bluuebunny/crossref_metadata_2025 huggingface dataset:
The mindfulness aspects in the teaching of culinary art in vocational high school
Authors: Adkha Nur Faizal , Sudira Putu , Iskandar Ranu
Published: November 2021

This study aims to describe the aspects of mindfulness in the teaching of culinary art in vocational high schools. The aspects of mindfulness in the field of teaching consist of novelty, variety, joyfulness, meaningfulness, and alertness in learning. The benefits of mindfulness are related to the competencies in creativity, communication, collaboration, and critical thinking. These competencies are often referred to as the "Four C's" and are considered important competencies in the 21st century. The research variables based on theoretical studies in the fields of education and psychology consist of novelty, variety, joyfulness, meaningfulness, and alertness in learning. The population in this study is productive teachers of the department of culinary art at five vocational high schools in the Special Region of Yogyakarta. The specified sample is 30 teachers. The data were collected using a questionnaire. The validity was measured through product-moment testing, and the reliability was measured using the Cronbach alpha model with the SPSS 16.00 program. The data analysis was done using descriptive analysis. The data were analyzed by calculating the ideal score, mean, and standard deviation and by categorizing the data. The results show that the mindfulness aspect of culinary teaching consists of 1.) Novelty, which is in the good category, with a percentage of 53.33%; 2.) Variation, which is in the good category, with a percentage of 66.67%; 3.) Excitement, which is in the very good category, with a percentage of 60%; 4.) Meaningfulness, which is in the very good category, with a percentage of 76.67%; and 5.) Alertness, which is in the very good category, with a percentage of 70%.
The determinant factor of the mother's ability to choose healthy food
Authors: Utami Nurul Ridhi , Mulyatiningsih Endang
Published: November 2021

This study aims to reveal: 1.) The size of the capital city in consuming healthy food; 2.) Selection of healthy food between working and non-working mothers; 3.) Choosing mothers in healthy food between families with a budget for food costs per person per day; and 4.) Choosing mothers in healthy food according to the number of family members. This research is a quantitative survey. The population was the research of PKK mothers in Delta Pawan and Benua Kayong districts, Ketapang, West Kalimantan. Samples of 90 can be responsive using cluster area random sampling. Validity is based on content validity. The reliability of the instrument was calculated using the Guttman Split-half. Data analysis used descriptive and comparative analysis of K sample one way ANOVA. The results showed that: 1.) The choice of mothers in healthy food consumption was seen from the high category knowledge with a frequency of 58.8%. Attitude category is sufficient with a frequency of 52.2%, high category skills with a frequency of 54.4%; 2.) There is a positive and significant difference in the selection of mothers who lack healthy food in terms of working and non-working mothers 0.003 0.05; 3.) There is a positive and significant difference in the choice of mothers in healthy food consumption in terms of family income, namely the budget for food costs per day per person of 0.000 0.05; and 4.) There is a positive and significant difference in the choice of mothers in healthy food consumption in terms of family type, namely the number of family members of 0.003 0.05.
Utility of a Telephone Triage Hotline in Response to the COVID-19 Pandemic: Longitudinal Observational Study (Preprint)
Authors: Cher Benjamin A Y , Wilson Eric A , Pinsky Alexa M , Townshend Ryan F , Wolski Ann V , Broderick Michael , Milen Allison M , Lau Audrey , Singh Amrit , Cinti Sandro K , Engelke Carl G , Saha Anjan K
Published: November 2021

BACKGROUND

During the initial months of the COVID-19 pandemic, rapidly rising disease prevalence in the United States created a demand for patient-facing information exchanges that addressed questions and concerns about the disease. One approach to managing increased patient volumes during a pandemic involves the implementation of telephone-based triage systems. During a pandemic, telephone triage hotlines can be employed in innovative ways to conserve medical resources and offer useful population-level data about disease symptomatology and risk factor profiles.

OBJECTIVE

The aim of this study is to describe and evaluate the COVID-19 telephone triage hotline used by a large academic medical center in the midwestern United States.

METHODS

Michigan Medicine established a telephone hotline to triage inbound patient calls related to COVID-19. For calls received between March 24, 2020, and May 5, 2020, we described total call volume, data reported by callers including COVID-19 risk factors and symptomatology, and distribution of callers to triage algorithm endpoints. We also described symptomatology reported by callers who were directed to the institutional patient portal (online medical visit questionnaire).

