Design and Application of Automatic Preprocessing and Information Extraction of Enteromorpha Based on Remote Sensing Images by ZHANG Haorui, CHANG Junfang, FU Hongtao, WU Yuhua, CHEN Jian

“…At the same time, ArcGIS software was used to vectorize raster data and quantize the scale of enteromorpha, which provided high-quality satellite remote sensing image processing results for monitoring personnels. …”
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A Novel Gene Stacking Method in Plant Transformation Utilizing Split Selectable Markers by Guoliang Yuan, Md Islam, Gerald Tuskan, Xiaohan Yang

“…Gene stacking, the process of introducing multiple genes into a single plant to enhance desired traits, is essential for plant genetic improvement through both conventional breeding and genetic transformation. …”
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Les parasitoses qui minent les nouveaux pôles de développement au Burkina Faso : cas des schistosomoses et des géohelminthes dans le complexe hydroagricole du Sourou by Poda Jean Noël, Mwanga Joseph, Dianou Dayéri, Garba Amadou, Ouédraogo François de Charles, Zongo Dramane, Sondo K. Blaise

“…There are several factors leading to their outbreak, their spread and the difficulty in controlling them among others: the framework of aquatic biotope, their juxtaposition in space, distribution and the development process of the number of the parasites, vectors and the intermediary hosts, movement of the human population with different lines of parasites and their state of immunity, the behaviour of man-man-water-parasite relations and the hygiene of the environment, the perception of the people about the disease, the therapeutic means, and consequently the pertinence of the IEC, the statue of women and children in the parasite transmission and treatment programme. …”
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A SAM-Based Approach for Automatic Indoor Point Cloud Segmentation by M. S. A. Albadri, P. González-Cabaleiro, R. M. Túñez-Alcalde, A. Fernández, L. Díaz-Vilariño

“…In contrast, door and window segmentation starts by projecting planes containing wall points onto their normal vectors. The experiments have been performed using three real case studies. …”
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Quantitative Evaluation and Case Study of Risk Degree for Underground Goafs with Multiple Indexes considering Uncertain Factors in Mines by Longjun Dong, Weiwei Shu, Xibing Li, Zilong Zhou, Fengqiang Gong, XiLing Liu

“…The weights for evaluation vectors were calculated through the entropy theory and AHP. …”
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A Variational Inference-Based LSTM-Enhanced Deep Neural Model for Sequential Recommendations by Armielle Noulapeu Ngaffo, Ines Raissa Djouela Kamgang, Ebenezer Maka Maka, Yannick Malong

“…In addition, an enhanced variational inference coupled to the Evidence Lower Bound Optimization is applied on LSTM unit layers to perform uncertainty-aware predictions. Thereafter, latent vectors obtained from LSTM networks are effectively involved in the sequential recommendation process. …”
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The Model of Children’s Value Orientations in Educational Organizations: Design Approaches by Kaznacheyeva N.N., Metlik I.V., Shestakova O.A.

“…We have substantiated the targets guidelines for the results of children upbringing based on the Russian basic values as invariant settings, vectors of upbringing activities in educational organizations. …”
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GAGAN: Enhancing Image Generation Through Hybrid Optimization of Genetic Algorithms and Deep Convolutional Generative Adversarial Networks by Despoina Konstantopoulou, Paraskevi Zacharia, Michail Papoutsidakis, Helen C. Leligou, Charalampos Patrikakis

“…The proposed GAGAN model is trained on the CelebA dataset, using 2000 images, to generate 128 × 128 images, with the generator learning to produce realistic faces from random latent vectors. The discriminator, which classifies images as real or fake, is optimized not only through standard backpropagation, but also through a GA framework that evolves its weights via crossover, mutation, and selection processes. …”
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Numerical Simulation of Vertical Random Vibration of Train-Slab Track-Bridge Interaction System by PEM by Zhi-ping Zeng, Zhi-wu Yu, Yan-gang Zhao, Wen-tao Xu, Ling-kun Chen, Ping Lou

“…By regarding rail irregularity as a series of multipoint, different-phase random excitations, the random load vectors of the equations of motion are obtained by pseudoexcitation method. …”
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Pansharpening via Multiscale Embedding and Dual Attention Transformers by Wensheng Fan, Fan Liu, Jingzhi Li

