bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rain height dynamics over some coastal cities of South Africa for earth-space links design
Authors: Olurotimi E O , Ojo J S 
Published: June 2021

Abstract
One of the major parameters required for the prediction of rain-induced attenuation is the rain height. This paper presents some dynamic features of rain height measurement from TRMM-PR over two coastal cities in the Republic of South Africa. The analysis of 5-year data on the variation of bright band height, atmospheric pressure, relative humidity, and temperature reveal seasonal dependence over the studied locations. The result shows the existence of stratiform-convective interaction within the season, especially during the summer months. The observed exceedance in the probability of the bright band also shows the presence of two rain type (stratiform and convective). Comparison of rain height measurements with the recommended ITU-R reveals above 1 km variations with the percentage difference of about 30%, which could create a serious negative effect on the link design. This study suggests the adaptation of local rain height data for better accuracy of link design for the region.
Comparison of Muscle Activation between Traditional, Diamond and Knuckle Push Up Among Trained Men
Authors: Nadzalan Ali Md , Mohamad Muhamad Hasrulnizam , Shafiee Mohd Syamil , Omar Nur Farihah , Malek Nor Fazila Abd , Janep Mandra , Karim Zulakbal Abd 
Published: June 2021

Abstract
This study was conducted to compare the muscle activation during traditional, diamond and knuckle push up among trained men. Thirty men that had at least one year experience in fitness training involved as participants in this study. Participants were required to perform all the three kinds of push up in a randomised order to avoid bias effects in exercise order. Electromyography method was used to obtain the pectoralis major, triceps brachii and anterior deltoid muscle activation. Muscle activation was reported as percentages of maximal voluntary contraction. One way repeated measure analysis of variances (ANOVA) was conducted to compare the muscle activation between the three push up protocols. Results showed that the muscle activation of pectoralis major and anterior deltoid were highest during traditional push up while being the lowest during diamond push up. However, the muscle activation of triceps brachii was highest during diamond push up and lowest during traditional push up. As the conclusion, we can see that the position and distance of hands on the floor will give effects on the muscle activation. As the implication of this study, coaches, athletes and individuals can manipulate techniques while performing a movement to obtain more muscle activation to specific muscle of interest during a movement.
Analysis the Energy Saving of Chiller Plant (CHIP) Daily Operation by Using Optimal Projected Capacity of Ice Thermal Energy Storage (ITES)
Authors: Shaari SR , Othman M.L. , Hizam H. , Dahlan NY , Chik Mohd Hanafiah , Yahaya Mohamad Suhaimi , Bakar Hamzah Abu , Anuar Suhafizudin Zainal , Amir Zulhelmi 
Published: June 2021

Abstract
High total cooling load (COLA) relatively during peak and mid-peak as compared to off-peak hour’s period requires more operating equipment of chiller plant (CHIP) to be operated during that period. The more operating equipment working, the more energy consumed is required to provide cooling thermal for COLA. High energy consumption of CHIP operation during peak and mid-peak hour lead high electricity cost due to higher energy charge charged by utility for every per kWh energy consumed by a CHIP operation. Therefore, this study aims to determine potential energy saving of CHIP operation by using optimal charging of ice thermal energy storage (ITES), then provide cooling thermal (COMA) for total COLA through discharging operation. Cooling thermal of ITES was charged based on maximum required COLA during peak and mid-peak hour. In this study, an optimization technique of linear programming was used to charge ITES optimally during off-peak hour. Analysis was conducted to compare the energy consumption of CHIP operation by using ITES discharging operation with the current practice of CHIP operator. This analysis showed that, the potential energy saving based on this strategy by using optimization technique is 27.89%.
Comparative Analysis in Execution of Machine Learning in Breast Cancer Identification: A Review
Authors: Nadarajan Ravindran , Sulaiman Noorazliza 
Published: June 2021

Abstract
Carcinoma known as breast cancer is a significant common cancer among women worldwide. In line with the global trends, it accounts for many new cancer cases and cancer-related deaths, giving it a substantial public health issue in today’s culture. Early diagnosis is the most effective method to reduce the number of deaths in patients with breast cancer. Effective and early diagnosis of breast cancer ensure like mammography or biopsy to ensure the long-term survival of affected patients. Several conflicts arise in using traditional approaches, such as overdiagnosis or under-diagnosis. Machine learning is used to overcome the issues where it can strengthen the current conventional diagnosing of patients with breast cancer. The application of the classification method for diagnosing breast cancer is reviewed in this paper. Support Vector Machine (SVM), Naïve Bayes, K-Nearest Neighbour (KNN), Decision Tree, Artificial Neural Network (ANN), and logistic regression are six methods presented in the review. These techniques are integrated with conventional methods, often allow physicians to diagnose breast cancer effectively. In summary, machine learning improvises in diagnosing breast cancer in terms of accuracy, sensitivity, and specificity with excellent performance and quality of patients.
Review of Lean Manufacturing with IR4.0 in Automotive Industry
Authors: Affydah Dara , Rose ANM , Rashid MFF Ab , Mohamed NMZ Nik 
Published: June 2021

