Iterative segmentation and classification for enhanced crop disease diagnosis using optimized hybrid U-Nets model by Malathi Chilakalapudi, Sheela Jayachandran

“…In the core of our methodology is the implementation of adaptive anisotropic diffusion for the denoising of obtained agro images, therefore making it a step towards assurance in data quality. …”
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The effect of catalyst ink formulations and slot-die coating parameters on PEMFC GDE fabrication by Cecil Felix, Iosif Vazirgiantzikis, Mphoma Matseke, Olivia Barron, Mpfunzeni Raphulu

“…The nonuniform Pt loadings were attributed to variations in gas diffusion layer roughness, catalyst layer cracks, and limitations of the slot-die coater. …”
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Research on Reconstructing Regional Business Cycle Analysis System Based on Electricity Big Data—A Case Study in Guangxi Province by Zhiwei Cui, Qideng Luo, Haoyang Ji, Yang Xu, Junyi Shi

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Evaluation of Clinical Symptoms of Unilateral S1 Nerve Injury Caused by Disc Herniation the via High Resolution MRI and DTI by Zhang C, Hao W, Guo X, Zhang Y, Fu H, Zhang J

“…ChaoYang Zhang,1,* Wei Hao,1,* Xiaobo Guo,2 Yuna Zhang,1 Hao Fu,1 Jiashan Zhang1 1Department of Radiology, Jincheng General Hospital, Jincheng, Shanxi, People’s Republic of China; 2Department of Orthopaedics, Jincheng General Hospital, Jincheng, Shanxi, People’s Republic of China*These authors contributed equally to this workCorrespondence: ChaoYang Zhang, Email Zhangchaoyang8717@163.comBackground: The status of the herniated disc or nucleus pulposus and the extent of injury and clinical symptoms of the compressed S1 nerve fiber bundle were evaluated by high-resolution Magnetic resonance imaging (MRI) and Diffusion tensor imaging (DTI) techniques.Methods: Forty-two clinically proven patients with unilateral S1 nerve root compression were selected as the case group (n=42), and 20 healthy volunteers were selected as the control group (n=20). …”
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Evaluation of Setting Time, Compressive Strength, Microleakage and Antibacterial Properties of Nano Hydroxyapatite Incorporated GIC: An In-vitro Study by Akshada Chougaonkar, Updesh Masih, Abhilasha Manker, Neelesh Gautam, Nidhi Soni

“…The preparation of GIC-NHAp was done by adding nano- HA to GIC at selected concentrations by weight/weight percentage (w/w%). …”
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Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration by Qifan Zhou, Bosong Chai, Kunwen Ran, Yingqing Guo, Shan Zhou, Wangyu Wu, Kun Wang, Yao Ni

“…In this paper, we adopt the combination of the diffusion model and TTT (test-time training), based on the sample distribution of feature data under the laboratory conditions, and we use the pre-trained decoder to decode the data into a continuous potential representation of natural language for sampling, to achieve data regeneration. …”
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Research on the mechanism of seepage grouting in fractal rock mass based on fractal theory by Pengfei QIN, Xiang ZHU, Xiangyun ZHOU

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Removal of Copper ions from aqueous solutions using polymer derivations of poly (styrene-alt-maleic anhydride) by Naser Samadi, Reza Ansari, Bakhtiar Khodavirdilo

“…The intra-particle diffusion study revealed that external diffusion might be involved in this case. …”
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Spatial predictors of landowners' engagement in the restoration of the Brazilian Atlantic Forest by Thomas Pienkowski, Anna Freni Sterrantino, Anazelia M. Tedesco, Matt Clark, Pedro H. S. Brancalion, Arundhati Jagadish, Alex Mendes, Ludmila Pugliese de Siqueira, Morena Mills

“…Commercial landowners might have greater incentives to restore or be selectively targeted by restoration organisations, risking the marginalisation of smallholders in poorer areas from restoration agendas. …”
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Antibiotic susceptibility patterns of Salmonella isolates from clinical, food, and environmental sources in Addis Ababa and surrounding towns, Ethiopia by Abebe M. Aga, Demise Mulugeta, Dassalegn Muleta, Adugna Abdi Woldesemayat, Abera Motuma, Musin Kelel, Bilise Wakitole, Shambel Tadesse, Zinash Teferi, Fanos Tadesse Woldemariyam, Serkadis Oljira, Henok Ferede, Natnael Berihun, Samson Girma, Dereje Nigussie, Mesfin Tafesse Gemeda

