Search results for: support function

Authors: An-an Chiu, Shaio Yan Huang, Ling-Na Chen, Wei-Hua Lin

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Research has primarily focused on listed companies, less is done regarding small and medium-sized enterprises. Under the authorities' support, Taipei Exchange (TPEx) started Go Incubation Board for Startup and Acceleration Firms (GISA) in January 2014. This platform is designed to help small-sized innovative companies grow and to enter the capital market in the future. This research yield insight into earnings management activities around seasoned equity offerings (SEO) based on Taiwan’s GISA firms and the effectiveness of external corporate governance. Data for the study come from the GISA Market Observation Post System from January 2014 to December 2016. The result finds that GISA firms prone to upward accrual-based earnings management during SEO to avoid long-term negative consequences. Especially, firms with paid-in capital more than NT$ 30 million, higher fundraising amounts, or smaller-sized firms, tend to increase discretionary accruals. Finally, consistent with prior literature, CPA firms effectively serve as the role of external corporate governances on mitigating earnings management.

Keywords: GISA, earnings　management, CPA, seasoned equity offerings

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Authors: Qazi Umer Jamil, Abubakr Siddique, Mubeen Ur Rehman, Nida Aziz, Mohsin I. Tiwana

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This paper discusses a brain controlled robotic gait trainer for neurorehabilitation of Spinal Cord Injury (SCI) patients. Patients suffering from Spinal Cord Injuries (SCI) become unable to execute motion control of their lower proximities due to degeneration of spinal cord neurons. The presented approach can help SCI patients in neuro-rehabilitation training by directly translating patient motor imagery into walkers motion commands and thus bypassing spinal cord neurons completely. A non-invasive EEG based brain-computer interface is used for capturing patient neural activity. For signal processing and classification, an open source software (OpenVibe) is used. Classifiers categorize the patient motor imagery (MI) into a specific set of commands that are further translated into walker motion commands. The robotic walker also employs fall detection for ensuring safety of patient during gait training and can act as a support for SCI patients. The gait trainer is tested with subjects, and satisfactory results were achieved.

Keywords: brain computer interface (BCI), gait trainer, spinal cord injury (SCI), neurorehabilitation

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Authors: S. Sakthivel

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Currently, the global economy is based on the hydrocarbon economy, which is referencing the global hydrocarbon industry. Problems of using these fossil fuels (like oil, NG, coal) are emitting greenhouse gases (GHGs) and price fluctuation, supply/distribution, etc. These challenges can be overcome by using clean energy as hydrogen. The hydrogen economy is the use of hydrogen as a low carbon fuel, particularly for hydrogen vehicles, alternative industrial feedstock, power generation, and energy storage, etc. Engineering consulting firms have a significant role in this ambition and green hydrogen value chain (i.e., integration of renewables, production, storage, and distribution to end-users). Typically, the cost of green hydrogen is a function of the price of electricity needed, the cost of the electrolyser, and the operating cost to run the system. This article focuses on economic viability and explores the alluring business scenarios globally. Break-even analysis was carried out for green hydrogen production and in order to evaluate and compare the impact of the electricity price on the production costs of green hydrogen and relate it to fossil fuel-based brown/grey/blue hydrogen costs. It indicates that the cost of green hydrogen production will fall drastically due to the declining costs of renewable electricity prices and along with the improvement and scaling up of electrolyser manufacturing. For instance, in a scenario where electricity prices are below US$ 40/MWh, green hydrogen cost is expected to reach cost competitiveness.

Keywords: green hydrogen, cost analysis, break-even analysis, renewables, electrolyzer

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Authors: Temitayo Olaitan

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There is a growing concern about the quality of Nigerian tertiary education. This paper maintains that quality in tertiary education relates to the development of intellectual independence, which sharpens the minds of the individual and helps transform the society economically, socially and politically. However, the paper underscores underfunding as a critical challenge to the quality of teaching and learning in tertiary education. To this end, this paper emphasizes the role of internally generated revenue (IGR) and other alternative funding strategies (public-private partnership) as inevitable for quality tertiary education. This paper hinges on stakeholders approach as a means of ensuring quality teaching and learning in tertiary education. This paper recommends that school managers should seek professional and more efficient ways of developing their revenue generating systems. It also recommends that institutions should restructure to accommodate an alternative funding strategy such as private/corporate sponsorship to ensure that sustainable initiatives are created. The paper concludes that Nigerian government should come up with a policy on how private sectors should support in improving the quality of tertiary education through active participation in funding and physical facilities development in Nigerian higher institutions of learning.

