Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

“…Motor imagery (MI) is a high-level cognitive process that has been widely applied to clinical rehabilitation and brain-computer interfaces (BCIs). …”
Get full text

Wearable System for Cardiac Diagnosis and Monitoring: Clustering Analysis and Usability Assessment Using Fractal Geometry by Jose Sulla Torres, Cusirramos Montesinos Roderick Nestor, Sandra Catalina Correa Herrera, Jairo Jattin Balcazar, Herwin Huillcen Baca, Agueda Munoz del Carpio Toia

“…This study differentiates itself from existing approaches by combining wearable technology with advanced computational techniques to enhance cardiac diagnosis and monitoring. …”
Get full text

Association between sleep disorders and myopia in Shanghai adolescents: a cross-sectional survey conducted among junior school students by Xiaoya Yin, Xuelai Wang, Zhe Zhang, Yani Zhai, Xinyi Zhou, Linlin Yuan, Shuman Li, Zhengzhong Wang, Lijing Sun, Chunyan Luo

“…Odds ratios (OR) were computed to assess the effect size. A generalized additive model was used to analyze the relationship between SE and sleep disorder. …”
Get full text

Regression-based leaf nitrogen concentration estimation of young Cephalotaxus hainanensis in small and imbalanced samples by Mengmeng Shi, Tian Wang, Ling Lin, Qingxue Li, Zhulin Chen, Xingjing Chen, Peng Wang, Xuefeng Wang

“…This study used a non-destructive method that combines computer vision and machine learning to estimate the LNC in Cephalotaxus hainanensis, an endangered tree species. …”
Get full text

The Value of Cerebral Blood Volume Derived from Dynamic Susceptibility Contrast Perfusion MRI in Predicting IDH Mutation Status of Brain Gliomas—A Systematic Review and Meta-Analys... by José Pablo Martínez Barbero, Francisco Javier Pérez García, Paula María Jiménez Gutiérrez, Marta García Cerezo, David López Cornejo, Gonzalo Olivares Granados, José Manuel Benítez, Antonio Jesús Láinez Ramos-Bossini

“…However, heterogeneity in acquisition parameters and post-processing methods limits generalizability of results. …”
Get full text

SentemQC - A novel and cost-efficient method for quality assurance and quality control of high-resolution frequency sensor data in fresh waters [version 2; peer review: 1 approved,... by Sofie Gyritia Madsen van't Veen, Joachim Audet, Eti Ester Levi, Brian Kronvang, Søren Erik Larsen, Erik Jeppesen, Esben Astrup Kristensen, Anders Nielsen, Thomas Alexander Davidson, Jane Rosenstand Laugesen, Peter Mejlhede Andersen

“…The SentemQC method is computationally efficient and features a six-step user-friendly setup for anomaly detection. …”
Get full text

The Future of the Psychiatrist by James B. Potash, Alex McClanahan, Jay Davidson, William Butler, Nathan Carroll, Anne Ruble, Mary Yaden, Darlene King, John Torous, Peter P. Zandi, Katherine G. Kennedy, Thomas E. Smith, Arpan Waghray, Robert Trestman, Marketa Wills

“…Psychiatrists make best use of our capabilities when we lead the process of comprehensively formulating patients' problems and generating a multi‐faceted treatment approach. …”
Get full text

Estimating Biomass in <i>Eucalyptus globulus</i> and <i>Pinus pinaster</i> Forests Using UAV-Based LiDAR in Central and Northern Portugal by Leilson Ferreira, André Salgado de Andrade Sandim, Dalila Araújo Lopes, Joaquim João Sousa, Domingos Manuel Mendes Lopes, Maria Emília Calvão Moreira Silva, Luís Pádua

“…The acquired LiDAR point clouds were processed to extract structural metrics such as canopy height, crown area, canopy density, and volume. …”
Get full text

COVID-19 vaccine uptake, barriers and associated factors among healthcare workers in Malawi by Clara Sambani, Tonny Muwonge, Liness Chinyamunyamu, Amon Dembo, Mosoka P. Fallah, Victor Chikwapulo, Mavuto Thomas, Charity Gondwe, Regina Mankhamba, Leah Mbabazi, Suzan Nakasendwa, Rodgers R. Ayebare, Collins Mitambo, Matthew Kagoli, Dzinkambani Kambalame, Clement Seven, Tadala Mwale, Edna Mandala, Abigail Kazembe, McWilliam Kalua, Senga Sembuche, Elizabeth Gonese, Tamrat Shaweno, Nebiyu Dereje, Evelyn C. Banda, Tajudeen Raji, Mitch Matoga

“…Frequencies and percentages were computed. Variables with p-value ≤ 0.25 were included in the multivariable modified passion model. …”
Get full text

Cholesterol-loaded metil-β- cyclodextrin in alpaca semen cryopreservation (Vicugna pacos) The methodological alternative by Ruth Ccalta Hancco, Cesar Domingo Ordoñez-Rodríguez, Ada Luz Ccalta Hancco, Hernán Carlos Cucho Dolmos

“…MCD was added in both methods, the cooled and thawed microscopic parameters were evaluated, a process in which dimethylformamide was used as a cryoprotectant. …”
Get full text