RESULTS

A total of 3929 calls (average 91 calls per day) were received by the call center during the study period. The maximum total number of daily calls peaked at 211 on March 24, 2020. Call volumes were the highest from 6 AM to 11 AM and during evening hours. Callers were most often directed to the online patient portal (1654/3929, 42%), nursing hotlines (1338/3929, 34%), or employee health services (709/3929, 18%). Cough (126/370 of callers, 34%), shortness of breath (101/370, 27%), upper respiratory infection (28/111, 25%), and fever (89/370, 24%) were the most commonly reported symptoms. Immunocompromised state (23/370, 6%) and age >65 years (18/370, 5%) were the most commonly reported risk factors.

CONCLUSIONS

The triage algorithm successfully diverted low-risk patients to suitable algorithm endpoints, while directing high-risk patients onward for immediate assessment. Data collected from hotline calls also enhanced knowledge of symptoms and risk factors that typified community members, demonstrating that pandemic hotlines can aid in the clinical characterization of novel diseases.
Effects of mobile mindfulness meditation on mental health of university students: Systematic review and meta-analysis (Preprint)
Authors: Chen Hong , Chen Bin , Yang Ting
Published: November 2021

BACKGROUND

Mobile mindfulness meditation (MMM) is mindfulness meditation intervention implemented by mobile devices like smart phones and apps. MMM has been used to help managing mental health of university students.

OBJECTIVE

The purpose of this study was to evaluate the effectiveness of MMM on mental health of university students in the areas of stress, anxiety, depression, mindfulness, well-being, and resilience.

METHODS

We conducted a systematic review and meta-analysis of the effectiveness of MMM on mental health of university students. An electronic literature search using the PubMed, Web of Science, EBSCO, Cochrane Library, and EMBASE from inception to July 16, 2021 was conducted to identify studies that reported the effects of MMM on stress, anxiety, depression, mindfulness, well-being, and resilience. Two reviewers retrieved articles, evaluated quality and extracted data independently. The methodological quality of the selected studies was determined using the Cochrane criteria for risk-of-bias assessment. The RevMan Version 5.3 was used to perform meta-analysis.

RESULTS

A total of 10 studies, including 958 university students, were selected for meta-analysis. Results showed that MMM was more effective than the control groups in decreasing stress (SMD=-0.41, 95% CI [-0.59, -0.23], P<0.0001), alleviating anxiety (SMD=-0.29, 95% CI [-0.50, -0.09], P=0.004), enhancing well-being (SMD=0.30, 95% CI [0.11, 0.50], P=0.003), and improving mindfulness (SMD=2.66, 95% CI [0.77, 4.55], P=0.006). However, there was no difference between MMM and the control groups in depression (SMD=-0.14, 95% CI [-0.30, 0.03], P=0.11), and resilience (SMD=-0.06, 95% CI [-0.26, 0.15], P=0.59).

CONCLUSIONS

MMM was an effective method to reduce stress, anxiety, and to increase well-being, mindfulness of university students, further studies are needed to confirm our findings.

CLINICALTRIAL

review article, no trail registration number.
Use and Effect of Embodied Conversational Agents for Improving Eating Behavior and Decreasing Loneliness Among Community-Dwelling Older Adults: Randomized Controlled Trial (Preprint)
Authors: Kramer Lean L , van Velsen Lex , Clark Jenna L , Mulder Bob C , de Vet Emely
Published: November 2021

BACKGROUND

Embodied conversational agents (ECAs) have been proposed as a promising interaction modality for the delivery of programs focused on promoting lifestyle changes. However, it is not understood what factors influence the health effects of ECAs or their use.

OBJECTIVE

We aimed to (1) identify whether ECAs could persuade community-dwelling older adults to change their dietary behavior and whether ECA use could decrease loneliness, (2) test the pathways to these effects, and (3) understand factors influencing the use of ECAs.

METHODS

A randomized controlled trial was conducted. The intervention group received access to the PACO service for 8 weeks. The waitlist group started PACO use after waiting for 4 weeks. Two primary outcomes (eating behavior and loneliness) were assessed via online questionnaires at intake, upon joining the waitlist, after 4 weeks, and after 8 weeks. The third primary outcome (use) was assessed via data logs. Secondary outcomes were measured at the same time points, via questionnaires or an optional interview.

