A Global Attention Mechanism-Based EfficientNet Model for Road Pavement-Type Identification by Zhe-Yuan Ni, Jun-Cheng Wang

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Cropland non-agriculturization and agricultural green development: Evidence from the Yangtze River Economic Belt, China by Chunxia Zhu, Yangyang Sun, Haolun Xu

“…Employing the biennial non-radial directional distance function and Luenberger index, the agricultural green total factor productivity (AGTFP) has been measured under the dual constraints of “carbon source” and “carbon sink”. …”
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A new stochastic multi-objective model for the optimal management of a PV/wind integrated energy system with demand response, P2G, and energy storage devices by Hossein Faramarzi, Navid Ghaffarzadeh, Farhad Shahnia

“…The proposed method enhances flexibility and ultimately increases system stability while maintaining diversity in energy sources. Additionally, the utilization of equipment such as various storage devices and P2G enhances system resilience, reducing load fluctuations and improving resource utilization. …”
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A self‐propagating, barcoded transposon system for the dynamic rewiring of genomic networks by Max A English, Miguel A Alcantar, James J Collins

“…We first use the platform to study the impact of transposon functionalization on the evolution of parallel Escherichia coli populations toward diverse carbon source utilization and antibiotic resistance phenotypes. …”
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A novel speaker verification approach featuring multidomain acoustics based on the weighted city-block Minkowski distance by Khushboo Jha, Sumit Srivastava, Aruna Jain

“…A deep convolutional neural network classifier is assessed on open-source LibriSpeech and Speaker in the Wild corpora, surpassing the current methodologies. …”
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Time-variant Granger causality analysis for intuitive perception collision risk in driving scenario: an EEG study by Zhe Wang, Jialong Liang, Shang Shi, Peng Zhai, Lihua Zhang, Lihua Zhang

“…Intuition is a rapid and unconscious cognitive process that is widely utilized in driving scenario. The current study examines the neural mechanisms behind intuitive driving by performing a time-varying Granger causality analysis on source-domain EEG data. …”
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Development of a Fifteen-Minute City Index Using Walkability Scores and Age-Classified Population: The Case of Pasig City, Metro Manila, Philippines by Carlo Angelo R. Mañago, Marielle G. Nasalita, Cesar V. Saveron, Ynah Andrea D. Sunga, Alexis Richard C. Claridades

“…This study presents an in-depth yet replicable approach using open-source data, considering facilities in each social function based on necessity of each age group, as well as utilizing pedestrian walkability as an impedance. …”
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A deep learning-based reconstruction model for 3D sound speed field combining underwater vertical information by Hongchen Li, Yuhang Liu, Ming Li, Penghao Wang, Yuhang Zhu, Kefeng Mao, Xi Chen

“…The model utilizes multi-source satellite remote sensing data and CMEMS temperature-salinity reanalysis data, simultaneously incorporating sea surface environmental factors (SST, SLA, and EKE) and underwater information (average density) as inputs. …”
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The Characterization of Peach Pomace and the Influence of Its Incorporation on the Chemical Composition of Biscuits by Maria Mandache, Carmen Mihaela Topală, Loredana Elena Vijan, Sina Cosmulescu

“…The present paper aimed to evaluate the total bioactive compound content in peach pomace and biscuits fortified with various concentrations of peach pomace (5%, 10%, and 15%), with a view to utilizing this valuable by-product in functional foods. …”
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Comprehensive evaluation of the properties of camel bone gelatin: impact of the duration of pre-treatment and extraction by Meriem Imelhayene, Abdelkader Adamou, Samira Becila, Ayad Redjeb, Dahia Saidj, Abdelhakim Senoussi, Dimitris Sarris, Eleni Naziri

“…Aim: This study investigates the extraction of gelatin from camel bones, discusses its potential as a novel protein source and assesses how its properties are affected by the duration of the pre-treatment and extraction processes. …”
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The effect of fuel prices on agri-food sector output in Ghana by Ramatu Ussif, Jamal Mohammed, Ussif Abdul-Aziz Sirin

“…Annual time-series secondary data spanning from 1980 to 2020 were utilized, sourced from the World Development Indicators and the US Energy Information Administration. …”
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Droughts and windstorms due to climate change increase variability in species and trait composition of a subtropical monsoon evergreen broadleaf forest in China by Wenjing Chen, Lei Liu, Daijun Liu, Josep Penuelas, Guoyi Zhou, Zhen Yu, Anchi Wu, Zhurong Wu, Langqin Hua

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Comparison of Nutritional and Bioactive Component in Graded Highland Barley Flour by Chongyu LI, Bin DANG, Falin ZHANG, Xijuan YANG

“…Overall, coarse bran of highland barley could be utilized for the development of foods rich in dietary fiber, amino acids, minerals, and polyphenolic compounds, while fine bran can serve as a source material for β-glucan extraction. …”
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Characteristics and evolution of chemical structural differences between vitrain and durain during anaerobic microbial degradation by Dan LI, Yuan BAO, Fengyin XU, Xiangrong LIU, Yiliang HU, Xiaojing WANG

“…Fourier transform infrared spectroscopy and X-ray diffraction techniques were utilized for analyzing changes in functional group structures as well as microcrystalline structural evolution at different stages (I, II, III) of degraded coals. …”
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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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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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Adult age differences in the integration of values for self and other by Lena Pollerhoff, Anne Saulin, Marcel Kurtz, Julia Stietz, Xue-Rui Peng, Grit Hein, Anita Tusche, Philipp Kanske, Shu-Chen Li, Andrea M.F. Reiter

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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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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

“…Once we had a good understanding of the methods available, we conducted a study to assess the reproducibility and generalizability of open-source ML models. Our evaluation shows that existing models show reduced generalizability when different cohorts of the data modality are used while controlling other computational factors. …”
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