The m6A Methylation Profile Identified That <i>OsHMT9.1</i> Deregulates Chromium Toxicity in Rice (<i>Oryza sativa</i> L.) Through Negative Regulatory Functions by Yushan Hou, Xuejiao Kong, Jingwen Li, Changsheng Liu, Shuo Wang, Shupeng Xie, Jingguo Wang, Hualong Liu, Lei Lei, Hongliang Zheng, Wei Xin, Detang Zou, Zhonghua Wei, Luomiao Yang

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Targeted Isolation of ω-3 Polyunsaturated Fatty Acids from the Marine Dinoflagellate <i>Prorocentrum lima</i> Using DeepSAT and LC-MS/MS and Their High Activity in Promoting Microg... by Chang-Rong Lai, Meng-Xing Jiang, Dan-Mei Tian, Wei Lu, Bin Wu, Jin-Shan Tang, Yi Zou, Song-Hui Lv, Xin-Sheng Yao

“…Collectively, our study suggests that FA18:4 (<b>7</b>) modulates microglial function in vitro, indicating its potential to exert neuroprotective effects.…”
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A 4&#x2013;40 V Input Floating&#x2013;Ground GaN-Based Buck&#x2013;Boost Converter With Pre-Charge Function for Enhanced Power Efficiency by Weizhong Chen, Lei Chen, Ping Gui

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Genome‐wide profiling of N6‐methyladenosine‐modified pseudogene‐derived long noncoding RNAs reveals the tumour‐promoting and innate immune‐restraining function of RPS15AP12 in ovar... by Jie Xu, Yifei Ren, Jiayi Lu, Fengjiang Qin, Dan Yang, Chunyan Tang, Yu Yang, Jing Xu, Tao Liu, Ping Yi

“…Technological advancements have facilitated the functional characterization of increasing pseudogenes in cancer progression. …”
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An object detection method in foggy weather based on novel feature enhancement and fusion by ZHU Lei, ZHAO Han, WANG Weili

“…This loss function reduced the training loss and convergence time, thereby improved the recognition rate of foggy object by the network. …”
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Robust Model Predictive Control for AFE-Inverter Drives With Common Mode Voltage Elimination by S.M. Muslem Uddin, Galina Mirzaeva, Graham C. Goodwin

“…The main feature of the proposed MPC is elimination of Common Mode Voltage (CMV) without imposing a penalty on the corresponding term in the cost function, but rather by a smart utilisation of the restricted set of switching states in a computationally efficient algorithm. …”
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DSNET: A Lightweight Segmentation Model for Segmentation of Skin Cancer Lesion Regions by Yucong Chen, Guang Yang, Xiaohua Dong, Junying Zeng, Chuanbo Qin

“…Furthermore, we propose a boundary-interior correction loss function that focuses on both the boundary and the interior of the region, which effectively solves the dermatosis segmentation task for problems such as boundary blurring and interior missing. …”
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ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling by Xin Mao, Ying Liu, Chenghao Qiu, Cong Lin

“…To better preserve the texture details of the image, an edge correction function is designed, incorporating edge correction terms and regularization terms into the traditional mean squared error loss function, thereby effectively improving the performance of the denoising results in edge regions. …”
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Blind equalization algorithm based on complex support vector regression by Ling YANG, Liang CHEN, Bin ZHAO, Guolong ZHANG, Yuan LI

“…A new blind equalization algorithm for complex valued signals was proposed based on the framework of complex support vector regression(CSVR).In the proposed algorithm,the error function of multi-modulus algorithm (MMA) was substituted into CSVR to construct the cost function,and the regression relationship was established by widely linear estimation,and the equalizer coefficients were determined by the iterative re-weighted least square (IRWLS) method.Different from spliting the complex valued signals into real valued signals used in support vector regression,the Wirtinger’s calculus was used in complex support vector regression to analyze the complex signals directly in the complex regenerative kernel Hilbert space.Simulation experiments show that for QPSK modulated signals,compared with the blind equalization algorithm based on support vector regression,the equalization performance of the proposed algorithm is significantly improved in linear channel and nonlinear channel by choosing appropriate kernel function and iterative optimization method.…”
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Computer graphics processing technology based on GIS model and its application by Quanpeng Ji

