Maternal epigenetic index links early neglect to later neglectful care and other psychopathological, cognitive, and bonding effects by Inmaculada León, Daylín Góngora, María José Rodrigo, Silvia Herrero-Roldán, Maykel López Rodríguez, Colter Mitchell, Jonah Fisher, Yasser Iturria-Medina

“…Differential methylation between groups was utilized to derive the EMNs adjusted for education level, age, experimental variables, and blood cell types in saliva samples. …”
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Bladder drainage methods for acute urinary retention due to benign prostatic hyperplasia: patient-preference analysis by A. I. Volnukhin, D. Yu. Pushkar, V. A. Malkhasyan

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Evaluation of Support Types of Volcanic Clastic Sand and Gravels Based on Electrical Imaging Logging by ZHAO Xiaoqing, WANG Xiangyu, ZHANG Zhiguo, ZHANG Weifeng, CHEN Haifeng

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Occupational pesticide exposure and cognitive impairment among adult farmers in northern Thailand by Nichapa Phitsadang, Warangkana Naksen, Parichat Ong-Artborirak

“…Pesticide exposure score was calculated using an algorithm that considered personal protective equipment (PPE) scores and exposure intensity scores, as well as lifetime application days. …”
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The Philosophy of Semar as an Ethical Framework for the Use of Artificial Intelligence by Mohamad Khusnial Muhtar, Naufal Robbiqis Dwi

“…The Waspada principle highlights the&nbsp;</span><span style="font-size: 1rem;">importance of risk mitigation, addressing challenges such as algorithmic bias, privacy concerns, and&nbsp;</span><span style="font-size: 1rem;">unequal access to technology. 2) The integration of these ethical values presents an opportunity for&nbsp;</span><span style="font-size: 1rem;">strategic collaboration among developers, users, and policymakers to craft regulations that harmonize&nbsp;</span><span style="font-size: 1rem;">global standards with local wisdom, reinforcing the importance of culture-based ethics education. 3) Key&nbsp;</span><span style="font-size: 1rem;">challenges in implementation include limited cultural awareness in AI ethics discourse, resource&nbsp;</span><span style="font-size: 1rem;">constraints, and difficulties in aligning local ethical values with global regulatory frameworks. …”
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DMC-LIBSAS: A Laser-Induced Breakdown Spectroscopy Analysis System with Double-Multi Convolutional Neural Network for Accurate Traceability of Chinese Medicinal Materials by Tianhe Huang, Wenhao Bi, Yuxiao Song, Xiaolin Yu, Le Wang, Jing Sun, Chenyu Jiang

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Non-Destructive Detection of Pesticide-Treated Baby Leaf Lettuce During Production and Post-Harvest Storage Using Visible and Near-Infrared Spectroscopy by Dimitrios S. Kasampalis, Pavlos I. Tsouvaltzis, Anastasios S. Siomos

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Grid connected improved sepic converter with intelligent mppt strategy for energy storage system in railway applications by Suresh vendoti, A. Hema Sekhar, A. V. Bharadwaja, Bapayya Naidu Kommula, Rayala Sateesh, S. Prabhakar, M. Arunkumar, Cui Yaping

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A Systematic Review and Meta-Analysis of Implicit Stigma Toward People with Mental Illness Among Different Groups: Measurement, Extent, and Correlates by Ren Y, Wang S, Fu X, Shi X

“…Twenty-eight studies calculated the implicit effect using an improved algorithm, while thirty-eight examined the correlations between implicit and explicit measures. …”
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Enhanced Kidney Stone Detection and Classification Using SVM and LBP Features by Hawkar K. Hama, Hamsa D. Majeed, Goran Saman Nariman

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Mining hypertension predictors using decision tree: Baseline data of Kharameh cohort study by abbas Rezaianzadeh, Samane Nematolahi, maryam jalali, Shayan Rezaeianzadeh, Masoumeh Ghoddusi Johari, Seyed Vahid Hosseini

“… Background: Hypertension is a serious chronic disease and an important risk factor for many health problems. this study aimed to investigate the factors associated with hypertension using a decision-tree algorithm. Methods: this cross-sectional study was conducted in Kharameh city between 2014-2017 through census. …”
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Tactics of treatment of varicose disease, complicated by thrombosis, using miniinvasive methods by V. V. Boyko, Е. G. Cherkasheninov, V. А. Prasol, Yu. V. V. Ivanova, S. А. Аndreyeshchev, I. S. Pulyaeva