Abstract
This paper aims to study the possibility of integration between Lean Manufacturing (LM) and Industrial Revolutions 4.0 (IR4.0). LM is generally known and acknowledged as a feasible system in the industrial sector. However, a new paradigm of IR4.0 has influenced manufacturers to look further into how LM could be implemented and adopted. It drives the integration of an intelligent factory to control machines, humans, products, and cloud solutions along the value chain. Manufacturers, especially in the automotive industry such as Toyota Company, have been using lean concepts and methods for so many years to eliminate wastes, reduce operational costs, and improve production performance. By integrating LM with IR4.0, the manufacturers could enhance productivity and quality by using the implementation chain. Besides, it enables self-management operational processes that could ensure the customer’s quality of production.
The effect of dimethyl sulfoxide on Corynebacterium pseudotuberculosis biofilm: An in silico prediction and experimental validation
Authors: Yaacob Mohamad Fakhri , Abdullah Faez Firdaus Jesse , Jamil Norashirene Mohamad , Yunus Norfatimah Mohamed , Aazmi Shafiq , Yahya Mohd Fakharul Zaman Raja 
Published: June 2021

Abstract

Corynebacterium pseudotuberculosis is a Gram-positive pathogen that commonly causes caseous lymphadenitis which occurs in sheep, goats, cattle, buffalo and horses. This disease has long been shown to be a major cause of economic loss on sheep industries. Dimethyl sulfoxide (DMSO) is known to be effective against a wide spectrum of pathogens however, its efficacy against C. pseudotuberculosis biofilm remains uncertain. The objective of this study was to predict the antibiofilm potential of DMSO against C. pseudotuberculosis using in silico protein interaction network analysis and experimentally determine the antibiofilm activity using standard microplate assay system. As compared to the protein interaction network of S. typhimurium biofilm that had previously been shown to be inhibited by DMSO, the protein interaction network of C. pseudotuberculosis showed similar nodes, hub proteins and functional linkages between glycolytic enzymes. Further experimental validation revealed that the treatment with DMSO significantly (p<0.05) inhibited C. pseudotuberculosis biofilm at all tested concentrations (1.56% - 50%). The findings from the present study suggest the potential application of DMSO in controlling caseous lymphadenitis in ruminants.
The effects of attitude on the intention to use Pahang Mart Portal: An evidence from Malaysia during MCO
Authors: Misaridin Nur Aulia Fahada binti , Mokhtar Mohammad Zulfakhairi bin , Bakar Wan Hashridz Rizal bin Wan Abu 
Published: June 2021

Abstract
The use of online shopping has been gaining interest, particularly after the outbreak of the Covid 19 epidemic. However, if this system is not fully used then the government and the service provider will suffer losses. Therefore, this study aims to identify the role of attitude in explaining the acceptance of online shopping among consumers in Malaysia. This study is a quantitative study that uses non-probability sampling techniques. A total of 127 respondents were successfully collected. Findings prove that attitude has a significant relationship with the acceptance of online shopping. The implications of the study are also discussed
Performances of Artificial Neural Network (ANN) and Particle Swarm Optimization (PSO) Using KDD Cup ‘99 Dataset in Intrusion Detection System (IDS)
Authors: Norwahidayah S. , Noraniah  , Farahah N. , Amirah Ainal , Liyana N. , Suhana N. 
Published: June 2021

Abstract
Nowadays, the number of attacker increasing fast due to the current technologies. Most companies or an organization use Intrusion Detection System (IDS) to protect their network system. Many researchers suggest different ways to improve the IDS such using optimization techniques. Artificial Intelligence (AI) methods also proposed in IDS to attained high accuracy of detection for example; artificial neural network, particle swarm optimization and genetic algorithm. Artificial neural network (ANN) and Particle Swarm Optimization (PSO) used in this paper to equate the method and performances in IDS environment. The ANN output value will be compared with the result where ANN supported by PSO to produce higher accurate value. KDD CUP ’99 Dataset used as the benchmark of IDS and will be simulated in MATLAB Simulink 2013. 200 datasets used consists of attacks and normal activities as an input. In this paper, DoS attack which are Smurf and Neptune attacks selected for detection.
Discriminant Validity: A Comparison of CBSEM and Consistent PLS using Fornell & Larcker and HTMT Approaches
Authors: Afthanorhan Asyraf , Ghazali Puspa Liza , Rashid Norfadzilah 
Published: June 2021

