Enhanced Synchrosqueezing Transform for Detecting Non-Traditional Flight Modes in High Angle of Attack Maneuvers by Seyed Amin Bagherzadeh, Hamed Mohammadkarimi, Mohammad Hossein Alizadeh

“…This study represents the Enhanced SynchroSqueezing Transform (ESST) for the extraction of “non-traditional” flight modes from flight data. …”
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Visualizing and Understanding Guangzhou City, an Historic City in Rapid Transformation by Xiaoli Wei, Zhuangzhuang Wu, Yao Cheng, Jing Yan, Ning Wang

“…The project is proposed for understanding how the modern city works differently than the old traditional city and how the contemporary conditions influence urban transformation. …”
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Properties of Total Transformation Graphs for General Sum-Connectivity Index by Anam Rani, Muhammad Imran, Asima Razzaque, Usman Ali

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Fourier transform infrared (FTIR) spectroscopic characteristics of ornamental plant leaves in response to formaldehyde stress by CHENG Qin, HUANG Shu-shi, MEI Yan, XU Di, CHEN Li-mei

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Enhancement of Underwater Images through Parallel Fusion of Transformer and CNN by Xiangyong Liu, Zhixin Chen, Zhiqiang Xu, Ziwei Zheng, Fengshuang Ma, Yunjie Wang

“…To address the issue, an innovative enhancement algorithm is proposed, which integrates Transformer and Convolutional Neural Network (CNN) in a parallel fusion manner. …”
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Enzymatic Transformation and Bonding of Sulfonamide Antibiotics to Model Humic Substances by J. Schwarz, H. Knicker, G. E. Schaumann, S. Thiele-Bruhn

“…Sulfonamides were transformed depending on their molecular properties. …”
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Monitoring of transformation of settlement spatial network in the arid zone of Uzbekistan by L. X. Gulyamova

“…The paper examines the issues of integrating geodata from different sources for geoinformation mapping of the transformation of rural settlement. …”
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Enhanced Performance of New Scaling-Free CORDIC for Memory-Based Fast Fourier Transform Architecture by C. Paramasivam, Sandeep Singh Chauhan, Veerpratap Meena, A. Sreejagathi, B. A. V. N. Hasini, K. L. K. Kishore, T. V. N. G. Vamsikrishna, M. Durga Ananta Sai, Abdessamad Didi

“…Coordinate rotation digital computer (CORDIC) algorithm is an iterative method and it performs the vector rotation operation by micro-rotation with scaling operation in each iteration. …”
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Effect of Different Solvents, Pore-Forming Agent and Solubility Parameter Differences on the Properties of PES Ultrafiltration Membrane by Seren Acarer

“…In this study, polyethersulfone (PES) membranes are produced by the NIPS method using two different solvents, dimethyl sulfoxide (DMSO) and N-methyl-2-pyrrolidone (NMP), and polyvinylpyrrolidone (PVP) as pore-forming agent. …”
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Interpretable correlator Transformer for image-like quantum matter data by Abhinav Suresh, Henning Schlömer, Baran Hashemi, Annabelle Bohrdt

“…While local correlation structures in image-like data of physical systems can reliably be detected, identifying phases of matter characterized by global, non-local structures with interpretable ML methods remains a challenge. Here, we introduce the correlator Transformer (CoTra), which classifies different phases of matter while at the same time yielding full interpretability in terms of physical correlation functions. …”
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Funding of geological exploration during transformation of the Russian economic system by S. M. Salmanov, Z. M. Nazarova, Yu. A. Leonidova

“…Consideration of funding possibilities for geological exploration activities in Russia.Objectives. 1) To analyze the structure and state of geological exploration funding in Russia over the past five years; 2) to study the prospects and possibilities of attracting investments for different geological exploration stages in Russia; 3) to offer new methods and tools for optimizing the funding of geological exploration activities under the conditions of transformation of the Russian economic system.Materials and methods. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…Our solution to these problems includes MSCAS-Net (Multi-Scale Cross and Self-Attention Network), which uses the Swin Transformer as the backbone. It extracts features at three different resolutions (12 × 12, 24 × 24, 48 × 48), allowing it to detect subtle local features and global elements. …”
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From Warlords to Politicians: Transforming Rebel Movements Into Political Parties by DENISOVA Tatyana Sergeevna, KOSTELYANETS Sergey Valerianovich

