Seismic Facies Classification of Salt Structures and Sediments in the Northern Gulf of Mexico Using Self-Organizing Maps by Silas Adeoluwa Samuel, Camelia C. Knapp, James H. Knapp

“…Different combinations of geometric, instantaneous, amplitude-based, spectral frequency, and textural attributes were tested using Self-Organizing Maps (SOM) to identify distinct seismic facies. …”
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In Vitro Comparison of Fracture Resistance of Severely Damaged Primary Anterior Teeth Restored with Different Post and Core Systems by Mandana Alamdari Mahd, Payvand Moeiny, Haleh Heshmat, Nahid Askarizadeh

“…This study aimed to compare the fracture resistance (FR) of severely damaged primary anterior teeth restored with five different post and core systems. Materials and Methods. This in vitro, experimental study evaluated 60 extracted primary maxillary central incisors. …”
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Spectral feature modeling with graph signal processing for brain connectivity in autism spectrum disorder by Ayesha Jabbar, Huang Jianjun, Muhammad Kashif Jabbar, Khalil ur Rehman, Anas Bilal

“…These are classified using a Support Vector Machine (SVM) with a radial basis function (RBF) kernel. …”
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Enhancing meniscal repair with tough adhesive puncture sealing (TAPS) suture: A proof‐of‐concept study on bovine cadaveric knees by Stephanie Lamer, David Mazy, Marie‐Lyne Nault

“…The repaired menisci were clamped onto an Instron machine and underwent cyclic loading between 5 and 25 N at a frequency of 0.16 Hz. …”
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EmoTrans attention based emotion recognition using EEG signals and facial analysis with expert validation by Ch Anwar Ul Hassan, Muhammad Ehatisham-ul-Haq, Fiza Murtaza, Aman Ullah Yasin, Syed Sajid Ullah

“…Classic emotion recognition methods usually rely on controlled stimuli, such as music and images, which does not allow for ecological validity and scope. …”
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Antimicrobial Susceptibility Profiles of <i>Escherichia coli</i> Isolates from Clinical Cases of Ducks in Hungary Between 2022 and 2023 by Ádám Kerek, Ábel Szabó, Ákos Jerzsele

“…Understanding resistance patterns and predicting MDR occurrence are critical for effective intervention strategies. <b>Methods</b>: <i>E. coli</i> isolates were collected from duck samples across multiple regions. …”
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Mobile Accelerometer Applications in Core Muscle Rehabilitation and Pre-Operative Assessment by Aleš Procházka, Daniel Martynek, Marie Vitujová, Daniela Janáková, Hana Charvátová, Oldřich Vyšata

“…The study employs a range of machine learning methods, including support vector machines, Bayesian analysis, and neural networks, to evaluate the balance of various physical activities. …”
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Text mining and topic modeling insights on fish welfare and antimicrobial use in aquaculture by Annalisa Previti, Vito Biondi, Federica Bruno, Germano Castelli, Michela Pugliese, Fabrizio Vitale, Barbara Padalino, Annamaria Passantino

“…Text mining analysis revealed terms with the highest weighted frequency in the data corpus, while topic analysis identified the top five core areas: Topic 1 (Antibiotic resistance and strain genetic isolation), Topic 2 (Aquaculture and Human Health, environment, and food), Topic 3 (Fish response to stress and indicators), Topic 4 (Control of water and fish growth), and Topic 5 (Aquaculture research and current farming methods). …”
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Technology and implementation of flax stripping in the primary flax processing line by R. A. Rostovtsev, V. G. Chernikov, S. V. Solovyov, I. B. Kazakov

“…(Research purpose) To develop the technology for fiber flax stripping at a flax mill using the proposed comb-type device, and to examine the parameters and modes of its functionality. (Materials and methods) A testing model was designed for a stripping machine, enabling an exploration of the flax combing process within the factory. …”
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Hybrid preprocessing and ensemble classification for enhanced detection of Parkinson's disease using multiple speech signal databases by Ling-Chun Sun, Chun-Wei Tseng, Ke-Feng Lin, Ping-Nan Chen

“…Methods We utilized three publicly available PD speech datasets—MIU (Sakar), UEX (Carrón), and UCI (Little)—to build ML models incorporating a hybrid preprocessing framework. …”
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Debatable Questions about Bologna Process in Ukrainian Medical Education by Nyankovskyy S., Ivakhnenko O., Iatsula M.