Keywords: alternative funding, budgetary allocation, quality education, tertiary education

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Authors: Rosangliana Chawngthu, Ramkumar K. Thapa

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A model calculation of photoassisted field emission current (PFEC) by using transfer Hamiltonian method will be present here. When the photon energy is incident on the surface of the metals, such that the energy of a photon is usually less than the work function of the metal under investigation. The incident radiation photo excites the electrons to a final state which lies below the vacuum level; the electrons are confined within the metal surface. A strong static electric field is then applied to the surface of the metal which causes the photoexcited electrons to tunnel through the surface potential barrier into the vacuum region and constitutes the considerable current called photoassisted field emission current. The incident radiation is usually a laser beam, causes the transition of electrons from the initial state to the final state and the matrix element for this transition will be written. For the calculation of PFEC, transfer Hamiltonian method is used. The initial state wavefunction is calculated by using Kronig-Penney potential model. The effect of the matrix element will also be studied. An appropriate dielectric model for the surface region of the metal will be used for the evaluation of vector potential. FORTRAN programme is used for the calculation of PFEC. The results will be checked with experimental data and the theoretical results.

Keywords: photoassisted field emission, transfer Hamiltonian, vector potential, wavefunction

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Authors: Samuel Onyekachi Chidi

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Nigeria today faces more internal threats stemming from ethnic and religious conflicts than external sources. This article seeks to examine the ethno-religious conflicts in Nigeria from 2015 to 2021 and their impact on national security. The research was guided by six objectives. The theoretical framework adopted for this study is Structural Conflict Theory, which provides an adequate explanation, a predictive rationale for the frequent occurrence of ethno-religious conflicts and a tendency to provide the necessary insight for their resolution. The results of the study revealed that there is a strong relationship between ethnicity, religion, conflict and national security and that the ethno-religious conflicts experienced in Nigeria have gross implications for national security. The study recommends that the secularity of the Nigerian state be restored and preserved and that the state of origin be removed and replaced by the state of residence in all our national documents, as this will reduce ethnic identity, which is in opposition to nationalism. Religious leaders, traditional rulers, the media and other stakeholders should support the government in its fight to reduce ethno-religious conflict by sensitizing its youth, preaching unity and peaceful coexistence, and discouraging the use of violence as a means of settling disputes between groups and individuals.

Keywords: ethnicity, religion, conflict, national security

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Authors: Qinghui Li, Lei Zhang

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In China, sport will play a more important role in the future development of the national economy, are facing greater challenges. Sports industry development in this background,innovative technology and cultural forces which will play an important role. Therefore, as a guide of sports culture, the development of science and technology, display the sports scientific and technological achievements, culture showed important - Sports Academic Journals sports technology platform of talent, but also innovation and value-added will through its value function,play an important role in the development of China's sports development and sports industry. At the same time, in the Chinese academic journals of social environment has undergone great changes,one aspect is the national news publishing system reform, change, development group of scientific publishing market has become the mainstream trend of development; on the other hand, digitalization, internationalization development speed of academic journal soon, in such a social background, how sports academic journal of development? How to serve for the development of sports? This research will be based on the sports academic journals in the past, the development status and characteristics and now plays in the history and context of modern academic value and social value, to explore the new era background, especially the development of the reform of the cultural system, marketization and the digital innovation situation of sports academic periodical show in sports, sports industry development and play a more important role in study.

Keywords: sports academin journals, strong sporting nation, innovation, China

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Authors: Luedech Girdwichai, Ratchasak Sannok, Jeeranan Wueamprakhon

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This research aims to study reasons for study of Evening Class Students, Faculty of Industrial Technology, Suan Sunandha Rajabhat University. Population is special program students of the Faculty of Industrial Technology, Suan Sunandha Rajabhat University enrolled in academic year B.E. 2012. Data were collected in February 2013 from 98 students. Tool used in this research was questionnaire. Data were analyzed by statistics: percentage, mean, and standard deviation, using a computer program. The results revealed that: 1. Most of the special program students have monthly income between 10,001–20,000 Baht. Majority of the students were private company employees, working in operational level. They were mainly single and the commuting distance to the university is between 10-30 kilometers. 2. Reasons for enrolling of special program students of the Faculty of Industrial Technology, namely, career, self advancement, personal reasons and support from others received high scores. 3. Problems identified such as facilities, services, learning media and the content of the course received average scores.

