Atmospheric Turbulence-Controlled Cryptosystems by Ivan B. Djordjevic

“…To overcome low secret-key rates of traditional scheme, dictated by the long coherence time <italic>T_c</italic> of turbulence channel, the proposed encryption scheme updates the parameters of gamma-gamma distribution, used to generate irradiance samples for cumulative distribution function-based determination of the key, every <italic>T_c</italic> seconds and as such the final key is shaped by the atmospheric turbulence channel. …”
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Spectral Properties of Suprathermal Protons Associated with Interplanetary Shocks from WIND/STICS Data by Johann Rubens Mejia-Ott, Brent M. Randol

“…Here are analyzed 3D velocity distribution functions (VDFs) of protons in the suprathermal energy-per-charge ( E / Q ) domain of 6.2 to 223.1 keV/e, as observed by the WIND Suprathermal Ion Composition Spectrometer (WIND/STICS) between 1995 and 2019, upon passage of interplanetary (IP) shocks. …”
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The effectiveness and safety of acupuncture for post-stroke depression: An overview of systematic reviews by Run-qing Miao, Feng-ya Zhu, Tian-yu Wang, Shao Yin, Chen Shuai, Tao Li, Zhi Li, Lan Luo, Bin Yang

“…Some studies suggested possible effects on cognitive function, biomarkers, sleep quality, and Traditional Chinese Medicine syndromes, but these findings require further validation with higher-quality research. …”
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Perspective on the Biomimetic Approaches for the Design of Hydrophobic and Antimicrobial Paper Coatings with Hierarchical Surface Structures by Pieter Samyn

“…The enhanced coating functionalities should be incorporated through a combination of selected bio-based materials and the creation of appropriate surface textures enhancing coating performance. …”
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CFD investigation and ANN prediction of heat transfer coefficient for fully developed turbulent air flow around double V-baffle turbulators by Abdulaziz Alasiri, H.E. Fawaz

“…The process of training incorporates the analysis of the loss function on training and validation data for controlling the weights and biases using backpropagation while feed forward propagate the selected input parameters. …”
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High-resolution spatiotemporal measurement of air and environmental noise pollution in Sub-Saharan African cities: Pathways to Equitable Health Cities Study protocol for Accra, Gha... by Michael Brauer, Majid Ezzati, Sierra N Clark, Abosede S Alli, Jill Baumgartner, Mireille B Toledano, Allison F Hughes, James Nimo, Josephine Bedford Moses, Solomon Terkpertey, Jose Vallarino, Samuel Agyei-Mensah, Ernest Agyemang, Ricky Nathvani, Emily Muller, James Bennett, Jiayuan Wang, Andrew Beddows, Frank Kelly, Benjamin Barratt, Sean Beevers, Raphael E Arku

“…Our design uses a combination of fixed (year-long, n=10) and rotating (week-long, n =~130) sites, selected to represent a range of land uses and source influences (eg, background, road traffic, commercial, industrial and residential areas, and various neighbourhood socioeconomic classes). …”
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Comparative analysis of anthocyanin content in various tomato samples in connection with breeding by E. A. Dzhos, M. I. Mamedov, O. N. Pyshnaya, N. A. Golubkina, O. V. Verba, A. A. Matyukina

“…Vegetable products containing antioxidant substances belong to the functional products and conform to the concept of a healthy diet. …”
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Nature-based solutions for urban climate resilience: implementation, contribution, and effectiveness by Gemechis B Mosisa, Bobe Bedadi, Gemedo Dalle, Nega Tassie

“…For instance, of the 26 qualitative sample publications selected for this systematic review, almost 54 % employed only secondary data sources, and eight publications lacked clear and specified data analysis techniques. …”
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Theoretical and technical concept of cemented backfill material for flexible enhanced thermal energy storage in coal underground space by Chao LYU, Wenyu LYU, Qiang SUN, Panshi XIE, Ding LANG, Songtao JI, Jianjun HU

“…In general, CBM–FETES realizes the full integration of mines and variable energy sources and enriches the connotation of filling mining. …”
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Association of microtubule-based processes gene expression with immune microenvironment and its predictive value for drug response in oestrogen receptor-positive breast cancer by Zhenfeng Huang, Minghui Zhang, Nana Zhang, Mengyao Zeng, Yao Qian, Meng Zhu, Xiangyan Meng, Ming Shan, Guoqiang Zhang, Feng Liu

“…Transwell and cell viability assays were used to examine the biological functions of CHORDC1.ResultsTwo molecular subgroups with significantly different survival outcomes were identified. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Serverless computing, Function-as-a-Service (FaaS), is a cloud computing (CC) system that permits developers to construct and run applications without a conventional server substructure. …”
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Re-Infection Outcomes Following One- And Two-Stage Surgical Revision of Infected Knee Prosthesis: A Systematic Review and Meta-Analysis. by Setor K Kunutsor, Michael R Whitehouse, Erik Lenguerrand, Ashley W Blom, Andrew D Beswick, INFORM Team

