PERKEMBANGAN OVARIUM TIKUS YANG DIPAPAR RADIASI SINAR X by N Nurjanah, P Widiyaningrum

“…</em><em> </em><em>This study concluded that exposure to X-ray radiation causes a decrease in ovarian weight and radiation dose of 100 mGray has caused damage to the structure of the ovarian histology Wistar rats.</em></p>…”
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Metformin exerted tumoricidal effects on colon cancer tumoroids via the regulation of autophagy pathway by Roya Shabkhizan, Çığır Biray Avci, Sanya Haiaty, Marziyeh Sadat Moslehian, Fatemeh Sadeghsoltani, Ahad Bazmani, Mahdi Mahdipour, Leila Sabour Takanlou, Maryam Sabour Takanlou, Arezoo Rezaie Nezhad Zamani, Reza Rahbarghazi

“…Abstract Background Despite the existence of promising outcomes from standard 2D culture systems, these data are not completely akin to in vivo tumor parenchyma. …”
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Research on Hybrid Architecture Neural Networks for Time Series Prediction by Fujin Zhuang, Xiao Chen, Punyaphol Horata, Khamron Sunat

“…In the model architecture design, the TCN module utilizes causal convolution structure and dilated convolution to handle long-term temporal dependencies; the MLP module performs feature transformation and nonlinear mapping through a two-layer network; and the attention mechanism identifies important features at key time steps. …”
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A clinical treatment recommender system optimizing adjuvant chemoradiotherapy benefit in Chinese women with breast cancer using interpretable causal Bayesian networks by Ruoyu Wang, Simiao Tian, Zhe Wang, Yiou Wang, Dianlong Zhang, Jianing Jiang, Yongqiang Yao, Hongshen Chen, Hong Fang, Mingqian Cao

“…After the whole cohort was randomly divided into 70% development and 30% validation cohorts, a causal BN (CBN) model was built by aggregating extensive expert knowledge and data-driven approaches to arrive at a consensus structure for causal inference, and subsequently validated its ability to predict both overall survival (OS) and recurrence free survival (RFS) by using the area under the curve (AUC), Brier score (BS), accuracy and predicted/observation ratio. …”
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Educational Needs in Geriatric Medicine Among Health Care Professionals and Medical Students in COST Action 21122 PROGRAMMING: Mixed-Methods Survey Protocol by Giulia Ogliari, Tahir Masud, Anna Marie Herghelegiu, Tajana Pavic, Anne Wissendorff Ekdahl, Karolina Piotrowicz, Sofia Duque, Athanase Benetos, Nenad Bogdanovic, Sylvie Bonin-Guillaume, Rachael Frost, Meltem Koca, Anastassia Kossioni, Evrydiki Kravvariti, Nicolas Martínez-Velilla, William McKeown, Regina Roller-Wirnsberger, Sumru Savas, Michael Vassallo, Tamar Yellon, Mirko Petrovic, Marina Kotsani

“…ObjectiveThis paper describes the aim, development, structure, content, and dissemination of this survey. …”
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The Effect of Landscape Pattern on Urban Temperature Changes in Hamadan by Marziye Shojaei, Kamran Shayesteh, Behnaz Attaeian

“…Therefore, understanding the spatial distribution of landscape structure in complex patchwork mosaics has become one of the major issues in landscape pattern studies. …”
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Simulating Image Coaddition with the Nancy Grace Roman Space Telescope. III. Software Improvements and New Linear Algebra Strategies by Kaili Cao, Christopher M. Hirata, Katherine Laliotis, Masaya Yamamoto, Emily Macbeth, M. A. Troxel

“…This paper presents the refactored I mcom software, featuring full object-oriented programming, improved data structures, and alternative linear algebra strategies for determining coaddition weights. …”
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Use of Rapid Qualitative Analysis to Support Collaborative Synergy Within a Community Coalition for Health Equity in Detroit by Hayley S. Thompson, Ten-Niah Kinney, Carrie Leach, Alexandra Sass, Ariel Washington, Rhonda Dailey, Elizabeth Towner, Alyssa Beavers, Rodlescia Sneed, Karen Solomon Edwards, Ijeoma Nnodim Opara, Arthur Hampton, Zachary Cichon, Afsana Rinky, Joneigh Khaldun

“…Discussion: This study highlights participants’ recognition of both systemic factors and personal agency in achieving health equity, indicating their nuanced understanding of the complex interplay between social structures and individual health, which is crucial for community-driven multilevel health interventions. …”
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Prediction of dam deformation using adaptive noise CEEMDAN and BiGRU time series modeling by WANG Zixuan, OU Bin, CHEN Dehui, YANG Shiyong, ZHAO Dingzhu, FU Shuyan

“…【Background and Objective】Accurate prediction of dam deformation is crucial for ensuring the safety of dam structures in engineering monitoring. Dam deformation is influenced by multiple factors, including water pressure, temperature, and material aging, which often exhibit nonlinear and dynamic relationships. …”
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Differences in care delivery for children and adolescents with cancer in Europe – Results from the SIOPE OCEAN project by Maria Otth, Teresa de Rojas, Kerstin K. Rauwolf, Miguel Martins, Uta Dirksen, Delphine Heenen, Lejla Kameric, Pamela Kearns, Ruth Ladenstein, Cormac Owens, Caroline Queiroz, Richard Sullivan, Carmelo Rizzari, Gilles Vassal

