bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interacting hadron resonance gas model in magnetic field and the fluctuations of conserved charges
Authors: Kadam Guruprasad , Pal Somenath , Bhattacharyya Abhijit 
Published: September 2020

Abstract
In this paper we discuss the interacting hadron resonance gas (HRG) model in presence of a constant external magnetic field. The short range repulsive interaction between hadrons are accounted through Van der Waals excluded volume correction to the ideal gas pressure. Here we take the sizes of hadrons as r

π
(pion radius) = 0 fm, r
K (kaon radius) = 0.35 fm, r
m (all other meson radii) = 0.3 fm and r
b (baryon radii) = 0.5 fm. We analyse the effect of uniform background magnetic field on the thermodynamic properties of interacting hadron gas. We especially discuss the effect of interactions on the behaviour of magnetization of low temperature hadronic matter. The vacuum terms have been regularized using magnetic field independent regularization scheme. We find that the magnetization of hadronic matter is positive which implies that the low temperature hadronic matter is paramagnetic. We further find that the repulsive interactions have very negligible effect on the overall magnetization of the hadronic matter and the paramagnetic property of the hadronic phase remains unchanged. We have also investigated the effects of short range repulsive interactions as well as the magnetic field on the baryon and electric charge number susceptibilities of hadronic matter within the ambit of excluded volume HRG model.
3D point cloud capture method for underwater structures in turbid environment
Authors: Lin Haitao , Zhang Hua , Li Yonglong , Wang Haoran , Li Jialong , Wang Shuang 
Published: September 2020

Abstract
Underwater structure inspections are essential for infrastructure maintenance, such as hydraulic facilities, bridges, and ports. Due to the influence of turbidity, dark light, and distortion, the traditional methods cannot satisfy the requirements of on-site inspection applications. This paper proposed a methodology of the point cloud data capture in the turbid underwater environment. The method consisted of an acquisition device, a distortion correction algorithm, and a parameter optimization approach. The acquisition device was designed by composing a silt-removing module, a structured light camera module, and a clear water replacement module, which can integrate with an underwater inspection robot. The underwater multi-medium plane refraction distortion model was established through analysis, and a refraction correction algorithm was provided to correct the distortion. To obtain the maximum field of view of the point cloud, the nonlinear optimization approach was used to select the medium material and thickness. After the real experiments using the Intel RealSense sr300 depth camera, maximum measuring distance could range up to 253 mm in water, the accuracy of the point cloud of the underwater target objects was ±3.77 mm, and the maximum error was 8.76%. Compared with other methods, this method was more suitable for 3D point cloud capture in the turbidity environment.
Complementary amide-based donor–acceptor with unique nano-scale aggregation, fluorescence, and band gap-lowering properties: a WORM memory device
Authors: Ghosh Tanmoy , Mondal Somrita , Maiti Rituparna , Nawaz Sk Masum , Ghosh Narendra N , Dinda Enakshi , Biswas Amrita , Maity Suman Kumar , Mallik Abhijit , Maiti Dilip K 
Published: September 2020

Abstract
Organic fluorescent semiconducting nanomaterials have gained widespread research interest owing to their potential applications in the arena of high-tech devices. We designed two pyrazaacene-based compounds, their stacked system, and the role of gluing interactions to fabricate nanomaterials, and determined the prospective band gaps utilizing the density functional theory calculation. The two pyrazaacene derivatives containing complementary amide linkages (–CONH and –NHCO) were efficiently synthesized. The synthesized compounds are highly soluble in common organic solvents as well as highly fluorescent and photostable. The heterocycles and their mixture displayed efficient solvent dependent fluorescence in the visible region of the solar spectrum. Notably, the compounds were associated through complementary NH•••O = C type hydrogen bonding, π–π stacking, and hydrophobic interactions, and thereby afforded nanomaterials with a low band gap. Fascinatingly, the fabricated stacked nanomaterial system exhibited resistive switching behavior, leading to the fabrication of an efficient write-once-read-many-times memory device of crossbar structure.
Observational evidence of magnetic reconnection in a coronal bright point
Authors: Ning Zong-Jun , Li Dong , Zhang Qing-Min 
Published: September 2020