Keywords: reasons, evening class students, Faculty of Industrial Technology, Suan Sunandha Rajabhat University

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Authors: Fatiha Besahraoui, M'hamed Guezzoul, Kheira Chebbah, M'hamed Bouslama

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SnO₂ thin film is characterized by Atomic Force Microscopy (AFM) and Photoluminescence Spectroscopies. AFM images show a dense surface of columnar grains with a roughness of 78.69 nm. The PL measurements at 7 K reveal the presence of PL peaks centered in IR and visible regions. They are attributed to radiative transitions via oxygen vacancies, Sn interstitials, and dangling bonds. A bands diagram model is presented with the approximate positions of intrinsic point defect levels in SnO₂ thin films. The integrated PL measurements demonstrate the good thermal stability of our sample, which makes it very useful in optoelectronic devices functioning at room temperature. The unusual behavior of the evolution of PL peaks and their full width at half maximum as a function of temperature indicates the thermal sensitivity of the point defects present in the band gap. The shallower energy levels due to dangling bonds and/or oxygen vacancies are more sensitive to the temperature. However, volume defects like Sn interstitials are thermally stable and constitute deep and stable energy levels for excited electrons. Small redshifting of PL peaks is observed with increasing temperature. This behavior is attributed to the reduction of oxygen vacancies.

Keywords: transparent conducting oxide, photoluminescence, intrinsic point defects, semiconductors, oxygen vacancies

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Authors: Asifa Amara, Prachi Singh, Kanishka, Debargho Pathak, Akshat Kumar, Jayakumar Eravelly

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Today's generation is totally dependent on technology that uses data as its fuel. The present study is all about innovations and developments in data science and gives an idea about how efficiently to use the data provided. This study will help to understand the core concepts of data science. The concept of artificial intelligence was introduced by Alan Turing in which the main principle was to create an artificial system that can run independently of human-given programs and can function with the help of analyzing data to understand the requirements of the users. Data science comprises business understanding, analyzing data, ethical concerns, understanding programming languages, various fields and sources of data, skills, etc. The usage of data science has evolved over the years. In this review article, we have covered a part of data science, i.e., machine learning. Machine learning uses data science for its work. Machines learn through their experience, which helps them to do any work more efficiently. This article includes a comparative study image between human understanding and machine understanding, advantages, applications, and real-time examples of machine learning. Data science is an important game changer in the life of human beings. Since the advent of data science, we have found its benefits and how it leads to a better understanding of people, and how it cherishes individual needs. It has improved business strategies, services provided by them, forecasting, the ability to attend sustainable developments, etc. This study also focuses on a better understanding of data science which will help us to create a better world.

Keywords: data science, machine learning, data analytics, artificial intelligence

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Authors: C. Manjula, Lilly Florence

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Software technology is developing rapidly which leads to the growth of various industries. Now-a-days, software-based applications have been adopted widely for business purposes. For any software industry, development of reliable software is becoming a challenging task because a faulty software module may be harmful for the growth of industry and business. Hence there is a need to develop techniques which can be used for early prediction of software defects. Due to complexities in manual prediction, automated software defect prediction techniques have been introduced. These techniques are based on the pattern learning from the previous software versions and finding the defects in the current version. These techniques have attracted researchers due to their significant impact on industrial growth by identifying the bugs in software. Based on this, several researches have been carried out but achieving desirable defect prediction performance is still a challenging task. To address this issue, here we present a machine learning based hybrid technique for software defect prediction. First of all, Genetic Algorithm (GA) is presented where an improved fitness function is used for better optimization of features in data sets. Later, these features are processed through Decision Tree (DT) classification model. Finally, an experimental study is presented where results from the proposed GA-DT based hybrid approach is compared with those from the DT classification technique. The results show that the proposed hybrid approach achieves better classification accuracy.

Keywords: decision tree, genetic algorithm, machine learning, software defect prediction

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Authors: G. Sevilla, S. Zapata, F. Giraldo, E. Torres, C. Collazos

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This work describes a framework for teaching of global software engineering (GSE) in university undergraduate programs. This framework proposes a method of teaching that incorporates adequate techniques of software requirements elicitation and validated tools of communication, critical aspects to global software development scenarios. The use of proposed framework allows teachers to simulate small software development companies formed by Latin American students, which build information systems. Students from three Latin American universities played the roles of engineers by applying an iterative development of a requirements specification in a global software project. The proposed framework involves the use of a specific purpose Wiki for asynchronous communication between the participants of the process. It is also a practice to improve the quality of software requirements that are formulated by the students. The additional motivation of students to participate in these practices, in conjunction with peers from other countries, is a significant additional factor that positively contributes to the learning process. The framework promotes skills for communication, negotiation, and other complementary competencies that are useful for working on GSE scenarios.

