Full genome virus detection in fecal samples using sensitive nucleic acid preparation, deep sequencing, and a novel iterative sequence classification algorithm. by Matthew Cotten, Bas Oude Munnink, Marta Canuti, Martin Deijs, Simon J Watson, Paul Kellam, Lia van der Hoek

“…The resulting short reads were processed with a novel iterative Python algorithm SLIM for the identification of sequences with homology to known viruses. …”
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Antibiotics-induced pulmonary embolism: A disproportionality analysis in Food and Drug Administration database of Adverse Event Reporting System using data mining algorithms by Pramod Kumar Adusumilli, Foujia Begum, Ankita Ashok Sangnure, Jeesa George

“…Unnecessary use of antibiotics is particularly concerning because antibiotics may be associated with a number of adverse drug events. …”
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Improved A* Algorithm Based on Artificial Potential Field Method for Global Path Planning of Unmanned Surface Vessels in Complex Environments by Shuxuan Liu, Zhijia Qian, Sunwei Jiang, Quanming Miao

“…Aiming at the problems of long path planning time, excessive ineffective expansion nodes, and easy collision with obstacles that may occur when using traditional A* algorithm for unmanned surface vessels in complex environments, an improved A* algorithm combined with artificial potential field thinking is proposed for global path planning of unmanned surface vessels. …”
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Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

“…Results indicate that the FATA algorithm produced minimum generation cost of 807.0405 $/h, which is 0.088–0.426% less than the competing algorithms. …”
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Treatment journey clustering with a novel kernel k-means machine learning algorithm: a retrospective analysis of insurance claims in bipolar I disorder by Matthew Littman, Huy-Binh Nguyen, Joanna Campbell, Katelyn R. Keyloun

“…Abstract In real-world psychiatric practice, patients may experience complex treatment journeys, including various diagnoses and lines of therapy. …”
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A high-speed MPPT based horse herd optimization algorithm with dynamic linear active disturbance rejection control for PV battery charging system by AL-Wesabi Ibrahim, Jiazhu Xu, Imad Aboudrar, Khaled Alwesabi, Li danhu, Hassan Z. Al Garni, Elhachemi Mammeri, Hossam Kotb, Mohit Bajaj, Shir Ahmad Dost Mohammadi

“…Abstract This study first proposes an innovative method for optimizing the maximum power extraction from photovoltaic (PV) systems during dynamic and static environmental conditions (DSEC) by applying the horse herd optimization algorithm (HHOA). The HHOA is a bio-inspired technique that mimics the motion cycles of an entire herd of horses. …”
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Who benefits from adjuvant chemotherapy? Identification of early recurrence in intrahepatic cholangiocarcinoma patients after curative-intent resection using machine learning algor... by Qi Li, Hengchao Liu, Yubo Ma, Zhenqi Tang, Chen Chen, Dong Zhang, Zhimin Geng

“…This study aimed to evaluate the effectiveness of machine learning algorithms in detecting early recurrence in ICC patients and select those who would benefit from ACT to improve prognosis.MethodsThe study analyzed 254 intrahepatic cholangiocarcinoma (ICC) patients who underwent curative-intent resection to identify early recurrence predictors. …”
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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

“…An inherent problem with most conventional global maximum power point tracking (GMPPT) algorithms is that they do not distinguish local and global peaks, and thus energy extraction may not be optimal. …”
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Predicting the risk of gastroparesis in critically ill patients after CME using an interpretable machine learning algorithm – a 10-year multicenter retrospective study by Yuan Liu, Songyun Zhao, Wenyi Du, Wei Shen, Ning Zhou

“…BackgroundGastroparesis following complete mesocolic excision (CME) can precipitate a cascade of severe complications, which may significantly hinder postoperative recovery and diminish the patient’s quality of life. …”
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Towards a long-term dataset of ELBARA-II measurements assisting SMOS level-3 land product and algorithm validation at the Valencia Anchor Station by R. Fernandez-Moran, J. P. Wigneron, E. López-Baeza, M. Miernecki, P. Salgado-Hernanz, M.A. Coll, Y. H. Kerr, M. Schwank

