Selenium Accumulating Leafy Vegetables Are a Potential Source of Functional Foods by Petro E. Mabeyo, Mkabwa L. K. Manoko, Amra Gruhonjic, Paul A. Fitzpatrick, Göran Landberg, Máté Erdélyi, Stephen S. Nyandoro

“…., Cucurbita maxima, Ipomoea batatas, Solanum villosum, Solanum scabrum, and Vigna unguiculata were explored for their capabilities to accumulate selenium when grown on selenium enriched soil and for use as a potential source of selenium enriched functional foods. Their selenium contents were determined by spectrophotometry using the complex of 3,3′-diaminobenzidine hydrochloride (DABH) as a chromogen. …”
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Derivation of pressure distribution models for horizontal well using source function by J.O. Oloro, E.S. Adewole

“…In this work, ten (10) models for pressure distribution for horizontal well under different boundary variation were derived following these steps for each of the models:(i) choosing a boundary condition for each axis (ii) selecting the appropriate source function for each axis and (iii)applying Newman product rule to arrive at the pressure expression. …”
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Use of private lands for foraging by California spotted owls in the central Sierra Nevada by Perry J. Williams, Sheila A. Whitmore, R. J. Gutiérrez

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Foraging and mating behaviors of Hypsignathus monstrosus at the bat‐human interface in a central African rainforest by Elodie Schloesing, Alexandre Caron, Rémi Chambon, Nicolas Courbin, Morgane Labadie, Roch Nina, Frida Mouiti Mbadinga, Wilfrid Ngoubili, Danficy Sandiala, N’Kaya Tobi, Mathieu Bourgarel, Hélène M. De Nys, Julien Cappelle

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Go Source Code Vulnerability Detection Method Based on Graph Neural Network by Lisha Yuan, Yong Fang, Qiang Zhang, Zhonglin Liu, Yijia Xu

“…With the widespread application of the Go language, the demand for vulnerability detection in Go programs is increasing. Existing detection models and methods have deficiencies in extracting source code features of Go programs and mainly focus on detecting concurrency vulnerabilities. …”
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Municipal secondary-treated effluent data seem to be a suitable source of information for human viral trends by Elsa T. Rodrigues, Joana M. Oliveira, Anália Carmo, Miguel A. Pardal, Ana M. Matos

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Unraveling the Reshaping of Human Resource Management Function: the mediating role of artificial intelligence by Samuel Bangura, Anos Chitamba Chitamba, Lucia Zithobile Ngidi, Sizwe Mbona

“…This shift is predominantly driven by advanced technologies that are transforming human resource management functions within organizations. …”
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Source Type Recognition Algorithm of Radio Emission using Radial Basis Functions by V. F. Korotkov, R. S. Zyryanov

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Functional and Bioactive Benefits of Selected Microalgal Hydrolysates Assessed In Silico and In Vitro by Elena Aurino, Leticia Mora, Antonio Marzocchella, Christina M. Kuchendorf, Bärbel Ackermann, Maria Hayes

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The Cosmic Evolution of Fast Radio Bursts Inferred from the CHIME/FRB Baseband Catalog 1 by Om Gupta, Paz Beniamini, Pawan Kumar, Steven L. Finkelstein

“…We find the energy distribution is described well by a Schechter function with a power-law slope of $-1.9{4}_{-0.12}^{+0.14}$ . …”
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Joint Design of Antenna Selection and Resource Allocation in Massive MIMO-Based Ultra Dense Heterogeneous Networks by Malini Balachandran, Noor Mohammed Vali Mohamad

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Seasonal resource selection of a grassland bird in a dynamic landscape: Importance of a heterogeneous landscape by Sprih Harsh, Robert C. Lonsinger, Hilary R. Kauth, Andrew J. Gregory

“…We quantified landscape features within radii of 250, 500, and 1000 m (i.e., local to broader spatial scales) from the home‐range center. We also used resource selection functions to predict the home‐range placement (second order) and resource selection within home ranges (third order) of pheasants during winter, pre‐nesting, and nesting seasons. …”
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Anomaly Usage Behavior Detection Based on Multi-Source Water and Electricity Consumption Information by Wenqing Zhou, Chaoqiang Chen, Qin Yan, Bin Li, Kang Liu, Yingjun Zheng, Hongming Yang, Hui Xiao, Sheng Su

“…Current resident anomaly detection technologies rely on single-source energy data, lacking detailed behavior pattern analysis. …”
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Allying cobalt nanoclusters with carbon nanofibers for selectively electrocatalytic hydrogenation of unsaturated aldehyde with water as hydrogen source by Xinyu Yang, Sheng-Hua Zhou, Xiaofang Li, Xin-Tao Wu, Qi-Long Zhu

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Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

“…To develop a model of the resource allocation system structure based on the functional-network principle for integrating various public transport modes into a unified transport network. …”
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Outage Performance and Novel Loss Function for an ML-Assisted Resource Allocation: An Exact Analytical Framework by Nidhi Simmons, David E. Simmons, Michel Daoud Yacoub

“…Specifically, we introduce a novel loss function to minimize the outage probability of an ML-based resource allocation system. …”
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Nitrogen-functionalized modulation of iron nanoparticles promotes selective hydrogenation of carbon dioxide by Xianbiao Wang, Jun Qian, Zixuan Lu, Jie Huang, Liru Zheng, Yong Jiang, Mengdie Cai, Yuxue Wei, Lisheng Guo, Song Sun

“…Nitrogen-functionalized iron nanoparticles were prepared using a one-pot hydrothermal process. …”
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Constraining the Faint-end Slope of the Fast Radio Burst Energy Function Using CHIME/FRB Catalog-1 and Local Volume Galaxies by Mohit Bhardwaj, Victoria M. Kaspi, K. W. Masui, B. M. Gaensler, Adaeze L. Ibik, Mawson W. Sammons

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Enhanced Reward Function Design for Source Term Estimation Based on Deep Reinforcement Learning by Junhee Lee, Hongro Jang, Minkyu Park, Hyondong Oh

“…This study investigates the design of reward functions for deep reinforcement learning-based source term estimation (STE). …”
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Beach volleyball athlete training trends of Russian-language scientific resources: a systematic review by Sergii Iermakov, Tetiana Yermakova, Krzysztof Wnorowski, Abdelkrim Bensbaa

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