“…Salmonella was isolated and screened through selective culture methods and biochemical tests. Antimicrobial sensitivity tests were done by the Kirby-Bauer disk diffusion method. …”
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Proof of concept for molecular velcro based on the attractive interaction between porphyrin and pyridine containing copolymers by M. Sievers, J. C. Namyslo, F. Lederle, E. G. Huebner

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Capturing Psuedo-Innovation in ELT: The Analysis of implementing Differentiated Learning to suburban Private Madrasahs by Muhammad Sandy Al Fath, Nikmah Sistia Eka Putri

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Direct K+ and Ag+ Ion-exchanged into SAPO-34 Prepared via Microwave Irradiation and Its Performance in MTO by mazin jasim mohammed, najwa saber majeed

“…As the velocity increased, the conversion and selectivity decreased. It was found that adding K and Ag by ion exchange to SAPO-34 improve surface area and enlarge the pores diffusion. …”
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A Concurrent Extended Spectrum Beta-lactamase Production and Multidrug Resistance among Proteus Species isolated from Clinical samples of patients attending selected Hospitals in N... by Isyaka Tom Mohammed, A Dutsinma Usman, Aishatu A Ibrahim, Askira M Umoru, Muhammad M Ibrahim, Jidda B Umar

“…Antibiotics susceptibility test was carried out for all isolates using the Kirby-Bauer disc diffusion method, coupled with a screening of the production of extended-spectrum beta-lactamase using the Combined Disc Diffusion Method.  …”
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Introducing µGUIDE for quantitative imaging via generalized uncertainty-driven inference using deep learning by Maëliss Jallais, Marco Palombo

“…This work proposes µGUIDE: a general Bayesian framework to estimate posterior distributions of tissue microstructure parameters from any given biophysical model or signal representation, with exemplar demonstration in diffusion-weighted magnetic resonance imaging. Harnessing a new deep learning architecture for automatic signal feature selection combined with simulation-based inference and efficient sampling of the posterior distributions, µGUIDE bypasses the high computational and time cost of conventional Bayesian approaches and does not rely on acquisition constraints to define model-specific summary statistics. …”
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Identity and Temporal Fragmentation in Borderline Personality Disorder: A Systematic Review by Ilaria Faggioli, Cecilia Maria Esposito, Giovanni Stanghellini

“…The selection leads to the inclusion of 15 articles, investigating through integrated techniques the lived time, memory, self-reported narratives, and metacognition in BPD subjects. …”
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AI adoption in higher education: Advancing sustainable energy management in palestinian universities by Mohannad Moufeed Ayyash, Omar Hasan Salah

“…In this research, Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Diffusion of Innovations (DoI), and Resource-Based View (RBV) have been adopted to investigate mediator role of AI adoption intention in AI use. …”
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Exploring the causal involvement of the rIPL and white matter interindividual variability in spatial orienting and consciousness by Joaquín J. Ramírez-Guerrero, Cristina Narganes-Pineda, Mar Martín-Signes, Ana B. Chica

“…Background: Spatial attention enables the selection of relevant over irrelevant stimuli through dorsal and ventral fronto-parietal networks. …”
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Cerebral morphometric alterations predict the outcome of migraine diagnosis and subtyping: a radiomics analysis by Tong-Xing Wang, Xiao-Bin Huang, Tong Fu, Yu-Jia Gao, Di Zhang, Lin-Dong Liu, Ya-Mei Zhang, Hai Lin, Jian-Min Yuan, Cun-Nan Mao, Xin-Ying Wu

“…Features representing the gray matter morphometry and diffusion properties were extracted from participants via histogram analysis. …”
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Evaluation of vascular cognitive impairment and identification of imaging markers using machine learning: a multimodal MRI study by Haoying He, Dongwei Lu, Sisi Peng, Jiu Jiang, Fan Fan, Dong Sun, Tianqi Sun, Zhipeng Xu, Ping Zhang, Xiaoxiang Peng, Ming Lei, Junjian Zhang

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