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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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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Developing positive design with innovative thinking framework: A design pedagogical approach to enhance subjective well-being by Wenjia Li, Xinni Zhang, Han Gao, Jingjing Gui, Xiaoyu Yang, Jidong Yang

“…In this exploratory study on design teaching, we build a novel teaching model by drawing on the connection between students' self-transcendent knowledge and formal knowledge in design thinking. Based on the Design for Happiness framework (DfH), this study uses Positive Emotional Granularity cards (PEG) to stimulate students to identify and categorize various positive emotions. …”
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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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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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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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A Transformer Encoder Approach for Localization Reconstruction During GPS Outages from an IMU and GPS-Based Sensor by Kévin Cédric Guyard, Jonathan Bertolaccini, Stéphane Montavon, Michel Deriaz

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Real-Time Collision Warning System for Over-Height Ships at Bridges Based on Spatial Transformation by Siyang Gu, Jian Zhang

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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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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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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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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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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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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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SASBLS: An Advanced Model for Sleep Apnea Detection Based on Single-Channel SpO2 by Yichong She, Di Zhang, Jinbo Sun, Xuejuan Yang, Xiao Zeng, Wei Qin

“…(1) Background: Sleep Apnea Syndrome (SAS) poses a serious threat to human health. Existing SpO2-based automatic SAS detection models have a relatively low accuracy in detecting positive samples because they overlook the global information from the Apnea–Hypopnea Index (AHI). (2) Methods: To address this problem, we proposed a multi-task model for SAS detection and AHI prediction based on single-channel SpO2. …”
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Measurement-Based Neural Network Technique for Modeling the Low-Frequency Electric Field Radiated Behavior of Satellite Units by Anna N. Lampou, Anargyros T. Baklezos, Konstantinos K. Spyridakis, Dimitrios A. Rigas-Papakonstantinou, Ioannis O. Vardiambasis, Christos D. Nikolopoulos

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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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Myocardial Iron Overload Assessment with Automatic Segmentation of Cardiac MR Images based on Deep Neural Networks by Mohamad Amin Bakhshali, Maryam Gholizadeh, Parvaneh Layegh, Saeid Eslami

“…In addition, our results indicate that the proposed method outperformed in assessing LV iron overload over other deep learning based methods in terms of negative predictive value, positive predictive value, and Jaccard. …”
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An EEG-based framework for automated discrimination of conversion to Alzheimer’s disease in patients with amnestic mild cognitive impairment: an 18-month longitudinal study by Yingfeng Ge, Jianan Yin, Caie Chen, Shuo Yang, Yuduan Han, Chonglong Ding, Jiaming Zheng, Yifan Zheng, Jinxin Zhang

“…Spectral, nonlinear, and functional connectivity features were extracted from the EEG data, subjected to feature selection and dimensionality reduction, and then fed into various machine learning classifiers for discrimination. The performance of each model was assessed using 10-fold cross-validation and evaluated in terms of accuracy (ACC), area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), and F1-score.ResultsCompared to SMCI patients, PMCI patients exhibit a trend of “high to low” frequency shift, decreased complexity, and a disconnection phenomenon in EEG signals. …”
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