bluuebunny/crossref_metadata_2025_split huggingface dataset:
Review on success factors of waqf information management system in Malaysia
Authors: Janom Norjansalika , Zairul Izham Mohd , Suraya Mansor Fairuz , Syed Aris Syaripah Ruzaini , Kamal Bashah Nor Shahniza , Habibah Arshad Noor 
Published: March 2020

Waqf is one of the important economic instruments in Islam. Waqf is known as an endowment consist of donating a building, a sum of money or plot of land for charitable purposes. Various relevant aspects with the field of waqf have been studied and debated by scholars in the area of socio-political studies, economic, accounting as well as waqf information management system development. Current research findings have shown few glaring issues in terms of the difficulty to distribute waqf benefits caused by incomplete file information, transparency of waqf documentation, lack of detailed information about waqf assets and the requirements to provide timely and sufficient information to the related stakeholders. Thus, this study explores conceptual model of integrated success factors of Waqf information management system from few literature analysis. The conceptual success model that consists of activities, relationships, relative advantage, compatability, triability, image, visibility, result demonstrability, voluntariness, complexity and trust have been used to demonstrate the Islamic and technology concepts of waqf information system. Thorough review from several research works will help to understand the gaps in the information system management related to the state waqf agencies in Malaysia. The findings of the above issues prove on the need to identify the success factors of waqf information system management thus, helps to ensure the success development of the system. The findings should be of great interest to both researchers and practitioners.
Hybrid conjugate gradient parameter for solving symmetric systems of nonlinear equations
Authors: K. Dauda M. , Mamat Mustafa , A. Mohamed Mohamad , Amir Hamzah Nor Shamsidah 
Published: March 2020

Mathematical models from recent research are mostly nonlinear equations in nature. Numerical solutions to such systems are widely needed and applied in those areas of mathematics. Although, in recent years, this field received serious attentions and new approach were discovered, but yet the efficiency of the previous versions suffers setback. This article gives a new hybrid conjugate gradient parameter, the method is derivative-free and analyzed with an effective inexact line search in a given conditions. Theoretical proofs show that the proposed method retains the sufficient descent and global convergence properties of the original CG methods. The proposed method is tested on a set of test functions, then compared to the two previous classical CG-parameter that resulted the given method, and its performance is given based on number of iterations and CPU time. The numerical results show that the new proposed method is efficient and effective amongst all the methods tested. The graphical representation of the result justify our findings. The computational result indicates that the new hybrid conjugate gradient parameter is suitable and capable for solving symmetric systems of nonlinear equations.
Integration of distributed generation and compensating capacitor in radial distribution system via firefly algorithm
Authors: Khuan N. , A. Rahim S. R. , H. Hussain M. , Azmi A. , A. Azmi S. 
Published: March 2020

<p>This paper presents an integration of distributed generation and capacitor in radial distribution system via Firefly Algorithm (FA). In this study, the FA is developed in order to determine the optimal location and size for compensation schemes namely distributed generation (DG) and compensating capacitor (CC). The FA which is a meta-heuristic algorithm is inspired by the flashing behavior of fireflies. The proposed technique was tested on IEEE Reliability Test systems namely the IEEE 69-bus and the program was developed using the MATLAB programming software. The results shown a significant reduction in the line losses and voltage profile improvement has been obtained with the installation of distributed generation and capacitor in the system.</p>
Principles of reforming an agile-compliant performance appraisal
Authors: Md. Rejab Mawarny , Omar Mazni , Ahmad Mazida , Hassan Syahida 
Published: March 2020

This paper presents principles of reforming an Agile-compliant performance appraisal. In this study, several semi-structured interviews have been carried out and discovered eight principles for reforming an Agile-compliant performance appraisal for Agile teams. Performance appraisal for software engineers in an Agile software development environment is complex and different from the traditional software development. Performance appraisal should be aligned to Agile values, principles, and practices, which advocate interactions, collaborations, teamwork, and knowledge transfer among Agile team members. Therefore, a transition to Agile Software Development requires the implementation of Agile-compliant performance appraisal. These principles embark the proper practices and guidance to support management and Agile teams in deriving and implementing an Agile-compliant performance appraisal. Therefore, the emerged principles can be a baseline in generating an Agile-compliant performance appraisal to assess Agile team members in a fair and consistent manner. This indirectly increases motivation amongst team members and tends to produce capable workforce to perform at a higher level.
Computational study of flow around a NACA 0012 by using Roe FVM scheme and davis-yee TVD scheme
Authors: Yusop Fatimah , Omar Zamri , Basuno Bambang , Mat Hassan Nik Normunira 
Published: March 2020

