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1.
International Journal of Work Organisation and Emotion ; 13(3):230-259, 2022.
Article in English | Scopus | ID: covidwho-2162619

ABSTRACT

The well-being theory (WBT) identifies five well-being variables: positive emotion, engagement, relationships, meaning, and accomplishment (PERMA). These variables are significantly empirically verified predictors of flourishing or optimum well-being. However, empirical research for WBT's multidimensional model in the context of work from home, particularly during COVID-19, is limited. This study is important in order to analyse any potentials or challenges that could significantly determine the well-being of workers during WFH, for both public and private sector considerations. As such, this paper aims to contribute to the extant knowledge and practice of WFH from the perspective of the well being theory. Adopting a qualitative methodology, this study identifies the perceived benefits of WFH, including increased productivity, job satisfaction, reduced stress, improved work life balance, and better mental health. Challenges identified include increased work intensity, communication issues, and disruptions to work life balance. Further investigation into the gendered dimension of WFH and its relationship to the life stages of workers revealed a perceived equal relationship between genders, downplaying existing traditional gender stereotypes within participants' households. These findings shed some light on the importance of further research into well-being, particularly for workers and organisations opting for WFH in the post pandemic era. Copyright © 2022 Inderscience Enterprises Ltd.

2.
Alexandria Engineering Journal ; 62:75-83, 2023.
Article in English | Web of Science | ID: covidwho-2158324

ABSTRACT

Epidemiology is the study of how and why an infectious disease occurs in a group of peo-ple. Several epidemiological models have been developed to get information on the spread of a dis-ease in society. That information is used to plan strategies to prevent illness and manage patients. But, most of these models consider only random diffusion of the disease and hence ignore the num-ber of interactions among people. To take into account the interactions among individuals, the net-work approach is becoming increasingly popular. It is novel to consider the dynamics of infectious disease using various networks rather than classical differential equation models. In this paper, we numerically simulate the Susceptible-Infected-Recoverd (SIR) model on Barabasi-Albert network and Erd delta s-Re acute accent nyi network to analyze the spread of COVID-19 in Pakistan so that we know the severity of the disease. We also show how a situation becomes alarming if hubs in a network get infected.(c) 2022 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).

3.
2022 Applied Informatics International Conference, AiIC 2022 ; : 137-142, 2022.
Article in English | Scopus | ID: covidwho-2136088

ABSTRACT

The Covid-19 widespread has given a modern measurement where learning can still be carried out without understudies' assembly their teaches face-to-face. However, an issue that need special attention is student's engagement during online teaching and learning process. The objective of this review is to inspect online learning tools that have been used in various high-level institutions or even in schools. In addition, the purpose of this review is to give instructors some suggestions of online learning tools that can be applied to help students engage with their learning. The study also offers some definition term on online learning, online learning resources, platforms, and tools being applied by researchers in various fields that suits the online learning environment. © 2022 IEEE.

4.
Education in Medicine Journal ; 14(3):75-90, 2022.
Article in English | Scopus | ID: covidwho-2111310

ABSTRACT

Emotional intelligence (EI), which is described as a set of skills to recognise and control one's own emotions and other people, is believed to act as a protective factor against negative stress. Recently, stress and online learning readiness (OLR) have become an increasing concern among the students during the recent COVID-19 pandemic. Therefore, this study aimed to determine the relationship between EI and demographic profiles (gender, year of study and geographical living area), and to find the correlation between EI and stress, as well as between stress and OLR among the pharmacy students during the pandemic. This study involved a cross-sectional correlational study, where an online-based survey was performed involving 315 pharmacy students, from first to the fourth year, at Universiti Teknologi MARA (UiTM) Puncak Alam, Malaysia. Three valid and reliable questionnaires were used namely Universiti Sains Malaysia Emotional Quotient Inventory (USMEQ-i), Perceived Stress Scale (PSS), and Online Learning Readiness Scale (OLRS). The data were analysed by SPSS software version 27. In the study, the respondents' EI was at the average level. No association between EI and demographic profiles was found. A weak negative correlation was found between EI and stress r(313) = -0.272, p < 0.05 as well as between stress and OLR, r(313) = -0.320, p < 0.05. This study suggested that EI could act as a protective element against stress since both were negatively correlated. A negative correlation found between stress and OLR reflects that increased stress levels can potentially give a negative impact on the OLR of the pharmacy students in UiTM Puncak Alam. © 2022 Penerbit Universiti Sains Malaysia. All right reserved.

