Application of Flow Theory Relations for Solving Problems of Steady-State Crack Growth by M. A. Hundzina, O. V. Yuhnovskaya

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High-Accuracy Intermittent Strabismus Screening via Wearable Eye-Tracking and AI-Enhanced Ocular Feature Analysis by Zihe Zhao, Hongbei Meng, Shangru Li, Shengbo Wang, Jiaqi Wang, Shuo Gao

“…Based on the collected eye motion information, 16 features of the oculomotor process with strong physiological interpretations, which help biomedical staff understand and evaluate results generated later, are calculated through the introduction of pupil-canthus vectors. …”
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Current Advancement and Future Prospects in Simplified Transformation-Based Plant Genome Editing by Xueying Han, Zhaolong Deng, Huiyun Liu, Xiang Ji

“…Here, we systematically outline current advancements in simplifying plant GE, focusing on the optimization of tissue culture process through developmental regulators, the development of <i>in planta</i> transformation methods, and the establishment of nanomaterial- and viral vector-based delivery platforms. …”
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Do first-time avian migrants know where they are going: the clock-and-compass concept today by Nikita Chernetsov, Nikita Chernetsov, Gleb Utvenko

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Evaluation of Technology Commercialization Factors in Kazakhstan by G. Zh. Alibekova, B. M. Yedgenov, A. K. Kozhakhmetova, E. N. Mynbaeva

“…However, commercialization is a complex process influenced by various factors. This study aims to assess the mutual influence of commercialization factors of R&amp;D in Kazakhstan and provide recommendations to strengthen positive influences and mitigate negative ones. …”
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Continuous TOA Measurement-Based Single-Anchor Indoor Localization by Ting Lei, Shengshan Pan, Kaiyu Wang, Yan Yu

“…In addition, P-WL requires a cumbersome training process to maintain the robustness in application scenarios as much as possible. …”
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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

“… This paper reports about a multi-engine approach for the development of a Named Entity Recognition (NER) system in Bengali by combining the classifiers such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) with the help of weighted voting techniques. …”
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Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology by Qiong Wang, Zuohu Chen, Yongbo Zhou, Zhiyuan Liu, Zhenguo Peng

“…Based on long-term and short-term memory networks, this paper constructed a deep neural network model to process data. Recursive feature elimination method can be used for feature selection in the model, and multi-model integration method can be used for feature fusion. …”
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Optimizing power generation in a hybrid solar wind energy system using a DFIG-based control approach by Muhammad Salman, Syed Abdul Rahman Kashif, Muhammad Salman Fakhar, Akhtar Rasool, Abdulkerim Sherefa Hussen

“…The study controls the rotor and grid converters via a vector control technique. This study aims to optimize power extraction efficiency and hybrid system integration with electrical grids by applying the Maximum Power Point Tracking (MPPT) technique to solar and wind systems. …”
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A novel hybrid fuzzy analytical hierarchy process–game theory model for prioritizing factors affecting the deterioration of water pipelines by Eslam Mohammed Abdelkader, Tarek Zayed, Nehal Elshaboury

“…These methods encompass analytical hierarchy process (AHP), Monte Carlo AHP, fuzzy AHP, magnitude-based fuzzy AHP, total difference-based fuzzy AHP, spherical fuzzy AHP and Pythagorean fuzzy AHP. …”
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Neural signatures of depression: classifying drug-naïve MDD patients with time- and frequency-domain EEG features during emotional processing by Bernis Sütçübaşı, Tuğçe Ballı, Barış Metin, Emine Elif Tülay

“…The comparable performance of individual features to that of the combined feature sets indicates their strength as indicators of emotional processing in MDD. These findings provide valuable insights into the development of more reliable diagnostic tools and treatment monitoring strategies that focus on emotional processing in MDD.…”
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TRAJECTORYS OF DEVELOPMENT OF CONCEPTS OF REALITY by S. V. Gerasimov

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Early Invasion Process Monitoring of Spartina Alterniflora Using Long Time Series High-Resolution Satellite Remote Sensing Imagery by Guangbo Ren, Yabin Hu, Feng Lu, Yingfeng Zhou, Jianbu Wang, Peiqiang Wu, Yi Ma

“…<italic>Spartina alterniflora (S. alterniflora)</italic> rapidly invade new habitats by seed jumping propagation, and the early invasion process is characterized by discrete large patches and diffuse distribution small-scale patches. …”
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Development of a novel pseudovirus-based quality control material for HIV-1 nucleic acid testing and its application in external quality assessment by Di Han, Xin Zhang, Mingzhu Niu, Pinliang Pan, Wenge Xing, JingDong Song, Cong Jin

“…In summary, the novel HIV-1 PsV-based QCM can serve as a safe and sustainable alternative to existing HIV-1 NAT QCMs for EQA of HIV-1 NAT laboratories.IMPORTANCEThis study proposes a novel strategy to prepare HIV-1 nucleic acid testing (NAT) quality control material (QCM) using HIV-1 pseudovirus (PsV) packaged by an improved four-plasmid lentiviral vector (LV) system. The HIV-1 PsV-based QCM can simulate authentic virus particles and better monitor the entire HIV-1 NAT process, including nucleic acid extraction, amplification, and detection. …”
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Computer Simulation and Speedup of Solving Heat Transfer Problems of Heating and Melting Metal Particles with Laser Radiation by Arturas Gulevskis, Konstantin Volkov

“…The study of the process of laser action on powder materials requires the construction of mathematical models of the interaction of laser radiation with powder particles that take into account the features of energy supply and are applicable in a wide range of beam parameters and properties of the particle material. …”
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An Optimized Weighted-Voting-Based Ensemble Learning Approach for Fake News Classification by Muhammad Shahzaib Toor, Hooria Shahbaz, Muddasar Yasin, Armughan Ali, Norma Latif Fitriyani, Changgyun Kim, Muhammad Syafrudin

“…Furthermore, we evaluated the efficacy of three distinct word vectorization methods. Additionally, we employed an enhanced weighted voting ensemble model that enhances fake news detection by integrating logistic regression (LR), support vector machine (SVM), gated recurrent unit (GRU), and long short-term memory (LSTM) networks. …”
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Systematic Literature Review of Speaker Diarization Techniques: Toward Bridging Gaps in Low-resourced Languages Using Machine Learning by Mohd Zulhafiz Rahim, Sarah Samson Juan, Syahrul Nizam Junaini

“…Speaker diarization, the process of segmenting audio into speaker-specific regions, plays a critical role in various speech technologies by determining "who spoke when" in a conversation. …”
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Voice Conversion Based on Hybrid SVR and GMM by Peng SONG, Yun JIN, Li ZHAO, Cairong ZOU

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(In)acceptabilités environnementales et/ou sanitaires : dilemmes autour de la démoustication du littoral méditerranéen français by Elise Mieulet, Cécilia Claeys

“…Through a case study addressing mosquito and vector control policies in Metropolitan France, this paper stresses the need to deconstruct the normalisation and standardisation processes at work in the manufacturing of social acceptability. …”
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Speech Databases, Speech Features, and Classifiers in Speech Emotion Recognition: A Review by G. H. Mohmad Dar, Radhakrishnan Delhibabu

“…The review highlights the need for future work to address real-time processing, context-sensitive emotion detection, and the integration of multi-modal data to enhance the performance of SER systems. …”
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