Music tempo modulates emotional states as revealed through EEG insights by Zengyao Yang, Qiruo Su, Jieren Xie, Hechong Su, Tianrun Huang, Chengcheng Han, Sicong Zhang, Kai Zhang, Guanghua Xu

“…The findings of this study elucidate the effects of music tempo on the brain functional networks related to emotion regulation, providing a theoretical basis for music-assisted diagnosis and treatment of mood disorders. …”
Get full text

The alteration of the sensorimotor network in trigeminal neuralgia after microvascular decompression surgery: a follow-up study using independent component analysis by Yan Zhang, Yan Zhang, Xueju Wang, Xuefeng Wang, Gengdi Huang

“…The sensorimotor network playing a key role in pain modulation, identifying neuroimaging differences in the sensorimotor network is crucial for detecting and intervening in TN, Forty TN patients underwent MVD surgery, with follow-up assessments conducted 6 months postoperatively and twenty-five healthy controls (HC) were recruited and scanned with resting state fMRI (rs-fMRI). …”
Get full text

Short-term alterations of brain network properties in subthreshold depression: the impact of Internet-based Cognitive Behavioral Therapy by Wenquan Yu, Yuchen Ying, Li Wang, YiLing Yang, Li Zhang, Yu Wang, Zili Zhu, Hui Zhang, Yuning Pan

“…This study aims to conduct resting-state functional MRI (rs-fMRI) to explore the effects of ICBT on neurofunctional network.MethodsThis short-term longitudinal study enrolled 30 sD patients and 24 healthy matched participants. …”
Get full text

Identifying Features of Resilience to Childhood Maltreatment in Resting-State Connectivity Data From Adults With and Without a History of Mood Disorder by Mindy Westlund Schreiner, Leah R. Thomas, Ha D.H. Le, Myah Pazdera, Daniel A. Feldman, Brian Farstead, Katie L. Bessette, Robert C. Welsh, Sheila E. Crowell, Erin A. Kaufman, Heide Klumpp, Scott A. Langenecker

“…However, some people may develop subsequent psychopathology but recover and demonstrate higher global functioning (secondary resilience). This study investigated the role of salience and emotion network (SEN) (including the amygdala, subgenual anterior cingulate cortex, and anterior insula) and cognitive control network (CCN) (including the dorsolateral prefrontal cortex, inferior parietal lobule, and thalamus) connectivity in primary and secondary resilience. …”
Get full text

Time-Dependent Fragility Functions and Post-Earthquake Residual Seismic Performance for Existing Steel Frame Columns in Offshore Atmospheric Environment by Xiaohui Zhang, Xuran Zhao, Shansuo Zheng, Qian Yang

“…Based on the test and numerical analysis results, probability distributions of the fragility function parameters (median and logarithmic standard deviation) are constructed. …”
Get full text

A malware detection method with function parameters encoding and function dependency modeling by Ronghao Hou, Dongjie Liu, Xiaobo Jin, Jian Weng, Guanggang Geng

“…As computers are widely used in people’s work and daily lives, malware has become an increasing threat to network security. Although researchers have introduced traditional machine learning and deep learning methods to conduct extensive research on functions in malware detection, these methods have largely ignored the analysis of function parameters and functional dependencies. …”
Get full text

Flexible electronic skin based on silk fibroin/reduced graphene oxide composite membrane with stretchability, conductivity and biocompatibility by Shu-Dong Wang, Jin Yan, Ke Wang, Chen Ding

Get full text

Functional transformation of settlements in coal exploitation zones: A case study of the municipality of Stanari in Republic of Srpska (Bosnia and Herzegovina) by Delić Dragica, Gatarić Dragica, Ratkaj Ivan, Mandić Mira, Poljašević Branka Zolak, Sabljić Luka, Lukić Tin

“…This study explores how long-term surface coal exploitation has affected the distribution of economic functions and contributed to hierarchical changes within the settlement network of the municipality of Stanari. …”
Get full text

Advanced ENF Region Classification Using UniTS-SinSpec: A Novel Approach Integrating Sinusoidal Activation Function and Spectral Attention by Yujin Li, Tianliang Lu, Gaojun Zeng, Kai Zhao, Shufan Peng

“…The electric network frequency (ENF), often referred to as the industrial heartbeat, plays a crucial role in the power system. …”
Get full text

Signal Processing in Passive Radar Systems Using 5G: A Simulation Study by Van Tuan Nguyen, V. M. Kutuzov, E. N. Vorobev

“…The calculation of the cross-ambiguity function of the passive radar using the 5G signal was carried out by computer simulation.Results. …”
Get full text