RESULTS

In total, 32 participants completed the intervention. We found a significant correlation between use in minutes on the one hand, and perceived usefulness (r=0.39, P=.03) and enjoyment on the other (r=0.38, P=.03). However, these did not predict use in the full regression model (F2,29=1.98, P=.16, R2=0.12). Additionally, PACO use did not lead to improvement in eating behavior (χ22=0.34, P=.85) or a decrease in loneliness (χ22=0.02, P=.99).

CONCLUSIONS

Our study did not provide any concluding evidence about factors that are linked to the use or health effects of ECAs. Future service design could benefit from either creating a functional design catering to the predominant stage in the precaution adoption process model of the targeted population, or by personalizing the service based on an intake in which the end user’s stage is determined.

CLINICALTRIAL

ClinicalTrials.gov NCT04510883; https://clinicaltrials.gov/ct2/show/NCT04510883

INTERNATIONAL REGISTERED REPORT

RR2-10.2196/22186
Participatory Design of a Mobile App to Safeguard Mental Resilience in the Context of Drug Use in Young Adults: Multi-Method Study (Preprint)
Authors: Ben-Yehuda Ofri , Dreazen Efrat , Koren Danny , Peleg Mor
Published: November 2021

BACKGROUND

Existing mental health apps are largely not aimed at generally healthy young people who may be experimenting with addictive substances and mind-altering experiences.

OBJECTIVE

The aim of this study is to examine the interest and expectations of young people regarding a proposed smartphone app designed to help protect and promote mental health and resilience in the face of risks associated with substance use.

METHODS

The study was based on agile system development and had 3 empirical substudies. Our feasibility study (study 1) included an anonymous questionnaire that examined the potential interest of young people in this type of app. It was answered by 339 Israelis aged 18-30 years. The second part of the feasibility study was a pilot study with 1.2% (4/339) of the people who answered the questionnaire and expressed interest in participating in a focus group. They tested and refined the elements planned for the focus groups. Study 2 was a participatory design study involving 7 focus groups of 5 to 7 participants each (young people aged 18-35 years, n=38). Persona development, open discussion, and a Technology Acceptance Model questionnaire were used to elicit user expectations and requirements for the app and to understand the perceived usefulness and usability of the proposed features. Study 3 comprised in-depth interviews with experts in the field of youth mental health and drug use to enlist their professional opinion regarding the value of such an app and recommendations about the features it should include.

RESULTS

The mock-up for the proposed app had five key features: personalized assessment of risk for a drug-associated mental crisis, support for self-monitoring, useful information (eg, warning signs and first-aid guidelines), resilience-building exercises, and a support center. Participants rated highly the usefulness of all 5 main features and 96% (24/25) of the specific features we proposed within those main categories. The participants also suggested additional features as well as a new user persona we had not considered: the parents or family members of the young person. The focus groups rated highly the perceived usability of the app. Most of the experts saw value in all the main features and suggested specific knowledge sources for the app’s content. Finally, participants of both the feasibility study and the participatory design study expressed moderate to high interest in using the app for self-help and high interest in using the app to help friends.

CONCLUSIONS

The findings provide preliminary encouraging support for the 5 main features suggested by the research team and reinforce recommendations for mobile health apps found in the literature. The findings emphasize the insight that this kind of app should be designed primarily for use by individuals seeking to help others.
The Relationship Between Food Security and Dietary Patterns Status with COVID-19 in Northeastern Iran: Protocol for a Case-Control Study (Preprint)
Authors: Badri-Fariman Sepideh , Pourghassem-Gargari Bahram , Badri-Fariman Mahtab , Pourfridoni Mohammad , Daneshi-Maskooni Milad
Published: November 2021

BACKGROUND

Food insecurity is defined as the limited or uncertain availability of enough food for a consistently active and healthy life. Coronavirus disease of 2019 (COVID-19) is a highly transmissible viral infection with high mortality due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and, or the uncommon severe pneumonia.

OBJECTIVE

This study assesses the relationship between food security and dietary patterns status with COVID-19 in the North Khorasan province, Iran.

