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Self-Evaporation Dynamics of Quantum Droplets in a 41K-87Rb Mixture Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Chiara Fort; Michele Modugno
We theoretically investigate the self-evaporation dynamics of quantum droplets in a 41K-87Rb mixture, in free-space. The dynamical formation of the droplet and the effects related to the presence of three-body losses are analyzed by means of numerical simulations. We identify a regime of parameters allowing for the observation of the droplet self-evaporation in a feasible experimental setup.
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A Construction Method of Lower Limb Rehabilitation Robot with Remote Control System Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Mingda Miao; Xueshan Gao; Wei Zhu
In response to the rehabilitation needs of stroke patients who are unable to benefit from conventional rehabilitation due to the COVID-19 epidemic, this paper designs a robot that combines on-site and telerehabilitation. The objective is to assist the patient in walking. We design the electromechanical system with a gantry mechanism, body-weight support system, information feedback system, and man-machine
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Multiphysics Modeling, Sensitivity Analysis, and Optical Performance Optimization for Optical Laser Head in Additive Manufacturing Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Jiaping Yang; Xiling Yao; Yuxin Cai; Guijun Bi
Optical laser head is a key component used to shape the laser beam and to deliver higher power laser irradiation onto workpieces for material processing. A focused laser beam size and optical intensity need to be controlled to avoid decreasing beam quality and loss of intensity in laser material processing. This paper reports the multiphysics modeling of an in-house developed laser head for laser-aided
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Towards Improved Classification Accuracy on Highly Imbalanced Text Dataset Using Deep Neural Language Models Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Sarang Shaikh; Sher Muhammad Daudpota; Ali Shariq Imran; Zenun Kastrati
Data imbalance is a frequently occurring problem in classification tasks where the number of samples in one category exceeds the amount in others. Quite often, the minority class data is of great importance representing concepts of interest and is often challenging to obtain in real-life scenarios and applications. Imagine a customers’ dataset for bank loans-majority of the instances belong to non-defaulter
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Integrating Speculation Detection and Deep Learning to Extract Lung Cancer Diagnosis from Clinical Notes Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Oswaldo Solarte Pabón; Maria Torrente; Mariano Provencio; Alejandro Rodríguez-Gonzalez; Ernestina Menasalvas
Despite efforts to develop models for extracting medical concepts from clinical notes, there are still some challenges in particular to be able to relate concepts to dates. The high number of clinical notes written for each single patient, the use of negation, speculation, and different date formats cause ambiguity that has to be solved to reconstruct the patient’s natural history. In this paper, we
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Human-Centred Artificial Intelligence for Designing Accessible Cultural Heritage Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Galena Pisoni; Natalia Díaz-Rodríguez; Hannie Gijlers; Linda Tonolli
This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used
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The Use of Microalgae and Cyanobacteria in the Improvement of Agricultural Practices: A Review on Their Biofertilising, Biostimulating and Biopesticide Roles Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Ana L. Gonçalves
The increase in worldwide population observed in the last decades has contributed to an increased demand for food supplies, which can only be attained through an improvement in agricultural productivities. Moreover, agricultural practices should become more sustainable, as the use of chemically-based fertilisers, pesticides and growth stimulants can pose serious environmental problems and lead to the
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Retrospective Analysis of the Effect of Three-Dimensional Preformed Titanium Mesh on Peri-Implant Non-Contained Horizontal Defects in 100 Consecutive Cases Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 In-Oh Choi; Ji-Su Oh; Sang-Joun Yu; Byung-Ock Kim; Won-Pyo Lee
This study aimed to clinically and radiographically evaluate the results of guided bone regeneration (GBR) using three-dimensional preformed titanium mesh (3-D-PFTM) for non-contained horizontal defects in 100 consecutive cases. This study involved 100 patients (129 implants) with peri-implant non-contained horizontal defects. The patients were divided into three groups: 3-D-PFTM alone (Group 1), 3-D-PFTM
