Topology Optimization Design of Transfer Case Housing by Zhang Qing, Zhang Bin, Li Hongbiao, Huo Chunjing, Yang Xianxue

“…The topology optimization design of the complicated transfer case housing is conducted by using the variable density method. Taking the minimum compliance as the optimization objective and the volume fraction,static displacement,static stress,modal frequency and machining process as constrains condition,the topology optimization analysis of external shape and internal rib plate are carried out. …”
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Survey of the DASH7 Alliance Protocol for 433 MHz Wireless Sensor Communication by Maarten Weyn, Glenn Ergeerts, Luc Wante, Charles Vercauteren, Peter Hellinckx

“…433 MHz is getting more attention for Machine-to-Machine communication. This paper presents the DASH7 Alliance Protocol, an active RFID alliance standard for 433 MHz wireless sensor communication based on the ISO/IEC 18000-7. …”
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Exploring Process Heterogeneity in Environmental Statistics: Examples and Methodological Advances by Gregor Laaha, Johannes Laimighofer, Nur Banu Özcelik, Svenja Fischer

“…However, environmental systems are complex, and processes change over states or seasons, leading to often overlooked heterogeneity. This paper explores methods to incorporate process heterogeneity into statistical models to improve their performance. …”
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Lorenz-PSO Optimized Deep Neural Network for Enhanced Phonocardiogram Classification by Awais Mahmood, Mousa Alhajlah, Habib Dhahri, Abdulaziz Almaslukh

“…The results are also compared to a fusion of instantaneous frequency-based features with random forest & KNN classifiers and other state-of-the-art methods on accuracy, precision, recall, F1-score, and fitness value. …”
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To Compare Incisional Fluid Loss During Different Stages of Phacoemulsification and its effect on Anterior Chamber Stability in Micro Coaxial and Bimanual Phacoemulsification by Dharmik Sharma, Dipan Desai, Kaushik Solanki

“…All patients were operated on the same phaco machine by the same surgeon. Intra-operative parameters were constant for all patients in each group. …”
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Vibration Tendency Prediction Approach for Hydropower Generator Fused with Multiscale Dominant Ingredient Chaotic Analysis, Adaptive Mutation Grey Wolf Optimizer, and KELM by Wenlong Fu, Kai Wang, Jiawen Tan, Kaixuan Shao

“…Among the methods, variational mode decomposition (VMD), phase space reconstruction (PSR), and singular spectrum analysis (SSA) are suitably integrated into the proposed analysis strategy. …”
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Estimation of snow load and avalanche hazard assessment in Southeastern Afghanistan through remote sensing techniques by Nazir Khan Mohammadi, Mohammad Gul Arabzai, Zikui Wang

“…The findings underscore the necessity for region-specific modeling strategies and enhanced data collection methods to tackle the challenges presented by climatic variability. …”
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Estimating the Risk of Lower Extremity Complications in Adults Newly Diagnosed With Diabetic Polyneuropathy: Retrospective Cohort Study by Alyce S Adams, Catherine Lee, Gabriel Escobar, Elizabeth A Bayliss, Brian Callaghan, Michael Horberg, Julie A Schmittdiel, Connie Trinacty, Lisa K Gilliam, Eileen Kim, Nima S Hejazi, Lin Ma, Romain Neugebauer

“… Abstract BackgroundDiabetes-related lower extremity complications, such as foot ulceration and amputation, are on the rise, currently affecting nearly 131 million people worldwide. Methods for early detection of individuals at high risk remain elusive. …”
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Neutrophil- and Endothelial Cell-Derived Extracellular Microvesicles Are Promising Putative Biomarkers for Breast Cancer Diagnosis by Thayse Batista Moreira, Marina Malheiros Araújo Silvestrini, Ana Luiza de Freitas Magalhães Gomes, Kerstin Kapp Rangel, Álvaro Percínio Costa, Matheus Souza Gomes, Laurence Rodrigues do Amaral, Olindo Assis Martins-Filho, Paulo Guilherme de Oliveira Salles, Letícia Conceição Braga, Andréa Teixeira-Carvalho

“…<b>Objective:</b> This study proposes the development of a minimally invasive BC diagnostic panel and follow-up biomarkers as a complementary method to screen patients. <b>Methods:</b> The quantification of circulating MVs in 48 healthy women and 100 BC patients who attended the Mário Penna Institute between 2019 and 2022 was performed by flow cytometry. …”
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Revolution of Artificial Intelligence and the Internet of Objects in the Customer Journey and the Air Sector by Hadjer Saadi, Rachida Touhami, Mustapha C.E. Yagoub

“…Artificial intelligence (AI) is a discipline interested in the processes and methods that allow a machine to perform tasks related to human intelligence. …”
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Estimation of vibration attenuation coefficient of wheel sets on electric locomotive underframe by Sergey F. Podust

“…The vibration velocity calculation is based on the energy methods traditionally used for the energy-closed circuits. …”
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Mechanical properties of a photosensitive resin structure by ZHU Dong-mei, DING Feng, LIU Hai-ping, LIU Guo-yong

