The PavMYB.C2-UFGT module contributes to fruit coloration via modulating anthocyanin biosynthesis in sweet cherry. by Yangang Pei, Wanjia Tang, Yidi Huang, Hongfen Li, Xiaowei Liu, Hongxu Chen, Runmei He, Wenyi Niu, Quanyan Du, Yizhe Chu, Heng Deng, Mingchun Liu, Ronggao Gong

“…Functional validation through overexpression and silencing of PavMYB.C2 in cherry fruit confirmed its essential role in regulating both total anthocyanin and cyanidin-3-glucoside (Cy3G) levels. …”
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PhyloString: A web server designed to identify, visualize, and evaluate functional relationships between orthologous protein groups across different phylogenetic lineages. by Claudia Dorantes-Torres, Maricela Carrera-Reyna, Walter Santos, Rosana Sánchez-López, Enrique Merino

“…This study presents and thoroughly discusses examples of such functional networks and their modules identified using PhyloString.…”
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Inclusion Relations between α-Modulation Spaces and Triebel–Lizorkin Spaces by Mohammad Ali, Hasan Baddour, Boushra Darrag

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Modulated-Diameter Zirconia Nanotubes for Controlled Drug Release—Bye to the Burst by Gabriel Onyenso, Swathi Naidu Vakamulla Raghu, Patrick Hartwich, Manuela Sonja Killian

“…The performance of an orthopedic procedure depends on several tandem functionalities. Such characteristics include materials’ surface properties and subsequent responses. …”
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Lightweight Small Target Detection Algorithm Based on YOLOv8 Network Improvement by Xiaoyi Hao, Ting Li

“…The innovation of SFD-YOLOv8 is characterised by its incorporation of several pioneering modules, including the Dilation-wise Residual (DWR) attention module and the FasterBlock module. …”
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Trust evaluation model for distributed home photovoltaic collection scenarios in new power system by Li LI, Xiaolong WANG, Zhixin ZHANG, Rongliang SHI, Xu GUO

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A single flow detection enabled method for DDoS attacks in IoT based on traffic feature reconstruction and mapping by Lixia XIE, Bingdi YUAN, Hongyu YANG, Ze HU, Xiang CHENG, Liang ZHANG

“…To address the slow response time of existing detection modules to Internet of things (IoT) distributed denial of service (DDoS) attacks, their low feature differentiation, and poor detection performance, a single flow detection enabled method based on traffic feature reconstruction and mapping (SFDTFRM) was proposed.Firstly, SFDTFRM employed a queue to store previously arrived flow based on the first in, first out rule.Secondly, to address the issue of similarity between normal communication traffic of IoT devices and DDoS attack traffic, a multidimensional reconstruction neural network model more lightweight compared to the baseline model and a function mapping method were proposed.The modified model loss function was utilized to reconstruct the quantitative feature matrix of the queue according to the corresponding index, and transformed into a mapping feature matrix through the function mapping method, enhancing the differences between different types of traffic, including normal communication traffic of IoT devices and DDoS attack traffic.Finally, the frequency information was extracted using a text convolutional network and information entropy calculation and the machine learning classifier was employed for DDoS attack traffic detection.The experimental results on two benchmark datasets show that SFDTFRM can effectively detect different DDoS attacks, and the average metrics value of SFDTFRM is a maximum of 12.01% higher than other existing methods.…”
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Photonic–Electronic Modulated a-IGZO Synaptic Transistor with High Linearity Conductance Modulation and Energy-Efficient Multimodal Learning by Zhidong Hou, Jinrong Shen, Yiming Zhong, Dongping Wu

“…The device demonstrates biological synaptic functionalities, including excitatory/inhibitory post-synaptic currents (EPSCs/IPSCs) and spike-timing-dependent plasticity, while achieving excellent conductance modulation characteristics (nonlinearity of 0.0095/−0.0115 and asymmetric ratio of 0.247) and successfully implementing Pavlovian associative learning paradigms. …”
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Practical Aspects of Biogenic Amines Detection by Petru Epure, Ana-Maria Gurban, Lucian-Gabriel Zamfir

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The development and excretion of Toxoplasma gondii oocyst manipulate the gut microbiota in its definitive host by Gui-Hua Zhao, Bei-Bei Zhou, Zhi-Heng Cao, Ting Xiao, Ya-Nan Li, Wen-Ju Zhu, Hang Sun, Huan-Huan Xie, Xiao-Man Xie, Jun-Mei Zhang, Qi Wang, Xin Zhang, Jin-Jing Xie, Hong-Jie Dong, Chao Xu, Kun Yin