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Effects of Phase Shift Errors in Recurrence Plot for Rotating Machinery Fault Diagnosis Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Ignacio Torres-Contreras; Juan Carlos Jáuregui-Correa; Carlos Santiago López-Cajún; Salvador Echeverría-Villagómez
For fault diagnosis and predictive maintenance of rotating machinery, the phase errors generated by the integration processing of a vibration signal are an essential investigation subject. Phase errors affect the solution of mechanical systems with multiple vibration sources and also the information transmitted through the vibration that is used for fault diagnosis. This work proposes the use of phase
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Evaluation of Bioactive and Physicochemical Properties of White and Black Garlic (Allium sativum L.) from Conventional and Organic Cultivation Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Katarzyna Najman; Anna Sadowska; Ewelina Hallmann
The aim of this study was to evaluate the bioactive and physicochemical properties of white and black garlic (Allium sativum L.) from conventional and organic cultivation. Both white conventional (G) and organic (EG) garlic were processed during 45 days heat treatment at 70 °C temperature and 80% relative humidity. In black garlic (BG) samples the content of soluble solids, total reducing sugars, total
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Perceived Benefits of Energy Efficiency in the Spanish Residential Market and Their Relation to Sociodemographic and Living Conditions Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Eva Crespo Sánchez; Silvia Spairani Berrio; Belén Onecha Perez; Carlos Marmolejo-Duarte
Within the Energy Performance of Buildings Directive information symmetry regarding financial and environmental benefits, coming from real estate performance, is a key element in the promotion of efficient buildings. However, the link between energy efficiency and its perceived co-benefits is far from perfect in EU countries with a short trajectory in the promotion of such residential attributes, endangering
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Anthropometric Profiles in Table Tennis Players: Analysis of Sex, Age, and Ranking Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Francisco Pradas; Ana de la Torre; Luis Carrasco; Diego Muñoz; Javier Courel-Ibáñez; José Antonio González-Jurado
Table tennis has recently evolved towards a more spectacular sport increasing match-play demands and the intensity and speed of actions by regulations and equipment modification. Since these changes can alter the body composition and performance, this study aimed to analyze the differences in anthropometric attributes of 495 table tennis players (288 men, 207 women) according to sex, age, and ranking
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Design and Calibration of a Tri-Directional Contact Force Measurement System Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Rizwan Ahmed; Christian Maria Firrone; Stefano Zucca
In low pressure turbine stages, adjacent blades are coupled to each other at their tip by covers, called shrouds. Three-dimensional periodic contact forces at shrouds strongly affect the blade vibration level as energy is dissipated by friction. To validate contact models developed for the prediction of nonlinear forced response of shrouded blades, direct contact force measurement during dynamic tests
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Experimental Research on Foil Vibrations in a Gas Foil Bearing Carried Out Using an Ultra-High-Speed Camera Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Łukasz Breńkacz; Paweł Bagiński; Grzegorz Żywica
The foil bearing consists of parts made of very thin, properly shaped foils. Usually, it is very difficult or even impossible to measure the vibrations of these elements during the bearing operation using traditional sensors. Therefore, the authors of this article have proposed an entirely new approach to this issue. This article discusses the analysis of vibrations of the structural supporting layer
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Reveal of Internal, Early-Load Interfacial Debonding on Cement Textile-Reinforced Sandwich Insulated Panels Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Eleni Tsangouri; Hasan Ismail; Matthias De Munck; Dimitrios G. Aggelis; Tine Tysmans
Internal interfacial debonding (IID) phenomena on sandwich façade insulated panels are detected and tracked by acoustic emission (AE). The panels are made of a thin and lightweight cementitious composite skin. In the lab, the panels are tested under incremental bending simulating service loads (i.e., wind). Local (up to 150 mm wide) skin-core detachments are reported in the early loading stage (at
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Valence and Arousal-Infused Bi-Directional LSTM for Sentiment Analysis of Government Social Media Management Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Yu-Ya Cheng; Yan-Ming Chen; Wen-Chao Yeh; Yung-Chun Chang
