Sensory integration research: priority scientific directions based on the analysis of Web of Science Core Collection resources by Olha Podrihalo, Wladyslaw Jagiello, Guo Xiaohong, Leonid Podrigalo, Tetiana Yermakova, Miroslawa Cieslicka

“…The bibliometric database Web of Science Core Collection (WoS) was analyzed. 388 sources that met the search criteria for 2013-2023 were selected for primary analysis. …”
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Web 2.0 as Catalyst: Virtually Reaching Out to Users and Connecting Them to Library Resources and Services. by Norah Xiao

“…These Web 2.0 technologies function as catalysts which help lower human barriers between my users and me, enable me to reach my users virtually, and attract users to resources from the library as well as various services I provided [ABSTRACT FROM AUTHOR] …”
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Antioxidant Peptides Derived from Woody Oil Resources: Mechanisms of Redox Protection and Emerging Therapeutic Opportunities by Jia Tu, Jie Peng, Li Wen, Changzhu Li, Zhihong Xiao, Ying Wu, Zhou Xu, Yuxi Hu, Yan Zhong, Yongjun Miao, Jingjing Xiao, Sisi Liu

“…Antioxidant peptides derived from woody oil resource by-products exhibit strong free radical scavenging abilities and offer potential applications in functional foods, nutraceuticals, and cosmetics. …”
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Optimization of D2D emergency communication resources for UAV relay based on DA-STD3 by Xiaofang Deng, Zijian Deng, Lin Zheng, Chao Yang, Chuanxu Chen

“…By designing the reward function and training mechanism, we can achieve good power control and reduce communication interference. …”
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Exploring the impact of GeoGebra on preservice teachers’ proficiency in teaching grade 10 parabola functions by Abongile Ngwabe, Marc Schafer

“…This paper investigates the development of teaching proficiency among preservice teachers in Grade 10 parabola functions through the use of GeoGebra. A significant number of preservice teachers encounter challenges in effectively teaching parabola functions due to limited resources for illustrating complex mathematical relationships, which can impede both their teaching proficiency and the students' conceptual understanding. …”
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Mineral Content of Four Mexican Edible Flowers Growing in Natural Conditions and Backyards from Indigenous Communities by Rubí Marcos-Gómez, Araceli M. Vera-Guzmán, Mónica L. Pérez-Ochoa, Laura Martínez-Martínez, Sanjuana Hernández-Delgado, David Martínez-Sánchez, José L. Chávez-Servia

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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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Hardcoded vulnerability detection approach for IoT device firmware by Chao MU, Xin WANG, Ming YANG, Heng ZHANG, Zhenya CHEN, Xiaoming WU

“…With the popularization of IoT devices, more and more valuable data is generated.Analyzing and mining big data based on IoT devices has become a hot topic in the academic and industrial circles in recent years.However, due to the lack of necessary detection and protection methods, many IoT devices have serious information security risks.In particular, device hard-coded information is closely related to system encryption and decryption, identity authentication and other functions, which can provide confidentiality protection for core data.Once this information is exploited by malicious attackers, serious consequences such as sensitive information leakage, backdoor attacks, and unauthorized logins will occur.In response to this problem, a multi-type character recognition and positioning scheme was designed and a hard-coded vulnerability detection method in executable files was proposed based on the study of the characteristics of hard-coded vulnerabilities in IoT devices.The proposed method extracted the firmware of IoT devices and filtered all executable files as the source to be analyzed.Then, a solution to identify and locate three types of hard-coded characters was provided.Further, the reachability of the function, where the hard-coded character was located, was analyzed according to the function call relationship.Meanwhile, the instruction heterogeneity was mitigated by an intermediate representation (IR) model.The character and parameter hard-coded values was obtained through a data flow analysis approach.A symbolic execution method was devised to determine the trigger conditions of the hard-coded vulnerabilities, and then the vulnerability detection result was output.On the one hand, the proposed method introduced the method of symbolic execution based on the use of the intermediate representation model, which eliminated the dependency of instruction architecture and reduces the false positive rate of vulnerabilities; On the other hand, this method can integrate characters, files, and cryptographic implementation to realize the different characteristics of three types of hard-coded characters, which increased the coverage of vulnerability detection and improves the versatility of the detection method.The experimental results show that the proposed method can effectively detect three types of hard-coded vulnerabilities of characters, files and cryptographic implementation in various IoT devices, and has good detection accuracy, which can provide certain guidance for the deployment of subsequent security protection technologies.…”
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Advanced Nanoscale Functionalities for Water and Energy Technologies by Zhi Xu, Nan Wu, Soufiane Abdelghani‐Idrissi, Corentin Trégouët, Javier Perez‐Carvajal, Annie Colin, Ming Ma, Antoine Niguès, Alessandro Siria

