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Design of Additional Dissipative Structures for Seismic Retrofitting of Existing Buildings Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Alessandro Vittorio Bergami
This paper presents an innovative approach for improving the seismic protection of existing structures by introducing an additional dissipative structure (ADS). The seismic energy impacting the building can be dissipated through the contribution provided by the ADS, thereby reducing the need for the existing building to ensure its seismic capacity. This retrofitting technique is well-suited for structures
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Mechanics and Stability of Force Chain Arch in Excavated Granular Material Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Meimei Wang, Jianwei Zheng, Shanshan Xue
Rock and soil masses in geotechnical engineering projects, such as tunnels, mines and slopes, undergo relative motion, exhibiting mechanical characteristics of solid–fluid transition under critical conditions. This work analyzes the characteristics of the solid–fluid transition interface and the mode of load transfer through biaxial compression particle flow photoelastic experiments on granular materials
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A Comprehensive Study on the Antibacterial Activities of Carbon Quantum Dots Derived from Orange Juice against Escherichia coli Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Minh Hoa Nguyen, Anh Thi Le, Van Duong Pham, Hong Minh Pham, Hoang Tung Do, Duc Toan Le, Thi Bich Vu, Thanh Binh Nguyen
Carbon quantum dots (CQDs) are known for their intriguing optical properties, low toxicity, and high biocompatibility, which make them promising for biomedical applications. In this study, CQDs were synthesized by subjecting orange juice to microplasma as a carbon source at atmospheric pressure and low temperatures. The resulting CQDs exhibited a narrow size distribution, with an average diameter of
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Y-Rank: A Multi-Feature-Based Keyphrase Extraction Method for Short Text Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Qiang Liu, Yan Hui, Shangdong Liu, Yimu Ji
Keyphrase extraction is a critical task in text information retrieval, which traditionally employs both supervised and unsupervised approaches. Supervised methods generally rely on large corpora, which introduce the problems of availability, while unsupervised methods are independent of out-sources but also lead to defects like imperfect statistical features or low accuracy. Particularly in short-text
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Peak Acceleration Distribution on the Surface of Reef Islands under the Action of Vertical Ground Motion Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Liguo Jin, Liting Du, Zhenghua Zhou, Xin Bao
This paper adopts the fluid–structure coupling algorithm based on the acoustic fluid element, the fluid dynamic artificial boundary, and the consistent viscoelastic artificial boundary of solid media to establish a finite element model of the dynamic interaction of the reef-island–seawater system. Then, a numerical simulation of the seismic response of the reef-island site is carried out to study the
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Evolution Characteristics of the Strength and Dilation Parameters of Gas Hydrate-Bearing Sediments and a Modeling Study Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Jincai Yu, Cheng Cheng, Jintao Yang
Gas hydrate has gradually become a new potential energy resource. However, some engineering and environmental problems related to the mechanical properties of gas hydrate-bearing sediments (GHBS) during gas recovery may occur. Many studies have been carried out on the basic mechanical properties of GHBS samples based on laboratory tests, but their evolution characteristics and suitable models require
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Insights into the Chemistry and Functional Properties of Edible Mushrooms Cropped in the Northeastern Highlands of Puebla, Mexico Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Yesenia Pacheco-Hernández, Edmundo Lozoya-Gloria, Clemente Mosso-González, Jenaro Leocadio Varela-Caselis, Nemesio Villa-Ruano
Herein, we present an integrative investigation of the nutritional and nutraceutical potential of Lactarius indigo, Clitocybe nuda, Clitocybe subclavipes, Russula delica, Russula brevipes, Clitocybe squamulosa, and Amanita jacksonii, which are edible mushrooms consumed in the northeastern highlands of Puebla, Mexico. The content of protein oscillated from 4.8 to 10.9 g 100 g−1 fresh weight (FW) whereas
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Stable Heteroclinic Channel-Based Movement Primitives: Tuning Trajectories Using Saddle Parameters Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Natasha Rouse, Kathryn Daltorio