Keywords: requirements analysis, distributed requirements engineering, practical experiences, collaborative support

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Authors: Abdullah Abu-Tineh, Hissa Sadiq, Fatma Al-Mutawah, Youmen Chaaban

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The past 20 years have seen a proliferation of empirical research into various licensure systems. Extensive quantitative work investigates these systems of appraisal from different countries, but there is far less research on the implementation of the Qatari licensure system and the adoption of professional standards. In this paper, we provided a quantitatively and qualitatively descriptive look at the process that moves educators from their point of entry into the profession through their certification as accomplished professionals. Specifically, we focused on the perceptions of teachers and school leaders on the licensure system currently adopted by Ministry of Education and Higher Education in Qatar. The paper aims to inform progress towards a system of reliable, valid, and nationally appropriate teacher and school leader evaluation procedures. Such a system can support decision-making based on a common, comprehensive set of standards that ensures the placement of only the most effective educators in Qatari schools. This paper was made possible by NPRP grant # (NPRP7-1224-5-178) from the Qatar national research fund (a member of Qatar foundation) to Abdullah M. Abu-Tineh. The statements made herein are solely the responsibility of the author.

Keywords: licensure system, professional standards, professional portfolio, educator voice

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Authors: Tomasz Borowski, Dawid Sołoducha, Rafał Rakoczy, Marian Kordas

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The application of magnetic field is essential for a wide range of technologies or processes (i.e., magnetic hyperthermia, bioprocessing). From the practical point of view, bioprocess control is often limited to the regulation of temperature at constant values favourable to microbial growth. The main aim of this study is to determine the effect of various types of electromagnetic fields (i.e., static or alternating) on the heat transfer in a self-designed magnetically assisted reactor. The experimental set-up is equipped with a measuring instrument which controlled the temperature of the liquid inside the container and supervised the real-time acquisition of all the experimental data coming from the sensors. Temperature signals are also sampled from generator of magnetic field. The obtained temperature profiles were mathematically described and analyzed. The parameters characterizing the response to a step input of a first-order dynamic system were obtained and discussed. For example, the higher values of the time constant means slow signal (in this case, temperature) increase. After the period equal to about five-time constants, the sample temperature nearly reached the asymptotic value. This dynamical analysis allowed us to understand the heating effect under the action of various types of electromagnetic fields. Moreover, the proposed mathematical description can be used to compare the influence of different types of magnetic fields on heat transfer operations.

Keywords: heat transfer, magnetically assisted reactor, dynamical analysis, transient function

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Authors: J. B. Minari, O. B. Oloyede

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Polymorphonuclear neutrophils (PMNs) play a crucial role in a variety of infections caused by bacteria, fungi, and parasites. Indeed, the involvement of PMNs in host defence against Plasmodium falciparum is well documented both in vitro and in vivo. Many of the antimalarial drugs such as chloroquine used in the treatment of human malaria significantly reduce the immune response of the host in vitro and in vivo. Myeloperoxidase is the most abundant enzyme found in the polymorphonuclear neutrophil which plays a crucial role in its function. This study was carried out to investigate the effect of chloroquine on the enzyme. In investigating the effects of the drug on myeloperoxidase, the influence of concentration, pH, partition ratio estimation and kinetics of inhibition were studied. This study showed that chloroquine is concentration-dependent inhibitor of myeloperoxidase with an IC50 of 0.03 mM. Partition ratio estimation showed that 40 enzymatic turnover cycles are required for complete inhibition of myeloperoxidase in the presence of chloroquine. The influence of pH on the effect of chloroquine on the enzyme showed significant inhibition of myeloperoxidase at physiological pH. The kinetic inhibition studies showed that chloroquine caused a non-competitive inhibition with an inhibition constant Ki of 0.27mM. The results obtained from this study shows that chloroquine is a potent inhibitor of myeloperoxidase and it is capable of inactivating the enzyme. It is therefore considered that the inhibition of myeloperoxidase in the presence of chloroquine as revealed in this study may partly explain the impairment of polymorphonuclear neutrophil and consequent immunosuppression of the host defence system against secondary infections.