“…To achieve this, they employ many different strategies: transforming their armed groups into political parties, joining existing political organizations, establishing totally new parties, or conducting individual political activity. …”
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Transforming Feather Meal Into a High‐Performance Feed for Broilers by Mandana Salehizadeh, Maryam Tajabadi Ebrahimi, Seyed Naser Mousavi, Abbas Akhavan Sepahi, Reza Orooji

“…Objective This study aimed to evaluate and compare the efficacy of three different feather meal processing methods as partial replacements for soybean meal in broiler diets. …”
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A lightweight mechanism for vision-transformer-based object detection by Yanming Ye, Qiang Sun, Kailong Cheng, Xingfa Shen, Dongjing Wang

“…Abstract DETR (DEtection TRansformer) is a CV model for object detection that replaces traditional complex methods with a Transformer architecture, and has achieved significant improvement over previous methods, particularly in handling small and medium-sized objects. …”
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NFT UNDER CONDITIONS OF CRITICAL TRANSFORMATIONS IN THE DIGITAL ASSET MARKET by Svitlana Volosovych, Mariia Nezhyva, Іgor Napadovskyi

“…The present article aims to examine the prospects for the development of non-fungible tokens (NFTs) in the context of global transformations in the digital asset market. A graphical method was employed in the study to identify global trends in the development of the NFT market. …”
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CNN–Transformer Hybrid Architecture for Underwater Sonar Image Segmentation by Juan Lei, Huigang Wang, Zelin Lei, Jiayuan Li, Shaowei Rong

“…Inspired by multimodal feature fusion learning, we propose a hybrid CNN–Transformer–Mamba architecture, termed FLSSNet. FLSSNet is built upon a CNN and Transformer backbone network, integrating four core submodules to address various technical challenges: (1) The asymmetric dual encoder–decoder (ADED) is capable of simultaneously extracting features from different modalities and systematically modeling both local contextual information and global spatial structure. (2) The Transformer feature converter (TFC) module optimizes the multimodal feature fusion process through feature transformation and channel compression. (3) The long-range correlation attention (LRCA) module enhances CNN’s ability to model long-range dependencies through the collaborative use of convolutional kernels, selective sequential scanning, and attention mechanisms, while effectively suppressing noise interference. (4) The recursive contour refinement (RCR) model refines edge contour information through a layer-by-layer recursive mechanism, achieving greater precision in boundary details. …”
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Challenges and opportunities of using applied theatre in environmental decision-making: the views of practitioners by Silvia Olvera-Hernandez, Paula Novo, Julia Martin-Ortega, M. Azahara Mesa-Jurado, George Holmes

“…Their projects explored aspects such as (a) the extent to which these techniques can enable dialogues on values and power differences, (b) the practicality of implementing these techniques, and (c) open spaces for transformation. …”
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Adaptive multimodal transformer based on exchanging for multimodal sentiment analysis by Gulanbaier Tuerhong, Feifan Fu, Mairidan Wushouer

“…Abstract Multimodal sentiment analysis significantly improves sentiment classification performance by integrating cross-modal emotional cues. However, existing methods still face challenges in key issues such as modal distribution differences, cross-modal interaction efficiency, and contextual correlation modeling. …”
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Utilizing transformative learning theory to enhance professional identity formation by Christine Pan, Jennie B. Jarrett, Kathryn Sawyer

“…ObjectiveTo analyze the impact of a Transformative Learning Theory (TLT)-based toolkit on pharmacy students’ self-evaluation of professional identity formation (PIF).MethodsThis prospective, interventional cohort study included pre-clinical pharmacy students in a hospital skills-based course. …”
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