METHODS

This case-control study will be conducted in the men and women aged 20-60 years improved from COVID-19 infection. The cases (n=124) and controls (n=124) were selected according to the eligibility criteria, including recently improved COVID-19 according to the positive COVID-19 PCR test. People referred to public and private laboratories or employees of public and private factories, offices, and departments of hospitals and universities (for the cases) and negative PCR tests without any clinical signs of COVID-19 infection (for the controls). The North Khorasan province was the target place. The groups are matched for age, sex, and body mass index (BMI). The assessments will include anthropometric measurements and general demographic, USDA 18-item food security (18item-FSSM), and 147-item food frequency (FFQ) questionnaires. Finally, the determination of the relationship between food security and dietary patterns status and associated socioeconomic factors with COVID-19 is done. P-value will be <0.05.

RESULTS

This study received approval from the Tabriz University of Medical Sciences. Participation is free, and a patient can withdraw at whatever point the person feels they are unable to continue. There is no bar to receiving the other health care services of the center. Data collection and analysis are expected to conclude by January 2022.

CONCLUSIONS

This study would be the first assessment of the relationship between food security and dietary patterns status with COVID-19 disease. It may help planners and policymakers to manage food insecurity and unhealthy dietary patterns and later increase the immune system and decrease the incidence of COVID-19. Further studies are suggested.

CLINICALTRIAL

N/A
Recommendations for Researchers on Synchronous, Online, Nominal Group Sessions in Times of COVID-19: Fishbone Analysis (Preprint)
Authors: Timmermans Lotte , Huybrechts Ine , Decat Peter , Foulon Veerle , Van Hecke Ann , Vermandere Mieke , Schoenmakers Birgitte
Published: November 2021

BACKGROUND

In times of COVID-19, we are challenged to experiment with alternative platforms or software to connect people. In particular, the struggle that arose in health research was how to interact with patients and care professionals. The latter is additionally faced with an extreme workload to fight the pandemic crisis. Creative strategies have been developed to continue research among patients and care professionals to improve quality of care. This paper addresses the issue of synchronous, online, nominal group sessions, a common consensus method used for group brainstorming.

OBJECTIVE

The purpose of this study was to share our experiences with performing online, nominal group sessions using the video conference software Microsoft Teams. In addition, we aimed to create a practical guide with recommendations for researchers.

METHODS

We critically analyzed the procedures for the online nominal group technique, according to the Fishbone methodology.

RESULTS

Performing synchronous, online, nominal group sessions is challenging but offers opportunities. Although interaction with and among the attendees complicates the process, the major advantage of online sessions is their accessibility and comfort because of reduced barriers to participation (eg, lower time investment). The role of the moderators is of major importance, and good preparation beforehand is required. Recommendations for future online, nominal research were formulated.

CONCLUSIONS

Online, nominal group sessions seem to be a promising alternative for the real-life commonly used technique. Especially during the COVID-19 pandemic, the benefits must be highlighted. More expertise is needed to further refine the practical guide for using digital software in research and to achieve optimal performance.
Outcomes Following eHealth Weight Management Interventions in Adults With Overweight and Obesity From Low Socioeconomic Groups: Protocol for a Systematic Review (Preprint)
Authors: Myers-Ingram Richard , Sampford Jade , Milton-Cole Rhian , Jones Gareth David
Published: November 2021

BACKGROUND

Obesity is a complex health condition with multiple associated comorbidities and increased economic costs. People from low socioeconomic status (SES) backgrounds are more likely to be overweight and obese and are less successful in traditional weight management programs. It is possible that eHealth interventions may be more successful in reaching people from low SES groups than traditional face-to-face models, by overcoming certain barriers associated with traditional interventions. It is not yet known, however, if eHealth weight management interventions are effective in people living with overweight and obesity from a low SES background.

OBJECTIVE

The primary aim of this study is to evaluate the efficacy of eHealth weight management interventions for people with overweight and obesity from low SES groups.

METHODS

A systematic review on relevant electronic databases (MEDLINE, Embase, Emcare, and CINAHL) will be undertaken to identify eligible studies published in English up until May 2021. Using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement to guide the systematic review, two reviewers will independently screen, select, and extract data and complete a risk of bias assessment of search results according to predefined criteria. Studies that have investigated an eHealth weight management intervention within a low SES population will be included. Primary outcomes include weight, BMI, and percentage weight change compared at baseline and at least one other time point. Secondary outcomes may include a range of anthropometric and physical fitness and activity measures. If sufficient studies are homogeneous, then we will pool results of individual outcomes using meta-analysis.