Abstract
Discriminant validity is recognized as the essential approach in structural equation modelling method to determine the construct uniqueness in a research model. Using this approach, the applied researchers can identify the distinction role on each construct applied in the study. To date, there are several available approaches has been introduced to perform the discriminant validity. In applied research, the Fornell & Larcker approach is known as the method of choice for discriminant validity. Thus, this study attempt to make a comparison Fornell & Larcker approach with HTMT using CBSEM and Consistent PLS. From here, the results revealed that HTMT based Consistent PLS approach is comparable to Fornell & Larcker based CBSEM but not empirical standard to Fornell & Larcker based Consistent PLS. The discussion and recommendations also provided for this justifications.
Roles selection: a computational approach using ELECTRE and CFFR based on Multi Criteria Tacit Knowledge Acquisition
Authors: Yusof Yau’mee Hayati Hj Mohamed , Arshah Ruzaini Abdullah , Romli Awanis 
Published: June 2021

Abstract
During the Talent Development Intervention programme, there is a need to provide an effective model to assess awareness, skills and experience among potential academics. To qualify as an Academic Leader or Academic Manager, there are certain characteristics and t raits necessary. However, there is a lack of research on the training of talented academicians to improve and avoid the loss of these characteristics and traits. Lack of this training would also contribute to vacancy positions of Academic Administrator without being hired. This paper aims to formulate and compare the Multi-criteria Decision-Making methods using ELECTRE (Elimination and Choice Expressing Reality) and CFPR (Consistent Fuzzy Preference Relations) based on proposed model of Multi Criteria Tacit Knowledge Acquisition (MC-TKAF). One set of empirical study based on proposed model contain seventeen (17) main criteria’s and one hundred eights (108) sub criteria are used to select the best candidate to fill in academic administrator roles. In this study, our focus is to integrate MCDM using CFFR and ELECTRE into implementation of Talent Development Intervention based on MC-TKAF development criteria. This paper also highlighted previous literatures which has shown how MC TKAF is formed and the justification of MCDM technique that will be used. The finding shows that both techniques produce the same results.
A complex of manometric methods for studying thermophysical, thermochemical properties and thermal stability of energy-intensive compounds
Authors: Tarasov G.A. , Molokanov A.A. , Plishkin N.A , Kazakov A.I. , Varlamova N.I. , Yanovskiy L.S. , Larikova T.S. 
Published: June 2021

Abstract
A comprehensive manometric method for studying thermophysical characteristics and kinetics of thermal decomposition of components of fuels or lubricants for aircraft engines has been developed and tested, including a low-temperature unit of the Bourdon type and a new manometric unit for high temperatures and pressures. A comprehensive method has been developed for carrying out computational and experimental studies of the properties of new compounds on manometric installations. New data on thermophysical properties and kinetics of decane thermal decomposition for temperature and pressure ranges that are absent in the NIST information base was obtained [1].
Research on Vibration Characteristics of Zither Based on Modal Analysis
Authors: Hu bing , Li Haoran 
Published: June 2021

Abstract
Chinese Zither is one of the traditional Chinese national musical instruments. It has a clear tone and a wide range of plucked strings, which is comparable to Western instruments. In recent years, with the increasing number of zither students, the method of making zither has gradually changed from manual production to machine production. In the background of the mass production of musical instruments, it has become the consensus of the manufacturers to establish a more complete and scientific zither-making specification. Among them, the problem of zither noise and vibration is an urgent problem to be solved. This paper constructs a three-dimensional finite element model of Chinese Zither based on the principle of vibration and noise, and analyzes its vibration characteristics. [1] The finite element model of the zither is established by combining computer simulation technology with traditional Chinese musical instrument manufacturing. It is obtained the zither dynamic characteristics through analyzing and provided data and theoretical support for the structure research and optimization of the zither.
Research on Analysis and Prediction of Elderly Medical Satisfaction Based on Convolutional Neural Network
Authors: Gao Jing , Song Jiayang , Han Le 
Published: June 2021

Abstract
In order to adapt to the development of economic and social aging, solve the practical problem of incomplete medical security system in China, and provide higher quality medical services to more elderly people. In this paper, a comprehensive and effective survey and data collection on the status quo of medical services for the elderly were conducted by means of questionnaire survey, and an evaluation index system affecting the satisfaction with medical services for the elderly was established by using SERVQUAL model. On this basis, this paper will survey the one dimensional data into two dimensional data, taking advantage of computer vision in depth study using convolution neural network model to generate satisfaction evaluation system for the weight of each index, and then using the trained network model as an effective assessment tools, effective training sample sets of the sample satisfaction accurately forecast, forecast results to improve the elderly health work provides some feasible suggestions.
Modeling and Analysis of Millimeter Wave 5G Cellular Networks Based on 3-D Spatial Model
Authors: Xu Teng , Pan Ziyu , Zhang Haolin , Zou Qiqi , Bao Can 
Published: June 2021

