Hybrid deep learning for IoT-based health monitoring with physiological event extraction by Sivanagaraju Vallabhuni, Kumar Debasis

“…However, the present-day models have failed to effectively encompass spatial-temporal data samples. Methods This paper presents a novel hybrid machine-learning model by amalgamating Convolutional Neural Networks (CNNs) with Long Short-Term Memory models (LSTMs) to boost prediction accuracy. …”
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Domain-Invariant Few-Shot Contrastive Learning for Hyperspectral Image Classification by Wenchen Chen, Yanmei Zhang, Jianping Chu, Xingbo Wang

“…In Hyperspectral Image (HSI) classification, acquiring large quantities of high-quality labeled samples is typically costly and impractical. Traditional deep learning methods are limited in such scenarios due to their dependence on sample quantities. …”
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Role of BioCard Mycoplasma Immunoglobulin M Rapid Test in the Diagnosis of Mycoplasma pneumoniae Infection by Ta-Yu Liu, Hong-Ren Yu, Wei-Ju Lee, Chih-Min Tsai, Kuang-Che Kuo, Chih-Hao Chang, Yu-Tsun Su, Sui-Ching Wang, Chen-Kuang Niu, Kai-Sheng Hsieh

“…Therefore, an optimal and instant detection method is needed to facilitate a more accurate diagnosis, which leads to the appropriate treatment of patients with M. pneumoniae-related pneumonia and reduces rates of resistance to antibiotics because of their misuse. …”
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A Classical and Bayesian Approach for Parameter Estimation in Structural Equation Models by Naci Murat, Mehmet Ali Cengiz

“…In small to moderate samples, these exact posteriors can provide a more realistic measure of model uncertainty. …”
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A reduced-dimensionality approach to uncovering dyadic modes of body motion in conversations. by Guy Gaziv, Lior Noy, Yuvalal Liron, Uri Alon

“…Our method consists of three steps: defining modes of body motion of individual participants, defining dyadic modes made of combinations of these individual modes, and lastly defining motion motifs as dyadic modes that occur significantly more often than expected given the single-person motion statistics. …”
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تأثیر استخدام التعلم الاتقاني في تعلم مھارتي الطبطبة والتصویب بكرة الید by حاتم شوكت ابراهيم, رافد حبيب قدوري, عبدالكريم ابراهيم جاسم

“…And emphasize the need to use more than one method in the educational process and to move away from traditional methods …”
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The use of corn and buckwheat flour in the production of bakery products by E. N. Efremova, A. I. Belyaev, N. Y. Petrov, E. A. Zenina

“…The bread was baked using the non-steam method. When conducting an organoleptic assessment of bread, the experimental sample complied with the requirements of GOST 27669-88 «Wheat baking flour. …”
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Robustness of analysis of covariance (ancova) under the distributions assumptions and variance homogeneity by Can Ateş, Özlem Kaymaz, Mustafa Agah Tekindal, Beyza Doğanay Erdoğan

“…However, unusual distributions in practice are more common than normal distribution. In this study, it is aimed to examine ANCOVA method or type 1 error rates under different distribution conditions and homogeneity of variances.…”
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Occurrence of Metabolic Disorders in Bilateral Primary Aldosteronism Compared to Unilateral Primary Aldosteronism by Chiara Grasselli, Maicol Baldini, Lucia Salvi, Grazia Vestita, Maurizio Zizzo, Davide Felaco, Maria Carolina Balli, Giulia Besutti, Aurelio Negro, Angelo Ghirarduzzi

“…Background: Metabolic syndrome (MetS) is a common comorbidity associated with hypertension that occurs more often in primary aldosteronism (PA). Our work aims to investigate the prevalence of MetS and its determinants in unilateral PA and bilateral PA, as confirmed by adrenal venous sampling (AVS). …”
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Creative Techniques on Optical Fiber to Produce Luminescence Electronic Textiles by E. Feli, A. Meftahi

“…The result showed that the light emitted from fibers with greater thickness shined more than the similar samples in fibers with less thickness. …”
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Cost-effectiveness of comparative survey designs for helminth control programs: Post-hoc cost analysis and modelling of the Kenyan national school-based deworming program. by Mark Minnery, Collins Okoyo, Grace Morgan, Andrew Wang, Olatunji Johnson, Claudio Fronterre, Antonio Montresor, Suzy J Campbell, Charles Mwandawiro, Peter Diggle

“…We micro-costed a survey of STH and schistosomiasis in Kenya, and linked results to precision estimates of competing survey methods to compare cost-efficiency.<h4>Methods</h4>Costs from a 2017 Kenyan parasitological survey were retrospectively analyzed and extrapolated to explore marginal changes when altering survey size, defined by the number of schools sampled and the number of samples taken per school. …”
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Dynamic microwave-assisted extraction combined with liquid phase microextraction based on the solidification of a floating drop for the analysis of organochlorine pesticides in gra... by Guijie Li, Xu Zhang, Tingting Liu, Hongxiu Fan, Hongcheng Liu, Shangyu Li, Dawei Wang, Lan Ding