Abstract
Magnetic reconnection is considered to be the fundamental process by which magnetic energy is converted into plasma or particle kinetic energy. Magnetic reconnection is a widely applied physics model to explain the solar eruption events, such as coronal bright points (CBPs). Meanwhile, it is an usual way of the solar physics research to look for the observational evidences of magnetic reconnection in the solar eruption events in order to support the model. In this paper, we have explored the evidences of magnetic reconnection in a CBP observed by the Atmospheric Imaging Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) at NOAA No. 11163 on 2011 March 5. Our observations show that this event is a small-scale loop system in active regions that have similar size as a traditional CBP and it might shed light on the physics of a traditional CBP. This CBP is bright in all nine AIA wavelengths and displays a flaring development with three bursts intermittently. Each burst exhibits a pair of bi-directional jets almost along a line. They originate from the same position (CBP core), then move in the opposite directions. Our findings are well consistent with the magnetic reconnection process by which the bi-directional plasma outflows are produced and radiate the bi-directional jets detected by SDO/AIA. These facts further support the conclusion that the CBP is produced by the magnetic reconnection process.
Education Innovations through Mobile Learning Technologies for the Industry 4.0 Readiness of Tertiary Students in Malaysia
Authors: Karim R A , Adnan A H M , Salim M S A M , Kamarudin S , Zaidi A 
Published: September 2020

Abstract
The formal education sphere is one that is dynamic and ever-changing, even more so with current developments in technologies of teaching and learning. The process of education needs new innovations to keep pace with these rapid developments, particularly for tertiary students on the cusp of radical Industry 4.0 ‘disruptions’ that will permeate all social and personal domains in human societies around the globe. One area where innovation is happening is in the implementation of mobile learning technologies for tertiary college and higher learning institutions. The study examines why and how tertiary students utilize their mobile devices in the education setting as both a conduit and catalysts for e-learning. Tertiary students find the utilize of mobile devices easy and natural, thus helping them to learn anytime, anywhere. Today, the popularity of mobile practices amongst tertiary education is steadily growing and they are now able to utilize their mobile devices for a myriad of activities from developing websites to creating mobile apps to acquiring knowledge non-stop. Mobile application for learning is expected to be prevalent in forthcoming, as more devices procured by the younger generation. This study examines results from a survey on the perceptions and practices of mobile learning for Malaysian tertiary students. A quantitative research methodology was adopted to analyse data; results demonstrate that these students have positive perceptions towards mobile technology utilize in learning, and they actively and autonomously utilize mobile devices to enhance their experience of learning.
Development of IoT Based Weather Reporting System
Authors: Pauzi A F , Hasan M Z 
Published: September 2020

Abstract
Weather forecast these days is unpredictable too be exact because of the climate changes drastically over weather. In cause of that, Weather Reporting System is mostly used to monitor the continuously changing climatic and weather conditions over controlled areas likes house, industry, agriculture and etc. in real time monitoring. Internet of Things (IoT) platform use is ThingSpeak it’s should be able displaying the weather parameters and the information will visible wherever in the world and it’s also displaying on the OLED with two-way microcontroller communication via Wi-Fi hotspots. The condition of some particular place that be reported by satellite weather report system does not give the exact condition. However, the problem occurs when needed the accurate weather report for current time. With weather reporting system all weather parameters sensor will be controlled by ESP32 microcontroller as the server that will send all the data collected by sensors to the database by ThingSpeak and will visible anywhere in the world and also display on OLED that use Wemos D1 mini as its microcontroller and a client. This data then will be compared with the weather forecast data and statistics made by forecast station. All data collected will be also saved in google sheet format by IFTT tool for easier to analyse the data. This system will monitor the changes of weather condition happening over the environment and then provides the users fastest way to access the information from anywhere.
Design of a 3D Printed UWB Antenna for a Low-Cost Wireless Heart and Respiration Rate Monitoring
Authors: ‘A Alias N , Shaharum S M , Karim M S A 
Published: September 2020