5.
Medical Journal of Malaysia ; 77(Supplement 3):17, 2022.
Article in English | EMBASE | ID: covidwho-2093053

ABSTRACT

Introduction: COVID-19 still poses a high morbidity and mortality in chronic kidney disease. We aim to determine the risk factors for mortality amongst hospitalised COVID-19 patients with kidney disease. Material(s) and Method(s): This is an observational cohort study involving all COVID-19 patients with kidney disease in the first quarter of 2021. Relevant data was extracted from the electronic medical records and statistical analysis was conducted using SPSS version 26. Result(s): Of 414 COVID-19 patients, 165 (39.9%) had kidney disease [25.5% end stage kidney disease (ESKD), 4.2% chronic kidney disease (CKD) and 70.3% acute kidney injury (AKI)). 56 of them died, giving an inpatient mortality rate of 33.9% in patients with kidney disease compared to 17.1% from all COVID-19 admissions. ESKD had the highest mortality rate at 42.9% followed by AKI, 31% and CKD, 28.6% (p=0.365). Majority of patients with kidney disease who died, were older (66 +/- 10.4 vs 54 +/- 14.6, p<0.001), male (78.6% vs 61.5%, p=0.035) and had category 5 infection (28.6% vs 19.3%;p=0.009). 66.1% were on mechanical ventilation while 51.8% were managed in the intensive care unit. Multiple logistic regression predicted older age, premorbid CKD & ESKD, raised peak serum sodium, admission category of illness 4 & 5, mechanical ventilation and unknown epidemiology link to increase mortality risk in patients with COVID-19 infection with kidney disease. Conclusion(s): COVID-19 mortality rate remains high amongst those with ESKD, CKD and AKI. Future studies should evaluate the incidence and outcome post vaccination.

6.
Medical Journal of Malaysia ; 77(Supplement 3):23, 2022.
Article in English | EMBASE | ID: covidwho-2092175

ABSTRACT

Seizure is rarely a presenting symptom of COVID-19 infection. Neurological manifestations happen through direct invasion into the nervous system or through activation of the systemic inflammation. A healthy 13-year-old boy presented with one episode of seizure and fever for 2 days. On arrival, he was in post-ictal, febrile with stable haemodynamics. In view of poor Glasgow coma scale recovery, he was intubated and antibiotics were also given. Computed tomography brain contrast showed meningoencephalitis changes. Biochemistry tests from lumbar puncture revealed viral pictures while cultures were negative. The polymerase chain reaction was positive for COVID-19. While in the intensive care unit, he had hypotension and echocardiogram demonstrated pericardial effusion and reduced ejection fraction. He was treated for multisystem inflammatory syndrome (MIS-C) and given immunoglobulin and methylprednisolone. His condition improved and no seizure reported. After 7 days, he developed another seizure which then he was decided for plasma exchange therapy. He recovered well and was discharged after 31 days of admission. The incidence of encephalitis amongst COVID-19 patient was 0.215%. Less than 1% of paediatric population with confirmed SARS-CoV-2 infection is prone to develop MIS-C as a consequence of hyperinflammatory state. It typically occurs within 2-6 weeks after SARS-CoV2 infection. This case depicts otherwise as this patient developed MISC during his active SARS-CoV2 infection. Our case highlights the need to look for indicators of MIS-C particularly in COVID-19 individuals who do not present with typical symptoms as the treatment is substantially different.

