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29,939 Article Results

Determinants of health-related quality of life in Iranian patients after recovery from COVID-19: demographic influences and insomnia

10.11591/ijphs.v11i1.21039
Mohsen Saffari , Hormoz Sanaeinasab , Hojat Rashidi-Jahan , Amir Pakpour Hajiagha , Hosein Mahmoudi , Faten Al-Zaben , Harold George Koenig
The current study sought to identify factors that may affect health-related quality of life (HRQoL) in patients recovering from COVID-19 infection in Iran. In a cross-sectional study 258 patients diagnosed with COVID-19, participants completed a questionnaire approximately one month after hospital discharge when demographic and clinical factors (including insomnia) and HRQoL were assessed. A logistic regression was used. Age, gender, marital status, education, having child, early physician visit, early diagnosis, early hospitalization, symptom type, Rhesus factor, and level of insomnia were associated with various components of HRQoL (p<0.05). In multivariate analyses, poorer physical HRQoL was independently associated with female gender (OR=4.53; 95% CI=2.22-2.29), initial symptom of cough (OR=2.73; 95% CI=1.26-5.94), and insomnia (OR=2.74; 95% CI=1.22-6.14). Poorer mental HRQoL was associated with being age 40 years or older (OR=1.90; 95% CI=1.02-3.54), female gender (OR=2.48; 95% CI=1.26-4.88), initial symptom being cough (OR=3.12; 95% CI=1.46-6.68), and insomnia (sub-threshold insomnia, OR=3.19; 95% CI, 1.51-6.74, to severe insomnia, OR=3.86; 95% CI=1.35-11.07). Healthcare professionals should be aware that older people, female gender, those with initial symptom of cough, and insomnia may be at greater risk for poor quality of life following hospital discharge.
Volume: 11
Issue: 1
Page: 220-231
Publish at: 2022-03-01

Undiscovered voices: Motivation and demotivation factors in learning English among Indonesian orphan students

10.11591/ijere.v11i1.21262
Zidni Ma’ruf , Bambang Widi Pratolo , Okta Widia Sari , Arlischa Ardinengtyas
This qualitative descriptive research aimed to investigate factors of motivation and demotivation in learning English among Indonesian orphan students. There were eight participants who live and study in an Indonesian orphanage. They were randomly chosen in this research. The data were mainly collected through individual semi-structured interviews and focus group discussion (FGD) sections. All interviews and FGD sections data were recorded, transcribed, analyzed, and divided into several themes and subthemes. Further, member checking was done to develop the trustworthiness of the research. The research revealed that internal and external factors were positively related to motivation and demotivation in learning English among Indonesian orphan students. Further, suggestions and policy recommendations were all offered to related parties to support and give equal educational facilities to all students since they have the same right for education.
Volume: 11
Issue: 1
Page: 441-448
Publish at: 2022-03-01

Factors influencing males’ loyalty toward functional foods during the COVID-19 pandemic

10.11591/ijphs.v11i1.20886
Sik Sumaedi , Sumardjo Sumardjo , Amiruddin Saleh , Agus Fanar Syukri
Coronavirus disease 2019 (COVID-19) is a serious issue nowadays. Several studies showed that male was more vulnerable to COVID-19 than female. Functional food consumption can be used to overcome COVID-19 since it boosts someone’s immune system and reduces the risk of contracting non-communicable diseases simultaneously. It is important to improve males’ functional food loyalty during the COVID-19 pandemic. However, there is lack of research on males’ functional food loyalty during the COVID-19 pandemic. Given this, this research aims to test the effect of perceived threat of COVID-19, perceived benefit of functional food related to COVID-19, e-health literacy, digital health communication media usage, attitude toward functional food, functional food accessibility, and social influences-injunctive norm and descriptive norm–on males’ functional food loyalty during the COVID-19 pandemic. This study collected data through a survey. It involved 204 male respondents in Banten, Indonesia. This research found that males’ functional food loyalty during the COVID-19 pandemic was significantly and positively affected by attitude toward functional food, injunctive norm, food accessibility and digital health communication usage. However, males’ functional food loyalty was not significantly affected by the perceived threat of COVID-19, perceived benefit of functional food related to COVID-19, descriptive norm and e-health literacy.
Volume: 11
Issue: 1
Page: 121-128
Publish at: 2022-03-01