“…Our second objective was to compare between the two revision strategies, clinical outcomes as measured by postoperative Knee Society Knee score, Knee Society Function score, Hospital for Special Surgery knee score, WOMAC score, and range of motion.…”
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A thorough assessment of 10-MDP primers in modern dental adhesive systems by Ahmed A Abduljawad, Harraa SM Salih, Omar F Tawfiq

“…Aims: This paper comprehensively reviewed current knowledge on the functional monomer 10-methacryloyloxydecyl dihydrogen phosphate. …”
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ORGANIZING THE WORK OF THE DONOR BREAST MILK BANK AT THE LVIV PERINATAL CENTER IS AN EXPERIENCE THAT MOTIVATES FURTHER DEVELOPMENT by М. Малачинська, М. Кісельова, О. Шлемкевич, Н. Вереснюк, Г. Коваленко

“… Human milk is considered the primary source of nutrition for breastfed infants and is justifiably regarded as the “gold standard.” …”
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The RBF-FD and RBF-FDTD Methods for Solving Time-Domain Electrical Transient Problems in Power Systems by Duc-Quang Vu, Nhat-Nam Nguyen, Phan-Tu Vu

“…RBFs such as Gaussian (GA), Multiquadric (MQ), Inverse Quadric (IQ), and Inverse Multiquadric (IMQ) are used in these numerical methods to formulate the central finite difference approximations of the first- and second-order derivatives of a function. The algorithm of selecting “optimal” shape parameters for our basis functions is also applied, specifically to increase the accuracy of the suggested methods with regard to high accuracy needs. …”
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Submillimeter and Mid-infrared Variability of Young Stellar Objects in the M17 H II Region by Zhiwei Chen, Doug Johnstone, Carlos Contreras Peña, Jeong-Eun Lee, Sheng-Yuan Liu, Gregory Herczeg, Steve Mairs, Geumsook Park, Kee-Tae Kim, Mi-Ryang Kim, Keping Qiu, Yao-Te Wang, Xu Zhang, Megan Reiter, The JCMT Transient Team

“…This mid-IR fractional variability as a function of evolutionary stage result is similar to what has previously been found for YSO variability within the Gould Belt and the intermediate-mass star formation region M17 SWex, though overall less variability is detected in M17 in submillimeter and mid-IR. …”
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Price transmission and market integration analysis of black gram (urad dal) across major Indian states by Sukhvir Singh, Amit Guleria, Parvender Sheoran, Pankaj Sood, Vishal Mahajan, Dharminder Kumar, Satbir Singh, Gurdeep Singh, Rajesh K. Rana

“…Various statistical tools, including CAGR, decomposition analysis, instability analysis, seasonal indices, correlation analysis, Johansen co-integration, Granger causality, Vector Error Correction Model (VECM), impulse response function, and variance decomposition, were used for data analysis.ResultsThe findings indicate that black gram production and price dynamics are influenced by multiple factors. …”
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Study on River System Flood Forecasting Scheme for Longtan Hydropower Station Interval in Hongshui River by DU Yong, FU Yupeng, WEI Yongjiang, LI Zongtai

“…Longtan Hydropower Station is a flood control project in the Pearl River Basin,but there is currently a lack of a comprehensive river system flood forecasting scheme.In order to give full play to the flood control and storage function of Longtan Hydropower Station,tributary control stations such as Leigongtan,Moyang,Pinglihe,Pinghu,and Xianrenqiao are selected,and the key areas of concern are determined through the analysis of important sub-intervals.The river system flood forecasting scheme for the Longtan Hydropower Station interval is constructed by using the Xin'an River three-source runoff generation model,three-source lag routing convergence model,and Maskingen convergence algorithm.The research results show that the proportion of the maximum inflow flood volume of Longtan Hydropower Station is usually in uncontrolled intervals,followed by the tributaries in Guizhou Province (Mengjiang River,Bawang River,Caodu River,and Liudong River),which are the focus of flood forecasting.The total average relative peak flow error and the average relative flood volume error in the river system flood forecasting scheme are both 10%,and the average deterministic coefficients are above 0.75.The overall results are relatively accurate.Therefore,the river system flood forecasting scheme for the Longtan Hydropower Station interval can be applied to real-time flood operation forecasting,and it lays a solid foundation for further improving the “forecast,early warning,rehearsal,and contingency plan” capability.…”
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SMART Based Multi-Point Matching Assisted Approximation of Renewable Interconnected Power System by Umesh Kumar Yadav, V. P. Singh, Luigi Fortuna, Umesh Kumar Sahu

“…The errors between expansion parameters obtained in terms of coefficients of HO HPP system and its RO model are minimized around selected multi-points, further. For the error minimization, objective function is framed. …”
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Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…Through the activation functions in the BP neural network, it enhanced the understanding of the complex nonlinear relationships between the original SIF data and these MODIS products. …”
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