Review of Self-Powered Wireless Sensors by Triboelectric Breakdown Discharge by Shuzhe Liu, Jixin Yi, Guyu Jiang, Jiaxun Hou, Yin Yang, Guangli Li, Xuhui Sun, Zhen Wen

“…These methods offer novel technical pathways and theoretical frameworks for next-generation wireless sensing systems. …”
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Acoustic Voice Analysis as a Tool for Assessing Nasal Obstruction: A Systematic Review by Gamze Yesilli-Puzella, Emilia Degni, Claudia Crescio, Lorenzo Bracciale, Pierpaolo Loreti, Davide Rizzo, Francesco Bussu

“…Data sources: PubMed, Scopus, Web of Science, Ovid Medline, and Science Direct. Review methods: A comprehensive literature search was conducted without any restrictions on publication year, employing Boolean search techniques. …”
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OSCILLATORY ROLL OF THE ROAD ROLLER WITH A DOUBLE SIDE PLATE by S. V. Saveliev, V. V. Dubkov, M. K. Shushubaeva, V. B. Permyakov

“…The most effective is the vibrating machines’ compaction, which have a wide range of control parameters. …”
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Global research trends on subtypes of Parkinson's disease: A visual bibliometric analysis by Yan Su, Sheng Cai, Yang Xu, Xianwen Chen

“…Methods: Original research and review articles related to PD subtypes from January 1, 2015 to December 31, 2024 were retrieved from the Web of Science Core Collection (WOSCC) database. …”
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Diagnosis of epileptic seizure neurological condition using EEG signal: a multi-model algorithm by Mosleh Hmoud Al-Adhaileh, Mosleh Hmoud Al-Adhaileh, Sultan Ahmad, Alhasan A. Alharbi, Mohammed Alarfaj, Mohammed Alarfaj, Mukta Dhopeshwarkar, Theyazn H. H. Aldhyani

“…An essential step that may help clinicians identify and treat epileptic seizures is the differentiation between epileptic and non-epileptic signals by use of epileptic seizure detection categorization.MethodsIn this work, we investigated Machine learning algorithms including Random Forest, Gradient Boosting, and K-Nearest Neighbors, alongside advanced DL architectures such as Long Short-Term Memory networks and Long-term Recurrent Convolutional Networks for detecting epileptic seizures in terms of difficulties and procedures evolved depending on EEG data. …”
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Determinants and risk prediction models for frailty among community-living older adults in eastern China by Lin Qi, Lin Qi, Jianyu Liu, Xuhui Song, Xinle Wang, Mengmeng Yang, Xinyi Cao, Yan He

“…ObjectiveThe purpose of this study is to develop predictive models for frailty risk among community-dwelling older adults in eastern China using machine learning techniques. This approach aims to facilitate early detection of high-risk individuals and inform the design of tailored interventions, with the ultimate goals of enhancing quality of life and mitigating frailty progression in the older adult population.MethodsThis study involved 1,263 participants aged 60 years or older, who were selected through stratified cluster sampling. …”
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Effect of root dentin pretreatment with different concentrations of chitosan on the push-out bond strength of fiber post using a self-adhesive resin cement by Elham Ahmadi, Seyedeh Mahsa Sheikh-Al-Eslamian, Sara Valizadeh, Mohammad Javad Kharazifard, Faezeh Aghajani

“…The PBS was measured in a universal testing machine. The mode of failure was also determined under a stereomicroscope and a scanning electron microscope (SEM). …”
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Mechanical Resistance of Implant-Supported Crowns with Abutments Exhibiting Different Margin Designs by Daniela Stoeva, Galena Mateeva, Danimir Jevremovic, Ana Jevremović, Branka Trifkovic, Dimitar Filtchev

“…All samples were subjected to fatigue loading test in chewing Simulator CS-4 (SD-Mechatronik, Westerham, Germany) for 1250,000 cycles, at a frequency of 2 Hz. The specimens, which survived, was conducted to compressive strength test in universal testing machine Instron M 1185 (Instron, Norwood, MA, USA). …”
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Investigation of the relationship between lead exposure in heavy metals mixtures and the prevalence of stroke: a cross-sectional study by Jiarong He, Wen Zhang, Fang Zhao, Ming Wang, Zhuo Wang, Chen Liang, Jing Pan, Jiaoying Jia, Mingming Zhang

“…However, the specific influence of heavy metal exposure on stroke prevalence remains underexplored. Methods This study utilized data from the National Health and Nutrition Examination Survey (NHANES) spanning from 2011 to 2018 to investigate the association between blood metal concentrations and the incidence of stroke. …”
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Research on artificial intelligence-driven container relocation problem for green ports by Sisi Zheng, Jin Sha, Yinying Kong, Yougan Wang

