The Development and Use of a Genre Statement for Electronic Journals in the Sciences by Jennifer Weintraub

“… Selection of web-based resources affects every division of the academic library. …”
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The On-Chip D-LMS Filter Design Method of Wireless Sensor Node Based on FPGA by Jian Li, Maojin Li, Ming Meng, Zepeng Liu

“…In the real-time position technology of underground shallow source, the signal denoising performance of wireless sensor nodes directly determines the location speed and accuracy of underground burst point. …”
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Development of a Recombinase-Mediated Cassette Exchange System for Gene Knockout and Expression of Non-Native Gene Sequences in <i>Rickettsia</i> by Benjamin Cull, Nicole Y. Burkhardt, Benedict S. Khoo, Jonathan D. Oliver, Xin-Ru Wang, Lisa D. Price, Kamil Khanipov, Rong Fang, Ulrike G. Munderloh

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Identification of multiple power quality disturbances in hybrid microgrid using deep stacked auto-encoder based bi-directional LSTM classifier by Ravi Kumar Jalli, Lipsa Priyadarshini, P.K. Dash, Ranjeeta Bisoi

“…Thus to design an effective PQD recognition system, this paper proposes a novel time-frequency analysis method based on adaptively fast complementary ensemble local mean decomposition (AFCELMD) technique that decomposes the multicomponent PQD signal into a series of demodulated product functions (PFs). Out of the several PFs the most sensitive one is selected adaptively and used for feature extraction and classification through a deep stacked auto-encoder (dSAE) hybridized with a time-recursive bi-directional long short term memory (BiLSTM) network classifier. …”
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Transcription Factor LjWRKY50 Affects Jasmonate-Regulated Floral Bud Duration in <i>Lonicera japonica</i> by Yanfei Li, Yutong Gan, Guihong Qi, Wenjie Xu, Tianyi Xin, Yuanhao Huang, Lianguo Fu, Lijun Hao, Qian Lou, Xiao Fu, Xiangyun Wei, Lijun Liu, Chengming Liu, Jingyuan Song

“…<i>Lonicera japonica</i> Thunb. is a traditional Chinese medicinal herb whose floral buds are the primary source of pharmacological compounds that require manual harvesting. …”
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Load balancing method of service cluster based on mean-variance by Xiaoan BAO, Xue WEI, Lei CHEN, Guoheng HU, Na ZHANG

“…When a large number of concurrent requests are allocated,the load scheduling mechanism is to achieve the load balancing of nodes in the network by minimizing the response time and maximizing the utilization ratio of nodes.In the load balancing algorithm based on genetic algorithm,the fitness function is designed to have an important influence on the load balancing efficiency.A service cluster load balancing method based on mean-variance was proposed to optimize the fitness function.The investment portfolio selection model mean-variance was used to minimize the response time,which was used to get the weight of each server's resource utilization,so as to obtain the optimal allocation combination.This method improves the accuracy and efficiency of the fitness function.Compared with other models in different service environment,the simulation results show that the load balancing algorithm makes the service cluster get a better balance performance in terms of node utilization and response time.…”
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Bovine PMN responses to extracellular vesicles released by Besnoitia besnoiti tachyzoites and B. besnoiti-infected host cells by Gabriel Espinosa, Constanza Salinas-Varas, Lisbeth Rojas-Barón, Christian Preußer, Elke Pogge von Strandmann, Ulrich Gärtner, Iván Conejeros, Carlos Hermosilla, Anja Taubert

“…Therefore, we tested whether exposure of bovine PMN to EVs from different cellular sources affects classical PMN effector functions and cytokine/chemokine secretion. …”
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IESSP: Information Extraction-Based Sparse Stripe Pruning Method for Deep Neural Networks by Jingjing Liu, Lingjin Huang, Manlong Feng, Aiying Guo, Luqiao Yin, Jianhua Zhang

“…In addition, we design a novel loss function that links output loss to stripe selection, enabling an effective balance between accuracy and efficiency. …”
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Diagnostic potential of the B9D2 gene in colorectal cancer based on whole blood gene expression data and machine learning by Zhaorui Wang, Yongcheng Fu, Haozhe Zhang, Na Liu, Ningjing Lei

