Prognostic value of lymphocyte-to-monocyte ratio in acute ischemic stroke: a systematic review and meta-analysis by Chengli Tian, Chengli Tian, Yilin Yang, Yilin Yang, Jun Wan, Ran Wang, Ke Zhou, Yuanli Li, Wenlong Guo, Huijun Li, Yu Zhang

“…To investigate possible sources of variability, we conducted subgroup analyses. …”
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Linolenic acid-enriched supercritical carbon dioxide extract from seeds of Phyllanthus emblica L., a functional food with quorum quenching and anti-biofilm action, rescues Caenorha... by Acharya Balkrishna, Nem Kumar Ngpoore, Saurabh Bhatti, Yash Varshney, Manisha Kabdwal, Pardeep Nain, Rishabh Dev, Savita Lochab, Anurag Varshney

“…The study is the first comprehensive analysis, positioning PeSSO as a functional food with promising anti-microbial efficacy; and advocating the effective utilization of P. emblica seeds for their therapeutic benefits.…”
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YOLOv11-GSF: an optimized deep learning model for strawberry ripeness detection in agriculture by Haoran Ma, Qian Zhao, Runqing Zhang, Chunxu Hao, Wenhui Dong, Xiaoying Zhang, Fuzhong Li, Xiaoqin Xue, Gongqing Sun

“…To overcome these limitations, this paper introduces YOLOv11-GSF, a real-time strawberry ripeness detection algorithm based on YOLOv11, which incorporates several innovative features: a Ghost Convolution (GhostConv) convolution method for generating rich feature maps through lightweight linear transformations, thereby reducing computational overhead and enhancing resource utilization; a C3K2-SG module that combines self-moving point convolution (SMPConv) and convolutional gated linear units (CGLU) to better capture the local features of strawberry ripeness; and a F-PIoUv2 loss function inspired by Focaler IoU and PIoUv2, utilizing adaptive penalty factors and interval mapping to expedite model convergence and optimize ripeness classification. …”
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KronNet a lightweight Kronecker enhanced feed forward neural network for efficient IoT intrusion detection by Saeed Ullah, Junsheng Wu, Mian Muhammad Kamal, Abdul Khader Jilani Saudagar

“…KronNet leverages Gaussian Mixture Model (GMM)-based oversampling and a hybrid loss function combining Focal Loss and Cross-Entropy with adaptive class weighting to address class imbalance, ensuring robust detection across diverse attack types. …”
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DEBEcoMod: A dynamic energy budget R tool to predict life-history traits of marine organisms across time and space by A. Giacoletti, M. Bosch-Belmar, G. Di Bona, M.C. Mangano, B. Stechele, G. Sarà

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Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation by Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

“…To better understand the landscape, we surveyed the major preprocessing, data management, traditional machine-learning (ML), and deep learning (DL) techniques used for diagnosing AD using neuroimaging data such as structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). …”
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Efficient Virus-Induced Gene Silencing (VIGS) Method for Discovery of Resistance Genes in Soybean by Kelin Deng, Zihua Lu, Hongli Yang, Shuilian Chen, Chao Li, Dong Cao, Hongwei Wang, Qingnan Hao, Haifeng Chen, Zhihui Shan

“…Soybean (<i>Glycine max</i> L.) is a vital grain and oil crop, serving as a primary source of edible oil, plant-based protein, and livestock feed. …”
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Integrating PROSPECT-D physics and adversarial domain adaptation resnet for robust cross-ecosystem plant traits estimation by Hui Zhang, Haoxuan Su, Tie Shen, Guangyao Sun, Qi Wang

“…Plant functional traits, including chlorophyll content (CHL), equivalent water thickness (EWT), and leaf mass per area (LMA), are critical indicators for assessing ecosystem functioning, functional diversity, and their roles in the Earth system. …”
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Enhancement and evaluation for deep learning-based classification of volumetric neuroimaging with 3D-to-2D knowledge distillation by Hyemin Yoon, Do-Young Kang, Sangjin Kim

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Adsorption of Ni2+, Cu2+ and Co2+ ions on coal gangue-based porous ceramics by Xiaopeng Zhou, Xiaopeng Zhou, Yongzhen Wang, Yongzhen Wang, Renpeng Lin, Rui Zhou, Yue Ma, Yue Ma

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Economic evaluation of robot-assisted training versus an enhanced upper limb therapy programme or usual care for patients with moderate or severe upper limb functional limitation d... by Christopher Price, Jesse Dawson, Helen Rodgers, Gary Ford, Luke Vale, Scott Wilkes, David Cohen, Laura Ternent, Tracy Finch, Lisa Shaw, Richard Francis, Nina Wilson, Cristina Fernandez-Garcia, Tara Marie Homer, Helen Bosomworth, Lydia Aird, Sreeman Andole, Steven Hogg, Niall Hughes, H I Krebs, Duncan Turner, Frederike Van Wijck

