A fuzzy method for improving the functionality of search engines based on user's web interactions by Farzaneh Kabirbeyk, Ali Harounabadi, Mostafa Sabzekar

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Finite mixtures of functional graphical models: Uncovering heterogeneous dependencies in high-dimensional data. by Qihai Liu, Kevin H Lee, Hyun Bin Kang

“…In this work, we propose finite mixtures of functional graphical models (MFGM), which detect the heterogeneous subgroups of the population and estimate single graph for each subgroup by considering the correlation structures. …”
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Natural variation of ClCCT promoter promotes flowering and dwarfing in adlay (Coix lacryma-jobi L.) by Jieliang Bao, Yanan Wang, Kuoshu Cui, Xiangdong Li, Hong Pan, Chaoyuan Shi, Xiang Yan, Jinglin Wang, Xiaotong Wang, Qing Dou, Xiaolong Dong, Yibing Yuan, Shufeng Zhou, Chao Guo

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Source Process Estimation for the 2024 Mw 7.1 Hyuganada, Japan, Earthquake and Forward Modeling Using N‐net Ocean Bottom Seismometer Data by R. Shibata, H. Kubo, W. Suzuki, S. Aoi, H. Sekiguchi

“…The N‐net seafloor seismograms of the mainshock with a frequency of ∼0.05 Hz recorded east of the source area were reproduced for several stations using the empirical Green's function approach based on the estimated source process data.…”
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Asynchronous bearing only tracking management approach in distributed multi-function integrated sensors by ZHANG Wei, YANG Qiu, LI Hao

“…The distributed multi-function system requires only one integrated sensor to switch to electronic support measure (ESM) mode within each tracking cycle to update the angle measurement information of target radiation source, while the other integrated sensors still work in the original planned mode and task. …”
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Forecasting springtime rainfall in southeastern Australia using empirical orthogonal functions and neural networks by S. Marčelja

“…In addition to standard ocean climate indicators such as El Niño or the Indian Ocean Dipole, other typical patterns of variation are captured in terms of the temperatures of selected ocean areas. When characteristic patterns of correlation are discovered, they are included in the predictor selection in the form of expansion in terms of the empirical orthogonal functions (EOFs). …”
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STATISTICAL DATA AND ANALYSIS OF LITERATURE SOURCES ON PATHOPHYSIOLOGICAL MECHANISMS OF THE CROSSTALK BETWEEN ACUTE KIDNEY AND LIVER INJURY IN PRETERM NEWBORNS DURING THE EARLY NEO... by О. Оболонська, Л. Вакуленко

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Portrait of a Modern Manager in the Context of Information Management Systems of the Company by S. F. Miksjuk

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Advancements in Nanostructured Functional Constituent Materials for Gas Sensing Applications: A Comprehensive Review by Ivana Panžić, Arijeta Bafti, Floren Radovanović-Perić, Davor Gašparić, Zhen Shi, Arie Borenstein, Vilko Mandić

“…By providing a comprehensive and up-to-date analysis, this review serves as a valuable resource for researchers and engineers, offering insights that can drive the next generation of high-performance, reliable, and selective gas sensors.…”
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Identification of Genomic Variants and Candidate Genes for Reproductive Traits and Growth Traits in Pishan Red Sheep Using Whole-Genome Resequencing by Maimaitijiang Muhetapa, Mengting Zhu, Aladaer Qi, Sulaiman Yiming

“…In this study, we performed whole-genome resequencing of Pishan red sheep, generating 9084.81 Gb of raw data and identifying 53,968,686 high-quality single-nucleotide polymorphisms (SNPs). Through selective sweep analysis, 92 genomic regions under selection were detected, containing 90 positional candidate genes significantly associated with growth, reproduction, and immune functions. …”
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Elucidating the role of compositional and processing variables in tailoring the technological functionalities of plant protein ingredients by Lorenzo Barozzi, Stella Plazzotta, Ada Nucci, Lara Manzocco