Abstract
This paper introduces an ultra-wideband (UWB) horn antenna for a low-cost wireless heart and respiration rate monitoring that is manufactured by a 3D printing technology. The proposed design operates within 3.1-10.6 GHz. The horn antenna is designed within the 15-dB gain which is sufficient to be used in medical system. The horn was designed to calculate the gain in MATLAB using an approximation method and simulated using CST Microwave Studio. The proposed antenna is 4-6 GHz (G-Band) operating. A printed antenna which is supported by WR-187 rectangular waveguide is fabricated using low cost polylactic acid (PLA). The surface is then metalized using copper tape on the inside. The simulation result of reflection coefficient for different conductivity and thickness of coating metal is compared, the developed 3D printed antenna successfully operated within given frequency range of 3-11 GHz which covered the ultra-wideband frequency range.
The Combination of Autoregressive Integrated Moving Average (ARIMA) and Support Vector Machines (SVM) for Daily Rubber Price Forecasting
Authors: Jing Jong Lai , Ismail Shuhaida , Mustapha Aida , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
Natural rubber (NR) price is easily affect by the long term and short term exchange rate of developments on supply and demand sides, as well as the effects of exchange rates. Due to the fact that monthly, quarterly, and annually data have underwent the smoothing technique, it may has missed out some of the important characteristics or information describing the rubber price. Since the NR price is changing daily, therefore, this study focuses on the predicting the future daily prices. A combination models of Autoregressive Integrated Moving Average (ARIMA) and Support Vector Machine (SVM) is proposed in order to capture the future value of NR prices. The experimental results show that the proposed model performs the best whereby it has under predicted by 6.31% with the r value of 0.9976 compared to single ARIMA and SVM models. As the results, the combination model shows to be an effective tools in improving the forecasting accuracy by reducing the model forecast error.
Binary Time-Frequency Mask for Improved Malay Speech Intelligibility at Low SNR Condition
Authors: Jamal Norezmi , Fuad N. , Sha’bani MNAH , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
A binary masking is often seen as a medium to enhance speech signal especially in hearing aid and speech recognition applications due to its simplicity and efficient approach for supervised source separation. High intelligibility could be obtained by applying the binary time-frequency masking to noisy speech signal. Since the issue of linear filtering algorithms might affect the intelligibility of noisy speech signal, so, this paper presents the binary time-frequency mask for improved Malay speech intelligibility at low SNR condition. The clean Malay speech signals that were contaminated by car and train noise with different signal to noise ratio (SNR) and local criterion (LC) level in forming the binary mask are analysed. The performance of intelligibility improvement was evaluated using a normalized sub band enveloped correlation (nSec). Overall results showed that the proposed approach produces slightly improved speech intelligibility at low SNR value.
Query Operation in Trader Service: LDAP Directory versus Database
Authors: Muchtar Farkhana , Lukuman Saheed Ajibade , Helmy Abd Wahab Mohd , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
This study inspects the capability of LDAP in improving the performance of query operation in the trading service. Thus, an experiment is conducted to distinguish the performance result gained from a trading service which uses LDAP with a trading service that uses relational database as its backend storage. From the outcome of the experiment conducted, we verified that a trading service that use LDAP provide a better performance as compared to a trading service that relational database.
Application Research of Mathematical Model in Tallo River Flood Analysis
Authors: Triselia Guhar Maria , Saleh Pallu Muhammad , Putra Hatta Mukhsan 
Published: September 2020

