Dynamic optimization of solar DG and shunt capacitor placement to mitigate the impact of EV charging stations on power distribution network by T. Yuvaraj, M. Thirumalai, T.D. Suresh, Sudhakar Babu Thanikanti, Mohammad Khishe

“…The proposed method aims to minimize a multi-objective function incorporating real and reactive power losses, voltage deviation, and voltage stability, thereby enhancing the stability and reliability of RDN operations. …”
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The role of prefrontal cortex in chronic low back pain with comorbid depression: A resting-state fMRI study by Yanqiao Zhao, Chen Gong, Pan Zhu, Suimin Guo, Yangyang Lin, Yafei Wang, Beibei Feng, Xiaochun Meng, Yuling Wang

“…CLBP patients with comorbid depression exhibit abnormal regional homogeneity in regions involving the DLPFC, and altered functional networks are observed between the DLPFC and other areas. …”
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A resting-state fMRI cross-sectional study of cardiorespiratory fitness decline after stroke by Qingming Qu, Kexu Zhang, Hewei Wang, Hewei Wang, Jie Zhu, Jie Zhu, Yingnan Lin, Jie Jia, Jie Jia, Jie Jia

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Understanding the influence of plant genetic factors on rhizosphere microbiome assembly in Panax notoginseng by Liping Shi, Mingming Yang, Guangfei Wei, Xiuye Wei, Xiuye Wei, Fei Hong, Jiaxiang Ma, Zhe Wu, Yuqing Zheng, Miyi Yang, Shilin Chen, Shilin Chen, Guozhuang Zhang, Linlin Dong

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An Optimized Model for Identification of Cerebral Palsy Using Deep Learning by Md Anjar Ahsan, Hassan bin Mohammed, Abhilash Maroju, Nurhafizah Moziyana Mohd Yusop, Wan Su Emi Yusnita Wan Yusof, Najjah Salwa Abd Razak, Mohd Arif Dar

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Survey of the intelligent and connected vehicle cybersecurity by Wufei WU, Renfa LI, Gang ZENG, Yong XIE, Guoqi XIE

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One-month atogepant treatment induces rapid changes in delta-band functional connectivity in migraine: an HD-EEG study by Matteo Conti, Silvio Bagetta, Federico Carparelli, Valerio Ferrari, Vittoria Carla D’Agostino, Fabio Placidi, Alessandro Stefani, Nicola Biagio Mercuri, Maria Albanese

“…To identify changes related to treatment, we applied Network-Based Statistics (NBS), while Spearman correlation was used to explore the relationship between clinical improvements and functional changes. …”
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Design of Morlet Wavelet Neural Networks for Solving the Nonlinear Van der Pol–Mathieu–Duffing Oscillator Model by Ali Hasan Ali, Muhammad Amir, Jamshaid Ul Rahman, Ali Raza, Ghassan Ezzulddin Arif

Subjects: “…Morlet wavelet neural network…”
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Interaction effect analysis of distributed photovoltaic access to distributed network based on single-port reduced model by Xiankui WEN, Ke ZHOU, Junwei ZHANG, Mingjun HE, Yongxiang CAI

Subjects: “…high penetration photovoltaic distribution network…”
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Functional Connectivity Assessment in Alzheimer's Disease: A Comparative Study of Linear and Non-linear fMRI Analysis Approaches by Hessam Ahmadi, Emad Fatemizadeh, Ali Motie Nasrabadi

“…For non-linear approaches, Distance Correlation (DC) and the kernel trick are utilized. Functional brain networks are constructed and sparsified for each AD stage, followed by calculating global graph measures. …”
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Trigonella foenum-graecum L. protects against renal function decline in a mouse model of type 2 diabetic nephropathy by modulating the PI3K-Akt-ERK signaling pathway by Yang Niu, Hongjuan Niu, Luxuan Chi, Peihang Li, Jiyang Du, Xiaoqian Wang, Xu He, Binan Lu, Zongran Pang

