Nanophthalmos: An Update on the Biological Parameters and Fundus Abnormalities by Ning Yang, Liang-Liang Zhao, Jia Liu, Lin-Lin Ma, Jin-Song Zhao

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Effects of Aerodynamic Parameters on Performance of Galloping Piezoelectric Energy Harvester Based on Cross-Sectional Shape Evolutionary Approach by Xiaokang Yang, Bingke Xu, Zhendong Shang, Junying Tian, Haichao Cai, Xiangyi Hu

“…The critical wind speed, maximum output power, and the slope of the power versus wind speed curve are introduced as the performance evaluation parameters. The results show that the rear-side protruding feature and the top-side and bottom-side depressed feature have significant potential to enhance the performance. …”
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NUMERICAL MODELING OF CHARACTERISTICS AND PARAMETERS OF A NOISE RADAR SENSOR FOR EARTH’S SURFACE MAPPING by V. E. Kudryashov, K. A. Lukin, D. N. Tatyanko

“…The work presents numerical modeling results on the characteristics and parameters of a Noise Radar Sensor (NRS) during remote sensing of terrestrial surfaces. …”
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A novel geometric heart rate variability mapping method for enhanced bradycardia prediction in preterm infants by Mohammad Karimi Moridani, Soroor Behbahani

“…However, geometric features have drawbacks, especially for short-length signals and events. …”
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New Method for High Water Pressure Tunnel Design Based on Machine Learning for Smart Grid Energy Management and Groundwater Environmental Balance by Xiaoming You, Gongxing Yan, Zhengqiang Yang

“…The load-bearing capacity and damage of segmented structures under high water pressure features have always attracted attention. Based on a machine learning approach to smart grid energy management, this paper proposes a design method for high voltage tunnels in a balanced groundwater environment and tests the capacity of the high voltage tunnels. …”
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Prenatal influences on size, velocity and tempo of infant growth: findings from three contemporary cohorts. by Costanza Pizzi, Tim J Cole, Lorenzo Richiardi, Isabel dos-Santos-Silva, Camila Corvalan, Bianca De Stavola

“…<h4>Methods</h4>We studied the association between prenatal maternal characteristics (height, age, parity, education, pre-pregnancy body mass index (BMI), smoking, gestational diabetes and hypertension) and offspring weight trajectories in infancy using SuperImposition by Translation And Rotation (SITAR) models, which parameterize growth in terms of three biologically interpretable parameters: size, velocity and tempo. …”
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Improving the quality of payment fraud detection by using a combined approach of transaction analysis by Світлана Гавриленко, Олексій Абдуллін

“…Assessing the informative value of features within different types (subclasses) of fraudulent transactions allows us to evaluate which features have the greatest impact on the object’s belonging to a particular subclass. …”
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Optimal Statistical Feature Subset Selection for Bearing Fault Detection and Severity Estimation by Chhaya Grover, Neelam Turk

“…Two datasets are derived from a publicly available database of Case Western Reserve University to identify the capability of features in fault identification under various fault sizes and motor loads. Features have been investigated using a two-step approach—filter-based ranking with 3 metrics followed by feature subset selection with 11 search techniques. …”
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Effective Gait Abnormality Detection in Parkinson&#x2019;s Patients for Multi-Sensors Surveillance System by Abdulwahab Alazeb, Mouazma Batool, Naif Al Mudawi, Mohammed S. Alshehri, Sultan Almakdi, Nouf Abdullah Almujally, Asaad Algarni

“…The resulting features have been fused and classified using principle component analysis and a reweighted genetic algorithm. …”
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Rapid, Chemical-Free Generation of Optically Scattering Structures in Poly(ethylene terephthalate) Using a CO2 Laser for Lightweight and Flexible Photovoltaic Applications by Simon D. Hodgson, Alice R. Gillett

“…In addition to the optical properties, the surfaces have been characterised using optical microscopy and mapped with an optical profilometer. Key surface parameters that equate to the amount and structure of surface roughness and features have been analysed. …”
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GEOLOGICAL CONSEQUENCES OF AMORPHIZATION OF THE LITHOSPHERE AND UPPER MANTLE STRUCTURES CAUSED BY HYDROGEN DEGASSING by Iosif L. Gufeld

