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Optimization and comparison of ℽ-aminobutyric acid (GABA) production by LAB in soymilk using RSM and ANN models Beni-Suef Univ. J. Basic Appl. Sci. Pub Date : 2021-02-26 Bhargavi Rayavarapu; Padmavathi Tallapragada; Usha MS
ℽ-Aminobutyric acid (GABA) is a non-proteinaceous amino acid. In the mammalian nervous system, GABA functions as an inhibitory neurotransmitter. The present study focused on screening and optimization of ℽ-aminobutyric acid (GABA) yield by lactic acid bacteria by using soymilk as basal media. Lactobacillus fermentum (Lb. fermentum) was isolated from sourdough. The qualitative confirmation of GABA production
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Directionality of thermal gradients in lithium-ion batteries dictates diverging degradation modes Cell Rep. Phys. Sci. Pub Date : 2021-02-26 Rachel Carter; Todd A. Kingston; Robert W. Atkinson; Mukul Parmananda; Matthieu Dubarry; Conner Fear; Partha P. Mukherjee; Corey T. Love
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Achieving high current density for electrocatalytic reduction of CO2 to formate on bismuth-based catalysts Cell Rep. Phys. Sci. Pub Date : 2021-02-26 Tingting Fan; Wenchao Ma; Mingcan Xie; Huan Liu; Jiguang Zhang; Shuangli Yang; Pingping Huang; Yunyun Dong; Zhou Chen; Xiaodong Yi
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Nonlinear Vibration Analysis of Viscoelastic Smart Sandwich Plates Through the use of Fractional Derivative Zener Model Int. J. Struct. Stab. Dyn. (IF 2.015) Pub Date : 2021-02-24 Hamid Reza Talebi Amanieh; Seyed Alireza Seyed Roknizadeh; Arash Reza
In this paper, the nonlinear vibrational behavior of a sandwich plate with embedded viscoelastic material is studied through the use of constitutive equations with fractional derivatives. The studied sandwich structure is consisted of a viscoelastic core that is located between the faces of functionally graded magneto-electro-elastic (FG-MEE). In order to determine the frequency-dependent feature of
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Analysis of the Bi-Stable Hybrid Laminate under Thermal Load Int. J. Struct. Stab. Dyn. (IF 2.015) Pub Date : 2021-02-24 M. Fazli; M. H. Sadr; H. Ghashochi-Bargh
Adaptive structures have the ability to modify their shapes in different operational conditions. Multi-stable structures are one of the methods of making adaptive structures. In the bi-stable square laminates, due to geometric symmetry and equality of strain energy between stable states, it is possible to continue actuating between stable states, specially when using dynamic or thermal load. The bi-stability
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A data-driven approach to anomaly detection and vulnerability dynamic analysis for large-scale integrated energy systems Energy Convers. Manag. (IF 8.208) Pub Date : 2021-02-26 Li Zhang; Huai Su; Enrico Zio; Zhien Zhang; Lixun Chi; Lin Fan; Jing Zhou; Jinjun Zhang
In an integrated energy system (IES), the operating state of each energy subsystem changes relatively frequently, which can seriously threaten the security of IES operation. A systematic data-driven approach is proposed for detecting anomalies and analyzing the dynamics of IES vulnerability. Firstly, an anomaly detection method is introduced to determine whether there are anomalies in the system operation
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Deep learning for both broadband prediction of the radiated emission from heatsinks and heatsink optimization Eng. Sci. Technol. Int. J. (IF 3.219) Pub Date : 2021-02-26 Ibrahim Bahadir Basyigit; Abdullah Genc; Habib Dogan; Fatih Ahmet Senel; Selcuk Helhel
Heatsinks have quasi-antenna behavior in many cases and cause interference both at the system level and at the PCB design level. Therefore, determination or prediction of both resonance frequencies and maximum radiated emission are crucial at any design step. In this paper, as a novelty, in 2–8 GHz band, a model based on deep learning is developed to predict resonance frequencies in parallel plate-fin
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Optimal participation of a virtual power plant in electricity market considering renewable energy: A deep learning-based approach Sustain. Energy Grids Netw. (IF 2.532) Pub Date : 2021-02-08 Saleh Sadeghi Gougheri; Hamidreza Jahangir; Mahsa A. Golkar; Ali Ahmadian; Masoud Aliakbar Golkar
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Solving power systems optimization problems in the presence of renewable energy sources using modified exchange market algorithm Sustain. Energy Grids Netw. (IF 2.532) Pub Date : 2021-02-11 Hossein Nourianfar; Hamdi Abdi
This paper introduces a novel evolutionary algorithm namely modified exchange market algorithm (MEMA) to solve the various problems in the power system operation topics such as combined heat and power economic emission dispatch (CHPEED), and multi-area economic dispatch (MAED) in the presence of renewable energy sources (RESs). The MEMA is a new version of the EMA that has been modified to improve