Private entrepreneurs and government organizations widely adopt Facebook fan pages as an online social platform to communicate with the public. Posting on the platform to attract people’s comments and shares is an effective way to increase public engagement. Moreover, the comment functions allow users who have read the posts to express their thoughts. Hence, it also enables us to understand the users’
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Detection of Movement Intention for Operating Methods of Serious Games Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Jung-Hyun Park; Ho-Sang Moon; Hyunggun Kim; Sung-Taek Chung
In many post-stroke cases, patients show dysfunctions in movement, cognition, sense, and language, depending on the damaged area of the brain. Active and repetitive physical rehabilitation centered on the stroke-affected side is essential for effective and rapid neurological recovery of upper extremity dysfunction due to hemiplegia. A symmetric upper extremity trainer is utilized to assist the patient
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Wheat Germ Agglutinin—From Toxicity to Biomedical Applications Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Gabrielė Balčiūnaitė-Murzienė; Mindaugas Dzikaras
Wheat germ agglutinin is a hevein class N-Acetylglucosamine–binding protein with specific toxicity and biomedical potential. It is extractable from wheat germ—a low-value byproduct of the wheat industry—using well–established extraction methods based on salt precipitation and affinity chromatography. Due to its N-Acetylglucosamine affinity, wheat germ agglutinin exhibits antifungal properties as well
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Energy Management Optimization of a Dual Motor Lithium Ion Capacitors-Based Hybrid Super Sport Car Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Alessandro Franceschi; Nicolò Cavina; Riccardo Parenti; Maurizio Reggiani; Enrico Corti
Nowadays, hybrid electric vehicles represent one of the main solutions for the reduction of greenhouse gases in the automotive sector. Alongside the reduction of CO2, hybrid electric vehicles serve as a strong alternative on drivability and performance to conventional internal combustion engine-based vehicles. Vehicles exist with various missions; super sport cars usually aim to reach peak performance
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Static Response of Double-Layered Pipes via a Perturbation Approach Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Daniele Zulli; Arnaldo Casalotti; Angelo Luongo
A double-layered pipe under the effect of static transverse loads is considered here. The mechanical model, taken from the literature and constituted by a nonlinear beam-like structure, is constituted by an underlying Timoshenko beam, enriched with further kinematic descriptors which account for local effects, namely, ovalization of the cross-section, warping and possible relative sliding of the layers
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A Theoretical Method for Designing Thin Wobble Motor Using an Electromagnetic Force and an Electropermanent Magnet for Application in Portable Electric Equipment Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Sang Yong Park; Buchun Song; Yoon Su Baek
The thin wobble motors that are required to hold rating shafts employ an electropermanent magnet. This turns the holding force on and off by applying a momentary electrical pulse. To design the magnet devices without the need for finite element analyses, a theoretical force model is necessary for predicting the attractive force. In this paper, first, a force model is derived by estimating the permeance
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Fabrication and Optical Characterization of Polymeric Aspherical Microlens Array Using Hot Embossing Technology Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Yanlong Li; Kangsen Li; Feng Gong
Hot embossing has been widely used in fabricating microlens arrays because of its low cost, high efficiency, and high quality. The process parameters such as molding temperature, molding pressure, and holding temperature affect the microlens array’s replication quality. This work selected the stainless steel S136H tool steel as the mold material to process an aspheric microlens array structure through
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Effect of Dry–Wet Cycle Periods on Properties of Concrete under Sulfate Attack Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Jin-Jun Guo; Peng-Qiang Liu; Cun-Liang Wu; Kun Wang
Dry–wet cycle conditions have significant effects on the corrosion of concrete under sulfate attack. However, previous studies have only applied them as a method for accelerating sulfate attack and not systematically studied them as an object. In order to explore the impact of sulfate attack with different dry–wet cycle periods on concrete, in this study, four dry–wet cycle periods (3, 7, 14, and 21