7.
Medical Journal of Malaysia ; 77(Supplement 3):51, 2022.
Article in English | EMBASE | ID: covidwho-2092146

ABSTRACT

Introduction: Large scale testing, rapid diagnosis and immediate isolation of cases with vigorous contact tracing for positive contacts are important measures to reduce the infection rate of the SARS-CoV-2. Reverse transcription polymerase chain reaction (RT-PCR) testing requires designated lab and trained personnel, this may cause longer turn around time to get the result. Antigen test kit from nasopharyngeal swab specimens already implemented for use in Malaysia since May 2020 however this test still requires trained personnel for swabbing. This study shows correlation between SARS-CoV-2 rapid test kit (RTK) antigen from saliva with gold standard SARS-CoV-2 RT-PCR from nasopharyngeal swab. Material(s) and Method(s): Retrospective analysis of 152 samples sent for SARS-CoV-2 RT-PCR with written history of home SARS-CoV-2 RTK saliva self-test done within 72 hours from October 2021 to April 2022 included in the study. Result(s): 74.3% of SARS-CoV-2 RTK Antigen from saliva correlates with SARS-CoV-2 RT PCR. Conclusion(s): SARS-CoV-2 RTK antigen from saliva proves to be one of the reliable method for a rapid diagnosis and easily accessible for SARS-CoV-2 home screening test.

8.
Journal of Asian Finance Economics and Business ; 9(8):19-27, 2022.
Article in English | Web of Science | ID: covidwho-2072240

ABSTRACT

Graduate well-being is foundational to academic success, and they are becoming more and more vulnerable. This is as they suffer from mental health challenges like anxiety and depression at rates six times higher than the general population. When the nature of their educational experience changes, such as when they had to stay in their homes during the COVID-19 pandemic, the stress on their mental health increases. The number of cases of emotional wellness among university students is considered a public health problem, but these young people often do not seek appropriate treatment. This study, therefore, aims to identify the influence of health behavior factors on graduate emotional wellness. This study used a questionnaire with a cross-sectional survey design. Questionnaires were distributed online to graduates from selected Private and Public Higher Education Institutions in Malaysia. The Partial Least Square Equation Model (PLS-SEM) was used to analyze the results of the study. Overall findings indicate that the health behavior factors have a significant influence on graduate emotional wellness. The findings from this study will benefit the management, academics, counselors, and other entities, including the Students' Representative Council, in identifying ways to improve services and upgrade the necessary facilities to enhance the graduate's emotional wellness.

9.
International Journal of Emerging Technology and Advanced Engineering ; 12(8):180-186, 2022.
Article in English | EuropePMC | ID: covidwho-2067702

ABSTRACT

Digital health technologies are being increasingly developed with the aim of allowing older adults to maintain functional independence throughout the old age, a process known as healthy ageing. Such digital health technologies for healthy ageing are expected to mitigate the pandemic effects and improve the quality of life of older adults. However, digital health technology diffusion is still in its early stage and there is slow rate of adoption among elderly people. Little is known regarding the needs of older adults regarding digital health technologies during pandemic. More reviews are needed to investigate on this issue so that engagement strategies for a better-quality digital health solution can be develop for promoting healthy ageing later. Therefore, the aim of this paper is to review on the perceptions and digital health technologies usage among older adults for healthy ageing during the COVID-19 epidemic. Summary of digital health technologies issues and recommended strategies for older adults is also presented. Related studies from the articles will be reviewed to highlights potential rooms for improvement for digital health technologies usage within older adults. © 2022 IJETAE Publication House. All rights reserved.

10.
Open Access Macedonian Journal of Medical Sciences ; 10:2029-2033, 2022.
Article in English | EMBASE | ID: covidwho-2066705

ABSTRACT

BACKGROUND: Mycobacterium tuberculosis infection causes the release of pro-inflammatory cytokines affecting hemostasis. Although the plasminogen activator inhibitor-1 (PAI-1) has a vital role in the fibrinolysis system, little is known about its profile among people with latent tuberculosis (TB). METHODS: This is a cross-sectional study that involves 80 healthcare workers. The study was conducted in two academic medical centers of Makassar city, Indonesia, from September to October 2021. PAI-1 levels were measured using the enzyme-linked immunosorbent assay technique. The statistical test results were significant if p < 0.05. RESULTS: Although there was no statistically significant difference (p > 0.05) in PAI-1 levels, PAI-1 level among participants in the latent TB infection (LTBI) group was found to be lower (4.9 ng/mL) than in the healthy control group (6.0 ng/mL). In addition, participants in the LTBI group with a history of being infected (9.6 ng/mL) with the COVID-19 had higher PAI-1 levels than those who had never been infected (2.3 ng/mL), which is statistically significant (p = 0.004). Although there was no statistically significant difference (p > 0.05) in PAI-1 levels among participants in the healthy control group, those with a history of being infected (6.7 ng/mL) demonstrated higher PAI-1 levels than those who had never been infected (4.8 ng/mL). CONCLUSIONS: PAI-1 levels were lower in LTBI participants, which potentially is due to more participants in the healthy control group having a history of COVID-19 infection.

