Impact of crack cocaine on salivary nucleic acids, enzymes, esters, and lipids: A fourier-transform infrared spectroscopy study by Gabriela Ribeiro Zucco, Taís Maria Cardoso de Oliveira, Thaís Xavier Pereira da Silva, Sandra Silva Marques, Fernando Sabbag, Marcelo Ribeiro de Araújo, Rodrigo Melim Zerbinati, Paulo Henrique Braz-Silva, José Ângelo Lindoso, Gabrielle Luana Jimenez Teodoro Nepomuceno, Letícia Foiani, Herculano da Silva Martinho, Janete Dias Almeida

“…Objective: This study aims to analyze saliva composition in crack users using vibrational spectroscopy. Material and Methods: A total of 90 participants were meticulously selected and divided into three groups, each comprising 30 individuals. …”
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GeNetFormer: Transformer-Based Framework for Gene Expression Prediction in Breast Cancer by Oumeima Thaalbi, Moulay A. Akhloufi

“…We evaluated eight advanced transformer models including EfficientFormer, FasterViT, BEiT v2, and Swin Transformer v2, and tested their performance in predicting gene expression using the STNet dataset. …”
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INFLUENCE OF DYNAMIC MAGNETIZATION TO IMPROVE THE EFFICIENCY OF ELECTROMAGNETIC-ACOUSTIC TRANSFORMATION WITH WAVEGUIDE CONTROL RODS by D. V. Zlobin, L. V. Volkova

“…The object of the study were rods made of different grades of steel with a diameter of 4–6 mm, in which the symmetrical zero mode S0 of the rod wave was excited by the EMA method (in the frequency range of about 40 kHz). …”
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Selective Auditory Attention Detection Using Combined Transformer and Convolutional Graph Neural Networks by Masoud Geravanchizadeh, Amir Shaygan Asl, Sebelan Danishvar

“…This paper proposes a new end-to-end method based on the combined transformer and graph convolutional neural network (TraGCNN) that can effectively detect auditory attention from electroencephalograms (EEGs). …”
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Multi-label remote sensing classification with self-supervised gated multi-modal transformers by Na Liu, Ye Yuan, Guodong Wu, Sai Zhang, Jie Leng, Lihong Wan

“…In this paper, we pretrain the ViT model based on BigEarthNet dataset by combining two commonly used SSL algorithms, and propose an intra-modal and inter-modal gated fusion unit for feature learning by combining multispectral (MS) and synthetic aperture radar (SAR). Our method can effectively combine different modal data to extract key feature information.Results and discussionAfter fine-tuning and comparison experiments, we outperform the most advanced algorithms in all downstream classification tasks. …”
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Transformation of C Programming Language Memory Model into Object-Oriented Representation of EO Language by Alexander I. Legalov, Yegor G. Bugayenko, Nickolay K. Chuykin, Maksim V. Shipitsin, Yaroslav I. Riabtsev, Andrey N. Kamenskiy

“…The paper analyzes the possibilities of transforming C programming language constructs into objects of EO programming language. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

“…This work addresses the battery lifetime prediction problem by leveraging machine learning (ML) methods. First, we apply quantile transformation (QT) to both features and battery cycle lives to improve their correlation. …”
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Conceptualization of the concept of digital maturity of a university in the context of digital transformation of higher education by Galina Alekseevna Bannykh, Svetlana Nikolaevna Kostina

“…In relation to the concept, different approaches have been formed: biological, psychological, process, the category is comprehended both as a result and as a prerequisite for the digital transformation of universities. …”
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Human Brain-Inspired Network Using Transformer and Feedback Processing for Cell Image Segmentation by Hinako Mitsuoka, Kazuhiro Hotta

“…Experiments on three different cell image datasets confirmed that the proposed method surpasses the methods without feedback processing, demonstrating its superior accuracy in cell image segmentation. …”
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The proposed model of the body of knowledge of digital transformation for the Central Bank of the Islamic Republic of Iran by Samira Tahmasebi Ashtiani, Mohammad Hasanzadeh, Atefeh Sharif, Mostafa Amini

“…Knowledge flow is considered as one of the important paths of action for digital transformation. The central bank has always tried to use different methods and tools in order to continuously improve and upgrade its performance level. …”
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Business philosophy during digital transformation in wartime conditions. The case of Ukraine in critical perspective by Yaroslav Pushak, Nataliia Trushkina, Vitaliy Flyak, Iryna Bezpalko