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The Moderating Role of IT in Process of Shaping Organizational Performance by Dynamic Capabilities of Controlling Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Agnieszka Bieńkowska; Katarzyna Tworek
IT solutions have a significant role in supporting controlling processes, as well as in shaping the performance of organization as a whole. The aim of this article is to examine the impact of controlling dynamic capabilities on organizational performance through quality of controlling and verify the role of IT support for the obtainment of benefits for the organization as a whole. The empirical verification
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An Unbalance Optimization Method for a Multi-Stage Rotor Based on an Assembly Error Propagation Model Appl. Sci. (IF 2.474) Pub Date : 2021-01-19 Yue Chen; Jiwen Cui; Xun Sun
For the assembly of a multi-stage rotor, such as an aero-engine or gas turbine, the parts need to be assembled optimally to avoid excessive unbalance. We propose a method to optimize the unbalance of a multi-stage rotor during assembly. First, we developed an assembly error propagation model for a multi-stage rotor. The alignment process and distribution of the screw holes of the adjacent rotors was
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Path Tracking Control of an Omni-Directional Service Robot Based on Model Predictive Control of Adaptive Neural-Fuzzy Inference System Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Fenglin Pang; Minzhou Luo; Xiaobin Xu; Zhiying Tan
In this paper, model predictive control (MPC) based on an adaptive neural-fuzzy inference system (ANFIS) is proposed to realize control of an omni-directional service robot in path tracking. The weight of the cost function in a traditional MPC needs to be manually adjusted, and it is difficult to adjust to a satisfactory value. In order to improve the performance and the control accuracy of MPC, a
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Additive Manufacturing in Industry Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Roberto Citarella; Venanzio Giannella
The advent of additive manufacturing (AM) processes applied to the fabrication of structural components has created the need for design methodologies and structural optimization approaches that take into account the specific characteristics of the fabrication process. While AM processes give unprecedented geometrical design freedom, which can result in significant reductions in the components’ weight
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Meta-Analysis and Systematic Review of the Application of Machine Learning Classifiers in Biomedical Applications of Infrared Thermography Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Carolina Magalhaes; Joaquim Mendes; Ricardo Vardasca
Atypical body temperature values can be an indication of abnormal physiological processes associated with several health conditions. Infrared thermal (IRT) imaging is an innocuous imaging modality capable of capturing the natural thermal radiation emitted by the skin surface, which is connected to physiology-related pathological states. The implementation of artificial intelligence (AI) methods for
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Evaluation of the Seismic Retrofitting of Mainshock-Damaged Reinforced Concrete Frame Structure Using Steel Braces with Soft Steel Dampers Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Fujian Yang; Guoxin Wang; Mingxin Li
Most reinforced concrete (RC) frames would exhibit different degrees of damage after mainshock excitations, and these mainshock-damaged RC (MD-RC) frames are highly vulnerable to severe damage or even complete collapse under aftershock excitations. In the present study, the effectiveness of utilizing soft steel damper (SSD) as a passive energy dissipation device for seismic retrofitting of MD-RC frame
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Multibyte Electromagnetic Analysis Based on Particle Swarm Optimization Algorithm Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Shaofei Sun; Hongxin Zhang; Xiaotong Cui; Liang Dong; Muhammad Saad Khan; Xing Fang
This paper focuses on electromagnetic information security in communication systems. Classical correlation electromagnetic analysis (CEMA) is known as a powerful way to recover the cryptographic algorithm’s key. In the classical method, only one byte of the key is used while the other bytes are considered as noise, which not only reduces the efficiency but also is a waste of information. In order to
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Robust Resolution-Enhanced Prostate Segmentation in Magnetic Resonance and Ultrasound Images through Convolutional Neural Networks Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Oscar J. Pellicer-Valero; Victor Gonzalez-Perez; Juan Luis Casanova Ramón-Borja; Isabel Martín García; María Barrios Benito; Paula Pelechano Gómez; José Rubio-Briones; María José Rupérez; José D. Martín-Guerrero