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An interactive multi-criteria decision-making framework between a renewable power plant planner and the independent system operator Sustain. Energy Grids Netw. (IF 2.532) Pub Date : 2021-02-18 Salman Soltaniyan; Mohammad Reza Salehizadeh; Akın Taşcıkaraoğlu; Ozan Erdinç; João P.S. Catalão
Providing efficient support mechanisms for renewable energy promotion has drawn much attention from researchers in the recent years. The connection of a new renewable power plant to the transmission system has impacts on different electricity market indices since the other strategic generation units change their behaviour in the new multi-agent environment. In this paper, as the main contribution to
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An intelligent algorithm for autorecognition of power system faults using superlets Sustain. Energy Grids Netw. (IF 2.532) Pub Date : 2021-02-16 Pullabhatla Srikanth; Chiranjib Koley
A time–frequency resolution technique based recognition of power system faults is proposed in the present work. Superlet transformation, a modified and super-resolution form of the wavelet transform, has been used to recognize the type of power system faults occurring in an interconnected power system. The Superlets were tested for sample power system disturbances and found advantageous. An IEEE-9
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Impact of electric vehicles charging demand on distribution transformers in an office area and determination of flexibility potential Sustain. Energy Grids Netw. (IF 2.532) Pub Date : 2021-02-26 M.A. van den Berg; I. Lampropoulos; T.A. AlSkaif
Electric vehicles (EVs) have a high potential in reducing greenhouse gas emissions and are able to achieve other advantages such as a reduction in local air pollution and increasing energy security. As a result, EVs are rapidly increasing in popularity, electrifying the transportation sector. This poses a serious problem for the grid as existing distribution grids were mainly sized in the pre-EV era
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Colorectal cancer detection by immunofluorescence images of circulating tumor cells Ain Shams Eng. J. (IF 1.949) Pub Date : 2021-02-26 Hsien-I Lin; Ying-Chih Chang
Manual detection of ColoRectal Cancers (CRC) is subject to bias and time-consuming. To be objective and efficient, this study proposes a semiautomated method to predict CRC based on the number of Circulating Tumor Cells (CTCs). To count CTCs, this method uses SVM to find possible CTCs using features such as cell size, the ratio of the image area of the nucleus to that of the cytoplasm, and the color
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Heat transport and bio-convective nanomaterial flow of Walter's-B fluid containing gyrotactic microorganisms Ain Shams Eng. J. (IF 1.949) Pub Date : 2021-02-26 Yu-Ming Chu; Mujeeb ur Rahman; M. Ijaz Khan; Seifedine Kadry; Wasif Ur Rehman; Zahra Abdelmalek
This research work highlight the newly developed concept of Rosseland approximation and gyrotactic microorganisms in steady, two-dimensional, incompressible flow of Walter's-B nanofluid (non-Newtonian) over a stretchable surface of sheet. Buongiorno nanofluid model, which represents seven important slip mechanisms (i.e., Brownian motion, inertia, Magnus impact, thermophoresis, diffusion-phoresis, gravity
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Hybrid system for iron and manganese reduction from polluted water using adsorption and filtration Ain Shams Eng. J. (IF 1.949) Pub Date : 2021-02-26 M. Arafat; Samir Y. Marzouk; O.D. El Monayeri
The high levels of iron and manganese found in ground water and utilized by living habitats has made it mandatory to seek a local low cost effective technique to decrease their concentrations. In this study, vermiculite clay and cation exchange resin were used as adsorbent and filter media to examine their ability in the removal and retention of those soluble metal. Different initial concentrations
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Optimal fractional-order PI with DC-DC converter and PV system Ain Shams Eng. J. (IF 1.949) Pub Date : 2021-02-26 Ahmed T. Mohamed; Mahmoud F. Mahmoud; R.A. Swief; Lobna A. Said; Ahmed G. Radwan
This paper presents a design and analysis for the PV system with a DC-DC boost converter controlled by the Fractional Order PI controller (FOPI). The study includes obtaining the optimal parameters for the PV model and the operating parameters for the FOPI controller. The first part’s objective function is to search a five-parameter model based on the data-sheet given by commercial PV modules for a
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An efficient botnet detection with the enhanced support vector neural network Measurement (IF 3.364) Pub Date : 2021-02-09 S. Jagadeesan; B. Amutha
As the botnet makes the way for many illegal activities, it is considered as the most critical threats to cybersecurity. Although many detection models have been presented by the researchers, they couldn’t detect the botnets in an early stage. So to overcome this issue, an enhanced support vector neural network (ESVNN) is presented as the detection model in this paper. For enhancing the classification