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Real defect partial discharge identification method for power cables joints based on integrated PJS-M and GA-SVM algorithm with multi-source fusion by Ling-Xuan Zhang, Yi-Yang Zhou, Shen-Jiong Yao, Jia-Luo Chai, Ying-Jing Chen, Zhou-Sheng Zhang

“…Previous studies on 10 kV cable intermediate joint defects have mainly focused on typical defect types and employed single-sensor data acquisition, leading to incomplete characterization of defect features and reduced recognition accuracy. …”
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HFSA: hybrid feature selection approach to improve medical diagnostic system by Asmaa H. Rabie, Mohammed Aldawsari, Ahmed I. Saleh, M. S. Saraya, Metwally Rashad

“…In the next step, the filtered data is passed to the naive Bayes (NB) classifier in DL to give accurate diagnoses. In this work, the main contribution is represented in introducing HFSA as a new selection approach that is composed of two main stages; fast stage (FS) and accurate stage (AS). …”
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Diagnostic criteria for spinal muscular atrophy 5q by I. V. Sharkova, E. L. Dadali, S. S. Nikitin

“…The variety of phenotypic manifestations of spinal muscular atrophy 5q (5qCMA) is the reason for the difficulty in diagnosing and delaying the diagnosis, which is of particular importance today due to the emergence of new etiopathogenetic therapeutic possibilities.Objective: determination of the main clinical features and symptoms of 5qCMA with onset at different age periods, and the development of an algorithm that can help in making decisions regarding the need for testing the SMN1 gene by primary care and hospital doctors.Materials and methods. …”
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Development of Executive Equipment Design for Implementing the Process of Generating of Drops of Microand Nanoscale Range by M. A. Kuznetsov, D. P. Ilyaschenko, A. V. Kryukov, S. A. Solodsky, E. V. Lavrova, E. V. Verkhoturova

“…For obtaining small-sized particles one of the main parameters is the plasma flow  velocity.  It  is necessary that the plasma outflow velocity be close to supersonic. …”
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An Algorithm for Sound Velocity Error Correction Using GA-SVR Considering the Distortion Characteristics of Seabed Topography Measured by Multibeam Sonar Mounted on Autonomous Unde... by Xiaohan Yu, Junsen Wang, Yang Cui, Shaohua Jin, Gang Bian, Na Chen

“…To eliminate the SVE in the extended SSP, the function of water depth, lateral distance, and SVE was first derived. Then, the SVE of the main survey line was corrected, including calculating the discrepancy values between the matching point pairs of the main and auxiliary survey lines, and establishing a regression model about depth error using the SVR algorithm. …”
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Recommendations for Increasing the Efficiency of Promotion of Websites in Belarusian Region by E. M. Yelovaya

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A contract-based cooperative spectrum sharing model in cognitive radio network by Guangqiang SHI, Ying LIU, Xiaomin MU

“…A contract-based cooperative spectrum sharing model in cognitive radio network was proposed.In this model,secondary user offers relay service for primary user when primary user's channel is poor.In return,when primary user's channel is good,secondary user can use spectrum with the underlay mode under the condition that the interference is limited.Contract theory in economics was introduced to this framework,the problem of collaboration between the primary and secondary users was modeled as a contract design problem,and the effectiveness function of evaluate primary and secondary users on contract revenue was set up.And the differential evolution algorithm was used to solve the problem.Finally,in different circumstances,primary user collaboration and un-collaboration were contrasted.The results showed that the main users under the condition of no additional input spectrum,not only save the sending power,but also effectively improve the data transfer rate,and improve the energy efficiency and spectrum efficiency.…”
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Power losses reduction by optimal allocation of renewable distributed generation in distribution networks by Abdelkader Boukaroura, Mohammed Amroune

“…In distribution networks (DN), the optimal allocation of Renewable Distributed Generation (DG) units can significantly improve system performance by reducing power losses and enhancing the voltage profile and stability of the radial distribution network. The main objective of this paper is to apply the marine predator algorithm (MPA) to optimize the siting and sizing of DG units in the DN. …”
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Comparative analysis of audio-MAE and MAE-AST models for real-time audio classification by Lesia Mochurad

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Incorporating Intelligence in Multiple-Attribute Decision-Making using Algorithmic Framework and Double-Valued Neutrosophic Sets: Varied Applications to Employment Quality Evaluati... by Qiuyan Zhao, Wentao Li

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