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25,002 Article Results

A scoping review of economic evaluations of post-traumatic stress disorder patients’ intervention

10.11591/ijphs.v14i1.23725
Veronica Dwarika , Amos Nnaemeka Amedu
Intervention programmes for patients with post-traumatic stress disorder (PTSD) have been extensively evaluated economically, and the related implementation costs are presumably high. This study reviewed the cost-effectiveness of PTSD intervention programmes and associated health benefits. The literature search was carried out between June and July 2023. The PRISMA guidelines for scoping review protocols were strictly followed. A literature search was conducted on the National Health Service (NHS) Economic Evaluation Database, PubMed, PsycInfo, and EconLit, this search yielded 16 studies. This review revealed that trauma-focused cognitive-behavioural therapy (+selective serotonin re-uptake inhibitor) (TF+CBT+SSRIs); prolonged exposure therapy; MDMA-assisted therapy (MDMA-AT); stepped care, screen and treatment; and the transmural trauma care model were cost-effective for PTSD treatment. The cost-effectiveness of intervention programmes that lasted 10 to 31 years was greater. In general, long-term intervention programmes have been associated with health benefits. It is also important to note that telemedicine, cognitive-behavioural therapy, biopsychosocial therapy, and individual therapeutic interventions are capital-intensive and inefficient. When disbursing funding for PTSD treatment around the world, the world health organisation (WHO) should keep in mind these identified interventions and the countries where they have been found to be cost-effective.
Volume: 14
Issue: 1
Page: 333-342
Publish at: 2015-03-01

Exploring omentin-1 gene expression and insulin-resistance modulation in diabetic and obese male albino rats

10.11591/ijphs.v14i1.24253
Noorah Saleh Al-Sowayan , Aiesha Mohammed Almutawa
Omentin-1, a cytokine secreted by adipose tissue, plays a role in metabolic regulation and insulin sensitivity. However, there is a lack of understanding about the specific effects of high-intensity training (HIT) in diabetic and obese individuals. The present study investigates the effect of a 5-week HIT program on the omentin-1 gene expression and insulin resistance in diabetic and obese male albino rats. Thirty-two rats weighing between 100-120 grams, were procured and divided into groups: the control group (receiving a normal diet), the high-fat diet group (non-diabetic obese rats), the HIT diabetic group (induced diabetes through streptozotocin administration and subjected to HIT), and the diabetic control group (induced diabetes but not subjected to HIT). The HIT diabetic and HIT obese groups underwent a 5-week HIT protocol, involving treadmill running for 60 minutes at 34 m/min speed, five sessions per week. At the end of the experiment, various parameters including glucose, insulin, insulin resistance, LDL, HDL, TC, TG levels, and omentin-1 gene expression assessed using samples obtained from visceral tissue. SPSS version 25 was used to perform statistical analysis, results as mean±SE. One-way ANOVA identified group differences, with significance level (p-value) of less than 0.05. The findings revealed that omentin-1 gene expression significantly increased in the HIT diabetic group following five weeks of training. Both training groups exhibited reductions in insulin, glucose, and insulin resistance levels. It is concluded that a 5-week HIT program can lead to enhanced omentin-1 gene expression and improved insulin resistance in diabetic and obese male albino rats.
Volume: 14
Issue: 1
Page: 351-360
Publish at: 2015-03-01

Nonlinear-Filtering with Interacting Multiple-Model Algorithm for Coastal Radar Target Tracking System