Dynamic systems which underlie controlled systems are expected to increase in complexity as robots, devices, and connected networks become more intelligent. While classical stable systems converge to a stable point (a sink), another type of stability is to consider a stable path rather than a single point. Such stable paths can be made of saddle points that draw in trajectories from certain regions
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High-Sensitivity Polarization Sensitive Optical Coherence Tomography Based on Numerical Correction for Perfect Circularly Polarized Light Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Sifan Li, Lantian Hu, Jing Cao
Polarization sensitive optical coherence tomography (PSOCT) makes use of the birefringence information of the sample to compensate for the lack of internal tissue-specific contrast in conventional optical coherence tomography (OCT). Circularly polarized light is always used as an incident beam in PSOCT, but it is difficult to have perfect in practice. The manual calibration method of circularly polarized
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Dynamic Deflection Measurement on Stiff Bridges with High Piers by Preloaded Spring Method Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Yelu Wang, Yongjun Zhou, Xin Jiang, Yu Zhao, Huantao Zhang
The deflection dynamic load allowance (DLA) of stiff bridges with high piers requires sub-millimeter accuracy. New technologies such as the vision-based optical method and GNSS are not yet recognized for use in DLA measurements due to their smaller SNR. Presently, the scaffolding method is widely utilized for dynamic deflection measurements in dynamic load tests owing to the reliability of employing
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Crack Detection of Concrete Based on Improved CenterNet Model Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Huaiqiang Kang, Fengjun Zhou, Shen Gao, Qizhi Xu
Cracks on concrete surfaces are vital factors affecting construction safety. Accurate and efficient crack detection can prevent safety-related accidents. Using drones to photograph cracks on a concrete surface and detect them through computer vision technology has the advantages of accurate target recognition, simple practical operation, and low cost. To solve this problem, an improved CenterNet concrete
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Virtual Production: Real-Time Rendering Pipelines for Indie Studios and the Potential in Different Scenarios Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Daniel Silva Jasaui, Ana Martí-Testón, Adolfo Muñoz, Flavio Moriniello, J. Ernesto Solanes, Luis Gracia
This work aims to identify and propose a functional pipeline for indie live-action films using Virtual Production with photorealistic real-time rendering game engines. The new production landscape is radically changing how movies and shows are made. Those were made in a linear pipeline, and now filmmakers can execute multiple tasks in a parallel mode using real-time renderers with high potential for
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Design and Numerical Study of Induction-Heating Graphitization Furnace Based on Graphene Coils Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Rui Li, Yuanyuan Zhang, Xiaodong Chu, Lin Gan, Jia Li, Baohua Li, Hongda Du
Induction-heating graphitization furnaces are widely used to produce high-purity graphite products due to their high heating rate, high-limit temperatures, safety, cleanliness, and precise control. However, the existing induction-heating systems based on copper coils have limited energy efficiency. This paper proposes a new induction-heating graphitization furnace based on graphene coils. Due to the
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Potential Applications of Yeast Biomass Derived from Small-Scale Breweries Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Marcin Łukaszewicz, Przemysław Leszczyński, Sławomir Jan Jabłoński, Joanna Kawa-Rygielska
Yeast biomass, a brewery by-product of the world’s substantial alcohol beverage industry, finds successful applications in the fodder industry and food additive production. This is attributed to its rich nutritional profile that comprises high protein and vitamin content. Nonetheless, in small-scale breweries, yeast slurries present a significant challenge, as the quantities obtained are insufficient
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Numerical Investigation of the R-Curve Effect in Delamination of Composite Materials Using Cohesive Elements Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Antonio Raimondo
This paper presents a numerical investigation of the R-curve effect in delamination propagation in composite materials. The R-curve effect refers to the phenomenon whereby resistance to crack propagation increases with the advancement of the delamination, due to toughening mechanisms, such as fiber bridging. Numerical models often neglect this effect assuming a constant value of the fracture toughness