Keywords: myeloperoxidase, chloroquine, inhibition, neutrophil, immune

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Authors: Pooja Rani, G. S. Mahapatra, S. K. Pandey

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In this paper, we propose a novel approach of Neural Network and Particle Swarm Optimization methods for software reliability prediction. We first explain how to apply compound function in neural network so that we can derive a Flexible Logistic (S-shaped) Growth Curve (FLGC) model. This model mathematically represents software failure as a random process and can be used to evaluate software development status during testing. To avoid trapping in local minima, we have applied Particle Swarm Optimization method to train proposed model using failure test data sets. We drive our proposed model using computational based intelligence modeling. Thus, proposed model becomes Neuro-Particle Swarm Optimization (NPSO) model. We do test result with different inertia weight to update particle and update velocity. We obtain result based on best inertia weight compare along with Personal based oriented PSO (pPSO) help to choose local best in network neighborhood. The applicability of proposed model is demonstrated through real time test data failure set. The results obtained from experiments show that the proposed model has a fairly accurate prediction capability in software reliability.

Keywords: software reliability, flexible logistic growth curve model, software cumulative failure prediction, neural network, particle swarm optimization

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Authors: A. Al-Juboori, D. Wexler, H. Li, H. Zhu, C. Lu, A. McCusker, J. McLeod, S. Pannila, Z. Wang

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Squats are a type railhead defect related to rolling contact fatigue (RCF) damage and are considered serious problem affecting a wide range of railway networks across the world. Squats can lead to partial or complete rail failure. Formation mechanics of squats on the surface of rail steel is still a matter of debate. In this work, structural and microstructural observations from ex-service damaged rail both confirms the phases present in white etching layer (WEL) regions and relationship between cracking in WEL and squat defect formation. XRD synchrotron results obtained from the top surfaces of rail regions containing both WEL and squat defects reveal that these regions contain both martensite and retained austenite. Microstructural analysis of these regions revealed the occurrence cracks extending from WEL down into the rail through the squat region. These findings obtained from field rail specimen support the view that WEL contains regions of austenite and martensitic transformation product, and that cracks in this brittle surface layer propagate deeper into the rail as squats originate and grow.

Keywords: squat, white etching layer, rolling contact fatigue, synchrotron diffraction

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Authors: Zhou Luchen, Wu Yubing, Burra Venkata Durga Kumar

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As the scale of the network becomes larger and more complex than before, the density of user devices is also increasing. The development of Unmanned Aerial Vehicle (UAV) networks is able to collect and transform data in an efficient way by using software-defined networks (SDN) technology. This paper proposed a three-layer distributed and dynamic cluster architecture to manage UAVs by using an AI-based resource allocation calculation algorithm to address the overloading network problem. Through separating services of each UAV, the UAV hierarchical cluster system performs the main function of reducing the network load and transferring user requests, with three sub-tasks including data collection, communication channel organization, and data relaying. In this cluster, a head node and a vice head node UAV are selected considering the Central Processing Unit (CPU), operational (RAM), and permanent (ROM) memory of devices, battery charge, and capacity. The vice head node acts as a backup that stores all the data in the head node. The k-means clustering algorithm is used in order to detect high load regions and form the UAV layered clusters. The whole process of detecting high load areas, forming and selecting UAV clusters, and moving the selected UAV cluster to that area is proposed as offloading traffic algorithm.

Keywords: k-means, resource allocation, SDN, UAV network, unmanned aerial vehicles

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Authors: Reza Mohammadi, Mahmod R. Sahebi, Mehrnoosh Omati, Milad Vahidi

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Classification of high resolution polarimetric Synthetic Aperture Radar (PolSAR) images plays an important role in land cover and land use management. Recently, classification algorithms based on Bag of Visual Words (BOVW) model have attracted significant interest among scholars and researchers in and out of the field of remote sensing. In this paper, BOVW model with pixel based low-level features has been implemented to classify a subset of San Francisco bay PolSAR image, acquired by RADARSAR 2 in C-band. We have used segment-based decision-making strategy and compared the result with the result of traditional Support Vector Machine (SVM) classifier. 90.95% overall accuracy of the classification with the proposed algorithm has shown that the proposed algorithm is comparable with the state-of-the-art methods. In addition to increase in the classification accuracy, the proposed method has decreased undesirable speckle effect of SAR images.