Prostate segmentations are required for an ever-increasing number of medical applications, such as image-based lesion detection, fusion-guided biopsy and focal therapies. However, obtaining accurate segmentations is laborious, requires expertise and, even then, the inter-observer variability remains high. In this paper, a robust, accurate and generalizable model for Magnetic Resonance (MR) and three-dimensional
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An Improved Collaborative Filtering Recommendation Algorithm Based on Retroactive Inhibition Theory Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Nihong Yang; Lei Chen; Yuyu Yuan
Collaborative filtering (CF) is the most classical and widely used recommendation algorithm, which is mainly used to predict user preferences by mining the user’s historical data. CF algorithms can be divided into two main categories: user-based CF and item-based CF, which recommend items based on rating information from similar user profiles (user-based) or recommend items based on the similarity
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Effects of High-Impact Weight-Bearing Exercise on Bone Mineral Density and Bone Metabolism in Middle-Aged Premenopausal Women: A Randomized Controlled Trial Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Sung-Woo Kim; Myong-Won Seo; Hyun-Chul Jung; Jong-Kook Song
This study examined the effects of high-impact weight-bearing exercise on bone mineral density (BMD) and bone metabolic markers in middle-aged premenopausal women. Forty middle-aged premenopausal women were initially enrolled, but thirty-one participants (40.34 ± 3.69 years) completed in the study. The subjects were randomly divided into two groups including the high-impact weight-bearing exercise
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Experimental Study of Thermal Comfort Based on Driver Physiological Signals in Cooling Mode under Summer Conditions Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Yunchan Shin; Jeonggyun Ham; Honghyun Cho
In this study, electroencephalogram (EEG), photo-plethysmography (PPG), and surface temperature measurements of subjects were taken while performing a driving simulation when the cabin and vent discharge air temperature in summer were changed from discomfort to comfort conditions. Additionally, subjective questionnaires were used to analyze the subject’s thermal comfort under the various driving environments
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Finding Optimal Stations Using Euclidean Distance and Adjustable Surrounding Sphere Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Athita Onuean; Hanmin Jung; Krisana Chinnasarn
Air quality monitoring network (AQMN) plays an important role in air pollution management. However, setting up an initial network in a city often lacks necessary information such as historical pollution and geographical data, which makes it challenging to establish an effective network. Meanwhile, cities with an existing one do not adequately represent spatial coverage of air pollution issues or face
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Fabrication and Biodegradability of Starch Cell-Plastics as Recyclable Resources Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Akihito Nakanishi; Kohei Iritani; Yuri Sakihama; Marina Watanabe; Ayano Mochiduki; Akane Tsuruta; Syunta Sakamoto; Ayami Ota
Recently, cell-plastics, which are composed of unicellular green algal cells and biodegradable compounds as ingredients and fillers, have been suggested as carbon-recyclable materials instead of petroleum-based plastics. In this study, cell-plastics, fabricated with Chlamydomonas reinhardtii as an ingredient and a mixture of two types of starches (raw and oxidized starches) as a filler, were successfully
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Deep-Learning-Based Pupil Center Detection and Tracking Technology for Visible-Light Wearable Gaze Tracking Devices Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Wei-Liang Ou; Tzu-Ling Kuo; Chin-Chieh Chang; Chih-Peng Fan
In this study, for the application of visible-light wearable eye trackers, a pupil tracking methodology based on deep-learning technology is developed. By applying deep-learning object detection technology based on the You Only Look Once (YOLO) model, the proposed pupil tracking method can effectively estimate and predict the center of the pupil in the visible-light mode. By using the developed YOLOv3-tiny-based
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An Adaptive Optimization Method Based on Learning Rate Schedule for Neural Networks Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Dokkyun Yi; Sangmin Ji; Jieun Park
Artificial intelligence (AI) is achieved by optimizing the cost function constructed from learning data. Changing the parameters in the cost function is an AI learning process (or AI learning for convenience). If AI learning is well performed, then the value of the cost function is the global minimum. In order to obtain the well-learned AI learning, the parameter should be no change in the value of