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Study on Water Inrush Characteristics of Hard Rock Tunnel Crossing Heterogeneous Faults Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Guoxu Xin, Bo Wang, Haozhang Zheng, Linfeng Zeng, Xinxin Yang
Fault water inflow is one of the most severe disasters that can occur during the construction of hard and brittle rock tunnels. These tunnels traverse brittle fault breccia zones comprising two key components: a damage zone dominated by low-strain fractures and an internally nested high-strain zone known as the fault core. Structural heterogeneity influences the mechanical and hydraulic properties
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Experimental Investigation on the Effect of Water Cooling on a Dry Twin-Screw Air Compressor for Proton Exchange Membrane Fuel Cells Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Mingkun Liu, Chuang Wang, Yanpeng Li, Yuchen Li, Lixin Liu, Ziwen Xing
Due to the lack of oil injection cooling, it is usually necessary for dry twin-screw compressors to design cooling jackets to carry away the heat generated during operation. In order to investigate to what extent a cooling jacket can improve the performance of screw compressors, this study set up an experimental platform for a dry twin-screw compressor applied in fuel cell vehicles and used water as
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Trajectory Tracking Control of Remotely Operated Vehicles via a Fast-Sliding Mode Controller with a Fixed-Time Disturbance Observer Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Huadong Zhou, Xiangyang Mu
Time-varying nonlinear external disturbances, as well as uncertainties in model and hydrodynamic parameters, make remotely operated vehicles (ROVs) trajectory tracking control complex and difficult. To solve this problem, this paper proposes a fast sliding mode controller with a fixed-time disturbance observer (FSMC-FDO), which consists of a sliding mode controller based on a fast reaching law and
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The Influence of Copper Oxide Particle Size on the Properties of Epoxy Resin Appl. Sci. (IF 2.838) Pub Date : 2024-03-17 Patrycja Bazan, Michał Gajda, Przemysław Nosal, Agnieszka Bąk, Kinga Setlak, Michał Łach
This study examines the relationship between the size of copper particles and the properties of epoxy resin. Epoxy resin is a type of thermosetting resin commonly used as a matrix in polymer matrix composite materials reinforced with glass or carbon fibers. As part of this study, three microscale and two nanoscale composite samples modified with copper oxide particles of varying sizes were produced
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Phenolic Profiles and Antitumor Activity against Colorectal Cancer Cells of Seeds from Selected Ribes Taxa Appl. Sci. (IF 2.838) Pub Date : 2024-03-13 Svetlana Lyashenko, Rosalía López-Ruiz, Ana Minerva García-Cervantes, Ignacio Rodríguez-García, Svetlana Yunusova, José Luis Guil-Guerrero
Seeds from several Ribes taxa were surveyed for phenolic compounds and in vitro antiproliferative activity against HT-29 colorectal cancer cells. Total phenolic compounds were analyzed through the Folin–Ciocalteu procedure, while LC coupled to a single mass spectrometer (MS) Orbitrap using an electrospray interface (ESI) was performed to determine the phenolic profiles. Antitumor effects were established
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Game Theory-Based Interactive Control for Human–Machine Cooperative Driving Appl. Sci. (IF 2.838) Pub Date : 2024-03-14 Yangyang Zhou, Chao Huang, Peng Hang
To address the safety and efficient driving issues of human–machine shared control vehicles (HSCVs) in future complex traffic environments, this paper proposes a game theory-based interactive control method between HSCVs and surrounding autonomous vehicles (SVs) and involves considering different driving behaviors. In HSCV, a comprehensive driver model integrating steering control and speed control
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Characteristics and Release Risk of Phosphorus from Sediments in a Karst Canyon Reservoir, China Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Liu-Ying Yang, Shu-Lin Jiao, Lei Wang, Yin-Jiu Li, Mei Yang, Ye-Lin Feng, Juan Li, Zong-Xiao Wei
With the continuous improvement of surface water environmental quality in China, sediment has gradually become the focus of research on internal pollution in reservoirs. To investigate the forms, distribution, and migration patterns of phosphorus in karst canyon reservoir sediments, we employed an improved sequential graded extraction method to determine phosphorus content in the sediments of the Wanfeng
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BIZON–UGV for Airport Pavement Testing: Mechanics and Control Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Marcin Chodnicki, Mirosław Nowakowski, Paweł Pietruszewski, Mariusz Wesołowski, Sławomir Stępień