RESULTS

Searches have been completed, resulting in 2256 studies identified. Once duplicates were removed, 1545 studies remained for title and abstract review.

CONCLUSIONS

The use of eHealth in weight management programs has increased significantly in recent years and will continue to do so; however, it is uncertain if eHealth weight management programs are effective in a low SES population. The results of this systematic review will therefore provide a summary of the evidence for interventions using eHealth for people living with overweight and obesity and from a low SES background.

CLINICALTRIAL

PROSPERO International Prospective Register of Systematic Reviews CRD42021243973; https://tinyurl.com/2p8fxtnw

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/34546
Blockchain Affordances for Digital Health- A Conceptual Framework and Research Agenda (Preprint)
Authors: Zahid Arnob , Wingreen Stephen C. , Sharma Ravishankar
Published: November 2021

BACKGROUND

The current digital health context is incapable of supporting the future need for data security and storage in digital health services. It requires implementing a robust, interoperable, and scalable data storage and security solution to address this future need. Blockchain is an emerging information technology that can support this industry's timely needs. Therefore, a clear foundational understanding of Blockchain affordances for digital health is significant to harness its full potential.

OBJECTIVE

Objective: This paper presents a comprehensive review of Blockchain affordances for digital health. The review aims to: 1) identify the perceived Blockchain affordances and 2) explore the recent Blockchain research in digital health (actualized).

METHODS

We applied the Systematic Literature Review (SLR) methodology to review the literature extant. Furthermore, we applied the affordance theory lens to define and defend our findings on Blockchain affordances.

RESULTS

A total of 3627 relevant papers have been identified and analysed in this review study. Of these, 90 were probed deeply. Our analysis identified 14 Blockchain affordances (Access control, Interoperability, Security, Tamper-resistance, Traceability, Anonymity, Data Provenance, Identity, Immutability, Integrity, Privacy, Transparency, and Trust) which are perceived and actualized in digital health. Our study also discovered several constraints in Blockchain implementation such as security and privacy, interoperability, scalability, and infrastructural support that requires further research attention.

CONCLUSIONS

We believe this study will guide further Blockchain research in the digital health domain and informatively contribute to eliminating (decreasing) the dark side of digital health and improving (increasing) the bright side for the future.
Improving Communication Ability of a Child with Selective Mutism Through “Kita Semua Sahabat” Training
Authors: Wijayanti Puspita Adhi Kusuma , Murtini Murtini
Published: November 2021

Selective Mutism (SM) is characterized by failure to speak at some period of time in specific social situations (e.g., at school), but can talk in other familiar situations (home). This study aimed to determine the effectiveness of ‘Kita Semua Sahabat’ in improving communication skills in children with SM. The subject was a 5 year-old boy who had been diagnosed based on DSM-V. The research design was a single case experimental design. Interventions were performed using the technique of stimulus fading and contingency management which were packed through the training of ‘Kita Semua Sahabat’. The result showed that there was a significant increase, and communication with stimulus (prompts) had a greater increase than communication without stimulus (child’s initiation). The research showed that Training ‘Kita Semua Sahabat’ is effective to increase communication among children with SM, and more frequent verbal communication happens if more stimuli were given to the child.
Empathic Love Therapy to Reduce Depression among Female Victims of Domestic Violence
Authors: Saragih Sustriana , Yuniarti Kwartarini Wahyu
Published: November 2021

Female victims of domestic violence often experience depression. This research used Empathic Love Therapy (ELT) to reduce depressive symptoms, by enabling individual to understand one-self deeper by realizing, understanding, accepting, and loving all aspects of the self, which is the early process of healing. This research is quasi-experiment research using a single group simple interrupted time series design. Five women aged 30-60 years old who experience depression, based on BDI (Beck Depression Inventory) score, participated in an eight-session therapy. Participants were recruited purposively based on theory-based or operational construct sampling. Data analysis combined quantitative and qualitative methods, of which Wilcoxon Signed Ranks Test was used for quantitative analysis, whereas qualitative analysis adopted a descriptive analysis. Quantitative findings significant difference in BDI score between before and after treatment (Z = -2.023 with p=  0.043<0.05). Qualitative findings showed that participants were able to find survival personality that emerged from past painful experiences and plays a role in the depression symptoms they are currently experiencing. With the power of love they find from God, they are able to accept themselves, and focus their lives on their potential and positive future plans. Therefore, it can be concluded that Empathic Love Therapy is effective to be used to reduce depressive symptoms.
Incidence and prognostic significance of myocardial injury after elective percutaneous coronary intervention in Duhok, Iraq
Authors: Mohammad Ameen Mosa , Guelker Hartmut K , Sheikhow Sabri K
Published: November 2021

