bluuebunny/crossref_metadata_2025 huggingface dataset:
Problematika Rekrutmen dan Penempatan Guru di Madrasah Swasta
Authors: Sudarsono
Published: January 2025

Rekrutmen dan penempatan guru di madrasah swasta menghadapi berbagai tantangan yang berdampak signifikan pada kualitas pendidikan. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi rekrutmen dan penempatan guru, dampaknya terhadap proses pembelajaran, serta strategi pengelolaan SDM yang dapat diterapkan. Penelitian ini menggunakan pendekatan kualitatif dengan desain studi kasus, di mana data dikumpulkan melalui wawancara mendalam, observasi, dan analisis dokumen di tiga madrasah swasta. Hasil penelitian mengungkapkan bahwa keterbatasan anggaran, kebijakan rekrutmen yang kurang berbasis kompetensi, dan minimnya pelatihan berkelanjutan menjadi hambatan utama. Dampak dari permasalahan ini terlihat pada penurunan motivasi siswa dan berkurangnya kepercayaan masyarakat terhadap madrasah. Kesimpulan penelitian menegaskan pentingnya rekrutmen berbasis kompetensi, pelatihan guru yang berkelanjutan, dan sistem evaluasi kinerja yang transparan. Implikasi dari penelitian ini memberikan panduan praktis bagi madrasah swasta untuk memperbaiki pengelolaan SDM dan meningkatkan kualitas pendidikan secara keseluruhan.
Implementasi Nilai Persatuan Melalui Gotong Royong: Pengabdian Masyarakat dalam Pemeliharaan Kebersihan Musholla dan Kuburan di Desa Talapiti, Kabupaten Bima
Authors: Rahmawati  , Mastorat  , Muhammad Asad Immaduddin  , Jufri
Published: January 2025

Penelitian pengabdian masyarakat ini bertujuan untuk menggambarkan secara mendalam kegiatan peduli kebersihan yang dilakukan secara kolektif oleh masyarakat Desa Talapiti, Kecamatan Ambalawi, Kabupaten Bima, khususnya di area kuburan dan musholla. Penelitian ini menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data berupa observasi langsung dan dokumentasi yang dilaksanakan di lokasi penelitian. Metode yang diterapkan sebelum kegiatan adalah Participatory Action Research (PAR), yang memungkinkan peneliti untuk berinteraksi langsung dengan masyarakat dalam merencanakan dan melaksanakan kegiatan tersebut. Hasil penelitian menunjukkan bahwa masyarakat Desa Talapiti memiliki tingkat kepedulian yang sangat tinggi terhadap kebersihan lingkungan sekitar kuburan dan musholla. Temuan ini mencerminkan adanya rasa kebersamaan dan solidaritas yang sangat kuat di antara warga desa, serta menonjolkan nilai-nilai silaturahmi yang mendalam dalam interaksi sosial mereka. Budaya gotong royong yang masih terjaga dengan baik dalam masyarakat ini terlihat jelas dari partisipasi aktif mereka dalam menjaga kebersihan lingkungan. Keikutsertaan masyarakat tidak hanya terbatas pada kebersihan secara individu, tetapi juga dalam bentuk kolaborasi bersama untuk merawat kebersihan musholla dan area sekitarnya. Dengan demikian, kegiatan ini tidak hanya berfungsi sebagai upaya fisik dalam menjaga kebersihan, tetapi juga menciptakan ruang sosial yang positif. Musholla menjadi titik fokus yang mempererat ikatan sosial dan memperkuat nilai-nilai positif dalam kehidupan bermasyarakat. Budaya gotong royong yang telah terbentuk dengan baik di Desa Talapiti ini, melalui pemeliharaan lingkungan dan kebersihan bersama, berpotensi menjadi landasan yang kokoh untuk memperkuat kohesi sosial serta membangun masyarakat yang lebih harmonis, peduli, dan berkelanjutan
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.
Prezes UOKiK jako organ właściwy w sprawach praktyk nieuczciwego wykorzystania przewagi kontraktowej – uwagi krytyczne
Authors:   Wyższa Szkoła Informatyki i Zarządzania w Rzeszowie, Jurkowska-Gomułka Agata
Published: January 2025