The paper presents a study of the performance and development of unmanned ground vehicles (UGVs), establishing mathematical and numerical models of the chassis system. The model analysis is performed by 3D software package SolidWorks 2018 with finite element discretization. The mesh modelling and analysis are focused on studying the strength and stiffness of the robotic platform chassis and the distribution
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Evaluation of Bruising Susceptibility and Response of Pears under Impact Loading through Finite Element Analysis Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Muhammad Hafizh, Asma Mecheter, Faris Tarlochan, Pankaj B. Pathare
Mechanical damage and bruising of fruit is a critical problem in the food industry. Minimizing brusing and damage can be achieved by designing energy-absorbing structures and packaging systems in order to ensure the long-term quality of fresh produce. The aim of this study is to investigate the response and bruise susceptibility of pears under impact loading conditions through finite element analysis
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Extending UWOC System Applications through Photon Transmission Dynamics Study in Harbor Waters Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Chang Chang, Xiaotian Han, Guangying Li, Peng Li, Wenchao Nie, Peixuan Liao, Cong Li, Wei Wang, Xiaoping Xie
Underwater wireless optical communication (UWOC) in harbor waters can facilitate real-time monitoring underwater instruments for environmental monitoring, underwater inspection, and maintenance tasks. This study delves into the complex dynamics of UWOC in four distinct harbor waters. The research employs Monte Carlo method incorporated with Fournier–Forand scattering phase function for simulating photon
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Analysis of Chainsaw Emissions during Chestnut Wood Operations and Their Health Implications Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Paola D’Antonio, Francesco Toscano, Nicola Moretti, Nicolino De Iorio, Costanza Fiorentino
In Italy, the use of chainsaws for field operations such as Felling (FE), Delimbing (DE), and Bucking (BU) is widespread due to the topography, the medium–small size of farms, and the predominant presence of broad-leaved forests managed through coppicing. However, this has led to an increase in injuries and illnesses due to exposure to physical factors (e.g., noise, dust, and vibrations) and chemical
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Leveraging Large Language Models for Sensor Data Retrieval Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Alberto Berenguer, Adriana Morejón, David Tomás, Jose-Norberto Mazón
The growing significance of sensor data in the development of information technology services finds obstacles due to disparate data presentations and non-adherence to FAIR principles. This paper introduces a novel approach for sensor data gathering and retrieval. The proposal leverages large language models to convert sensor data into FAIR-compliant formats and to provide word embedding representations
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Dynamic Flow and Heat Transfer Characteristics of Uncracked Hydrocarbon Fuel under Super-Critical Pressure in the Cooling Channel of a Regeneratively Cooled Scramjet Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Qing Xu, Guowei Lin, Haowei Li, Yaoxun Feng
Regeneratively cooled scramjets are successfully used as propulsion devices in hypersonic vehicles. During operation, scramjets experience acceleration. This special process causes a dynamic flow process, and heat transfer in the cooling channel commonly occurs, which may cause hazards and control difficulties for scramjets. A dynamic numerical model with a modified heat transfer coefficient calculation
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An Experimental Study and Numerical Simulation Analysis of Thermal Oxidation Characteristics Based on Kinetic Parameters in Heavy Oil Reservoirs Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Chang Fang, Chao Wang, Haoran Zheng, Peng Liu, Wen Guo, Yajing Chen, Houfeng He, Pengcheng Liu
In situ combustion (ISC), an efficient and economical method for enhancing heavy oil recovery in high-pressure, high-viscosity, and thermally challenged reservoirs, relies on the kinetics of crude oil oxidation. Despite an increased focus on kinetic models, there is a gap in understanding how oxidation kinetic parameters impact ISC effectiveness in heavy oil reservoirs. This study addresses this by
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Perceived Air Quality, Thermal Comfort and Health: A Survey of Social Housing Residents in Kazakhstan Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Mainur Kurmanbekova, Jiangtao Du, Stephen Sharples
Kazakhstan is in Central Asia and is the ninth-largest country in the world. Some socially vulnerable segments of the Kazakh population residing in subsidised social housing have experienced a range of problems due to the low quality of housing construction and its planning. Poor indoor environmental conditions in social housing contribute to occupants’ comfort, health, and general well-being. This