Objective: This study aims to look at the incidence of myocardial injury after elective percutaneous coronary intervention (PCI) and to correlate its effect to midterm clinical outcome.
Methods: A total of 182 patients were enrolled. Their mean age was (57.44Â±9.15) years. They were undergoing elective PCIs in Azadi heart center, Duhok, Iraq. Cases with positive cardiac troponin (cTn) pre-procedural were excluded. Within first 24-hours after PCI (cTn) was estimated. And then after all patients were followed for 12 months for major adverse cardiac events (MACE).
Results: 36(19.8%) out of 182(100%) had elevated cTn. Those patients with elevated cTn had a statistically significant higher rate of prior CABG, ECG changes, triple vessels disease, type C lesions, post stent balloon dilatation and more periprocedural side branch jeopardy and coronary dissections compared to those with negative cTn (pâ‰¤0.05). During follow up; the MACE was higher in patients with positive cTn (log rank=0.04).
Conclusions: Minor myocardial injury after elective PCI is common. Itâ€™s associated with procedural complexity and stratified patients at risks of worse prognosis.
Single Center Study of Vaccination Breakthrough infection with SARS-CoV-2 Among Erbil Population in August 2021
Authors: Al-Khayat Zakarea Abdullah Yaseen , Faqi Sharmeen Qadr , Hasan Dlshad Abdullah , Falo Dalia Yaqoub
Published: November 2021

Objectives: This is a first study to determine the incidence of  COVID-19 infection in the post-vaccinated in Erbil city population.
Methods: This prospective study was conducted   in the Central Health Laboratory  in Erbil City over  a period from  1st to 31st of August 2021. All vaccinated & non vaccinated  persons  (18 years of age and above) who had  symptoms suggestive of COVID-19 were engaged  in  the study . Nasopharyngeal swabs were collected   and examined for SARS-CoV-2 by real-time RT-PCR implemented  to all attendance  according to World Health Organization guidelines.
Results: A total of 2934 persons  had attended   the Central Laboratory for checking  during the study period. From  this total number,551 (18.8% ) were vaccinated while 2383  were nonvaccinated (81.2%). Sixty one persons (61, 11.1%) of the vaccinated group showed  a positive PCR . The highest incidence  of PCR   positivity according to age  range , gender  and vaccine  dose , were as follows: male (42; 68.9%), 33â€“47 years (36; 59%), second dose  (36; 59%) respecÂ­tively. Statistically, the difÂ­ferences of distribution of the PCR positivity concerning the these  factors  were : non-significant . The higher incidence of PCR positivity  was among the nonvaccinated group ( 449,18.8% ) and statistically, the differences of distribution of the PCR  positivity between both groups of vaccinated and the nonvaccinated  was significant (p â‰¤ 0.05).
Conclusions: Primarily the present study conclude that SARS-CoV-2 incidence among vaccinated persons was 11.1%. Overall the present  data provides further assurances of the effectiveness of the vaccines even when the vaccine was not able to prevent  completely  the infection . Further studies are needed to explore this topic.
Comparison of Robust Estimators’ Performance for Detecting Outliers in Multivariate Data
Authors: Syed Abd Mutalib Sharifah Sakinah , Satari Siti Zanariah , Wan Yusoff Wan Nur Syahidah
Published: November 2021

