in primary healthcare settings, focusing on socio-demographic factors and dimensions of care. Methods: This study was conducted among patients receiving services at primary healthcare centers. A systematic sampling approach yielded 398 completed questionnaires. The instrument assessed six dimensions of satisfaction: interpersonal care, technical competence, accessibility, convenience, availability, and overall satisfaction. Data analysis included descriptive statistics, t-tests, ANOVA, and exploratory factor analysis, with internal consistency measured using Cronbach’s alpha. Results: The mean satisfaction score was 35.2 (SD = 6.8). Married patients and those with college degrees reported significantly higher satisfaction. Factor analysis revealed interpersonal care, accessibility, and technical competence as the most influential dimensions. Communication quality and the time spent with healthcare providers were strongly associated with satisfaction. Approximately 64.8% of participants reported high overall satisfaction. Conclusion: Effective communication and patient-centered interactions are key determinants of satisfaction in primary care. Addressing gaps in provider-patient communication and ensuring sufficient consultation time can enhance patient experiences. These findings emphasize the need for ongoing assessment and improvement of healthcare delivery to meet diverse patient expectations
Planning Lessons for Arabic Teachers in the Primary Stage Using Artificial Intelligence Techniques
Authors: Hassan Haifa Hamid , dawood Noor alhuda noor aldeen 
Published: January 2025

The current study aimed to know "lesson planning for Arabic language teachers in the primary stage using artificial intelligence techniques"To verify the objective of the study, the researchers chose the descriptive approach, and the sample was chosen randomly stratified. To build the paragraphs of the questionnaire, the researchers conducted an exploratory study on a number of randomly selected teachers, and reviewed the relevant literature.The paragraphs of the questionnaire reached 84 standards definitively, and the results were summarized in general to the existence of a significant weakness plans lessons for Arabic language teachers for the primary stage, and the alternatives to the paragraphs of the scale were five-point, and as follows (not mastered, slightly mastered, well mastered, excellent). When the saw to result, the researcher propose recommendations for using artificial intelligence applications to solve the problem of plans, including: Training Arabic language teachers on how to plan lessons, especially the daily plan in light of artificial intelligence applications.Issuing an educational booklet on how to prepare plans and how to organize each of the Arabic language plans from artificial intelligence programs.Issuing an educational booklet on how to prepare plans and how to organize each of the Arabic language plans from artificial intelligence programs.To complement the current study, the researchers propose to conduct several studies, including:A study similar to the current study is the study of middle and middle school teachers.The impact of training workshops to develop teachers in artificial intelligence applications in planning their lessons.
Implementasi Clustering K-Means Untuk Pengelompokan Perkembangan Anak Didik
Authors: Indra Dwi Cahya  , Andi Tenri Puji  , Fitria  
Published: January 2025

TK PAUD KB Kasih Ibu Tulin Onsoi adalah lembaga paud yang didirikan secara mandiri oleh pemerintah desa Sebuku. Setiap semester akan dilakukan evaluasi perkembangan anak didik untuk memberikan informasi yang berkenaan dengan kemajuan siswa melalui rapor perkembangan anak didik. Permasalahan yang ada pada TK PAUD Kasih Ibu adalah saat ini guru di TK PAUD KB Kasih Ibu Tulin Onsoi melihat perkembangan anak hanya berdasarkan nilai rapor, belum ada pengelompokan siswa untuk mengetahui siswa yang akan dipantau lebih lanjut melalui penekanan pembelajaran dari siswa yang belum berkembang. Salah satu metode yang dapat digunakan dalam proses pengelompokan yaitu menggunakan metode K-Means. Penelitian ini dilakukan dengan menggunakan data raport dari TK PAUD KB Kasih Ibu selama satu semester. Data kemudian dianalisa menggunakan metode K-Means dengan 4 Klaster yang sudah ditentukan. Terdapat 4 kelompok utama yaitu Belum Berkembang (BB), Mulai Berkembang (MB), Berkembang Sesuai Harapan (BSH) dan Berkembang Sangat Baik (BSB). Berdasarkan uji coba yang telah diterapkan sebelumnya, bahwa dapat disimpulkan ialah pengelompokkan anak berhasil diterapkan menjadi beberapa klaster dengan nilai kemiripan yang hampir sama. Dapat disimpulkan bahwa sekolah yang memiliki data anak 38 siswa tersebut dapat dikelompokkan menjadi 4 klaster dengan hasil.: Berkembang Sangat Baik (BSB) 13 anak, Berkembang Sesuai Harapan (BSH) 4 anak, Mulai Berkembang (MB) 8 anak dan Belum Berkembang (BB) 13 anak.
Применение стратегии динамического проветривания для повышения энергоэффективности систем вентиляции
Authors: Левин Л.Ю. , Зайцев А.В. , Мальцев С.В. , Кузьминых Е.Г. 
Published: January 2025