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Use of Total Least Squares Adjustment in Geodetic Applications Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Aleš Marjetič, Tomaž Ambrožič, Simona Savšek
This article discusses the method of computing the values of the unknowns under the condition of the minimum sum of the squares of the residuals of the observations, also known as the least squares method, with the additional condition of taking into account the errors in the unknowns. The problem has already been treated by many authors, especially in the field of regression analysis and the computation
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Performance Analysis of the Particle Swarm Optimization Algorithm in a VLC System for Localization in Hospital Environments Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Diego Alonso Candia, Pablo Palacios Játiva, Cesar Azurdia Meza, Iván Sánchez, Muhammad Ijaz
Localization in hospitals can be valuable in improving different services in medical environments. In this sense, an accurate location system in this environment requires adequately enabling communication technology. However, widely adopted technologies such as Wireless Fidelity (WiFi), Bluetooth, and Radio Frequency Identification (RFID) are considered poorly suited to enable hospital localization
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The Sequence Stratigraphy and Sedimentary Evolution of the Guantao Formation in the Binxian Uplift Area, Bohai Bay Basin, China Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Qing Li, Xuelian You, Yu He, Yuan Zhou, Renzhi Tang, Jiangshan Li
Due to the influence of multiple tectonic movements in rift basins, the sequence and sedimentary filling modes of continental petroleum reservoirs are complex, which makes it difficult to establish isochronous stratigraphic frameworks and thus affects the accuracy of subsequent predictions of effective sand bodies. Taking the Guantao Formation of the Binxian uplift and the surrounding areas as an example
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The Influence of Various Commonly Used Building Materials on the Shielding Effectiveness, Reflection and Absorption of the Electromagnetic Wave Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Marek Pavlík, Matej Bereš, Ľubomír Beňa
People spend two-thirds of their time in buildings. Building materials are, therefore, natural shielding for us. Many studies describe the shielding effect of non-building materials. This study evaluates the shielding effectiveness (SE) of electromagnetic fields for various building materials over a frequency range of 1 GHz to 9 GHz. Measurements of SE, reflection (R), and calculated absorption (A)
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Multiple DC Modulation Coordination Strategies Based on Transient Energy Function and Deep Deterministic Policy Gradient Algorithm Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Chao Xing, Mingqun Liu, Junzhen Peng, Xueke Wang, Yuhong Wang, Zongsheng Zheng, Shilin Gao, Jianquan Liao
Ultra-low-frequency oscillation (ULFO) is a new problem of frequency stability in asynchronous network back-end power networks. The negative damping provided by hydropower units is the direct cause of ultra-low-frequency oscillation, and DC modulation is an effective means of suppressing system frequency oscillation. Based on the transient energy function and the limitation of DC modulation, this paper
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Predicting Student Performance in Online Learning: A Multidimensional Time-Series Data Analysis Approach Appl. Sci. (IF 2.838) Pub Date : 2024-03-16 Zhaoyu Shou, Mingquan Xie, Jianwen Mo, Huibing Zhang
As an emerging teaching method, online learning is becoming increasingly popular among learners. However, one of the major drawbacks of this learning style is the lack of effective communication and feedback, which can lead to a higher risk of students failing or dropping out. In response to this challenge, this paper proposes a student performance prediction model based on multidimensional time-series
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Critically Leveraging Theory for Optimal Control of Quadrotor Unmanned Aircraft Systems Appl. Sci. (IF 2.838) Pub Date : 2024-03-13 Duc-Anh Pham, Seung-Hun Han
In the dynamic realm of Unmanned Aerial Vehicles (UAVs), and, more specifically, Quadrotor drones, this study heralds a ground-breaking integrated optimal control methodology that synergizes a distributed framework, predictive control, H-infinity control techniques, and the incorporation of a Kalman filter for enhanced noise reduction. This cutting-edge strategy is ingeniously formulated to bolster
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Investigating Semantic Differences in User-Generated Content by Cross-Domain Sentiment Analysis Means Appl. Sci. (IF 2.838) Pub Date : 2024-03-13 Traian-Radu Ploscă, Christian-Daniel Curiac, Daniel-Ioan Curiac