“…Twelve samples can be processed simultaneously in the method. …”
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Research on Malodor Component Identification Based on Sensor Array by Jiaxing Xie, Wen Chen, Shiyun Chen, Peiwen Wu, Zhendong Lv, Jiatao Wu, Zihao Chen, Zonghong Li, Fan Luo, Xiaohong Liu

“…The framework achieves enhanced feature extraction from sensor time series data, enabling more precise and reliable detection of malodorous compounds. …”
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First Insights into Macromolecular Components Analyses of an Insect Meal Using Hyperspectral Imaging by Flávia Matias Oliveira da Silva, Liliana G. Fidalgo, Rita S. Inácio, Rafaela Fantatto, Maria J. Carvalho, Daniel Murta, Nuno S. A. Pereira

“…The objective of this work was to perform a nutritional pre-characterization of <i>Hermetia illucens</i> (Black Soldier Fly-BSF) larvae meal, using hyperspectral images in the range of 400–1000 nm, with a spectral resolution of 7 nm and a spatial sampling of 512 pixels, and correlate them to traditional chemical analysis methods. …”
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Prevalence of overweight and obesity and determinants associated with BMI Z-scores in Indigenous Yaqui schoolchildren from Sonora: a representative survey by Diana Marcela Valenzuela-Guzmán, María Fernanda Cabrer-Rosales, Elsia María Montero-Ruiz, Iván Francisco Reprieto-López, Martin Romero‑Martínez, Araceli Serna-Gutiérrez, Ana Cristina Gallegos-Aguilar, Heliodoro Alemán-Mateo, Rolando Giovanni Díaz-Zavala, Julián Esparza-Romero

“…This study aimed to assess the prevalence of overweight and obesity among Yaqui schoolchildren (aged 5–11 years) and to identify determinants associated with BMI Z-scores. Methods A cross-sectional study using probabilistic, multistage, and stratified sampling was conducted. …”
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Evaluation of Anxiety Levels in Patients Undergoing Intravitreal Injections and Associated Risk Factors Related to the Disease by Juan-Carlos Herranz-Heras, Almudena de-Pablo-Cabrera, Beatriz Alonso-Martín, Beatriz de-Lucas-Viejo, Marta de-Castro-Liébana, Enrique Mencía-Gutiérrez, Manuel-Jesús Ferro-Osuna, Carmen Romero, Javier Sambricio

“…To analyze patients’ anxiety levels using the Visual Analog Scale for Anxiety (VASA), in regard to intravitreal injection treatment and to determine possible associated risk factors related to the disease and treatment characteristics. Methods. Cross-sectional observational study with consecutive sampling of patients who were going to receive an intravitreal injection. …”
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What do nurses think about telenursing? A descriptive Italian study by Aurora De Leo, Sara Dionisi, Emanuele Di Simone, Alessandro Spano, Laura Iacorossi, Albina Paterniani, Gloria Liquori, Priscilla Molinaro, Fabrizio Petrone, Marco Di Muzio, Nicolo Panattoni, Noemi Giannetta

“…A non-validated questionnaire and convenience snowball sampling were used. Descriptive statistical analysis was performed. …”
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Morphological image analysis for estimating grape bunch weight under different irrigation regimes in Cabernet-Sauvignon by Carlos Poblete-Echeverria, Anke Berry, Talitha Venter, Sergio Velez, Maria Ignacia González Pavez, Rubén Iñiguez

“… Morphological image analysis has emerged as a powerful tool for assessing physical bunch characteristics in viticulture, particularly for estimating grape bunch weight, a key factor affecting vineyard yield and wine quality. Traditional manual sampling methods are labour-intensive, destructive, and prone to significant errors due to vineyard variability and environmental stresses such as water deficit. …”
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Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding by Ran Li, Dongfeng Zhang, Yanyun Han, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Xiaofeng Wang, Shouhui Pan, Jiahao Sun, Kaiyi Wang

“…Genomic selection plays a crucial role in breeding programs designed to improve quantitative traits, particularly considering the limitations of traditional methods in terms of accuracy and efficiency. Through the integration of genomic data, breeders are able to obtain more accurate predictions of breeding values. …”
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Assessing wild bee fauna (Hymenoptera: Apoidea: Anthophila) in Calabria (southern Italy) by M. L. Vommaro, M. Lento, D. Michez, S. Flaminio, S. Flori, I. Treccosti, G. Di Prisco, L. Goglia, P. Brandmayr, A. Giglio

“…This study, conducted over a three-year period (2022–2024), surveyed eight sites in an area designated as a UNESCO (United Nations Educational, Scientific and Cultural Organization) Man and Biosphere Reserve in Calabria. The sampling methods included transect walks and pan traps, leading to the identification of 80 species, classified into 17 genera belonging to four families (Andrenidae, Apidae, Halictidae, Megachilidae). …”
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