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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Construction of several plant expression vectors using multiple cell wall degrading enzyme genes from Trichoderma harzianum and rice transformation by LIU Mei, SUN Zong-xiu, XU Tong

“…Three kinds of methods was used to solve different problems in the process of vector construction: (1) Restriction solution was used directly to ligation reaction for recovered DNA fragment usually influenced ligation frequency; (2) Using one cohensive end and one blunted end to carry out the ligation reaction was more effective than two blunted ends when restriction ends must be modified; (3) Choosing appro-priate mediated plasmid to introduce new restriction sites around certain DNA fragment and avoid linear ends modification. …”
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Evaluating Cognitive Function and Brain Activity Patterns via Blood Oxygen Level-Dependent Transformer in N-Back Working Memory Tasks by Zhenming Zhang, Yaojing Chen, Aidong Men, Zhuqing Jiang

“…This study aimed to evaluate brain activation patterns by analyzing functional magnetic resonance imaging (fMRI) time-series data collected during a designed N-back working memory task with varying cognitive demands. (2) Methods: We utilized a novel transformer model, blood oxygen level-dependent transformer (BolT), to extract the activation level features of brain regions in the cognitive process, thereby obtaining the influence weights of regions of interest (ROIs) on the corresponding tasks. (3) Results: Compared with previous studies, our work reached similar conclusions in major brain region performance and provides a more precise analysis for identifying brain activation patterns. …”
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A Solution-Structure B-Spline-Based Framework for Hybrid Boundary Problems on Implicit Domains by Ammar Qarariyah, Tianhui Yang, Fang Deng

“…By leveraging B-splines within the R-function method structure and adopting the stability principles of the WEB method, we construct a well-conditioned basis for numerical analysis. …”
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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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Enhancement of Thermal Stability of Ultra-high Temperature-Sterilized Yak Milk by Different Pretreatment Techniques by CAO Hongyu, ZHAO Xiaoxuan, WANG Yunna, XIE Ning, LI Xu, PANG Xiaoyang, LÜ Jiaping, YU Jinghua, LI Hongjuan, ZHANG Shuwen

“…The enhancing effects of different pre-treatment techniques (addition of emulsifying salts, electrodialysis, and resin adsorption) on the stability of ultra-high temperature (UHT)-sterilized yak milk with standardized protein content was investigated by measurement of ethanol stability, protein precipitation rate, whey protein denaturation rate and turbidity stability index (TSI) as well as by using Fourier transform infrared spectroscopy (FTIR) and inductively coupled plasma mass spectrometry (ICP-MS). …”
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A Hybrid Image Registration for Large Global and Non-Linear Local Deformed Images by Issa W. AlHmoud, Balakrishna Gokaraju, Marwan Bikdash

“…The fixed image control points are used to create a Delaunay triangulation, which along with mapping functions in the x and y directions will generate initial displacement fields that warp the moving image to get an initial approximation of the fixed image. The Demons method is used to further improve the quality of the transformed moving image. …”
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Coupling relationship between land use transition and rural transformation development: A case study of county-level regions in Jiangsu Province by GE Dazhuan, WANG Rumin, LU Xiaoxue

“…[Objective] The coupling level between land use transition and rural transformation development shows obvious gradient differentiation characteristics at different stages of socio-economic development or in different regions, and clarifying the coupling relationship between the two systems creates conditions for promoting sustainable rural revitalization. …”
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Trajectoires d’adaptation face au changement climatique : analyse et transformation du système de gouvernance du massif ardennais by Jon Marco Church

“…In this article, we are particularly interested in the Ardennes governance system. We first use transformational sustainability research methods through a methodological framework that combines different methods. …”
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Hydrolysis Patterns of Different Crystalline Raw Starches by a Novel Cold-adapted α-Amylase by Hongbo HUANG, Miao SHAO, Xiangze JIA, Bin ZHANG, Xiong FU, Qiang HUANG

“…The hydrolytic behavior of low-temperature α-amylase on A-type crystalline starch (waxy maize starch, WMS) and B-type crystalline starch (potato starch, PS) was investigated in this study, using porcine pancreatic α-amylase (PPA) as a control. Methods: Hydrolysis products were analyzed using anionic high-performance liquid chromatography (HPAEC), and the physicochemical properties of starch granules were examined through scanning electron microscopy (SEM), X-ray diffraction (XRD), fourier transform infrared spectroscopy (FTIR), and differential scanning calorimetry (DSC). …”
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IDEAS FOR TRANSFORMING THE STATE STRUCTURE OF THE RUSSIAN EMPIRE DURING THE REIGN OF ALEXANDER I (DEDICATED TO THE 200TH ANNIVERSARY OF THE DECEMBRIST REVOLT OF 1825) by PETROV Alexander Vasilievich

“…Methods: theoretical (dialectical logic), empirical (comparisons, descriptions), specific scientific (historical-legal). …”
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Mathematical and Machine Learning Innovations for Power Systems: Predicting Transformer Oil Temperature with Beluga Whale Optimization-Based Hybrid Neural Networks by Jingrui Liu, Zhiwen Hou, Bowei Liu, Xinhui Zhou

“…Power transformers are vital in power systems, where oil temperature is a key operational indicator. …”
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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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A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence by Emrah Aslan, Yildirim Ozupak, Feyyaz Alpsalaz, Zakaria M. S. Elbarbary

“…Power transformers are critical components in ensuring the continuous and stable operation of power systems. …”
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Visual explainability of 250 skin diseases viewed through the eyes of an AI‐based, self‐supervised vision transformer—A clinical perspective by Ramy Abdel Mawgoud, Christian Posch

“…Objectives This study aimed to form the basis for an inexpensive and explainable AI system, targeted at the vastness of clinical skin diagnoses by comparing so‐called ‘self‐attention maps’ of an SS and a supervised ViT on 250 skin diseases—visualizations showing areas of interest for each skin disease. Methods Using a public data set containing images of 250 different skin diseases, one small ViT was pretrained S) for 300 epochs (=ViT‐SS), and two were fine‐tuned supervised from ImageNet‐weights for 300 epochs (=ViT‐300) and for 78 epochs due to heavier regularization (=ViT‐78), respectively. …”
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Radio Frequency Sensing&#x2013;Based Human Emotion Identification by Leveraging 2D Transformation Techniques and Deep Learning Models by Najah AbuAli, Ihtesham Jadoon, Farman Ullah, Mohammad Hayajneh, Shayma Alkobaisi

“…The core objective is to evaluate the effectiveness of deep learning models from transformed time-frequency features, comparing their performance with different transformation techniques and training conditions. …”
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A quasi affine transformation evolution algorithm with evolution matrix selection operation for parameter estimation of proton exchange membrane fuel cells by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Samar Hussni Anbarkhan, Laith Abualigah

“…This paper presents a new approach that applies QUasi-Affine TRansformation Evolution algorithm with a new adaptation of Evolution Matrix and Selection operation (QUATRE-EMS) to determine optimal values of uncertain parameters in PEMFC stack references. …”
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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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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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Examination of the attitudes of prospective teachers toward the history of Turkish education course according to different variables by Dilsat Peker Ünal, Mehmet Sağlam, Berkay Kılıç

“…This study aimed to investigate attitudes toward the HTE course, which is offered at faculties of education, according to different variables. The correlational method, which is a quantitative research method, was used in the study. …”
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