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The functions of religion and science in utopian thinking in the middle ages and the early modern period by Hope Steffen

“…The selection of sources includes both widely-known utopian texts and materials that are rarely used in discussions of utopian thinking. …”
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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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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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Estimation of carbon sequestration capacity of urban green infrastructure by fusing multi-source remote sensing data by Jiahui Chang, Zhenfeng Shao, Jinyang Wang, Zhu Mao, Tao Cheng, Xiaodi Xu, Qingwei Zhuang

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Near extinction of the HBV quasispecies driven by the hard selective sweep in chronic hepatitis B by Daiqiang Lu, Andong He, Guichan Liao, Renyu Zhou, Zichun Cheng, Ka Cheuk Yip, Xiufang Wang, Wei Cao, Jiaojiao Peng, Ruiman Li, Jie Peng, Feng Gao

“…The nearly identical viral population suggests that all these viruses are from a single source. Predominant mutations were identified in known T cell epitopes but not in epitopes for neutralizing antibodies, indicating that the hard selective sweep is most likely driven by T cell selection pressure. …”
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Topology Optimization of the Network with Renewable Energy Sources Generation Based on a Modified Adapted Genetic Algorithm by A. M. Bramm, A. I. Khalyasmaa, S. A. Eroshenko, P. V. Matrenin, N. A. Papkova, D. A. Sekatski

“…The proposed genetic algorithm used two different functions of interbreeding, the function of mutation, selection of the best individuals and mass mutation (complete population renewal). …”
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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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Machine Learning and Feature Selection-Enabled Optimized Technique for Heart Disease Classification and Prediction by P. Nancy, Prasad Raghunath Mutkule, Kalpana Sunil Thakre, Ajay S. Ladkat, S.B.G. Tilak Babu, Sunil L. Bangare, Mohd Naved

“…It comes as no surprise that cardiovascular disease is a leading source of morbidity and death in contemporary society. …”
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Myeloma mesenchymal stem cells’ bioenergetics afford a novel selective therapeutic target by Oded Komemi, Elina Orbuch, Osnat Jarchowsky-Dolberg, Yaron Shraga Brin, Shelly Tartakover-Matalon, Metsada Pasmanik-Chor, Michael Lishner, Liat Drucker

“…Fission/fusion dynamics regulate mitochondria function. Proteomics demonstrates excessive mitochondrial processes in BM-MSCs from MM patients compared to normal donors (ND). …”
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Kriging-Based Variable Screening Method for Aircraft Optimization Problems with Expensive Functions by Yadong Wang, Xinyao Duan, Jiang Wang, Jin Guo, Minglei Han

“…The computational complexity of airfoil optimization for aircraft wing designs typically involves high-dimensional parameter spaces defined by geometric variables, where each Computational Fluid Dynamics (CFD) simulation cycle may require significant processing resources. Therefore, performing variable selection to identify influential inputs becomes crucial for minimizing the number of necessary model evaluations, particularly when dealing with complex systems exhibiting nonlinear and poorly understood input–output relationships. …”
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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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