Most mining companies have been mining mineral deposits since the second half of the 20th century. During this time, the length and branching of mines has grown substantially, with the total length of mine workings in some mines reaching 400 km. In such a situation, ventilation systems have become incredibly complex, involving simultaneous operation of up to 5 main fan units. Existing ventilation systems operate in a constant ventilation mode, that is maximum air is supplied to all working areas, regardless of the type of work. In addition, current methods for calculating the required amount of air for ventilation of working zones and the mine as a whole do not provide for dynamic control of air flows depending on the technological operations performed. The construction of automatic systems for calculating the required amount of air for mine ventilation, as well as dynamic control of air flows, willoptimize the process of mine ventilation in accordance with the actual need for fresh air at the working areas and the mine as a whole when performing the relevant technological operations. The implementation of the dynamic ventilation strategy will significantly improve the energy efficiency of the ventilation system of both the existing and the projected mine. Moreover, the introduction of means for controlling the parameters of the mine atmosphere will make it possible to promptly respond to exceeding the maximum permissible concentrations of explosive and poisonous gases by increasing the air supply tothe mining area. Thus, the application of dynamic ventilation strategy allows to obtain additional air reserve while improving aerological safety
Protective Effect of Raphanus sativus Using by Phytochemical and Antiulcer Activity by Aspirin Induced Gastric Ulcer
Authors: Hemamalini K. , Ramulu Y , Rambabu B. 
Published: January 2025

Raphanus sativus, a widely growing, has been used in traditional medicine for treating many ailments. The objective of the present study was to evaluate the effects of Aspirinic extract of R. Sativus leaves on gastric ulcer. The antiulcer effects of MERS at 100 and 200 mg/kg doses were evaluated on Aspirin gastric ulcer models. The histological changes in gastric tissue of ulcer mice were also determined in aspirin induced models. R. sativus treatment significantly (P < 0.01) reduced the ulcer index and significantly (P < 0.01) increased the gastric pH of both Aspirin and aspirin-induced ulcer mice. The observations confirm that MERS whole plant has antiulcer activities.
Differences in Health Professionals’ Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity
Authors: Yan Chao , Zhang Xinmeng , Yang Yuyang , Kang Kaidi , Were Martin C. , Embí Peter , Patel Mayur B. , Malin Bradley A. , Kho Abel N. , Chen You 
Published: October 2023

