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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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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Detection of pharmaceuticals and their transformation products in seawaters using off-line solid phase extraction and liquid chromatography-high resolution mass spectrometry by Aggeliki Kalogeropoulou, Christina Kosma, Triantafyllos Albanis

“…Methods: The present study describes the development of a highly selective and sensitive analytical method using solid phase extraction (SPE) followed by UHPLC-LTQ/Orbitrap MS for the determination of 18 frequently prescribed pharmaceuticals and 3 transformation products (TPs) in seawater. …”
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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 Direct Attitude Determination Approach Based on GPS Double-Difference Carrier Phase Measurements by Jianhua Cheng, Jing Wang, Lin Zhao

“…This contribution presents a new approach of attitude determination, in which the attitude angles are calculated by the double-difference carrier phase equation of GPS according to the relationship of attitude matrix and attitude angles through least-squares estimate method. …”
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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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Improved Quantization Method of Coupled Circuits in Charge Discrete Space by Jin-Ying Ma, Weiran Zhao, Weilin Wang, Zhan-Yuan Yan

“…However, it is not applied widely, mainly because of the difficulty of the mathematical solution to the finite-difference Schrödinger equation. In this paper, we propose an improved perturbation method to calculate Schrödinger equations of the inductance and capacity coupling mesoscopic circuit. …”
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Survey of channel estimation method in delay-Doppler domain for OTFS by Wang XING, Xiaogang TANG, Yiqing ZHOU, Chong ZHANG, Zhengang PAN

“…In order to provide reliable communication service for high-mobility scenarios, 6G can consider DD (delay-Doppler) domain based OTFS (orthogonal time frequency space) as its modulation scheme.By mapping the transmitted symbols onto DD domain and transforming them into TF (time-frequency) domain, OTFS endows all the transmitted symbols with the potential of capturing time-frequency full diversity, effectively improving the performance of communication in time-varying fading channels.Due to the superior properties of DD effective channel, the existing OTFS channel estimation methods were mostly carried out in DD domain.Considering the difference of implementation and application scenarios, existing DD channel estimation methods for OTFS were divided into three categories and overviewed, after which the challenges and potential solutions for current DD channel estimation methods were summarized and analyzed.…”
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Thermal Conductivity Performance of Silica Aerogel after Exposition on Different Heating under Ambient Pressure by Israa F. Al-sharuee

“…The varied thermal conductivity (insulation) of silica aerogel with heating for different pH has been investigated, it has been depended on ambient pressure drying method in the preparing silica aerogel samples, also six different pH of samples (1, 2, 3, 7, 8 and 9) were treated under five degree of heating with (50,100,150,200 and 250) ᴼC. …”
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Multispectral image fusion method based on edge chromatic aberration by Y. Shi, D. Qiu, R. Wu, R. Wu, W. Niu, Z. Wang

“…This method effectively solves the problems of multi-scale feature extraction and texture distortion of cracks through adaptive color difference correction and spectral consistency constraints, providing high-precision data support for intelligent road maintenance.…”
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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

“…The main concepts of the transformation of the Russian Empire were set out in the program documents of the leaders of these societies – “Russkaya Pravda” (“Russian Truth”) by P. …”
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A Crystallization-Induced Asymmetric Transformation using Racemic Phenyl Alanine Methyl Ester Derivatives as Versatile Precursors to Prepare Amino Acids by Samira Rahmani-Nezhad, Shima Dianat, Abbas Hadjiakhoondi

“…For some substrates such as amino acids, resolution by the formation of diastereomers offers an attractive alternative. Among different methods in this case, crystallization-induced asymmetric transformation (CIAT) that is in situ racemization and selective crystallization of a reaction product can be a good choice. …”
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The Creation, Analysis and Applications of τ-Σ Chart in the Pulsed Neutron Attenuation by KANG Xiaoquan, HU Youliang, FAN Leyuan, LIU Houwu, FU Xin, TIAN Jian

“…A field data of pulsed neutron instrument are processed, and the difference of results and processing steps between the traditional method and τ-Σ chart is analyzed. …”
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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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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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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–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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