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Study on the Method of Moving Load Identification Based on Strain Influence Line Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Jing Yang; Peng Hou; Caiqian Yang; Yang Zhang
In order to improve the accuracy of load identification and study the influence of transverse distribution, a novel method was proposed for the moving load identification based on strain influence line and the load transverse distribution under consideration. The load identification theory based on strain influence line was derived, and the strain integral coefficient was proposed for the identification
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Mechanical Strength Characterization of Plastic Fiber Reinforced Cement Concrete Composites Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Sivakumar Anandan; Majed Alsubih
The reinforcing efficiency of plastic fibers obtained from shredded plastic waste was tested in plain concrete mixes and experimentally verified in this study. Plastic fibers up to 0.15% Vf were added to the design concrete mix to assess the fiber effectiveness in terms of improved load carrying capability of various plastic fiber incorporated concrete composites. The effects of plastic fibers distributed
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Buckling Test of Composite Cylindrical Shells with Large Radius Thickness Ratio Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Atsushi Takano; Ryuta Kitamura; Takuma Masai; Jingxuan Bao
A buckling test of composite cylindrical shells with a radius–thickness ratio (r/t) = 893 under axial compression was conducted to investigate the effects of the radius–thickness ratio (r/t). It is known that the buckling load of cylinders shows large differences and scatter between theory and experiment. The ratio of the experimental buckling load and theoretical buckling load is called the knockdown
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Renewable Energy Powered Membrane Technology: Electrical Energy Storage Options for a Photovoltaic-Powered Brackish Water Desalination System Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Sheying Li; Ana P. S. G. de Carvalho; Andrea I. Schäfer; Bryce S. Richards
The potential for lithium-ion (Li-ion) batteries and supercapacitors (SCs) to overcome long-term (one day) and short-term (a few minutes) solar irradiance fluctuations with high-temporal-resolution (one s) on a photovoltaic-powered reverse osmosis membrane (PV-membrane) system was investigated. Experiments were conducted using synthetic brackish water (5-g/L sodium chloride) with varied battery capacities
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Marginal and Internal Fit of Ceramic Prostheses Fabricated from Different Chairside CAD/CAM Systems: An in Vitro Study Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Keunbada Son; Kyu-Bok Lee
The purpose of this in vitro study was to evaluate marginal and internal fits of ceramic crowns fabricated with chairside computer-aided design and manufacturing (CAD/CAM) systems. An experimental model based on ISO 12836:2015 was digitally scanned with different intraoral scanners (Omnicam (CEREC), EZIS PO (DDS), and CS3500 (Carestream)). Ceramic crowns were fabricated using the CAD/CAM process recommended
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Are Suprapectineal Quadrilateral Surface Buttressing Plates Performances Superior to Traditional Fixation? A Finite Element Analysis Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Mara Terzini; Andrea Di Pietro; Alessandro Aprato; Stefano Artiaco; Alessandro Massè; Cristina Bignardi
Acetabular fractures have a high impact on patient’s quality of life, and because acetabular fractures are high energy injuries, they often co-occur with other pathologies such as damage to cartilage that could increase related morbidity; thus, it appears of primary importance developing reliable treatments for this disease. This work aims at the evaluation of the biomechanical performances of non-conservative
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Automated Parking Space Allocation during Transition with both Human-Operated and Autonomous Vehicles Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Mingkang Wu; Haobin Jiang; Chin-An Tan
As fully automated valet parking systems are being developed, there is a transition period during which both human-operated vehicles (HVs) and autonomous vehicles (AVs) are present in the same parking infrastructure. This paper addresses the problem of allocation of a parking space to an AV without conflicting with the parking space chosen by the driver of a HV. A comprehensive assessment of the key
