Mindfulness-based stress reduction intervention during pregnancy changes maternal brain by Yvan Gomez, Ayako Nakaki, Allegra Conti, Sara Castro-Barquero, Benedetta Gambosi, Irene Casas, Mariona Genero, Lina Youssef, Leticia Benitez, Noelia Encabo, Rosa Casas, Andrés Martín-Asuero, Teresa Oller-Guzmán, Ivette Morilla, Anabel Martínez-Àran, Nuria Bargallo, Nicola Toschi, Ramon Estruch, Eduard Vieta, Fàtima Crispi, Eduard Gratacos, Francesca Crovetto

Subjects: “…Mindfulness-based stress reduction…”
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Machine Learning-Based Prediction of Fatigue Fracture Locations in 7075-T651 Aluminum Alloy Friction Stir Welded Joints by Guangming Mi, Guoqin Sun, Shuai Yang, Xiaodong Liu, Shujun Chen, Wei Kang

“…In this study, we investigate fatigue fracture location prediction in 7075-T651 aluminum alloy FSW joints by applying four machine learning methods—decision tree, logistic regression, a three-layer back-propagation artificial neural network (BP ANN), and a novel Quadratic Classification Neural Network (QCNN)—using maximum stress, stress amplitude, and stress ratio as input features. …”
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Predicting high anger intensity using ecological momentary assessment and wearable-derived physiological data in a trauma-affected sample by Olivia Metcalf, Karen E. Lamb, David Forbes, Meaghan L. O’Donnell, Tianchen Qian, Tracey Varker, Sean Cowlishaw, Sophie Zaloumis

“…However, no prediction models have been built in trauma-exposed populations that leverage real-world data.Objective: This project aimed to determine if wearable-derived physiological data can predict anger intensity in trauma-exposed adults.Method: Heart rate variability (i.e. a commercial wearable stress score) was combined with ecological momentary assessment (EMA) data collected over 10 days (n = 84). …”
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Design of an Optimized Feature Driven Severity Stage Classifier for Parkinson’s Disease Prediction Using Deep Learning by K. Shyamala, T. M. Navamani

“…We proposed a Parkinson’s Speech Stage-Net model (PSS-Net) for the prediction of the severity of PD that includes Isolation Forest-based outlier detection and removal, KMeansSMOTE data balancing, and Optimized Dimensionality Reduction techniques. …”
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Overpressure Evolution Simulation and Fracture Hydrocarbon Expulsion Prediction of Source Rocks in Bodong Sag, Bohai Bay Basin, China by Haifeng Yang, Lei Chen, Yanfei Gao, Tao Jiang, Changyu Fan

“…The prediction of hydrocarbon expulsion by overpressure rupture (HEOR) is still a difficult problem in the study of primary oil and gas migration. …”
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Assessment of head dynamics using a flexible self-powered sensor and machine learning, capable of predicting probability of brain injury by Gerardo L. Morales-Torres, Ian González-Afanador, Luis A. Colón-Santiago, Nelson Sepúlveda

“…This work presents the application of a flexible, self-powered sensor designed to predict angular velocity and acceleration during head kinematics associated with concussions. …”
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AGE CONSTRAINTS AND METALLOGENIC PREDICTION OF GOLD DEPOSITS IN THE AKZHAL-BOKO-ASHALIN ORE ZONE (ALTAI ACCRETION-COLLISION SYSTEM) by Yu. A. Kalinin, K. R. Kovalev, A. N. Serdyukov, A. S. Gladkov, V. P. Sukhorukov, E. A. Naumov, A. V. Travin, D. V. Semenova, E. V. Serebryakov, E. D. Greku

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Human thermal comfort indicator in high-temperature environments in deep mining by Naiping Li, Hongmei Shu, Daoyuan Sun

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Morphometric and thermo-physiological diversity in two chicken genotypes kept by rural farmers under tropical conditions by Elijah Akumbugu Faith, Danlami Moses Ogah, Abdulmojeed Yakubu, Oladeji Bamidele