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Multiscale feature extraction from the perspective of graph for hob fault diagnosis using spectral graph wavelet transform combined with improved random forest Measurement (IF 3.364) Pub Date : 2021-02-20 Xin Dong; Guolong Li; Yachao Jia; Kai Xu
The hob forms key component in gear hobbing machine and its health condition directly affects the reliability and safety of entire machine. This paper proposes a multiscale feature extraction scheme based on spectral graph wavelet transform combined with improved random forest, forming a novel hob fault diagnosis technique and realizing multi-scale analysis of vibration signals from the perspective
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Measurement of static forces up to 50 N using piezo ceramics PZK 850 Measurement (IF 3.364) Pub Date : 2021-02-13 J. Volf; V. Novák; J. Stebila; P. Kvasnová; V. Ryženko; D. Novák
The article deals with a piezoelectric force sensor, that bases on the use of piezo ceramics PZK 850. These types of sensors were used due to characteristic of the piezo-material (i.e. crystal) particularly for dynamic force measurement only. The developed sensor is suitable to measure static forces up to 50 N; the principle of the measurement of static forces bases on the crystal vibration being damped
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On-machine measurement method for the geometric error of shafts with a large ratio of length to diameter Measurement (IF 3.364) Pub Date : 2021-02-21 Yunlong Liu; Guochao Li; Honggen Zhou; Zhancheng Xie; Feng Feng; Wen Ge
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Thermoelastic effect in modal shapes at high frequencies using infrared thermography Measurement (IF 3.364) Pub Date : 2021-02-16 Ángel J. Molina-Viedma; Luis Felipe-Sesé; Elías López-Alba; Francisco A. Díaz
Infrared thermography is employed by different methodologies and techniques to perform characterisations and evaluations in solids, typically related to fracture mechanics and damage, based on monitoring heat generation or temperature changes. In this study, the limits of the current technology for Thermoelastic Stress Analysis (TSA), usually employed under low-frequency loads, are explored to characterise
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Deformation behavior monitoring of a tunnel in its temporary shoring demolishing process using optical fiber sensing technology Measurement (IF 3.364) Pub Date : 2021-02-13 Zi-xiang Li; Gong-yu Hou; Tao Hu; Tian-ci Zhou; Hai-lin Xiao
For tunnels with large cross-sections, demolition of the temporary shoring of the tunnel can pose a very serious threat to the safety of the structure; Therefore it is very important to ascertain the deformation behavior of the tunnel in this stage. In this study, a tunnel settlement inversion model, based on the strain measurements of distributed optical fiber, has been proposed and the feasibility
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An online transfer learning-based remaining useful life prediction method of ball bearings Measurement (IF 3.364) Pub Date : 2021-02-26 Fuchuan Zeng; Yiming Li; Yuhang Jiang; Guiqiu Song
In recent years, many artificial intelligence - based approaches are proposed for remaining useful life (RUL) prediction of bearings. However, most existing studies neglected the following problems: (1) Run-to-failure data of bearings of are generally less available; (2) Degradation trends of bearings under different working conditions are diverse; (3) Unlabeled data of bearings acquired in the online
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Combination Bidirectional Long Short-Term Memory and Capsule Network for Rotating Machinery Fault Diagnosis Measurement (IF 3.364) Pub Date : 2021-02-26 Tian Han; Ruiyi Ma; Jigui Zheng
For the application of deep learning in the field of fault diagnosis, its recognition accuracy is limited by the size and quality of the training samples, such as small size samples, low signal-to-noise ratio and different working conditions. In order to solve above problems, one novel method for fault classification is proposed based on a Bidirectional Long Short-Term Memory (Bi-LSTM) and a Capsule
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Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes Measurement (IF 3.364) Pub Date : 2021-02-26 Nang - Ho Xuan; Tien-Thinh Le
This study investigates the performance and robustness of regression machine-learning models in the presence of variability in the experimental database. The main objective of this work is to predict the ultimate load of circular concrete-filled steel tubes. The simulations were designed by combining size of the learning dataset, random realizations and prediction models. The variability (i.e. probability
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How to build a quantum internet Nature (IF 42.778) Pub Date : 2021-02-26 Dan Fox; Davide Castelvecchi
Specialised quantum computers could pave the way for a new type of internet
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Coronapod: Google-backed database could help answer big COVID questions Nature (IF 42.778) Pub Date : 2021-02-26 Benjamin Thompson; Noah Baker; Amy Maxmen
Hear the latest science from the coronavirus pandemic.