Comparative studies between public and private Islamic schools in the era of globalization

10.11591/ijere.v11i1.22182
Umi Kultsum , Muhammad Abrar Parinduri , Abdul Karim
The problem of decentralization is one of the main problems in madrasa modernization and independent learning. This is due to the difficult coordination and expensive learning processes being experienced. Therefore, this study aimed to determine the impact of the educational policy implementations on madrasa, with the existence of regional autonomy in Serang and Pandeglang Regencies, Indonesia. This qualitative study involved 10 participants, which contained district madrasa heads and supervisors, institutional managers, education staff, and teachers in Serang and Pandeglang. The utilized instruments were the interview protocol and observation sheet, with the data analysis being obtained through the Huberman and Miles's technique. This included reading, meaning, and data developed within the framework of the historical and ethnographic approach analysis. The results showed that there was no difference in the curriculum between public and private Islamic schools under the local government. The advantage was also observed for regional autonomy, regarding the emergence of superior, exemplary, regular, and vocational madrasas, respectively. However, the disadvantage of this policy was the difficulty in improving the quality of madrasa institutions, funding, and education personnel. These results indicated that all parties should contribute and supervise the implementation of autonomous education, to optimize the goals of each madrasa and achieve independent learning. Explicit rules are also needed regarding the understanding of discriminatory decentralization policies, especially in madrasa and other educational institutions.
Volume: 11
Issue: 1
Page: 421-430
Publish at: 2022-03-01

Fingerprint recognition based on collected images using deep learning technology

10.11591/ijai.v11.i1.pp81-88
Ali Fadhil Yaseen Althabhawee , Bashra Kadhim Oleiwi Chabor Alwawi
The fingerprint identification is the most widely used authentication system. The fingerprint uniqueness for each human being provides error-free identification. However, during the scanning process of the fingerprint, the generated image using the fingerprint scanner may differ slightly during each scan. This paper proposes an efficient matching model for fingerprint authentication using deep learning based deep convolutional neural network (CNN or ConvNet). The proposed deep CNN consists of fifteen layers and is classified into two stages. The first stage is preparation stage which includes the fingerprint images collection, augmentation and pre-processing steps, while the second stage is the features extraction and matching stage. Regarding the implantation results, the proposed system provided the best matching for the given fingerprint features. The obtained training accuracy of the proposed model is 100% for training dataset and 100% for validating dataset.
Volume: 11
Issue: 1
Page: 81-88
Publish at: 2022-03-01

Implementation of FaceNet and support vector machine in a real-time web-based timekeeping application

10.11591/ijai.v11.i1.pp388-396
Ly Quang Vu , Phan Thanh Trieu , Hoang-Sy Nguyen
This paper presents in detail how to build up and implement a real-time web-based face recognition application. The system works so that images of people are recorded and compared with the references on the database. If they match, the information about their presence will be recorded. As for the system architecture, the multi-task cascaded neural network was deployed for face detection. Followingly, for the recognizing tasks, we conducted a study to compare the accuracy level of three different face recognizing methods on three different public datasets by means of both the literature review and our simulation. From the comparison, it can be drawn that the FaceNet algorithm in-used with the support vector machine (SVM) classifier performs the best among others and is the most suitable candidate for the practical deployment. Eventually, the proposed system can deliver a highly satisfactory result, proving its potentials not only for the research but also the commercial purposes.
Volume: 11
Issue: 1
Page: 388-396
Publish at: 2022-03-01

Optimal economic dispatch using particle swarm optimization in Sulselrabar system