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An Improved Seismic Vulnerability Assessment Approach for Historical Urban Centres: The Case Study of Campi Alto di Norcia, Italy Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Federico Romis; Silvia Caprili; Walter Salvatore; Tiago M. Ferreira; Paulo B. Lourenço
Seismic damage assessment is an extraordinary opportunity to evaluate the reliability of vulnerability and risk methodologies applied to historic masonry buildings, giving the possibility of enhancing and optimising mitigation and retrofit strategies. Vulnerability index methodologies are flexible and powerful tools for assessing seismic vulnerability on the urban scale, providing a first screening
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Separation of Two-Dimensional Mixed Circular Fringe Patterns Based on Spectral Projection Property in Fractional Fourier Transform Domain Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Hsuan-Ting Chang; Tzu-Yao Lin; Chih-Hao Chuang; Chien-Yu Chen; Chian C. Ho; Chuan-Yu Chang
In this paper, a method for automatically separating the mixed circular fringe patterns based on the fractional Fourier transform (FrFT) analysis is proposed. Considering the mixed two-dimensional (2-D) Gaussian-based circular fringe patterns, detected by using an image sensor, we propose a method that can efficiently determine the number and parameters of each separated fringe patterns by using the
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Active Clamp Boost Converter with Blanking Time Tuning Considered Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Yeu-Torng Yau; Kuo-Ing Hwu; Yu-Kun Tai
An active clamp boost converter with blanking time auto-tuned is presented herein, and this is implemented by an additional auxiliary switch, an additional resonant inductor, and an additional active clamp capacitor as compared with the conventional boost converter. In this structure, both the main and auxiliary switches have zero voltage switching (ZVS) turn-on as well as the output diode has zero
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Functional Characterization of Marigold Powder as a Food Ingredient for Lutein-Fortified Fresh Noodles Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Seungkyun Nam; Chan-Yang Lee; Soon-Mi Shim; Dong-Un Lee; Suyong Lee
Marigold powder was utilized as a food ingredient to produce lutein-fortified fresh noodles for eye health, and its functionalities were characterized in terms of thermo-rheological, structural, and antioxidant properties. The pasting parameters and starch-gelatinization enthalpy values of wheat flour had a tendency to decrease with increasing levels of marigold powder. The use of marigold powder led
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The Effects of 3D and 2D Imaging on Brain Wave Activity in Laparoscopic Training Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Hung-Jen Chen; Chiuhsiang Joe Lin; Po-Hung Lin; Zong-Han Guo
The current study tested the effects of a state-of-the-art stereoscopic three-dimensional (3D) display and a traditional two-dimensional (2D) display on performance and mental workload during simulated laparoscopic tasks with different levels of depth perception over a longer duration than in previous publications. Two different simulated laparoscopic tasks with depth perception, peg transfer, and
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The Effect of Taper and Apical Diameter on the Cyclic Fatigue Resistance of Rotary Endodontic Files Using an Experimental Electronic Device Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Vicente Faus-Llácer; Nirmine Hamoud Kharrat; Celia Ruiz-Sánchez; Ignacio Faus-Matoses; Álvaro Zubizarreta-Macho; Vicente Faus-Matoses
The aim of this study was to analyze the effect of the taper and apical diameter of nickel–titanium (NiTi) endodontic rotary files on the dynamic cyclic fatigue resistance. A total of 50 unused conventional NiTi wire alloy endodontic rotary instruments were used in this study. All NiTi endodontic rotary files were submitted to a custom-made dynamic cyclic fatigue device until fracture occurred. The
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POP-ON: Prediction of Process Using One-Way Language Model Based on NLP Approach Appl. Sci. (IF 2.474) Pub Date : 2021-01-18 Junhyung Moon; Gyuyoung Park; Jongpil Jeong
In business process management, the monitoring service is an important element that can prevent various problems in advance from before they occur in companies and industries. Execution log is created in an information system that is aware of the enterprise process, which helps predict the process. The ultimate goal of the proposed method is to predict the process following the running process instance
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A Cloud Game-Based Educative Platform Architecture: The CyberScratch Project Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Llanos Tobarra; Alejandro Utrilla; Antonio Robles-Gómez; Rafael Pastor-Vargas; Roberto Hernández
