Dual-Streams Edge Driven Encoder-Decoder Network for Image Super-Resolution by Feng Li, Huihui Bai, Lijun Zhao, Yao Zhao

“…Instead of utilizing two sub-networks to learn edge information and color image contents respectively, a multitask learning framework is developed to jointly train edge-EDN and color-EDN. …”
Get full text

The effect of eight weeks of Yoga exercise on sustained attention and memory performance in people with Schizophrenia by Forozan Ivandar, farzad Mohammadi

“…Furthermore, in memory performance, the effect of Yoga exercises on general memory, mental control, associative learning, and visual memory subscales were significant (p<0.05). …”
Get full text

Enhancing Financial Literacy: A Progressive Web Application Approach for Malaysian Youth by Jun-Xuan Kok, Sin-Ban Ho, Chuie-Hong Tan

“…This research has the potential to add some additional enhancements to its existing functionality. For instance, it could introduce a predictive budgeting function that uses historical user spending data to perform predictive analysis.…”
Get full text

Assessment of neurobehavioral and histopathological impacts of graphene quantum Dots in NMRI mice by Farangiz Sourani, Hossein Najafzadehvarzi, Mohammad Ranaee, Atena Rahimi

“…The results from behavioral tests, as well as histological and biochemical evaluations, demonstrated that low doses of GQDs significantly impaired memory function and increased anxiety. High doses of GQDs notably reduced motor activity. …”
Get full text

Effects of examination-induced stress on memory and blood pressure by Firoz Ahmed, Dinesh K. Dubey, Rinku Garg, Rani Srivastava

“…Medical students are subjected to different kinds of stressors, such as pressure of academics with obligation to succeed, an uncertain future and difficulties of integrating into the system and different teaching protocols, which may affect their learning ability and performance. Stress has a great impact on brain mainly in the form of impaired memory and on cardiovascular function in the form of increased heart rate and blood pressure. …”
Get full text

Suppression and control of unbalanced and misalignment coupler vibration of a double-rotor permanent magnet drive by Yongcun GUO, Xin MA, Shuang WANG, Deyong LI, Tun YANG

“…The neural network iterative learning control algorithm makes the network able to fit the nonlinear features of the system by introducing nonlinear activation function and depth structure. …”
Get full text

Knowledge management: the tool of the conceptual map in the evaluation of a seminar on safety and security by Fernando Barcellos Razuck, FRANCISCO CESAR DA SILVA

“…Conceptual Maps are a tool that can gather knowledge of individuals and groups, facilitate the process of knowledge creation, function as a means of discussion and communication, and help in the distribution of knowledge and learning processes within an organization [4].   …”
Get full text

Comprehensive behavioral characterization and impaired hippocampal synaptic transmission in R1117X Shank3 mutant mice by Jingyao Gao, Shumin Wu, Jingxuan Yang, Tong Ye, Jie Yang, Wenhua Shen, Xingwang Chen, Li Huang, Ruiqi Pang, Ping Lin, Jiahe Lin, Yi Zhou, Wei Wang, Tao Tan

“…The altered hippocampal morphology, impaired synaptic function, and deficits in learning and memory observed in this model provide new insights into the underlying mechanisms of Shank3-related neurodevelopmental disorders.…”
Get full text

SCIENCE TEACHERS’ ICT USE FREQUENCY AND THE BARRIERS THEY WERE EXPOSED by Fatma TAŞKIN EKİCİ, Seçil DEMİRHAN, İzzet KARA, Erhan EKİCİ

“…Thus, by the use of technological tools in the courses, ideal learning environments may be provided to apply student-centered learning approaches. …”
Get full text

Caregiver Burden and Its Associated Factors Among Family Caregivers of Hospitalized Patients with Neurocritical Disease: A Cross-Sectional Study by Wei L, Zhao X, Chen X, He Y, Liu J, Xian J, Yang Y

“…Family caregivers of inpatients with neurocritical diseases experienced a mild to moderate caregiver burden. Patients’ physical function, caregiver’s age, relationship with patients, comorbid chronic disease status, memory function, adaptation level, and anxiety independently predicted caregiver burden, accounting for 66.3% of the total variation.Conclusion: Family caregivers of inpatients with neurocritical diseases experience mild to moderate level of caregiver burden. …”
Get full text

Chromatin Phenotype Karyometry Can Predict Recurrence in Papillary Urothelial Neoplasms of Low Malignant Potential by Rodolfo Montironi, Marina Scarpelli, Antonio Lopez-Beltran, Roberta Mazzucchelli, David Alberts, James Ranger-Moore, Hubert G. Bartels, Peter W. Hamilton, Janine Einspahr, Peter H. Bartels

