A Novel Jamming Method Based on Sine Function Secondary Modulation and Phase Coded Modulation by Guikun Liu, Guangyuan Li, Zhenyang Xu, Haoming Xu, Feng Ming, Liang Li, Chen Song, Zhengshuai Li, Peng Wang

“…Meanwhile, deception jamming requires high-precision reconnaissance of signal parameters and complex algorithm design, so it is difficult to develop the system. …”
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Estudio de la variación del acabado superficial del cilindro en función de la presión de diseño en los hidromotores de pistones radiales. // Cylinder superficial finish variation s... by G. Morejón Vizcaino

“…</p><p><br />Key words: Volumetric efficiency, algorithm, hydraulic motors, superficial finish, looseness.…”
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Detection and Geolocation of Peat Fires Using Thermal Infrared Cameras on Drones by Temitope Sam-Odusina, Petrisly Perkasa, Carl Chalmers, Paul Fergus, Steven N. Longmore, Serge A. Wich

“…Finally, a geolocation algorithm is presented to identify the GNSS location of these fires once they are detected in an image to aid fire-fighting responses. …”
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Recent advances in autoimmune encephalitis by João Henrique Fregadolli Ferreira, Caio César Diniz Disserol, Bruna de Freitas Dias, Alexandre Coelho Marques, Marina Driemeier Cardoso, Pedro Victor de Castro Silva, Fabio Fieni Toso, Lívia Almeida Dutra

“…Since the description of autoimmune encephalitis (AE) associated with N-methyl-D-aspartate receptor antibodies (anti-NMDARE) in 2007, more than 12 other clinical syndromes and antibodies have been reported. …”
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A deep learning model to predict Ki-67 positivity in oral squamous cell carcinoma by Francesco Martino, Gennaro Ilardi, Silvia Varricchio, Daniela Russo, Rosa Maria Di Crescenzo, Stefania Staibano, Francesco Merolla

“…Aside from classification, detection, and segmentation models, predictive models are gaining traction since they can impact diagnostic processes and laboratory activity, lowering consumable usage and turnaround time. …”
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A METHODOLOGICAL APPROACH TO DESIGNING EXPERIMENTS WHEN DEALING WITH IDENTIFICATION TESTS FOR MEDICINAL PRODUCT COMPONENTS (AS ILLUSTRATED BY ASCORBIC ACID) by Yu. B. Purim, M. L. Kruglyakova, L. N. Bulanova, M. V. Agapkina, L. N. Stronova, T. N. Bokovikova, E. P. Gernikova

“…The suggested algorithm includes the choice of reactions, determination of their sensitivity and applicability for a particular medicinal product, analysis of the other components’ effects on the results of the chemical reaction,  and the need for additional sample preparation.  …”
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Method of Entry Layout under Synergistic Effects of Abutment Stress and Dynamic Stress by Wenlong Shen, Guocang Shi, Meng Wang, Tenglong Rong, Yungang Wang, Ruifeng Zhang, Xiangyu Wang, Jianbiao Bai

“…The analysis procedure can be repeatable and necessary since the rock and coal materials may be different in geological and engineering conditions.…”
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The hermeneutic circle as a means of illustration of the understanding problem when teaching didactic communications by E. E. Neupokoeva, N. K. Chapaev

“…The publication considers the hermeneutic circle model as a visual image that illustrates the specifics of cognitive processes when studying user algorithms as the basis for information exchange in the field of IT. …”
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Market and cadastral data comparison for the real estate market value forecasting by M. B. Laskin, P. A. Cherkesova

“…The theoretical significance of the work is the proposed algorithm for estimating the most probable trajectory of the market value of the investigated object, based on the conditional multivariate log-normal distribution for a given value of the cadastral value. …”
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INCIDENCE OF PSORIATIC ARTHRITIS IN RUSSIA: TRENDS AT THE PRESENT STAGE AND PROSPECTS by O. S. Mishina, T. V. Korotaeva, V. I. Starodubov, E. L. Nasonov

“…This disease has been recorded in the official statistics of the Ministry of Health of Russia since only 2009. In 2011 in the Russian Federation as whole, the incidence of PsA, or arthropathic psoriasis (according to the International Classification of Diseases (ICD)), was 12.3 per 100,000 population or 5.7% of all registered psoriasis cases, which was substantially lowerthan that in other countries. …”
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Overlap syndrome of atopic dermatitis and allergic contact dermatitis: metabolic patterns by L.V. Konovalenko, V.I. Litus, Yu.I. Komisarenko, O.I. Litus