10.12928/telkomnika.v13i1.791
Rika; Indonesian Institute of Sciences (LIPI) Sustika , Joko; Indonesian Institute of Sciences (LIPI) Suryana
This paper presents a performance evaluation of nonlinear filtering with Interacting Multiple Model (IMM) algorithm for implementation on Indonesian coastal radar target tracking system. On this radar, target motion is modeled using Cartesian coordinate but target position measurements are provided in polar coordinate (range and azimuth). For this implementation, we investigated two types of nonlinear filtering, Converted Measurement Kalman Filter (CMKF) and Unscented Kalman Filter (UKF). IMM algorithm is used to anticipate target motion uncertainty. Many simulations on radar target tracking are developed under assumption that noise characteristic is known. In this paper, the performance of IMM-CMKF and IMM-UKF is evaluated for condition that radar doesn’t know noise characteristic and there is mismatch on noise modeling. Results from simulation show that IMM-CMKF has better performance than IMM-UKF when tracking maneuvering trajectory. Results also show that IMM-CMKF is more robust than IMM-UKF when there is mismatch on noise modeling.
Volume: 13
Issue: 1
Page: 211-220
Publish at: 2015-03-01

Utilizing the Optimization Algorithm in Cascaded H-Bridge Multilevel Inverter

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4225
M.Suresh Kumar , Ramani Kannan
This paper proposed the elimination of undesired harmonic in a Cascaded H-Bridge Multi-Level Inverter by using Selective Harmonic Elimination-Pulse Width Modulation strategy with programmed Particle Swarm Optimization algorithm. In Selective Harmonic Elimination Pulse Width Modulation technique, PSO algorithim is used to determine the non-linear transcendental equation to precise obligatory switching angles for eliminate low order harmonics and reduce the Total Harmonic Distortion from the inverter output voltage waveform while maintaining the required fundamental voltage at the desired value. Computational results are validate that the proposed method does competently eliminate the low order harmonics and also resulted in minimum Total Harmonic Distortion value. The results exposed that the proposed method can achieve efficaciously to the optimal solution more rapidly than other algorithms. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7132
Volume: 13
Issue: 3
Page: 458-466
Publish at: 2015-03-01

An Image Compression Scheme Based on Fuzzy Neural Network

10.12928/telkomnika.v13i1.1270
Bo; North University of China Wang , Yubin; North University of China Gao
Image compression technology is to compress the redundancy between the pixels to reduce the transmission broadband and storage space by using the correlation of the image pixels. Fuzzy neural network effectively integrates neural network technology and fuzzy technology; combines learning, self-adaptivity, imagination and identity and uses rule-based reasoning and fuzzy information processing in the nodes; thus greatly improving the transparency of fuzzy neural network. This paper mainly investigates the applications of fuzzy neural network in image compression and realizes the image compression and reconstruction of fuzzy neural network. It is demonstrated in the simulation experiment that the image compression algorithm based on fuzzy neural network has significant advantages in training speed, compression quality and robustness.
Volume: 13
Issue: 1
Page: 137-145
Publish at: 2015-03-01

Modeling determinants of stunting among children under five years in Urban Areas

10.11591/ijphs.v14i1.24721
Fibrianti Fibrianti , Fitria Hayu Palupi , Witri Dewi Mentari , Agung Setiyadi , Agung Sutriyawan
Child stunting remains a global public health problem. Compared to other middle-income countries, Indonesia is one of the countries with a high prevalence of stunting. This study aims to identify predictive indices and analyse the determinants of stunting in children under five in urban areas. Case control design was conducted on 420 (210 cases and 210 controls). Simple random sampling and side proportional techniques were used for sampling. Structured questionnaires were used to collect data through interviews and anthropometric measurements. Multivariable binary logistic regression analysis and statistical significance expressed at 95% CI, as well as receiver operating characteristic analysis were used. Mothers with low education (OR=1.6, 95% CI=1.0-2.6), fathers with no permanent job (OR=1.5, 95% CI=1.0-2.4), pregnancy interval less than 24 months (OR=1.6, 95% CI=1.0- 2.6), family size of five or more (OR=2.1, 95% CI=1.3-3.3), income below minimum household income (OR=1. 7, 95% CI=1.0-2.8), not exclusively breastfed (OR=2.1, 95% CI=1.1-3.7), not fully immunised (OR=2.1, 95% CI=1.0-4.4), low birth weight (OR=2.3, 95% CI=1.2-4.5), and a history of disease (OR=2.0, 95% CI=1.0-3.8) were determinants of stunting. The most dominant determinant of stunting in children under five years old is low birth weight. Therefore, strategies and programmes are aimed at early prevention efforts, by increasing awareness to change community behaviour regarding improving maternal nutrition since pregnancy.
Volume: 14
Issue: 1
Page: 27-36
Publish at: 2015-03-01

