Integrative transcriptomics and metabolomics reveal neuroendocrine-lipid crosstalk and adenosine signaling in broiler under heat stress by Bingxing An, Peihao Liu, Zhirui Yang, Fan Ying, Dawei Liu, Jie Wen, Guiping Zhao

“…Finally, by integrating omics data with machine learning, we uncovered key stress-relief mechanisms involving adenosine accumulation and adrenaline signaling. …”
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Feasibility and Current Applications of the Symani Surgical System: A Systematic Review by Yu Jin Jeong, MD, Amanda E. Yung, MD, Daniel Steffens, PhD, Sophie Hogan, PhD, Jonathan R. Clark, AM, MBiostats, Sydney Ch’ng, MBBS, PhD, FRACS, FACS

“…The clinical application of the Symani for lymphatic surgery (n = 7), nerve repair (n = 4), and vascular anastomosis (n = 11) have been described. Early data suggest longer anastomotic times and steep learning curves with the Symani. …”
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Academic Resilience and Motivation as Predictors of Academic Engagement Among Rural and Urban High School Students in Ghana by Mustapha Amoadu, John Elvis Hagan, Paul Obeng, Edmond Kwesi Agormedah, Medina Srem-Sai, Thomas Schack

“…Data were analysed using descriptive, Pearson correlation, and hierarchical multiple regression analyses. …”
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network by Pyae Phyo Kyaw, Pyke Tin, Masaru Aikawa, Ikuo Kobayashi, Thi Thi Zin

“…This cattle identification research aims to integrate the comprehensive cattle health monitoring system, encompassing lameness detection, body condition score evaluation, and weight estimation, all based on point cloud data and deep learning techniques.…”
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Integration of holistic education concepts in higher education to building mental health-friendly campuses: Case study from Indonesia by Minsih Minsih, Megan Lawton, Endah Sudarmilah, Fitri Puji Rahmawati, Imam Mujahid, Anggun Yunita Sari

“…The study involved 42 students, 14 lecturers, 5 administrators, and 2 counseling staff members. Data were validated through triangulation, ensuring reliability. …”
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Association between street greenery and physical activity among Chinese older adults in Beijing, China by Yiling Song, Mingzhong Zhou, Jiale Tan, Jiali Cheng, Yangyang Wang, Xiaolu Feng, Hongjun Yu

“…Street greenery was measured within a 500 m buffer around each participant’s residence using Baidu Street View images and deep learning algorithms. Data were analyzed using ANOVA, Chi-square tests, and multilevel linear regression models. …”
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AN INVESTIGATION INTO OPEN-ENDED QUESTION PREPARATION SKILLS OF TURKISH LANGUAGE TEACHERS by Osman Mert, Orhan Özen

“…Semi-structured interview was performed with teachers who prepared written exams including open-ended questions. Descriptive analysis was used to analyze the data obtained at the end of the interview. …”
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Rapid Discrimination of Aging Year of Chenpi Based on Hyperspectral Images by Cheng LIU, Lulu ZHAO, Songbin ZHOU, Yisen LIU, Tingyou WANG

“…This study proposed a rapid, non-destructive method to discern the aging year of Chenpi by integrating hyperspectral imaging with deep learning. A total of 480 Chenpi samples across four aging years were collected, and their near-infrared hyperspectral data (wavelength range: 935.61~1720.23 nm) were obtained. …”
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Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility by Jing Yang, Lingtao Yang, Ying Zhou, Fengyang Cao, Hongkun Fang, Huan Ma, Jun Ren, Chunyu Huang, Lianghui Diao, Qiyuan Li, Qionghua Chen

“…Multi-platform data were harmonized using a random-effects model. …”
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A comprehensive IoT cloud-based wind station ready for real-time measurements and artificial intelligence integration by Décio Alves, Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias

“…Internet of Things communication via Hypertext Transfer Protocol enables efficient data transmission between the Automated Weather Station and the cloud server, which processes and stores the data for future analysis. …”
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Smart wearable sensor-based model for monitoring medication adherence using sheep flock optimization algorithm-attention-based bidirectional long short-term memory (SFOA-Bi-LSTM) by Yasser Alatawi, Palanisamy Amirthalingam, Narmatha Chellamani, Manimurugan Shanmuganathan, Mostafa A. Sayed Ali, Saleh Fahad Alqifari, Vasudevan Mani, Muralikrishnan Dhanasekaran, Abdulelah Saeed Alqahtani, Ahmed Aljabri

“…The primary objective of this research is to implement sensor devices/smart wearables powered by advanced deep learning (DL) techniques to evaluate complex data patterns effectively and make accurate predictions. …”
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PENGEMBANGAN LOCAL INSTRUCTIONAL THEORY TOPIK SEGIEMPAT BERBASIS RME UNTUK MENINGKATKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS by Endah Zulfah, Ahmad Fauzan, I Made Arnawa