Artykuł analizuje postanowienia ustawy o przeciwdziałaniu nieuczciwemu wykorzystaniu przewagi kontraktowej z perspektywy instytucjonalnej. Artykuł zawiera zestawienie argumentów przemawiających za tym, że przyjęte przez ustawodawcę rozwiązanie, polegające na przydzieleniu Prezesowi UOKiK roli organu odpowiedzialnego za wdrażanie ustawy, należy uznać za całkowicie chybione. Punktem odniesienia dla prowadzonych rozważań są postanowienia ustawy o ochronie konkurencji i konsumentów. Autorka postuluje powierzenie kompetencji do przeciwdziałania nieuczciwemu wykorzystaniu przewagi kontraktowej wyspecjalizowanemu organowi administracji sektora rolnego.
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
Поздеев Александр Александрович – основатель академической науки в Перми и на западном Урале 28.03.1926 – 31.08.1986 гг.
Authors: Роговой А.А.
Published: January 2025

нет
КОМПЛЕКСНАЯ ОЦЕНКА ЭНЕРГОЭФФЕКТИВНОСТИ СИСТЕМЫ ЗАМОРАЖИВАНИЯ ПРИ СТРОИТЕЛЬСТВЕ ШАХТНЫХ СТВОЛОВ НА ПРИМЕРЕ СКИПОВОГО СТВОЛА КАЛИЙНОГО РУДНИКА В РЕСПУБЛИКЕ БЕЛАРУСЬ
Authors: Семин М.А. , Дунькина А.А.
Published: January 2025

В представленной работе на основании данных температурного мониторинга состояния ледопородного ограждения (ЛПО) скипового ствола строящегося калийного рудника параметризована теплофизическая модель замораживаемого массива пород. Она использована для оценки энергоэффективности работы системы замораживания. Показано, что в условиях достаточно большого интервала замораживания пород для верхних слоев наблюдаются существенные превышения фактической толщины ЛПО над требуемой толщиной, а также имеется высокая доля неэффективно используемой тепловой энергии, затраченной на замораживание пород.
РАСЧЕТ ОБЪЕМА ИЗВЕСТНЯКА ДЛЯ ЗАПОЛНЕНИЯ СИСТЕМ ГЕОХИМИЧЕСКОЙ ОЧИСТКИ ШАХТНЫХ ВОД НА ПРИМЕРЕ ИЗЛИВОВ КИЗЕЛОВСКОГО УГОЛЬНОГО БАССЕЙНА
Authors: Фетисова Н.Ф.
Published: January 2025

Известняк является наиболее широко применяемым материалом для пассивной очистки шахтных вод. Растворение кальцита кислыми водами приводит к повышению pH, нейтрализации кислотности и добавлению в воду гидрокарбонат-ионов. Однако при контакте с кислой высокожелезистой водой поверхность известняка быстро покрывается охристой пленкой, препятствующей его дальнейшему растворению. Одним из способов предотвращения данного негативного эффекта является изоляция шахтной воды от контакта с атмосферой путем создания фильтрующих дрен, заполненных щебнем известняка. Такие подземные водотоки получили название бескислородных известняковых дрен. Ввиду медленного протекания реакций в подобных системах очистки для них требуется значительное количество заполняющего материала. В настоящей работе, на примере ряда изливов Кизеловского угольного бассейна, выполнена оценка необходимого объема щебня известняка для их заполнения. В результате расчетов были определены: минимальный объем известняка, требуемый для удержания воды в системе в течение рекомендуемого времени; объем известняка «с запасом» на 15 лет работы дрены, определенный с учетом скорости его растворения; объем известняка, рассчитанный на основании показателя эффективности удаления кислотности одной тонной известняка в сутки.
МЕТОД ПРОГНОЗИРОВАНИЯ ГАЗОДИНАМИЧЕСКИХ ЯВЛЕНИЙ НА ОСНОВЕ ДИНАМИЧЕСКОГО АНАЛИЗА СЕЙСМОРАЗВЕДОЧНЫХ ДАННЫХ
Authors: Фатькин К.Б.
Published: January 2025