11.
Natural Product Communications ; 17(9), 2022.
Article in English | EMBASE | ID: covidwho-2064397

ABSTRACT

SARS-CoV-2 has been responsible for over 500 million cumulative cases all over the world since December 2019 and has marked the third introduction of a highly pathogenic virus after SARS-CoV and MERS-CoV. This virus is in a winning situation because scientists are still racing to explore effective therapeutics, vaccines, and event treatment regimens. In view of progress in current disease management, until now none of the preventive/treatment measures can be considered entirely effective to treat SARS-CoV-2 infection. Therefore, it is required to look up substitute ways for the management of this disease. In this context, herbal medicines could be a good choice. This article emphasizes the antiviral potential of some herbal constituents which further can be a drug of choice in SARS-CoV-2 treatment. This article may be a ready reference for discovering natural lead compounds and targets in SARS-CoV-2 associated works.

12.
4th International Conference on Smart Sensors and Application, ICSSA 2022 ; : 114-119, 2022.
Article in English | Scopus | ID: covidwho-2052022

ABSTRACT

Cyberspace is essential for e-business, including small and medium enterprises (SMEs). In reality, SMEs have limited resources for cybersecurity. Furthermore, dealing with the fourth industrial revolution and the post-COVID-19 era, the challenges are not limited to cybersecurity only but also cyber resilience. Over 200 cyber resilience assessment frameworks have been proposed. Thus, SMEs need help to operate cyber resilience as a simple. This paper reviews the technical architectures behind the cyber resilience (CR) to detect processes and monitor assets continuously from incidents in the modeling level. The technical architectures of the CR model are built on five layers. The five layers are services, data, generative models, data analysis, and resilience scale. Machine learning and data mining based a probabilistic model approach works to solve the problem of the CR model. The approach is taken to ensure that the probabilistic model is adaptive in the face of uncertainty. The CR model helps to explain the technical architecture of each layer to realize the probabilistic model in practice. © 2022 IEEE.

13.
5th Innovation and Analytics Conference and Exhibition, IACE 2021 ; 2472, 2022.
Article in English | Scopus | ID: covidwho-2050670

ABSTRACT

The Malaysian government has implemented various strategies to break the chain of COVID-19-in the society, such as the implementation of enhanced movement control order (EMCO) in the red areas. To support the implementation of the government's strategy, food distribution to all families in the affected areas must be provided. In this paper, we demonstrate how the binary knapsack model can be utilized to help a non-governmental organization (NGO) in Tawau selects the food items to be filled in the food basket with maximum budget of RM100. A binary integer programming model that maximize the total weight of the food basket is developed and solved using Lingo 12.0. Two models were developed;i) the first model was developed solely based on the budget restriction, ii) the second model add in special condition as proposed by the NGO team. The first model produces optimal solution where the NGO team can prepare a basket of 31 kilograms with total cost of RM93. On the other hand, the second model provide a food basket with a higher cost of RM98 but the total weight remain unchanged. The knapsack approach used in this study may be useful for other organizations in decision making for item selection. © 2022 Author(s).

14.
Nat Sci Sleep ; 14: 1651-1663, 2022.
Article in English | MEDLINE | ID: covidwho-2043248

ABSTRACT

Purpose: The coronavirus disease 2019 (COVID-19) pandemic has many psychological and physical effects to which university students are vulnerable. We aimed in this study to assess the prevalence of insomnia among university students in Saudi Arabia during the COVID-19 pandemic and lockdown and associated factors. Patients and Methods: We conducted a cross-sectional study using a questionnaire to collect the responses of 5140 students from Saudi universities between April 24 and 30, 2020. Responders completed demographic questions and psychological scales, including the Insomnia Severity Scale (ISI), during the national lockdown period in Saudi Arabia. Results: Approximately, 41% of the sample suffered from moderate to severe insomnia. The mean ISI score was recorded as 12.9 (SD 6.62). Insomnia was associated with female sex, younger age, students from new universities, junior students, if a relative suffered from COVID-19, having a chronic medical illness, and having a psychiatric disorder. Insomnia was associated also with suicidal ideation. Conclusion: Insomnia prevalence was very high among Saudi university students during the COVID-19 pandemic lockdown. There were sociodemographic and medical factors associated with high insomnia prevalence. Universities need to plan and implement protective and intervention strategies to deal with this important issue.

