Revisiting the risk of introduction of Japanese encephalitis virus (JEV) into the United States – An updated semi-quantitative risk assessment by Andrea L. Dixon, Ana R.S. Oliveira, Lee W. Cohnstaedt, Dana Mitzel, Chad Mire, Natalia Cernicchiaro

“…To achieve this objective, we updated our group's previous qualitative risk assessment using an established semi-quantitative risk assessment tool (MINTRISK) to compare the overall rate of introduction and risk, including impacts, of JEV in seven US regions. …”
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Erosion of porphyry copper deposits estimated by quantitative elemental content analysis on the example of Aktogay and Sungun ore fields by T. P. Morozova, V. V. Dyakonov

“…The above-ore, upper-ore, and under-ore levels of the erosion section of the Koldar porphyry copper deposits are clearly identified by quantitative elemental contents in primary lithochemical halos and the following trends in the ratios, typical of porphyry copper mineralization: Cu x Mo/Pb x Zn, Mo/Co, Cu/Mo, Cu x Mo/Cr, Ni/Co. …”
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T7 DNA polymerase treatment improves quantitative sequencing of both double-stranded and single-stranded DNA viruses by Billaud, Maud, Theodorou, Ilias, Lamy-Besnier, Quentin, Shah, Shiraz A., Lecointe, François, De Sordi, Luisa, De Paepe, Marianne, Petit, Marie-Agnès

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An SLA-based resource scheduling method in hybrid cloud environment by UXiaofeng XU, Jinsong XU

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Effective thermal conductivity and inner transfer surface of porous and fibrous materials on the example of foodstuffs by Yu. V. Svetlov, Yu. B. Nikiforov

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Collaborative Learning for Task-Oriented Semantic Communications: Overcoming Data Mismatch Between Transceivers by Yanhu Wang, Ruidong Li, Changhong Wang, Jia Ye, Chenyuan Feng, Shuaishuai Guo

“…Task-oriented semantic communication (ToSC) enhances efficiency and performance by leveraging task-specific data representations and end-to-end learning, which are more compact and effective than traditional reconstruction-oriented methods. …”
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GMT: Gzip-based Memory-efficient Time-series classification by Sungmin Lee, Kichang Lee, JaeYeon Park, JeongGil Ko

“…We introduce GMT, a memory-efficient parameter-free classifier that uses gzip compressor and k-nearest neighbors (kNN) for classifying multi-channel time-series data. …”
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An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption by Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin

“…With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a robust approach that leverages homomorphic encryption (HE) to ensure data confidentiality during decentralized training. …”
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Assessing the Effects of Wheat Planting on Groundwater Under Climate Change: A Quantitative Adaptive Sliding Window Detection Strategy by Lingling Fan, Shi Chen, Lang Xia, Yan Zha, Peng Yang

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Energy-Efficient Deep Learning for Cloud Detection Onboard Nanosatellite by Imane Khalil, Amina Daghouri, Mohammed Alae Chanoui, Zouhair Guennoun, Adnane Addaim

“…The customized SegNet architecture, tailored with minimal kernels and layers, achieved an accuracy of 93.50%, effectively balancing performance and computational efficiency. Quantization further optimized energy consumption, achieving a reduction of 82.2% at 280 MHz. …”
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Efficient Real-Time Isotope Identification on SoC FPGA by Katherine Guerrero-Morejón, José María Hinojo-Montero, Jorge Jiménez-Sánchez, Cristian Rocha-Jácome, Ramón González-Carvajal, Fernando Muñoz-Chavero

“…Efficient real-time isotope identification is a critical challenge in nuclear spectroscopy, with important applications such as radiation monitoring, nuclear waste management, and medical imaging. …”
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The Application of Quantitative ¹H-NMR for the Determination of Melatonin and Vitamin B6 in Commercial Melatonin Products by Xinyu Gao, Jiahao Niu, Zhengjian Xiao, Da Rong, Mingming Yu, Sherwin K. B. Sy, Cong Wang, Zhihua Lv

“…Compared to conventional methods, the ¹H-NMR technique offers a more efficient and simpler alternative, making it suitable for the simultaneous quantitative determination of melatonin and vitamin B6 hydrochloride. …”
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Harnessing Artificial Intelligence and Machine Learning for Identifying Quantitative Trait Loci (QTL) Associated with Seed Quality Traits in Crops by My Abdelmajid Kassem

“…Seed quality traits, such as seed size, oil and protein content, mineral accumulation, and morphological characteristics, are crucial for enhancing crop productivity, nutritional value, and marketability. Traditional quantitative trait loci (QTL) mapping methods, such as linkage analysis and genome-wide association studies (GWAS), have played fundamental role in identifying loci associated with these complex traits. …”
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A Review of Quantitative Characterization of Phase Interface Dynamics and Optimization of Heat Transfer Modeling in Direct Contact Heat Transfer by Mingjian Wang, Jianxin Xu, Shibo Wang, Hua Wang

“…Direct contact heat transfer as an efficient heat recovery method. It is used in the fields of waste heat recovery, nuclear engineering, desalination, and metallurgy. …”
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Quantitative evaluation of DNA damage repair dynamics to elucidate predictors of autism vs. cancer in individuals with germline PTEN variants. by Ruipeng Wei, Masahiro Hitomi, Tammy Sadler, Lamis Yehia, Daniela Calvetti, Jacob Scott, Charis Eng

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Primary Immunodeficiency Registry System: The Minimum Data Set Designing Phase—A Systematic Review and Quantitative Delphi Study by Saman Mohammadpour, Hassan Emami, Sima Shokri, Rafat Bagherzadeh, Soqrat Omari Shekaftik, Zanko Hosseini

“…Designing a minimum data set as the first step in registry development helps collect relevant and efficient data. The aim of this study was to develop a minimum data set for the primary immunodeficiency registry system. …”
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The impact of a risk assessment tool on hospital pressure injury prevalence and prevention: a quantitative pre-post evaluation by Ragnar Seton, Elisabeth Wetzer, Lisa Hultin

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Leveraging quantitative structure-activity relationships to design and optimize wall material formulations for antioxidant encapsulation via spray drying by Hugo M. Lisboa, Alexandre Lúcio, Rogério Andrade, Ana Maria Sarinho, Janaina Lima, Leonardo Batista, Maria Eduarda Costa, Amanda Nascimento, Matheus B. Pasquali

“…To address this, the research integrates quantitative structure–activity relationship (QSAR) modeling with experimental validation to design wall material formulations rationally. …”
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Quantitative Detection of Pericardial Adhesions Using Four-Dimensional Computed Tomography: A Novel Motion-Based Analysis Framework by Tong Ren, Shuo Wang, Nan Cheng, Zekun Feng, Menglu Li, Li Zhang, Rong Wang

“…Conclusions: This proof-of-concept study validated a novel quantitative framework for assessing pericardial adhesions using 4D CT imaging and provides an objective and computationally efficient tool for preoperative assessment in clinical settings. …”
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Fine Mapping of Quantitative Trait Loci (QTL) with Resistance to Common Scab in Diploid Potato and Development of Effective Molecular Markers by Guoqiang Wu, Guanghui Jin

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