Particulate matter 2.5 pollution, perception, and mental stress

10.11591/ijphs.v14i1.24587
Raabkwan Khanthavit , Anya Khanthavit
Multivariate mediation analyses were used to relate perceptions of particulate matter 2.5 (PM2.5) pollution level directly and indirectly to mental stress of residents in Bangkok, Thailand. PM2.5 induced concerns about respiratory and cardiovascular diseases, health, and unemployment served as mediators of the indirect effects. This study decomposed full perception into correct perception (actual PM2.5 level) and misperception so that the effects of perception and its components can be examined separately. The data were daily time series, beginning July 30, 2016, and ending September 30, 2023. Unobserved perception, PM2.5 induced concerns, and mental stress were proxied by Google’s relative search volume indexes. Correct perception was the actual PM2.5, whereas misperception was the regression residual of the full perception on the actual PM2.5. In the full sample, full perception and misperception had significant indirect effects, whereas correct perception had a significant direct effect. Respiratory disease was the main contributor to the significant indirect effect, although concern itself was not significant. For the COVID-19 subsample, full perceptions showed significant total, direct, and indirect effects. The significant indirect effect was explained by concerns regarding respiratory diseases and health. Correct perception had a significant direct effect; its indirect effect was small and nonsignificant. The results for misperceptions were similar to those for perceptions.
Volume: 14
Issue: 1
Page: 292-301
Publish at: 2015-03-01

PDF Based Icing Image Recognition Applied to Online Early Warning System for Transmission Lines

https://ijeecs.iaescore.com/index.php/IJEECS/article/view/4223
Xin Yin , Xu Chen , Ertao Lei , Minghao Wen
This paper proposes an online early warning technique and the probability distribution function based icing image recogition for overhead power transmission lines. The main functionality of the online early warning of icing, forest fire,lighting, insulator flashover, conductor gallopiong and invasion which is based on a scheme of the online inspection system for the transmission lines with optical fibre communication technology. As a case study, the early warning of icing is discussed in this paper and a comprehensive icing early warning scheme has been proposed: the local meteorological conditions and mechanical data are applied for the initial criteria of the icing early warning system, and the PDF based image recognition technology is then used to finally decide the icing condition of transmission lines, which can be mor effectively dealt with than complex pictures acquired at towers. DOI: http://dx.doi.org/10.11591/telkomnika.v13i3.7210
Volume: 13
Issue: 3
Page: 441-448
Publish at: 2015-03-01

Critical Data Routing (CDR) for Intra Wireless Body Sensor Networks

10.12928/telkomnika.v13i1.365
Javed Iqbal; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Bangash , Abdul Hanan; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Abdullah , Mohammad Abdur; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Razzaque , Abdul Waheed; Faculty of Computing, Universiti Teknologi Malaysia (UTM) Khan
Recently, Wireless Body Sensor Network (WBSN) has been emerged as a promising technology to provide medical and healthcare monitoring. It can significantly reduce the health-care cost by providing continuous health monitoring facility to the elderly people suffering from chronic diseases. The life critical and real time medical application of WBSNs requires the assurance of the demanded Quality of Service (QoS) both in terms delay and reliability. This paper proposes Critical Data Routing (CDR) that categorizes the sensory data packets as critical and non-critical data packets. Along with the heterogeneous natured data, it also addresses the high and dynamic path loss and the temperature rise issues caused by postural movement of the human body and electromagnetic waves absorption respectively. The simulation results show that the proposed CDR scheme achieves its designed objective of forwarding the critical data packets within certain time limits and with highest reliability while reducing the temperature rise of the in-body sensor nodes.
Volume: 13
Issue: 1
Page: 181-192
Publish at: 2015-03-01

