Machine learning reveals immediate disruption in mosquito flight when exposed to Olyset nets by Yasser M. Qureshi, Vitaly Voloshin, Amy Guy, Hilary Ranson, Philip J. McCall, James A. Covington, Catherine E. Towers, David P. Towers

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MLHOps: Machine Learning Health Operations by Faiza Khan Khattak, Vallijah Subasri, Amrit Krishnan, Chloe Pou-Prom, Sedef Akinli-Kocak, Elham Dolatabadi, Deval Pandya, Laleh Seyyed-Kalantari, Frank Rudzicz

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A common cortical circuit mechanism for perceptual categorical discrimination and veridical judgment. by Feng Liu, Xiao-Jing Wang

“…Interestingly, for a broad range of intermediate angular distances between the two stimuli, the network displays a mixed strategy in the sense that direction estimates are stochastically produced by winner-take-all on some trials and by vector averaging on the other trials, a model prediction that is experimentally testable. …”
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«DELTA-VAC» SUBUNIT VACCINE INDUCES STRONG HUMORAL IMMUNE RESPONSE AGAINST SARS-COV-2 by Valentina Sergeevna Nesmeyanova, Yuliya Aleksandrovna Merkulyeva, Anastasiya Aleksandrovna Isaeva, Natalya Vyacheslavovna Volkova, Svetlana Valeryena Belenkaya, Mariya Borisovna Borgoyakova, Ekaterina Alexandrovna Volosnikova, Tatiana Igorevna Esina, Elena Dmitrievna Danilenko, Anna Vladimirovna Zaikovskaya, Sergey Evgenievich Olkin, Oleg Viktorovich Pyankov, Aleksandr Alekseevich Ilichev, Dmitriy Nikolaevich Shcherbakov

“…At the same time, an important advantage of subunit vaccines is scalability and relative ease of production, since there is no need to work with live virus or viral vectors during the production process. …”
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Localization of matter fields on a chameleon brane by Yi Zhong, Ke Yang

“…In this work, we address the localization problem of vector field in the chameleon braneworld and investigate the localization of various matter fields. …”
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Evolution of the rotational motion of a viscoelastic planet with a core on an elliptical orbit by A. A. Shatina, A. V. Starostina

“…The work is devoted to the study of the evolution of the rotational motion of a planet in the central Newtonian field of forces. …”
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Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification by K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi

“…In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. …”
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HEMOSTIMULATING PROPERTIES OF THE CONJUGATES OF GRANULOCYTE-MACROPHAGE COLONY STIMULATING FACTOR WITH ALENDRONIC ACID by G. G. Shimina, A. V. Bateneva, E. S. Tsyplenkova, S. G. Gamaley, T. I. Esina, E. A. Volosnikova, E. D. Danilenko

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Using text embeddings for deductive qualitative research at scale in physics education by Tor Ole B. Odden, Halvor Tyseng, Jonas Timmann Mjaaland, Markus Fleten Kreutzer, Anders Malthe-Sørenssen

“…To apply the technique, we build off prior work that used topic modeling via latent Dirichlet allocation to thematically analyze 18 years of the Physics Education Research Conference Proceedings literature. …”
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On-Orbit Calibration Method for Rotation Axis Misalignment in Rotating Mirror-Based Wide-Field Space Cameras by Guoxiu Zhang, Yishi Qiao, Zhenyuan Guo, Chen Wang, Yingming Zhao, Yuxin Zhang, Chunyu Liu, Xianren Kong

“…To mitigate this risk, this study proposes a simulation-based on-orbit calibration method for quantifying rotating mirror misalignment using a system of pointing vector equations. The method employs star coordinates as a reference to establish the reference pointing vector for stars, while simultaneously developing a model of the rotating mirror imaging system. …”
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SVD-Krylov–Based Structure-Preserving Techniques for Approximation of a Class of Second-Order Index-1 Descriptor Systems by Mahtab Uddin, M. Monir Uddin, Md. Abdul Hakim Khan