“…Female birds appeared more stressed thermally while Nasarawa South birds exhibited higher thermal stress. …”
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Development of a Fault-Tolerant Permanent Magnet Synchronous Motor Using a Machine-Learning Algorithm for a Predictive Maintenance Elevator by Vasileios I. Vlachou, Theoklitos S. Karakatsanis

“…The model achieved a classification accuracy of 94%, demonstrating high precision in predictive maintenance capabilities. The results confirm that integrating a fault-tolerant PMSM design with real-time data analytics offers a reliable solution for early fault detection, minimizing downtime and enhancing elevator safety.…”
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Analysis of Stress Reduction following Yoga Exercise among Undergraduate Students of Physical Therapy by Soniha Aslam, Noman Ahmed, Javed Ali Memon

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Classification and Regression Tree Analysis in Adult Hemophagocytic Syndrome: Identifying Acute Heart Failure Predictors in ICU Patients by Kilincer Bozgul SM, Kurtulmus IA, Yargucu Zihni F, Akad Soyer N, Yagmur B, Gunes A, Koymen G, Bozkurt D

“…This study aimed to identify factors that predict heart failure in HPS patients to help doctors diagnose and treat it early. …”
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Stress control in trench field-plate power MOSFETs and its impact on on-resistance reduction by Hiroaki Kato, Shin-ichi Nishizawa, Wataru Saito

“…This disrupts the stress balance, leading to significant wafer warpage, which poses a critical challenge in device integration. …”
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Effectiveness of Mindfulness-based Stress Reduction Therapy on Anxiety Sensitivity and Rumination in Individuals With Migraine by Akram Hosseini, Sasan Bavi

“…Objectives: This study aimed to assess the effectiveness of an 8-week Mindfulness-Based Stress Reduction (MBSR) therapy program in reducing anxiety sensitivity (across physical, cognitive, and social concern subscales) and rumination among individuals diagnosed with migraine with comorbid anxiety. …”
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The Role of Artificial Intelligence in Personalized Medicine: A Computer Science Perspective by Raul Mihai RADULESCU

“…It looks at how healthcare AI techniques like deep learning, natural language processing, or even predictive analytics can revolutionize the industry by changing how treatments are administered to be based on the individual profiles of each patient. …”
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deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning by Jingjing Zhai, Yuzhou Zhang, Chujun Zhang, Xiaotong Yin, Minggui Song, Chenglong Tang, Pengjun Ding, Zenglin Li, Chuang Ma

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Accuracy of the Pediatric Emotional Distress Scale – Early Screener to predict the risk for developing PTSD in young children after accidental injury by Irma Hein, Maj Gigengack, Cedric Sachser, Ramón Lindauer

“…Background: Early identification of posttraumatic stress disorder (PTSD) in children is important to prevent chronic symptoms and long-term negative consequences. …”
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Prediction of mechanical properties of steel fibre-reinforced concrete under elevated temperature using artificial neural network techniques (ann) by G. Premkumar, S. Senthil Selvan

“…While existing literature mainly emphasizes the prediction of compressive strength, limited efforts have been made to predict other key mechanical properties under thermal stress. …”
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Global, regional, and national trends in the epidemiology of aortic aneurysms among women of childbearing age, 1990–2021, with predictions through 2036 by Wei Wang, Yong Shi, Xinyao Li, Tianxiang Gu, Enyi Shi

“…An age-period-cohort model assessed trends, period, and cohort effects, while the Bayesian age-period-cohort model predicted the disease burden through 2036. Results In 2021, AA was associated with 2,552 (95% UI: 2,273 to 2,827) mortality and 86,466 (95% UI: 72,510 to 115,049) DALYs counts worldwide among women of childbearing age. …”
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Prediction of joint deformity after MIPPO with double reverse traction repositor based on Hounsfield units derived from CT scans by Guimiao Li, Kejia Shang, Shengnan Zhang, Zhongzheng Wang, Yanjiang Yang, Chunxu Fu, Chen Feng, Di Zhang, Yingze Zhang

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