Intelligent diagnosis of gearbox in data heterogeneous environments based on federated supervised contrastive learning framework by Ruoyang Bai, Hongwei Wang, Wenlei Sun, Li He, Yuxin Shi, Qingang Xu, Yunhang Wang, Xicong Chen

“…Abstract To address the model training bottleneck caused by the coupling of data silos and heterogeneity in intelligent fault diagnosis, this study proposes a Federated Supervised Contrastive Learning (FSCL) framework. Traditional methods face dual challenges: on one hand, the scarcity of fault samples in industrial scenarios and the privacy barriers to cross-institutional data sharing result in insufficient data for individual entities; on the other hand, the data heterogeneity caused by differences in equipment operating conditions significantly diminishes the model aggregation effectiveness in federated learning. …”
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Effect of Particle Size on Pore Structure and Fractal Characteristics of Deep Siliceous Shales in Southern Sichuan, China, Measured Using Small-Angle Neutron Scattering and Low-Pre... by Hongming Zhan, Xizhe Li, Zhiming Hu, Liqing Chen, Weijun Shen, Wei Guo, Weikang He, Yuhang Zhou

“…To systematically analyze the influence of particle size on pore characteristics, case studies were performed on two groups of organic-rich deep shale samples. Multiple methods, including small-angle neutron scattering (SANS), low-pressure nitrogen gas adsorption (LP-N₂GA), low-pressure carbon dioxide gas adsorption (LP-CO₂GA), and XRD analysis, were adopted to investigate how the crushing process would affect pore structure parameters and the fractal features of deep shale samples. …”
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Assessment of the speed of transmission of Ehrlichia canis, Anaplasma phagocytophilum, and Borrelia burgdorferi sensu stricto by infected ticks through an in vitro experimental mod... by F. Beugnet, M. Madder, A. Joubert, I. Bouzaidi Cheikhi, M. Chajia, J. F. Besselaar, D. Y. Tan

“…Three experiments were conducted, one per pathogen/tick model. …”
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Screening, molecular identification, and evaluation the effects of indigenous Plant Growth-Promoting Rhizobacteria on growth indices and nutrient uptake of chamomile (Matricaria ch... by Seyed Hassan Tafaroji, Seyed Ali Abtahi, Mojtaba Jafarinia, Mehdi Ebadi

“…This study aimed to isolate and identify indigenous PGPR from rhizosphere soil and evaluate their effects on the growth indices of chamomile under saline conditions.MethodsForty-five rhizosphere soil samples were collected from agricultural fields in Beyram, Iran. …”
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Multi-omics Analysis Reveals Molecular Subtype of Mitochondrial Oxidative Stress and Prognostic Model Development in Sepsis by Baolong Zhu, Jinxiang Wang, Yan Wang

“…Inflammation and mitochondrial oxidative stress have been proposed as primary factors in the development of sepsis. Methods: In the present research, normal and sepsis samples were obtained from the Gene Expression Omnibus (GEO) database (GSE54514, GSE65682, and GSE95233). …”
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Satisfaction, self-confidence and self-efficacy in the use of clinical simulations: comparisons between health undergraduates and professionals by Viviane Christine dos Reis Alves Almeida, Jaqueline Costa Lima, Gímerson Erick Ferreira, João Lucas Campos de Oliveira, Jocilene de Carvalho Miraveti, Mara Regina Rosa Ribeiro

“… Objective: to analyze the levels of satisfaction, self-confidence, and self-efficacy in clinical simulations among health undergraduates and professionals. Methods: cross-sectional study based on Design Science Research Methodology, with 156 health professionals and 149 health undergraduates who participated in an educational session about personal protective equipment use during the COVID-19 pandemic, mediated by Rapid-Cycle Deliberate Practice. …”
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On the most significant change of teachers’ evaluation: A descriptive-narrative research by Carina Seron, Betarmos, Jr. Vicente, Melbert Hungo, Leomarich Casinillo

“…The instruments aimed to capture participants' experiences related to classroom physical aspects, teaching methods, and teaching portfolios. …”
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The strategies of nutrient removal compounds from wastewater by using aquatic plants in the Green deal implementation by Larysa Sablii, Veronika Zhukova, Jakub Drewnowski

“…It was noted that the simultaneous use of an increased dose of duckweed Lemna minor and the algae Spirogyra sp. significantly increases the efficiency of nitrate removal from the experimental samples, and the efficiency of phosphate removal did not change compared to the experiment without the use of the algae Spirogyra sp. and with the use of a double dose of duckweed. …”
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Healthcare providers’ perceptions and understanding of voluntary medical male circumcision in KwaZulu-Natal, South Africa: A qualitative study by Celenkosini T. Nxumalo, Gugu G. Mchunu

“…This study was conducted to examine healthcare workers perceptions and understanding of VMMC in KwaZulu-Natal, South Africa. Methods: The study employed a qualitative approach using a phenomenographic design. …”
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Fast converging iterative wavefront sensing for scatter compensation in multi-photon fluorescence microscopy by Kibum Nam, Maria Borozdova, Jung-Hoon Park, Alexander Jesacher

“…In simulations, we further verify that the optimised c-DASH can find a correction pattern through all considered aberration modes in a little more than a single measurement iteration, making it one of the fastest converging iterative wavefront sensing methods available.…”
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Microscopic Numerical Analysis of Sand Liquefaction Under Subway Train Load by Jin Zhang, Jiale Yang, Chuanlong Xu, Xianzhang Ling, Chen Liu, Mohsen Saleh Asheghabadi

