Comprehensive Analysis of the Influence of Technical and Biological Variations on De Novo Assembly of RNA-Seq Datasets by Gonzalez Sergio Alberto, Rivarola Maximo, Ribone Andres, Lew Sergio, Paniego Norma

“…This selection will affect the completeness of represented genes and assembled isoforms, as well as contribute to error reduction.…”
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SFMattingNet: A Trimap-Free Deep Image Matting Approach for Smoke and Fire Scenes by Shihui Ma, Zhaoyang Xu, Hongping Yan

“…Since image matting algorithms compute these alpha values, the quality of the alpha composition directly depends on the performance of the smoke and fire matting methods. …”
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Data source and utilization of artificial intelligence technologies in vascular surgery—a scoping review by Katarzyna Powezka, Katarzyna Powezka, Katarzyna Powezka, Karin Slater, David Brind, Michael Wall, Michael Wall, Georgios Gkoutos, Maciej Juszczak, Maciej Juszczak

“…Image-based data were utilised in 216 articles, while 153 and 85 papers relied on medical records, and clinical parameters. The AI algorithms were used for predictive modelling (123 papers), medical image segmentation (118), and to aid identification, detection, and diagnosis (103).DiscussionApplications of Artificial Intelligence (AI) are gaining traction in healthcare, including vascular surgery. …”
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Probabilistic performance assessment of seismically excited buildings with semi-active fluid viscous dampers by Ali Asghar Naderi, Sina Bkhshinezhad, Shahrokh Rezaei

“…Some efficient on-off semi-active control algorithms based on motion towards or away from equilibrium, sky-hook, and ground-hook have been considered to determine the variable damping in each time step. …”
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A Logarithmic Compression Method for Magnitude-Rich Data: The LPPIE Approach by Vasileios Alevizos, Zongliang Yue, Sabrina Edralin, Clark Xu, Nikitas Gerolimos, George A. Papakostas

“…This achieves significant reduction in data size, especially on large integer datasets. …”
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Hyperspectral Imaging Combined with a Dual-Channel Feature Fusion Model for Hierarchical Detection of Rice Blast by Yuan Qi, Tan Liu, Songlin Guo, Peiyan Wu, Jun Ma, Qingyun Yuan, Weixiang Yao, Tongyu Xu

“…Rice blast caused by <i>Magnaporthe oryzae</i> is a major cause of yield reductions and quality deterioration in rice. Therefore, early detection of the disease is necessary for controlling the spread of rice blast. …”
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Urban Triatomines in Central México: Linking Ecological Niche Models with New <i>Triatoma barberi</i> (Reduviidae:Triatominae) Records by Salvador Zamora-Ledesma, Norma Hernández-Camacho, Jesús Luna-Cozar, Robert W. Jones, María Elena Villagrán-Herrera, Brenda Camacho-Macías

“…The MaxEnt algorithm was used to generate the model, which was validated through AUC and TSS metrics. …”
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Artificial Intelligence and Nature-Inspired Techniques on Optimal Biodiesel Production: A Review—Recent Trends by Christos Kyriklidis, Aikaterini Koutouvou, Konstantinos Moustakas, Vayos Karayannis, Constantinos Tsanaktsidis

“…The algorithms’ accuracy and effectiveness were evaluated in various case studies and detailed results were offered in every publication. …”
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Key Technologies for Intelligent Control of Heavy-Haul Trains Focusing on Safe and Efficient Operation by WANG Qingyuan, WEI Mi, HU Yunqing, WANG Jianhua, JIANG Fan, ZHANG Zhengfang, WANG Kaiyun

“…Finally, this paper analyzes new opportunities in the field of train control, incorporating emerging technologies such as data-driven approaches, artificial intelligence algorithms, and multi-source information fusion. Additionally, it discusses the establishment of coupled simulation platforms and evaluation systems as potential means for the effective analysis, evaluation, and optimization of operational safety for heavy-haul trains.…”
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Evaluating the Efficacy of the More Young HIFU Device for Facial Skin Improvement: A Comparative Study with 7D Ultrasound by Ihab Adib, Youjun Liu

