Bioactive matters based on natural product for cardiovascular diseases by Linfang Zhong, Xiaoying Tan, Wenhui Yang, Peishan Li, Lianbao Ye, Qi Luo, Honghao Hou

Get full text

Multifunctional Evaluation and Spatio-temporal Evolution Analysis of Cultivated Land in Guangdong Province by Junmei ZANG, Xiao FU, Shengxiang LIU, Hui LI

“…【Objective】The study aims to investigate the spatio-temporal dynamics of cultivated land use functions in 21 prefecture-level cities in Guangdong Province, and to promote the sustainable utilization of cultivated land resources and optimal allocation of cultivated land use functions in Guangdong Province.…”
Get full text

Pyruvate formate lyase regulates fermentation metabolism and virulence of Streptococcus suis by Qingying Fan, Haikun Wang, Shuo Yuan, Yingying Quan, Rishun Li, Li Yi, Aiqing Jia, Yuxin Wang, Yang Wang

Get full text

Does tinnitus and emotional distress influence central auditory processing? A comparison of acute and chronic tinnitus in normal-hearing individuals. by Qian Zhou, Wenling Jiang, Haibin Sheng, Qinjie Zhang, Dian Jin, Haifeng Li, Meiping Huang, Lu Yang, Yan Ren, Zhiwu Huang

“…<h4>Design</h4>This study compared the auditory afferent and efferent functions of normal-hearing patients with acute tinnitus, chronic tinnitus, and control group using gap detection test, the Mandarin Hearing in Noise Test (MHINT), and contralateral suppression of transient evoked otoacoustic emissions (TEOAEs).…”
Get full text

AI-Supported Decision Making in Multi-Agent Production Systems Using the Example of the Oil and Gas Industry by Polina A. Sharko, Zhanna V. Burlutskaya, Daria A. Zubkova, Aleksei M. Gintciak, Kapiton N. Pospelov

“…As a promising approach to resource allocation challenges, the application of AI tools, particularly the multi-agent approach, is proposed. …”
Get full text

Comparatively profiling the transcriptome of human, Porcine and mouse oocytes undergoing meiotic maturation by Naru Zhou, Xin Wang, Yi Xia, Zongliang Liu, Lei Luo, Rentao Jin, Xianhong Tong, Zhenhu Shi, Zhichao Wang, Heming Sui, Yangyang Ma, Yunsheng Li, Zubing Cao, Yunhai Zhang

Get full text

Advancing wind energy potential estimation through multidistribution wind speed analysis in coastal Pakistan by Ghulam Abbas, Arshad Ali, Zohaib Mushtaq, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

“…The assessment of wind energy potential is critical to the optimization of resource application and improvement of technologies. …”
Get full text

Melatonin: A Novel Indolamine in Oral Health and Disease by V. K. Chava, K. Sirisha

“…Recent studies, by Claustrat et al. (2005), detected few extrapineal sources of melatonin like retina, gastrointestinal tract, and salivary glands. …”
Get full text

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. …”
Get full text

Soil moisture and precipitation intensity jointly control the transit time distribution of quick flow in a flashy headwater catchment by H. Türk, C. Stumpp, M. Hrachowitz, K. Schulz, P. Strauss, G. Blöschl, M. Stockinger

Get full text

Routing algorithm for heterogeneous computing force requests based on computing first network by ZHANG Gang, LI Xi

“…By constructing a solution matrix and utilizing evaluation functions, random selection of feasible solutions, and the principle of low demand priority avoidance, a set of feasible solution sets was ultimately found. …”
Get full text

Characterization of Spectrin Family Genes and Their Evolutionary Roles in Domestication and Breeding of the Silkworm <i>Bombyx mori</i> by Kunpeng Lu, Chengyu Zhan, Jianghong Shen, Chao Zhi, Jun Deng, Kerui Lai, Minjin Han, Hai Hu, Xiaoling Tong, Fangyin Dai

Get full text

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. …”
Get full text

Key Generation in Cryptography Using Elliptic-Curve Cryptography and Genetic Algorithm by Sanjay Kumar, Deepmala Sharma

“…Chromosomes representing points on an elliptic curve are initialized randomly, evaluated for their proximity to a predefined target point using a fitness function, and subjected to tournament selection to determine parents for the next generation. …”
Get full text

Network access and spectrum allocation in next-generation multi-heterogeneous networks by Xiaoqing Dong, Lianglun Cheng, Gengzhong Zheng, Tao Wang

“…In this article, with the goal of maximizing the total transmission rate and minimizing the total cost, a dual-objective optimization mathematical model for network selection and idle spectrum allocation is established in the context of comprehensive consideration of the diversity of spectrum resource attributes and the diversification of secondary users’ business needs. …”
Get full text

Demand-aware traffic cooperation for self-organizing cognitive small-cell networks by Changhua Yao, Lei Zhu, Yongxing Jia, Lei Wang

“…To solve the distributed self-organizing traffic cooperation coalition formation problem, we propose three coalition formation algorithms: the first one is the Binary Preferring Traffic Cooperation Coalition Formation Algorithm based on the traditional Binary Preferring order; the second one is the Best Selection Traffic Cooperation Coalition Formation Algorithm based on the functional Best Selection order to improve the converging speed; and the third one is the Probabilistic Decision Traffic Cooperation Coalition Formation Algorithm based on the functional Probabilistic Decision order to improve the performance of the formed coalition. …”
Get full text

Investigating the AGN-neutrino connection with public IceCube data by Kuhlmann Julian, Capel Francesca

“…We present the first application of a newly developed hierarchical Bayesian analysis framework for the detection of point-like sources of high-energy neutrinos. …”
Get full text

Optimization of Deep Neural Networks Using a Micro Genetic Algorithm by Ricardo Landa, David Tovias-Alanis, Gregorio Toscano

“…By exploring different representations and objective functions, including classification accuracy, hidden neuron ratio, minimum redundancy, and maximum relevance for feature selection, eight algorithmic variants were developed, with six variants performing both hidden layers reduction and feature-selection tasks. …”
Get full text

Spatial heterogeneity of forest carbon stocks in the Xiangjiang river Basin urban agglomeration: analysis and assessment based on the multiscale geographically weighted regression... by Yingfeng Kuang, Xiaolong Chen

“…This finding provides a crucial scientific basis for the management and ecological protection of forest resources in the Xiangjiang River Basin.ConclusionThis study effectively reflects the spatial relationship between forest carbon stocks and variables through the geographically weighted regression method and the selection of appropriate spatial kernel functions, enhances the estimation accuracy of the spatial distribution of large-scale forest carbon stocks, and accurately reveals the spatial distribution pattern of forest carbon stocks in the Xiangjiang River Basin. …”
Get full text

Dynamic Optimization of Recurrent Networks for Wind Speed Prediction on Edge Devices by Laeeq Aslam, Runmin Zou, Ebrahim Shahzad Awan, Sayyed Shahid Hussain, Muhammad Asim, Samia Allaoua Chelloug, Mohammed A. ELAffendi

“…An adaptive Simulated Annealing algorithm with memory-based rejection (aSAR) navigates the discrete design space, employing nine objective functions that balance Mean Absolute Percentage Error (MAPE) against model compactness. …”
Get full text