“…A 3D printing photosensitive resin structure has many advantages, such as good corrosion resistance, flexibility, low yield, and superior deformability; thus, it has been widely used in several fields.In this study, a new photosensitive resin structure was designed and built using 3D printing method.The new photosensitive resin structure is mainly used as a damping element in shockabsorbing and -isolating composite structures.First, load-displacement curves were obtained by compression experiments using the universal testing machine controlled via a microcomputer, and the equivalent elastic modulus of the specific points in the structure was calculated.Dynamic loading tests were conducted using the fatigue machine.Moreover, the hysteresis loops under different frequencies between 5 Hz and 20 Hz were obtained.The equivalent damping ratio was calculated on the basis of the hysteresis loops.The static and dynamic calculation models were built on the basis of the finite element method.After the calculations, the numerical results and the test data under the same conditions were compared.The numerical results agreed well with the test data, thereby verifying the feasibility of the finite element models.Furthermore, the influences of different geometric parameters, such as slot width, inner arc, outer arc, and thickness, on the equivalent elastic modulus of the specific location and equivalent damping ratio of photosensitive resin were investigated by the finite element method.When the 3D printing photosensitive resin structure is subjected to force, it maintains a stiffness output and small deformation along the longitudinal direction; however, the lateral displacement can be enlarged.The 3D printing photosensitive resin structure has a good capability to reduce vibration and resist deformation.The results provide references for the future research of the static and dynamic characteristics and engineering application of the 3D printing photosensitive resin structure.…”
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Voice as a sensitive biomarker for predicting exercise intensity: a modelling study by Shuyi Zhou, Ruisi Ma, Wangjing Hu, Dandan Zhang, Rui Hu, Shengwei Zou, Dingyi Cai, Zikang Jiang, Hexiao Ding, Ting Liu

“…These features were analyzed using statistical models, including support vector machine (SVM), to classify exercise intensity.ResultsSignificant variations in speech characteristics, such as speech duration, fundamental frequency (F0), and pause times, were observed across different exercise intensities, with the models achieving high accuracy in distinguishing between exercise states.ConclusionThese findings suggest that speech analysis can provide a non-invasive, real-time method for monitoring exercise intensity. …”
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Intelligent denoiser of plasma waves by SS-520-3 sounding rocket experiment toward future EMC challenges in miniaturized platform chassis by Mitsunori Ozaki, Ray Morita, Akihiro Hirano, Satoshi Yagitani, Yoshiya Kasahara, Takahiro Zushi, Satoshi Kurita, Hirotsugu Kojima

“…One key feature of the waveform clustering method is that it is based on an unsupervised machine learning technique, which relies solely on objective signal features and does not require subjective training data. …”
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PyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data by Jia Xu, Michael Vaeggemose, Rolf F. Schulte, Baolian Yang, Chu-Yu Lee, Christoffer Laustsen, Vincent A. Magnotta

“…PyAMARES bridges the gap between traditional MRS fitting methods and modern machine learning frameworks, potentially accelerating advancements in metabolic studies and clinical applications.…”
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Saturated Interference in SAR: Theoretical Analysis and Suppression Solutions by Lunhao Duan, Xingyu Lu, Jianchao Yang, Huizhang Yang, Shiyuan Zhang, Guanqi Tong, Ke Tan, Zheng Dai, Hong Gu

“…While significant research has been conducted on SAR interference suppression using parametric, nonparametric, semiparametric methods, and machine learning, these studies often neglect the impact of high-power interference, which can saturate SAR receivers due to their limited dynamic range. …”
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Identification of fermented soy sauce and blended soy sauce based on dielectric spectra by Yingman Xie, Jiayao Zhao, Chao Mao, Huiyun Pang, Pengfei Ye, Xiangwei Chen, Hongfei Fu, Yequn Wang, Yunyang Wang

“…A new method based on dielectric properties has been developed to distinguish blended soy sauce from fermented soy sauce. …”
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Intrusion Detection in IoT Networks Using Dynamic Graph Modeling and Graph-Based Neural Networks by William Villegas-Ch, Jaime Govea, Alexandra Maldonado Navarro, Pablo Palacios Jativa

“…Experimental results demonstrate that our GNN-based model significantly outperforms traditional machine learning methods, achieving an F1-Score of 0.95 and an AUC-ROC of 0.98, compared to values between 0.84 and 0.91 for Support Vector Machines and Random Forests. …”
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Research on Abnormal Ship Brightness Temperature Detection Based on Infrared Image Edge-Enhanced Segmentation Network by Xiaobin Hong, Guanqiao Chen, Yuanming Chen, Ruimou Cai

“…Existing infrared image segmentation methods face challenges such as the absence of color information, blurred edges, weak high-frequency details, and low contrast due to the imaging principles. …”
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Current State of Connected Sensor Technologies Used During Rehabilitation Care: Protocol for a Scoping Review by Michelle R Rauzi, Rachael B Akay, Swapna Balakrishnan, Christi Piper, Denise Gobert, Alicia Flach

“… BackgroundConnected sensor technologies can capture raw data and analyze them using advanced statistical methods such as machine learning or artificial intelligence to generate interpretable behavioral or physiological outcomes. …”
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