Sentiment analysis of domain-specific short messages (DSSMs) raises challenges due to their peculiar nature, which can often include field-specific terminology, jargon, and abbreviations. In this paper, we investigate the distinctive characteristics of user-generated content across multiple domains, with DSSMs serving as the central point. With cross-domain models on the rise, we examine the capability
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Distributed Generation Cluster Division Method Considering Frequency Regulation Response Speed Appl. Sci. (IF 2.838) Pub Date : 2024-03-13 Yan Xu, Peng Hu, Fengyang Zhang, Tao Zhou
With the large-scale integration of distributed generation (DG), it is difficult to realize distribution network planning and operation under specific requirements using the traditional cluster division method based on a single criterion. To reduce the complexity of frequency regulation control strategies, this paper proposes a cluster division method that synthesizes structural and functional indexes
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A Performance Prediction Method Utilizing Time-Dependent Subsystem Transfers between Family Systems Appl. Sci. (IF 2.838) Pub Date : 2024-03-14 Wei Cai, Zhuofang Li, Ming Zhu, Rui Guo, Jianwei Wang, Jingyi Zhao
Based on cluster system theory and the Markov process, a performance prediction method utilizing time-dependent subsystem transfers between family systems is proposed in this paper. The family system is divided via the mean clustering method, with the key performance parameters of subsystems utilized as identification parameters. According to the transition quantity of subsystems in the family systems
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Investigation of Disc Cutter Wear in Tunnel-Boring Machines (TBMs): Integration of Photogrammetry, Measurement with a Caliper, Weighing, and Macroscopic Visual Inspection Appl. Sci. (IF 2.838) Pub Date : 2024-03-14 Blaž Janc, Goran Vižintin, Andrej Pal
During the construction of tunnels using tunnel-boring machines (TBMs), the wear of disc cutters is an unavoidable process. The timely replacement of worn disc cutters can have a positive effect on construction time and therefore on costs. The wear of disc cutters can be assessed using various measurement methods. The aim of this article is to show different methods of measuring and evaluating the
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Effects of Fuel Cell Size and Dynamic Limitations on the Durability and Efficiency of Fuel Cell Hybrid Electric Vehicles under Driving Conditions Appl. Sci. (IF 2.838) Pub Date : 2024-03-14 Wen Sun, Meijing Li, Guoliang Su, Guoxiang Li, Hao Cheng, Ke Sun, Shuzhan Bai
In order to enhance the durability of fuel cell systems in fuel cell hybrid electric vehicles (FCHEVs), researchers have been dedicated to studying the degradation monitoring models of fuel cells under driving conditions. To predict the actual degradation factors and lifespan of fuel cell systems, a semi-empirical and semi-physical degradation model suitable for automotive was proposed and developed
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Estimation of Chemical Compounds in Selected Italian and French Wines Produced through Organic and Conventional Methods Appl. Sci. (IF 2.838) Pub Date : 2024-03-14 Alicja Ponder, Maciej Frąckowiak, Marcin Kruk, Ewelina Hallmann
In this study, Italian and French wines produced through organic and conventional methods were analyzed. Three different varieties of wines were examined, including Cabernet Sauvignon, Merlot, and Syrah. Individual compounds were quantitatively and qualitatively analyzed to measure their levels of organic acids and polyphenols, such as phenolic acids, flavonoids, and anthocyanins, as well as their
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Left–Right Multimodal Morphometric Comparison of Human Submandibular Glands Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Bojan V. Stimec, Dejan Ignjatovic
This communication study integrates composite multimodal research on postmortem human submandibular glands, based on macromorphometry. The normal ductographic sialograms were pairwise analyzed using linear morphometry, whole-gland planimetry and fractal properties, such as main duct length, caliber and tortuosities, side branches and accessory ducts/lobes. All the examined parameters presented a significant
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Coaxial Fibres Incorporated with Phase Change Materials for Thermoregulation Applications Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Nathalia Hammes, Claver Pinheiro, Iran Rocha Segundo, Natália Cândido Homem, M. M. Silva, Helena P. Felgueiras, Graça M. B. Soares, Elisabete Freitas, Manuel F. M. Costa, Joaquim Alexandre O. Carneiro