Abstract
Wireless cellular networks are usually modeled and analysed in two-dimensional (2-D) space. The 2-D model is suitable for the analysis of cellular networks in suburb area but not for the dense millimeter cellular networks in the urban environments. In this work, a three-dimensional (3-D) model based on stochastic geometry is proposed, in which the distribution of base stations (BSs) are modelled as a 3-D Poisson point process (PPP), the blockage is modelled as line of sight (LOS) ball, the shadowing of wireless channel is modelled as Nakagami-m fading, and both the transmitters and receivers obtain maximum gain of beamforming by a large array of antennas. Based on the model, the distribution of the distance between the target user and the nearest the BS is given, and then the average coverage probability and transmission rate of the networks are derived. We analyse the impact of parameters such as path loss, cell radius on average coverage and the relationship between BS density and average rate through Monte Carlo simulation. The simulation results show that in the dense urban environment, the performance of 3-D PPP model of the millimeter wave cellular network analysis is more precise.
Design of the Fire Command Vehicle Simulation Operating Software
Authors: Zhang Yansu , Du Kunze , Tian Junjing 
Published: June 2021

Abstract
With the development of computer technology and fire informatization, virtual reality technology is widely used in job training and simulation training of fire fighting forces. Based on the virtual reality technology, studying the function and operation process of the fire command vehicle, and simulating the actual operation of the fire command vehicle by computer, all these can meet the actual demand of the fire command vehicle to the greatest extent. Firstly, the fire command vehicle simulation operating software uses 3DS Max to build a three-dimensional model of the fire command vehicle in the paper. Then, it uses panoramic and interactive technology to design the internal and external panoramic models of the fire command vehicle. Also, the simulation operation of the fire command vehicle panel is realized. Finally, the common faults and solutions of the fire command vehicle are analyzed. The implementation of the software can help the operators learn about the structure of the fire command vehicle and the function of the operation panels in the fire command vehicle and grasp the operation process. It is helpful to deepen the operator’s familiarity with the fire command vehicle and improve the combat effectiveness of the fire force.
Impact on Property Market from Economic Policy Uncertainty and Its Spillover
Authors: Zhang Yunyi , Gu Huaying 
Published: June 2021

Abstract
The property market plays an important role in the economic system, and it would be greatly affected by the change of economic policies. Understanding the impact of economic policy uncertainty (EPU) is helpful for the investment and management. The EPU of an economy is not only acting on its own property market; the transmission of EPU between different economies, or called as the spillover of EPU, also makes influence on other property markets. However, the impact from the spillover of EPU is not considered previously due to the lack of methods and thus still remains unclear. Therefore, in this work, we combine a generalized VAR model and a DSP-GARCH model to simultaneously take the EPU and its spillover into account. The data of property indices and EPU indices for eight economies are used. Empirical analysis shows that the increased change of EPU has significant negative effect on the property market, and the effect from the spillover of EPU also significantly exist between property markets. The property market with large spillover of EPU yields strong volatility spillover effect.
Accounting for internal migration in spatial population projections—a gravity-based modeling approach using the Shared Socioeconomic Pathways
Authors: Reimann Lena , Jones Bryan , Nikoletopoulos Theodore , Vafeidis Athanasios T 
Published: June 2021

Abstract
Gridded population projections constitute an essential input for climate change impacts, adaptation, and vulnerability (IAV) assessments as they allow for exploring how future changes in the spatial distribution of population drive climate change impacts. We develop such spatial population projections, using a gravity-based modeling approach that accounts for rural-urban and inland-coastal migration as well as for spatial development patterns (i.e. urban sprawl). We calibrate the model (called CONCLUDE) to the socioeconomically diverse Mediterranean region, additionally considering differences in socioeconomic development in two geographical regions: the northern Mediterranean and the southern and eastern Mediterranean. We produce high-resolution population projections (approximately 1 km) for 2020–2100 that are consistent with the Shared Socioeconomic Pathways (SSPs), both in terms of qualitative narrative assumptions as well as national-level projections. We find that future spatial population patterns differ considerably under all SSPs, with four to eight times higher urban population densities and three to 16 times higher coastal populations in southern and eastern Mediterranean countries compared to northern Mediterranean countries in 2100. In the South and East, the highest urban density (8000 people km−2) and coastal population (107 million) are projected under SSP3, while in the North, the highest urban density (1500 people km−2) is projected under SSP1 and the highest coastal population (15.2 million) under SSP5. As these projections account for internal migration processes and spatial development patterns, they can provide new insights in a wide range of IAV assessments. Furthermore, CONCLUDE can be extended to other continental or global scales due to its modest data requirements based on freely available global datasets.