MAIT cells launch a rapid, robust and distinct hyperinflammatory response to bacterial superantigens and quickly acquire an anergic phenotype that impedes their cognate antimicrobi... by Christopher R Shaler, Joshua Choi, Patrick T Rudak, Arash Memarnejadian, Peter A Szabo, Mauro E Tun-Abraham, Jamie Rossjohn, Alexandra J Corbett, James McCluskey, John K McCormick, Olivier Lantz, Roberto Hernandez-Alejandro, S M Mansour Haeryfar

“…Accordingly, they upregulate lymphocyte-activation gene 3 (LAG-3), T cell immunoglobulin and mucin-3 (TIM-3), and/or programmed cell death-1 (PD-1), and acquire an anergic phenotype that interferes with their cognate function against Klebsiella pneumoniae and Escherichia coli; vi) MAIT cell hyperactivation and anergy co-utilize a signaling pathway that is governed by p38 and MEK1/2. …”
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Design and Testing of a Small-Scale Composting Facility for Sheep Manure Utilizing Aeration and Thermal Treatment by Jian Wang, Kailin Ren, Longfei Zhang

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Sustainable utilization of wild fruits and respective tree byproducts as partial feed ingredients or supplements in livestock rations by Prince Chisoro, Prince Chisoro, Bulelani Mazizi, Ishmael Festus Jaja, Ishmael Festus Jaja, Never Assan, Never Assan, Thobela Nkukwana

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Utilization of Date palm (Phoenix dactylifera L.) wastes for bioethanol production using Pichia kudriavzevii strains by Folake T. Afolabi, Ibukun E. Ola

“…Moreover, the Pichia kudriavzevii strains could be recommended for bioethanol production at 30 % inoculum size, on using sucrose as a carbon source and yeast extract as a nitrogen source. On using the Fourier-Transform Infrared (FTI) spectroscopy, the detected functional group of the produced bioethanol was O-H group. …”
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Education and innovation in the utilization of Beronok (Meranti Sea Cucumber) for sustainable development and community well-being in Meranti by Rahmad Hari Adi, Barlian Eri, Welis Wilda

“…With its high content of protein, minerals, and other health benefits, beronok holds significant potential as a functional food source that can support nutrition and foster sustainable livelihoods. …”
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Ancestral [Fe-S] biogenesis system SMS has a unique mechanism of cluster assembly and sulfur utilization. by Macha Dussouchaud, Markel Martinez-Carranza, Pierre-Simon Garcia, Martin Clémancey, Geneviève Blondin, Jean Michel Betton, Ahmed Haouz, Simonetta Gribaldo, Sandrine Ollagnier de Choudens, Ludovic Sauguet, Ariel Mechaly, Frédéric Barras

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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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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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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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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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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

“…While stable genetic transformation is a common approach for studying gene function, virus-induced gene silencing (VIGS) offers a rapid and powerful alternative for functional genomics, enabling efficient screening of candidate genes. …”
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Polyhydroxyalkanoate production during electroactive biofilm formation and stabilization in wetland microbial fuel cells for petroleum hydrocarbon bioconversion by Lanmei Zhao, Mengxue Sun, Can Lyu, Long Meng, Jian Liu, Bo Wang

“…During the early phase, the dual-function bacteria, such as Pseudomonas, Bacillus, Acinetobacter and Desulfosarcina, prioritized electron transfer and bioelectricity production using available carbon sources. …”
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A New Method for Indoor Visible Light Imaging and Positioning Based on Single Light Source by Xinxin Cheng, Xizheng Ke, Huanhuan Qin

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Ambiguity Analysis and Resolution for Phase-Based 3D Source Localization under Given UCA by Zhen Liu, Xin Chen, Zhenhua Wei, Tianpeng Liu, Linlin Li, Bo Peng

“…In ATCM, the phase differences of centrosymmetric sensors under different ambiguities are utilized to match a cosine function with sensor number-varying, and the source’s unambiguous rough angles can be derived from amplitude and initial phase of the cosine function. …”
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Bayesian approach for localizing cardiac sources in Magnetocardiography using Vectorcardiography based total variational priors by Vikas R. Bhat, Karunakar Kotegar, H. Anitha

“…These electrical impulses give rise to electric potentials on the body surface and tiny magnetic field around the thorax. These functional activities can be investigated using Electro/Magnetocardiogram (E/MCG). …”
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Enhancing stochastic optimal power flow with modified cheetah optimizer for integrating renewable energy sources by Majid Saeidi, Taher Niknam, Mohsen Zare, Zulfiqar Ali Memon

“…Abstract In this paper, a modified cheetah optimizer (MCO) algorithm is presented, which has been designed to address the optimal power flow (OPF) problem in power grids that utilize renewable energy sources (RES). The issue of uncertainty in cost models for wind turbines (WTs) and photovoltaics (PVs), which can result in overestimation or underestimation of RES, is addressed by including the uncertain cost value in the direct cost of these renewable units to calculate their cost value accurately. …”
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Environmental adaptations in metagenomes revealed by deep learning by Johanna C. Winder, Simon Poulton, Taoyang Wu, Thomas Mock, Cock van Oosterhout

“…In this study, we applied a transfer learning approach using the ESM-2 protein structure prediction model and our own smaller ANN to classify proteins containing the domain of unknown function 3494 (DUF3494) by their source environments. …”
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Small, open-source text-embedding models as substitutes to OpenAI models for gene analysis by Dailin Gan, Jun Li

“…While foundation transformer-based models developed for gene expression data analysis can be costly to train and operate, a recent approach known as GenePT offers a low-cost and highly efficient alternative. GenePT utilizes OpenAI's text-embedding function to encode background information, which is in textual form, about genes. …”
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Radiation Mapping: A Gaussian Multi-Kernel Weighting Method for Source Investigation in Disaster Scenarios by Songbai Zhang, Qi Liu, Jie Chen, Yujin Cao, Guoqing Wang

“…Field experiments confirmed the system’s ability to accurately map radiation fields and localize gamma sources. When combined with SLAM, the system achieved localization errors of 10 cm for single sources and 15 cm for dual sources. …”
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A Reactive Power Partitioning Method Considering Source–Load Correlation and Regional Coupling Degrees by Jiazheng Ding, Xiaoyang Xu, Fengqiang Deng

“…This study innovatively constructs a Copula function-based joint probability distribution model for source–load correlation. …”
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