Experimental Study of Compression Behavior on Monolayer FFF Samples by Moises Batista, Pedro F. Mayuet Ares, Juan Manuel Vazquez-Martinez, Christiane Droste-Wendt

“…However, ensuring the mechanical reliability of these components, particularly for load-bearing purposes, requires systematic mechanical testing of well-designed specimens to asses their suitability. …”
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Comparative evaluation of four traction scenarios on a labially impacted dilacerated maxillary central incisor: a three-dimensional finite element analysis by Enas Senan Alyafrusee, Bowen Zheng, Wael Telha, Mengyao Li, Haopeng Wu, Xiaofeng Yang, Bushra Sufyan Almaqrami, Naseem Ali Al-Worafi, Majedh Abdo Ali Al-Somairi, Maged S. Alhammadi, Yi Liu

“…Material parameters, grids, boundary conditions, coordinate systems, and load conditions were set in Ansys to establish the FEM for traction of the impacted incisor. …”
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Development and study of mucoadhesive microcapsules for the nasal levodopa delivery by D. S. Gordeeva, V. V. Khutoryanskiy, R. I. Moustafine

“…The encapsulation efficiency, % (EE%) and loading capacity, % (LC%) of levodopa loaded MC were assessed using UV spectrophotometry on an Evolution™ 220 device (Thermo Fisher Scientific, USA) at a wavelength of 202 nm. …”
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Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements by K. А. Molokov, V. V. Novikov, M. Dabalez

“…The literature on the topic was analyzed. The features of proven physical models and patterns of behavior of materials were taken into account. …”
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Rock breaking law of TBM hob assisted by low pressure abrasive air jet grooving by Hongtu ZHANG, Yaopu YANG, Yong LIU, Jianping WEI, Zhiping LI

“…When the notch depth is greater than 8 mm, the rock failure feature of “rock ridge” with high indentation of the hob and low bottom of the notch is formed. …”
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In-vitro immune-modulation of triple-negative breast cancer through targeting miR-30a-5p/MALAT1 axis using nano-PDT combinational approach by Asmaa Ramzy, Mohammad Abdel-Halim, Tamer Manie, Noha M. Elemam, Samar Mansour, Rana A. Youness, Aya Sebak

“…Methods: This study enrolled 30 BC patients. CLNPs and ce-6-loaded CLNPs with different physicochemical features were synthesized and optimized using ionotropic gelation. …”
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Metacavities by harnessing the linear-crossing metamaterials by Wu Jiaju, Guo Zhiwei, Qi Xin, Wei Qian, He Li, Fang Kai, Sun Yong, Li Yunhui, Chen Yuguang, Jiang Haitao, Chen Hong

“…More importantly, the proposed metacavity possesses the remarkable feature of partial defect immunity and geometry robustness. …”
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Recurrence-Based Techniques for Data-Driven Fault Diagnosis and Monitoring in Neutral-Point-Clamped Inverters by Lincoln Moura De Oliveira, Menaouar Berrehil El Kattel, Esio Eloi Dos Santos Filho, Juan C. Vasquez, Josep M. Guerrero, Fernando Luiz Marcelo Antunes

“…The study investigates both normal operation with varying load conditions and open-circuit faults in power switches. …”
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Biomimetic astrocyte cell membrane-fused nanovesicles for protecting neurovascular units in hypoxic ischemic encephalopathy by Zihao Liu, Qian Xia, Chanyue Wang, Jiacan Xu, Kangqian Tian, Zhihai Wang, Longji Li, Yuchen Li, Hao Shang, Qian Liu, Tao Xin

“…Due to the homotypic targeting feature of membrane-fused nanovesicles, we employed astrocyte membranes as synthetic materials to improve the targeting of astrocytes in brain while reducing the clearance of nanovesicles by circulatory system. …”
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D2: An LLM agent driving end-to-end visual AI modeling in energy platforms by Yu Li, Qiaoqiao Zhao, Min Hou, Quansheng Bai, Xiyan Zou, Changle Xie, Chang Shu, Boyang Ma, Zhijin Li

“…By comparing LSTM and D2-assisted XGBoost models, the study demonstrates how the agent facilitates iterative reasoning, feature enhancement, and hyperparameter tuning. These findings establish X-AI as a practical, scalable AI solution for accelerating intelligent decision-making in the energy domain.…”
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Age- and Post-Based Complex Analyses of Heart Rate Variability in Young Male Handball Players for Potential Prevention of Overload-induced Injuries by Zita Petrovszki, Olivér Czimbalmos, Vera Gal, Gabor Korosi, Edit Nagy, Rita Mikulan, Gyongyi Horvath