“…However, existing liquefaction studies mainly focus on seismic loads, and the macro-meso-mechanical mechanisms of liquefaction induced by train vibration loads remain unclear, which hinders the establishment of effective liquefaction prediction and evaluation methods. To investigate the microscopic mechanisms underlying sand liquefaction caused by train-induced vibrations, this study employs PFC3D discrete element software in conjunction with laboratory experiments to analyze the microscopic parameters of the unit cell. …”
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DP-FedCMRS: Privacy-Preserving Federated Learning Algorithm to Solve Heterogeneous Data by Yang Zhang, Shigong Long, Guangyuan Liu, Junming Zhang

“…An adaptive clustering algorithm is also proposed, which combines gradient quantile sparsification to amplify data characteristics to Ensure high-accuracy clustering results under the condition of high privacy guarantee. Many experiments are carried out on three classical datasets, MNIST, FMNIST and CIFAR10, the accuracy of the model trained by DPFedCMRS is increased by 5.98%, 5.16% and 2.05% compared with the existing methods when the privacy budget is 2, indicating that DPFedCMRS improves the performance of federated learning in the case of highly heterogeneous data distribution and high privacy guarantee.…”
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Satisfaction, self-confidence and self-efficacy in the use of clinical simulations: comparisons between health undergraduates and professionals by Viviane Christine dos Reis Alves Almeida, Jaqueline Costa Lima, Gímerson Erick Ferreira, João Lucas Campos de Oliveira, Jocilene de Carvalho Miraveti, Mara Regina Rosa Ribeiro

“… Objective: to analyze the levels of satisfaction, self-confidence, and self-efficacy in clinical simulations among health undergraduates and professionals. Methods: cross-sectional study based on Design Science Research Methodology, with 156 health professionals and 149 health undergraduates who participated in an educational session about personal protective equipment use during the COVID-19 pandemic, mediated by Rapid-Cycle Deliberate Practice. …”
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Electrodynamic Technologies in the Eco-industry of Food and Pharmaceutical Production by Burdo O.G., Levitsky A.P., Trishyn F.A., Terziev S.G., Sirotyuk I.V., Burdo A.K., Lapinska A.P., Molchanov M.Yu.

“…It has been established that information in available sources is only about laboratory-scale equipment, and theoretical information (models, mechanisms, calculation methods) is practically absent. The aim of the work is to conduct systematic studies in the “extractor — dehydrator — plant material” scheme. …”
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Few-shot learning for novel object detection in autonomous driving by Yifan Zhuang, Pei Liu, Hao Yang, Kai Zhang, Yinhai Wang, Ziyuan Pu

“…This study focuses on enhancing perception robustness in autonomous vehicles, particularly in detecting rare objects, which pose a challenge due to limited training samples. While deep learning-based vision methods have shown promising accuracy, they struggle with rare object detection. …”
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Effect of industrial processing of crackers on the recovery and quantitation of allergens with ELISA kits by Cindy Hidalgo-Víquez, Rebeca López-Calvo, Adrián Roda-Brenes, Carolina Cortés-Herrera, Andrea Chacón

“…The effect of baking was evaluated with the traditional cracker type. For both experiments, samples were taken from four batches, and they were analyzed with three different kits for milk and egg analysis in an independent way. …”
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Material Characterization and Damage Assessment of Byzantine Rock-Cut Monastery: A Case Study of Kiyikoy Hagia Nicholas by Şerife Özata, Büşra Aktürk, Engin Aktürk

“…Then, a damage reconnaissance was performed and material samples were subjected to mechanical, physical, and chemical analyses and acid treatment experiments. …”
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Effects of Paliperidone Palmitate on Coagulation: An Experimental Study by Enver Demirel Yılmaz, Sedat Motor, Fatih Sefil, Neslihan Pınar, Hanifi Kokacya, Mustafa Kisa, Suleyman Oktar

“…The aim of the present study was to examine the effects of a new antipsychotic drug paliperidone palmitate on hemogram and coagulation parameters in rats. Materials and Methods. Experiments were performed on 22 female albino Wistar rats (8–12 weeks old). …”
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Effect of a program adapted the "Hopscotch" on the sense of rhythm in the movements of russian children. Quasi-experimental study by Georgiy Polevoy, Héctor Fuentes-Barría

“… Objective: To determine the effect of using a standard classics exercise on the development of indicators of sense the rhythm of movements of children 8-9 years old. Methods: Quasi-exoerimental study with intervention group (n = 52) and control group (n = 52), whose sample considered children belonging to ordinary school number 60 of the Russian Federation. …”
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Non-invasive evaluation of epidermal growth factor receptor expression in gastric cancer animal models using 124I-labeled antibody and antibody fragment by CHAI Liming, YAO Xiaolong, NA Renhua, YAN Wei, JIANG Mingzheng, SUN Canwen, DAI Zeqiang, ZHU Haixu, YANG Xiaofeng

“…Cetuximab was fragmented by enzymatic cleavage to produce Cet-F(ab')2 and Cet-Fab, which were then conjugated with CY3 NHS ester to obtain CY3-Cetuximab, CY3-Cet-F(ab')2, and CY3-Cet-Fab for cell fluorescence experiments to verify their affinity. Three 124I-labeled molecular probes, namely 124I-Cetuximab, 124I-Cet-F(ab')2, and 124I-Cet-Fab, were prepared using the Iodogen method. …”
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