A Novel Diagnostic Framework with an Optimized Ensemble of Vision Transformers and Convolutional Neural Networks for Enhanced Alzheimer’s Disease Detection in Medical Imaging by Joy Chakra Bortty, Gouri Shankar Chakraborty, Inshad Rahman Noman, Salil Batra, Joy Das, Kanchon Kumar Bishnu, Md Tanvir Rahman Tarafder, Araf Islam

“…In this work, a novel and optimized detection framework has been proposed that comes with remarkable performance that can classify the level of Alzheimer’s accurately and efficiently. <b>Methods:</b> A powerful vision transformer model (ViT-B16) with three efficient Convolutional Neural Network (CNN) models (VGG19, ResNet152V2, and EfficientNetV2B3) has been trained with a benchmark dataset, ‘OASIS’, that comes with a high volume of brain Magnetic Resonance Images (MRI). …”
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Kombinasi Intent Classification dan Named Entity Recognition pada Data Berbahasa Indonesia dengan Metode Dual Intent and Entity Transformer by Zahra Asma Annisa, Rizal Setya Perdana, Putra Pandu Adikara

“…Untuk mengatasi masalah tersebut, klasifikasi intensi dan NER dapat digabungkan dengan menggunakan mekanisme multi-task learning dalam bentuk model Dual Intent and Entity Transformer (DIET). Penelitian dilakukan dengan memanfaatkan data sekunder dari Helpdesk TIK UB, merancang model DIET menggunakan pustaka PyTorch dan Transformers, lalu mengevaluasi model DIET menggunakan f1-score. …”
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Expression and Characterization of Alkaline Phosphatase from <i>Cobetia amphilecti</i> KMM 296 in Transiently Transformed Tobacco Leaves and Transgenic Calli by Peter Adeolu Adedibu, Yulia Aleksandrovna Noskova, Yulia Anatolievna Yugay, Daria Mikhailovna Ovsiannikova, Elena Anatolievna Vasyutkina, Olesya Dmitrievna Kudinova, Valeria Petrovna Grigorchuk, Yury Nikolaevich Shkryl, Liudmila Aleksandrovna Tekutyeva, Larissa Anatolievna Balabanova

“…The <i>alp</i> gene encoding for CmAP was cloned into the binary vectors pEff and pHREAC and transformed into <i>N. tabacum</i> leaves through agroinfiltration and the leaf disc method for callus induction using <i>Agrobacterium tumefaciens</i> strain EHA105. …”
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3D medical image segmentation using the serial–parallel convolutional neural network and transformer based on cross‐window self‐attention by Bin Yu, Quan Zhou, Li Yuan, Huageng Liang, Pavel Shcherbakov, Xuming Zhang

“…The core components of the proposed method include the cross window self‐attention based transformer (CWST) and multi‐scale local enhanced (MLE) modules. …”
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A Comparative Approach to the Solution of the Zabolotskaya-Khokhlov Equation by Iteration Methods by Saeed Ahmed, Muhammad Kalim

“…We employed different iteration methods like Homotopy Analysis Method (HAM), Adomian Decomposition Method (ADM), and Variational Iteration Method (VIM) to find the approximate solution to the Zabolotskaya-Khokhlov (ZK) equation. …”
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Enhancement of transforming growth factor-beta 1 levels during orthodontic relapse after nanoemulsion carbonated hydroxyapatie - statin administration in rats by Yunita Pransisca, Niswati Fathmah Rosyida, Sri Suparwitri, Ananto Ali Alhasyimi

“…Relapse is acknowledged as a substantial failure subsequent to orthodontic correction. Transforming growth factor-beta 1 (TGF-β1) modulates osteoblastogenesis and stimulates β-catenin signaling. …”
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Rep-MobileViT: Texture and Color Classification of Solid Wood Floors Based on a Re-Parameterized CNN-Transformer Hybrid Model by Anning Duanmu, Sheng Xue, Zhenye Li, Yajun Zhang, Chao Ni

“…However, most current research does not address the simultaneous classification of both texture and color in solid wood floors, and there is a notable gap in studies focusing on the classification of color-difference wood floors and white-edge wood floors. This paper proposes a re-parameterized CNN-Transformer hybrid architecture based on the MobileViT model, named Rep-MobileViT. …”
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Association of RS1800470 polymorphic variants of the transforming growth factor β1 (TGF-β1) gene with the severity of coronary atherosclerosis by D. A. Brusentsov, S. Yu. Nikulina, P. A. Shesternya, A. A. Chernova

