Enhancing precision in multiple sclerosis lesion segmentation: A U-net based machine learning approach with data augmentation by Oezdemir Cetin, Berkay Canel, Gamze Dogali, Unal Sakoglu

“…To address the issue of insufficient training data, data augmentation techniques have been implemented, enhancing the diversity and volume of the training set. …”
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Gearbox fault diagnosis method based on adaptive multi-sensor data level fusion and fine-grained domain adaptation by Yabin Shi, Gaige Chen, Lin Li, Xiaozheng Jin, Jian Zheng, Zhongquan Li

“…Firstly, each single sensor data undergoes preprocessing using the eccentricity technique, followed by the determination of their optimal weighting factors for the effective convergence of data from multiple sensors, with the aim of minimizing the mean square error. …”
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Migration Phenology and Spatial Distribution of Soaring Birds in Greece: From Citizen Science Data to Implications for Monitoring and Conservation Strategies by Anastasios Bounas, Nikos Tsiopelas, Angelos Evangelidis, Christos Barboutis

“…Traditional monitoring methods face challenges due to resource limitations and the country’s complex geography. This study aimed to determine the migration phenology and spatial distribution of 18 species of raptors and soaring birds in Greece using citizen science data from eBird, analyzed with generalized additive models (GAMs). …”
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AI-MedLeafX: a large-scale computer vision dataset for medicinal plant diagnosisMendeley Data by Md. Fahim Ferdous, Faysal Bin Khaled Nissan, Nur Muhammad Nibir, Md. Hasan Imam Bijoy

“…The original dataset comprised 10,858 high-resolution images, which were subsequently expanded to 65,148 through the application of six comprehensive data augmentation techniques, including rotations (45°, 60°, and 90°), horizontal flipping, zooming and brightness adjustment. …”
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A novel approach in diagnosing knee osteoarthritis for content based image retrieval in big data analytics and medical images by Pinar Gundogan Bozdag, Hurşit Burak Mutlu, Mucahit Karaduman, Muhammed Yildirim, M. Attique Khan, Shrooq Alsenan, Jamel Baili, Yunyoung Nam

“…Abstract The rapid growth in database size due to technological advances has led to difficulties in locating and accessing specific data components. While deep learning and other machine learning architectures are promising in retrieving data components, their effectiveness is more pronounced when addressing groups of diseases. …”
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2.5D deep learning radiomics and clinical data for predicting occult lymph node metastasis in lung adenocarcinoma by Xiaoxin Huang, Xiaoxiao Huang, Kui Wang, Haosheng Bai, Xiuxian Lu, Guanqiao Jin

“…This study aims to investigate the potential of combining 2.5D deep learning radiomics with clinical data to predict OLNM in lung adenocarcinoma. …”
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Forecasting the daily evaporation by coupling the ensemble deep learning models with meta-heuristic algorithms and data pre-processing in dryland by Tonglin Fu, Dong Wang, Jing Jin

“…Specifically, integrating meta-heuristic algorithms, ensemble deep learning models, and data preprocessing techniques for evaporation prediction is notably scarce. …”
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Multi-omic integration of single-cell data uncovers methylation profiles of super-enhancers in skeletal muscle stem cells by Anyu Zeng, Hailong Liu, Shuling He, Xuming Luo, Zhiqi Zhang, Ming Fu, Baoxi Yu

“…Methods The ROSE software was employed to identify super enhancers from the ChIP-seq data obtained from the ENCODE database. Additionally, the ALLCools and Methylpy packages were applied to analyze the methylation profile of SEs and to identify differentially methylated regions (DMRs) between aged and control samples using single-cell bisulfite sequencing (scBS-seq) data from the Gene Expression Omnibus (GEO) database. …”
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Detection of Illicit Conservation Treatments in Sea Bass (<i>Dicentrarchus labrax</i>): Application and Data Integration of NIR Spectrometers by Giovanna Esposito, Alessandro Benedetto, Elisa Robotti, Masho Hilawie Belay, Eleonora Goggi, Simone Cerruti, Nunzia Giaccio, Davide Mugetti, Emilio Marengo, Laura Piscopo, Marzia Pezzolato, Elena Bozzetta, Maria Cesarina Abete, Paola Brizio

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Investigating the impact of the regularization parameter on EEG resting-state source reconstruction and functional connectivity using real and simulated data by F. Leone, A. Caporali, A. Pascarella, C. Perciballi, O. Maddaluno, A. Basti, P. Belardinelli, L. Marzetti, G. Di Lorenzo, V. Betti

