AUGcontext DB: a comprehensive catalog of the mRNA AUG initiator codon context across eukaryotes by Vincent G. Osnaya, Laura Gómez-Romero, Gabriel Moreno-Hagelsieb, Greco Hernández

“…Our catalogue allows us to do comparative studies between species, may help improve the diagnosis of certain diseases, and will be key to maximize the production of recombinant proteins.…”
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Strategies to alleviate flickering: Bayesian and smoothing methods for deep learning classification in video by Noah Miller, Glen Ryan Drumm, Lance Champagne, Bruce Cox, Trevor Bihl

“…Flickering occurs when the CV algorithm switches between declared classes over successive frames. …”
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Potential effects of climate change on the threatened Malagasy poison frogs: A multispecies approach by Albert Carné, David R. Vieites, Neftalí Sillero

“…Our results suggest that 30% of Mantella species may gain habitat suitability extent, while 60% are predicted to lose it, with two threatened species forecasted to lose all suitable habitats island wide by 2100. …”
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Hierarchical genetic structure in an evolving species complex: Insights from genome wide ddRAD data in Sebastes mentella. by Atal Saha, Matthew Kent, Lorenz Hauser, Daniel P Drinan, Einar E Nielsen, Jon-Ivar Westgaard, Sigbjørn Lien, Torild Johansen

“…The diverse biology and ecology of marine organisms may lead to complex patterns of intraspecific diversity for both neutral and adaptive genetic variation. …”
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Multihop cost awareness task migration with networking load balance technology for vehicular edge computing by Shih-Yang Lin, Jie-Qin Wang, Shi-Ming Peng, Miao-Hui Yang, Shuo Jia

“…As the number of tasks offloaded to MEC servers increases, local MEC servers associated with vehicles may encounter insufficient computing resources for task offloading. …”
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Optimization Scheduling of Multi-Regional Systems Considering Secondary Frequency Drop by Xiaodong Yang, Xiaotong Hua, Lun Cheng, Tao Wang, Yujing Su

“…The column and constraint generation algorithm is employed to solve this two-stage optimization problem. …”
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Computational Identification of Milk Trait Regulation Through Transcription Factor Cooperation in Murciano-Granadina Goats by Muhammad Imran Khan, Hendrik Bertram, Armin Otto Schmitt, Faisal Ramzan, Mehmet Gültas

“…Initially, a random forest algorithm identified the relative importance of each single-nucleotide polymorphism (SNP) in determining the traits of interest. …”
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Comparison of Perimetric Outcomes from Melbourne Rapid Fields Tablet Perimeter Software and Humphrey Field Analyzer in Glaucoma Patients by Harsh Kumar, Mithun Thulasidas

“…To compare visual field results obtained using Melbourne Rapid Fields (MRF) iPad-based perimeter software and Humphrey Field Analyzer (HFA) 24-2 Swedish Interactive Threshold Algorithm (SITA) standard program in glaucoma patients. …”
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Prognostic Value of a Classification and Regression Tree Model in Patients with Open-Globe Injuries by Danica T. Esteban, MD, Karlo Marco D. Claudio, MD, Cheryl A. Arcinue, MD

“…Conclusion: The CART model demonstrated high accuracy in prognosticating visual outcomes after an open- globe injury in the local setting. It may be used as a helpful tool to guide treatment decisions in open-globe injuries.…”
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Distributed Collaborative Control Strategy for Intra-regional AGC Units in Interconnected Power System with Renewable Energy by Lei ZHANG, Xiaowei MA, Manliang WANG, Li CHEN, Bingtuan GAO

“…Hence, an AGC frequency control strategy based on distributed consistency algorithm is proposed to determine the settings of intra-regional AGC commands. …”
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Effect of immunization registry-based provider reminder to initiate HPV vaccination at age 9, Washington state by Trevor Christensen, Sherri Zorn, Kathy Bay, Katherine Treend, Chrystal Averette, Nicole Rhodes

“…The reach of IIS forecaster updates may be enhanced by working with administrators of electronic medical record systems to ensure parity of provider prompts with IIS.…”
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A generative deep neural network for pan-digestive tract cancer survival analysis by Lekai Xu, Tianjun Lan, Yiqian Huang, Liansheng Wang, Junqi Lin, Xinpeng Song, Hui Tang, Haotian Cao, Hua Chai

“…With the rapid advancement of artificial intelligence, various machine learning algorithms have been successfully applied in this field. …”
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The impact of artificial intelligence on financial auditing: the case of Algeria by Amira Benachour, Ramzi Kaddai, Hanane Abdelmalek, Fella Bochelgoum, Lamine Tarhlissia

“…It enables auditors to go beyond the limits of manual analysis, facilitating more accurate and data-driven decisions. AI algorithms can analyze vast volumes of transactions to detect anomalies that may indicate fraud, such as duplications, unexplained discrepancies, or unusual transaction patterns. …”
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Targeting childhood loneliness in china: in silico interventions and moderated network analysis by Xinle Yu, Xuanzhi Zhang, Kusheng Wu, Zhenqiang Xu, Zhiya Liang, Wanyi Wen, Dinghui Wang, Yanhong Huang

“…Conclusions Early, peer-focused, and context-sensitive strategies may more effectively support children’s well-being. …”
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Contact Lenses in Pediatric Ophthalmological Practice by E. Yu. Markova, E. A. Perfilyeva

“…In the process of selecting contact lenses for children, the ophthalmologist may face two main problems: the inability to determine the exact parameters of the cornea and manipulative difficulties associated with the anatomical and psychological characteristics of young patients.…”
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Evaluating end-to-end autonomous driving architectures: a proximal policy optimization approach in simulated environments by Ângelo Morgado, Kaoru Ota, Mianxiong Dong, Nuno Pombo

“…The study uses the Proximal Policy Optimization (PPO) algorithm within the CARLA simulation environment. …”
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Bridging Hydrological Ensemble Simulation and Learning Using Deep Neural Operators by Alexander Y. Sun, Peishi Jiang, Pin Shuai, Xingyuan Chen

“…Neural operators are generic machine learning algorithms that can learn functional mappings between infinite‐dimensional spaces, providing a highly flexible tool for scientific machine learning. …”
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Cheating Detection in Online Exams Using Deep Learning and Machine Learning by Bahaddin Erdem, Murat Karabatak

“…For regression and classification, deep neural network (DNN) from deep learning algorithms and support vector machine (SVM), decision trees (DTs), k-nearest neighbor (KNN), random forest (RF), logistic regression (LR), and extreme gradient boosting (XGBoost) algorithms from machine learning algorithms were used. …”
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Impact of Saharan Dust Intrusions on Atmospheric Boundary Layer Height over Madrid by Francisco Molero, Pedro Salvador, Manuel Pujadas

“…Advanced methods, such as the recently developed STRATfinder algorithm, are required to estimate the ABL height in the presence of residual layers. …”
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Performance assessment of BeiDou-3 PPP-B2b real time pre-cise point positioning by Yu Lin, Laiyong Song, Jiaqi Shen, Zelin Mu

“…In real-time kinematic PPP solutions, based on the PPP-B2b algorithm, decimeter-level accuracy is attained, particularly in the north and south directions. …”
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