Attachment-based compassion therapy and adapted mindfulness-based stress reduction for the treatment of depressive, anxious and adjustment disorders in mental health settings: a randomised controlled clinical trial protocol by Jesus Montero-Marin, Carlos Collado-Navarro, Mayte Navarro-Gil, Alba Lopez-Montoyo, Marcelo Demarzo, Paola Herrera-Mercadal, Alberto Barcelo-Soler, Javier Garcia-Campayo

“…In this randomised controlled trial, we hypothesise that the provision of attachment-based compassion therapy (ABCT), which is a compassion-based protocol, will be more effective than mindfulness-based stress reduction (MBSR), which is a conventional MBI programme, for the treatment of depressive, anxious and adaptive symptoms in patients in mental health settings.Methods and analysis Approximately 90 patients suffering from depressive, anxious or adjustment disorders recruited from Spanish mental health settings will be randomised to receive 8 weekly 2 hours group sessions of ABCT, 8 weekly 2.5 hours group sessions of adapted MBSR (with no full-day silent retreat) or treatment as usual (TAU), with a 1:1:1 allocation rate. …”
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Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle by T. Paulraj, Yeddula Pedda Obulesu

“…With SC support, the EUDC cycle exhibits a 21.3% reduction in battery peak current, 18.1% reduction in peak power demand, and 5.75% lower battery energy consumption. …”
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Microdamage caused by fatigue loading in human cancellous bone: relationship to reductions in bone biomechanical performance. by Floor M Lambers, Amanda R Bouman, Clare M Rimnac, Christopher J Hernandez

“…The relationship between reductions in Young's modulus and proportion of fatigue life was nonlinear and suggests that most microdamage generation occurs late in fatigue loading, during the tertiary phase. …”
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Individual stress reactivity predicts alcohol craving and alcohol consumption in alcohol use disorder in experimental and real-life settings by Judith Zaiser, Sabine Hoffmann, Sina Zimmermann, Tatjana Gessner, Milena Deck, Nina Kim Bekier, Martin Abel, Philipp Radler, Jens Langejürgen, Bernd Lenz, Sabine Vollstädt-Klein, Jan Stallkamp, Clemens Kirschbaum, Falk Kiefer, Patrick Bach

“…Subjective stress reactivity was the most influential predictor of craving during the experiment (F(1,92) = 9.43, p = 0.003) and during the ambulatory phase (β = 0.16, p = 0.039) while cortisol levels predicted alcohol consumption in real-life settings (β = 9.76, p = 0.043). …”
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A XGBoost-Based Prediction Method for Meat Sheep Transport Stress Using Wearable Photoelectric Sensors and Infrared Thermometry by Ruiqin Ma, Runqing Chen, Buwen Liang, Xinxing Li

“…Finally, machine learning algorithms such as Gaussian Naive Bayes (GaussianNB), Passive-Aggressive Aggregative Classifier (PAC), Nearest Centroid (NC), K-Nearest Neighbor Classification (KNN), Random Forest (RF), Support Vector Classification (SVC), Gradient Boosting Decision Tree (GBDT), and eXtreme Gradient Boosting (XGB) were established to predict the classification models of transportation stress in meat sheep. …”
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Predictive performance of stress hyperglycemia ratio for poor prognosis in critically ill patients: a systematic review and dose–response meta-analysis by Lili Chen, Xiaoxue Zeng, Wenjing Zou, Meng Chen, Ya Fan, Ping Huang

“…Abstract Background Stress hyperglycemia ratio (SHR) refers to the ratio of blood glucose levels to glycated hemoglobin (HbA1c) levels upon admission. …”
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Predictive Value of Natriuretic Peptide Tests and Ischemia Modified Albumin Levels in the Diagnosis of Obstructive Sleep Apnoea Syndrome by Hamza Ogun, Eray Metin Güler, Beyza Nur Özkan, Muhammed Yunus Bektay, Abdullah Kansu, Ömer Faruk Çalım

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Endothelial Activation and Stress Index Is Associated With Adverse Maternal and Perinatal Outcomes in Preeclampsia by Anna S. Scholz, Annabel Kussner, Michael Elsässer, Thomas Luft, Stephanie Wallwiener, Alexandra von Au