“…In the case of Ukraine, the war situation happened since February 2022 makes the situation of domestic enterprises difficult, as they must now adapt to the requirements of a war economy. Using the method of the history of ideas, the aim of the research was to describe the meaning of business philosophy during the digital transformation in conditions of war in Ukraine, which involved a critical thinking exercise that tried to answer the question Is there a general business philosophy in Ukraine that, beyond the particularities of each business, represents the being and doing of entrepreneurs in the process of digital transformation and in the context of war? …”
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Acclimater les outils de projet pour la transformation des territoires littoraux by Atelier Georges, meat architectures, Mathieu Delorme, Félicien Pecquet-Caumeil, Thibault Barbier, Lucille Bricks, Chloé Picard

“…Under such conditions, is development planning, in the sense of a forward-looking narrative bringing together different stakeholders around a shared vision for the transformation of a territory, still a viable method? …”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

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Real-Time Transformer Detection of Underwater Objects Based on Lightweight Gated Convolutional Network by Yuhui LI, Huixia CUI, Yaomin LI, Senping JIA

“…To address the challenges in underwater object detection algorithms, including difficult image feature processing, redundant model architectures, and excessive parameter numbers, this paper proposed a real-time Transformer detection method for underwater objects based on a lightweight gated convolutional network. …”
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Business philosophy during digital transformation in wartime conditions. The case of Ukraine in critical perspective by Yaroslav Pushak, Nataliia Trushkina, Vitaliy Flyak, Iryna Bezpalko

“…In the case of Ukraine, the war situation happened since February 2022 makes the situation of domestic enterprises difficult, as they must now adapt to the requirements of a war economy. Using the method of the history of ideas, the aim of the research was to describe the meaning of business philosophy during the digital transformation in conditions of war in Ukraine, which involved a critical thinking exercise that tried to answer the question Is there a general business philosophy in Ukraine that, beyond the particularities of each business, represents the being and doing of entrepreneurs in the process of digital transformation and in the context of war? …”
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Energy-based jamming pattern open set recognition via spiking wavelet transformer. by Xincheng Zhong, Junbiao Cui, Zhuangwei Ji

“…Simulation experiments have validated the effectiveness and superiority of the proposed method for JP-OSR.…”
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Analyzing the influence of ZnO nanoparticles on transformer oil using dissolved gas analysis by Abhijeet Lal, Anup Mishra, Anupam Agrawal, Rounak Kumar Tamrakar, Nagendra Tripathi, Sunil Kumar Chouhan

“…The results of the DGA test are used to assess the conditions and identify potential disturbances in the power transformer. The outcome of the fault indication is also influenced by the different gas analysis techniques employed.The findings indicate that incorporating ZnO nanoparticles significantly alters the dissolved gas patterns, with each diagnostic method offering unique perspectives on fault conditions. …”
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Improving the Prediction of GNSS Satellite Visibility in Urban Canyons Based on a Graph Transformer by Shaolong Zheng, Kungan Zeng, Zhenni Li, Qianming Wang, Kan Xie, Ming Liu, Shengli Xie

“…Comparative experiments were conducted on real-world GNSS measurement data in urban areas, demonstrating that the proposed method can achieve an accuracy exceeding 96% for satellite visibility prediction and obtain better generalization performance than existing multipath prediction methods. …”
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Factors driving digital transformation: Technological, organizational, and environmental perspectives from Jordanian banks by Mohammad O. Al-Smadi

“…The results highlight the need for Jordanian banks to develop explicit strategies that involve the integration of new technologies, regulatory frameworks that encourage modern technology adoption, and dealing with different environmental factors. The study thus proposes recommendations for Jordanian banks to achieve maximum benefit from digital transformation and manage the difficulties arising from this transformation in the changing banking sector.…”
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Fourier-Transform Infrared Spectroscopy Analysis of 3D-Printed Dental Resins Reinforced with Yttria-Stabilized Zirconia Nanoparticles by Andrea Izabella Borș

“…<b>Methods:</b> Three groups of 3D-printed methacrylate-based resin discs were fabricated: a control (0% YSZ), and experimental groups reinforced with 1% and 3% YSZ nanoparticles. …”
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