“…Penelitian pengembangan ini menggunakan model kuantitatif untuk mengambil data angket, dan tes akhir. Model kualitatif untuk mengambil data observasi, wawancara, dan catatan lapangan. …”
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ANALISIS PROSES BERPIKIR KOMPUTASI SISWA PADA MATERI BARISAN ARITMETIKA BERDASARKAN KECERDASAN MAJEMUK by Rosevita Melati, Toto Nusantara, Mochammad Hafiizh

“…Data analysis on the process of students' computational thinking was viewed based on their multiple intelligences, such as visual-spatial, verbal-linguistic, and logical-mathematical. …”
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Pendidikan kewarganegaraan sebagai sarana pembelajaran dalam menumbuhkan karakter bangsa pada mahasiswa di era digital by Pipit Widiatmaka, Muhammad Hendri Nuryadi, Arissander Sugiyanto

“…Document studies were used for data collection techniques in this study. The data analysis used isinductive analysis. …”
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Construction and Preliminary Validation of the Children's Academic Readiness Test to Enter Primary School in Afghanistan Country by Mohammad Naeem Rasooli, Ahmad Abedi, Mohammad Ashori

“…The results also showed that the assessment test has appropriate validity (structural validity and factor analysis) and reliability (Cronbach's alpha).The overall model evaluation indices indicate that the data fits the model. …”
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PBertKla: a protein large language model for predicting human lysine lactylation sites by Hongyan Lai, Diyu Luo, Mi Yang, Tao Zhu, Huan Yang, Xinwei Luo, Yijie Wei, Sijia Xie, Feitong Hong, Kunxian Shu, Fuying Dao, Hui Ding

“…Extensive experimental results consistently demonstrated that our model possessed robust human Kla site prediction ability, achieving an AUC (area under receiver operating characteristic curve) value of over 0.880 on the independent validation data. Feature visualization analysis further validated the effectiveness of in feature learning and representation from Kla sequences. …”
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Psychological Values in The Film Layangan Putus by Mommy Eka Nur Prasetyawati Contribution in Teaching Literature in High School by Surismiati, Supriatini, Gunawan Ismail, Mustopa, Holipah

“…Layagan Putus, classifying psychological values in Layagan Putus film, describing psychological values in Layagan Putus film, concluding the psychological values in Layagan Putus film and the implications for learning in high school. The conclusion from the analysis of the Putus Layangan Film by Mommy Eka Nur Prasetyawati is that there are several psychological values, namely Developmental psychology includes 3 scenes in episode 10B, episode 2A and episode 2B, Social psychology includes 3 scenes in episode 10B, episode 3A and episode 9B, Educational psychology includes 3 scenes in episode 10B and episode 2A, personality psychology and typology includes 1 scene in episode 4B, psychopathology includes 3 scenes in episode 6B and episode 8B, differential psychology and psychodiognostic includes 3 scenes in episode 10B, episode 9A and episode 3A, criminal psychology includes 3 scenes in episode 9B, episode 8A and episode 8A, Parapsychology includes 2 scenes in episode 9B and episode 3B, Comparative psychology includes 3 scenes in episode 4A, episode 1B and episode 10A, Adjustment psychology includes 3 scenes in episode 10B, episode 10A and 10B episodes.…”
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Enhanced Crop Leaf Area Index Estimation via Random Forest Regression: Bayesian Optimization and Feature Selection Approach by Jun Zhang, Jinpeng Cheng, Cuiping Liu, Qiang Wu, Shuping Xiong, Hao Yang, Shenglong Chang, Yuanyuan Fu, Mohan Yang, Shiyu Zhang, Guijun Yang, Xinming Ma

“…While integrating machine learning algorithms with spectral variables has improved LAI estimation over large areas, excessive input parameters can lead to data redundancy and reduced generalizability across different crop species. …”
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Automated and code-free development of a risk calculator using ChatGPT-4 for predicting diabetic retinopathy and macular edema without retinal imaging by Eun Young Choi, Joon Yul Choi, Tae Keun Yoo

“…Methods Data-driven prediction models were developed using medical history and laboratory blood test data from diabetic patients in the Korea National Health and Nutrition Examination Surveys (KNHANES). …”
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Benchmarking farm-level cotton water productivity using on-farm irrigation measurements and remotely sensed yields by Zitian Gao, Danlu Guo, Dongryeol Ryu, Andrew W. Western

“…We trained remote sensing (RS)-based machine learning (ML) models – Random Forest Regression (RFR), Gradient Boosting Regression (GBR) and Support Vector Regression (SVR) – to predict yields for over 400 cotton fields with ground-truth yield data. …”
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