Benchmarking the pediatric quality of life (PedsQL) cancer module in a large Dutch national cohort of childhood cancer patients by Elin Irestorm, Anne Bakker, Wim J. E. Tissing, Heleen Maurice-Stam, Natasja Dors, Annelies Mavinkurve-Groothuis, Sabine L. A. Plasschaert, Kelly L. A. van Bindsbergen, Martha A. Grootenhuis, Raphaele R. L. van Litsenburg

“…The development of a PedsQL Cancer Module benchmark, based on a large population of pediatric cancer patients, may benefit future research by providing insight into issues children encounter during treatment or clinical trials. …”
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Development of guided discovery-based mathematics learning tools to enhance problem-solving skills in high school students by Wina Friliza Putri, Edwin Musdi

“…Background: Many students struggle with solving mathematical problems, which prevents them from achieving learning goals. To address this issue, this study develops learning tools designed to improve these skills. …”
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An AI-Enabled Framework for <i>Cacopsylla chinensis</i> Monitoring and Population Dynamics Prediction by Ruijun Jing, Deyan Peng, Jingtong Xu, Zhengjie Zhao, Xinyi Yang, Yihai Yu, Liu Yang, Ruiyan Ma, Zhiguo Zhao

“…The issue of pesticide and chemical residue in food has drawn increasing public attention, making effective control of plant pests and diseases a critical research focus in agriculture. …”
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REU-Net: A Remote Sensing Image Building Segmentation Network Based on Residual Structure and the Edge Enhancement Attention Module by Tianen Yuan, Bo Hu

“…The network replaces traditional convolutional blocks in U-Net with Residual Structures, deepening the network and alleviating the issue of vanishing gradients. Additionally, it substitutes the direct skip connections with two Edge Enhancement Attention Modules (EEAMs), enhancing the network’s ability to extract building edge information. …”
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Spiritual Formation and Character Education: A Module Development for Christian Sunday School Children Based on Galatians 5:22–23 by Eudia Anggelia Ika Agustin, Hana Suparti, Muner Daliman

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Development of the Model of Diagnostics of Design-Technological Thinking in Secondary School Students in the Subject of Labor (Technology) in the Module “Robotics and Automated Sys... by Yakov M. Mashukov

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Attention-aware upsampling-downsampling network for autonomous vehicle vision-based multitask perception by Chongjun Liu, Haobo Zuo, Jianjun Yao, Yuchen Li, Frank Jiang

“…Additionally, the multi-scale attention downsampling module (MAD) is designed to reinforce the semantic understanding of low-level features by emphasizing relevant spatial dfigureetails. …”
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<i>Areca catechu</i> L. Extract Inhibits Colorectal Cancer Tumor Growth by Modulating Cell Apoptosis and Autophagy by Meng-Hsiu Tsai, Chang-Han Chen, Chien-Lin Chen, Mei-Hsien Lee, Li-Ching Wu, Yi-Chiung Hsu, Chao-Yang Hsiao, Chang-Ti Lee, Kuo-Li Pi, Li-Jen Su

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Mitigating voltage quality issues in Sawla Substation, Ethiopia: A dynamic voltage restorer controlled by neural networks and fuzzy logic by Balakumar Subramanian, Alazar Demamu, Andinet Anjamo, Muluneh Lemma, Yalisho Girma

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Investigations of key issues on the reproducibility of high-Tc superconductivity emerging from compressed La3Ni2O7 by Yazhou Zhou, Jing Guo, Shu Cai, Hualei Sun, Chengyu Li, Jinyu Zhao, Pengyu Wang, Jinyu Han, Xintian Chen, Yongjin Chen, Qi Wu, Yang Ding, Tao Xiang, Ho-kwang Mao, Liling Sun

“…Our results provide not only new insights into the puzzling issues regarding this material, but also significant information that will enable a better understanding of its superconductivity.…”
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Potential of Non-Dairy Probiotic Beverages to Modulate Gut Microbiota and Improve Management of Non-Communicable Diseases by Laverdure Tchamani Piame

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How diffusivity, thermocline and incident light intensity modulate the dynamics of deep chlorophyll maximum in Tyrrhenian Sea. by Davide Valenti, Giovanni Denaro, Bernardo Spagnolo, Fabio Conversano, Christophe Brunet

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FORMALIZATION OF THE STAGE OF SEARCHING FOR MODULATED SIDE ELECTROMAGNETIC RADIATIONS AND INTERFERENCES IN THE PROCESS OF MODELING THE FUNCTION OF INTERCEPTING THESE SIGNALS by Aleksey A. Petlevanny, Tatyana V. Meshcheryakova, Aleksandr I. Boronenkov, Vadim I. Spivak, Varvara A. Vladychenskaia

“…Mathematical expressions are given to determine the time characteristics of tasks solved in the process of searching for electromagnetic side effects and interference signals modulated by informative signals of the main technical means and systems.…”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…However, when processing surface electromyography data, current deep learning models still face challenges, such as insufficient effective feature extraction, poor performance in multi-gesture recognition, and low accuracy in recognizing sparse surface electromyography.MethodsTo address these issues, this study proposed a multi-stream adaptive convolutional neural networks with residual modules (MSACNN-RM) for surface electromyography gesture recognition, which integrates multiple streams of convolutional neural networks, adaptive convolutional neural networks, and residual modules to enhance the model’s feature extraction and learning capabilities. …”
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Improvement on Direct Modulation Responses and Stability by Partially Corrugated Gratings Based DFB Lasers With Passive Feedback by Siti Sulikhah, San Liang Lee, Hen Wai Tsao

“…DFB lasers with ultrashort cavities or integrated DFB lasers with passive waveguide reflectors are frequently proposed to realize directly modulated lasers (DMLs) for carrying ultrahigh data rate signals. …”
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Hybrid deep learning framework for robust time-series classification: Integrating inception modules with residual networks by Duong Thi Kim Chi, Nguyen Thi Mai Trang, Tran Ba Minh Son, Nguyen Ngoc Thao, Thanh Q. Nguyen

“…By replacing the fully convolutional network (FCN) shortcut module in InceptionFCN with ResNet-50, the model gains deeper representational capacity and improved gradient flow during training. …”
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Individual Differences in Global Cognition Modulate the Effect of Motor-Relatedness on Object Naming in Healthy Older Adults by Yang Xiao, Yanping Dong

“…However, it remains unclear whether this motor-relatedness effect can reduce older adults’ object naming latency (a potentially more sensitive measure of word retrieval than accuracy) and how it may be modulated by individual differences (e.g., age and global cognition). …”
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Modulating autism spectrum disorder pathophysiology using a trace amine-focused approach: targeting the gut by L. Pretorius, J. A. Coetzee, A. P. dos Santos, C. Smith

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Moderate P Fertilizer Promotes Cucumber Yields and Modulates Bacterial Community in the Wheat Cover Crop System by Kunpeng Cao, Linlin Zhang, Asad Ullah, Musawar Ibrahim, Yu Zhang, Danmei Gao, Xingang Zhou, Fengzhi Wu, Shouwei Liu

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Implementation of a sensory modulation intervention in mental health outpatient services: a process evaluation study by Klara Forsberg, Daniel Sutton, Sigrid Stjernswärd, Ulrika Bejerholm, Elisabeth Argentzell

“…However, managers’ and staff reflections also highlighted the need for an adapted manual for people with cognitive issues and more education for staff. Conclusions This study contributed to new knowledge of implementing a recovery-oriented sensory modulation intervention in mental health outpatient services. …”
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