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Biomolecules Interacting with Long Noncoding RNAs by Hidenori Tani

“…This review explores the complex interactions between long noncoding RNAs (lncRNAs) and other biomolecules, highlighting their pivotal roles in gene regulation and cellular function. LncRNAs, defined as RNA transcripts exceeding 200 nucleotides without encoding proteins, are involved in diverse biological processes, from embryogenesis to pathogenesis. …”
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Metal surface defect detection using SLF-YOLO enhanced YOLOv8 model by Yuan Liu, Yilong Liu, Xiaoyan Guo, Xi Ling, Qingyi Geng

“…Additionally, an improved FIMetal-IoU loss function is introduced to boost generalization performance, particularly for fine-grained and small-target defects. …”
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Arbitrary Random Variables and Wiman’s Inequality by Andriy Kuryliak, Oleh Skaskiv, Andriy Bandura

“…We study the class of random entire functions given by power series, in which the coefficients are formed as the product of an arbitrary sequence of complex numbers and two sequences of random variables. …”
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Colony-YOLO: A Lightweight Micro-Colony Detection Network Based on Improved YOLOv8n by Meihua Wang, Junhui Luo, Kai Lin, Yuankai Chen, Xinpeng Huang, Jiping Liu, Anbang Wang, Deqin Xiao

“…Furthermore, the Shape-IoU loss function is implemented to prioritize geometric consistency between predicted and ground truth bounding boxes. …”
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Three-Dimensional Unmanned Aerial Vehicle Path Planning in Simulated Rugged Mountainous Terrain Using Improved Enhanced Snake Optimizer (IESO) by Wuke Li, Kongwen Zhang, Qi Xiong, Xiaoxiao Chen

“…Comparative simulation experiments benchmarked IESO against five state-of-the-art biologically inspired optimization algorithms across test functions and path-planning simulated scenarios. Experimental results show that compared with five commonly used algorithms, the IESO algorithm improves the quality of flight trajectory planning by nearly 30% on average. …”
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From Microbes to Metabolites: Advances in Gut Microbiome Research in Type 1 Diabetes by Lente Blok, Nordin Hanssen, Max Nieuwdorp, Elena Rampanelli

“…The gut microbiome and its metabolites play an important role in modulating immunity and autoimmunity. In recent years, studies have revealed significant alterations in the taxonomic and functional composition of the gut microbiome associated with the development of islet autoimmunity and T1D. …”
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YOLOrot2.0: A novel algorithm for high-precision rice seed size measurement with real-time processing by Jinfeng Zhao, Zeyu Hou, Qin Wang, Sheng Dai, Kaicheng Yong, Xuan Wang, Jiawen Yang, Qianlong Nie, Yan Ma, Xuehui Huang

“…Secondly, the utilization of the Kalman Filter IoU loss function, which combines the horizontal bounding box and smooth L1 loss function, accelerates the convergence speed of the network. …”
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Advances of wearable silicone rubber-based triboelectric nanogenerators: from manufacturing to application by Dianlong Shen, Taili Du, Fangyang Dong, Hu Cai, Aziz Noor, Xiannan Du, Yongjiu Zou, Chengkuo Lee, Minyi Xu

“…Moreover, with appropriate treatment, SR can achieve extreme functionalities such as high robustness, good stability, self-healing capabilities, rapid response, and more. …”
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Efficacy of Transcranial Magnetic Stimulation in Post-Stroke Motor Recovery: Impact of Impairment Severity by Guiyuan Cai, Cailing Zhang, Jiayue Xu, Junbo Jiang, Gengbin Chen, Jialin Chen, Quan Liu, Guangqing Xu, Yue Lan

“…TMS of ipsilesional M1 improves motor function in mild/moderate impairments but shows limited efficacy in severe cases. …”
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Nucleotides as conditionally essential nutrients for optimal health, performance, and product quality in laying hens: a concise review by Siphosethu R. Dibakoane, Caven M. Mnisi, Godfrey Mhlongo, Obiro C. Wokadala, Victor Mlambo

“…Dietary nucleotides (NT) are touted as potential AGP alternatives that enhance gut functionality and immune responses in birds and other animals. …”
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