“…Formation of the geological medium boundaries and patterns is specific, but such specific features have not been fully considered yet. No consideration is given to the nature of periodic variations of various parameters of the geological medium from the surface to the depth of the upper mantle. …”
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A New Modelling and Feature Extraction Method Based on Complex Network and Its Application in Machine Fault Diagnosis by Qi Zhang, Tian Tian, Guangrui Wen, Zhifen Zhang

“…The average degree of subnetwork could be regarded as feature parameters for rolling bearing fault diagnosis and degradation state recognition. …”
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Increasing the Piezoactivity of Manufactured Composite Piezoceramic Transformers by Combining the Processes of Soldering and Polarization by Paerand Yurii, Zakhozhai Oleh

“…The existing connection features have been analysed for the elements of composite piezoceramic transformers and the results have shown that during soldering the piezoceramic elements are exposed to thermal shock leading to depolarization of piezoceramics and deterioration of its piezoelectric properties. …”
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Gigantic GIST: A Case of the Largest Gastrointestinal Stromal Tumor Found to Date by Abdalla Mohamed, Youssef Botros, Paul Hanna, Sang Lee, Walid Baddoura, Jamshed Zuberi, Tanuja Damani

“…In the year 2000, the first patient was treated with the tyrosine kinase inhibitor imatinib and since then, gastrointestinal stromal tumors with high-risk features have been treated successfully with tyrosine kinase inhibitors. …”
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Oral Squamous Cell Carcinoma Arising from Oral Submucous Fibrosis – A Comparative Retrospective Study with an Insight into the Pathogenesis by Suvarna Kizhakkoottu, Abilasha Ramasubramanian, Pratibha Ramani

“…Background: Oral squamous cell carcinoma (OSCC) with oral submucous fibrosis (OSMF) is one of the most prevalent clinical presentations in Southeast Asian nations and its pathological features have been a topic of interest. The aim of the present study is to analyze and compare the clinicopathological parameters of OSCC with OSMF with conventional OSCC and to suggest a possible pathogenic mechanism of OSCC with OSMF. …”
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Assessing of a Radiation Therapy Sessionʼs Duration at the Stage of Pre-Radiation Preparation by M. N. Piatkevich, E. V. Titovich

“…The magnitude and degree of the deviation of the measured value from the expected one for a variety of characteristics and features have been revealed to depend on the actions of the personnel.The program developed allows medical physicists to analyze the timing parameters of the specified dosimetric planning methodologies directly on the treatment planning workstation. …”
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Volunteering in the Political Discourse (Based on the Materials of Official Websites of the President of Russia and Parliamentary Parties) by O. V. Bakhlova, E. N. Makshaeva

“…Common and special features have been identified in the interpretation of the institute of volunteering by the head of state and political parties. …”
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Presenting a prediction model for HELLP syndrome through data mining by Boshra Farajollahi, Mohammadjavad Sayadi, Mostafa Langarizadeh, Ladan Ajori

“…In addition, this study demonstrated that biomarker features (among all features) have the most significant impact on the diagnosis of HELLP syndrome.…”
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Magnetic mineralogy in Barranca Tlalpan exposure paleosols, Tlaxcala, Mexico by Beatriz Ortega-Guerrero, Sergey Sedov, Elizabeth Solleiro-Rebolledo, Ana Soler

“…The Brown set of paleosols P5, P4 and P3, with few redoximorphic features, have coarser grains and lower concentrations of magnetic minerals. …”
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The Optimal Design of an Inclined Porous Plate Wave Absorber Using an Artificial Neural Network Model by Senthil Kumar Natarajan, Seokkyu Cho, Il-Hyoung Cho

“…The input features such as the inclined angle and plate length affect the performance of the wave absorber. These features have been optimized to minimize the averaged reflection coefficient and the installation space (spatial footprint) with the application of a trained ANN model. …”
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