The employment of modern technologies is widespread in our society, so the inclusion of practical activities for education has become essential and useful at the same time. These activities are more noticeable in Engineering, in areas such as cybersecurity, data science, artificial intelligence, etc. Additionally, these activities acquire even more relevance with a distance education methodology, as
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Educational Warehouse: Modular, Private and Secure Cloudable Architecture System for Educational Data Storage, Analysis and Access Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Daniel Amo; Pablo Gómez; Luis Hernández-Ibáñez; David Fonseca
Data in the educational context are becoming increasingly important in decision-making and teaching-learning processes. Similar to the industrial context, educational institutions are adopting data-processing technologies at all levels. To achieve representative results, the processes of extraction, transformation and uploading of educational data should be ubiquitous because, without useful data,
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Generalizability of Deep Learning System for the Pathologic Diagnosis of Various Cancers Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Hyun-Jong Jang; In Hye Song; Sung Hak Lee
The deep learning (DL)-based approaches in tumor pathology help to overcome the limitations of subjective visual examination from pathologists and improve diagnostic accuracy and objectivity. However, it is unclear how a DL system trained to discriminate normal/tumor tissues in a specific cancer could perform on other tumor types. Herein, we cross-validated the DL-based normal/tumor classifiers separately
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Geostatistical Analysis of the Spatial Correlation between Territorial Anthropization and Flooding Vulnerability: Application to the DANA Phenomenon in a Mediterranean Watershed Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Salvador Garcia-Ayllon; John Radke
Climate change is making intense DANA (depresión aislada en niveles altos) type rains a more frequent phenomenon in Mediterranean basins. This trend, combined with the transformation of the territory derived from diffuse anthropization processes, has created an explosive cocktail for many coastal towns due to flooding events. To evaluate this problem and the impact of its main guiding parameters, a
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Coal Fly Ash–Clay Based Geopolymer-Incorporating Electric Arc Furnace Dust (EAFD): Leaching Behavior and Geochemical Modeling Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Eva Cifrian; Juan Dacuba; Tamara Llano; María del Carmen Díaz-Fernández; Ana Andrés
The recent recovery processes of electric arc furnace dust (EAFD) include stabilization within materials with potential uses in the construction sector. The stabilization of EAFD by alkaline activation of different alumina-silicates, resulting in low-cost and environmentally friendly materials. The leaching standards within the different European regulations allow evaluating waste materials and products
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Emerging Information Technologies for Next Generation Communications and Networks Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Byung-Seo Kim
Note: In lieu of an abstract, this is an excerpt from the first page. Our lives can be said to be in an era with information and communication devices, and we are pursuing a hyperconnected society with advanced information and communication devices [...]
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Chromatographic Characterization and In Vitro Bioactivity Evaluation of Lactobacillus helveticus Hydrolysates upon Fermentation of Different Substrates Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Federica Ianni; Alessandra Anna Altomare; Beniamino T. Cenci-Goga; Francesca Blasi; Luca Grispoldi; Luca Regazzoni; Lina Cossignani
Among various food sources, milk proteins remain the major vector for functional peptides endowed with several biological activities. Particularly, the proteolytic activity of lactic acid bacteria during milk fermentation has been one of the most followed strategies to produce bioactive peptides. In the present study, the exploration of the activity of several starter cultures, at different fermentation
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Numerical and Experimental Studies of the Attenuation Characteristics of Friction Torque in a Wet Multidisc Clutch Appl. Sci. (IF 2.474) Pub Date : 2021-01-16 Man Chen; Bin Zhang; Yuqing Feng; Liang Wang; He Wang
A numerical model is proposed to calculate both the contact pressure and the friction torque (FT) of the friction components considering the spline friction in a wet multidisc clutch, which is verified by the bench test. The results indicate that the spline friction of components is an important factor causing the axial attenuation of contact pressure on friction pairs. As the applied pressure increases
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