“…Objective To determine whether robot-assisted training is cost-effective compared with an enhanced upper limb therapy (EULT) programme or usual care.Design Economic evaluation within a randomised controlled trial.Setting Four National Health Service (NHS) centres in the UK: Queen’s Hospital, Barking, Havering and Redbridge University Hospitals NHS Trust; Northwick Park Hospital, London Northwest Healthcare NHS Trust; Queen Elizabeth University Hospital, NHS Greater Glasgow and Clyde; and North Tyneside General Hospital, Northumbria Healthcare NHS Foundation Trust.Participants 770 participants aged 18 years or older with moderate or severe upper limb functional limitation from first-ever stroke.Interventions Participants randomised to one of three programmes provided over a 12-week period: robot-assisted training plus usual care; the EULT programme plus usual care or usual care.Main economic outcome measures Mean healthcare resource use; costs to the NHS and personal social services in 2018 pounds; utility scores based on EQ-5D-5L responses and quality-adjusted life years (QALYs). …”
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Multi-Objective Design and Optimization of Hardware-Friendly Grid-Based Sparse MIMO Arrays by Suleyman Gokhun Tanyer, Paul Dent, Murtaza Ali, Curtis Davis, Senthilkumar Rajagopal, Peter F. Driessen

“…The framework emphasizes efficient utilization of antenna resources, including strategies for minimizing inter-element mutual coupling and exploring alternative grid-based sparse array (GBSA) configurations by efficiently separating interacting elements. …”
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The candidate gene OLFML2A possibly contributed to the variation of total number of teats in Meishan and Erhualian pigs by influencing the formation of mammary placodes by C.X. Liu, R.H. Huang, W.D. Zhou, N.J. Jiang, Q. Liu, J.F. Ma, P.H. Li, Q.B. Zhao

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Habitat conditions of reef-forming corals directly affect the spatial distribution and stability in fish and macroinvertebrate communities: A case study of Mischief Reef by Peng Xu, Jianfeng Gan, Lintao Huang, Danping Xie, Feilong Li, Hui Huang

“…Nevertheless, the low functional redundancy of Lcrc indicates its relative vulnerability and poorer resistance to disturbances in the event of key functional organism loss. …”
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pH shift extraction technique for plant proteins: A promising technique for sustainable development by Zainab Sultan, Alweera Ashfaq, Kausar Jahan, Ovais Shafiq Qadri, Kaiser Younis, Owais Yousuf

“…Plant proteins offer versatile functional and dietary benefits, making them suitable for various food applications. …”
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Constrained Federated Learning for AoI-Limited SFC in UAV-Aided MEC for Smart Agriculture by Mohammad Akbari, Aisha Syed, W. Sean Kennedy, Melike Erol-Kantarci

“…Due to the computational capacity limitation of IoT devices and their limited power, UAV-aided mobile-edge computing (MEC) is proposed to provide IoT nodes with additional resources by hosting their computation functions and making smart agriculture use cases more operational. …”
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Investigation of physicochemical properties and structure of ball milling pretreated modified starch-ferulic acid complexes by Zongwei Hao, Shengjun Han, Zhongyun Zhao, Zongjun Wu, Hui Xu, Chao Li, Mingming Zheng, Yibin Zhou, Yiqun Du, Zhenyu Yu

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Cerebello‐Prefrontal Connectivity Underlying Cognitive Dysfunction in Spinocerebellar Ataxia Type 2 by Ami Kumar, Ruo‐Yah Lai, Zena Fadel, Yicheng Lin, Pia Parekh, Rachel Griep, Ming‐Kai Pan, Sheng‐Han Kuo

“…The constellation of cognitive symptoms due to cerebellar degeneration is named cerebellar cognitive affective syndrome (CCAS), which has increasingly been recognized to profoundly impact patients' quality of life; however, the brain circuits underlying these cognitive dysfunctions remain elusive. Methods We utilized a novel technique, cerebello‐cortical electroencephalogram (EEG), to investigate the resting‐state functional connectivity in different frequency domains in 12 SCA2 patients and 24 age‐matched controls. …”
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The gut microbial community structure of the oriental armyworm Mythimna separata (Walker) (Lepidoptera: Noctuidae) affects the the virulence of the entomopathogenic fungus Metarhiz... by Yuejin Peng, Xv Zhang, Guang Wang, Zhengfei Li, Xinling Lai, Baoyun Yang, Bin Chen, Guangzu Du

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Single Mutation in <i>iolT1</i> in <i>ptsG</i>-Deficient <i>Corynebacterium glutamicum</i> Enables Growth Boost in Xylose-Containing Media by Katharina Hofer, Lynn S. Schwardmann, Jung-Won Youn, Volker F. Wendisch, Ralf Takors

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