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Intestinal worms throw open the door to dangerous viruses Nature (IF 42.778) Pub Date : 2021-02-26
With its effect on the gut lining, a parasite aids another infectious agent.
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The first known space hurricane pours electron ‘rain’ Nature (IF 42.778) Pub Date : 2021-02-26
Earth’s upper atmosphere cooks up a storm.
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SARS-CoV-2 spike D614G change enhances replication and transmission Nature (IF 42.778) Pub Date : 2021-02-26 Bin Zhou; Tran Thi Nhu Thao; Donata Hoffmann; Adriano Taddeo; Nadine Ebert; Fabien Labroussaa; Anne Pohlmann; Jacqueline King; Silvio Steiner; Jenna N. Kelly; Jasmine Portmann; Nico Joel Halwe; Lorenz Ulrich; Bettina Salome Trüeb; Xiaoyu Fan; Bernd Hoffmann; Li Wang; Lisa Thomann; Xudong Lin; Hanspeter Stalder; Berta Pozzi; Simone de Brot; Nannan Jiang; Dan Cui; Jaber Hossain; Malania Wilson; Matthew
During the evolution of SARS-CoV-2 in humans a D614G substitution in the spike (S) protein emerged and became the predominant circulating variant (S-614G) of the COVID-19 pandemic1. However, whether the increasing prevalence of the S-614G variant represents a fitness advantage that improves replication and/or transmission in humans or is merely due to founder effects remains elusive. Here, we generated
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Good vibrations make a soft gel strong Nature (IF 42.778) Pub Date : 2021-02-26
Inside a composite structure, mechanical energy is transformed into an electron flow that powers a chemical reaction.
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Plan to create UK version of DARPA lacks detail, say researchers Nature (IF 42.778) Pub Date : 2021-02-26 Holly Else
The process of setting up a funding agency for high-risk research in the United Kingdom is under way. But questions remain about how it will benefit science.
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Major physics society won’t meet in cities with racist policing record Nature (IF 42.778) Pub Date : 2021-02-26 Nidhi Subbaraman
The American Physical Society’s new criteria for conference venues seem to be unique among scientific societies.
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Can COVID spread from frozen wildlife? Scientists probe pandemic origins Nature (IF 42.778) Pub Date : 2021-02-26 Dyani Lewis
Studies from China suggest that the coronavirus can be transmitted on frozen surfaces — but scientists say that’s unlikely to be how the pandemic started.
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Liar lyre: male lyrebirds try to get more sex with frightening falsehoods Nature (IF 42.778) Pub Date : 2021-02-25
The male’s misleading alarm calls could help to keep the female in his embrace.
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Breaking the binary by coming out as a trans scientist Nature (IF 42.778) Pub Date : 2021-02-25 Robin Aguilar
Institutions need experts in racial justice and queer liberation to shoulder the burden of advocating for scientists from under-represented groups, says Robin Aguilar.