ImportanceUS health professionals devote a large amount of effort to engaging with patients’ electronic health records (EHRs) to deliver care. It is unknown whether patients with different racial and ethnic backgrounds receive equal EHR engagement.ObjectiveTo investigate whether there are differences in the level of health professionals’ EHR engagement for hospitalized patients according to race or ethnicity during inpatient care.Design, Setting, and ParticipantsThis cross-sectional study analyzed EHR access log data from 2 major medical institutions, Vanderbilt University Medical Center (VUMC) and Northwestern Medicine (NW Medicine), over a 3-year period from January 1, 2018, to December 31, 2020. The study included all adult patients (aged ≥18 years) who were discharged alive after hospitalization for at least 24 hours. The data were analyzed between August 15, 2022, and March 15, 2023.ExposuresThe actions of health professionals in each patient’s EHR were based on EHR access log data. Covariates included patients’ demographic information, socioeconomic characteristics, and comorbidities.Main Outcomes and MeasuresThe primary outcome was the quantity of EHR engagement, as defined by the average number of EHR actions performed by health professionals within a patient’s EHR per hour during the patient’s hospital stay. Proportional odds logistic regression was applied based on outcome quartiles.ResultsA total of 243 416 adult patients were included from VUMC (mean [SD] age, 51.7 [19.2] years; 54.9% female and 45.1% male; 14.8% Black, 4.9% Hispanic, 77.7% White, and 2.6% other races and ethnicities) and NW Medicine (mean [SD] age, 52.8 [20.6] years; 65.2% female and 34.8% male; 11.7% Black, 12.1% Hispanic, 69.2% White, and 7.0% other races and ethnicities). When combining Black, Hispanic, or other race and ethnicity patients into 1 group, these patients were significantly less likely to receive a higher amount of EHR engagement compared with White patients (adjusted odds ratios, 0.86 [95% CI, 0.83-0.88; P &amp;lt; .001] for VUMC and 0.90 [95% CI, 0.88-0.92; P &amp;lt; .001] for NW Medicine). However, a reduction in this difference was observed from 2018 to 2020.Conclusions and RelevanceIn this cross-sectional study of inpatient EHR engagement, the findings highlight differences in how health professionals distribute their efforts to patients’ EHRs, as well as a method to measure these differences. Further investigations are needed to determine whether and how EHR engagement differences are correlated with health care outcomes.
Large Language Model−Based Chatbot vs Surgeon-Generated Informed Consent Documentation for Common Procedures
Authors: Decker Hannah , Trang Karen , Ramirez Joel , Colley Alexis , Pierce Logan , Coleman Melissa , Bongiovanni Tasce , Melton Genevieve B. , Wick Elizabeth 
Published: October 2023

ImportanceInformed consent is a critical component of patient care before invasive procedures, yet it is frequently inadequate. Electronic consent forms have the potential to facilitate patient comprehension if they provide information that is readable, accurate, and complete; it is not known if large language model (LLM)-based chatbots may improve informed consent documentation by generating accurate and complete information that is easily understood by patients.ObjectiveTo compare the readability, accuracy, and completeness of LLM-based chatbot- vs surgeon-generated information on the risks, benefits, and alternatives (RBAs) of common surgical procedures.Design, Setting, and ParticipantsThis cross-sectional study compared randomly selected surgeon-generated RBAs used in signed electronic consent forms at an academic referral center in San Francisco with LLM-based chatbot-generated (ChatGPT-3.5, OpenAI) RBAs for 6 surgical procedures (colectomy, coronary artery bypass graft, laparoscopic cholecystectomy, inguinal hernia repair, knee arthroplasty, and spinal fusion).Main Outcomes and MeasuresReadability was measured using previously validated scales (Flesh-Kincaid grade level, Gunning Fog index, the Simple Measure of Gobbledygook, and the Coleman-Liau index). Scores range from 0 to greater than 20 to indicate the years of education required to understand a text. Accuracy and completeness were assessed using a rubric developed with recommendations from LeapFrog, the Joint Commission, and the American College of Surgeons. Both composite and RBA subgroup scores were compared.ResultsThe total sample consisted of 36 RBAs, with 1 RBA generated by the LLM-based chatbot and 5 RBAs generated by a surgeon for each of the 6 surgical procedures. The mean (SD) readability score for the LLM-based chatbot RBAs was 12.9 (2.0) vs 15.7 (4.0) for surgeon-generated RBAs (P = .10). The mean (SD) composite completeness and accuracy score was lower for surgeons’ RBAs at 1.6 (0.5) than for LLM-based chatbot RBAs at 2.2 (0.4) (P &amp;lt; .001). The LLM-based chatbot scores were higher than the surgeon-generated scores for descriptions of the benefits of surgery (2.3 [0.7] vs 1.4 [0.7]; P &amp;lt; .001) and alternatives to surgery (2.7 [0.5] vs 1.4 [0.7]; P &amp;lt; .001). There was no significant difference in chatbot vs surgeon RBA scores for risks of surgery (1.7 [0.5] vs 1.7 [0.4]; P = .38).Conclusions and RelevanceThe findings of this cross-sectional study suggest that despite not being perfect, LLM-based chatbots have the potential to enhance informed consent documentation. If an LLM were embedded in electronic health records in a manner compliant with the Health Insurance Portability and Accountability Act, it could be used to provide personalized risk information while easing documentation burden for physicians.
SUMO in the regulation of DNA repair and transcription at nuclear pores
Authors: Gasser Susan M. , Stutz Françoise 
Published: October 2023