“…The Bologna process in Ukraine has dramatically increased the time, duration and frequency of formal control of students’ knowledge and skills. …”
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Analysis of the mechanism of physical activity enhancing well-being among college students using artificial neural network by Yuxin Cong, Roxana Dev Omar Dev, Shamsulariffin Bin Samsudin, Kaihao Yu

“…Its mean absolute error is only 0.072, the mean square error is 0.00596, and the root mean square error is 0.077, which is remarkably superior to traditional machine learning methods such as random forest and support vector regression. …”
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MOIRA-UNIMORE Bearing Data Set for Independent Cart Systems by Abdul Jabbar, Marco Cocconcelli, Gianluca D’Elia, Davide Borghi, Luca Capelli, Jacopo Cavalaglio Camargo Molano, Matteo Strozzi, Riccardo Rubini

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Characterisation of Adrenal Masses with Contrast Enhanced Computed TomographyAdrenal Protocol: A Cross-sectional Study by Hrishikesh Choudhury, Rishabh, Sushant Agarwal, BK Duara, Mousumi Gogoi, Baloy Jyoti Talukdar, Bhaskar Das, Subhosree Dey

“…Categorical variables were expressed in terms of frequency and percentage, and variables were compared using the Chi-square test. …”
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A PDMS-based Microfluidic Chip Assembly for Time-Resolved Cryo-EM (TRCEM) Sample Preparation by Xiangsong Feng, Joachim Frank

“…Time-resolved cryo-EM (TRCEM) makes it possible to provide structural and kinetic information on a reaction of biomolecules before the equilibrium is reached. Several TRCEM methods have been developed in the past to obtain key insights into the mechanism of action of molecules and molecular machines on the time scale of tens to hundreds of milliseconds, which is unattainable by the normal blotting method. …”
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INTELLIGENT TECHNOLOGY OF WAVELET ANALYSIS OF VIBRATION SIGNALS by A. V. Gulai, V. M. Zaitsev

“…The wavelet analysis method of vibration signals is disclosed at acoustic diagnostics of machines and mechanisms. …”
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Multi-modal denoised data-driven milling chatter detection using an optimized hybrid neural network architecture by Haining Gao, Haoyu Wang, Hongdan Shen, Shule Xing, Yong Yang, Yinlin Wang, Wenfu Liu, Lei Yu, Mazhar Ali, Imran Ali Khan

“…Multi-modal data features of different machining states are then obtained using time–frequency domain methods and Markov transition field methods. …”
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DEVELOPMENT OF AUTOMATED EXCITATION AUXILIARY CUTTING SIMILAR EXPERIMENT PROTOTYPE AND ITS MECHANICAL EXPERIMENT by LU JinNan, YUE JianGuang, XIE Miao, WANG PengFei

“…At the same time, it has opened up new ideas and new methods for the energy-saving and efficient work of the cutting machine cutting mechanism from the perspective of external excitation.…”
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Local structural–functional coupling with counterfactual explanations for epilepsy prediction by Jiashuang Huang, Shaolong Wei, Zhen Gao, Shu Jiang, Mingliang Wang, Liang Sun, Weiping Ding, Daoqiang Zhang

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Control system and process optimization for electroless nickel plating by Yingtai Qiao, Jian Hou, Min Lai, Fengzhou Fang

“…A novel method based on mid-frequency vibration is proposed to eliminate coating defects such as bubbles during electroless nickel plating. …”
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