Improving Sentiment Analysis Performance on Imbalanced Moroccan Dialect Datasets Using Resample and Feature Extraction Techniques by Zineb Nassr, Faouzia Benabbou, Nawal Sael, Touria Hamim

“…This study addresses this gap by exploring the integration of data-balancing techniques with machine learning (ML) methods, specifically investigating the impact of resampling techniques and feature extraction methods, including Term Frequency–Inverse Document Frequency (TF-IDF), Bag of Words (BOW), and N-grams. …”
Get full text

Potential Applicability of Cocoa Pulp (Theobroma cacao L) as an Adjunct for Beer Production by Cassiane S. O. Nunes, Marília L. C. da Silva, Geany P. Camilloto, Bruna A. S. Machado, Katharine V. S. Hodel, Maria Gabriela B. Koblitz, Giovani B. M. Carvalho, Ana Paula T. Uetanabaro

Get full text

Robust Forest Sound Classification Using Pareto-Mordukhovich Optimized MFCC in Environmental Monitoring by Ahmad Qurthobi, Robertas Damasevicius, Vytautas Barzdaitis, Rytis Maskeliunas

“…This study focuses on the application of deep learning models for forest sound classification as an effort to establish an early threats detection system. …”
Get full text

Deriving Full‐Coverage and Fine‐Scale XCO2 Across China Based on OCO‐2 Satellite Retrievals and CarbonTracker Output by Changpei He, Mingrui Ji, Tao Li, Xinyi Liu, Die Tang, Shifu Zhang, Yuzhou Luo, Michael L. Grieneisen, Zihang Zhou, Yu Zhan

“…We developed a machine learning model to fill the data gaps in the Orbiting Carbon Observatory 2 satellite retrievals across China during 2015–2018, with cross‐validation R2 = 0.95 and RMSE = 0.91 ppm. …”
Get full text

Multi-protective effects of wheat embryo globulin on D-gal-induced aging mice by Aimei Liaoa, Xing Lyu, Jiarui Ma, Yinchen Hou, Ming Hui, Na Liu, Yi Zhao, Yixiang Cui, Jihong Huang

“…These results effectively revealed that WEG not only improved the abilities of learning and memory, and the cognitive impairment, but also delayed the aging process of the D-gal-induced mice.…”
Get full text

Development of Communicative-Rhetorical Competence of a Future Engineer at the Research University by F. T. Shageeva, M. L. Smirnova

“…The pedagogical conditions should take into account the capabilities of a research university: the integrated nature of the learning process; using modern educational technologies in the process of learning; availability of a developed system of professional retraining and advanced training of teachers and other specialists. …”
Get full text

A Study on the Differences in Optimized Inputs of Various Data-Driven Methods for Battery Capacity Prediction by Kuo Xin, Fu Jia, Byoungik Choi, Geesoo Lee

“…This paper extracts 11 types of lithium battery-related health features, and experiments are conducted on two traditional machine learning networks and three advanced deep learning networks in three aspects of input differences. …”
Get full text

Characteristics and Reversibility of Dementia in Normal Pressure Hydrocephalus by Priyanka Chaudhry, Siddharth Kharkar, Jennifer Heidler-Gary, Argye E. Hillis, Melissa Newhart, Jonathan T. Kleinman, Cameron Davis, Daniele Rigamonti, Paul Wang, David N. Irani, Michael A. Williams

“…There was a significant improvement in learning, retention, and delayed recall of verbal memory three to six months after surgery (using paired t-tests). …”
Get full text

The Insulin Regulatory Network in Adult Hippocampus and Pancreatic Endocrine System by Masanao Machida, Shin Fujimaki, Ryo Hidaka, Makoto Asashima, Tomoko Kuwabara

“…Diabetes induces neuronal death in different regions of the brain especially hippocampus, causes alterations on the neuronal circuits and therefore impairs learning and memory, for which the hippocampus is responsible. …”
Get full text

A Free-Space-Based Model for Predicting Peanut Moisture Content during Natural Drying by Xin Xu, Ying Sun, Yuanyuan Yin, Yiwei Xue, Fangyan Ma, Chao Song, Hang Yin, Liqing Zhao

