On the Coupling of the Homotopy Perturbation Method and New Integral Transform for Solving Systems of Partial Differential Equations by E. E. Eladdad, E. A. Tarif

“…In the current work, a combination between a new integral transform and the homotopy perturbation method is presented. …”
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Digital Age Transformation in Patient-Physician Communication: 25-Year Narrative Review (1999-2023) by Mingming Song, Joel Elson, Dhundy Bastola

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Growth and Approximation of Laplace-Stieltjes Transform with p,q-Proximate Order Converges on the Whole Plane by Yong Qin Cui, Hong Yan Xu

“…One purpose of this paper is to study the growth of entire functions defined by Laplace-Stieltjes transform converges on the whole complex plane, by introducing the concept of p,q-proximate order, and one equivalence theorem of the p,q-proximate order of Laplace-Stieltjes transforms is obtained. …”
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CGV-Net: Tunnel Lining Crack Segmentation Method Based on Graph Convolution Guided Transformer by Kai Liu, Tao Ren, Zhangli Lan, Yang Yang, Rong Liu, Yuantong Xu

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Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification by Wenlin Wu, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang

“…This paper proposes a spectrum focus transformer (SFT) layer, which processes the signal spectrum and focuses on important frequency components. …”
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Research on Detecting AI-Generated Forged Handwritten Signatures via Data-Efficient Image Transformers by Yanli Hao, Zuyang Zheng

“…A model based on a pre-trained Data-Efficient Image Transformer (DeiT) was proposed to identify forged handwritten signatures. …”
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Lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution by Gang XIE, Quanyi WANG, Xinlin XIE, Jian’an WANG

“…Aiming at the problems of discontinuous segmentation of thin strip objects that were easy to blend into the surrounding background and a large number of model parameters in the semantic segmentation algorithm of traffic scenes, a lightweight Transformer traffic scene semantic segmentation algorithm integrating multi-scale depth convolution was proposed.First, a multi-scale strip feature extraction module (MSEM) was constructed based on deep convolution to enhance the representation ability of thin strip target features at different scales.Secondly, a spatial detail auxiliary module (SDAM) was designed using the convolutional inductive bias feature in the shallow network to compensate for the loss of deep spatial detail information to optimize object edge segmentation.Finally, an asymmetric encoding-decoding network based on the Transformer-CNN framework (TC-AEDNet) was proposed.The encoder combined Transformer and CNN to alleviate the loss of detail information and reduce the amount of model parameters; while the decoder adopted a lightweight multi-level feature fusion design to further model the global context.The proposed algorithm achieves the mean intersection over union (mIoU) of 78.63% and 81.06% respectively on the Cityscapes and CamVid traffic scene public datasets.It can achieve a trade-off between segmentation accuracy and model size in traffic scene semantic segmentation and has a good application prospect.…”
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Frank Hamilton Cushing, Tenatsali ou l’ethnologue qui fut transformé en Indien by Benjamin Balloy

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Evaluation of agriculture land transformations with socio-economic influences on wheat demand and supply for food sustainability by Danish Raza, Hong Shu, Muhsan Ehsan, Hong Fan, Kamal Abdelrahman, Hasnat Aslam, Abdul Quddoos, Rana Waqar Aslam, Majid Nazeer, Mohammed S. Fnais, Azeem Sardar

“…The results revealed that the cropland area was transformed into non-cropland, with a percentage of 8.01. …”
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RETRACTED: Institutional factors of labour potential development in the context of financial support for transformation of social infrastructure by Konorev Aleksandr, Artemov Vladimir, Krivoshlykov Vladimir

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A literature review on transformative impacts of blockchain technology on manufacturing management and industrial engineering practices by Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra, Milind Kumar Sharma

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Exiguobacterium acetylicum transformed poultry feathers into amino acids through an extracellular secretion of keratinolytic enzymes by Tutuka Dlume, Nonso E. Nnolim, Uchechukwu U. Nwodo

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Green Apple Detection Method Based on Multidimensional Feature Extraction Network Model and Transformer Module by Wei Ji, Kelong Zhai, Bo Xu, Jiawen Wu

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Do Assistive Technologies Moderate the Effect of Transformational Leadership on the Workplace Well-Being of Disabled Employees? by Wided Ragmoun, Abdulaziz Alfalih

Subjects: “…Transformational leadership…”
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Modified Fractional Reduced Differential Transform Method for the Solution of Multiterm Time-Fractional Diffusion Equations by Salah Abuasad, Ishak Hashim, Samsul Ariffin Abdul Karim

“…In this study, we introduce a new modification of fractional reduced differential transform method (m-FRDTM) to find exact and approximate solutions for nonhomogeneous linear multiterm time-fractional diffusion equations (MT-TFDEs) of constant coefficients in a bounded domain with suitable initial conditions. …”
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Loadability Analysis of Smart Solid-State Transformer Considering its Interactions Amongst all the Ports by Junru Chen, Yi Zhang, Muyang Liu, Yutian Chen, Rongwu Zhu

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Transforming educational space under the impact of the pandemic: student and teacher well-being in higher education by L. V. Kozhevnikova, I. E. Starovoytova, A. V. Shishkova

“…The article presents the study of some areas of educational space transformation under the COVID-19 pandemic influence. …”
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The Transformation and Leachability of Fly Ash/Cement Waste Forms Subjected to the Simultaneous Effect of Heat and Chemistry by Zhao Zheng, Hua Wen, Yuxiang Li, Min Qin, Yao Wang

“…This study researched the transformation of products, pore structure as well as the leachability of Ca2+, Na+, and simulated radioactive nuclides (Sr2+ and Cs+) in fly ash/cement waste forms under simultaneous effect through X-ray diffractometer (XRD), mercury intrusion porosimetry (MIP), and inductively coupled plasma optical emission spectroscopy (ICP-OES). …”
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Analyzing Ferroresonance Phenomena in Power Transformers Including Zinc Oxide Arrester and Neutral Resistance Effect by Hamid Radmanesh, Fathi Seyed Hamid

“…This paper studies the effect of zinc oxide arrester (ZnO) and neutral earth resistance on controlling nonconventional oscillations of the unloaded power transformer. At first, ferroresonance overvoltage in the power system including ZnO is investigated. …”
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RETRACTED: Digitalization in construction: transformation of procedural approaches and project optimization in order to increase the profitability of the industry by Zatsarinnaya Elena, Barinov Sergey, Plekhanova Svetlana, Khonchev Mikhail

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