“…Finally, quantitative real-time polymerase chain reaction (QRT-PCR) and Western blot (WB) techniques were employed to validate the expression levels of key genes and proteins, thereby confirming the molecular mechanisms underlying the effects of HLB in DN.ResultsAnimal experiments indicated that HLB significantly improved blood glucose regulation and renal function while reducing oxidative stress and abnormalities in lipid metabolism in diabetic mice. …”
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Structural and Functional Characterization of the Signaling Molecule Autoinducer-2 Synthesis Enzyme S-Ribosylhomocysteinase in Limosilactobacillus fermentum by WEI Guangqiang, WANG Teng, XU Ziqi, WANG Yuzhu, ZHANG Wenbin, LI Xinglun, HUANG Aixiang

“…In addition, its structural and functional properties were explored by protein-protein interaction (PPI) network analysis. …”
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State-specific thalamic dysregulation in chronic insomnia revealed by dynamic edge-centric functional connectivity by Hancheng Ma, Xue Zhang, Xiaoran Ma, Mengmeng Yu, Yande Ren

“…Temporal attributes of dynamic functional networks showed no significant differences between the CI and HC groups. …”
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Optimal timing for assessing post-intensive care syndrome in clinical research: a scoping review and expert survey by Kohei Tanaka, Nobuto Nakanishi, Keibun Liu, Kyohei Miyamoto, Akira Kawauchi, Masatsugu Okamura, Sho Katayama, Yuki Iida, Yusuke Kawai, Junji Hatakeyama, Toru Hifumi, Takeshi Unoki, Daisuke Kawakami, Fumimasa Amaya, Kengo Obata, Hidenori Sumita, Tomoyuki Morisawa, Norihiko Tsuboi, Ryo Kozu, Shunsuke Takaki, Junpei Haruna, Kohei Ota, Yoshihisa Fujinami, Nobuyuki Nosaka, Kasumi Shirasaki, Shigeaki Inoue, Osamu Nishida, Kensuke Nakamura

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Graphormer Boosted: Molecular Property Prediction With Enhanced Graph Spatial and Edge Encodings by Sarah A. Fadlallah, Francesc Serratosa, Carme Julia

Subjects: “…Graph neural network…”
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Cannabidiol as a multifaceted therapeutic agent: mitigating Alzheimer's disease pathology and enhancing cognitive function by Iu Raïch, Jaume Lillo, Joan Biel Rebassa, Christian Griñán-Ferré, Aina Bellver-Sanchis, Irene Reyes-Resina, Rafael Franco, Mercè Pallàs, Gemma Navarro

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On a Periodic Predator-Prey System with Holling III Functional Response and Stage Structure for Prey by Xiangzeng Kong, Zhiqin Chen, Li Xu, Wensheng Yang

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Small open reading frame-encoded microproteins in cancer: identification, biological functions and clinical significance by Tingting Zhang, Zhang Li, Jiao Li, Yong Peng

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Neural Posterior Estimation for Cataloging Astronomical Images with Spatially Varying Backgrounds and Point Spread Functions by Aakash Patel, Tianqing Zhang, Camille Avestruz, Jeffrey Regier, The LSST Dark Energy Science Collaboration

“…However, ground-based astronomical images exhibit spatially varying sky backgrounds and point spread functions (PSFs), and accounting for this variation is essential for constructing accurate catalogs of imaged light sources. …”
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Unravelling the transcriptomic symphony of muscle ageing: key pathways and hub genes altered by ageing and caloric restriction in rat muscle revealed by RNA sequencing by Gulam Altab, Brian J. Merry, Charles W. Beckett, Priyanka Raina, Inês Lopes, Katarzyna Goljanek-Whysall, João Pedro de Magalhães

“…RNA-seq data were subjected to Gene Ontology, pathway, co-expression, and interaction network analyses. This revealed the functional pathways most activated by both ageing and CR, as well as the key “hub” proteins involved in their activation. …”
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