“…Methods In this study, shotgun metagenomics was employed to characterize the functional and compositional changes in the gut microbiota of cats during oocyst development. …”
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EEG-Based Micro-Expression Recognition: Flexible Brain Network Reconfiguration Supporting Micro-Expressions Under Positive Emotion by Chen J, Zhao X, Xiong Z, Liu G

“…In functional network modules, micro-expressions enhanced connectivity between the bilateral superior frontal gyrus (SFG), anterior cingulate cortex, and ventromedial prefrontal cortex (cognitive control), as well as between the left orbitofrontal cortex (OFC), temporal pole (TP), and inferior frontal gyrus (emotional processing). …”
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Enhancing Focus and Short Reaction Time in Épée Fencing: The Power of the Science Vision Training Academy System by Giulia Di Martino, Stefano Giommoni, Fosco Esposito, Davide Alessandro, Carlo della Valle, Enzo Iuliano, Giovanni Fiorilli, Giuseppe Calcagno, Alessandra di Cagno

“…<b>Background:</b> This study aimed to evaluate the effects of a six-week visual training protocol, based on the Science Vision Training Academy (SVTA) method, on reaction times and executive functions in high-ranking fencers. <b>Methods:</b> Twenty-seven fencers, aged 17.34 ± 3.63 years, were randomly assigned to an experimental Visual Training Group (VTG = 16) and a Control Group (CG = 11). …”
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Experimental Study on Distributed Measurement of Internal Pressure in Lithium-Ion Batteries Using Thin-Film Sensors by Qingyun Liu, Xiuwu Wang, Jiangong Zhu, Guiwen Jiang, Xuezhe Wei, Haifeng Dai

“…Addressing the application needs of electric vehicle power batteries, this study integrates thin-film pressure sensors into LIBs through the integrated functional electrode (IFE), enabling distributed in situ monitoring of internal pressure during long-term cycling. …”
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Robotic arm target detection algorithm combined with deep learning by ZHANG Lei, ZHANG Wang, YUAN Yuan

“…First, the ShfflenetV2 module was integrated into the YOLOv5 backbone network to replace the original focus module and cross-level local dark grid network to achieve lightweight network. …”
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Roles of the gut microbiota in human neurodevelopment and adult brain disorders by Rahul Mallick, Sanjay Basak, Ranjit K. Das, Antara Banerjee, Sujay Paul, Surajit Pathak, Asim K. Duttaroy

“…Gut dysbiosis can lead to impaired brain development, growth, and function. Docosahexaenoic acid (DHA) is critically required for brain structure and function, modulates gut microbiota, and impacts brain activity. …”
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A Lightweight Greenhouse Tomato Fruit Identification Method Based on Improved YOLOv11n by Xingyu Gao, Fengyu Li, Jun Yan, Qinyou Sun, Xianyong Meng, Pingzeng Liu

“…Finally, the Wise–Powerful intersection over Union (Wise-PIoU) loss function is employed to optimise the model accuracy, and the effectiveness of each improvement module is verified by means of ablation experiments. …”
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Hepcidin as a Therapeutic Target in Liver Cirrhosis: A Cohort Study on Iron Dysregulation by Arsalan Ahmed Uqaili, Adil Hassan Chang, Muhammad Amjad Kalhoro, Osama Ahmed, Mashooque Ali Samejo, Muhammad Sadik Memon, Ejaz Ahmed

“…This study investigated how Hepcidin modulation affects iron accumulation and liver function alongside cirrhosis complications among liver cirrhosis patients. …”
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Spectral Method of Identification of Peltier Thermoelectric Elements Based on Piecewise Linear Approximation by Gleb Vasilyev, Oleg Kuzichkin, Dmitry Surzhik, Aleksandr Koskin

“…The design of thermoelectric devices and systems in transient modes requires identifying their dynamic models, first of all, the control object â the Peltier thermoelectric module. As a rule, well-known identification techniques involve calculating the parameters of a fractional-rational transfer function (or, equivalently, an autoregressive model) of the object of control. …”
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Optimizing photovoltaic parameters with Monte Carlo and parallel resistance adjustment by Fatima Wardi, Mohamed Louzazni, Mohamed Hanine, Elhadi Baghaz, Sanjeevikumar Padmanaban

“…In addition, the restricted objective function is computed using the experimental current–voltage curve. …”
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Identification of key genes associated with cellular aging and mitochondria in acute myocardial infarction by Dehong Chen, Lingling Yao, Ke Mo, Linan Li, Zhiheng Liu, Zhengyuan Xia, Hanlin Ding

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