<p>Currently CFD had been considered as an important tool for solving engineering problems. The application of CFD had been used intensively in aircraft industries in design a new aircraft or in the effort of improvement on the exiting aircraft. In term of CFD computer code, the CFD code differs with any others may due to the difference in the numerical scheme have been used. Therefore, the present work presents the comparison result between two developed computer codes with ANSYS-FLUENT software to the case of transonic steady flow past through airfoil NACA 0012. The first computer code used a finite difference method with numerical scheme according to Davis-Yee TVD scheme. Meanwhile, the second computer code used a Roe’s cell centre finite volume scheme. The flow analysis is carried out at two Mach number, M (0.65 &amp; 0.8). Each Mach number applied to two different angles of attacks (0° &amp; 5°). The flow domain discretized by use of C-topology with 193x63 grid points. The comparison in term of the pressure coefficient, along the airfoil surface are presented. From the result, indicated that developed computer code is able to capture the presence of shock wave in the flow field.</p>
Brute force algorithm implementation for traveljoy travelling recommendation system
Authors: Samah K.A.F.A. , Sabri N. , Hamzah R. , Roslan R. , Mangshor N.A. , Asri A.A.M. 
Published: March 2020

<span>This paper presents the Brute Force algorithm implementation for TravelJoy Travelling Recommendation System. Due to overwhelmed information in the internet, travelers faced difficulties in finding and comparing which places in Melaka that worth to visit. Melaka is a well-known place as one of the most popular tourist spots in Malaysia, famous with historical places. All the mentioned problems were time-consuming and required lots of efforts for manual comparison between places and planning the trip itinerary. An efficient application system is needed to assist travelers in planning their trip itinerary by providing details of interesting place in Melaka, budget estimating and recommendation of sequence places which to visit. The TravelJoy application applied Traveling Salesman Problem (TSP) concept using Brute Force algorithm in determining the least time duration for the selected places and adapting Expected Time Arrival (ETA). It was found through Brute Force algorithm adaptation; the recommendation system is reliable based on the functional and reliability testing with t-test result of 0.00067, indicates the system is accepted.</span>
Flower and leaf recognition for plant identification using convolutional neural network
Authors: FatihahSahidan Nurul , Khairi Juha Ahmad , Mohammad Norasiah , Ibrahim Zaidah 
Published: March 2020

This paper presents flower and leaf recognition for plant identification using Convolutional Neural Network (CNN). In this study, the performance of CNN for plant identification using images of the leaves, flowers and a combination of both are investigated. Two publicly available datasets, namely Folio leaf dataset and Flower Recognition dataset, have been used for the training and testing purposes. CNN has been proven to produce excellent results for object recognition but its performance can still be influenced by the type of images and the number of layers of the CNN architecture. Experimental results indicate that the utilization of leaf images only arrive to the highest accuracy for plant identification compared to the images of flowers only or the combination of both, that are 98%, 85% and 74%, respectively.
Optimal location and sizing of DG and D-STATCOM in distribution networks
Authors: Reddy Salkuti Surender 
Published: March 2020

<p>The main aim of this paper is to determine optimal locations and sizing of Distributed Generations (DGs) and Distribution STATic COMpensator (D-STATCOM) in the distribution network for reducing the system losses and to improve the voltage profile. In this paper, the loss sensitivity factor approach is used to determine optimal location for DG and voltage stability index is used to determine optimal location for D-STATCOM. The objective of proposed optimization problem is to minimize the total real power losses in the system while satisfying several equality and inequality constraints. Artificial fish swarm optimization algorithm (AFSOA) is used to determine the optimal size of DG and D-STATCOM. The simulations are performed on standard 33 bus and 69 bus radial distribution systems and the obtained results show the feasibility and effectiveness of proposed approach.</p>
Investigation into the microwave power absorption in tissues
Authors: Thaher Raad Hamdan , Ali Heba Hadi , Hameed Isam Salah 
Published: March 2020