Perceptions of academic staff and students of senior high school in implementing game-based exercises in physical education classes—a research protocol for a qualitative descriptiv... by Donald Manlapaz, Jose Avelino Vergara, Keisha Marie Bea Alpuerto, Iszaac Khalil Señora De Los Santos, Michaela Urian Enriquez, Zamantha Zamora Manicio, Joshua Emmanuel Ferrera Mendres, Casey Gwyn Salvaleon Tolosa, Zachary Gabriel Dee Vilela, Zeraia Ezra Gabriel Alonzo Zabat

“…The authors will conduct a process of question development and pilot FGDs beforehand to ensure smooth proceedings. …”
Get full text

Robust and Unified Semi-Supervised Unmixing of Hyperspectral Imaging for Linear and Multilinear Models by Daniel Ulises Campos-Delgado, Juan Nicolas Mendoza-Chavarria, Omar Gutierrez-Navarro, Laura Quintana-Quintana, Raquel Leon, Samuel Ortega, Himar Fabelo, Carlos Lopez, Marylene Lejeune, Gustavo M. Callico

“…In general, our semi-supervised spectral unmixing schemes provide accurate and robust results with a fast computational time, and as expected, present an overall performance in between the supervised and unsupervised approaches. …”
Get full text

A Novel Mixed-Precision Quantization Approach for CNNs by Dan Wu, Yanzhi Wang, Yuqi Fei, Guowang Gao

“…It then establishes the optimization objective of the mixed-bit-width search network, and combines the cosine distance of the outputs of the two neighboring layers in the search process in order to construct a micro-minimizable combination of mixed-bit-widths for the super-net search. …”
Get full text

GUESS-ing polygenic associations with multiple phenotypes using a GPU-based evolutionary stochastic search algorithm. by Leonardo Bottolo, Marc Chadeau-Hyam, David I Hastie, Tanja Zeller, Benoit Liquet, Paul Newcombe, Loic Yengo, Philipp S Wild, Arne Schillert, Andreas Ziegler, Sune F Nielsen, Adam S Butterworth, Weang Kee Ho, Raphaële Castagné, Thomas Munzel, David Tregouet, Mario Falchi, François Cambien, Børge G Nordestgaard, Fredéric Fumeron, Anne Tybjærg-Hansen, Philippe Froguel, John Danesh, Enrico Petretto, Stefan Blankenberg, Laurence Tiret, Sylvia Richardson

“…Here we propose a computationally efficient algorithm (GUESS) to explore complex genetic-association models and maximize genetic variant detection. …”
Get full text

Utilization and Experiences of Using Quit Now, a Nicotine and Tobacco Smoking Cessation Website: Thematic Analysis by Tala Salaheddin, Ramona H Sharma, Marcela Fajardo, Cameron Panter, Lauren De Souza, Sheila Kanyevu Matano, Laura Struik

“… BackgroundBritish Columbia residents have access to a program called QuitNow that provides behavioral support and information about pharmacotherapy to nicotine and tobacco users. Web- or computer-based smoking cessation programs have been shown to yield an abstinence rate about 1.5 times higher when compared to a control. …”
Get full text

Prognostic significance of NT-proBNP and sST2 biomarkers in patients with post-myocardial infarction heart failure after a coronavirus infection by N. M. Kalashnikova, D. N. Zaitsev, A. V. Govorin, M. V. Chistyakova, B. T. Balzhitov

“…There were following most important factors of the developed model: age, level of NT-proBNP and sST2, lung involvement according to computed tomography.Conclusion. Modern biomarkers NT-proBNP and sST2 have sufficient predictive value to determine the risk of adverse events in HF.…”
Get full text

Validation of Gamma Raindrop Size Distribution Estimates Using Approximate Expressions with a Vertically Pointing Very-High-Frequency Radar by Meng-Yuan Chen, Ching-Lun Su, Wei-Sung Jen, Yen-Hsyang Chu, Wei-Nai Chen

“…The advantage of using analytical solutions is their computational efficiency for the real-time processing of large data sets. …”
Get full text

Modelling and Analysis of Low and Medium-Temperature Pyrolysis of Plastics in a Fluidized Bed Reactor for Energy Recovery by Natalia Wikira, Bahamin Bazooyar, Hamidreza Gohari Darabkhani

“…This study investigates the influence of low and medium process temperatures of pyrolysis on fluidized bed reactor parameters such as static pressure, fluidizing gas velocity, solid movement, and bubble formation. …”
Get full text

Deep Self-Supervised Disturbance Mapping With the OPERA Sentinel-1 Radiometric Terrain Corrected SAR Backscatter Product by Harris Hardiman-Mostow, Charles Marshak, Alexander L. Handwerger

“…Despite SAR's potential for disturbance mapping, processing SAR data to an analysis-ready format requires expertise and significant compute resources, particularly for large-scale global analysis. …”
Get full text

Live Weight Prediction in Norduz Sheep Using Machine Learning Algorithms by Cihan Çakmakçı

“…Considering runtime of the models, although the CART model had the lowest computational cost, it had the worst performance. The MANN algorithm, on the other hand, required a longer runtime to process the same dataset.…”
Get full text