“…Support vector regression (SVR), extreme learning machine (ELM), sparrow search algorithm-support vector regression (SSA-SVR), and sparrow search algorithm-extreme learning machine (SSA-ELM) were used to create a prediction model of peanut kernel moisture content. …”
Get full text

Muscarinic cannabinoid suppression of excitation, a novel form of coincidence detection by Michaela Dvorakova, Ken Mackie, Alex Straiker

“…As such, MCSE represents a novel and targeted form of coincidence detection – important for many modes of learning and memory -- between cannabinoid and muscarinic signaling systems that elicits a medium-duration depression of synaptic signaling. …”
Get full text

Astronomaly Protege: Discovery through Human-machine Collaboration by Michelle Lochner, Lawrence Rudnick

“…Here we introduce ASTRONOMALY: PROTEGE, an extension of the general-purpose machine-learning-based active anomaly detection framework ASTRONOMALY. …”
Get full text

CR-DEQ-SAR: A Deep Equilibrium Sparse SAR Imaging Method for Compound Regularization by Guoru Zhou, Yixin Zuo, Zhe Zhang, Bingchen Zhang, Yirong Wu

“…The experimental results show that the proposed method outperforms existing deep learning-based SAR imaging methods regarding reconstruction performance and memory usage.…”
Get full text

A Self-Emulsifying Nanococktail of Pomegranate and Cannabidiol Reduces Cognitive Decline in Mice by Shoseyov O, Palatnik A, Dadon-Freiberg M, Dagan O, Shaltiel Karyo R

“…This work assessed the impact of Nano-PSO:CBD on memory and learning.Methods: A battery of hemp extracts was screened for their effects on acetylcholine esterase inhibition and neuronal protection activities. …”
Get full text

INFORMATION AND SOFTWARE OF VIRTUAL REALITY TRAINING APPLICATION «NATURAL GAS DRYER PLANT» by D. A. Kuzmuk, O. A. Shovkoplias, B. O. Kuzikov

“…A multi-user mode and voice chat functionality have also been implemented to facilitate collaborative learning. The development of this VR training application addresses the need for practical, hands-on learning in the natural gas industry, where actual equipment can be prohibitively expensive or hazardous. …”
Get full text

Design of an Integrated Model for Video Summarization Using Multimodal Fusion and YOLO for Crime Scene Analysis by Sai Babu Veesam, Aravapalli Rama Satish

“…Finally, a feedback-driven reinforcement learning framework named RL-HITL allows continuous improvement based on human input, which enhances the adaptability of the system over temporal instance sets. …”
Get full text

Re-architecture for requirements of academic space development in the universities: design and validitation of RASD questionnaire by Zahra Karimian, Mahmoud Abolghasemi

Get full text

Distinguishing classes of neuroactive drugs based on computational physicochemical properties and experimental phenotypic profiling in planarians. by Danielle Ireland, Christina Rabeler, Sagar Rao, Rudy J Richardson, Eva-Maria S Collins

“…Classification based on physicochemical properties had comparable accuracy to classification based on planarian profiling, especially with the machine learning models that all had accuracies of 90-100%. …”
Get full text

Prediction of mechanical characteristics of shearer intelligent cables under bending conditions. by Lijuan Zhao, Dongyang Wang, Guocong Lin, Shuo Tian, Hongqiang Zhang, Yadong Wang

“…The research shows that the TCN-BiLSTM-SEAttention model demonstrates outstanding predictive capability under complex operating conditions, providing a novel approach for improving cable management and equipment safety through optical fiber monitoring technology in the intelligent development of coal mines, highlighting the potential of deep learning in complex mechanical predictions.…”
Get full text

Monitoring the physical fitness of students aged 10-15 and 15-18 during online education by Olena Nesen, Lesia Korobeinikova, Iryna Ivanyshyn, Olga Goncharova

“…The necessity to switch to online learning is closely related to the need to ensure the safety of students, which is jeopardized by the military conflict in Ukraine. …”
Get full text