10.11591/ijai.v11.i1.pp221-228
Marhatang Marhatang , Muhammad Ruswandi Djalal
In this study, a particle swarm optimization (PSO) is proposed to optimize the cost of generating thermal plants in the South Sulawesi system. The study was con ducted by analyzing several methods using the lagrange and ant colony optimization (ACO). PSO algorithm converges on the 11th iteration algorithm with the lowest generation cost obtained, which is Rp129687962.17/hour. While the ACO algorithm converges on the 34th iteration with a generation cost of Rp131,473,269.39/hour. The results of optimization using PSO produce a total thermal power of 400.75 MW and losses of 26.15 MW. The PSO method is able to reduce the cost of generating the South Sulawesi system by Rp11,118,312.07/hour or 7.9%. While using the ACO method generates a generation cost of Rp131,473,269.39/hour to generate power of 400,812 MW with losses of 26,219 MW. The ACO method is able to reduce the cost of generating the South Sulawesi system by Rp9,333,004.9/hour or 6.62%. PSO algorithm provides the lowest cost calculation of generator compared with conventional methods and ACO smart methods. This is also shown in the calculation process, the PSO method completes calculations faster than the ACO method.
Volume: 11
Issue: 1
Page: 221-228
Publish at: 2022-03-01

Efficient data sensing and monitoring model for areca nut precision farming with wireless sensor network

10.11591/ijeecs.v25.i3.pp1549-1562
Niranjan Murthy Chandrashekarappa , Sanjay Pande Mysore Bhagwan , Kotreshi Shivabasappa Nagur
Arecanut plays a prominent role in economic life in India; it produces ‘betel nut’ which is primarily used for the masticatory purpose. Nutrient’s cycle and environmental factors impact the forming, these impacts can be minimized through sensing technology i.e., wireless sensor network incorporated with internet of things (IoT). Designing of sensing technologies is considered as primary steps in achieving the arecanut production through precision agriculture; This research focuses on designing and developing an efficient monitoring mechanism named efficient data sensing and monitoring (EDSM), the proposed model will minimize the energy, reduce the false alarm rate, and enhance the detection accuracy. EDSM comprises four-step optimal sensing mechanism; first, formulate the energy consumption, further in this step the sensor device information and all the preliminary details are analyzed. Second step, data are sensed optimally, third step includes monitored and alert is generated the fourth step includes the optimization of packet size. EDSM is evaluated considering the different parameters like energy consumption and alert generation for temperature. Performance comparison is carried out with the existing model considering parameters like fault detection, false alarm detection, event detection, and event false alarm rate. Comparative analysis shows proposed methodology simply outperforms the existing model with significant improvisation.
Volume: 25
Issue: 3
Page: 1549-1562
Publish at: 2022-03-01

Applications of internet of things for monitoring drivers-a comprehensive study

10.11591/ijeecs.v25.i3.pp1599-1606
Sumendra Yogarayan , Siti Fatimah Abdul Razak , Afizan Azman , Mohd. Fikri Azli Abdullah
Driving is a complex task that involves interacting adequately with the vehicle and the environmental changes simultaneously. Drivers' health is an essential factor in determining performance outcomes and enhancing road safety. It is a known reality that drivers with sudden health complications are most likely to be involved in road accidents and suffer several injuries. Besides that, drunk driving is another aspect of a significant public health issue, where drivers under the influence of alcohol show a clear vision loss and vehicle control. The internet of things (IoT) is a trendsetting advancement in which all sensor data can be collected in the cloud. In this paper, an active monitoring tool is developed to record the driver's heart rate if these readings reach vital values while on the move. Additionally, the tool monitors the driver's alcohol concentration, and if it rises beyond a certain threshold, an alarm is sent to the designated emergency contact. The tool has been tested and has been found to work satisfactorily.
Volume: 25
Issue: 3
Page: 1599-1606
Publish at: 2022-03-01

Oral participation practices in classroom among university students in Afghanistan