“…The B9D2 gene, which is essential for ciliary function, has been rarely explored in CRC. This study is the first to investigate the diagnostic potential of B9D2 in CRC, using bioinformatics and machine learning to uncover its novel role in early detection, with implications for clinical translation. …”
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Enhancing Value and Efficiency in Egyptian Construction Projects: A Framework for Contractor Performance Assessment Using Value Engineering by May Emam, Sherif El- Attar, Abdullah Mohammed

“…The proposed model integrates function-worth analysis in contractor selection and introduces a Value Index (VI) for real-time performance monitoring. …”
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Labour Productivity in Medical Institutions as an Object of Scientific Analysis by A. N. Popsuyko, E. A. Batsina, G. V. Artamonova, E. A. Morozova

“…The authors analyzed sources of home and foreign literature, normative documents for the period 2010–2019 dealing with this problem and practices of public health system functioning. …”
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Development and Optimization of a Novel Deep Learning Model for Diagnosis of Quince Leaf Diseases by A. Naderi Beni, H. Bagherpour, J. Amiri Parian

“…IntroductionDetection of tree leaf diseases plays a crucial role in the horticultural field. …”
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21 Balmer Jump Street: The Nebular Continuum at High Redshift and Implications for the Bright Galaxy Problem, UV Continuum Slopes, and Early Stellar Populations by Harley Katz, Alex J. Cameron, Aayush Saxena, Laia Barrufet, Nichloas Choustikov, Nikko J. Cleri, Anna de Graff, Richard S. Ellis, Robert A.E. Fosbury, Kasper E. Heintz, Michael Maseda, Jorryt Matthee, Ian McConachie, Pascal A. Oesch

“…Second, we present a dataset of 58 galaxies observed with NIRSpec on JWST at $2.5<z<9.0$ that are selected to have strong nebular continuum emission via the detection of the Balmer jump. …”
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Uncertainty-Aware Active Meta-Learning for Few-Shot Text Classification by Sanghyun Seo, Hiskias Dingeto, Juntae Kim

“…Low-resource natural language understanding is one of the challenges in the field of language understanding. …”
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The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control by Liangyu Kang, Jian Hu, Kangning Cai, Wenzhan Jing, Min Liu, Wannian Liang

“…Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. …”
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Regression-based leaf nitrogen concentration estimation of young Cephalotaxus hainanensis in small and imbalanced samples by Mengmeng Shi, Tian Wang, Ling Lin, Qingxue Li, Zhulin Chen, Xingjing Chen, Peng Wang, Xuefeng Wang

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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

“…We applied this hybrid strategy to a Radial Basis Function Network (RBFN), and validated its performance improvements through extensive experiments, including ANOVA and Wilcoxon tests for both feature selection and optimization phases. …”
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Investigation of the Impact of Light Colour on Surface Colour Perception: A Case Study on Red Surfaces by Havva Gül Sümer, Leyla Dokuzer Öztürk

“…These results offer valuable insights for the selection of suitable light sources not only for art exhibition spaces but also for other environments featuring colourful objects. …”
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Numerical modeling of complex radiative heat transfer by N. I. Moskalenko, L. V. Rodionov, M. S. Khamidullina, I. A. Afanasyev

“…The application of numerical simulation of the fine structure of the absorption and emission in the complex problems of radiative heat transfer is consider when the structural characteristics of the environment and the boundary conditions are different strong inhomogeneities in temperature, chemical composition and distribution of the radiation sources. The very nature of radiative heat transfer and temperature variation trends over time are determined by the acute effects of selection of the spectra and their modeling require knowledge of spectral line parameters: intensity, half-width position of the centers, contours. …”
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Depressive disorders in women of climacteric age (review of foreign literature for 2012–2016) by N. A. Bokhan, E. V. Lukiyanova, G. G. Simutkin

“…In the abstract-bibliographic and scientometric database Web of Science Core Collection 70 bibliographic sources are selected across foreign journals between 2012 and 2016, including journals with high Impact Factor. …”
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