15.
IEEE Access ; : 1-1, 2022.
Article in English | Scopus | ID: covidwho-2037807

ABSTRACT

Generative adversarial networks (GANs) gained tremendous growth due to its potential and efficacy in producing realistic samples. This study proposes a light-weight GAN (LiWGAN) to learn the non-image synthesis with minimum computational time for less power computing. Hence, the LiWGAN method enhanced a new skip-layer channel-wise excitation module (SLE) and a self-supervised discriminator design for the non-synthesis performance using the facemask dataset. The facemask is one of the preventative strategies pioneered by the current COVID-19 pandemic. LiWGAN manipulates a non-image synthesis of facemask that could be beneficial for some researchers to identify an individual using lower power devices, occlusion challenges for face recognition, and alleviate the accuracy challenges due to limited datasets. The performance compared the processing time for a facemask dataset in terms of batch sizes and image resolutions. The Fréchet inception distance (FID) was also measured on the facemask images to evaluate the quality of the augmented image using LiWGAN. The findings for 3000 generated images showed a nearly similar FID score at 220.43 with significantly less processing time per iteration at 1.03s than StyleGAN at 219.97 FID score. One experiment was conducted using the CelebA dataset to compare with GL-GAN and DRAGAN, proving LiWGAN is appropriate for other datasets. The outcomes found LiWGAN performed better than GL-GAN and DRAGAN at 91.31 FID score with 3.50s processing time per iteration. Therefore, LiWGAN could aim to enhance the FID score to be near zero in the future with less processing time by using different datasets. Author

16.
Emerging Markets Review ; 51, 2022.
Article in English | Web of Science | ID: covidwho-1996140

ABSTRACT

Stock markets have exhibited increased returns connectedness during the COVID-19 period. We examine the returns dependence among 42 stock markets classified under various emerging and developed groupings. We apply several dependence measures to examine the returns connectedness among the markets. Our results show that stock markets from the G-7 and Emerging Frontier and Asian (EFA) region exhibit high connectedness with other international markets, while Middle East and North African (MENA) and Latin American (LA) stock markets offer high diversification opportunities through low returns connectedness. The returns coherence of Central and East European (CEE) and G-7 markets increase significantly during the COVID-19 period which supports the hypothesis of contagion. However, during the pandemic MENA stock markets (excluding Greece) and most EFA markets (excluding China, Singapore and Korea) remain less cointegrated with other international equity markets. Our results have implications for individual and institutional investors, fund managers and other financial market stakeholders.

17.
Malaysian Journal of Fundamental and Applied Sciences ; 18(3):332-342, 2022.
Article in English | Web of Science | ID: covidwho-1995338

ABSTRACT

COVID-19 is a global public health problem that causes severe acute respiratory syndrome (SARS). It is also extremely contagious with rapidly increasing death rates. In this paper, we propose an optimal control model with SIRS (Susceptible-Infected-Recovered-Susceptible) kinetics to examine the effects of several intervention measures (e.g., vaccination and treatment) under the limited medical resources scenarios. This model is also employed to investigate the possibility of reinfection because of the fading of immunity problem. As a case study, the modeling framework is parametrised using COVID-19 daily confirmed and recovered cases in Malaysia. The parameters have been approximated by relying on the model's best fit to actual data published by the Malaysian Ministry of Health (MOH). Our numerical simulation results show that the inclusion of optimal control components with vaccination and treatment strategies would dramatically reduce the number of active cases even in the presence of reinfection forces. Regardless of the relative weightage (or costs) of vaccination and treatment, as well as the possibility of reinfection, it is critical to plan effective COVID-19 control measures by vaccinating as many people as possible (and as early as possible). Overall, these insights help explore the importance of intervention measures and the allocation of medical resources to control the severity of this pandemic.

