U-Net-based VGG19 model for improved facial expression recognition by Xiaohu ZHAO, Jingyi ZHANG, Mingzhi JIAO, Lixun XIE, Lanfei WANG, Weiqing SUN, Di ZHANG

“…The innovation of the SEAttention module lies in replacing the original activation function with the Mish activation function, which can dynamically adjust the weights of different channels to enhance performance. …”
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Short-Term Fertilization with the Nitrogen-Fixing Bacterium (NFB) <i>Kosakonia radicincitans</i> GXGL-4A Agent Can Modify the Transcriptome Expression Profiling of Cucumber (<i>Cuc... by Baoyun Feng, Erxing Wang, Yating Zhang, Lurong Xu, Yanwen Xue, Yunpeng Chen

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A Hidden Pulse: Uncovering a New Timing Signal in Cygnus X-1 with AstroSat by Sandeep K. Rout, Federico García, Mariano Méndez, Abhay Kumar, Santosh Vadawale, David M. Russell, Pei Jin

“…In this work, we study the evolution of the timing properties of Cygnus X-1 with AstroSat/LAXPC, during the transition of the source from the hard to soft state in 2017. We use a novel frequency-segmented technique to fit simultaneously the cross spectra and parts of the power spectra and coherence function with a multi-Lorentzian model and predict the phase lags and the complementary parts of the power spectra and coherence function. …”
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Diverse ancestral representation improves genetic intolerance metrics by Alexander L. Han, Chloe F. Sands, Dorota Matelska, Jessica C. Butts, Vida Ravanmehr, Fengyuan Hu, Esmeralda Villavicencio Gonzalez, Nicholas Katsanis, Carlos D. Bustamante, Quanli Wang, Slavé Petrovski, Dimitrios Vitsios, Ryan S. Dhindsa

“…These findings highlight the need for enhanced population representation in genomic resources to fully realize the potential of precision medicine and drug discovery. …”
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From the WHO framework to integrated senior health and wellness hub program: an implementation journey by Xiaoting Huang, Xiaoting Huang, Hao Yi Tan, Hao Yi Tan, Hao Yi Tan, Pei Ling Er, Amber Wong, Si Qi Lim, Joshua Kuan Tan, Wan Qi Yee, Xiaohui Xin, Lian Leng Low

“…IntroductionAs global populations age, ensuring older adults maintain functional ability and wellbeing is a critical public health priority. …”
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DistB-Condo: Distributed Blockchain-Based IoT-SDN Model for Smart Condominium by Anichur Rahman, Md. Jahidul Islam, Ziaur Rahman, Md. Mahfuz Reza, Adnan Anwar, M. A. Parvez Mahmud, Mostofa Kamal Nasir, Rafidah Md. Noor

“…Condominium network refers to intra-organization networks, where smart buildings or apartments are connected and share resources over the network. Secured communication platform or channel has been highlighted as a key requirement for a reliable condominium which can be ensured by the utilization of the advanced techniques and platforms like Software-Defined Network (SDN), Network Function Virtualization (NFV) and Blockchain (BC). …”
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Chronic Stress protection for postnatal dEpREssioN prEvention (SERENE): a protocol for an exploratory study by Frederic Dutheil, Dahlia Tharwat, Marion Trousselard, Mélanie Balès, Anne-Laure Sutter-Dallay, Dominique Fromage, Elisabeth Spitz, Dominique Dallay, Thierry Harvey, Eric Welter, Frédéric Coatleven, Lydie Cherier, Frédérique Teissèdre, Jean-Luc Pouly, Anaïs M Duffaud

“…This psychological resource is linked to protective and resilient psychic functioning. …”
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Direct-fed microbials optimize ruminal fermentation, microbial ecosystem and milk quality to enhance the lactation performance of Sanhe dairy cows by Aoyu Jiang, Zixin Liu, Ziyan Yang, Shizhe Zhang, Jian Wu, Chuanshe Zhou, Zhiliang Tan

“…Dairy cows are the most important source of milk production, with billions of microorganisms present in the rumen. …”
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Frontotemporal lobar degeneration changes neuronal beta-frequency dynamics during the mismatch negativity response by Alistair Perry, Laura E. Hughes, Natalie E. Adams, Michelle Naessens, Niels A. Kloosterman, Matthew A. Rouse, Alexander G. Murley, Duncan Street, P. Simon Jones, James B. Rowe

“…Across bvFTD and PSP groups, the beta response to deviant stimuli (relative to standard stimuli) correlated with clinical severity, but not with atrophy of the prefrontal source region. These findings confirm the proposed importance of higher-order cortical regions, and their beta-power generators, in sensory change detection and context-updating during oddball paradigms. …”
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Preparation of PET matrix gradient composite fiber membrane for coal mine and Study on the dust filtration-moisture permeability by Gang ZHOU, Zhuo XU, Liwei JIANG, Guanshuang CHEN, Yunlong MA, Rulin LIU, Yongmei WANG