Abstract
Rivers are natural elements, and rivers play an important role in shaping the style of the community. The Tallo River in Makassar has advantages in economy, entertainment and transportation. But almost every year, the area along the river is always flood. this probelm can be solved by examine the phenomena and conditions of the level of flood watersheds vulnerability using hydrological approach through Muskingum kinematic methods, which is a common flood routing methods. By approaching the hydrological conditions of the Tallo river watershed, the results of this study are expected to provide the best alternative treatment options. The flood discharge value is executed based on the rainfall data that collected from three stations along the river namely Hasanuddin, Malino and Senre. After that, the flood discharge plan is conducted to obtaing the outflow value by using the inflow value through Muskingum method. The length of the river considered in this study is about 20 km, and it is divided into 5 segments every 4 km. The x value is between 0.1 and 0.3, and the K value is between 0.16-0.57. The obtained maximum flood discharge from the Muskingum calculation for the 2-year return period occurred at 801,330 m3/sec with an X value = 0.1 and K = 0.58.
Soap Making Machine Development For Home Appliances
Authors: Maidin N.A. , Rahman M.H.A , Ahmad M.N. , Osman M.H. , Wahid M.K. , Ahmad U.H. , Tan H.S. , Anuar N.F.B.W. 
Published: September 2020

Abstract
Nowadays, most of the time people will using cooking oil to bake, fry and other type of cooking. There are many types of cooking oil such as olive oil, palm oil, canola oil, vegetable oil and etc. Normally, only two or three times the oil can be used for fry. After that, the oil will throw away. The disposal of used cooking oil is an important factor for the waste-management. Most people will dump the used cooking oil in the kitchen sink. This will led to blockage to the pipe and contaminate water. Without people realise, used cooking oil can be recycled in to soap for general purposes. The aim of this research is to develop a semi-automatic machine for making soap by using used cooking oil as main ingredients. There were a lots of process involved such as how to gain the voice of customer (VOC), concept selection, detail design, fabrication and testing process in order to verify the quality and time taken to produce the soaps. This machine can be used in every kitchen of household and not for mass production. Meanwhile, user can make their own soap for general purpose such as to wash floor, car and drain. Moreover, this can save environment.
Simulation Study of Metamaterial Effect towards Ultra Wide Band Antenna
Authors: Amirah Othman Nur , Aminudin Jamlos Mohd , Azani Mustafa Wan , Zulkarnain Syed Idrus Syed 
Published: September 2020

Abstract
In this paper, the design of a metamaterial ultra-wideband (UWB) antenna with a goal towards application in microwave imaging systems for detecting unwanted cells in human tissue, such as in cases of breast cancer, heart failure and brain stroke detection is proposed. The metamaterial unit cell is constructed using circular split ring resonator (CSRR) technique and wire, to attain a design layout that simultaneously exhibits both a negative magnetic permeability and a negative electrical permittivity and attached as superstrate in front of the UWB antenna. This design results in an astonishing negative refractive index that enables amplification of the radiated power of this reported antenna, and therefore, high antenna performance. A Rogers (RT5880) substrate material is used to design and print this reported antenna, and has the following characteristics: thickness of 0.51 mm, relative permeability of one, relative permittivity of 2.70 and loss tangent of 0.02. The metamaterial antenna is design to be operated at frequency between 300MHz to 30GHz which is suitable for biomedical application such as Microwave Imaging. The overall metamaterial antenna size is 90 mm × 50 mm × 0.51 mm. The design and simulation has been carried out using Computer Simulation Technology Microwave Studio (CST MWS).
Hybrid Bacterial Foraging Sine Cosine Algorithm for Solving Global Optimization Problems
Authors: Mohammad Shuhairie , Nor Kasruddin Nasir Ahmad , Abdul Ghani Nor Maniha , Mohd Taufika Raja Ismail Raja , Azwan Abd Razak Ahmad , Falfazli Mat Jusof Mohd , Amira Mhd Rizal Nurul 
Published: September 2020