Показан опыт использования сейсмоакустических исследований во внутренних точках среды для обнаружения потенциально опасных, с точки зрения возникновения газодинамических явлений, зон трещиноватости. В комплексе обработки и интерпретации полученных данных применена методика анализа изменения амплитуды отраженной волны с удалением источник-приемник.
АНАЛИЗ ВЛИЯНИЯ ОТСТАВАНИЯ ВЕНТИЛЯЦИОННОГО ТРУБОПРОВОДА НА ЭФФЕКТИВНОСТЬ ПРОВЕТРИВАНИЯ ТУПИКОВОЙ ВЫРАБОТКИ С ИСПОЛЬЗОВАНИЕМ НАГНЕТАТЕЛЬНОГО СПОСОБА
Authors: Таций А.В.
Published: January 2025

В настоящей работе представлены и проанализированы три количественных показателя эффективности проветривания тупиковой горной выработки с использованием нагнетательного способа. Предложенные показатели позволяют комплексно оценить эффективность проветривания, как на качественном, так и количественном уровне. Для построения и валидации расчетной модели использованы исходные данные, полученные в результате замеров на руднике «Купол». В результате выполненной работы получены аппроксимирующие зависимости, позволяющие подобрать параметры величины отставания или скорость в вентиляционном трубопроводе для эффективного проветривания тупиковой выработки. Результаты исследования могут быть применены в качестве обоснования для увеличения отставания вентиляционного трубопровода от груди забоя на различных рудниках.
НЕСТАЦИОНАРНАЯ МАТЕМАТИЧЕСКАЯ МОДЕЛЬ ВЕНТИЛЯЦИИ ПРИ ВЗРЫВЕ МЕТАНА В ГОРНЫХ ВЫРАБОТКАХ
Authors: Палеев Д.Ю.
Published: January 2025

Рассматривается математическая модель на основе уравнений газовой динамики, позволяющая рассчитывать нестационарные процессы, возникающие в вентиляционной сети шахты при аварийных взрывах метана в горных выработках. С ее помощью можно одновременно рассчитывать как взрыв метана с распространением затухающей ударной волны по разветвленной сети горных выработок, так и переходные процессы, вызванные изменением воздухораспределения во время взрыва.
How cancer-associated fibroblasts promote T-cell exclusion in human lung tumors: a physical perspective
Authors: Ackermann Joseph , Bernard Chiara , Sirven Philemon , Salmon Hélène , Fraldi Massimiliano , Ben Amar Martine
Published: January 2025

The tumor stroma is a tissue composed primarily of extracellular matrix, fibroblasts, immune cells, and vasculature. Its structure and functions, such as nutrient support and waste removal, are altered during malignancy. Tumor cells transform fibroblasts into cancer-associated fibroblasts, which have important immunosuppressive activity on which growth, invasion, and metastasis depend. These activated fibroblasts prevent immune cell infiltration into the tumor nest, thereby promoting cancer progression and inhibiting T-cell-based immunotherapy. To understand these complex interactions, we measure the density of different cell types in the stroma using immunohistochemistry techniques on tumor samples from lung cancer patients. We incorporate these data, and also known information on cell proliferation rates and relevant biochemical interactions, into a minimal dynamical system with few parameters. A spatio-temporal approach to the inhomogeneous environment explains the cell distribution and fate of lung carcinomas. The model reproduces that cancer-associated fibroblasts act as a barrier to tumor growth, but also reduce the efficiency of the immune response. The final outcome depends on the parameter values for each patient and leads to either tumor invasion, persistence, or eradication as a result of the interplay between cancer cell growth, T-cell cytotoxic activity, and fibroblast attraction, activation, and spatial dynamics. Our conclusion is that a wide spectrum of scenarios exists as a result of the competition between the characteristic times of cancer cell growth and the activity rates of the other species. Nevertheless, distinct trajectories and patterns allow quantitative predictions that may help in the selection of new therapies and personalized protocols. We conclude with different options for further modeling.
AXONAL distribution of mitochondria maintains neuronal autophagy during aging via eIF2β
Authors: Shinno Kanako , Miura Yuri , Iijima Koichi M , Suzuki Emiko , Ando Kanae
Published: January 2025