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Distributed assembly permutation flow-shop scheduling problem with sequence-dependent set-up times using a novel biogeography-based optimization algorithm Eng. Optim. (IF 2.165) Pub Date : 2021-02-25 Jialin Huang; Xingsheng Gu
This article proposes a novel biogeography-based optimization (NBBO) algorithm to solve the distributed assembly permutation flow-shop scheduling problem with sequence-dependent set-up times (DAPFSP-SDST). The optimization objective of this problem is minimizing the maximum completion time (makespan). In the initialization phase, NBBO generates two kinds of feasible solutions. Secondly, the linear
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Time–cost trade-off in a multi-choice assignment problem Eng. Optim. (IF 2.165) Pub Date : 2021-02-25 Shalabh Singh; Sonia Singh
ABSTRACT The conventional assignment problem is unable to handle scenarios that may arise due to different working modes of machines leading to multiple cost and time entries corresponding to a job–machine pair. The present article deals with this problem and models it as a multi-choice bi-objective assignment problem, the two objectives being assignment cost and bottleneck time. Two different solution
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Study on the Mechanical Characteristics of Surrounding Rock in Excavation Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Xiaoqian Zhang; Chengwu Li; Chengmin Wei
Mine disasters, as associated problems in the development of coal resources, always threaten the life safety of miners and the production safety of enterprises. In coal roadway excavation, the coal in front of the excavation face is in a state of concentrated stress and the deformation is serious. The instability of the coal seam under stress is an important cause of the occurrence of coal and gas
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Interval Estimation of Random Coefficient Integer-Valued Autoregressive Model Based on Mean Empirical Likelihood Method Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Xianghong Xu; Dehui Wang; Zhiwen Zhao
In this paper, we study the use of the mean empirical likelihood (MEL) method in a first-order random coefficient integer-valued autoregressive model. The MEL ratio statistic is established, its limiting properties are discussed, and the confidence regions for the parameter of interest are derived. Furthermore, a simulation study is presented to demonstrate the performance of the proposed method. Finally
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An Efficient Polynomial Time Algorithm for a Class of Generalized Linear Multiplicative Programs with Positive Exponents Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Bo Zhang; YueLin Gao; Xia Liu; XiaoLi Huang
This paper explains a region-division-linearization algorithm for solving a class of generalized linear multiplicative programs (GLMPs) with positive exponent. In this algorithm, the original nonconvex problem GLMP is transformed into a series of linear programming problems by dividing the outer space of the problem GLMP into finite polynomial rectangles. A new two-stage acceleration technique is put
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A Dynamic-Weighted Attenuation Memory Extended Kalman Filter Algorithm and Its Application in the Underwater Positioning Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Bo Guo; Jianye Ma; Cui Wang
Extended Kalman filter (EKF) plays an important role in the acoustic signal processing of underwater positioning. However, accumulative errors and model inaccuracies lead to divergence. Then, attenuation memory EKF is created in response to this issue which needs to manually select all or part of the parameters. Thus, a dynamic-weighted attenuation memory EKF is proposed. Firstly, several underwater
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Matrix Factorization Recommendation Algorithm Based on Multiple Social Relationships Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Sheng Bin; Gengxin Sun
With the widespread use of social networks, social recommendation algorithms that add social relationships between users to recommender systems have been widely applied. Existing social recommendation algorithms only introduced one type of social relationship to the recommendation system, but in reality, there are often multiple social relationships among users. In this paper, a new matrix factorization
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The Novel Rational Spectral Collocation Method for a Singularly Perturbed Reaction-Diffusion Problem with Nonsmooth Data Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Lufeng Yang
A singularly perturbed reaction-diffusion problem with a discontinuous source term is considered. A novel rational spectral collocation combined with a singularity-separated method for this problem is presented. The solution is expressed as , where is the solution of corresponding auxiliary boundary value problem and is a singular correction with direct expressions. The rational spectral collocation
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Optimal Power Allocation for Cooperative Pattern Division Multiple Access Systems Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Xiurong Zhang; Shaoli Kang; Xueqian Fu