“…Conclusions. The proposed algorithm for the management of patients with AD and ACD OS who have metabolic syndrome and prediabetes is effective, as evidenced by the obtained data on glycemic indicators and lipid profiles in dynamics, as well as the results of the assessment on the EASI.…”
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Critical soil moisture detection and water–energy limit shift attribution using satellite-based water and carbon fluxes over China by Y. Liu, J. Xiao, X. Li, Y. Li

“…ET and GPP products were based on the Penman–Monteith–Leuning (PML) ET and GPP, Global LAnd Surface Satellite (GLASS) ET and GPP, Collocation-Analyzed Multi-source Ensembled Land Evapotranspiration (CAMELE) ET, Surface Energy Balance Algorithm for Land (SEBAL) ET, two-leaf light use efficiency (TL-LUE) GPP, and solar-induced chlorophyll fluorescence (SIF)-based (GOSIF) GPP. …”
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Ultrasound Imaging and Machine Learning to Detect Missing Hand Motions for Individuals Receiving Targeted Muscle Reinnervation for Nerve-Pain Prevention by Anna Rita E. Moukarzel, Justin Fitzgerald, Marcus Battraw, Clifford Pereira, Andrew Li, Paul Marasco, Wilsaan M. Joiner, Jonathon Schofield

“…Targeted muscle reinnervation (TMR) was initially developed as a technique for bionic prosthetic control but has since become a widely adopted strategy for managing pain and preventing neuroma formation after amputation. …”
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Extraction of Optimal Measurements for Drowsy Driving Detection considering Driver Fingerprinting Differences by Yifan Sun, Chaozhong Wu, Hui Zhang, Yijun Zhang, Shaopeng Li, Hongxia Feng

“…Secondly, the genetic algorithms were used to optimize fitness functions to obtain measured IDBCPs. …”
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Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…The experimental results show that the application of ensemble learning with the Decision Tree (DT), K-Nearest Neighbor (KNN), and Random Forest (RF) classification algorithms provides better model performance compared to using a single classification algorithm, with an accuracy of 95.2%, a precision value of 93.2%, a F1-score of 92.4%, and a True Negative Rate (TNR) of 97.6%. …”
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Geoinformation monitoring of the educational risk in educational institutions of higher education by Aleksandr N. Kolesenkov, Dmitry S. Zhuravlyov

“…The proposed model for assessing the educational risk in educational institutions will make a comprehensive evaluation of the processes, taking place in the divisions, since it takes into account pedagogical, economic and social aspects.The analysis of the components and functions of the educational risk was carried out. …”
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Towards quantitative assessment of cerebrovascular autoregulation in human neonates using ultrafast ultrasound imaging by Nikan Fakhari, Julien Aguet, Alison Howell, Minh Nguyen, Luc Mertens, Lynn Crawford, Maelys Venet, Christoph Haller, David Barron, John G. Sled, Jérôme Baranger, Olivier Villemain

“…This study aims to use UPD combined with an algorithm for the discrimination of arteries and veins to monitor CAR during DH-CPB in neonates. …”
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The Contribution of Meteosat Third Generation–Flexible Combined Imager (MTG-FCI) Observations to the Monitoring of Thermal Volcanic Activity: The Mount Etna (Italy) February–March... by Carolina Filizzola, Giuseppe Mazzeo, Francesco Marchese, Carla Pietrapertosa, Nicola Pergola

“…By analyzing changes in total SWIR radiance (TSR), calculated starting from hot pixels detected using the preliminary NHI algorithm configuration tailored to FCI data, we inferred information about variations in thermal volcanic activity. …”
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Driving behavior recognition and prediction based on Bayesian model by Xinsheng WANG, Zhen BIAN

“…Since the existing intelligent driving systems are lack of efficiency and accuracy when processing huge number of driving data,a brand new approach of processing driving data was developed to identify and predicate human driving behavior based on Bayesian model.The approach was proposed to take two steps to deduce the specific driving behavior from driving data correspondingly without any supervision,the first step being using Bayesian model segmentation algorithm to divide driving data that inertial sensor collected into near-linear segments with the help of Bayesian model segmentation algorithm,and the second step being using extended LDA model to aggregate those linear segments into specific driving behavior (such as braking,turning,acceleration and coasting).Both offline and online experiments are conducted to verify this approach and it turns out that approach has higher efficiency and recognition accuracy when dealing with numerous driving data.…”
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Frequent sgRNA-barcode recombination in single-cell perturbation assays. by Shiqi Xie, Anne Cooley, Daniel Armendariz, Pei Zhou, Gary C Hon

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