A Fuzzy Logic Framework for Text-Based Incident Prioritization: Mathematical Modeling and Case Study Evaluation by Arturo Peralta, José A. Olivas, Pedro Navarro-Illana

“…A mathematical model based on Mamdani-type inference and triangular membership functions is developed to capture and process imprecise inputs. …”
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Effectiveness of adapted self-help plus (SH+) to reduce psychological distress among university students in Indonesia (APRESIASI): protocol of a randomized controlled trial by Dhini Andriani, Fredrick D. Purba, Anke B. Witteveen, Neily Zakiyah, Marit Sijbrandij

“…Abstract Background University students in Indonesia are exposed to stressors such as high academic task load, financial strains, and relationship problems. …”
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STRATEGIC INNOVATION IN INTERNATIONAL EDUCATION AND DEVELOPMENT OF MICROECONOMICS OF SMALLAND MEDIUM-SCALE ENTERPRISES by S. Zappala

“…The article concludes that the study of the experience of functioning and development of small Italian enterprises objectively showed that small and medium business activity should be focused on implementation of new technologies and manufacture of new products - of a higher quality and at a lesser cost thus ensuring their competitiveness, strengthening their positions in the market, providing expected gains. …”
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Dual-level graph contrastive collaborative filtering by Jiahao Wang, Qingshuai Wang, Kai Ma, Noor Farizah Ibrahim, Zurinahni Zainol

“…Finally, DL-GCL employs a multi-task learning strategy to optimize local-global views and BPR (Bayesian Personalized Ranking) loss functions. …”
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Análisis de imágenes mediante el método de los momentos usando funciones de base continuas a intervalos (PCBF) by Sergio Domínguez

“…In this paper, the use of Piecewise Continuous Basis Functions (PCBF) is proposed as an alternative to those basis which have been used traditionally in the method of moments, all of them continuous as the well known Zernike, Legendre or Tchebichev basis. …”
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Identifying Priority Areas for Planning Urban Green Infrastructure: A Fuzzy Artificial Intelligence-Based Framework by Leonardo Massato Nicacio Nomura, Adriano Bressane, Vitoria Valente Monteiro, Inara Vilas Boas de Oliveira, Graziele Ruas, Rogério Galante Negri, Alexandre Marco da Silva

“…The system’s modular structure, use of triangular membership functions, and incorporation of the gamma operator allow for adaptable prioritization across different planning horizons. …”
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FSDN-DETR: Enhancing Fuzzy Systems Adapter with DeNoising Anchor Boxes for Transfer Learning in Small Object Detection by Zhijie Li, Jiahui Zhang, Yingjie Zhang, Dawei Yan, Xing Zhang, Marcin Woźniak, Wei Dong

“…The fuzzy Adapter Transformer Encoder utilizes adaptive fuzzy membership functions and rule-based smoothing to preserve critical details, such as edges and textures, while mitigating the loss of fine details in global feature processing. …”
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Unraveling C-to-U RNA editing events from direct RNA sequencing by Adriano Fonzino, Caterina Manzari, Paola Spadavecchia, Uday Munagala, Serena Torrini, Silvestro Conticello, Graziano Pesole, Ernesto Picardi

“…RNA editing has a plethora of biological functions, and its deregulation has been associated with various human disorders. …”
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GeoGraphRAG: A graph-based retrieval-augmented generation approach for empowering large language models in automated geospatial modeling by Jianyuan Liang, Shuyang Hou, Haoyue Jiao, Yaxian Qing, Anqi Zhao, Zhangxiao Shen, Longgang Xiang, Huayi Wu

“…Geospatial modeling aims to integrate multiple geospatial data sources and geoprocessing functions based on user application demands to address complex geospatial challenges. …”
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Beyond-local neural information processing in neuronal networks by Johannes Balkenhol, Barbara Händel, Sounak Biswas, Johannes Grohmann, Jóakim v. Kistowski, Juan Prada, Conrado A. Bosman, Hannelore Ehrenreich, Sonja M. Wojcik, Samuel Kounev, Robert Blum, Thomas Dandekar

“…While there is much knowledge about local neuronal circuitry, considerably less is known about how neuronal input is integrated and combined across neuronal networks to encode higher order brain functions. One challenge lies in the large number of complex neural interactions. …”
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Modular Neural Network Model for Biometric Authentication of Personnel in Critical Infrastructure Facilities Based on Facial Images by Oleksandr Korchenko, Ihor Tereikovskyi, Ruslana Ziubina, Liudmyla Tereikovska, Oleksandr Korystin, Oleh Tereikovskyi, Volodymyr Karpinskyi