“…The More Young device features enhanced focal depth precision and energy delivery algorithms, including nine pre-programmed stabilization checkpoints to minimize treatment risks. …”
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LSAP: A Learned Structure-Aware Pruning Point Cloud Classification Approach for Cyber Physical Social Intelligence by Xinhong Liu, Yangfan Li, Fengxiao Tang, Ming Zhao

“…Furthermore, we implement a Learning-based Structure-Aware Pruning (LSAP) method to avoid the high computational cost associated with top-k selection algorithms. Comprehensive experiments on the ModelNet40 dataset verify the effectiveness of our method. …”
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Human-Centered AI for Migrant Integration Through LLM and RAG Optimization by Dagoberto Castellanos-Nieves, Luis García-Forte

“…Traditionally, the focus on algorithms alone has shifted toward a more comprehensive understanding of AI’s potential to shape technology in ways which better serve human needs, particularly for disadvantaged groups. …”
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NID-DETR: A novel model for accurate target detection in dark environments by Qingyuan Pan, Qiang Liu, Wei Huang

“…Current mainstream algorithms face challenges in extracting meaningful features under low-light conditions, which significantly limits their effectiveness. …”
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A novel method for asynchronous source localisation based on time of arrival measurements by Huijie Zhu, Sheng Liu, Zhiqiang Yao, Moses Chukwuka Okonkwo, Zheng Peng

“…First, by leveraging dimensionality reduction, the maximum (minimum) distance maximum (minimum) time-of-arrival matching-based second-order Monte Carlo method is applied to find a rough initial position of the signal source with low computational complexity. …”
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On the Effectiveness of Vaccination against Infections Common to Humans and Animals, as Part of the Immunization Schedule for Epidemic Indications in the Russian Federation by N. M. Afonina, I. V. Mikheeva

“…The regulatory and methodological framework of the surveillance for vaccine prevention of infections common to humans and animals needs to be improved in terms of developing algorithms for assessing the number and coverage of target population groups, introducing accounting for vaccination and revaccination vaccinations, as well as registering the incidence of vaccinated and unvaccinated persons.…”
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Context Aware Task Orchestration With Deep Reinforcement Learning in Real Time Fog Computing Simulation Environment by Alp Gokhan Hossucu, Suat Ozdemir

“…The results of the experiment proved the superiority of the proposed system over the existing round-robin heuristic-based algorithms and the offloading of policy baselines with an overall increase in precision 28%. …”
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FORMATION PROGRAM IN MATHEMATICS AT THE TECHNICAL UNIVERSITY AND THE QUALITY OF KNOWLEDGE by Y. P. Bogomolova

“…Restructuring of mathematics programs is designed to develop logical and algorithmic thinking of engineering students; to cultivate an applied mathematical culture; formation of insight and erudition in mathematics application.Practical significance. …”
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A Data-Driven Machine Vision Framework for Quality Management in Photovoltaic Module Manufacturing by In-Bae Lee, Youngjin Kim, Sojung Kim

“…Autonomous decision-making algorithms are devised to recognize incorrect patterns of PV modules in terms of product quality. …”
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Modified method of vacuum therapy in the treatment of infected poststernotomy wounds by A. L. Charyshkin, A. A. Guryanov

“…The modified method of vacuum therapy in combination with effective algorithms for treating purulent-septic complications of post-sternotomy wounds allows physicians to avoid fatal complications and achieve good clinical results.…”
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A standardized criteria-based progressive shoulder exercise program is effective in managing rotator cuff-related shoulder pain: A prospective cohort study. by Judy Chepeha, Anelise Silveira, David Sheps, Charlene Luciak-Corea, Fiona Styles-Tripp, Lauren Beaupre

“…<h4>Results</h4>Significant reductions in pain at rest, at night and with activity (p < 0.001) occurred within six weeks and continued to 26-weeks. …”
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