Keywords: Bag of Visual Words (BOVW), classification, feature extraction, land cover management, Polarimetric Synthetic Aperture Radar (PolSAR)

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Authors: Tariq Ali Gujar, Anita Hökelmann

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Postural balance plays essential role throughout life in daily activities. Somatosensory, visual and vestibular inputs play the fundamental role in maintaining body equilibrium to balance the posture. The aim of this study was to find out electroencephalography (EEG) responses during balance activity of young people during Sensory Organization Balance Test. The outcome of this study will help to create the fitness and neurorehabilitation plan. 25 young people (25 ± 3.1 years) have been analyzed on Balance Master NeuroCom® with the coupling of Brain Vision 32 electrode wireless EEG system during the Sensory Organization Test. From the results it has been found that the balance score of samples is significantly higher under the influence of somatosensory input as compared to visual and vestibular input (p < 0.05). The EEG between somatosensory and visual input to balance the posture showed significantly higher (p < 0.05) alpha and beta activities during somatosensory input in somatosensory, attention and visual functions of the cortex whereas executive and motor functions of the cerebral cortex showed significantly higher (p < 0.05) alpha EEG activity during the visual input. The results suggest that somatosensory and attention function of the cerebral cortex has alpha and beta activity, respectively high during somatosensory and vestibular input in maintaining balance. In patients with balance impairments both physical and cognitive training, including neurofeedback will be helpful to improve balance abilities.

Keywords: balance, electroencephalography activity, somatosensory, visual, vestibular

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Authors: Jin Ho Kim, Yujeong Shin, Seong-Jin Cho, Dong-Jin Kim, U-Syn Ha

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Due to the development of the information industry and technologies, cellular phones have must not only function to communicate, but also have functions such as the Internet, e-banking, entertainment, etc. These phones are called smartphones. The performance of smartphones has improved, because of the various functions of smartphones, and the capacity of the battery has been increased gradually. Recently, linear generators have been embedded in smartphones in order to recharge the smartphone's battery. In this study, optimization is performed and an array change of permanent magnets is examined in order to increase efficiency. We propose an optimal design using design of experiments (DOE) to maximize the generated induced voltage. The thickness of the poleshoe and permanent magnet (PM), the height of the poleshoe and PM, and the thickness of the coil are determined to be design variables. We made 25 sampling points using an orthogonal array according to four design variables. We performed electromagnetic finite element analysis to predict the generated induced voltage using the commercial electromagnetic analysis software ANSYS Maxwell. Then, we made an approximate model using the Kriging algorithm, and derived optimal values of the design variables using an evolutionary algorithm. The commercial optimization software PIAnO (Process Integration, Automation, and Optimization) was used with these algorithms. The result of the optimization shows that the generated induced voltage is improved.

Keywords: smartphone, linear generator, design of experiment, approximate model, optimal design

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Authors: Rajani S. Pujar, Pandurangarao N. Kulkarni

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Increased temporal masking affects the speech perception in persons with sensorineural hearing impairment especially under adverse listening conditions. This paper presents a cascaded scheme, which employs a noise reduction algorithm as well as temporal splitting of the speech signal. Earlier investigations have shown that by splitting the speech temporally and presenting alternate segments to the two ears help in reducing the effect of temporal masking. In this technique, the speech signal is processed by two fading functions, complementary to each other, and presented to left and right ears for binaural dichotic presentation. In the present study, half cosine signal is used as a fading function with crossover gain of 6 dB for the perceptual balance of loudness. Temporal splitting is combined with noise reduction algorithm to improve speech perception in the background noise. Two noise reduction schemes, namely spectral subtraction and Wiener filter are used. Listening tests were conducted on six normal-hearing subjects, with sensorineural loss simulated by adding broadband noise to the speech signal at different signal-to-noise ratios (∞, 3, 0, and -3 dB). Objective evaluation using PESQ was also carried out. The MOS score for VCV syllable /asha/ for SNR values of ∞, 3, 0, and -3 dB were 5, 4.46, 4.4 and 4.05 respectively, while the corresponding MOS scores for unprocessed speech were 5, 1.2, 0.9 and 0.65, indicating significant improvement in the perceived speech quality for the proposed scheme compared to the unprocessed speech.

Keywords: MOS, PESQ, spectral subtraction, temporal splitting, wiener filter

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Authors: Sona Lorencova, Beata Hornickova

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The study deals with the presentation of the results of qualitatively oriented research, the aim of which was to find out the attitudes of parents to the planned compulsory pre-school education in the Slovak Republic. The research was conceived as an entry into the field of the researched issue and its aim was to support the validity and effectiveness of items in the questionnaire, which was created based on the statements of parents. The research method was an interview with 15 parents whose children attended kindergarten. The main question of the interviews was to find out what are the parents' expectations from compulsory pre-school education, which will be compulsory in the Slovak Republic from 2021 for all 5-year-old children. From the introduction of compulsory pre-school education, the professional public expects in particular greater participation of children from marginalized Roma communities in pre-school education, as well as children from socially disadvantaged backgrounds, better preparation of children for primary school and better results in international testing. The research found that the expectations of parents are different and depend on their socio-economic status, in accordance with which they place greater importance on the upbringing and education of children. The findings from interviews with parents contributed to the formulation of items in the questionnaire, which will be distributed to parents whose children will attend compulsory pre-school education in the Slovak Republic from 2021.