Two related post‐translational modifications, the covalent linkage of Ubiquitin and the Small Ubiquitin‐related MOdifier (SUMO) to lysine residues, play key roles in the regulation of both DNA repair pathway choice and transcription. Whereas ubiquitination is generally associated with proteasome‐mediated protein degradation, the impact of sumoylation has been more mysterious. In the cell nucleus, sumoylation effects are largely mediated by the relocalization of the modified targets, particularly in response to DNA damage. This is governed in part by the concentration of SUMO protease at nuclear pores [Melchior, F et al. (2003) Trends Biochem Sci 28, 612–618; Ptak, C and Wozniak, RW (2017) Adv Exp Med Biol 963, 111–126]. We review here the roles of sumoylation in determining genomic locus positioning relative to the nuclear envelope and to nuclear pores, to facilitate repair and regulate transcription.
Computed tomography dose index determination in dose modulation prospectively involving the third‐generation iterative reconstruction and noise index
Authors: Scott Alexander W. , Alancherry Alok Shankar Pookotte , Lee Christina , Eastman Emi , Zhou Yifang 
Published: October 2023

AbstractPurposeOptimizing CT protocols is challenging in the presence of automatic dose modulation because the CT dose index (CTDIvol) at different patient sizes is unknown to the operator. The task is more difficult when both the image quality index and iterative reconstruction prospectively affect the dose determination. It is of interest in practice to be informed of the CTDIvol during the protocol initialization and evaluation. It was our objective to obtain a predictive relationship between CTDIvol, the image quality index, and iterative reconstruction strength at various patient sizes.MethodsDose modulation data were collected on a GE Revolution 256‐slice scanner utilizing a Mercury phantom and selections of the noise index (NI) from 8 to 17, the third generation iterative reconstruction (ASIR‐V) from 0% to 80%, and phantom diameters from 16 to 36 cm. The fixed parameters were 120 kVp, a pitch of .984, and a collimation of 40 mm with a primary slice width of 2.5 mm. The CTDIvol per diameter was based on the average tube current over three adjacent slices (same or similar diameter) multiplied by a conversion factor between the average mA of the series and the reported CTDIvol. The relationship between CTDIvol, NI, and ASIR‐V for each diameter was fitted with a 2nd order polynomial of ASIR‐V multiplied by a power law of NI.ResultsThe ASIR‐V fit parameters versus diameter followed a Lorentz function while the NI exponent versus diameter followed an exponential growth function. The CTDIvol predictions were accurate within 15% compared to phantom results on a separate GE Revolution. For clinical relevance, the phantom diameter was converted to an abdomen or chest equivalent diameter and was well matched to patient data.ConclusionThe fitted relationship for CTDIvol. for given values of NI and ASIR‐V blending for a range of phantom sizes was a good match to phantom and patient data. The results can be of direct help for selecting adequate parameters in CT protocol development.
Boosting Kinetics of Ce3+/Ce4+ Redox Reaction by Constructing TiC/TiO2 Heterojunction for Cerium‐Based Flow Batteries
Authors: Wu Jing , Cao Xianrun , Ji Ya , Zhang Feifei , Huang Xiaolei , Ouyang Gang Feng , Yu Juezhi 
Published: October 2023