Abstract
This paper proposes a new hybrid algorithm between Bacterial Foraging Algorithm (BFA) and Sine Cosine Algorithm (SCA) called Hybrid Bacterial Foraging Sine Cosine Algorithm (HBFSCA) to solve global optimization problems. The proposed HBFSCA algorithm synergizes the strength of BFA to avoid local optima with the adaptive step-size and highly randomized movement in SCA to achieve higher accuracy compared to its original counterparts. The performances of the proposed algorithm have been investigated on a set of single-objective minimization problems consist of 30 benchmark functions, which include unimodal, multimodal, hybrid, and composite functions. The results obtained from the test functions prove that the proposed algorithm outperforms its original counterparts significantly in terms of accuracy, convergence speed, and local optima avoidance.
The Framework for Android Apps Testing using Mutation Technique
Authors: Arshad Javed Muhammad , Ibrahim Rosziati , Abdul Wahab Jahari 
Published: September 2020

Abstract
This paper presents the framework for Android apps testing using mutation technique. A systematic comparative analysis is done based on various approaches and techniques formutation testing. The analysis examines the development of research on this subject and its inspiring objectives and practices. Using comparative analysis, the framework exhibits that Android mutation testing can create assessment cases that are very efficient at distinguishing both naturally happening errors and crowd-sourced errors for Android apps. The framework can be used as a basis to test the Android apps using mutation technique.
Infrastructure and perceptions of democracy in Zambia: Democracy off the rails
Authors: Hern Erin Accampo 
Published: September 2020

ABSTRACT
In Zambia, some people describe their political participation as a way to transmit ideas and hold politicians accountable, while others explain their participation as a bid for resources or personal assistance. These differences follow a geographic trend, with residents of remote areas more likely to focus on substantive material gain. What accounts for this geographic variation? I argue that the centre/periphery distinction within the country influences the way people understand democracy. People living centrally are more likely to hold a procedural understanding of democracy and value democratic rules and process, while people living peripherally are more likely to hold a substantive understanding of democracy and view periodic acts like voting as a bid for resources. I employ geocoded Afrobarometer data alongside 92 original semi-structured interviews to demonstrate that those living further from Zambia’s central rail line are less likely to hold procedural understandings of democracy. I explore several mechanisms that could drive this difference, including homogeneity of remote communities and increased reliance on traditional leaders in peripheral areas. Divergent understandings of democracy between more and less remote denizens have important implications for the future of democratic regimes.
Discharge after hip fracture surgery by mobilisation timing: secondary analysis of the UK National Hip Fracture Database
Authors: Sheehan Katie J , Goubar Aicha , Almilaji Orouba , Martin Finbarr C , Potter Chris , Jones Gareth D , Sackley Catherine , Ayis Salma 
Published: September 2020

Abstract

Objective
To determine whether mobilisation timing was associated with the cumulative incidence of hospital discharge by 30 days after hip fracture surgery, accounting for potential confounders and the competing risk of in-hospital death.

Method
We examined data for 135,105 patients 60 years or older who underwent surgery for nonpathological first hip fracture between 1 January 2014 and 31 December 2016 in any hospital in England or Wales. We tested whether the cumulative incidences of discharge differed between those mobilised early (within 36 h of surgery) and those mobilised late, accounting for potential confounders and the competing risk of in-hospital death.

Results
A total of 106,722 (79%) of patients first mobilised early. The average rate of discharge was 39.2 (95% CI 38.9–39.5) per 1,000 patient days, varying from 43.1 (95% CI 42.8–43.5) among those who mobilised early to 27.0 (95% CI 26.6–27.5) among those who mobilised late, accounting for the competing risk of death. By 30-day postoperatively, the crude and adjusted odds ratios of discharge were 2.36 (95% CI 2.29–2.43) and 2.08 (95% CI 2.00–2.16), respectively, among those who first mobilised early compared with those who mobilised late, accounting for the competing risk of death.

Conclusion
Early mobilisation led to a 2-fold increase in the adjusted odds of discharge by 30-day postoperatively. We recommend inclusion of mobilisation within 36 h of surgery as a new UK Best Practice Tariff to help reduce delays to mobilisation currently experienced by one-fifth of patients surgically treated for hip fracture.