This study focuses on the power allocation (PA) problem in code division multiple access (PDMA) networks with amplify-and-forward (AF) relays. We provide two wireless communication technical performance indexes, which are system throughput and outage probability. A multiobjective version of particle swarm optimization is proposed to solve Pareto-optimal solutions for optimal PA problems. A novel programming
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Preimpact Fall Detection for Elderly Based on Fractional Domain Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Ning Liu; Dedi Zhang; Zhong Su; Tianrun Wang
The aging population has become a growing worldwide problem. Every year, deaths and injuries caused by elderly people's falls bring huge social costs. To reduce the rate of injury and death caused by falls among the elderly and the following social cost, the elderly must be monitored. In this context, falls detecting has become a hotspot for many research institutions and enterprises at home and abroad
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Meshing Stiffness Parametric Vibration of Coaxial Contrarotating Encased Differential Gear Train Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Donglin Zhang; Rupeng Zhu; Miaomiao Li; Wuzhong Tan; Pingjun Li
Planetary gears are widely used in mechanical transmission systems, but the vibration and noise affect their reliability and life. In this paper, the torsional dynamic model of an encased differential planetary gear with coaxial contrarotating outputs considering the time-varying meshing stiffness, damping, and phase difference of all gear pairs is established. By solving the equations of the derived
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The Impact of the SARS-CoV-2 Epidemic on World Indices: The Entropy Approach Math. Probl. Eng. (IF 1.009) Pub Date : 2021-02-26 Ayşe Metin Karakaş; Mine Doğan; Sinan Çalik
The coronavirus disease (COVID-19) outbreak started in December 2019 in Wuhan. The virus has spread around the whole world, and it has caused a strong and serious pandemic. Symptoms such as cough, respiratory distress, diarrhea, and fatigue associated with COVID-19 are typical clinical findings. Coronavirus infection has become an important public health concern because of its increasing prevalence
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An assessment of factors contributing to firms’ carbon footprint reduction efforts Int. J. Prod. Econ. (IF 5.134) Pub Date : 2021-02-23 Santosh K. Mahapatra; Tobias Schoenherr; Jayanth Jayaram
In recent years, companies have increasingly been taking measures to reduce their carbon footprint to minimize environmental impact. However, research that looks at factors that influence carbon emissions is scarce. We address this gap by empirically examining the impact of internal and external initiatives on firms' carbon footprints, as captured by their Scope 1, 2 and 3 emissions. Using secondary
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Moving towards a Sustainable and Innovative City: Internal Urban Traffic Accessibility and High-level Innovation Based on Platform Monitoring Data Int. J. Prod. Econ. (IF 5.134) Pub Date : 2021-02-26 Peizhen Jin; Sachin Kumar Mangla; Malin Song
Quantitative evaluation of the impact of traffic accessibility within large cities on innovation quality is conducive to a better understanding of urban governance and sustainable development. This paper analyzed the impact of traffic accessibility on regional and enterprise innovation using the big data from a floating car track monitored by the platform in five large cities in China. The study found
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Adopting service suppliers for servitisation: which type of supplier involvement is more effective? J. Manuf. Technol. Manage. (IF 3.385) Pub Date : 2021-02-25 Néstor F. Ayala; Paolo Gaiardelli; Giuditta Pezzotta; Marie Anne Le Dain; Alejandro G. Frank
Purpose The purpose of this study is to analyse the effect of different forms of service supplier involvement on the service business dimensions necessary for servitisation and on the resulting servitisation performance. Design/methodology/approach Three different configurations of service supplier involvement are considered in this study: black box (service design and execution driven by the service
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The smart SME technology readiness assessment methodology in the context of industry 4.0 J. Manuf. Technol. Manage. (IF 3.385) Pub Date : 2021-02-26 Sameh M Saad; Ramin Bahadori; Hamidreza Jafarnejad
Purpose This study proposes the Smart SME Technology Readiness Assessment (SSTRA) methodology which aims to enable practitioners to assess the SMEs Industry 4.0 technology readiness throughout the end-to-end engineering across the entire value chain; the smart product design phase is the focus in this paper. Design/methodology/approach The proposed SSTRA utilises the analytic hierarchy process to prioritise