“…Background/objective: Cardiovascular measures are important for prescription of appropriate training load; however, little data exist in this respect on handball players. …”
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SafetyGPT: An autonomous agent of electrical safety risks for monitoring workers’ unsafe behaviors by Wei Li, Fuqi Ma, Zhiyuan Zuo, Rong Jia, Bo Wang, Abdullah M Alharbi

“…The model encodes visual and textual features into corresponding tokens, realizes multi-modal feature alignment and fusion through the cross-attention mechanism, and then generates targeted responses through the large language model. …”
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WDNET-YOLO: Enhanced Deep Learning for Structural Timber Defect Detection to Improve Building Safety and Reliability by Xiaoxia Lin, Weihao Gong, Lin Sun, Xiaodong Yang, Chunwei Leng, Yan Li, Zhenyu Niu, Yingzhou Meng, Xinyue Xiao, Junyan Zhang

“…Structural timber is an important building material, but surface defects such as cracks and knots seriously affect its load-bearing capacity, dimensional stability, and long-term durability, posing a significant risk to structural safety. …”
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Knee Osteoarthritis Diagnosis With Unimodal and Multi-Modal Neural Networks: Data From the Osteoarthritis Initiative by Xin Yu Teh, Pauline Shan Qing Yeoh, Tao Wang, Xiang Wu, Khairunnisa Hasikin, Khin Wee Lai

“…The image features and demographic embeddings are combined into a unified vector before classification. …”
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Co-delivery of polyphyllin II and IR780 PLGA nanoparticles induced pyroptosis combined with photothermal to enhance hepatocellular carcinoma immunotherapy by Huating Huang, Jing Fu, Hulinyue Peng, Yuanyuan He, Aqian Chang, Huizhong Zhang, Yang Hao, Xiaohan Xu, Shiman Li, Jingxia Zhao, Jian Ni, Xiaoxv Dong

“…The nanoparticles exhibit a pH/NIR dual-response intelligent release feature, which realizes the targeted and controlled release of drugs in tumor site. …”
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Research on the numerical simulation of dynamic explosion shock wave propagation characteristics between floors by Ke Wu, Bo Chen, Hao Li, Yunfeng Zhang, Damin Zhang, Yixuan Wu, Yaguang Sui

“…This study addresses the assessment of dynamic explosive shock wave loads in building damage evaluation. Utilizing numerical simulation methods, we investigated the propagation process of shock waves between building floors, capturing the evolution of their wavefronts. …”
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Leveraging Machine Learning Regression Algorithms to Predict Mechanical Properties of Evaporitic Rocks From Their Physical Attributes by Ayham Zaitouny, Hasan Arman, Anusuya Krishnan, Alaa Ahmed, Ahmed Gad

“…In this study, machine learning (ML) regression algorithms were applied to predict four key mechanical parameters, namely, uniaxial compressive strength (UCS), point load index (PLI), indirect tensile strength (ITS), and Schmidt hardness value (SHV), based on the physical attributes of evaporitic rocks. …”
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Atovaquone-induced activation of the PERK/eIF2α signaling axis mitigates metabolic radiosensitisation by Jie Feng, Varun Pathak, Niall M. Byrne, Sarah Chambers, Tongchuan Wang, Rayhanul Islam, Reinhold J. Medina, Jonathan A. Coulter

“…Abstract Background Hypoxia, a key feature of most solid tumours, including head and neck cancer, reduces radiotherapy efficacy by promoting radiation resistance through micro-environmental and genomic alterations. …”
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An explainable web application based on machine learning for predicting fragility fracture in people living with HIV: data from Beijing Ditan Hospital, China by Bo Liu, Bo Liu, Qiang Zhang, Qiang Zhang, Xin Li, Xin Li

“…The optimal model was integrated into an online risk assessment calculator.ResultsThe XGBoost model showed the highest predictive performance, with key features including age, smoking, fall history, TDF use, HIV viral load, vitamin D, hemoglobin, albumin, CD4 count, and lumbar spine BMD. …”
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Normative 3D opto-electronic stereo-photogrammetric posture and spine morphology data in young healthy adult population. by Moreno D'Amico, Edyta Kinel, Piero Roncoletta

“…This was associated with four factors: unbalanced posture and/or underfoot loads, spinal curvature in the frontal plane, and pelvis torsion. …”
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