Analysis of emotion recognition through 2D micro-animations of an illustrated character's face by Sinja Stres, Helena Gabrijelčič Tomc

“…Emotions make up a large part of everyday communication. Humans learn to recognize emotions by observing others and by referencing their feelings with the emotions of other people. …”
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WORK-LIFE BALANCE OF JEMBER UNIVERSITY LECTURERS by Ainul Qismatil Katsiiroh, Anita Dewi Prahastuti Sujoso

“…Previous research stated that work-life balance for lecturers was achieved during the Work-from-Home (WFH) or online learning. However, it is known that the current learning system has returned to the offline system. …”
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A Neuropsychological Intervention Study of Intellectual Activity in an Adolescent with Autism Spectrum Disorder by Lenia E. Meza-Salcido, Omar E. Torrado-Duarte, Yulia Solovieva

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The human medial temporal lobe represents memory items in their ordinal position in both declarative and motor memory domains. by Ainsley Temudo, Nina Dolfen, Bradley R King, Genevieve Albouy

“…We used multivariate pattern analyses (MVPA) of functional magnetic resonance imaging (fMRI) data acquired during the execution of learned sequences of movements and objects to assess brain patterns related to procedural and declarative memory processes, respectively. …”
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Chronic lung lesions in COVID-19 survivors: predictive clinical model by Paulo A Lotufo, Juliana C Ferreira, Eloisa Bonfa, Anna S Levin, Rodrigo Caruso Chate, Marta Imamura, Esper G Kallas, Roger Chammas, Thais Mauad, Izabel Marcilio, Nelson Gouveia, Ricardo Nitrini, José Eduardo Krieger, Marcio Valente Yamada Sawamura, Michelle Louvaes Garcia, Cristiano Gomes, Guilherme Fonseca, Jorge Hallak, Luis Yu, Marcio Mancini, Maria Elizabeth Rossi, Thiago Avelino-Silva, Edivaldo M Utiyama, Aluisio C Segurado, Beatriz Perondi, Anna Miethke-Morais, Amanda C Montal, Leila Harima, Marjorie F Silva, Marcelo C Rocha, Maria Amélia de Jesus, Carolina Carmo, Clarice Tanaka, Julio F M Marchini, Thaís Guimarães, Ester Sabino, Carlos Roberto Ribeiro Carvalho, Celina Almeida Lamas, Diego Armando Cardona Cardenas, Daniel Mario Lima, Paula Gobi Scudeller, João Marcos Salge, Cesar Higa Nomura, Marco Antonio Gutierrez, Adriana L Araújo, Bruno F Guedes, Carolina S Lázari, Cassiano C Antonio, Claudia C Leite, Emmanuel A Burdmann, Euripedes C Miguel, Fabio R Pinna, Fabiane Y O Kawano, Geraldo F Busatto, Giovanni G Cerri, Heraldo P Souza, Izabel C Rios, Larissa S Oliveira, Linamara R Batisttella, Luiz Henrique M Castro, Marcello M C Magri, Maria Cassia J M Corrêa, Maria Cristina P B Francisco, Maura S Oliveira, Orestes V Forlenza, Ricardo F Bento, Rodolfo F Damiano, Rossana P Francisco, Solange R G Fusco, Tarcisio E P Barros-Filho, Wilson J Filho

“…Objective This study aimed to propose a simple, accessible and low-cost predictive clinical model to detect lung lesions due to COVID-19 infection.Design This prospective cohort study included COVID-19 survivors hospitalised between 30 March 2020 and 31 August 2020 followed-up 6 months after hospital discharge. The pulmonary function was assessed using the modified Medical Research Council (mMRC) dyspnoea scale, oximetry (SpO2), spirometry (forced vital capacity (FVC)) and chest X-ray (CXR) during an in-person consultation. …”
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Exploring the Influence of Environmental Characteristics on Emotional Perceptions in Metro Station Spaces by Hedi Shi, Jianfei Chen, Zuhan Feng, Tong Liu, Donghui Sun, Xiaolu Zhou

“…This study adopts an innovative approach by integrating deep learning-based affective computing methods with semantic segmentation techniques in computer vision to systematically evaluate the impact of various physical environmental features and functional spaces on users’ emotional perceptions across multiple dimensions. …”
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An NVMe-Based Secure Computing Platform With FPGA-Based TFHE Accelerator by Yoshihiro Ohba, Tomoya Sanuki, Claude Gravel, Kentaro Mihara, Asuka Wakasugi, Kenta Adachi

“…The performance of a machine learning application running on our platform shows that bootstrapping accounts for more than 80% of ciphertext learning time.…”
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Implementation of Fisher-Yates Shuffle and Fuzzy Tsukamoto in Nusantara Educational Game by Khairul Insan Karim, Chairunnisa Lamasitudju, Ryfial Azhar, Fizar Syafaat, Anisa Yulandari