A Study of the Optimal Logic Combinations of RO-Based PUFs on FPGAs to Maximize Identifiability by Raúl Aparicio-Téllez, Miguel Garcia-Bosque, Guillermo Díez-Señorans, Francisco Aznar, Santiago Celma

“…One of the challenges that wireless sensor networks (WSNs) need to address is achieving security and privacy while keeping low power consumption at sensor nodes. …”
Get full text

Service customized networking by Yun-jie LIU, Tao HUANG, Jiao ZHANG, Jiang LIU, Hai-peng YAO, Ren-chao XIE

“…Today's Internet faces many challenges,two of which need to be addressed urgently.One is that most band-width is taken by OTT services,and the other one is that the content in the Internet is highly redundant.To address these two problems,a novel future Internet architecture,named as service customized networking (SCN),is proposed to pro-vide differentiated services.SCN is designed based on the software-defined networking (SDN) technology.It inherits the two advantages of SDN,that is,separation of control and data plane and programmable networking.Besides,SCN adds the function of network virtualization,and intelligent content scheduling.SCN avoids OTT services taking too much bandwidth through employing the network virtualization technology to provide differentiated services.Besides,SCN ef-fectively eliminates content redundancy by intelligent content scheduling.The results of experiments conducted on a real small-scale testbed indicate that SCN indeed provides differentiated services for different users and largely reduces con-tent redundancy.…”
Get full text

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. …”
Get full text

Network structure influences self-organized criticality in neural networks with dynamical synapses by Yoshiki A. Sugimoto, Hiroshi Yadohisa, Masato S. Abe, Masato S. Abe, Masato S. Abe

“…In this study, we conducted numerical simulations using a simplified neural network model to investigate how network structure may influence SOC. …”
Get full text

GNEA: A Graph Neural Network with ELM Aggregator for Brain Network Classification by Xin Bi, Zhixun Liu, Yao He, Xiangguo Zhao, Yongjiao Sun, Hao Liu

“…Brain networks provide essential insights into the diagnosis of functional brain disorders, such as Alzheimer’s disease (AD). …”
Get full text

Integrative in silico and in vivo Drosophila model studies reveal the anti-inflammatory, antioxidant, and anticancer properties of red radish microgreen extract by Trina Ekawati Tallei, Nova Hellen Kapantow, Nurdjannah Jane Niode, Sofia Safitri Hessel, Maghfirah Savitri, Fatimawali Fatimawali, Sojin Kang, Moon Nyeo Park, Muhammad Raihan, Widya Hardiyanti, Firzan Nainu, Bonglee Kim

“…These results suggest RRM extract as a functional food for managing oxidative stress, inflammation, and cancer. …”
Get full text

An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities by Yuanyuan Zhang, Manli Tian, Baolin Liu

“…IntroductionRecently, numerous studies have focused on the semantic decoding of perceived images based on functional magnetic resonance imaging (fMRI) activities. …”
Get full text

CMIP6 models overestimate sea ice melt, growth and conduction relative to ice mass balance buoy estimates by A. E. West, E. W. Blockley

“…An observational dataset derived from the Arctic ice mass balance buoy (IMB) network is used to evaluate fluxes of melt, growth and conduction produced by a subset of CMIP6 models, to better understand the model processes that underlie the large-scale sea ice states. …”
Get full text

Photonic–Electronic Modulated a-IGZO Synaptic Transistor with High Linearity Conductance Modulation and Energy-Efficient Multimodal Learning by Zhidong Hou, Jinrong Shen, Yiming Zhong, Dongping Wu

“…The device demonstrates biological synaptic functionalities, including excitatory/inhibitory post-synaptic currents (EPSCs/IPSCs) and spike-timing-dependent plasticity, while achieving excellent conductance modulation characteristics (nonlinearity of 0.0095/−0.0115 and asymmetric ratio of 0.247) and successfully implementing Pavlovian associative learning paradigms. …”
Get full text

Polygonatum sibiricum polysaccharides enhance pancreatic β-cell function in diabetic zebrafish by mitigating mitochondrial oxidative damage via the AMPK-SIRT1 pathway by Fan Lin, Wenjing Yu, Wenjing Yu, Ping Li, Ping Li, Shuyao Tang, Yitong Ouyang, Liya Huang, Di Wu, Shaowu Cheng, Shaowu Cheng, Zhenyan Song, Zhenyan Song

“…Network pharmacology analysis was used to predict PSP targets, and molecular docking validated key protein interactions. …”
Get full text