In this paper, the behavior of different tissues to microwave signal is presented. Beef, lamp, and fat were taken as tissue samples. The three types of tissues were taken in three different cases as soaked, normal, and dried. Moreover, each individual sample was prepared in five thickness as 1mm, 2mm, 3mm, 4mm and 5mm in the x-band frequency. The objectives of this paper were discussed to determine the power absorption when each sample is tested. The experimental results showed the soaked meat as the most power absorbing state when compared to the other cases of the normal and dried samples for the same thickness value. It has been found that the microwave power absorption is directly proportional to the thickness. Besides, the relationship between the microwave power absorption and the distance between transmitting and receiving antenna was also taken in consideration. It was found that as long as the tested sample is far away from the transmitter, the attenuation of the transmitted energy increases. With the aid of two techniques represented by an insertion transmission method and free-space transmission method, this paper presented an insight about the relation between the (moisture, distance, and thickness) and the microwave power absorption.
Supervised data mining approach for predicting student performance
Authors: Yaacob Wan Fairos Wan , Nasir Syerina Azlin Md , Yaacob Wan Faizah Wan , Sobri Norafefah Mohd 
Published: March 2020

<span>Data mining approach has been successfully implemented in higher education and emerge as an interesting area in educational data mining research. The approach is intended for identification and extraction of new and potentially valuable knowledge from the data. Predictive model developed using supervised data mining approach can derive conclusion on students' academic success. The ability to predict student’s performance can be beneficial for innovation in modern educational systems. The main objective of this paper is to develop predictive models using classification algorithm to predict student’s performance at selected university in Malaysia. The prediction model developed can be used to identify the most important attributes in the data. Several predictive modelling techniques of K-Nearest Neighbor, Naïve Bayes, Decision Tree and Logistic Regression Model models were used to predict student’s performance whether excellent or non-excellent. Based on accuracy measure, precision, recall and ROC curve, results show that the Naïve Bayes outperform other classification algorithm. The Naïve Bayes reveals that the most significant factors contributing to prediction of excellent students is when the student scores A+ and A in Multivariate Analysis; A+, A and A- in SAS Programming and A, A- and B+ in ITS 472.</span>
Prognostic Implication of First‐Degree Atrioventricular Block in Patients With Hypertrophic Cardiomyopathy
Authors: Higuchi Satoshi , Minami Yuichiro , Shoda Morio , Shirotani Shota , Saito Chihiro , Haruki Shintaro , Gotou Masayuki , Yagishita Daigo , Ejima Koichiro , Hagiwara Nobuhisa 
Published: March 2020

Background

The association between first‐degree atrioventricular block (
AVB
) and life‐threatening cardiac events in patients with hypertrophic cardiomyopathy (
HCM
) remains unclear. This study sought to investigate whether presence of first‐degree
AVB
was associated with
HCM
‐related death in patients with
HCM
.

Methods and Results

We included 414 patients with
HCM
(mean age, 51±16 years; 64.5% men). The P‐R interval was measured at the time of the initial evaluation and patients were classified into those with and without first‐degree
AVB
, which was defined as a P‐R interval ≥200 ms.
HCM
‐related death was defined as a combined end point of sudden death or potentially lethal arrhythmic events, heart failure–related death, and stroke‐related death. First‐degree
AVB
was noted in 96 patients (23.2%) at time of enrollment. Over a median (interquartile range) follow‐up period of 8.8 (4.9–12.9) years, a total of 56 patients (13.5%) experienced
HCM
‐related deaths, including 47 (11.4%) with a combined end point of sudden death or potentially lethal arrhythmic events. In a multivariable analysis that included first‐degree
AVB
and risk factors for life‐threatening events, first‐degree
AVB
was independently associated with an
HCM
‐related death (adjusted hazard ratio, 2.41; 95%
CI
, 1.27–4.58;
P
=0.007), and this trend also persisted for the combined end point of sudden death or potentially lethal arrhythmic events (adjusted hazard ratio, 2.60; 95%
CI
, 1.28–5.27;
P
=0.008).