“…However, other extraction, purification, and drying methods can be properly combined, resulting in specific PP ingredient functionalities. Overall, this review highlights that, besides protein purity and source, knowledge of the processing history is required to select PP ingredients with desired functionalities.…”
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A High‐Quality Reference Genome and Comparative Genomics of the Widely Farmed Banded Cricket (Gryllodes sigillatus) Identifies Selective Breeding Targets by Shangzhe Zhang, Kristin R. Duffield, Bert Foquet, Jose L. Ramirez, Ben M. Sadd, Scott K. Sakaluk, John Hunt, Nathan W. Bailey

“…The high‐quality G. sigillatus genome assembly plus accompanying comparative genomic analyses serve as foundational resources for both applied and basic research on insect farming and behavioural biology, enabling researchers to pinpoint trait‐associated genetic variants, unravel functional pathways governing those phenotypes, and accelerate selective breeding efforts to increase the efficacy of large‐scale insect farming operations.…”
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Antimicrobial Activity of Chitosan from Different Sources Against Non-<i>Saccharomyces</i> Wine Yeasts as a Tool for Producing Low-Sulphite Wine by Francesco Tedesco, Rocchina Pietrafesa, Gabriella Siesto, Carmen Scieuzo, Rosanna Salvia, Patrizia Falabella, Angela Capece

“…Finally, the efficiency of different antimicrobial treatments was evaluated during laboratory-scale fermentations inoculated with a selected <i>S. cerevisiae</i> strain. The tested strains exhibited medium/high resistance to the chitosan; in some cases, the behaviour varied in the function of species/strain, and only four strains exhibited different resistance levels, depending on the chitosan source. …”
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Functional Elements of Entrusted Professional Activities for Dental Educators: Protocol for a Scoping Review by Noraini Abu Bakar, Nurhanis Syazni Roslan, Muhammad Ainul Haq, Yasmin Mustafa Byrnes, Muhamad Saiful Bahri Yusoff

“…ObjectiveThis paper presents a scoping review protocol aimed at systematically elucidating the extent, range, and nature of the literature on EPAs for dental educators, as evaluated in the included resources. This review seeks to answer the following research question: what are the key functional elements of EPAs for dental educators as described in the existing literature? …”
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Economics of fish production at Chitwan district, Nepal by Tara Sharma, Shiva Chandra Dhakal, Rishi Ram Kattel, Kamala Gharti, Jeevan Lamichhane

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Documenting the Production Process of Faba bean (Vicia faba L.) in Gorgan, Ali Abadkatol and Aqqola Regions by Mohammad Reza Mansouri Vajari, Ebrahim Zeinali, Afshin Soltani, Benjamin Torabi, Alireza Nehbandani

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pH-tuneable simultaneous and selective dye wastewater remediation with digestate-derived biochar: adsorption behaviour, mechanistic insights and potential application by Ifunanya R. Akaniro, Gaihong Wang, Peixin Wang, Ruilong Zhang, Wenhua Xue, Jian Ye, Jonathan W.C. Wong, Jun Zhao

“…In this study, biochar prepared from digestate was subjected to nitric acid functionalization to enhance its adsorption capacity for organic dye mixtures of methylene blue and methyl red in synthetic wastewater. …”
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Implementation and Effectiveness of community-based resources to increase cervical cancer screening uptake among women living in sub-Saharan Africa: A protocol for systematic revie... by Danladi B Adamu, Nicole Robertson, David Weller, Christine Campbell

“…# Background Sub-Saharan Africa (SSA) accounts for about 70% of the global burden of cervical cancer; this is due to several factors including lack of access to cervical cancer screening, low knowledge of cervical cancer and screening services, poor-functioning health systems, insufficient and poorly trained health workers, and the high burden of human immunodefiency virus (HIV) infection. …”
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Harnessing Deep Learning With AlexNet for Tomato Leaf Disease Detection in the Indian Himalayan Terrain by Ruchika Sharma, Sameena Naaz, Pankaj Vaidya

“…Agriculture is essential for living in the Indian Himalayan region (IHR), as it functions as the main occupation and source of income. …”
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Evaluating machine learning-based intrusion detection systems with explainable AI: enhancing transparency and interpretability by Vincent Zibi Mohale, Ibidun Christiana Obagbuwa

“…Machine Learning (ML)-based Intrusion Detection Systems (IDS) are integral to securing modern IoT networks but often suffer from a lack of transparency, functioning as “black boxes” with opaque decision-making processes. …”
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