“…IntroductionContainer relocation in port yards represents a canonical NP-hard problem, characterized by high-dimensional nonlinear constraints and stringent real-time decision-making requirements.MethodsThis study proposes a unified framework integrating an Intelligent Decision-Driven Model (IDDM), an Adaptive Data Generator (ADG), and an Optimization–Learning Closed-Loop Framework (OLCF).ResultsThe IDDM leverages heuristic search and machine learning within a multi-stage decision mechanism to mitigate the curse of dimensionality; in two-dimensional scenarios involving 50–100 containers, the model achieves an average response time of 9.83 ± 0.12 µs and reduces relocation operations by 61.68%. …”
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Voice-Evoked Color Prediction Using Deep Neural Networks in Sound–Color Synesthesia by Raminta Bartulienė, Aušra Saudargienė, Karolina Reinytė, Gustavas Davidavičius, Rūta Davidavičienė, Šarūnas Ašmantas, Gailius Raškinis, Saulius Šatkauskas

“…The deep neural network classified previously unseen voice recordings with 0.84 accuracy, 0.81 specificity, 0.86 sensitivity, and 0.85 and 0.81 F1-scores for blue and pink classes, respectively. The machine learning algorithms revealed that voice parameters, such as Mel-frequency cepstral coefficients, Chroma vectors, and sound energy, play the most significant role. …”
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High gamma EEG responses to emotional stimuli in virtual reality: insights from local activation and distributed characteristics by Shasha Xiao, Nadia Youssef, Qingxun Zhang, Xiaoqian Lin, Ziquan Qiu, Wenjie Liu, Xianglian Meng, Minchang Yu

“…IntroductionHigh frequency electroencephalogram (EEG) activity, particularly in the high gamma range, plays an important role in research on human emotions. …”
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Nonlinear Relationship Between the Elderly’s Perception of Green Spaces and Their Activity Characteristics by Yuanjing WU, Yongyi YOU, Wei ZHOU, Siren LAN

“…The dependent variable covers four dimensions of activity level: weekly activity frequency, average activity duration, diversity of activity types, and total weekly activity amount. …”
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Numerical Modal Analysis of Vibrations in a Three-Phase Linear Switched Reluctance Actuator by José Salvado, Maria do Rosário Calado, António Espírito Santo, Anna Guerman

“…We build the 3D model of the actuator and use finite element method (FEM) to find its natural frequencies. The focus is on frequencies within the range up to nearly 1.2 kHz which is considered relevant, based on preliminary simulations and experiments. …”
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Experimental study on end face grinding stability of thin-walled CFRP circular cell by Shulong WANG, Junchao TIAN, Renke KANG, Zhigang DONG, Yan BAO

“…Considering the structural characteristics of thin-walled CFRP circular cells, this paper conducts end-face grinding experiments and explores the influence of the exit angle, grinding speed, feed rate, and grinding depth on grinding stability. MethodsThe machining of CFRP honeycomb is a repetition of machining thin-walled CFRP circular cells. …”
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Non-invasive acoustic classification of adult asthma using an XGBoost model with vocal biomarkers by Yi Lyu, Quan-Cheng Jiang, Shuai Yuan, Jing Hong, Chun-Feng Chen, Hai-Mei Wu, Yi-Qin Wang, Yu-Jing Shi, Hai-Xia Yan, Jin Xu

“…Abstract Traditional diagnostic methods for asthma, a widespread chronic respiratory illness, are often limited by factors such as patient cooperation with spirometry. …”
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Toward AI-Driven Cough Sound Analysis for Respiratory Disease Diagnosis by Houda Benaliouche, Houda Hafi, Hakim Bendjenna, Zeyad Alshaikh

“…We methodically evaluate different model architectures, ranging from custom-built networks to pre-trained deep models, applying spectrogram or Mel-Frequency Cepstral Coefficients (MFCC) in transfer learning-based feature extraction, to determine which is the best approach in terms of accuracy, precision, recall, F1-score, and loss. …”
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Association Between Atherogenic Index of Plasma and Endometriosis: Evidence from NHANES 1999–2006 by Liu L, Su G, Rao J, Peng J, Lin X, Huang Y, Liang F, Feng C, Lin Z

“…A linear correlation between AIP and endometriosis was observed within the constraints of the restricted cubic spline regression model. The machine learning results indicate that AIP is the most critical lipid indicator.Conclusion: Our analysis confirms a positive correlation between elevated AIP levels and the frequency of endometriosis cases. …”
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Advancing soil-structure interaction (SSI): a comprehensive review of current practices, challenges, and future directions by Imtiyaz Akbar Najar, Raudhah Ahmadi, Akeem Gbenga Amuda, Raghad Mourad, Neveen El Bendary, Idawati Ismail, Nabilah Abu Bakar, Shanshan Tang

“…It highlights advancements in analytical, numerical, and experimental modelling methods, such as finite element analysis and discrete element methods, and evaluates their effectiveness in capturing the complex interactions between soil and structural systems. …”
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Dynamics of molten pool evolution and high-speed real-time optical measurement in laser polishing by Du Wang, Mingjie Yu, Yifan Yao, Shaoyi Wang, Yueyun Weng, Shuang Zhao, Fei Fan, Keisuke Goda, Sheng Liu, Zongqing Zhao, Cheng Lei

“…In addition to LP, the proposed method can be applied for real-time and in situ monitoring of many machining scenarios involving highly dynamic phenomena.…”
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