Ultrasonic Tomography of Immersion Circular Array by Hyperbola Algorithm

10.12928/telkomnika.v13i1.1320
Liu; Beijing Institute of Technology Yang , Chunguang; Beijing Institute of Technology Xu , Xianghui; Beijing Institute of Technology Guo , Liping; Flinders University Wang
This paper presents a development and research of a non-invasive ultrasonic tomography for imaging gas/liquid two-phase flow. Ultrasonic transmitting and receiving are implemented using a circular array model that consists of 36 transducers. COMSOL Multiphysics® software is adopted for the simulation of the ultrasonic propagation in the detecting zone. Various two-phase flows with different gas distributions are radiated by ultrasonic waves and the reflection mode approach is utilized for detecting the scattering waves after the generation of fan-shaped beam. Ultrasonic attenuation and sound speed are both taken into consideration while reconstructing the two-phase flow images under the inhomogeneous medium conditions. The inversion procedure of the image reconstruction is realized using the hyperbola algorithm, which in return demonstrates the feasibility and validity of the proposed circular array model.
Volume: 13
Issue: 1
Page: 65-75
Publish at: 2015-03-01

The influence of caring-based character learning interventions on the practical competencies among nursing students

10.11591/ijphs.v14i1.24687
Bhakti Permana , Ah Yusuf , Abu Bakar , Dwi Indah Iswanti , I Made Moh. Yanuar Saifudin
This study aimed to assess the impact of an educational intervention centered on fostering a caring-based character on the practical nursing competency related to ethics, law, and cultural sensitivity. The research employed a quasi-experimental approach with a pre-post design, incorporating a control group. Purposive sampling was used to select 33 respondents for both the intervention and control groups (n=66). The competency measurement instrument was validated and deemed reliable. The intervention, carried out over 12 weeks, utilized a module. Data analysis involved the Wilcoxon match pairs test and Mann-Whitney U-test. The intervention group exhibited a significant improvement in practical nursing competency concerning ethics, law, and cultural sensitivity before and after the caring-based character learning intervention (p<0.001), whereas the control group showed no notable difference (p=0.065). Significant competency differences were observed between the intervention and control groups (p=0.023). The implementation of a caring-based character learning module has the potential to enhance nursing students' competency, particularly in practical aspects related to ethics, law, and cultural sensitivity. It is suggested that nursing education incorporates character learning modules into the curriculum, training programs, or extracurricular activities.
Volume: 14
Issue: 1
Page: 391-399
Publish at: 2015-03-01

Resilience-based interventions for parents of children with cancer: a systematic review

10.11591/ijphs.v14i1.25007
Sumiati Sinaga , Zamzaliza Abdul Mulud
Childhood cancer diagnosis and treatment can have a negative impact, not only on the child but also on the parents. the study aims to systematically summarize the effectiveness of resilience-based interventions in parents of children with cancer. A systematic review was conducted on eight studies that met the eligibility criteria. Article searches were conducted using the PICO framework through six databases PubMed, Scopus, ScienceDirect, Proquest, WoS, and Clinical Key. The literature search followed the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines. Article searches were limited to publication years ranging from 2019 to 2023 using the keywords "resilience" "intervention" and "parents of children with cancer" and only in english. Studies have shown that interventions can improve parental resilience, reduce psychological distress, improve family functioning, and improve quality of life. These interventions also reduce parental hopelessness and improve coping. These outcomes are crucial for parents of cancer children to be resilient and adaptable, enabling them to support their children during treatment and care. The choice of intervention programs and approaches may vary depending on the needs of the parents. Therefore, the results of this literature review can be the basis for determining the approach used in providing nursing interventions aimed at helping parents of cancer children adapt to difficult situations.
Volume: 14
Issue: 1
Page: 114-125
Publish at: 2015-03-01

The synergy of digital knowledge and skills in forming digital citizenship: a comprehensive assessment on nursing students

