Detection of Remaining Feed in the Feed Troughs of Flat-Fed Meat Ducks Based on the RGB-D Sensor and YOLO V8 by Xueliang Tan, Junjie Yuan, Shijia Ying, Jizhang Wang

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Mammography-based artificial intelligence for breast cancer detection, diagnosis, and BI-RADS categorization using multi-view and multi-level convolutional neural networks by Hongna Tan, Qingxia Wu, Yaping Wu, Bingjie Zheng, Bo Wang, Yan Chen, Lijuan Du, Jing Zhou, Fangfang Fu, Huihui Guo, Cong Fu, Lun Ma, Pei Dong, Zhong Xue, Dinggang Shen, Meiyun Wang

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A Method for Identifying Landslide-Prone Areas Using Multiple Factors and Adaptive Probability Thresholds: A Case Study in Northern Tongren, Longwu River Basin, Qinghai Province by Jiawen Bao, Xiaojun Luo, Yueling Shi, Mingyue Hou, Jichao Lv, Guoxiang Liu

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Random forest-based model for the recurrence prediction of borderline ovarian tumor: clinical development and validation by Liheng Yan, Qiulin Ye, Baole Shi, Juanjuan Liu, Yuexin Hu, Ouxuan Liu, Xiao Li, Bei Lin, Yue Qi

“…Abstract Purpose This study aims to develop an effective machine learning (ML)-based predictive model for the recurrence of borderline ovarian tumor (BOT), and provide the guidelines of accurate clinical diagnosis and precise treatment for patients. …”
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Machine learning based association between inflammation indicators (NLR, PLR, NPAR, SII, SIRI, and AISI) and all-cause mortality in arthritis patients with hypertension: NHANES 199... by Kuijie Zhang, Xiaodong Ma, Xicheng Zhou, Gang Qiu, Chunjuan Zhang

“…Key markers were selected using XGBoost and LASSO regression machine learning methods, and a nomogram prognostic model was constructed and evaluated through calibration curves and decision curve analysis (DCA).ResultsThe study included 4,058 AR patients with HTN, with 1,064 deaths over a median 89-month follow-up. …”
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IECAU-Net: A Wood Defects Image Segmentation Network Based on Improved Attention U-Net and Attention Mechanism by Yingda Dong, Chunguang He, Xiaoyang Xiang, Yuhan Cui, Yongkang Kang, Anning Ding, Huaqiong Duo, Ximing Wang

“…Due to the heavy workload, low efficiency, and low accuracy of manual inspection, traditional machine learning methods have strong specialization, complex methods, and high costs. …”
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Estimation of unconfirmed COVID-19 cases from a cross-sectional survey of >10 000 households and a symptom-based machine learning model in Gilgit-Baltistan, Pakistan by Monica Taljaard, Zulfiqar A Bhutta, Lisa G Pell, Diego G Bassani, Sajid Soofi, Shaun K Morris, Daniel S Farrar, Muhammad Karim, Lauren Erdman, Yasin Muhammad, Sher Hafiz Khan, Zachary Tanner, Imran Ahmed Chauhadry, Falak Madhani, Shariq Paracha, Masood Ali Khan, Rachel F Spitzer, Sarah M Abu Fadaleh

“…We developed a symptom-based machine learning model to differentiate confirmed/probable infections from those with negative tests. …”
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Attention-Driven Emotion Recognition in EEG: A Transformer-Based Approach With Cross-Dataset Fine-Tuning by Ghulam Ghous, Shaheryar Najam, Mohammed Alshehri, Abdulmonem Alshahrani, Yahya AlQahtani, Ahmad Jalal, Hui Liu

“…The proposed methodology consists of two phases: Attention Enhanced Base Model Development (AE-BMD) and Cross-Dataset Fine Tuning Adaptation (CD-FTA). …”
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Developing the IDCaRe team: an integrated and culturally-affirming approach to improving health engagement for HIV-positive veterans by James Michael Brennan, Madison B. Bailey, William Hua

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Sentence type identification-based product review sentiment analysis using BeDi-DC and Log-Squish CNN by Neetesh Kumar Nema, Vivek Shukla, Rohit Miri, Praveen Chouksey, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah

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YOLOv8-Based Estimation of Estrus in Sows Through Reproductive Organ Swelling Analysis Using a Single Camera by Iyad Almadani, Mohammed Abuhussein, Aaron L. Robinson

“…Lastly, we present a classification method for distinguishing between estrus and non-estrus states in subjects based on the pixel width, pixel length, and perimeter measurements. …”
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ML Based Social Media Data Emotion Analyzer and Sentiment Classifier with Enriched Preprocessor by Jayamalini Kothandan, Ponnavaikko Murugesan

“…This paper also explains various enriched methods used in pre-processing techniques. This paper also focuses on various Machine Learning Techniques and steps to use the text classifier and different types of language models.…”
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Toilet Training Readiness Scale for 0–5-Year-Old Children: A New Measurement Tool Based on a Child-Centred Approach by Adnan Barutçu, Burak Mete, Hakan Demirhindi, Saliha Barutçu, Aliye Kıdı, Nurdan Evliyaoğlu

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A 3D Model-Based Framework for Real-Time Emergency Evacuation Using GIS and IoT Devices by Noopur Tyagi, Jaiteg Singh, Saravjeet Singh, Sukhjit Singh Sehra

“…In the second phase, the 3D model and an FL-based recurrent neural network (RNN) technique were utilized to achieve real-time indoor positioning. …”
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Computationally unmasking each fatty acyl C=C position in complex lipids by routine LC-MS/MS lipidomics by Leonida M. Lamp, Gosia M. Murawska, Joseph P. Argus, Aaron M. Armando, Radu A. Talmazan, Marlene Pühringer, Evelyn Rampler, Oswald Quehenberger, Edward A. Dennis, Jürgen Hartler

“…Accordingly, C=C position information is now readily accessible for large-scale high-throughput studies with any MS/MS instrumentation and ion activation method.…”
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Escape Room Activity to Teach Head and Neck Anatomy by George Holan, Rijul Asri, Abhishek Yadav, Christin Traba, Sophia Chen, Jeremy J. Grachan

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The Development and Implementation of a Simulated Patient Resource for Teaching and Assessment in Optometry Low Vision Rehabilitation by Karas M, Lucas N, Ryan B

“…However, in the absence of real patients, the use of simulated patients is a viable option for teaching and assessing low vision practice, provided the resource is carefully planned and implemented.We feel that more research is needed to explore how this method could be used effectively and more widely in teaching and assessing other optometric skills.Keywords: simulated patients, low vision, low vision rehabilitation, optometry, post graduate teaching, simulation-based learning…”
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Rapid Path Planning Algorithm for Percutaneous Rigid Needle Biopsy Based on Optical Illumination Principles by Jian Liu, Shuai Kang, Juan Ren, Dongxia Zhang, Bing Niu, Kai Xu

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Virtual reality for education on infection prevention and control: the impact on medical students’ knowledge, attitudes and practices by Bente Schippers, Olga Coenen, Franka Luk, Mark Graner, Frans van Hoek, Nike Stikkelbroeck, Machteld Dronkers, Edmée Bowles, Alma Tostmann

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The impact of education on subjective well-being: a meta-analysis based on 59 empirical studies by Xuemin Dong, Zhe Xing, Haixin Song, Dexin Hu

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