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Does rational culture matter in the relationship between lean manufacturing practices and operational productivity? J. Manuf. Technol. Manage. (IF 3.385) Pub Date : 2021-02-26 Choon Hee Ong; You Ying Koo; Owee Kowang Tan; Chin Fei Goh
Purpose This paper aims to examine the role of rational culture in the relationship between lean manufacturing practices and operational productivity in the machinery and equipment industry. Design/methodology/approach This study uses a cross-sectional quantitative approach to conduct the research. Using an online survey questionnaire, 118 responses were collected. SPSS was used to assess validity
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Human resource practices accompanying industry 4.0 in European manufacturing industry J. Manuf. Technol. Manage. (IF 3.385) Pub Date : 2021-02-26 Yennef Vereycken; Monique Ramioul; Sam Desiere; Michiel Bal
Purpose Recent research has shown that the implementation of Industry 4.0 requires companies to (re)adjust their human resource (HR) policies. This article focuses on the relationship between Industry 4.0 and three HR practices: i.e. employee involvement, job design and skill development. Design/methodology/approach We use data of the European Company Survey (ECS) (2019). This nationally representative
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Modified forensic-based investigation algorithm for global optimization Eng. Comput. (IF 3.938) Pub Date : 2021-02-26 Yiğit Çağatay Kuyu, Fahri Vatansever
Forensic-based investigation (FBI) is recently developed metaheuristic algorithm inspired by the suspect investigation–location–pursuit operations of police officers. This study focuses on the search processes of the FBI algorithm, called Step A and Step B, to improve and increase its performance. For this purpose, opposition-based learning is adopted to Step A to enhance diversity, while Cauchy-based
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Monte Carlo Tree Search as an intelligent search tool in structural design problems Eng. Comput. (IF 3.938) Pub Date : 2021-02-26 Leonardo Rossi, Mark H. M. Winands, Christoph Butenweg
Monte Carlo Tree Search (MCTS) is a search technique that in the last decade emerged as a major breakthrough for Artificial Intelligence applications regarding board- and video-games. In 2016, AlphaGo, an MCTS-based software agent, outperformed the human world champion of the board game Go. This game was for long considered almost infeasible for machines, due to its immense search space and the need
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An efficient numerical algorithm for the study of time fractional Tricomi and Keldysh type equations Eng. Comput. (IF 3.938) Pub Date : 2021-02-26 Abdul Ghafoor, Sirajul Haq, Amir Rasool, Dumitru Baleanu
This work addresses a hybrid scheme for the numerical solutions of time fractional Tricomi and Keldysh type equations. In proposed methodology, Haar wavelets are used for discretization in space while \(\theta\)-weighted scheme coupled with second order finite differences and quadrature rule are employed for temporal discretization and fractional derivative respectively. Stability of the proposed scheme
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Accelerated Single Linkage Algorithm using the farthest neighbour principle Sādhanā (IF 0.849) Pub Date : 2021-02-26 Payel Banerjee, Amlan Chakrabarti, Tapas Kumar Ballabh
Single Linkage algorithm is a hierarchical clustering method which is most unsuitable for large dataset because of its high convergence time. The paper proposes an efficient accelerated technique for the algorithm for clustering univariate data with a merging threshold. It is a two-stage algorithm with the first one as an incremental pre-clustering step that uses the farthest neighbour principle to
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Energy-efficient scheduling: classification, bounds, and algorithms Sādhanā (IF 0.849) Pub Date : 2021-02-26 Pragati Agrawal, Shrisha Rao
The problem of attaining energy efficiency in distributed systems is of importance, but a general, non-domain-specific theory of energy-minimal scheduling is far from developed. In this paper, we classify the problems of energy-minimal scheduling and present theoretical foundations of the same. We derive results concerning energy-minimal scheduling of independent jobs in a distributed system with functionally
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Effects of fluorinated solvents on electrolyte solvation structures and electrode/electrolyte interphases for lithium metal batteries [Chemistry] Proc. Natl. Acad. Sci. U.S.A. (IF 9.412) Pub Date : 2021-03-02 Xia Cao, Peiyuan Gao, Xiaodi Ren, Lianfeng Zou, Mark H. Engelhard, Bethany E. Matthews, Jiangtao Hu, Chaojiang Niu, Dianying Liu, Bruce W. Arey, Chongmin Wang, Jie Xiao, Jun Liu, Wu Xu, Ji-Guang Zhang
Electrolyte is very critical to the performance of the high-voltage lithium (Li) metal battery (LMB), which is one of the most attractive candidates for the next-generation high-density energy-storage systems. Electrolyte formulation and structure determine the physical properties of the electrolytes and their interfacial chemistries on the electrode surfaces. Localized high-concentration electrolytes
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