Neuronal aging and neurodegenerative diseases are accompanied by proteostasis collapse, while cellular factors that trigger it are not identified. Impaired mitochondrial transport in the axon is another feature of aging and neurodegenerative diseases. Using
Drosophila
, we found that genetic depletion of axonal mitochondria causes dysregulation of protein degradation. Axons with mitochondrial depletion showed abnormal protein accumulation and autophagic defects. Lowering neuronal ATP levels by blocking glycolysis did not reduce autophagy, suggesting that autophagic defects are associated with mitochondrial distribution. We found that eIF2β was increased by the depletion of axonal mitochondria via proteome analysis. Phosphorylation of eIF2α, another subunit of eIF2, was lowered, and global translation was suppressed. Neuronal overexpression of
eIF2β
phenocopied the autophagic defects and neuronal dysfunctions, and lowering
eIF2β
expression rescued those perturbations caused by depletion of axonal mitochondria. These results indicate the mitochondria-eIF2β axis maintains proteostasis in the axon, of which disruption may underly the onset and progression of age-related neurodegenerative diseases.
Learning with semantic ambiguity for unbiased scene graph generation
Authors: Zhong Shanjin , Cao Yang , Chen Qiaosen , Gong Jie
Published: January 2025

Scene graph generation (SGG) aims to identify and extract objects from images and elucidate their interrelations. This task faces two primary challenges. Firstly, the long-tail distribution of relation categories causes SGG models to favor high-frequency relations, such as “on” and “in”. Secondly, some subject-object pairs may have multiple reasonable relations, which often possess a certain degree of semantic similarity. However, the use of one-hot ground-truth relation labels does not effectively represent the semantic similarities and distinctions among relations. In response to these challenges, we propose a model-agnostic method named Mixup and Balanced Relation Learning (MBRL). This method assigns soft labels to samples exhibiting semantic ambiguities and optimizes model training by adjusting the loss weights for fine-grained and low-frequency relation samples. Its model-agnostic design facilitates seamless integration with diverse SGG models, enhancing their performance across various relation categories. Our approach is evaluated on widely-used datasets, including Visual Genome and Generalized Question Answering, both with over 100,000 images, providing rich visual contexts for scene graph model evaluation. Experimental results show that our method outperforms state-of-the-art approaches on multiple scene graph generation tasks, demonstrating significant improvements in both relation prediction accuracy and the handling of imbalanced data distributions.
Blockchain enabled policy-based access control mechanism to restrict unauthorized access to electronic health records
Authors: Yaqub Nadeem , Zhang Jianbiao , Khalid Muhammad Irfan , Wang Weiru , Helfert Markus , Ahmed Mansoor , Kim Jungsuk
Published: January 2025

Electronic health record transmission and storage involve sensitive information, requiring robust security measures to ensure access is limited to authorized personnel. In the existing state of the art, there is a growing need for efficient access control approaches for the secure accessibility of patient health data by sustainable electronic health records. Locking medical data in a healthcare center forms information isolation; thus, setting up healthcare data exchange platforms is a driving force behind electronic healthcare centers. The healthcare entities access rights like subject, controller, and requester are defined and regulated by access control policies as defined by the General Data Protection Regulation (GDPR). In this work, we have introduced a blend of policy-based access control (PBAC) system backed by blockchain technology, where smart contracts govern the intrinsic part of security and privacy. As a result, any Subject can know at any time who currently has the right to access his data. The PBAC grants access to electronic health records based on predefined policies. Our proposed PBAC approach employs policies in which the subject, controller, and requester can grant access, revoke access, and check logs and actions made in a particular healthcare system. Smart contracts dynamically enforce access control policies and manage access permissions, ensuring that sensitive data is available only to authorized users. Delineating the proposed access control system and comparing it to other systems demonstrates that our approach is more adaptable to various healthcare data protection scenarios where there is a need to share sensitive data simultaneously and a robust need to safeguard the rights of the involved entities.
A hybrid blockchain-based solution for secure sharing of electronic medical record data
Authors: Han Gang , Ma Yan , Zhang Zhongliang , Wang Yuxin
Published: January 2025

