Differences in the functional use of two migratory stopovers by humpback whales (Megaptera novaeangliae). by Raphael Mayaud, Joshua N Smith, David Peel, Craig Wilson, Wally Franklin, Tim Stevens, Susan Bengtson Nash

“…Therefore, contextualising the significance of Moreton Bay relative to a well-established stopover like Hervey Bay, can provide valuable insights into their functional roles within the broader migratory network, helping to inform targeted conservation efforts. …”
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Characterization and functional analysis of the BAM gene family in peanut (Arachis hypogaea L.) by Chaonan Shi, Peilin Li, Long Li, Long Li, Zhitao Qi, Tong Lu, Jinming Shi, Haodong Yang, Jin Wu, Jingyu Guo, Minghui Liu, Xiaozong Wu

“…AhBAM3 emerged as a key node within the protein-protein interaction network, then the GO analysis pinpointed starch metabolism and drought response as the primary functional enrichments for this gene family. …”
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Assessment of NUDT5 in Endometrial Carcinoma: Functional Insights, Prognostic and Therapeutic Implications by Hongfei Yu, Lingling Zu, Yuqin Zang, Fei Teng, Tao Wang, Ming Wu, Yingmei Wang, Fengxia Xue

“…Immunohistochemistry was used to evaluate NUDT5 protein levels and their correlation with clinicopathological features. Functional assays, including cell proliferation, migration, invasion, and apoptosis analysis, were conducted to determine the oncogenic effects of NUDT5 in vitro. …”
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Analysis of communities and groups in social networks as a significant factor of influence on cryptocurrency rates by Olena Gavrilenko, Mykhailo Myagkyi

“…The ranking of social networks was carried out by the value of the value function of alternatives, calculated using the linear convolution method. …”
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Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions by Akiyoshi Sutou, Jinfang Wang

“…Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent studies on loss functions for imbalanced data have primarily focused on deep learning. …”
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An Extension of the Quadratic Error Function for Learning Imprecise Data in Multivariate Nonlinear Regression by Castro Gbêmêmali Hounmenou, Kossi Essona Gneyou, Romain Glélé Kakaï

“…The simulation study and application case on real datasets conducted and based on multilayer perceptron neural networks (MLP) with bivariate continuous response and asymmetric revealed a significant gain in precision using the new quadratic error function for these types of data rather than using a classical generalized least squares error function having any covariance matrix.…”
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Abnormal intrahemispheric and interhemispheric dynamic functional connectivity density in male alcohol use disorder by Bohui Mei, Yarui Wei, Longyao Ma, Qiuying Tao, Jinghan Dang, Jieping Sun, Mengzhe Zhang, Yong Zhang, Jingliang Cheng

“…Furthermore, the dFCD values of these abnormal brain regions correlated with the average alcohol consumption and the severity of alcohol addiction in the AUD group.ConclusionsThe results indicate that brain regions associated with the salience network, default mode network, and visual network exhibited intrahemispheric and interhemispheric abnormal functional connectivity. …”
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The effects of nine types of exercise rehabilitation therapies on improving limb balance, cognitive and emotional function, and quality of life in elderly patients with Parkinson’s... by Jing Mao, Jing Mao, Yi Xia, Yimin Hu, Xuewu Yao

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Intelligent forecasting model for aquatic production based on artificial neural network by Junqiao Hu, Jingyu Yin, Chaohui Yang, Yanxi Zhou, Changqing Li, Changqing Li

“…In this study, four neural network models, namely Back Propagation (BP) neural network, BP neural networks optimized by Genetic Algorithms (GA-BP), Long Short-Term Memory neural networks (LSTM), and Radial Basis Function neural networks (RBF), are developed and compared to predict aquatic production in Zhanjiang City, China. …”
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Emotion anticipation and processing in depression: Behavioral, neural, and physiological reactivity by Magdalena Wlad, Wiebke Struckmann, Jonas Persson, Jörgen Rosén, David Fällmar, Robert Bodén, Malin Gingnell