10.11591/ijere.v11i1.21865
Hamza Atifnigar , Hedayatullah Bawar , Malang Momand , Siti Aishah Abdul Hamid
This study aimed at exploring factors affecting classroom participation among students in the English department of Laghman University, Afghanistan. More precisely, this research discovered factors related to teachers and class-size that hinder students’ practice of oral participation in the classroom. In collecting the data, this study employed mixed-method research with concurrent design. An adapted questionnaire and a semi-structured interview have been used as the data collection instrument of this study. An online survey questionnaire was conducted with 110 respondents. In addition, a semi-structured interview was conducted with five of the respondents at the English Department of Laghman University. The data from the questionnaire was descriptively analyzed through using statistical package for social science (SPSS), and the semi-structured interview data were thematically analyzed and interpreted. The findings revealed that class-size related factor is the first influential factor in affecting oral participation among students and it is due to having large number students in a class. Teacher’s related factor is the second influential factor that affects the oral participation of students. Majority claimed that teachers’ approach, behavior, and qualification have prominent impact on their level of oral participation. Based on the finding, it can be seen that class-size related, and teachers’ factors affected oral participation of the students at the English Department of Laghman University. It is recommended that the Ministry of Higher Education of Afghanistan strive to decrease the number of students in each class and enforce teachers in implementing a student-centered learning approach while teaching.
Volume: 11
Issue: 1
Page: 409-420
Publish at: 2022-03-01

Modelling minicab drivers' disordered behaviour for choosing passenger and destination in Akure, Nigeria

10.11591/ijaas.v11.i1.pp19-28
Adetayo Olaniyi Adeniran , Olorunfemi Samuel , Njoku Ikpechukwu
This study investigated the disordered behaviour of minicab drivers for choosing passenger and destination in Akure using the multinomial model and nested logit model respectively. Information was gathered by the distribution of questionnaires to minicab drivers plying the Federal University of Technology Akure (FUTA) North gate to the Oja-Oba axis in Akure, Nigeria. The objectives were to validate the performance of logit models; to identify the major parameters for selecting passenger and destination by disordered minicab drivers, and to examine the interrelationships of variables employed. Primary data was obtained from 314 respondents. The study found that the nested logit model gives a better utility value than the multinomial logit model with ρ02 = 0.48 more than ρc2 = 0.46 which justifies the assertion. Also, the major parameters for selecting passengers and destination by disordered minicab drivers in Akure are transport rates variable, distance variable, and travel time variable. The study recommends that an accurate pricing policy of minicab operation should be efficiently formulated, implemented, and enacted to prevent overcharging and undercharging.
Volume: 11
Issue: 1
Page: 19-28
Publish at: 2022-03-01

Organizational safety climate and workplace violence among primary healthcare workers in Malaysia

10.11591/ijphs.v11i1.20929
Sudeash Rajakrishnan , Victor Hoe Chee Wai Abdullah , Nasrin Aghamohammadi
Workplace violence (WPV) has become a global safety and health concern in recent times particularly in the healthcare sector. In addition, low levels of organisational safety climate (OSC) have been associated with higher occurrence of occupational related health outcomes. Hence, the objective of this study was to determine the association between organisational safety climate and workplace violence among government primary healthcare workers. A cross-sectional study among a stratified random sample of 838 primary healthcare workers (HCW) from the nine district health offices under the Selangor state health department. Two standardized self-administered questionnaires were used to obtain data on WPV and OSC. Logistic regression models used to estimate the association between OSC and WPV. Prevalence of WPV was 68.5% whereby verbal abuse was the most common type (65%) followed by bullying (27%), physical violence (6%) and sexual harassment (2%). Nurses (29.7%) were the most affected by WPV. The main perpetrators were relatives of patients (38%). Low level of OSC was also associated with WPV (OR=3.04, 95% CI=1.45-6.41). The results of this study confirmed that safety climate is associated with WPV. Hence, interventions and efforts to prevent WPV among HCW should also include improving organizational safety factors.
Volume: 11
Issue: 1
Page: 88-97
Publish at: 2022-03-01

COVID-19 risk perceptions among healthcare workers during early “new behavior norms” phase

