Is Clonal Integration a Buffer for the Stress of Resource Acquisition Depletion in <i>Eichhornia crassipes</i> (Pontederiaceae) Ramets? by Guilherme Ramos Demetrio, Dalton Serafim, Flávia de Freitas Coelho

“…Natural selection favors the allocation of finite resources to different functions maximizing fitness. …”
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Bias‐Independent True Random Number Generator Circuit using Memristor Noise Signals as Entropy Source by Jinwoo Park, Hyunjoong Kim, Hyungjin Kim

“…Finally, the performance of the designed TRNG circuit is evaluated using autocorrelation functions and National Institute of Standards and Technology tests, confirming its capability to produce random number bitstreams.…”
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Multiepoch Observations of the Nearby Spiral Galaxy NGC 3938 with the Chandra X-Ray Observatory by Siddhi Raut, Eric M. Schlegel, Thomas G. Pannuti, Brannon W. Jones, Jacobo Matallana

“…A total of 47 discrete merged sources from both epochs were detected at the ≈3 σ level or greater with the D25 radius. …”
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Selection for domestication favored taxa characterized by fast growth and tolerance of high intraspecific density by Rafael Rubio deCasas, Irene Martín‐Brull, Ruben Milla, Francisco J. Ocaña‐Calahorro

“…We conclude that early agriculturalists selected for domestication wild legumes that performed well in dense monocultures and were more effective in resource capture. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

“…Underwater Wireless Sensor Networks (UWSNs) are widely used in naval military field and marine resource exploration. However, challenges such as resource inefficiency and unbalanced energy consumption severely hinder their practical applications. …”
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Evaluating habitat selection of François’ langur in the karst mountains of China: Implications for conservation strategies by Jialiang Han, Xing Fan, Guy Michael Williams, Qixian Zou, Bingnan Dong

“…Using species presence data and environmental variables, we analyzed habitat selection through a resource selection function (RSF). …”
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Impact of Artificial Intelligence on Human Resource Management Practices: A Qualitative Study in Hyderabad, Pakistan’s Banking Sector by Sahar Akhtar Mughal, Mohammed Bilal Memon, Faraz Ali Memon

“… Artificial Intelligence (AI) is reshaping the way Human Resource Management (HRM) functions within organizations. …”
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Potential Source Regions and Transportation Pathways of Reactive Gases at a Regional Background Site in Northwestern China by Quanwei Zhao, Qing He, Lili Jin, Jianlin Wang

“…Wind rose, cluster analysis, potential source contribution function (PSCF), and concentration-weighted trajectory (CWT) methods were adopted for identifying the transport pathways and potential source regions of these atmosphere components at Akedala. …”
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Optimization of CNN Activation Functions using Xception for South Sulawesi Batik Classification by Aswan Aswan, Eva Yulia Puspaningrum, Billy Eden William Asrul

“…The results demonstrate that selecting an optimal activation function substantially enhances convolutional neural network classification of complex batik patterns. …”
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Exploration of crop germplasm resources knowledge mining in Chinese ancient books: a route toward sustainable agriculture by Wenjuan Zhao, Suoling Zhu, Yuan Cao

“…It is a complement to the current collection and utilization of germplasm resources. Furthermore, some of the excellent varieties discovered still possess good trait stability after nearly a century of natural evolution and artificial selection, which provides a solid germplasm base for sustainable agricultural development. …”
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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…Existing commercial systems are costly and inflexible for customization, while current open-source tools are often lack of real-time functionality and suffer from steep learning curve. …”
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Characterization analyses of MADS-box genes highlighting their functions with seed development in Ricinus communis by Jing Sun, Zekun Zhou, Fanqing Meng, Mengyun Wen, Aizhong Liu, Anmin Yu, Anmin Yu, Anmin Yu

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Conceptual principles of formation and functioning of vertically integrated structures by V.A. Topilo, V.K. Danylko

“…Based on the decomposition analysis, the paper clarifies the concept of «vertically integrated structure», which should be understood as a form of functioning the business structure, that arose by combining financial, production, labor resources of various organizational and legal forms related to the technological cycle (the process of supply, production and sale of products) in order to obtain maximum synergy and strategic competitive advantages. …”
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Is there a future for livestock in a sustainable food system? Efficiency, sufficiency, and consistency strategies in the food-resource nexus by Isabel Jaisli, Gianluca Brunori

“…Livestock production has been identified as the most relevant factor for the sustainability of future food system and is anticipated to be increasingly influenced by competition for critical resources such as land and water, the rivalry between food and feed, and the imperative to function within a carbon-constrained economy. …”
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Boosting feature selection efficiency with IMVO: Integrating MVO and mutation-based local search algorithms by Maryam Askari, Farid Khoshalhan, Hodjat Hamidi

“…Our method balances exploration and exploitation, focusing resources on the most promising regions, thus enhancing feature selection effectiveness and reducing computational costs. …”
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A Self-Adaptive Particle Swarm Optimization Based Multiple Source Localization Algorithm in Binary Sensor Networks by Long Cheng, Yan Wang, Shuai Li

“…Then the maximum likelihood estimator is employed to establish the objective function which is used to estimate the location of sources. …”
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Fast detection method for radionuclides based on Sequential Bayesian approach by WAN Linjian, ZHANG Xuan, ZHANG Chunlei, HUANG Jianwei, LIU Jiacheng, ZHANG Xiaole, LI Dehong, YANG Zhijun

“…Finally, experimental verifications were conducted on the feasibility, detection performance, and universality of the method by placing a set of standard point sources at different distances from the front of a LaBr3(Ce) detection system in both low and natural radiation background environments. …”
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Vehicular cache nodes selection algorithm under load constraint in C-V2X by Zhexin XU, Kaimeng GAO, Wenkang JIA, Yi WU

“…In order to solve the problem that the C-V2X vehicle topology in urban environment was highly dynamic and the load capacity of vehicle nodes was limited, and improve the utilization of vehicular cache resources and reduce the load of base station, a vehicle cache nodes selection algorithm under load constraints was proposed.Firstly, by defining the link stability metric, the predicted weight adjacency matrix was constructed to describe the vehicular micro-topology in essence.Next, the objective function was further constructed under the load constraints and non-overlapping coverage constraint, which maximized the average link weight of the clusters by using the least cache nodes.Finally, the greedy concept was then introduced and the node states were reasonably defined.As a result, the minimum dominating set of the vehicle topology was figured out under the load constraints.Besides, the serviced neighbor nodes were then determined preferentially.The simulation results show that the proposed algorithm is close to the global optimal results in terms of the number of cache nodes and the average weight of cluster links.Moreover, the repeated response ratio of the proposed algorithm is always zero while the request response ratio can achieve the theoretical upper bound.Furthermore, the response times of cache resources can be also effectively improved.…”
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Introduction of AI Technology for Objective Physical Function Assessment by Nobuji Kouno, Satoshi Takahashi, Masaaki Komatsu, Yusuke Sakaguchi, Naoaki Ishiguro, Katsuji Takeda, Kyoko Fujioka, Ayumu Matsuoka, Maiko Fujimori, Ryuji Hamamoto

“…This paper explored how artificial intelligence (AI) could predict physical function scores from various patient data sources and reviewed methods to measure objective physical function using this technology. …”
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Identification of Selection Signatures Related to Johne\'s Disease in Iranian Holstein Cows using Genomic Data by Fateme Navoshki, Hossein Moradi shahr babak, Ali Sadeghi Sefid Mazgi, johann soelkner

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