Modulation of Gut Microbiota by Cacao: Insights from an In Vitro Model by Jinshil Kim, Sunil Jung, Gyungcheon Kim, Jinwoo Kim, Bokyung Son, Hakdong Shin

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Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model by Mobeen Shahroz, Mudasir Ali, Alishba Tahir, Henry Fabian Gongora, Carlos Uc Rios, Md Abdus Samad, Imran Ashraf

“…Wafer mappings (WM) help diagnose low-yield issues in semiconductor production by offering vital information about process anomalies. …”
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Code security of mobile backup modules on the Android platform by Jiao LIANG, Wu LIU, Wei-li HAN, Xiao-yang WANG, Si-yu GAN, Shuo SHEN

“…Since more and more third-party Android applications integrate backup services, the security issues of mobile backup modules are critical. By studying how widely these backup services were being used in the Android applications, the differences of code security about four mainstream Android backup SDK were investigated. …”
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Remote Sensing Image Scene Classification Based on Mutual Learning With Complementary Multi-Features by Anzhi Chen, Mengyang Xu

“…In addition, a Swin transformer module (STM) is employed to extract global image features. …”
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Pressure Modulation Improves Locomotion of an Expanding Robot for Colonoscopy by Dinkel Johanna, Weinmann Denise, Pott Peter P., Schäfer Max B.

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Analysis of Dynamic Performance of Magnetic Field Modulated Gear by Liu Meijun, Bao Guangqing, Hou Chenchen, Zuo Zhengpu, Liu Mingmin

“…The magnetic field modulated gear is a new technology,compared with the traditional mechanical gear,it can effectively avoid vibration,noise,lubrication and other issues. …”
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The Hippo signaling pathway modulates pancreatic tissue homeostasis by Xiaoyan Wang, Jiajing Du, Haiyun Li, Zhiwei Cao, Zhonghua Cheng, Zuoyun Wang

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Efficient Small Object Detection You Only Look Once: A Small Object Detection Algorithm for Aerial Images by Jie Luo, Zhicheng Liu, Yibo Wang, Ao Tang, Huahong Zuo, Ping Han

“…Firstly, we propose that the Reparameterized Multi-scale Inverted Blocks (RepNIBMS) module is implemented to replace the C2f module of the Yolov8n backbone extraction network to enhance the information extraction capability of small objects. …”
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Improving students' martial arts skills and fitness through an innovative e-module by Nova Risma, Syahrial Bakhtiar, Umar, Fiky Zarya

“… The aim of this study was to develop the Physical Education, Sports, and Health module by incorporating pencak silat material along with physical fitness activities to enhance the physical fitness of seventh-grade students. …”
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An Improved Nonlinear Five-Point Model for Photovoltaic Modules by Sakaros Bogning Dongue, Donatien Njomo, Lessly Ebengai

“…This paper presents an improved nonlinear five-point model capable of analytically describing the electrical behaviors of a photovoltaic module for each generic operating condition of temperature and solar irradiance. …”
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Fourier-modulated CLIP for zero-shot vehicle counting by Yunpeng Luo, Qin Zhang, Jiawei Luo, Shixin Huang, Xiaoyu Wan, Xixi Nie

“…Although large vision-language models have achieved significant progress in zero-shot text-image matching, adapting them for vehicle counting remains a challenging task. To tackle this issue, we propose FCLIP-VC, a Fourier-modulated Contrastive Language-image Pre-training (CLIP) for zero-shot vehicle counting. …”
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Monoglyceride supplementation modulates microbiom of small intestine in piglets by A. V. Gavrylenko, D. M. Masiuk

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Finnish translation and linguistic validation of the FACE-Q Head and Neck Cancer Module by Lotta Varakas, Ian Barner-Rasmussen, Aaro Haapaniemi, Andrew Lindford, Patrik Lassus, Pauliina Homsy

“…They completed the translated module and provided feedback on any linguistic issues. …”
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A Python Module for Implementing Cointegration Tests with Multiple Endogenous Structural Breaks by Abdulnasser Hatemi-J, Alan Mustafa

“…Allowing for structural breaks in the estimations is a pertinent issue within this context. The purpose of this paper is to provide a consumer-friendly module that is created in Python for implementing three residuals-based cointegration tests with two unknown regime shifts. …”
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Evaluating the Usability and Engagement of a Gamified, Desktop, Virtual Art Appreciation Module by Sitong Li, Nurfaradilla Mohamad Nasri, Helmi Norman

“…Traditional art appreciation instruction relies heavily on textbooks, slides, or videos, limiting student engagement and immersion. To address this issue, this study proposes a desktop VR (GDVR) art appreciation module based on a gamification approach. …”
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State Identification of Charging Module Based on SN‐EMD‐SSEE and DBO‐HKELM by Bingyu Li, Xianhai Pang, Xuhao Du, Ziwen Cai

“…To address this issue, this paper improved a new state identification method of charging module based on signal normalization (SN) which is specially designed, empirical mode decomposition (EMD), sequence signal entropy extraction (SSEE), hybrid kernel extreme learning machine (HKELM), and dung beetle optimization (DBO). …”
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HEART FAILURE AND DIABETES MELLITUS: SELECTED ISSUES OF ETIOLOGY AND PATHOGENESIS, PROGNOSIS AND TREATMENT by B. U. Mardanov, M. N. Korneeva, E. B. Akhmedova

“…This review is devoted to the study of issues relating to the features of associated course of chronic heart failure (CHF) and diabetes mellitus (DM). …”
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ParaU-Net: An improved UNet parallel coding network for lung nodule segmentation by Yingqi Lu, Xiangsuo Fan, Jinfeng Wang, Shaojun Chen, Jie Meng

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Glioblastoma Tumor Microenvironment: An Important Modulator for Tumoral Progression and Therapy Resistance by Ligia Gabriela Tataranu, Serban Turliuc, Amira Kamel, Radu Eugen Rizea, Anica Dricu, Georgiana-Adeline Staicu, Stefania Carina Baloi, Silvia Mara Baez Rodriguez, Andrada Ioana Maria Manole

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GLI-Net: A global and local interaction network for accurate classification of gastrointestinal diseases in endoscopic images by Yuansen Zhang, Mengxiao Zhuang, Wenjun Chen, Xiaoqiu Wu, Qingqing Song

“…The GLI-Net consists of four main components: a Global Branch Module (GB) designed to extract global image features, a Local Branch Module (LB) focused on capturing detailed lesion features, an Information Exchange Module (LEM) that facilitates bidirectional information exchange and fusion between the global and local features, and an Adaptive Feature Fusion and Enhancement Module (AFE) aimed at optimizing the fused features. …”
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