Nowadays, the growing concern about improving thermal comfort in different structures (textiles, buildings, and pavements, among others) has stimulated research into phase change materials (PCMs). The direct incorporation of PCMs into composite materials can cause mechanical impacts. Therefore, this study focuses on the design of phase change coaxial fibres (PCFs), using commercial cellulose acetate
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SSTrack: An Object Tracking Algorithm Based on Spatial Scale Attention Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Qi Mu, Zuohui He, Xueqian Wang, Zhanli Li
The traditional Siamese object tracking algorithm uses a convolutional neural network as the backbone and has achieved good results in improving tracking precision. However, due to the lack of global information and the use of spatial and scale information, the accuracy and speed of such tracking algorithms still need to be improved in complex environments such as rapid motion and illumination variation
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A Toolchain for Automated Control and Simulation of Robot Teams in Carbon-Fiber-Reinforced Polymers Production Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Marian Körber, Roland Glück
This paper introduces, as a proof of concept, a tool chain for automated control and simulation of a robot team in the domain of production of carbon-fiber-reinforced polymers. The starting point is a CAD construction of a simple aviation component from which single cut pieces of carbon fiber, together withtheir properties, are extracted. Using this information and the layout of a given robot cell
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A Wavelet Extraction Method of Attenuation Media for Direct Acoustic Impedance Inversion in Depth Domain Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Chengyu Sun, Ruiqian Cai, Zhen’an Yao
The seismic image produced by pre-stack depth migration is more accurate and has clearer geological significance than the time image. However, the waveform of the depth-domain seismic image is affected not only by depth-dependent velocity variation but also by media attenuation, resulting in strong spectral variation of depth-domain seismic data. Therefore, depth-domain seismic inversion is still challenging
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Enhancing Reliability in Wind Turbine Power Curve Estimation Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Pere Marti-Puig, Jose Ángel Hernández, Jordi Solé-Casals, Moises Serra-Serra
Accurate power curve modeling is essential to continuously evaluate the performance of a wind turbine (WT). In this work, we characterize the wind power curves using SCADA data acquired at a frequency of 5 min in a wind farm (WF) consisting of five WTs. Regarding the non-parametric methods, we select artificial neural networks (ANNs) to make curve estimations. Given that, we have the curves provided
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Comprehensive Analysis of the Acute Toxicity of Ionic Liquids Using Microtox® Bioassays Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Juan José Parajó, Antía Santiago-Alonso, Pablo Vallet, Tamara Teijeira, Raquel San Emeterio, María Villanueva, Josefa Salgado
The ecotoxicity of a set of 30 ionic liquids, namely 23 aprotic compounds (APILs) and 7 protic compounds (PILs), was analyzed in this work by monitoring the inhibition of the bioluminescence of the bacteria Aliivibrio fischeri with varying concentrations of ILs utilizing the Microtox® standard toxicity test. The study covered ILs that have various synthetic natures, PILs and APILs, with a common anion
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Lessons Learned from Investigating Robotics-Based, Human-like Testing of an Upper-Body Exoskeleton Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Marc Kilian Klankers, Adrian Rudloff, Pouya Mohammadi, Niclas Hoffmann, Seyed Milad Mir Latifi, Ramazan Gökay, Rajal Nagwekar, Robert Weidner, Jochen J. Steil
Assistive devices like exoskeletons undergo extensive testing not least because of their close interaction with humans. Conducting user studies is a time-consuming process that demands expert knowledge, and it is accompanied by challenges such as low repeatability and a potential lack of comparability between studies. Obtaining objective feedback on the exoskeleton’s performance is crucial for developers
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Enhancing the Protein, Mineral Content, and Bioactivity of Wheat Bread through the Utilisation of Microalgal Biomass: A Comparative Study of Chlorella vulgaris, Phaeodactylum tricornutum, and Tetraselmis chuii Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Nancy Mahmoud, Joana Ferreira, Anabela Raymundo, Maria Cristiana Nunes
At present, the incorporation of microalgae into bread and related cereal products has attracted attention due to their potential for enhancing nutritional profiles and their impact on health. In this study, 4% of Chlorella vulgaris, Phaeodactylum tricornutum, and Tetraselmis chuii were added into wheat flour to produce bread and assesses their impact on the dough rheology behaviour, quality performance