10.11591/ijphs.v11i1.21252
Lolita Lolita , Azis Ikhsanudin
The coronavirus disease 2019 (COVID-19) pandemic poses a serious health threat among Indonesian healthcare workers. As front-line workers, they were facing higher risk due to the prolonged exposure of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This study aimed to explore various factors affecting perceived risk among healthcare professionals. A cross-sectional study was conducted among health practitioners who met the inclusion criteria of being over the age of 17 years and resided in Indonesia. This study was conducted during the early "new normal behavior" period from April to July 2020. The sampling technique was convenience sampling which involved collecting data through the online questionnaire. The data were analyzed through the Spearman correlation method using SPSS version 22.0. A total of 248 respondents were included in the final analysis. Overall, age (p=0.017) and health status (p=0.001) significantly affected the COVID-19 risk perception among healthcare workers. Therefore, comprehensive COVID-19 risk communication should be established to optimize health behavior and crisis control management among healthcare workers.
Volume: 11
Issue: 1
Page: 352-358
Publish at: 2022-03-01

Mathematical connections made during investigative tasks in statistics and probability

10.11591/ijere.v11i1.21730
Liezl Joy Lazaro Quilang , Lyndon Laborte Lazaro
The Philippines has undergone a fundamental overhaul of its educational system to highlight basic education and overcome its deficiencies. The educational reform prompts prospective teachers to connect the concepts taught to instill a more profound understanding. As such, the researchers explored the mathematical connections made by prospective secondary mathematics teachers while completing investigative tasks. The study employed a concurrent triangulation mixed-methods design. Data were gathered from 39 prospective secondary mathematics teachers enrolled in the state universities' flagship campuses in Northeastern Philippines. Data were gathered using mathematical connections evaluation, think-aloud strategy, and interviews. Frequency counts, percentages, mean percent scores, Pearson product-moment correlation coefficient, and analysis of the interviews' transcriptions were employed in the study. Results showed that the prospective teachers performed best in making instruction-oriented connections but have difficulty in making implications connection. Also, the prospective teachers' ability to successfully make the mathematical connection is directly linked to their knowledge of the concept, the algorithm, and the part-whole relationship. As such, reform efforts should be made to enhance mathematical connections, emphasizing statistical thinking, and reasoning. Moreover, higher education institutions should incorporate connecting as one of the intended learning outcomes for prospective mathematics teachers.
Volume: 11
Issue: 1
Page: 239-249
Publish at: 2022-03-01

Theoretical and quantitative analysis of cyanosis colouration in newborn

10.11591/ijeecs.v25.i3.pp1644-1651
Nur Fatihah Azmi , Loe Feijs , Frank Delbressine
In this paper, the investigation on the occurrence of cyanosis’s blue colouration in newborn babies will be focused on a more detailed version of the oxyhaemoglobin’s (HbO2) and deoxyhaemoglobin’s (Hb) transmission and reflectance spectrum in the blood vessel. A quantitative analysis of cyanosis colour is based on the theory of an observer model of cyanotic skin. The proposed method formed a basis of work of colour changes to be implemented in the future cyanosis baby manikin for baby simulation area. A series of transfer functions were adopted and described by the relationship of the light propagation in human skin. As expected, results showed that the colouration of HbO2 is less saturated (bright red) in comparison to Hb (darker red) and the colouration depends on the HbO2’s and Hb’s reflectance spectrum in the blood. Meaning that, the correct CIEL_a_b_ colour values of cyanosis in real newborn babies will be quantified and later to be implemented in a cyanosis baby manikin. Despite of non-experimental methodology implemented, it is based on putting together existing knowledge from literature. In particular, the database of the absorbance spectra of HbO2 and Hb and the three-cone pigments with three different absorption spectra of the colour receptors in the human retina. The data from Scott Prahl’s Assorted Spectra and the UCL Institute of Ophthalmology’s Colour Matching Functions were retrieved with the spectral values are depending on the light’s wavelength, (_). The results of newborn’s cyanosis colour was obtained and determined both in a two- dimensional International Commission on Illumination (CIE) 1931 xy and a three-dimensional CIE L_a_b_ colour space.
Volume: 25
Issue: 3
Page: 1644-1651
Publish at: 2022-03-01
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