“…When developing the model, an approach was used in which the functionality of each module was defined in such a way as to correspond to a task traditionally solved by a separate neural network model. …”
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Closed-loop versus open-loop “remind-to-move” treatment using wearables for hemiparetic upper extremity in patients after stroke: A proof-of-concept study by Kenneth N. K. Fong, Jasmine P. Y. Pak, Alissa H. L. Koo, Maggie M. K. Szeto, Natalie M. T. Wong, Keily K. Y. Yau, Sharon F. M. Toh, Vivian W. Lou, Hector W. H. Tsang, Gary K. K. Lau

“…The closed-loop group showed a more significant improvement in movement frequency, hand functions, and actual arm use than did the open-loop group. …”
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Autonomous slip control inspired by human physiology for improved shared control strategy by Joana Matos, Patricia Capsi-Morales, Cristina Piazza

“…The human hand is an intricate anatomical structure essential for daily activities, yet replicating its full functionality in upper-limb prostheses remains a significant challenge. …”
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Development and Investigation of Vision System for a Small-Sized Mobile Humanoid Robot in a Smart Environment by Amer Tahseen Abu-Jassar, Hani Attar, Ayman Amer, Vyacheslav Lyashenko, Vladyslav Yevsieiev, Ahmed Solyman

“…To ensure the high speed of the computer vision system based on the ESP32-CAM module, the neural network was improved by replacing the Visual Geometry Group 16 (VGG-16) network as the base network for extracting the functions of the Single Shot Detector (SSD) network model with the tiny-YOLO lightweight network model, which made it possible to preserve the multidimensional structure of the network model feature graph, resulting in increasing the detection accuracy, while significantly reducing the amount of calculations generated by the network operation, thereby significantly increasing the detection speed, due to a limited set of objects. …”
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Dynamics of Magnetization in Multilayer TbCo / FeCo Structures under the Influence of Femtosecond Optical Excitation by N. A. Ilyin, A. A. Klimov, N. Tiercelin, P. Pernod, E. D. Mishina, M. S. Gaponov, K. A. Brekhov, A. S. Sigov, V. L. Preobrazhensky

“…However, the range of such materials and the range of their functionality are limited.The purpose of this work is to study the dynamics of systems with nonthermal mechanisms of spin precession excitation. …”
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Use of belleville springs in the vibration protective mechanism with a part of quasi-zero-stiffness by Korytov M.S., Sherbakov V.S., Pochekueva I.E.

“…In them, unlike other mechanisms with quasi-zero stiffness, the functions of creating positive and negative stiffness are combined in the same structural elements — Belleville springs. …”
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Alzheimer's disease and implicit memory Doença de Alzheimer e memória implícita by Sergio Machado, Marlo Cunha, Daniel Minc, Claudio Elidio Portella, Bruna Velasques, Luis F. Basile, Maurício Cagy, Roberto Piedade, Pedro Ribeiro

“…Concluding, the decline in explicit memory suggests that both systems are functionally independent even if the other is compromised. …”
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EDUCATIONAL TRAINING SIMULATOR FOR MONITORING READING TECHNIQUE AND SPEED BASED ON SPEECH-TO-TEXT (STT) METHODS by Olesia Barkovska, Heorhii Ivashchenko, Dmytro Rosinskiy, Daniil Zakharov

“…The architecture of the proposed system consists of the following modules: preparation module, which ensures the correct functioning of the system regardless of the existing speech disorders; the speech-to-text converter directly converts the voice of the child reading the text on the gadget screen into text; The text comparison module is responsible for comparing the text read aloud with the text obtained as a result of conversion. …”
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Long-term brain fog and cognitive impairment in previously hospitalized COVID-19 patients. by Barbara Junco, Daniel Samano Martin Del Campo, Vela Karakeshishyan, Danielle Bass, Evie Sobczak, Emily Swafford, Ana Bolanos, Joshua Rooks, Bernard S Baumel, Alberto R Ramos, Tatjana Rundek, Ayham Alkhachroum

“…<h4>Results</h4>In 41 adult patients (19 female, 30 Hispanic, 13 Black, mean age of 65 (SD = 15), COVID-19 level of severity was associated with greater number of endorsed brain fog symptoms (Pearson's r = .34, 95% CI [.04, .59]), worse overall cognitive functioning (global cognition: r = -.36, 95% CI [-.61, -.05]) and reduced performance on an attention and working memory task (digit span backwards: r = -.41, 95% CI [-.66, -.09]) at 2-year follow-up. …”
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Convolution of the physical point cloud for predicting the self-assembly of colloidal particles by Seunghoon Kang, Young Jin Lee, Kyung Hyun Ahn

“…This enables predictive functionality within the classification task. Using this method, we discover for the first time that the convolution of canonical physical information can predict the self-assembly of colloids by observing only the initial configurations of colloidal particles, whereas conventional pattern recognition techniques using spatial information could only recognize phase transitions near completion. …”
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