“…The main focus of this work is to avoid the so-called first-order conversion of the second-order systems and ensure the invariance of the matrix-vector operations of the original systems. …”
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Measuring solar neutrino fluxes in direct detection experiments in the presence of light mediators by Shuo-yu Xia

“…The potential of the dark matter direct detection experiments to provide independent measurements on solar neutrino fluxes in the Standard Model and in the presence of the light mediators is studied in this work. …”
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Optimization and prediction of corporate credit rating through advanced feature selection based on AI and deep learning by Jumanah Ahmed Darwish

“…A key contribution of this work is the introduction of a feature selection method based on RF, which significantly enhances model performance. …”
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Adenovirus gene transfer to amelogenesis imperfecta ameloblast-like cells. by Anton V Borovjagin, Juan Dong, Michael J Passineau, Changchun Ren, Ejvis Lamani, Olga A Mamaeva, Hongju Wu, Enid Keyser, Miho Murakami, Shuo Chen, Mary MacDougall

“…This work thus not only pioneers establishment of human AI ameloblast-like cell population as a model for in vitro studies but also reveals an optimal infectivity-enhancement strategy for a potential Ad5 vector-mediated gene therapy for AI.…”
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A Note on Discrete Multitime Recurrences of Samuelson-Hicks Type by Bruno Antonio Pansera, Francesco Strati

“…In particular, the multitime approach decomposes a point of time into a vector, taking into account how different coordinates of time referring to the same date can affect the dynamics of a model.…”
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REGISTRATION OF SURFACE ACOUSTIC WAVES in Z-SECTIONS of PIEZOELECTRIC SINGLE CRYSTALS ZnO and CdS by I. V. Linchevsky, M. V. Chursanova

“…The effects of cross-sectional dimensions of the electrodes, the scattered electric field, and of the harmonic electrical polarization vector are taken into account. Results. Mathematical models have been constructed for a long electrode of finite cross-sectional dimensions, intended for surface acoustic wave (SAW) excitation in Z-sections of piezoelectric crystals of crystallographic class 6mm. …”
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Zika virus has an oncolytic activity against human glioblastoma U87 cells by V. A. Svyatchenko, I. A. Razumov, E. V. Protopopova, A. V. Demina, O. I. Solovieva, E. L. Zavjalov, V. B. Loktev

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Determination of Industry Indicators of Financial Analysis of Enterprises (on the Example of the Industry for the Production of Crude Oil and Natural Gas) by N. A. Bukharin, M. B. Laskin, S. V. Pupentsova

“…The theoretical significance of the work is the algorithm proposed by the authors for calculating industry-specific indicators of financial analysis, characterized by obtaining modal values based on the analysis of the multidimensional logarithmically normal distribution of the vector of financial indicators of a sample of enterprises. …”
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Evaluation approach for network components performance using trustworthiness measurement by Gang XIONG, Ju-long LAN, Yu-xiang HU, Shi-ran LIU

“…For the network components selecting problem involved the process of building the new network and net-work service,a network component evaluation method was proposed based on the trustworthiness measurement and the model of the multiple attribute decision analysis.First of all,according to the flexible characteristics of the network ap-plication environment,an on-demand driven and dynamic strategy was designed for constructing trustworthiness index tree.Secondly,the uncertainty of the subjective weight was reduced by using the fuzzy analytic hierarchy process,and the combination weight calculated from the subjective objective weight was used to improve the fairness of weight-ing operation.Next,in the decision stage,the evaluation results were obtained through the integrated use of processing strategies which include the index data utility transformation,the trustworthiness attribute vector construction and the calculation of vector relative approximation degree.Finally,the rationality,applicability and validity of the presented ap-proach are demonstrated with the evaluation of the software defined network controllers,and the results contribute to provide operators more decision information.…”
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Predictability in process-based ensemble forecast of influenza. by Sen Pei, Mark A Cane, Jeffrey Shaman

“…In this work, we evaluate the effects of model initial condition error and stochastic fluctuation on forecast accuracy in a compartmental model of influenza transmission. …”
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