Patient privacy data security is a pivotal area of research within the burgeoning field of smart healthcare. This study proposes an innovative hybrid blockchain-based framework for the secure sharing of electronic medical record (EMR) data. Unlike traditional privacy protection schemes, our approach employs a novel tripartite blockchain architecture that segregates healthcare data across distinct blockchains for patients and healthcare providers while introducing a separate social blockchain to enable privacy-preserving data sharing with authorized external entities. This structure enhances both security and transparency while fostering collaborative efforts across different stakeholders. To address the inherent complexity of managing multiple blockchains, a unique cross-chain signature algorithm is introduced, based on the Boneh-Lynn-Shacham (BLS) signature aggregation technique. This algorithm not only streamlines the signature process across chains but also strengthens system security and optimizes storage efficiency, addressing a key challenge in multi-chain systems. Additionally, our external sharing algorithm resolves the prevalent issue of medical data silos by facilitating better data categorization and enabling selective, secure external sharing through the social blockchain. Security analyses and experimental results demonstrate that the proposed scheme offers superior security, storage optimization, and flexibility compared to existing solutions, making it a robust choice for safeguarding patient data in smart healthcare environments.
Assessment of Quality Water in the Western Zone of Ebrié Lagoon, Côte d’Ivoire
Authors: Yao Koffi Simplice , Atse Boua Celestin , Trokourey Albert
Published: January 2025

Waters of the western zone of the Ebrié lagoon are influenced by marine waters and inflows from the Agneby and Bandaman rivers, as well as chemical effluent discharges from agri-food plants and human activities. The objective of this work is to study water quality in the western part of the Ebrié Lagoon. Water samples were collected in sectors IV and V of the Ebrié lagoon from eleven stations during february 2014 to january 2015. Temperature, pH, dissolved oxygen and salinity were measured in situ by a multi-parameter. Transparency was measured by a Secchi disc. Water samples for suspended solids collected are determined using the method described by Aminot and Chaussepied. The result indicate that, mean annual temperature varied between 28.84 ± 0.88°C and 28.91 ± 0.50°C in sectors IV and V respectively. In sector IV, the water is acidic during the rainy season, and alkaline during the dry season in sector V. Mean annual dissolved oxygen values obtained during this campaign were 5.75 ± 1.28 mg/L and 6.19 ± 1.47 mg/L in sectors IV and V respectively. Aquatic life appears to be more normal in sector V than in sector IV. Mean salinity values showed the influence of the Vridi Canal on these two sectors. Mean transparency values were low. average suspended solids values were high, especially in sector IV with 16.22 mg/L. The waters of sector IV are more turbid than those of sector V. Overall, aquatic life is almost normal in both sectors.
Effect of Organic Fertilizers on Growth and Yield of Garlic (Allium sativum L.) in Obio Akpa, Akwa Ibom State, Nigeria
Authors: E. A. Akpan, , A. E Bernard, , O. A. Essien, , O. R. Akata, , F. E. Ben,
Published: January 2025

The study was conducted at the Teaching and Research Farm of Akwa Ibom State University, Obio Akpa Campus, in May, 2022 to February, 2023 cropping seasons to examine the effect of organic fertilizers namely: Decomposed Fluted Pumpkin pod (DFPP), oil palm Bunch Ash (OPBA) and poultry Manure (PM) on the growth and yield performance of Garlic. The experiment was laid out in a Randomized complete Block Design with four treatments replicated three times.
The growth and yield Parameters were number of leaves, length of leaves, plant height, number of Cloves, weight of fresh bulb, bulb diameter and bulb length. Data obtained were subjected to analysis of variance. The results showed that the four treatment differed slightly in number of leaves across the growth period and their mean differences were not significant (p<0.05). DFPP produced the longest leaves (62.76cm) at 6 WAP, followed by OPBA (59.07cm), while control had the least value (57.97cm) and their differences was significant (p<0.05). The mean height of Garlic plant obtained from the Four treatments differed significantly (p<0.05) from the initial growth period with DEPP producing the tallest plant (58.27cm) at 4 WAP, while OPBA had the least (53.81cm). The yield parameters obtained, PM had the highest fresh weight of Garlic (19.94g) followed by DFPP (13.62g) and OPBA (13.32g), while the control had the least (8.28g) and their difference was significant. DFPP recorded the highest bulb diameter (3.14cm) significantly different (p<0.05) from PM, OPBA and control with 3.02cm, 2.76cm and 2.74cm respectively. PM recorded the highest number of cloves (5.33), while DFPP, OPBA and control recorded 5.00 and their difference were not significant (p<0.05). PM, also had the highest bulb length (3.88cm), while control had the least (3.51cm). Therefore, combined application of DFPP and PM is highly recommended to maintain high yield of crop in the study area.
Sustainable Soybean Cultivation Strategies in the NIK Region: Unravelling Climate and Soil Dynamics
Authors: Biradar Bheemashankar , Patil R. H. , Thimmareddy Hemareddy , Saif Mohammed Rizwan , H S Sowmya , Nagangoudar Mahantesh B. , P K Mallikarjun , Morab Pratima Ningaraddi
Published: January 2025

