Influence of Water Immersion on Coal Rocks and Failure Patterns of Underground Coal Pillars Considering Strength Reduction by Haihua Zhu, Peitao Wang, Kewei Zhang, Yijun Gao, Zhenwu Qi, Meifeng Cai

“…The cracking stress is 15.60 MPa, with strain of 0.54%. The peak stress is recorded at 27.65 MPa, with strain of 0.92%. …”
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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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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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Probabilistic Fatigue Life Prediction of Plain Concrete Under Cyclic Loading Through Experimental Finite Element and Stochastic Modelling by Mohamad Shazwan Ahmad Shah, Sarehati Umar, Nurul ‘Azizah Mukhlas, Ng Chiew Teng, Haikhal Faeez Hairuddin, Wan Ikram Wajdee Wan Ahmad Kamal, Hanis Hazirah Arifin, Norhazilan Md. Noor

“…The fatigue failure of plain concrete under cyclic loading remains a challenge in structural engineering, particularly for infrastructure exposed to repeated stress fluctuations. Existing fatigue life prediction models fail to fully capture material variability and uncertainties, leading to inconsistent estimations and potential structural failures. …”
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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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Financial Distress Prediction Analysis at PT Garuda Indonesia Tbk for 2020-2023 Using the Grover, Taffler and Springate Methods by Fayza Safira Hasanah, Ananda Putri Hasanah, Erwin Budianto

“…This study aims to evaluate the potential financial distress of PT Garuda Indonesia Tbk during the period 2020-2023 using three prediction models: Grover, Taffler, and Springate. Financial distress is an early sign of financial instability that can lead to bankruptcy, so it is important to analyze it to prevent greater risks. …”
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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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Enhancing green bean crop maturity and yield prediction by harnessing the power of statistical analysis, crop records and weather data. by Miranda Y Mortlock, David Carey, Hamish Murray, Peter J Baker, Paul G Corry

“…Linear and nonlinear statistical models were used to predict duration of vegetative and pod filling periods and fresh yield using agro-meteorological variables including thermal time, radiation and days of high temperature stress. …”
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Mortality of serious diabetic complications is not predictable by heat shock protein-70 in emergency department: a prospective pilot study by İsmail Borazan, Gülşen Akçay, Bedriye Müge Sönmez, Murat Özdemir, Arzu Kösem, Atakan Öztürk

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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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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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Research on sediment reduction benefits of engineering measures on waste rock slope under different rainfall intensities by Yuning ZHANG, Gang LYU, Taiyu ZHANG, Shuzhen XIONG

“…The maximum reductions in runoff rate and sediment yield compared to the control group were 65.18% and 92.23%, respectively. …”
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Characterized source model of the 2023 Mw 7.6 Turkey earthquake for strong motion prediction of crustal mega-earthquakes by Toshimi Satoh

“…However, previous slip models based on kinematic source inversion or back-projection are not applicable to simulate or predict strong ground motions in the full frequency range of engineering interest. …”
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Additively manufactured injection mould tooling incorporating gradient density lattice structures for mass and energy reduction by Rokas Šakalys, Christopher O'Hara, Mandana Kariminejad, Albert Weinert, Mohammadreza Kadivar, Bruno Zluhan, Karl Costello, Marion McAfee, Gerard McGranaghan, Ramesh Raghavendra, David Tormey

“…Mass reductions of 21.86 and 23.95 % were achieved for moving and fixed halves respectively; this corresponds to laser energy savings of 11.06 and 13.44 %. …”
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Exploration and research progress on the integrated technology of coalbed methane development, gas control, and methane emission reduction by Shuxun SANG, Honggao XIE, Zhihua YAN, Shiqi LIU, Xiaozhi ZHOU, Sijie HAN, Sijian ZHENG, Fansheng HUANG

“…Given the “triple” attributes of coal methane as an energy source, a disaster gas, and a greenhouse gas, developing integrated technologies for its development, management, and emission reduction is vital to enhance efficient production and utilization and ensure energy, production, and ecological security. …”
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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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Long-term effectiveness of the Mindful Self-Compassion programme compared to a Mindfulness-Based Stress Reduction intervention: a quasi-randomised controlled trial involving regular mindfulness practice for 1 year by Antonio Crego, José Ramón Yela, María Ángeles Gómez-Martínez, María Ángeles Gómez-Martínez, Elena Sánchez-Zaballos, Aitor Vicente-Arruebarrena, Aitor Vicente-Arruebarrena

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Synergistic Anti-Inflammatory Effects of Pomegranate Peel–Hawthorn Combinations in Ulcerative Colitis: Network Pharmacology Prediction and Experimental Validation by Shouqing Zhang, Quanyuan Qiu, Mengzhen Yuan, Jiajia Yu, Weiwei Gao, Xi Wang, Zhen Liu, Peng Yu, Cen Xiang, Yuou Teng

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

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