“…UAT results indicate strong functional acceptance, with an average score of 84.9% ("Strongly Agree"). …”
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Fault Diagnosis of Axial Piston Pump Based on Extreme-Point Symmetric Mode Decomposition and Random Forests by Lei Yafei, Jiang Wanlu, Niu Hongjie, Shi Xiaodong, Yang Xukang

“…Firstly, the vibration signal of the axial piston pump was decomposed by ESMD to get several intrinsic mode functions (IMFs) and an adaptive global mean curve (AGMC) on the local side. …”
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SENTIMENT ANALYSIS WITH LONG-SHORT TERM MEMORY (LSTM) AND GATED RECURRENT UNIT (GRU) ALGORITHMS by Muhammad Nazhif Abda Putera Khano, Dewi Retno Sari Saputro, Sutanto Sutanto, Antoni Wibowo

“…Sentiment analysis is a form of machine learning that functions to obtain emotional polarity values or data tendencies from data in the form of text. …”
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Biomimicry as a decision-making methodology in condition monitoring by Hariom Dhungana

“…In response, our study proposes a biologically inspired methodology that parallels the human cognitive system, integrating multi-sensory data, adaptive learning, and energy-efficient sensing mechanisms to enhance fault diagnosis and decision-making. …”
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A Variational-Mode-Decomposition-Cascaded Long Short-Term Memory with Attention Model for VIX Prediction by Do-Hyeon Kim, Dong-Jun Kim, Sun-Yong Choi

“…The primary objective is to enhance the predictive accuracy of the VIX, a key measure of market uncertainty, through advanced signal processing and deep learning techniques. VMD is employed as a preprocessing step to decompose financial time-series data into multiple Intrinsic Mode Functions (IMFs), effectively isolating short-term fluctuations from long-term trends. …”
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A comprehensive characterization of metabolic signatures—hypoxia, glycolysis, and lactylation—in non-healing diabetic foot ulcers by Bo Hu, Xuan Li, Yunfeng Li, Shengnan Chai, Mei Jin, Long Zhang

“…Functional analyses highlighted their roles in energy metabolism, cellular proliferation, and immune signaling, providing new insights into DFU pathogenesis.ConclusionThis study reveals metabolic dysregulation and disrupted cellular communication as central to the non-healing DFU microenvironment, with validated biomarkers and pathways offering potential targets for improved diagnosis and treatment.…”
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Involvement of the GABAergic septo-hippocampal pathway in brain stimulation reward. by Germán Vega-Flores, Agnès Gruart, José M Delgado-García

“…Although the anatomical relationships of the septo-hippocampal pathway are well established, the functional relationship between these structures during rewarding behaviors remains poorly understood. …”
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Views of Student Teachers at a University in Lesotho about their Digital Literacy and Online Safety: Building Sustainable Digital Practices by Mahao Mahao, Chere-Masopha Julia

“…Digital literacy has become crucial for functionality and productivity in academics, work, and everyday community lives. …”
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Stevia (Stevia rebaudiana Bertoni): Sweet medicine for a healthier world by Aswin Sakthivel M., Ramesh Kumar S.

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An Intelligent Diagnostic System to Analyze Early-Stage Chronic Kidney Disease for Clinical Application by N. I. Md. Ashafuddula, Bayezid Islam, Rafiqul Islam

“…Chronic kidney disease (CKD) is a progressive condition characterized by the gradual deterioration of kidney functions, potentially leading to kidney failure if not promptly diagnosed and treated. …”
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Deep attributes and decisions fusion for no-reference video quality analysis by Adil Baig

“…Moreover, determining visual quality necessitates a balanced examination of visual features and functionality. Previous research has also shown that features derived from pre-trained models of Convolutional Neural Networks (CNNs) are extremely useful in various image analysis and computer vision activities. …”
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INFLUENCE OF EDUCATIONAL LEVEL ON THE NEUROPHYSIOLOGICAL STATUS OF PATIENTS WITH CORONARY ARTERY DISEASE by Рамиль Мансурович Акбиров, Ирина Валерьевна Тарасова, Ирина Даниловна Сырова

“…Aim – to investigate the parameters of cognitive functions and resting-state EEG power in patients with coronary artery disease (CAD) depending on the educational attainment. …”
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An Empirical Study on the Deficiencies and Optimization of the Management System of Tourist Attractions Based on Human Resource Management by Yan Tang, Siran Bai, Lingling Cui

“…Today, with the deepening of economic globalization and the further intensification of competition among enterprises, the role and functions of human resource managers of enterprises have undergone major changes. …”
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