This study explores the complexities of soybean cultivation in the North Interior Karnataka (NIK), a semi-arid plateau located in northern part of Karnataka, India, characterized by diverse soils ranging from shallow to deep black clay and red sandy loam, and by hot climate and scanty rainfall. Utilizing the FAO CROPWAT model, this work integrated a comprehensive dataset encompassing soybean phenology, climate patterns, and soil characteristics. Robust data was derived from field experiments on soybean conducted during the kharif season of 2020, spread over four distinct sowing dates. The analysis incorporated historical climate records (1991-2020) sourced from NASA and future projections (2021-2050) from the Copernicus Climate Change Service. Soil characteristics were extracted from the ICAR web portal. The study revealed the sensitivity of soybean to climate and soil variations, with black soil exhibiting higher yield reductions. The research underscores the importance of yield reduction under rainfed conditions and implementing precise irrigation scheduling for sustainable agriculture. The study also showed higher irrigation requirements on black clay soil compared to red sandy loam, projecting an increased demand for irrigation in the forthcoming decades. This underscores the urgency of adaptive agricultural practices amidst evolving climatic scenarios. The study contributes valuable insights for policymakers, researchers, and farm managers, offering tailored and sustainable strategies for soybean cultivation in the challenging agro-climatic conditions of the NIK region. As climate patterns undergo transformations, proactive and informed approaches are essential for ensuring the resilience and productivity of agriculture in semi-arid environments.
Nilotinib-Induced Thromboembolic Events: A Case Study
Authors: Kmira Zahra , Noura Ben Yahya , Monia Guermazi , Neila Fathallah , Amira Atig , Wafa Chembah , Maissa Thabet , Monia Zaier , Yosra Ben Youssef , Regaieg Haifa , Abderrahim Khelif
Published: January 2025

Nilotinib has significantly improved the treatment of chronic myeloid leukemia (CML) by offering enhanced efficacy and tolerability. However, studies have revealed a concerning link between nilotinib and an increased risk of thromboembolic events, even compared to other tyrosine kinase inhibitors (TKIs). This case report presents a forty-four-year-old male with CML treated with nilotinib, who developed dyslipidemia and multiple arterial occlusive events, including renal thrombosis and carotid artery atheroma. The potential mechanisms underlying nilotinib-induced thromboembolic events are endothelial cell dysfunction, altered lipid metabolism, and pro-inflammatory and prothrombotic effects. Identifying preexisting cardiovascular risks and implementing proactive measures may aid in reducing the occurrence of thromboembolic events in high-risk patients treated with nilotinib.
Investigating the Feasibility and Risks of Leveraging Artificial Intelligence and Open Source Intelligence to Manage Predictive Cyber Threat Models
Authors: Obioha-Val Onyinye Agatha , Lawal Temitope Ibrahim , Olaniyi Oluwaseun Oladeji , Gbadebo Michael Olayinka , Olisa Anthony Obulor
Published: January 2025

This study investigates the integration of Artificial Intelligence (AI) and Open Source Intelligence (OSINT) to enhance predictive threat modeling in cybersecurity, addressing the growing complexity and frequency of cyber threats. Integrating AI and OSINT offers transformative potential by enabling organizations to transition from reactive to proactive security measures, a critical need in the evolving digital landscape. Leveraging data from the Twitter Academic API, Common Crawl Dataset, and MITRE ATT&CK Framework, the analysis employed descriptive statistical analysis, logistic regression, and multivariate regression methodologies. Results indicate high data completeness (90.41%) and relevance (81.44%) in OSINT datasets, supporting their suitability for AI model training. Logistic regression demonstrated strong predictive capabilities, achieving 94.98% accuracy, 88.69% precision, and an AUC score of 0.91. However, risks such as data bias (-0.36 coefficient) and adversarial manipulation (-0.33 coefficient) significantly impact predictive performance. The ethical implications of this integration, including concerns about privacy, data fairness, and the potential for misuse, are highlighted as critical considerations for broader adoption. Recommendations include robust preprocessing protocols, advanced adversarial defenses, ethical guidelines, and continuous AI innovation to address these challenges. These findings underscore the potential of AI-OSINT integration while emphasizing the need for ethical and technical safeguards to enhance cybersecurity effectiveness.
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

Importance

US 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.