18.
Asian Journal of University Education ; 18(3):724-734, 2022.
Article in English | Scopus | ID: covidwho-1994845

ABSTRACT

Numerous educational institutions worldwide have halted face-to-face teaching and learning sessions in response to the COVID-19 outbreak. In Malaysia, the suspension began in March 2020, pushing educational institutions to transition to online classrooms and reshape their academic calendars for consecutive semesters. The reality of online classes necessitates a discussion about a new pedagogical work in which students and educators must understand how to manage online learning and make the most of online technologies. To do so, students must first gain an understanding of the difficulties inherent in open and distance learning (ODL). From the perspective of students, this article examines the difficulties associated with online learning during the COVID-19 pandemic. As a sample, 495 students from UiTM Terengganu who were actively engaged in online learning activities were included in this study. In this study, Exploratory Factor Analysis (EFA) was used to analyse the data in order to determine which factors contributed to ODL challenges faced by UiTM Terengganu students. Findings showed, the most significant challenges for the majority of students are technology and the internet. Additional concerns raised included interaction between students and lecturers, psychological issues, difficult assessments, and self-management. The significance of the study is that the university can take the initiative to address the primary challenges faced by students thereby increasing the effectiveness of ODL in the future. © 2022. All Rights Reserved.

19.
NeuroQuantology ; 20(6):9291-9303, 2022.
Article in English | EMBASE | ID: covidwho-1988592

ABSTRACT

Various teaching and learning approaches have been applied among educators to the students during the Movement and Control Orders (MCO) employed due to COVID-19. Educators especially those who are teaching the mathematics subject require comprehensive and effective tools to help their students understand the concept and able to do exercises with less face-to-face guidance or a normal conventional teaching approach. Teaching the mathematics subject especially to the Pre-Diploma students is very challenging as they are quite weak in mathematics fundamentals and coincidentally, they have to face the obstacles of teaching approach with Online learning during MCO. Hence, a mathematics teaching model with an online learning approach was created to make the teaching delivery effective, thus increasing the learning curve or performance of mathematics among students. The ongoing and final assessment results of the students were analysed using an independent sample t-test to measure the difference between those experiencing and without experiencing the suggested model.

20.
Hong Kong Journal of Emergency Medicine ; 29(1):40S-41S, 2022.
Article in English | EMBASE | ID: covidwho-1978666

ABSTRACT

Background and objectives: The COVID-19 pandemic has proved itself to be the greatest global health disaster and overwhelm any healthcare system. Hence, it is paramount that we consider our approach in the management and distribution of resources in light of this pandemic. The aim of this project was to draw up a modified surge capacity plan, to facilitate patient's admission, and ensure safety of patients and healthcare workers. In view of that, a Surge Capacity Preparedness and Response Plan For COVID Pandemic Emergency Department Hospital Selayang was implemented due to an increase in patients' volumes and access block. All patients shall be triaged according to severity based on Malaysian Triage Category and the probability of COVID infection based on recent Case Definition of Clinical Criteria and Epidemiological by Ministry of Health, Malaysia. Methods: A Quality Improvement Project was conducted in the Emergency and Trauma Department, Hospital Selayang (ETDHS). Using a driver diagram, we were able to focus on the multiple key areas that includes reducing non-emergency visits, expanding and utilizing all available space, proper clean and dirty zoning system, and improving the work flow employed in facilitating patients' review, treatment, and admission. Results: The emergency department (ED) overall admission volume increased by 50% compared to before the pandemic. New zoning system showed there was increase in critical zone patients and reduction in total number of patients in non-critical zones (MDSU/fever center/COVID tent/green zone) from 78% to 76% with proper triaging and workflow system. Before the implementation of the new zoning system, there were eight confirmed COVID-19 cases with majority (87.5%, n=7) who were initially triaged to "clean" zones and caused cross-contamination. However, after the implementation of the new system, it was found that all the patients who were tested positive for COVID-19 (100%, n=6) were successfully isolated during the initial triage stage to the respective respiratory/"dirty" zones. Conclusion: The implementation of new zoning system in the ED during COVID-19-associated patient surge successfully improved patient flow, reduced over-crowding and non-emergency visits, decreased cross-contamination, increased the awareness and knowledge, and subsequently prevented transmission of COVID-19 among healthcare staffs.

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