“…Therefore, we aimed to assess the predictive performance of EASIX for adverse maternal and perinatal outcomes in pregnancies with preeclampsia. …”
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Machine learning prediction of 18 date palm polyphenol protection against biomolecular damage by Nashi K. Alqahtani, Tareq M. Alnemr, Rania Ismail, Hosam M. Habib

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A novel Z-shaped anti-rotation rod for atlantoaxial dislocation reduction: finite element analysis by Mandi Cai, Rencai Ma, Junlin Chen, Xinzhao Huang, Yixing Zhang, Zhuohang Xie, Xiaobao Zou, Xiangyang Ma

“…Based on this model, two C1-C2 fixation configurations were simulated: conventional pedicle screw-rod (PS-CR) and pedicle screw-Z-shaped rod (PS-ZR). Reduction forces were measured and compared. Range of motion (ROM), stress distribution and peak stress values of the implants were recorded and compared under six loading conditions including flexion, extension, lateral bending, and axial rotation. …”
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USING THE METHODS OF SYSTEMS BIOLOGY FOR PREDICTING PERSPECTIVE TARGET GENES TO SELECT C3 AND C4 CEREALS FOR OXIDATIVE STRESS RESISTANCE by A. V. Doroshkov, A. V. Bobrovskikh

“…Cells produce ROS during normal metabolism reactions, but ROS production increases under stressful conditions. Improving the antioxidant system in cultivated plants will increase their tolerance to abiotic stresses, such as salinity, drought and cold. …”
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Biomechanical effects of FNS on femoral neck fractures based on different reduction quality: finite element analysis by Xu Zhang, Yazhong Zhang, Shaolong Huang, Xiangyu Qi, Wenbo Li, Yongxiang Lv, Ziqiang Zhu

“…Conclusion The displacement and stress of negative reduction were greater than those of positive reduction and anatomical reduction when the tip-apex distance > 10 mm, and the bolt was situated in the lower-middle to the third part of the cortical corridor of the femoral neck, and in the presence of osteoporosis. …”
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Influence Mechanism and Optimal Design of Flexible Spring-Tooth Reel Mechanism for Soybean Pod-Shattering Reduction by Yuxuan Chen, Shiguo Wang, Bin Li, Yang Liu, Zhong Tang, Xiaoying He, Jianpeng Jing, Weiwei Zhou

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Prediction of Composite Panel Operability Under Non-Stationary Heating by the External Environment by Roman Musii, Myroslava Klapchuk, Uliana Zhydyk, Vitaliy Korendiy, Inha Svidrak, Roman Protasov

“…A physical and mathematical model consisting of two stages is proposed to predict the operability of such a panel depending on the heat transfer conditions. …”
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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

“…For all steel-group VSP samples, the highest CRS and hardness values were obtained at the 60 s −4 mm parameter. This paper aims to predict Almen intensity values using CRS, surface roughness, and hardness values from various steels. …”
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Outness predicts greater leukocyte telomere length in sexually minoritized men with HIV who use methamphetamine by Renessa S. Williams, Ariana Johnson, Michael Miller-Perusse, Annesa Flentje, Judy Moskowitz, Samantha E. Dilworth, Keith J. Horvath, Adam W. Carrico, Brad E. Aouizerat, Delaram Ghanooni

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Effect of deep pressure input on autonomic regulation during wisdom tooth extraction: From waiting room to surgery by Hsin-Yung Chen, Hsiang Yang, Ching-En Men, Chih-Hui Shen, Hsin-Ming Chen

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Risk prediction models for stress urinary incontinence after pelvic organ prolapse (POP) surgery: a systematic review and meta-analysis by Bi Jun Yu, Hao Chong He, Li Wang, Han Mei Shao, Ying Min Liu, Xiao Ying Yan, Jian Liu

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Extracellular Vesicles: A Novel Target for Exercise-Mediated Reductions in Type 2 Diabetes and Cardiovascular Disease Risk by Natalie Z. M. Eichner, Uta Erdbrügger, Steven K. Malin

“…However, only about 40–50% of this CVD risk reduction is accounted for by adiposity, hyperglycemia, hypertension, and dyslipidemia. …”
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Sirtuin1 mitigation of calcium oxalate nephropathy via enhancing itaconate abundance through reduction of histone trimethylation by Xiangyang Yao, Haoran Liu, Chen Duan, Yangjun Zhang, Xiaoliang Wu, Bo Li, Sheng Li, Yan Gong, Tongzu Liu, Xinghuan Wang, Hua Xu

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