10.11591/ijphs.v14i1.24773
Ni Putu Wulan Purnama Sari , Jintana Artsanthia , Sudarat Suvaree , Numpueng Prachyakoon
Nurses play a pivotal role in improving the quality of healthcare services through innovation in the nursing care delivery system by using technological advancement. Digital knowledge and mindset are useful for further developing digital skills and literacy among future nurses to form digital citizenship. This study aimed to analyze the correlation between digital knowledge and mindset with digital skills, literacy, and citizenship among nursing students. The mind sponge theory was used in study conceptualization and results interpretation. This quantitative study utilized a cross-sectional design. The population was all nursing students in two private nursing institutions located in Bangkok, Thailand (n=476) and Surabaya, Indonesia (n=179). Samples were the total population. Self-developed, valid, and reliable instrument was used in data collection. Descriptive statistics and correlation test were used in data analysis (α<.05). Findings showed that digital knowledge did not correlate with digital mindset (p=.94), but it was weakly correlated with digital skills, literacy, and citizenship (ρ=.12-.16; p<.05). Digital mindset was strongly correlated with digital skills, literacy, and citizenship (ρ=.56-.60; p<.05). Digital skills had a strong correlation with digital literacy and citizenship (ρ=.58-.67; p<.05), while digital literacy was strongly correlated with digital citizenship (ρ=.59; p=<.05). The synergy of digital mindset, skills, and literacy are recommended to support the digital citizenship formation. We strongly recommend the implementation of collaborative learning method in nursing education. This method promotes the information filtering and exchanging behaviors among students important for digital nursing.
Volume: 14
Issue: 1
Page: 452-459
Publish at: 2015-03-01

Overview of Custom Microcontroller using Xilinx Zynq XC7Z020 FPGA

10.12928/telkomnika.v13i1.1122
Bayu; Bina Nusantara University Kanigoro , Ricky Efraim; Bina Nusantara University Lie , M. Fitra; Bina Nusantara University Kacamarga
This paper presents an overview of customizable microcontroller using a Xilinx Zynq XC7Z020 FPGA as an alternative to increase its performance as user need. This alternative arises due to many of the systems, which developed mostly by using microcontroller are not giving any room for customization to increase its performance or I/O ports. There is any possibility that the system designed to be used by using general processor such as PC to increase its performance but it will give another problem such as interface difficulty for high speed I/O, real time processing, increases complexity, and many more. Customization is introduced by combining hard IP processor and FPGA in one chip instead of practicing two separate devices, processor and FPGA, which is commonly use in high performance embedded design. This approach allows seamless design development and development time reduction for customization.
Volume: 13
Issue: 1
Page: 364-372
Publish at: 2015-03-01

Determinants of caregiver burden in community-dwelling caregivers of patients with severe and persistent mental illness

10.11591/ijphs.v14i1.24074
Zamzaliza Abdul Mulud , John Goodwin , Norfidah Mohamad , Patimah Abdul Wahab
Loss of independence due to cognitive and functional ability is the main challenge experienced by individuals with severe mental illness. This study aimed to investigate the associated factors of caregiver burden among caregivers of individuals with severe and persistent mental illness living in the community. We used a cross-sectional design with open-ended questions to determine the contributing factors to caregiver burden. A self-administered questionnaire was used to measure caregiver burden and resilience (n=201). Caregiver burden and resilience were operationalised using the caregiver burden inventory scale (CBI) and connor-davidson resilience scale (CD-RS), respectively. The findings showed that the caregivers were experiencing a moderate level of caregiver burden (M=30.7, SD=20.3). Caregiving-related stressors are the most important predictor of caregiver burden, explaining 28.3% of the variance in caregiver burden. Finally, the hierarchical analysis found that resilience, caregiver-related stressors and socio-demographic factors contributed to 52.4% of the variance in caregiver burden. New factors that contributed to the burden, such as lack of support and knowledge deficit, emerged from the qualitative findings. The results highlighted the growing evidence of the role of caregivers' socio-demographic variables, caregiving-related stressors and resilience to caregiver burden.
Volume: 14
Issue: 1
Page: 493-501
Publish at: 2015-03-01
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