“…Highly specialized treatment modalities and care structures are not available in every country. Public health insurances reimburse standard of care treatments in most countries (35/37); however, they do not cover all costs and additional funding is reported to be needed in up to one fifth of countries. …”
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Development and validation of AI-based automatic segmentation and measurement of thymus on chest CT scans by Yusheng Guo, Bingxin Gong, Guowei Jiang, Wang Du, Shuangfeng Dai, Qi Wan, Dongyong Zhu, Chanyuan Liu, Yi Li, Qing Sun, Qianqian Fan, Bo Liang, Lian Yang, Chuansheng Zheng

“…Abstract Background Due to the complex anatomical structure and dynamic involution process of the thymus, segmentation and evaluation of the thymus in medical imaging present significant challenges. …”
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Dynamics and Trends in the Incidence of Rabies in the Russian Federation and some Adjacent Regions of Eurasia in 2013–2021 by O. N. Zaykova, M. A. Losich, E. V. Rusakova, O. A. Verkhovsky, A. A. Shabeykin, T. V. Grebennikova

“…The materials for the study were data from epidemiological surveillance of rabies in the RF and data from veterinary statistics for 2013–2021. …”
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Efficiency and safety of peripheral regional anesthesia application in urgent traumatology by O. A. Lovkin, V. I. Pertsov, K. I. Lurie

“…In Ukraine, more than 4.5 million people sustain injuries of varying severity annually, and damage to extremities constitutes 60–65 % in the structure of traumatism. Patients with traumatic limb injuries require effective anesthesia / analgesia at an early stage. …”
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Global, regional, and national burden of maternal disorders, 1990–2021: a systematic analysis from the global burden of disease study 2021 by Jie Huang, Yuanyuan Man, Zan Shi, Xiaojie Fu, Wenhao Shi, Xiaoling Liang

“…Methods This population-based multinational investigation employed systematically collected epidemiological evidence from the Global Burden of Diseases (GBD), Injuries, and Risk Factors Study 2021, with data acquisition was conducted through the standardized Global Health Data Exchange platform ( https://vizhub.healthdata.org/gbd-results/.GBD Results Tool; data retrieval date: November 11, 2024). …”
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China’s naturally regenerated forests currently have greater aboveground carbon accumulation rates than newly planted forests by Kai Cheng, Yixuan Zhang, Haitao Yang, Yu Ren, Tianyu Xiang, Yuling Chen, Zekun Yang, Mengxi Chen, Jiachen Xu, Guoran Huang, Guangcai Xu, Shengli Tao, Zhen Yu, Qinghua Guo

“…Consequently, our findings emphasize optimizing forest structure in managing China’s planted forests to enhance carbon storage.…”
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A comprehensive atlas of the bonobo gut bacteriome and its associated host and exposome factors by Jonas R.R. Torfs, Mélodie Kreyer, Stijn Wittouck, Sarah Ahannach, Barbara Fruth, Sarah Lebeer, Marcel Eens, Nicky Staes

“…Within the controlled zoo-housed cohort, factors such as age, transit time, diet, early life adversity, and medication use influence gut bacterial structure. Notably, social contact emerges as a stronger predictor of bacteriome similarity than genetics or other exposome factors, while maternal effects persist even in non-cohabiting mother-offspring dyads. …”
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Recent Advances in Understanding the Molecular Mechanisms of SGLT2 Inhibitors in Atrial Remodeling by Ioan-Alexandru Minciună, Raluca Tomoaia, Dragos Mihăilă, Gabriel Cismaru, Mihai Puiu, Radu Roșu, Gelu Simu, Florina Frîngu, Diana Andrada Irimie, Bogdan Caloian, Dumitru Zdrenghea, Dana Pop

“…Atrial cardiomyopathy and remodeling play pivotal roles in the development of atrial fibrillation (AF) and heart failure (HF), involving complex changes in atrial structure and function. These changes facilitate the progression of AF and HF by creating a dynamic interplay between mechanical stress and electrical disturbances in the heart. …”
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A Detailed Look at a Trio of Changing-look Quasars: Spectral Energy Distributions and the Dust Extinction Test by Laura Duffy, Michael Eracleous, Jessie C. Runnoe, John J. Ruan, Scott F. Anderson, Sabrina Dimassimo, Paul Green, Stephanie LaMassa

“…We also find that the low-state spectral energy distributions of all three quasars are reminiscent of those of low-luminosity active galactic nuclei, which suggests that the transition may result from a change in accretion flow structure caused by a reduced Eddington ratio.…”
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Multinational validation of the Arabic version of the Artificial Intelligence Literacy Scale (AILS) in university students by Eva Hobeika, Rabih Hallit, Diana Malaeb, Fouad Sakr, Mariam Dabbous, Nisma Merdad, Tabassum Rashid, Rizwana Amin, Kamel Jebreen, Btissame Zarrouq, Amthal Alhuwailah, Hanaa Ahmed Mohamed Shuwiekh, Souheil Hallit, Sahar Obeid, Feten Fekih-Romdhane

“…Lebanon, Saudi Arabia, Morocco and Palestine).Methods Online cross-sectional data collection took place in July 2023 among university students (N = 1849, mean age of 21.37 ± 3.84 years, 74.3% females).Results The Arabic version replicated the original four-factor structure of the AILS. …”
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Detecting the Spatiotemporal Relationship of Vegetation Changes with Climatic Elements in Mazandaran Province by Mohadeseh Ghanbari Motlagh, Behzad Amraei

“…One of the most important of these indices is EVI, which has a high sensitivity to structural variables of vegetation. On the basis, data from the MODIS satellite data and products by making time series of EVI were applied in the current study to determine the dynamics of this index relative to two main climate variables (land surface temperature and rainfall) over a period of time. 2-Materials and Methods In this study, spatiotemporal analysis of GIS was used to model the relationship between vegetation dynamics based on EVI from MODIS satellite. …”
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