Predictive molecular biomarkers of radiosensitivity in adult glioma: a narrative review by Romina Abyaneh, Sanaz Bordbar, Soroush Moradi, Sina Molavizade, Shiva Fallahianshafiei, Paola Anna Jablonska, Alba Fiorentino, Reza Ghalehtaki

“…This review explores predictive molecular biomarkers for radiosensitivity in gliomas, highlighting the latest advancements in preclinical studies and available clinical data, as well as their potential to inform future personalized radiotherapy strategies. …”
Get full text

Developing a geomechanical model to predict breakdown pressure in a vertical borehole using failure analysis: a case study by Majid Jamshidian, Mostafa Mansuri Zadeh, Omid Mohammadzadeh, Mohammad Abdideh

“…Four failure criteria, namely Mohr–Coulomb, 2D Hoek–Brown, Hubbert-Willis and 3D Mogi-Coulomb were used to obtain the breakdown pressure for the target reservoir. Based on the prediction results of these failure criteria, it was obtained that 2D Hoek–Brown, Hubbert-Willis, and 3D Mogi-Coulomb criteria resulted in seemingly unrealistic breakdown pressures with respect to the minimum horizontal stress gradient. …”
Get full text

Genetically Predict Diet‐derived Antioxidants and Risk of Neurodegenerative Diseases Among Individuals of European Descent: A Mendelian Randomization Study by Qing‐Qing Duan, Wei‐Ming Su, Xiao‐Jing Gu, Jiang Long, Zheng Jiang, Kang‐Fu Yin, Wei‐Chen Cai, Bei Cao, Li‐Yi Chi, Xia Gao, Ju‐Rong Li, Yong‐Ping Chen

Get full text

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

Subjects: Get full text

Effect of the Heat Affected Zone Hardness Reduction on the Tensile Properties of GMAW Press Hardening Automotive Steel by Alfredo E. Molina-Castillo, Enrique A. López-Baltazar, Francisco Alvarado-Hernández, Salvador Gómez-Jiménez, J. Roberto Espinosa-Lumbreras, José Jorge Ruiz Mondragón, Víctor H. Baltazar-Hernández

Get full text

Simulation of Cerebral Aneurysm Growth and Prediction of Evolving Rupture Risk by Martin Kroon

“…The proposed framework may potentially be used under in vivo conditions to predict the risk of rupture for diagnosed aneurysms.…”
Get full text

Fatigue Life Prediction for an Extrusion Die Based on the Experimental Factors by Vivean Hassan Hammed, Mohammed Ali Nasser, Ali Hassan Salih

“…So, the present research describes the main purpose of predicting the fatigue life of the die numerically based on the highest loading factors getting from the experimental work, indicating how many numbers of product samples can be produced during the whole life of this designed die depending on these loading or over. …”
Get full text

Pyroshock Prediction of Ridge-Cut Explosive Bolts Using Hydrocodes by Juho Lee, Dae-Hyun Hwang, Jae-Kyeong Jang, Dong-Jin Kim, YeungJo Lee, Jung-Ryul Lee, Jae-Hung Han

“…Although pyroshock propagations are relatively well understood through many numerical and experimental studies, the prediction of pyroshock generation is still a very difficult problem. …”
Get full text

Deformation prediction in innovative implant design with machine learning approaches by Mehmet Onur Yağır, Muhammed Fatih Pekşen, Şaduman Şen, Uğur Şen

“…Unlike classic implants, the sleeved implant is predicted to provide a more homogeneous distribution of chewing forces on the bone by reducing stress concentrations around the implant. …”
Get full text

WHY WE CANNOT PREDICT STRONG EARTHQUAKES IN THE EARTH’S CRUST by Iosif L. Gufeld, Margarita I. Matveeva, Oleg N. Novoselov

“…The question arises, what hinders solving a problem of earthquake prediction, while longterm and continuous seismic monitoring systems are in place in many regions of the world. …”
Get full text

Integrated physiological and transcriptomic analyses reveal the mechanism of reduction in wheat fertile floret number under spring low-temperature stress by Ying Weng, Zhiwei Tang, Weixiang Huang, Rui Wang, Feifei Wang, Hongmei Cai, Hao Wang, Zehao Liu, Baoqiang Zheng, Jincai Li, Xiang Chen

Get full text

Effectiveness of an online mindfulness based stress reduction intervention on psychological distress among patients with COVID19 after hospital discharge by Maryam Mozaffari, Manijeh Naderi, Hosein Zahednezhad, Fataneh Ghadirian

“…This study aimed to investigate the effectiveness of an online Mindfulness-Based Stress Reduction (MBSR) training program in alleviating psychological distress, depression, anxiety, and stress among patients who have passed the acute phase of COVID-19 and have been discharged from the hospital. …”
Get full text

Convolution of the physical point cloud for predicting the self-assembly of colloidal particles by Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn

“…Furthermore, although we train the semantic stress relationships that constitute each phase of the network using same-sized particles with a pre-specified inter-particle interaction, our algorithm demonstrates generalized predictive performance even for suspensions with randomly distributed particle sizes. …”
Get full text

Predicting post-traumatic growth based on rumination-reflection in patients with cancer by Elmira Majedi, Mahdieh Salehi, Amin Rafiepoor, Afsaneh Ghanbaripanah

“…Post-traumatic growth is associated with greater physical and mental health experience and lower distress and post-traumatic stress. Thus, the present study aimed to investigate the model of predicting post-traumatic growth based on rumination/reflection with the mediating role of the meaning of life. …”
Get full text

Identification and characterization of forced degradation products of lumateperone tosylate by LC-HRMS, GC-MS, NMR, and in silico toxicity prediction by Nehal Bhatt, Devendra Sonaje, Vijiaya Madhyanapu Golla, Rahul Khemchandani, Roshitha K. R, Arun Kumar Gupta, Gananadhamu Samanthula

“…In silico toxicity analysis using ADMET Predictor® flagged four DPs (DP-1, DP-2, DP-5, and DP-6) with mutagenic alerts and predicted additional hepatotoxic, cardiotoxic, and receptor-mediated risks.These findings support formulation and quality management of lumateperone.…”
Get full text

Title not available by Linn, Debora, Becker, Wilfried

Subjects: Get full text

Neural patterns of threat response in adolescents predict vulnerability for and resilience against internalizing symptoms during COVID-19 waves by Anna Tyborowska, Yvonne van den Berg, Mahur M. Hashemi, Hannah C.M. Niermann, Antonius H.N. Cillessen, Ivan Toni, Karin Roelofs

“…Action-preparatory activity supporting these reactions, including the amygdala, has been posited as a potential marker for stress-resilience. We considered the successive COVID-19 lockdowns as two pervasive stressors, to prospectively investigate the predictive value of neural threat-responses towards symptom development. …”
Get full text

Fatigue damage reduction in hydropower startups with machine learning by Till Muser, Ekaterina Krymova, Alessandro Morabito, Martin Seydoux, Elena Vagnoni

Get full text

Coupled Productivity Prediction Model for Multi-Stage Fractured Horizontal Wells in Low-Permeability Reservoirs Considering Threshold Pressure Gradient and Stress Sensitivity by Long Xiao, Ping Yue, Hongnan Yang, Wei Guo, Simin Qu, Hui Yao, Lingqiang Meng

Subjects: Get full text

Correction: 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

Get full text