AbstractCerium, a unique rare earth element, possesses a relatively high abundance, low cost, and high redox voltage, making it an attractive candidate for redox flow batteries. However, the sluggish kinetics and corrosion nature of the Ce3+/Ce4+ electrolyte result in overpotential and degradation of carbon felt (CF) electrodes, which hinders the development of cerium‐based flow batteries. Therefore, it is essential to develop an electrode with high catalytic activity and corrosion resistance to the Ce3+/Ce4+ electrolyte. Herein, a TiC/TiO2 coated carbon felt (TiC/TiO2‐CF) electrode is proposed. Remarkably, the TiC/TiO2 coating effectively minimizes the exposure of the CF to the highly corrosive cerium electrolyte, consequently enhancing the electrode's corrosion resistance. Additionally, X‐ray photoelectron spectroscopy and high‐resolution transmission electron microscopy characterizations reveal the formation of a heterojunction between TiC and TiO2, which significantly enhances the redox reaction kinetics of the Ce3+/Ce4+ redox couple. Eventually, the practical application of TiC/TiO2‐CF catalytic electrode in a Ce–Fe flow battery is demonstrated. This study sheds light on the synthesis conditions of the TiC/TiO2‐CF electrode, elucidates its heterojunction structure, and presents a novel Ce–Fe flow battery system.
Magnetically Manipulated Optoelectronic Hybrid Microrobots for Optically Targeted Non‐Genetic Neuromodulation
Authors: Gao Yuxin , Guo Yuan , Yang Yaorong , Tang Yanping , Wang Biao , Yan Qihang , Chen Xiyu , Cai Junxiang , Fang Li , Xiong Ze , Gao Fei , Wu Changjin , Wang Jizhuang , Tang Jinyao , Shi Lei , Li Dan 
Published: October 2023

AbstractOptically controlled neuromodulation is a promising approach for basic research of neural circuits and the clinical treatment of neurological diseases. However, developing a non‐invasive and well‐controllable system to deliver accurate and effective neural stimulation is challenging. Micro/nanorobots have shown great potential in various biomedical applications because of their precise controllability. Here, a magnetically‐manipulated optoelectronic hybrid microrobot (MOHR) is presented for optically targeted non‐genetic neuromodulation. By integrating the magnetic component into the metal–insulator–semiconductor junction design, the MOHR has excellent magnetic controllability and optoelectronic properties. The MOHR displays a variety of magnetic manipulation modes that enables precise and efficient navigation in different biofluids. Furthermore, the MOHR could achieve precision neuromodulation at the single‐cell level because of its accurate targeting ability. This neuromodulation is achieved by the MOHR's photoelectric response to visible light irradiation, which enhances the excitability of the targeted cells. Finally, it is shown that the well‐controllable MOHRs effectively restore neuronal activity in neurons damaged by β‐amyloid, a pathogenic agent of Alzheimer's disease. By coupling precise controllability with efficient optoelectronic properties, the hybrid microrobot system is a promising strategy for targeted on‐demand optical neuromodulation.
Selectively Modulating Componential Morphologies of Bulk Heterojunction Organic Solar Cells
Authors: He Xinyu , Liu Zhi‐Xi , Chen Hongzheng , Li Chang‐Zhi 
Published: October 2023

AbstractAchieving precise control over the nanoscale morphology of bulk heterojunction films presents a significant challenge for the conventional post‐treatments employed in organic solar cells (OSCs). In this study, a near‐infrared photon‐assisted annealing (NPA) strategy is developed for fabricating high‐performance OSCs under mild processing conditions. It is revealed a top NIR light illumination, together with the bottom heating, enables the selective tuning of the molecular arrangement and assembly of narrow bandgap acceptors in polymer networks to achieve optimal morphologies, as well as the acceptor‐rich top surface of active layers. The derived OSCs exhibit a remarkable power conversion efficiency (PCE) of 19.25%, representing one of the highest PCEs for the reported binary OSCs so far. Moreover, via the NPA strategy, it has succeeded in accessing top‐illuminated flexible OSCs using thermolabile polyethylene terephthalate from mineral water bottles, displaying excellent mechanical stabilities. Overall, this work will hold the potential to develop organic solar cells under mild processing with various substrates.