“…However, EEG source estimation techniques encounter numerous methodological challenges, with a key one being the selection of the regularization parameter in minimum norm estimation. …”
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Modeling Wetland Biomass and Aboveground Carbon: Influence of Plot Size and Data Treatment Using Remote Sensing and Random Forest by Tássia Fraga Belloli, Diniz Carvalho de Arruda, Laurindo Antonio Guasselli, Christhian Santana Cunha, Carina Cristiane Korb

“…Accurate aboveground biomass (AGB) and organic carbon (Corg) estimation are crucial for wetland carbon sink research. Remote sensing (RS) data effectively estimate and map AGB and Corg in wetlands using various techniques, but there is still room to improve the efficiency of machine learning (ML)-based approaches. …”
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Examining the determinant factor of football technical skills by Panuwun Joko Nurcahyo, Kusnandar Kusnandar, Didik Rilastiyo Budi, Arfin Deri Listiandi, Erwin Oliver Estrella, Mohhamad Ashraf Khan, Mohammed Asim Ghazi, Mazuki Mohd Yasim, Mohd Izwan Shahril

“… Introduction: Football sport has various factors that affect achievement, including physical condition, technique, tactics and mentality. This study aims to examine Correlation between training motivation, physical fitness and motor educability with the level of football technical skills in football athletes. …”
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Data Parameters From Participatory Surveillance Systems in Human, Animal, and Environmental Health From Around the Globe: Descriptive Analysis by Carrie McNeil, Nomita Divi, Charles Thomas Bargeron IV, Andrea Capobianco Dondona, Kacey C Ernst, Angela S Gupta, Olukayode Fasominu, Lucy Keatts, Terra Kelly, Onicio B Leal Neto, May O Lwin, Mvuyo Makhasi, Eric Beda Mutagahywa, Diego Montecino-Latorre, Sarah Olson, Pranav S Pandit, Daniela Paolotti, Matt C Parker, Muhammad Haiman Samad, Kara Sewalk, Anita Sheldenkar, Lertrak Srikitjakarn, Channé Suy Lan, Michael Wilkes, Terdsak Yano, Mark Smolinski

“…Variations in data collection techniques were observed for commonly used parameters, such as demographics and clinical signs or symptoms. …”
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Factors influencing female students’ choices of Scientific fields: a case study of the university of Ngaoundéré using a stratified survey by Mbelawadzai Joseph, Mbounja Béssémè Fritz, Kouakep Tchaptchié Yannick, Anegue Jean de Dieu

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Efficacy of Bilateral Transverse Abdominis Plane Block and Ilioinguinal Iliohypogastric Nerve Block for Post Lower Segment Caesarean Section Pain Relief: A Randomised Clinical Stud... by Jigisha Bharatbhai Mehta, Gayatri Vasagadekar, Sara Mary Thomas

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Transformational Potential of Terminological Units in Non-Scientific Discourse Realization: Linguocognitive Analysis of Determinologization of Elements of Term System of Basic and... by A. Y. Bagiyan, L. B. Ezdekova

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Visual Representations of Happiness in Portuguese Adolescents by Teresa Freire, Andreia Ramos, Beatriz Raposo, Jenna Hartel

“…Methods: Applying the ‘draw-and-write’ technique, Portuguese adolescents were asked to ‘Draw happiness’, generating a visual data set of 330 drawings, coined hSquares. …”
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Hernioplasty of large and giant diaphragmal hernias with polypropylene and biocarbonic implant by I. I. Rosenfeld

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Effectiveness of petrissage massage manipulation in reducing delayed onset muscle soreness (DOMS) by Ulfatul Azizah Awaliyyah, Hermawan Pamot Raharjo, Riki Edo Saputro, Fajar Awang Irawan, Sandhya Kresnajati

“…This reduction reflects the positive impact of increased blood flow and muscle relaxation facilitated by the massage technique. Conclusion: Petrissage massage manipulation is an effective technique for alleviating DOMS pain. …”
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Evaluation of 40 rhytidoplasties performed at the Federal Hospital of Andaraí to compare two different techniques: cervicofacial SMAS-plasty acc... by Diego Vigna Carneiro

“…An assessor identified some variables in specific regions of the face from an aesthetic point of view, and he rated improvements based on photographs obtained before and 6 months after operation. The data collected allowed to quantify complications of both techniques separately. …”
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