Keywords: compulsory pre-school education, kindergarten, education of pre-school children, parental expectations from pre-school education

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Authors: Federico Hahn Schlam, Fermín Martínez Solís

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Leaf-cutting ants (Atta cephalotes) forage from mango tree leaves and flowers to feed their colony. Farmers find it difficult to control ants due to the great quantity of trees grown in commercial orchards. In this article, IoT can support farmers for ant detection in real time, as production losses can be considered of 324 US per tree.A wireless sensor network, WSN, was developed to warn the farmer from ant presence in trees during a night. Mango trees were gathered into groups of 9 trees, where the central tree holds the master microcontroller, and the other eight trees presented slave microcontrollers (nodes). At each node, anemitter diode-photodiode unitdetects ants climbing up. A capacitor is chargedand discharged after being sampled every ten minutes. The system usesBLE (Bluetooth Low Energy) to communicate between the master microcontroller by BLE.When ants were detected the number of the tree was transmitted via LoRa from the masterto the producer smartphone to warn him. In this paper, BLE, LoRa, and energy consumption were studied under variable vegetation in the orchard. During 2018, 19 trees were attacked by ants, and ants fed 26.3% of flowers and 73.7% of leaves.

Keywords: BLE, atta cephalotes, LoRa, WSN-smartphone, energy consumption

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Authors: Mohammad Mirzaei

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The term "modernism" is at the heart of debates about 20th-century literature and critical theory. Astradur Eysteinsson argues here that the notion of modernity does not emerge directly from the literature it encompasses but is actually a product of critical practices related to non-traditional literature. By intervening in and relating them to modernist works and contemporary literary theories, Esteinsson takes a comprehensive look at the idea of modernity. Eysteinsson critically examines various expressions of modernism in the rich spectrum of American, British, and European literature, criticism, and theory. He first explored a number of modernist paradigms and found a conflict between modernism's potential for cultural subversion and its relatively conservative status as a formalist project. In turn, he sees these paradigms as interpretations and inventions of literary history. Seen in this way, modernism presents both a historical change in the literary scene and the context of this change. Imbued with the connotations of tradition and modernity, modernity fulfills its primary function. Highlights and defines the complex relationship between history and post-realist literature. Eysteinsson focuses on how concepts of modernism guide our understanding of literature and literary history and how they influence the evaluation of experimental and 3post realist works in literature and art. He discusses in detail the relationship between modernism and the key terms postmodernism, avant-garde, and realism. In staging a crisis of subject and reference, modernity is not a form of discourse but its subversion, the "other" that may reveal important aspects of our social and linguistic experience in Western culture.

Keywords: literature, modernism, western cultures, postmodernism

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Authors: Kavitha Thamadharan, Nurazean Maarop

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The implementation of e-assessment as tool to support the process of teaching and learning in university has become a popular technological means in universities. E-Assessment provides many advantages to the users especially the flexibility in teaching and learning. The e-assessment system has the capability to improve its quality of delivering education. However, there still exists a drawback in terms of security which limits the user acceptance of the online learning system. Even though there are studies providing solutions for identified security threats in e-learning usage, there is no particular model which addresses the factors that influences the acceptance of e-assessment system by lecturers from security perspective. The aim of this study is to explore security aspects of e-assessment in regard to the acceptance of the technology. As a result a conceptual model of secure acceptance of e-assessment is proposed. Both human and security factors are considered in formulation of this conceptual model. In order to increase understanding of critical issues related to the subject of this study, interpretive approach involving convergent mixed method research method is proposed to be used to execute the research. This study will be useful in providing more insightful understanding regarding the factors that influence the user acceptance of e-assessment system from security perspective.