“…Subjects underwent functional magnetic resonance imaging with simultaneous measurement of electrodermal activity. …”
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Repurposing major metabolites of lamiaceae family as potential inhibitors of α-synuclein aggregation to alleviate neurodegenerative diseases: an in silico approach by Soham Bhattacharya, Neha Gupta, Adrish Dutta, Pijush Kanti Khanra, Ritesh Dutta, Jana Žiarovská, Nikolay T. Tzvetkov, Lucie Severová, Lenka Kopecká, Luigi Milella, Eloy Fernández-Cusimamani

“…Functional network and enrichment pathway analysis established the direct or indirect involvement of α-syn in various NDs. …”
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The abnormal accumulation of pathological proteins and compensatory functional connectivity enhancement of insula subdivisions in mild cognitive impairment by Darui Zheng, Chen Xue, Yingcai Feng, Yiming Ruan, Wenzhang Qi, Qianqian Yuan, Zonghong Li, Chaoyong Xiao

“…Correlation analysis was further conducted to explore the relationship between altered FC and cognitive function. …”
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Functional connectivity across multi-frequency bands in patients with tension-type headache: a resting-state fMRI retrospective study by Jili Wang, Hongjie Shen, Qinyan Xu, Shuxian Zhang, Tian Li, Yun Zheng

“…This study aimed to examine abnormal network-level brain functional connectivity (FC) alterations in patients with TTH across multi-frequency bands. …”
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Efficient angle-aware coverage control for large-scale 3D map reconstruction using drone networks by Muhammad Hanif, Takumi Shimizu, Lu Zhiyuan, Masaya Suenaga, Takeshi Hatanaka

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Harnessing miRNA dynamics in HIV-1-infected macrophages: Unveiling new targeted therapeutics using systems biology by R. Harshithkumar, Mollina Kaul, Madhuri Chandane-Tak, Nikhat J. Siddiqi, Abdul Malik, Abdul Arif Khan, Anupam Mukherjee

“…Gene Ontology molecular function analysis was also conducted on the identified targets. …”
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Gradient descent Sarsa(?)algorithm based on the adaptive potential function shaping reward mechanism by Fei XIAO, Quan LIU, Qi-ming FU, Hong-kun SUN, Long GAO

“…In the reinforcement leaning tasks with continuous state spaces,the algorithms are usually facing the problems of ill initial performance and low convergence speed.In order to solve these problems,the potential function shaping reward mechanism was proposed to improve the reinforcement learning algorithms.This mechanism propagates model knowledge to the learner adaptively in the form of the additional reward signal,so that the initial performance and convergence speed could be improved effectively.In view of the good performance and existing problems of the radial basis function (RBF) network,the adaptive normalized RBF (ANRBF) network was put forward to use as a potential function to generate the shaping rewards.A gradient descent (GD)algorithm named ANRBF-GD-Sarsa(?) …”
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Organic amendments promote soil phosphorus related functional genes and microbial phosphorus cycling by Wenchao Wu, Yangjian Zhang, Benjamin L. Turner, Yunlong He, Xiaodong Chen, Rongxiao Che, Xiaoyong Cui, Xuejun Liu, Lin Jiang, Juntao Zhu

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Outage Analysis of THz-Enabled IRS-Assisted Multi-User Space–Air—Ground Integrated Networks by Ahmed M. Benaya, Mohamed I. AlHajri, Mahmoud H. Ismail, Mohamed S. Hassan, Taha Landolsi

“…Ubiquitous connectivity through the integration of terrestrial and non-terrestrial networks has become one of the crucial usage scenarios in the sixth generation (6G) vision. …”
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Altered Brain Functional Connectivity and Neurometabolite Correlations in Orofacial Chronic Pain with Central Sensitization by Terumitsu M, Takado Y, Fukuda KI, Kato E, Tanaka S, Tha KK

“…Chronic pain reportedly alters resting-state functional connectivity (FC) in the brain. The salience network (SN) overlaps with brain regions involved in chronic pain. …”
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Meta-analysis and in-silico functional characterization of the SNCA variant rs356220 in Parkinson’s disease by Shradha Menon, Naushad Rais

“…Subsequently, we characterized the functional impact of this non-coding variant in the pathophysiology of PD. …”
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