“…To study the relationship of rs1800470 polymorphic variants of the transforming growth factor p1 (TGF-β1) gene with the severity of coronary arteries (CA) atherosclerosis.Material and methods. …”
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Transforming the Health Research Workforce in Mozambique: Achievements of the Mozambique Institute for Health Education and Research (MIHER) over a 13-Year Journey by Emília Virgínia Noormahomed, Sérgio Noormahomed, Matchecane Cossa, Nicole Joyce, Regina Daniel Miambo, Irina Mendes Sousa, Noémia Nhacupe, Tufária Mussá, Jahit Sacarlal, Lídia Gouveia, Luís Jorge Ferrão, Carla Carrilho, Mamudo Ismail, Davey Smith, Natasha K. Martin, Ravi Goyal, Kim E. Barrett, Sónia Santana Afonso, Amélia Mandane, Alarquia Saíde, Pompílio Vintuar, Brígida Singo, Boaventura Aleixo, Luck Injage, Elizabeth A. Winzeler, Paulo Correia-de-Sá, Maria do Rosário Oliveira Martins, Paulo Ferrinho, Sam Patel, Ana Olga Mocumbi, Stephen W. Bickler, Constance A. Benson, Roberto Badaró, Robert T. Schooley

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Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification by Burooj Ghani, Vincent J. Kalkman, Bob Planqué, Willem-Pier Vellinga, Lisa Gill, Dan Stowell

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TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…According to the different method for solving constrained optimization problem, the TFC methods are divided into TFC-MP (TFC-Matching Pursuit), TFC-OMP (TFC-Orthogonal Matching Pursuit) and TFC-StOMP (TFC-Stagewise Orthogonal Matching Pursuit) methods. …”
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Comparative analysis of content of the matrix metalloproteinase-9 in patients with acute cerebral strokes of different types by E. V. Baranova

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A Visualization of Ultrasonic Beam from a Medical Transducer using a Combination of Background-Oriented Schlieren Imaging with Hilbert Transformation by Margi Sasono, Apik Rusdiarna IP

“…The ultrasonic waves in water displace the patterns relative to the reference. A Hilbert Transform (HT) has been used to estimate the displacement of patterns proportional to the phase difference. …”
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Analysis of different IDS-based machine learning models for secure data transmission in IoT networks by Gladić Dejana, Petrovački Jelena, Sladojević Srdan, Arsenović Marko, Ristić Sonja

“…The study examines preprocessing techniques, focusing on dimensionality reduction (principal component analysis, variance inflation factor, Pearson’s test), outlier detection (interquartile range, Z-score, Isolation Forest), and transformation methods (Box–Cox, RobustScaler, Winsorization). …”
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Different Approach on our Cells and the Use of CRISPR/Cas 9 Technology: Super Gene'ethic by Ayşenur Taşkaya, Ayşe Nur Akmeşe, Himmet Akkaya, Ece Demirel, Sümeyra Demir, Emine Kav, Şengül Koçer, Elif Senanur Yüksel, Pelin Bacak, Serap Karakaya, Mohammed Saleh Ameen Al Qadri, Hale Köksoy

“…Aims: CRISPR/Cas9, a revolutionary genome editing tool derived from a bacterial system, has transformed molecular biology research, enabling precise and versatile modifications to the genome. …”
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Studies of Phase Transformation Kinetics in the System of Nanocrystalline Iron/Ammonia/Hydrogen at the Temperature of 350 °C by Means of Magnetic Permeability In Situ Measurement by Walerian Arabczyk, Rafał Pelka, Agnieszka Brzoza-Kos, Ireneusz Kocemba, Paulina Rokicka-Konieczna, Katarzyna Skulmowska-Polok, Kamila Klimza, Zofia Lendzion-Bieluń

“…In the area of α → γ’ transformation, the magnetic permeability dependencies change, proving the existence of two mechanisms of the α-Fe structure change in the α-Fe → γ’-Fe₄N transformation. …”
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Features of subset composition and functional activity of blood lymphocytes in tick-borne infections of different etiologies by O. V. Voronkova, E. N. Ilyinskikh, R. R. Hasanova, I. E. Esimova, K. V. Nevskaya, M. R. Karpova, N. A. Chernyshov, A. V. Yampolskaya, O. V. Yampolskaya

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Dynamic Evolution, Spatial Differences, and Convergence of Land Green Use Efficiency in Resource-based Cities by BIAN Zhiqiang, ZHANG Qianhua

“…［Objective］ To reveal the spatiotemporal evolution, distribution dynamics, spatial differences, and convergence characteristics of land green use efficiency in resource-based cities, in order to clarify the land use status, optimize the national spatial development pattern, and provide a reference for comprehensive green transformation of economic and social development. …”
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Effect of high glucose on the gene expression profiling in cardiac fibroblasts from rats at different ages by Quqian Mo, Angyu Zhan, Ruining Bai, Shaoling Lin, Jiaojiao Feng, Tongjun Li, Zijian Lao, Xiao Yang, Keke Wang, Xianglu Rong, Lexun Wang

“…Previous studies have demonstrated that high glucose stimulation induces the transformation of CFs into myofibroblasts, contributing to cardiac fibrogenesis. …”
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Failure Detection of Powertrain Components in Motor Vehicles Using Vibroacoustic Methods by Balázs József KRISTON, Károly JÁLICS

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