Objective

To 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 Participants

This 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.

Exposures

The 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 Measures

The 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.

Results

A 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 < .001] for VUMC and 0.90 [95% CI, 0.88-0.92; P < .001] for NW Medicine). However, a reduction in this difference was observed from 2018 to 2020.

Conclusions and Relevance

In 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

Importance

Informed 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.

Objective

To 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 Participants

This 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 Measures

Readability 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.

Results

The 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 < .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 < .001) and alternatives to surgery (2.7 [0.5] vs 1.4 [0.7]; P < .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 Relevance

The 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.
Intraspinal Bone Fragments Resorption in Thoracolumbar Burst Fracture
Authors: Xuan Wenbin , Gao Yucheng , Gao Zengxin
Published: October 2023

This case report describes a man in his 30s transported to a surgical ward with a 7-hour history of unintentional fall from over 20 m.
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

Purpose

Optimizing 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.

Methods

Dose 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.

Results

The 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.

Conclusion

The 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

Cerium, 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

Optically 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

Achieving 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.
High‐Efficiency Binary and Ternary Organic Solar Cells Based on Novel Nonfused‐Ring Electron Acceptors
Authors: Lu Hao , Liu Wenlong , Ran Guangliu , Li Jingyi , Li Dawei , Liu Yahui , Xu Xinjun , Zhang Wenkai , Bo Zhishan
Published: October 2023

In this study, three nonfused‐ring electron acceptors (2TT, 2TT‐C6‐F, and 2TT‐C11‐F) with the same steric hindrance groups (2,4,6‐tripropylbenzene) are designed and synthesized and the impact of electron‐withdrawing and lateral alkyl side chains on the performance of binary and ternary organic solar cells (OSCs) is explored. For the binary OSCs, 2TT‐C11‐F with IC‐2F terminal groups and lateral undecyl side chains display a red shifted absorption spectrum and suitable energy levels, and the corresponding blend film exhibits appropriate phase separation and crystallinity. Thus, binary OSCs based on 2TT‐C11‐F achieve an impressive power conversion efficiency of 13.03%, much higher than the efficiencies of those based on 2TT (9.68%) and 2TT‐C6‐F (12.11%). In the ternary OSCs, 2TT with CC terminal groups and lateral hexyl side chains exhibit complementary absorption and cascade energy levels with a host binary system (D18:BTP‐eC9‐4F). Hence, the ternary OSCs based on 2TT achieve a remarkable efficiency of 19.39%, ranking among the highest reported values. The research yields comprehensive 2TT‐series nonfused‐ring electron acceptors, demonstrating their great potential for the fabrication of high‐performance binary and ternary OSCs.
Ultra‐Fast Single‐Nucleotide‐Variation Detection Enabled by Argonaute‐Mediated Transistor Platform
Authors: Kong Derong , Zhang Shen , Guo Mingquan , Li Shenwei , Wang Qiang , Gou Jian , Wu Yungen , Chen Yiheng , Yang Yuetong , Dai Changhao , Tian Zhengan , Wee Andrew Thye Shen , Liu Yunqi , Wei Dacheng
Published: October 2023

“Test‐and‐go” single‐nucleotide variation (SNV) detection within several minutes remains challenging, especially in low‐abundance samples, since existing methods face a trade‐off between sensitivity and testing speed. Sensitive detection usually relies on complex and time‐consuming nucleic acid amplification or sequencing. Here, a graphene field‐effect transistor (GFET) platform mediated by Argonaute protein that enables rapid, sensitive, and specific SNV detection is developed. The Argonaute protein provides a nanoscale binding channel to preorganize the DNA probe, accelerating target binding and rapidly recognizing SNVs with single‐nucleotide resolution in unamplified tumor‐associated microRNA, circulating tumor DNA, virus RNA, and reverse transcribed cDNA when a mismatch occurs in the seed region. An integrated microchip simultaneously detects multiple SNVs in agreement with sequencing results within 5 min, achieving the fastest SNV detection in a “test‐and‐go” manner without the requirement of nucleic acid extraction, reverse transcription, and amplification.