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Lyme Disease Biobank: 10 years of 3 month follow-up visits from 2014 to 2023 by Elizabeth J. Horn, George Dempsey, Anna M. Schotthoefer, Matthew McArdle, Allison F. Weber, Cathy De Luca, Bobbi S. Pritt, Elizabeth L. Maloney

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Spatially optimized allocation of water and land resources based on multi-dimensional coupling of water quantity, quality, efficiency, carbon, food, and ecology by Yingbin Wang, Haiqing Wang, Jiaxin Sun, Peng Qi, Wenguang Zhang, Guangxin Zhang

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A selective CutMix approach improves generalizability of deep learning-based grading and risk assessment of prostate cancer by Sushant Patkar, Stephanie Harmon, Isabell Sesterhenn, Rosina Lis, Maria Merino, Denise Young, G. Thomas Brown, Kimberly M. Greenfield, John D. McGeeney, Sally Elsamanoudi, Shyh-Han Tan, Cara Schafer, Jiji Jiang, Gyorgy Petrovics, Albert Dobi, Francisco J. Rentas, Peter A. Pinto, Gregory T. Chesnut, Peter Choyke, Baris Turkbey, Joel T. Moncur

“…Training and validation of algorithms for cancer detection and grading were completed with three large datasets containing a total of 580 whole-mount prostate slides from 191 RP patients at two centers and 6218 annotated needle biopsy slides from the publicly available Prostate Cancer Grading Assessment dataset. …”
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Modeling the determinants of attrition in a two-stage epilepsy prevalence survey in Nairobi using machine learning by Daniel M. Mwanga, Isaac C. Kipchirchir, George O. Muhua, Charles R. Newton, Damazo T. Kadengye, Abankwah Junior, Albert Akpalu, Arjune Sen, Bruno Mmbando, Charles R. Newton, Cynthia Sottie, Dan Bhwana, Daniel Mtai Mwanga, Damazo T. Kadengye, Daniel Nana Yaw, David McDaid, Dorcas Muli, Emmanuel Darkwa, Frederick Murunga Wekesah, Gershim Asiki, Gergana Manolova, Guillaume Pages, Helen Cross, Henrika Kimambo, Isolide S. Massawe, Josemir W. Sander, Mary Bitta, Mercy Atieno, Neerja Chowdhary, Patrick Adjei, Peter O. Otieno, Ryan Wagner, Richard Walker, Sabina Asiamah, Samuel Iddi, Simone Grassi, Sloan Mahone, Sonia Vallentin, Stella Waruingi, Symon Kariuki, Tarun Dua, Thomas Kwasa, Timothy Denison, Tony Godi, Vivian Mushi, William Matuja

“…These findings will inform development of a web-based algorithm to predict attrition risk and aid in targeted follow-up efforts in similar studies.…”
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Network toxicology and molecular docking reveal key mechanisms of domoic acid neurotoxicity with bio-layer interferometry validation by Dongyao Wang, Yiping Liu, Shitao Chen, Diya Lv, Yuxiao Tang, Yan Liu, Wen Yang, Hui Shen, Lianghua Wang, Feng Lu

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Artificial intelligence in project management: A bibliometric analysis by Nurkhat Ibadildin, Zhaxat Kenzhin, Gaukhar Yeshenkulova, Rymkul Ismailova, Assel Nurguzhina, Samalgul Nassanbekova, Aiman Kadyrova

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Clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and the efficacy of treating lower urinary tract symptoms by V. L. Medvedev, M. E. Efremov, P. V. Shornikov, D. S. Isayeva

“…Indicators of IPSS, Q max and PVR after 3 months of therapy allow predicting the effectiveness of therapy, or suspect the need for surgical treatment.…”
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Lightweight YOLOv8s-Based Strawberry Plug Seedling Grading Detection and Localization via Channel Pruning by CHEN Junlin, ZHAO Peng, CAO Xianlin, NING Jifeng, YANG Shuqin

“…Furthermore, a two-stage seedling-hole matching algorithm was introduced based on the pruned YOLOv8s model. …”
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