Rethinking Brain Cancer Therapy: Tumor Enzyme Activatable Theranostic Nanoparticles by Heike E. Daldrup-Link MD, PhD

“…This invited commentary discusses a recent article by Mohanty et al in Molecular Cancer Therapeutics about significant therapeutic efficacies of novel theranostic nanoparticles (TNPs) for the treatment of human brain cancers in mouse models. The TNPs were cleaved by enzymes in the tumor tissue, matrix metalloproteinase (MMP-14), which lead to release of a highly potent therapeutic drug, azademethylcolchicine. …”
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Global Information Management Model and Identification Method Based on Deep Reinforcement Learning by RuiLe Lan, XiJia He

“…It develops and utilizes information and provides new knowledge based on the information processing capabilities of the human brain. Its essence lies in understanding the inner connection of things and thinking about problems by obtaining relevant data, so as to achieve the learning goal. …”
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Chaos in Physiological Control Systems: Health or Disease? by Olfa Boubaker

“…This is for example the case of human brain behavior. As the boundary between health and disease is not always clear-cut in chaotic systems in physiology, some conditions may involve transitions between ordered and chaotic states. …”
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Transcranial vibration stimulation at 40 Hz induced neural activity and promoted the coupling of global brain activity and cerebrospinal fluid flow by Linghan Kong, Wei Jin, Yue Jiang, Fuhua Yan, Jun Liu, Eric C. Leuthardt, Guang-Zhong Yang, Yuan Feng

“…Objective: To investigate the effects of 40 Hz transcranial vibration stimulation (TVS) on human brain activity, specifically focusing on changes in the Amplitude of Low-Frequency Fluctuation (ALFF), fractional ALFF (fALFF) and Regional Homogeneity (ReHo) as measures of spontaneous brain activity. …”
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Cell-specific transcriptional signatures of vascular cells in Alzheimer’s disease: perspectives, pathways, and therapeutic directions by Soumilee Chaudhuri, Minyoung Cho, Julia C. Stumpff, Paula J. Bice, Özkan İş, Nilüfer Ertekin-Taner, Andrew J. Saykin, Kwangsik Nho

“…Here, we provide an overview of rich transcriptional signatures derived from recent single-cell and single-nucleus transcriptomic studies of human brain vascular cells and their implications for targeted therapy for AD. …”
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Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction by Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli

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Comparison of brain activity metrics in Chinese and Russian students while perceiving information referencing self or others by Q. Si, J. Tian, V. A. Savostyanov, D. A. Lebedkin, A. V. Bocharov, A. N. Savostyanov

“…One of the problems of neuroimaging technology is the creation of methods for studying human brain activity in socially oriented conditions by using modern information approaches. …”
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Modeling of Brain Shift Phenomenon for Different Craniotomies and Solid Models by Alvaro Valencia, Benjamin Blas, Jaime H. Ortega

“…We created a generic 3D brain model based on healthy human brain and modeled the brain parenchyma as single continuum and constrained by a practically rigid skull. …”
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Ensemble Classification Approach for Sarcasm Detection by Jyoti Godara, Isha Batra, Rajni Aron, Mohammad Shabaz

“…Cognitive science is a technology which focuses on analyzing the human brain using the application of DM. The databases are utilized to gather and store the large volume of data. …”
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Application of Sports Clustering Deconstruction Based on Neural Network by Xiaobing Ma

“…Then, a knowledge framework was formed by simulating a large number of human brain neuron structures, which can solve the problems existing in the motion cluster analysis to a certain extent. …”
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Computational Representation of White Matter Fiber Orientations by Adelino R. Ferreira da Silva

“…The method holds promise to support robust tractographic methodologies and to build realistic models of white matter tracts in the human brain.…”
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A Primal Analysis System of Brain Neurons Data by Dong-Mei Pu, Da-Qi Gao, Yu-Bo Yuan

“…It is a very challenging work to classify the 86 billions of neurons in the human brain. The most important step is to get the features of these neurons. …”
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Synaptic Cell Adhesion Molecules in Alzheimer’s Disease by Iryna Leshchyns’ka, Vladimir Sytnyk

“…Genetic studies and biochemical analysis of the human brain tissue, cerebrospinal fluid, and sera from AD patients indicate that levels and function of synaptic cell adhesion molecules are affected in AD. …”
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THE BIONIC INTELLIGENT FAULT DIAGNOSIS BASED ON COMPREHENSIVE DIFFERENCES MINING FOR HYDRO TURBINE by CHEN XiaoYue, GE Dang, HUANG JiangPing, LIU Xiong, ZHANG XiaoYan

“…For the faults of hydropower unit with strong coupling and uncertainty,the traditional fault expression method based on the uniform feature vector is easy to submerge the effect of fault expression and limit the fault diagnosis accuracy and timeliness directly.Given this,we presented a bionic fault diagnosis method,which imitates the human brain thinking and proposes the concept of dependent feature vector（DFV）,which logical structure is described by feature selection tree and extracted by feature extraction tree.DFV deeply excavates the intricate relationship between faults by using its nested structure,and realizes the comprehensive mining of the quantity and quality differences between faults of hydroelectric units.It deeply reveals the intrinsic relationship between different faults and faults and features,effectively extracts the essential differences of different faults,and improves the validity of fault expression.Furthermore,the intelligent classification method is realized by combining DFV and probabilistic neural network,the experimental results show that the method can complete the fault diagnosis of hydropower units and achieve excellent diagnostic validity and timeliness.…”
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Qualitative and quantitative knowledge of metasynthesis based on fuzzy system by CHEN Dewang, LIU Lili, ZHAO Wendi, OU Jixiang, SUN Yanyan, ZHENG Nan

“…The fuzzy system simulates the reasoning process of human brain. It can not only use the qualitative knowledge of experts, but also learn fuzzy rules from the data, and use the way of rule mapping to realize the system decision of uncertain problems. …”
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Research on How Human Intelligence, Consciousness, and Cognitive Computing Affect the Development of Artificial Intelligence by Yanyan Dong, Jie Hou, Ning Zhang, Maocong Zhang

“…In the future, the research and development of cutting-edge technologies such as brain-computer interface (BCI) together with the development of the human brain will eventually usher in a strong AI era, when AI can simulate and replace human’s imagination, emotion, intuition, potential, tacit knowledge, and other kinds of personalized intelligence. …”
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Total Variation Regularization of Matrix-Valued Images by Oddvar Christiansen, Tin-Man Lee, Johan Lie, Usha Sinha, Tony F. Chan

“…We perform numerical experiments on both synthetical data and 3D human brain DTI, and measure the quantitative behavior of the proposed model.…”
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Suppression of MRI Truncation Artifacts Using Total Variation Constrained Data Extrapolation by Kai Tobias Block, Martin Uecker, Jens Frahm

“…The effectiveness of these methods is demonstrated with simulations as well as experimental data for a phantom and human brain in vivo.…”
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Stationarity assessment of resting state condition via permutation entropy on EEG recordings by Alessio Perinelli, Leonardo Ricci

“…Abstract The analysis of electrophysiological recordings of the human brain in resting state is a key experimental technique in neuroscience. …”
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Stress landscape of folding brain serves as a map for axonal pathfinding by Akbar Solhtalab, Ali H. Foroughi, Lana Pierotich, Mir Jalil Razavi

“…Model predictions are supported by in vivo diffusion tensor imaging of the human brain.…”
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