Conclusions

In this cohort of patients with
HCM
, first‐degree
AVB
may be associated with
HCM
‐related death, including the combined end point of sudden death or potentially lethal arrhythmic events.
What Are the Favorable Large-Scale Environments for the Highest-Flash-Rate Thunderstorms on Earth?
Authors: Liu Nana , Liu Chuntao , Chen Baohua , Zipser Edward 
Published: March 2020

AbstractA 16-yr Tropical Rainfall Measuring Mission (TRMM) convective feature (CF) dataset and ERA-Interim data are used to understand the favorable thermodynamic and kinematic environments for high-flash-rate thunderstorms globally as well as regionally. We find that intense thunderstorms, defined as having more than 50 lightning flashes within a CF during the ~90-s TRMM overpassing time share a few common thermodynamic features over various regions. These include large convective available potential energy (>1000 J kg−1), small to moderate convection inhibition (CIN), and abundant moisture convergence associated with low-level warm advection. However, each region has its own specific features. Generally, thunderstorms with high lightning flash rates have greater CAPE and wind shear than those with low flash rates, but the differences are much smaller in tropical regions than in subtropical regions. The magnitude of the low- to midtropospheric wind shear is greater over the subtropical regions, including the south-central United States, Argentina, and southwest of the Himalayas, than tropical regions, including central Africa, Colombia, and northwest Mexico, with the exception of Sahel region. Relatively, favorable environments of high-flash-rate thunderstorms in the tropical regions are characterized by higher CAPE, lower CIN, and weaker wind shear compared to the high-flash-rate thunderstorms in the subtropical regions, which have a moderate CAPE and CIN, and stronger low to midtropospheric wind shear.
The Effect of Spatiotemporal Resolution Degradation on the Accuracy of IMERG Products over the Huai River Basin
Authors: Su Jianbin , Lü Haishen , Crow Wade T. , Zhu Yonghua , Cui Yifan 
Published: March 2020

AbstractThe rapid development of the Integrated Multisatellite Retrievals for Global Precipitation Measurement (IMERG) precipitation product provides new opportunities for a wide range of Earth system and natural hazard applications. Spatiotemporal averaging is a common method for IMERG users to acquire suitable resolutions specific to their research or application purpose and has a direct impact on the overall quality of IMERG precipitation estimates. Here, three different IMERG, version 06 (V06), latency run products (i.e., early, late, and final) are assessed against a ground-based benchmark along a continuous series of spatiotemporal resolutions over the Huai River basin (HuaiRB) between June 2014 and May 2017. In general, IMERG products better capture the spatial pattern of precipitation, and demonstrate better reliability, in the southern portion of the HuaiRB relative to its northern region. Furthermore, the degradation of spatiotemporal resolution is associated with better rain/no-rain determination and the consistent improvement of rainfall product performance metrics. This improvement is more pronounced for IMERG products at fine spatiotemporal resolution. However, due to the presence of autocorrelated errors, the performance improvement associated with the degradation of spatiotemporal resolution is less than theoretical expectations assuming purely uncorrelated errors. Component analysis indicates that while both temporal and spatial aggregation do not mitigate temporally autocorrelated errors, temporal averaging can remove spatially autocorrelated error. Hence, temporal averaging is found to be more effective than spatial averaging for improving the quality of IMERG products. These results will inform users of the reliability of IMERG products at different spatiotemporal scales and assist in unifying former disparate validation assessments applied at different scales within the literature.
A Calibrated Combination of Probabilistic Precipitation Forecasts to Achieve a Seamless Transition from Nowcasting to Very Short-Range Forecasting
Authors: Schaumann Peter , de Langlard Mathieu , Hess Reinhold , James Paul , Schmidt Volker 
Published: March 2020