“…Moreover, the distribution of surface elements and functional groups of each fiber membrane was consistent with its feature. …”
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Identification of single nucleotide polymorphisms (SNPs) potentially associated with residual feed intake in Qinchuan beef cattle by hypothalamus and duodenum RNA-Seq data by Zonghua Su, Chenglong Li, Chaoyun Yang, YanLing Ding, Xiaonan Zhou, Junjie Xu, Chang Qu, Yuangang Shi, Cong-Jun Li, Xiaolong Kang

“…RNA-Seq data contain an extensive resource of untapped SNPs. Therefore, hypothalamic and duodenal tissues from ten extreme RFI individuals were collected, and transcriptome sequenced in this study. …”
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Development of a clinical decision support tool for Primary care Management of lower Urinary tract Symptoms in men: the PriMUS study by Adrian Edwards, Ridhi Agarwal, Janine Bates, Alison Bray, Sarah Milosevic, Emma Thomas-Jones, Michael Drinnan, Marcus Drake, Peter Michell, Bethan Pell, Haroon Ahmed, Natalie Joseph-Williams, Kerenza Hood, Yemisi Takwoingi, Chris Harding

“…Key outcomes that determine overall resource use are medical management (treatments and consultation time) and referral rates. …”
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Overcoming Stagnation in Metaheuristic Algorithms with MsMA’s Adaptive Meta-Level Partitioning by Matej Črepinšek, Marjan Mernik, Miloš Beković, Matej Pintarič, Matej Moravec, Miha Ravber

“…This study introduces <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>M</mi><mi>s</mi><mi>M</mi><mi>A</mi></mrow></semantics></math></inline-formula>, a novel meta-level strategy that externally monitors MAs to detect stagnation and adaptively partitions computational resources. …”
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Assessing the impact of diet formulation and age on targeted bacterial establishment in laboratory and mass-reared Mediterranean fruit fly using full-length 16S rRNA sequencing by Charles J. Mason, Rosalie C. Nelson, Mikinley Weaver, Tyler J. Simmonds, Scott M. Geib, Ikkei Shikano

“…The target bacterial isolate was detected in medfly when inoculated with liquid diet regardless of age, but those fed a slurry-based diet and a separate water source had less establishment. …”
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IT: An interpretable transformer model for Alzheimer's disease prediction based on PET/MR images by Zhaomin Yao, Weiming Xie, Jiaming Chen, Ying Zhan, Xiaodan Wu, Yingxin Dai, Yusong Pei, Zhiguo Wang, Guoxu Zhang

“…These insights significantly bolster the arsenal of tools available for AD diagnostics and contribute to the broader narrative of deciphering brain functionality through state-of-the-art imaging modalities.…”
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3D printing-biomimetic local stiff niche enhances glycolysis to boost PDAC cell stem-like phenotype via N6-methyladenosine-suppressed YAP1 mRNA decay by Di Wu, Xiaoqi Guan, Tao Yang, Jiashuai Yan, Biwen Zhu, Junchao Zhou, Yibing Guo, Yuhua Lu

“…Cancer stem cells (CSCs), the primary source of therapy resistance in pancreatic ductal adenocarcinoma (PDAC), exist in a dynamic equilibrium through tumor microenvironment (TME)-driven plasticity. …”
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Quality evaluation of Polygonatum sibiricum slices from different regions based on appearance traits and multi-index metabolites combined with TOPSIS and gray relation analysis by Cheng Wang, Cheng Wang, Ju Ye, Sisi Jiang, Sisi Jiang, Xuguang He, Xuguang He, Min Ma, Min Ma, Li Yin

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A lightweight transformer based multi task learning model with dynamic weight allocation for improved vulnerability prediction by Lan Liu, Zhanfa Hui, Guiming Chen, Tingfeng Cai, Chiyu Zhou

“…Traditional methods, such as single-task learning and ensemble approaches, often struggle with these challenges, particularly in detecting rare but critical vulnerabilities. To address this, we propose the MTLPT: Multi-Task Learning with Position Encoding and Lightweight Transformer for Vulnerability Prediction, a novel multi-task learning framework that leverages custom lightweight Transformer blocks and position encoding layers to effectively capture long-range dependencies and complex patterns in source code. …”
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A data driven approach using local measurements to locate turbine governors causing forced oscillations by Sigurd Hofsmo Jakobsen, Xavier Bombois, Santiago Sanchez Acevedo, Hallvar Haugdal, Salvatore D’Arco

“…When forced oscillations are detected, they are located by finding the transfer functions that describe the behaviour of the corresponding plant the worst. …”
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Urinary Albumin-to-Creatinine Ratio (uACR) Point-of-Care (POC) Device with Seamless Data Transmission for Monitoring the Progression of Chronic Kidney Disease by Artitaya Thiengsusuk, Napaporn Youngvises, Runtikan Pochairach, Rehab Osman Taha, Kridsada Sirisabhabhorn, Nadda Muhamad, Wanchai Meesiri, Wanna Chaijaroenkul, Kesara Na-Bangchang

“…Its portability and cost-effectiveness make it particularly suitable for use in low-resource environments. Additionally, integrating uACR with eGFR enhances prognostic capabilities, offering a comprehensive approach to assessing kidney function and predicting CKD progression.…”
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