“…Second, since the discriminant function 2 of the exploratory study had been based on a small sample size, a new discriminant function was derived. …”
Get full text

Deciphering the role of CAPZA2 in neurodevelopmental disorders: insights from mouse models by Mei Guo, Liming Liu, Xiao Mao, Manyu Xiao, Xiaobin He, Xing Pan, Yuewen Chen, Wanying Yi, Qibin Li, Xianglan Piao, Hua Wang, Yang Du, Yong Cheng

“…These insights highlight the gene’s essential role in brain development and function, with potential implications for understanding and treating neurodevelopmental disorders.…”
Get full text

Angiotensin IV Receptors in the Rat Prefrontal Cortex: Neuronal Expression and NMDA Inhibition by Zsolt Tamás Papp, Polett Ribiczey, Erzsébet Kató, Zsuzsanna E. Tóth, Zoltán V. Varga, Zoltán Giricz, Adrienn Hanuska, Mahmoud Al-Khrasani, Ákos Zsembery, Tibor Zelles, Laszlo G. Harsing, László Köles

“…Angiotensin IV (Ang IV) and its analogs have demonstrated cognitive benefits in animal models of learning and memory deficits. Methods: Immunohistochemistry and whole-cell patch-clamp techniques were used to map the cell-type-specific localization of AT4R, identical to insulin-regulated aminopeptidase (IRAP), and to investigate the modulatory effects of Ang IV on NMDAR function in layer V pyramidal cells of the rat PFC. …”
Get full text

Cognitive and Patient‐Reported Outcome Measures in LGI‐1‐IgG Autoimmune Encephalitis by Tatchaporn Ongphichetmetha, Carol Swetlik, Nicolas Thompson, Albert Aboseif, Vineet Punia, Brittany Lapin, Jeffrey A. Cohen, Rachel Galioto, Amy Kunchok

“…ClinROs correlated with Neuro‐QoL lower extremity function, cognition, and social roles (all p < 0.05). …”
Get full text

Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets by Saleh Nagi Alsubari, Sachin N. Deshmukh, Mosleh Hmoud Al-Adhaileh, Fawaz Waselalla Alsaade, Theyazn H. H. Aldhyani

“…Finally, a sigmoid activation function as the last layer of the proposed model receives the input sequences from the previous layer and performs binary classification task of review text into fake or truthful. …”
Get full text

An efficient hybrid Hopfield convolutional neural network for detecting spam bots in Twitter platform by A.V. Santhosh Kumar, N. Suresh Kumar, R. Kanniga Devi

“…Also, the proposed hybrid deep learning model achieved a precision of 98.40 %, recall of 98.40 %, specificity of 98.40 %, F-score of 98.40 %, and kappa of 96.80 %. …”
Get full text

Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations by Yu. V. Belova, I. F. Razveeva, E. O. Rakhimbaeva

“…Graphical visualization of the results of CNN learning on the training and validation sets showed good quality of model learning. …”
Get full text

Explainable artificial intelligence (XAI) to find optimal in-silico biomarkers for cardiac drug toxicity evaluation by Muhammad Adnan Pramudito, Yunendah Nur Fuadah, Ali Ikhsanul Qauli, Aroli Marcellinus, Ki Moo Lim

“…We employed the Markov chain Monte Carlo method to generate a detailed dataset for 28 drugs, from which twelve in-silico biomarkers of 12 drugs were computed to train various machine learning models, including Artificial Neural Networks (ANN), Support Vector Machines (SVM), Random Forests (RF), XGBoost, K-Nearest Neighbors (KNN), and Radial Basis Function (RBF) networks. …”
Get full text

POTA: A Pipelined Oblivious Transfer Acceleration Architecture for Secure Multi-Party Computation by Li Xiaolin, Yan Wei, Liu Hongwei, Zhang Yong, Hao Qinfen, Liu Yong, Sun Ninghui

“…In the POTA design, we develop efficient subsystems targeting the two most compute-intensive parts: the construction of puncturable pseudoran- dom function (PPRF), and large matrix-vector multiplications under the learning parity with noise (LPN) assumption within the silent OT protocol. …”
Get full text

A study on land use change simulation based on PLUS model and the U-net structure: A case study of Jilin Province by Jiafu Liu, Xiangli Kong, Yue Zhu, Baihao Zhang

“…Deep learning and spatial models are typical paradigms for land cover change simulation, each exhibiting certain differences in representing land use change mechanisms. …”
Get full text