Keywords: secure technology acceptance, e-assessment security, e-assessment, education technology

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Authors: Qamar Iqbal

Abstract:

Companies strive to improve their forecasting methods to predict the fluctuations in customer demand. These fluctuation and variation in demand affect the manufacturing operations and can limit a company’s ability to fulfill customer demand on time. Companies keep the inventory buffer and maintain the stocking levels to reduce the impact of demand variation. A mid-size company deals with thousands of stock keeping units (skus). It is neither easy and nor efficient to control and manage each sku. Inventory classification provides a tool to the management to increase their ability to support customer demand. The paper presents a framework that shows how inventory classification can play a role to increase supply chain responsiveness. A case study will be presented to further elaborate the method both for build-to-order and build-to-forecast manufacturing environments. Results will be compared that will show which manufacturing setting has advantage over another under different circumstances. The outcome of this study is very useful to the management because this will give them an insight on how inventory classification can be used to increase their ability to respond to changing customer needs.

Keywords: inventory classification, supply chain responsiveness, forecast, manufacturing environment

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Authors: Juliet Ramohai

Abstract:

This paper explores how women departmental heads in higher education experience leadership in a time of the COVID-19 crises. The focus is mostly on their care and coping as they work in virtual spaces. Most scholars have looked at the effects and challenges that different employees face while working from home during a lockdown. However, very few take a dedicated focus on women in leadership and the coping mechanisms and resources that they use for effective leadership during this difficult time. The paper draws on two aspects of Sen’s Capabilities approach, functionings, and agency, to cast a closer understanding of the institutional and individual coping mechanisms that might be at these women's disposal. The qualitative approach used for this paper and a feminist lens provides a critical and in-depth understanding of the real-life stories of the women and how they make sense of their virtual leadership. Data for this paper was collected through semi-structured interviews with 10 women in the positions of head of departments and analysed thematically using capabilities approach concepts as an analytical tool. The findings in this paper indicate that functionings and freedoms are tightly linked to institutional ethnographies. These ethnographies might support or hamper coping for women leaders, especially during times of crisis.

Keywords: capability approach, women leaders, higher education, COVID-19

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Authors: Ling Choo Chiew, Yoke Yong Chen, Chuong Hock Ting, Raveca Ak Ridi

Abstract:

Job frustration become a prevalent issue in many occupational settings and is linked to mental state, which affects workers when they face obstacles that block them from meeting professional objectives and/or the organization's mission. This study examined the relationship between job frustration and mental health among healthcare workers. A cross-sectional design using the Compassion Satisfaction and Fatigue test (CSF), Copenhagen Burnout Inventory (CBI), and Psychological Flexibility Questionnaire (PFQ) was employed to collect data from a sample of healthcare workers in Sarawak, Malaysia. The results showed that 44.3 % of the healthcare workers experienced compassion fatigue, 9.7% of the healthcare workers had personal burnt out, 3% were work-related burnt out, and 2% were client-related burnt out. On the other hand, the mean of psychological flexibility was 3.55 (SD = 0.838), which was found to be prevalent in the study sample, with varying degrees of severity. The results also indicated a significant association between compassion fatigue and psychological flexibility, F(₄, ₄₈₉) = 5.45, p<.001. Additionally, demographic factors were associated with higher levels of job frustration and burnout. The implications of these findings for developing targeted interventions and support strategies to promote mental well-being among healthcare workers are discussed.

Keywords: compassion fatigue, healthcare worker, job frustration, psychological flexibility

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Authors: Csaba Barnabas Horvath

Abstract:

The Belt and Road initiative of China is one that can change the face of Eurasia as we know it. Instead of four major, densely populated subcontinents defined by Mackinder (East Asia, Europe, the Indian Subcontinent, and the Middle East) isolated from each other by vast, sparsely populated and underdeveloped regions, it can at last start to function as a geographic whole, with a sophisticated infrastructure linking its different parts to each other. This initiative, however, happens not in a geopolitical vacuum, but in a space of conflicting great power interests. In Central Asia, the influence of China and Russia are in a setting of competition, where despite the cooperation between the two powers to a great degree, issues causing mutual mistrust emerge repeatedly. In Afghanistan, besides western military presence, even India’s efforts can be added to the picture. In Southeast Asia, a key region regarding the maritime Silk Road, India’s Act East policy meets with China’s Belt and Road, not always in consensus, not to mention US and Japanese interests in the region. The presentation aims to take an overview on how conflicting great power interests are likely to influence the outcome of the Belt and Road initiative. The findings show, that overall success of the Belt and Road Initiative may not be as smooth, as hoped by China, but at the same time, in a limited number of strategically important countries (such as Pakistan, Laos, and Cambodia), this setting is actually a factor favoring China, providing at least a selected number of reliable corridors, where the initiative is actually likely to be successful.

Keywords: belt and road initiative, geostrategic corridors, geopolitics, great power rivalry

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