Abstract
In this paper, a new model for the combination of two or more probabilistic forecasts is presented. The proposed combination model is based on a logit transformation of the underlying initial forecasts involving interaction terms. The combination aims at approximating the ideal calibration of the forecasts, which is shown to be calibrated, and to maximize the sharpness. The proposed combination model is applied to two precipitation forecasts, Ensemble-MOS and RadVOR, which were developed by Deutscher Wetterdienst. The proposed combination model shows significant improvements in various forecast scores for all considered lead times compared to both initial forecasts. In particular, the proposed combination model is calibrated, even if both initial forecasts are not calibrated. It is demonstrated that the method enables a seamless transition between both initial forecasts across several lead times to be created. Moreover, the method has been designed in such a way that it allows for fast updates in nearly real time.
Contemporary Australian priming constituents for adult perfusion centres: a survey
Authors: Steel Rona , Bui Tri 
Published: March 2020

Aim: Evidence for the ideal/best practice priming solution remains meagre and largely historical. The aim of this survey was to determine the constituents of contemporary priming solutions in adult open-heart centres across Australia. This would provide insight on the level of variation within current Australian priming practices and inform perfusionists of how their current priming methods compare to the spectrum of Australian practice. Method: A total of 15 survey questions covering various aspects of priming constituents were sent via email to perfusionists in all 63 adult open-heart centres across Australia. Results: This prime survey received a 100% response rate across Australia. All units prime with a balanced physiological solution, 73% of units prime with Plasma-Lyte 148 and 19% with Hartmann’s solution. No synthetic colloids are used for priming in Australia. Up to 6,520 (30%) cases per annum receive heparin as the only additive to their prime base solution. All other cases had various combinations of sodium bicarbonate, mannitol and albumin added for a variety of recorded reasons. Conclusion: Contemporary Australian priming practices show a marked level of conformity between units. Variation exists in the rationale for adding sodium bicarbonate, mannitol and albumin. Further investigations into the clinical effects of these additives are required to determine if the rationale for their addition is historical or judicious in this contemporary era of low prime volumes, physiological base solutions and coated bypass circuits.
Split chimeric antigen receptor-modified T cells targeting glypican-3 suppress hepatocellular carcinoma growth with reduced cytokine release
Authors: Liu Xuan , Wen Jianyun , Yi Honglei , Hou Xiaorui , Yin Yue , Ye Guofu , Wu Xuedong , Jiang Xiaotao 
Published: March 2020

Background: Human glypican-3 (hGPC3) is a protein highly expressed in hepatocellular carcinoma (HCC) but limited in normal tissues, making it an ideal target for immunotherapy. The adoptive transfer of hGPC3-specific chimeric antigen receptor T (CAR-T) cells for HCC treatment has been conducted in clinical trials. Due to the rigid construction, conventional CAR-T cells have some intrinsic limitations, like uncontrollable overactivation and inducing severe cytokine release syndrome. Methods: We redesigned the hGPC3-specific CAR by splitting the traditional CAR into two parts. By using coculturing assays and a xenograft mouse model, the in vitro and in vivo cytotoxicity and cytokine release of the split anti-hGPC3 CAR-T cells were evaluated against various HCC cell lines and compared with conventional CAR-T cells. Results: In vitro data demonstrated that split anti-hGPC3 CAR-T cells could recognize and lyse hGPC3+ HepG2 and Huh7 cells in a dose-dependent manner. Impressively, split anti-hGPC3 CAR-T cells produced and released a significantly lower amount of proinflammatory cytokines, including IFN-γ, TNF-α, IL-6, and GM-CSF, than conventional CAR-T cells. When injected into immunodeficient mice inoculated subcutaneously with HepG2 cells, our split anti-hGPC3 CAR-T cells could suppress HCC tumor growth, but released significantly lower levels of cytokines than conventional CAR-T cells. Conclusions: We describe here for the first time the use of split anti-hGPC3 CAR-T cells to treat HCC; split anti-hGPC3 CAR-T cells could suppress tumor growth and reduce cytokine release, and represent a more versatile and safer alternative to conventional CAR-T cells treatment.