“…Specifically, a multiscale embedding block is proposed to embed multiscale information of the images into vectors. Thus, transformers only need to process a multispectral embedding sequence and a panchromatic embedding sequence to efficiently use multiscale information. …”
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Transovarial transmission of Rickettsia spp., Francisella-like endosymbionts, and Spiroplasma spp. in Dermacentor reticulatus ticks by Anna Kloc, Angelina Wójcik-Fatla, Piotr Paprzycki, Lech Panasiuk

“…Research on the transovarial transmission of pathogens whose reservoirs and vectors are ticks has led to an understanding of the mechanisms related to the circulation and persistence of selected microorganisms in natural foci. …”
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BRICS in International Legal Space: Humanitarian Imperatives of International Security by B. Asadov, V. Gavrilenko, S. Nemchenko

“…The article is devoted to the examination of the formation of new vectors for international relations development within the global format of cooperation. …”
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Systematic review on the zoonotic potential of Helicobacter pylori by Carmen Almagro-Martínez, Ana Alenda-Botella, Lorena Botella-Juan

“…Furthermore, farm animals have been identified as potential vectors through direct contact with heavily contaminated environments. …”
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Trends in Biotechnological Development of Agriculture by V. F. Fedorenko

“…(Conclusions) It has been established that modern vectors of biotechnological development radically change not only agricultural production processes, but also the requirements for agricultural infrastructure and the concept of rural area development. …”
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Experimental Observation and Validation of EV Model for Real Driving Behavior by Antonio Covello, Andrea Di Martino, Michela Longo

“…Efforts are oriented to progressively dismiss old and outdated Internal Combustion Engines, replacing oil energy sources with electricity vectors. An important switch is involving transportation sector, responsible for 16% of global emissions produced, where the electrification process is converting the private mobility to the use of more sustainable electric vehicles. …”
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Immune Cell Targets of Infection at the Tick-Skin Interface during Powassan Virus Transmission. by Meghan E Hermance, Rodrigo I Santos, Brent C Kelly, Gustavo Valbuena, Saravanan Thangamani

“…Ixodes ticks are the vectors for POWV, and the virus is transmitted to a host's skin very early during the tick feeding process. …”
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A data augmentation approach to enhance breast cancer detection using generative adversarial and artificial neural networks by Alawee Wissam H., Al-Haddad Luttfi A., Basem Ali, Al-Haddad Abdullah A.

“…Prior to analysis, the images were subjected to a sophisticated data augmentation process that leveraged data denoising, contrast enhancement, and the application of a generative adversarial network (GAN). …”
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Development of IIOT-Based Pd-Maas Using RNN-LSTM Model with Jelly Fish Optimization in the Indian Ship Building Industry by PNV Srinivasa Rao, PVY Jayasree

“…The selected data set is pre-processed and feature selection for the optimization for the improvement in accuracy, and automation decision making the framework of the convolution neural network along with the ensemble boosted tree classifier developed is optimized using the jellyfish optimization and Recurrent Neural Network and Long Short-Term Memory (RNN-LSTM) model for the recognition of patterns and numerical vectors in the real-world data after processing of output then it is sent back as the input for the recurrent network to make the decision in the shipbuilding process. …”
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Self-Supervised Feature Disentanglement for Deepfake Detection by Bo Yan, Pan Liu, Yumin Yang, Yanming Guo

“…The core method comprises three key components: self-supervised sample construction and training samples for feature disentanglement, which are generated via an image self-mixing mechanism; feature disentanglement network, where the input image is decomposed into two parts—content features irrelevant to forgery and discriminative forgery-related features; and conditional decoder verification, where both types of features are used to reconstruct the image, with forgery-related features serving as conditional vectors to guide the reconstruction process. Orthogonal constraints on features are enforced to mitigate the overfitting problem in traditional methods. …”
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Turkic Integration and Some Aspects of Assessing Migration Potential on the Case of Kazakhstan and Turkey by Л.Ф. Деловарова, Г.С. Байкушикова, А.В. Хамзаева

“…At this stage, the OTS is in the process of defining strategic priorities and has the potential for further expansion. …”
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