Re-evaluating bioplastic blend wastes through mechanical recycling and chemical modification by Sanaz Soleymani Eil Bakhtiari, Islam Shyha, Dongyang Sun, Mohammadreza Nofar, Reza Salehiyan

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Ensuring uniform brightness of the afterglow surface of the hardened cement paste with photoluminescent pigment by Suleymanova Lyudmila, Maslennikova Alina, Kravchenko Darya, Martyushev Nikita, Vatin Nikolai Ivanovich, Karlina Antonina

“…Utilizing a method of computer image analysis, the study scrutinized samples with diverse compositions containing varying proportions of photoluminescent pigments. …”
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Development of a technique to identify μm-sized organic matter in asteroidal material: An approach using machine learning by Rahul Kumar, Katsura Kobayashi, Christian Potiszil, Tak Kunihiro

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Methodology to classify high voltage transmission poles using CNN approach from satellite images for safety public regulation application: Study case of rural area in Thailand by Bastien Marty, Raphael Gaudin, Tom Piperno, Didier Rouquette, Cyrille Schwob, Laurent Mezeix

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Development of integrated support software for clinical nutrition by Pedro Siquier Homar, Manel Pinteño Blanco, Miguel Ángel Calleja Hernández, Francisco Fernández Cortés, Jesús Martínez Sotelo

“…Objectives: to develop an integrated computer software application for specialized nutritional support, integrated in the electronic clinical record, which detects automatically and early those undernourished patients or at risk of developing undernourishment, determining points of opportunity for improvement and evaluation of the results. …”
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Multi-distribution noise quantisation: an extreme compression scheme for transformer according to parameter distribution by Zaiyang Yu, Shuang Li, Linjun Sun, Liang Liu, Wang Haining

“…With the development of deep learning, neural networks are widely used in various fields, and the improved model performance also introduces a considerable number of parameters and computations. Model quantisation is a technique that turns floating-point computing into low-specific-point computing, which can effectively reduce model computation strength, parameter size, and memory consumption but often bring a considerable loss of accuracy. …”
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Using Technology to Facilitate Process Writing and Interaction among Adult Students Uso de la tecnología para facilitar el proceso de escritura e interacción entre estudiantes adul... by Aaron Rogers

“…This article deals with how through the innovative use of word processing software, process writing and interaction can be fostered among students. …”
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MetaLo: metabolic analysis of Logical models extracted from molecular interaction maps by Aghakhani Sahar, Niarakis Anna, Soliman Sylvain

“…However, MIMs can serve as templates for developing dynamic computational models. We present MetaLo, an open-source Python package that enables the coupling of Boolean models inferred from process description MIMs with generic core metabolic networks. …”
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A robust RGBT tracking framework with temporal information enhancement and backward trajectory verification by Huiwei Shi, Xiaodong Mu, Hao He, Chengliang Zhong, Peng Zhao

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A comprehensive strategy for the development of a multi-epitope vaccine targeting Treponema pallidum, utilizing heat shock proteins, encompassing the entire process from vaccine de... by Jing Jiang, Jing Jiang, Linglan Xu, Linglan Xu, Xuefeng Wang, Ming Wang, Youde Cao, Ranhui Li, Kang Zheng, Xian Wu

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Possibilities of using immersive learning based on abstract highly formalized mathematical models for training future mathematics teachers by Valentina A. Matveeva, Olga Yu. Zaslavskaya

“…To bring the studied model closer to the real situation, the Maxima computer algebra system is used. Results . In the process of studying the mathematical model of the RSA cryptosystem and its implementation in the Maxima computer algebra system, students experience a ‘partial’ immersion in the environment being studied, since to observe the results it is necessary to know the mathematical model and a number of functions that can provide a certain result. …”
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Combination of Renal Cell Carcinoma and Organizing Pneumonia by V. A. Zarya, M. E. Makogonova, P. V. Gavrilov

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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

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A methodology to forecast some attributes of an automatic storyteller’s outputs by Iván Guerrero Román, Rafael Pérez y Pérez

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Internet policy and Australia’s Northern Territory Intervention by Ellie Rennie, Jake Goldenfein, Julian Thomas

“…This paper considers a hitherto obscure aspect of the Intervention: the surveillance of publicly funded computers and internet use. Between 2007 and 2012, providers of internet and computer access facilities in the affected communities were required to audit and record computer use. …”
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Eco-friendly approach to corrosion inhibition of aluminum by Congo red dye in alkaline media: Experimental assessment, QSAR modeling, diffusion studies, and DFT/MC/MD simulations by Ayoub Chahid, Said Meftah, Mohamed Essahli, Mohammed Chafi, Rachid Kellal, Driss Benmessaoud Left, Mustapha Zertoubi

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Listener Acoustic Personalization Challenge—LAP24: Head-Related Transfer Function Dataset Harmonization by Rapolas Daugintis, Roberto Barumerli, Michele Geronazzo, Johan Pauwels, Lorenzo Picinali, Katarina C. Poole

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An Efficient One-Dimensional Texture Representation Approach for Lung Disease Diagnosis by Abrar Alabdulwahab, Hyun-Cheol Park, Heon Jeong, Sang-Woong Lee

“…Additionally, it increases the computational time and image-processing complexity. This study investigates the efficiency of converting the 2D chest X-ray into one-dimensional texture representation data using descriptive statistics and local binary patterns, enabling the use of feed-forward neural networks to efficiently classify lung diseases within a short time and with cost effectiveness. …”
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Using in silico models to predict lymphocyte activation and development in a data rich era by Salim I Khakoo, Jayajit Das

“…This presents us with a unique opportunity to leverage our access to such data to develop computational models that can generate usable predictions and mechanistic insights capable of seeding new ideas. …”
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Modeling airflow dynamics in solar drying chambers: a comprehensive review of CFD applications by Halefom Kidane, Istvan Farkas, Janos Buzás

“…Abstract Computational fluid dynamics (CFD) plays a critical role in analyzing the detailed internal processes and behavior of airflow dynamics within drying systems. …”
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