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The Effect of Type and Duration of Digestive Enzyme Treatment on Coffee Bean Composition Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Paulina Pakosz, Rafał Wołosiak, Beata Drużyńska, Ewa Majewska
During kopi luwak production, coffee fruit is subjected to enzymatic and microbial treatment. While microbial modification of coffee fruit or beans is often investigated, there is little information regarding the influence of the enzymatic part of the process. In this study, green Arabica and Robusta beans were modified using basic animal digestive enzymes (pepsin or trypsin with α-amylase) and various
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Advancements in EEG Emotion Recognition: Leveraging Multi-Modal Database Integration Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Ahmed Roshdy, Abdullah Karar, Samer Al Kork, Taha Beyrouthy, Amine Nait-ali
This paper addresses the limitations of relying solely on facial expressions for emotion recognition by proposing an advanced approach that emphasizes continuous monitoring of electroencephalography (EEG) signals. Recognizing the potential for deception in facial expressions, our study leverages the growing interest in EEG signals, tapping into advancements in deep learning and machine learning. By
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Shear Wave Velocity Prediction Based on the Long Short-Term Memory Network with Attention Mechanism Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Xingan Fu, Youhua Wei, Yun Su, Haixia Hu
Shear wave velocity (VS) is a vital prerequisite for rock geophysics. However, due to historical, cost, and technical reasons, the shear wave velocity of some wells is missing. To reduce the deviation of the description of underground oil and gas distribution, it is urgent to develop a high-precision neural network prediction method. In this paper, an attention module is designed to automatically calculate
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Water and Wastewater Management in Agriculture Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Wojciech Janczukowicz, Joanna Rodziewicz
The growing world population requires highly efficient food production methods [...]
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Smart Contract-Based Right-of-Way Trade with Game Theory in Blockchain-Enabled Internet of Vehicles Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Cheng Li, Hao Wu, Yunlong Lu, Lei Xiong, Chen Dong, Jing Li
The Internet of Vehicles (IoV) has a significant impact on improving traffic efficiency and driving safety. In this paper, we propose an intelligent transportation credit system based on blockchain, and design a crossroad passing smart contract that allows time-sensitive convoys to pass a crossroad earlier by paying traffic tokens for right-of-way trade. Second, this paper formulates the time–cost
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Electrically Equivalent Head Tissue Materials for Electroencephalogram Study on Head Surrogates Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Richie Ranaisa Daru, Monjur Morshed Rabby, Tina Ko, Yukti Shinglot, Rassel Raihan, Ashfaq Adnan
With the recent advent of smart wearable sensors for monitoring brain activities in real-time, the scopes for using Electroencephalograms (EEGs) and Magnetoencephalography (MEG) in mobile and dynamic environments have become more relevant. However, their application in dynamic and open environments, typical of mobile wearable use, poses challenges. Presently, there is limited clinical data on using
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Visualization Program Design for Complex Piping Systems in Marine Engine Simulation Systems Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Xiaoyu Wu, Zhibin He, Zhenghao Wei, Qi Zhang, Zhibo Fan
This study is dedicated to the development of an advanced ship piping network programming tool to address the challenges faced by traditional text-based design and computation methods when dealing with complex and large-data-volume piping systems, such as burdensome programming tasks, high error rates, and difficulty in troubleshooting faults. Leveraging Microsoft’s WPF technology and the C# language
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Causal Reinforcement Learning for Knowledge Graph Reasoning Appl. Sci. (IF 2.838) Pub Date : 2024-03-15 Dezhi Li, Yunjun Lu, Jianping Wu, Wenlu Zhou, Guangjun Zeng
Knowledge graph reasoning can deduce new facts and relationships, which is an important research direction of knowledge graphs. Most of the existing methods are based on end-to-end reasoning which cannot effectively use the knowledge graph, so consequently the performance of the method still needs to be improved. Therefore, we combine causal inference with reinforcement learning and propose a new framework