In multivariate data, outliers are difficult to detect especially when the dimension of the data increase. Mahalanobis distance (MD) has been one of the classical methods to detect outliers for multivariate data. However, the classical mean and covariance matrix in MD suffered from masking and swamping effects if the data contain outliers. Due to this problem, many studies used a robust estimator instead of the classical estimator of mean and covariance matrix. In this study, the performance of five robust estimators namely Fast Minimum Covariance Determinant (FMCD), Minimum Vector Variance (MVV), Covariance Matrix Equality (CME), Index Set Equality (ISE), and Test on Covariance (TOC) are investigated and compared. FMCD has been widely used and is known as among the best robust estimator. However, there are certain conditions that FMCD still lacks. MVV, CME, ISE and TOC are innovative of FMCD. These four robust estimators improve the last step of the FMCD algorithm. Hence, the objective of this study is to observe the performance of these five estimator to detect outliers in multivariate data particularly TOC as TOC is the latest robust estimator. Simulation studies are conducted for two outlier scenarios with various conditions. There are three performance measures, which are pout, pmask and pswamp used to measure the performance of the robust estimators. It is found that the TOC gives better performance in pswamp for most conditions. TOC gives better results for pout and pmask for certain conditions.
Some Properties and Applications of Topp Leone Kumaraswamy Lomax Distribution
Authors: Ibrahim Sule , Doguwa Sani Ibrahim , Isah Audu , M. Jibril Haruna,
Published: November 2021

Many Statisticians have developed and proposed new distributions by extending the existing distributions. The distributions are extended by adding one or more parameters to the baseline distributions to make it more flexible in fitting different kinds of data. In this study, a new four-parameter lifetime distribution called the Topp Leone Kumaraswamy Lomax distribution was introduced by using a family of distributions which has been proposed in the literature. Some mathematical properties of the distribution such as the moments, moment generating function, quantile function, survival, hazard, reversed hazard and odds functions were presented. The estimation of the parameters by maximum likelihood method was discussed. Three real life data sets representing the failure times of the air conditioning system of an air plane, the remission times (in months) of a random sample of one hundred and twenty-eight (128) bladder cancer patients and Alumina (Al2O3) data were used to show the fit and flexibility of the new distribution over some lifetime distributions in literature. The results showed that the new distribution fits better in the three datasets considered.
Acalvaria in a Malian girl: a new surviving case
Authors: Cissé Lassana , Diarra Salimata , Yalcouyé Abdoulaye , Coulibaly Youlouza , Tamega Abdoulaye , Maiga Alassane Baneye , Traoré Oumou , Kotioumbé Mahamadou , Sangaré Moussa , Diallo Seybou Hassane , Diallo Salimata , Bah Hamidou O , Simaga Assiatou , Issa Koné Fatogoma , Coulibaly Thomas , Samassékou Oumar , Guinto Cheick , Landouré Guida
Published: November 2021

Acalvaria is a rare and lethal congenital malformation characterized by
the absence of the cranial vault bones, dura mater and associated
muscles with complete cranial content. We report a 5-year-old Malian
girl seen at 20 months old for facial dysmorphia, hemiparesis, and a
cranial bone defect that improved progressively.
The Effect of Online Solution-Focused Support Program on Parents with High Level of Anxiety in the COVID-19 Pandemic: A Randomized Controlled Study
Authors: Zengin Mürşide , Başoğul Ceyda , Yayan Emriye Hilal
Published: November 2021

Aim:The aim of this study was to determine the
anxiety levels of parents with children aged 3-6 years due to the
Coronavirus Disease-2019 (COVID-19) pandemic and to examine the effects
of Solution-Focused Support Program (SFSP) applied to parents with high
level of anxiety.

Methods: The study was conducted as a parallel-group,
randomized controlled design. The sample of the study consisted of 77
parents who were randomly assigned to the experimental and control
groups (control group n = 40; intervention group n = 37). One session of
online SFSP was applied to the intervention group each week and 4
sessions were applied in total. No intervention was applied to the
control group. The data were collected using introductory information
form and State-Trait Anxiety Inventory (STAI). Statistical Package for
the Social Sciences (SPSS) programme and Analysis of Moment Structures
(AMOS) 23 application were used in the analysis of the data.  Structural
Equation Modeling (SEM) was used to examine a hypothesized model that
SFSP has both direct and indirect effects on anxiety levels of parents.

Results: The state and trait anxiety mean scores of the
intervention group decreased compared to the pre-intervention mean
scores after the implemented programme. While this difference between
state anxiety scores was statistically significant (p≤ .001), the
difference between trait anxiety scores was not statistically
significant (p> .05). There was no statistically
significant difference between the pre-test and post-test STAI total
scores of the control group.

Conclusions: In the study, it has been found that SFSP applied
to parents with high level of anxiety is an effective method in reducing
the state anxiety levels of parents.

Clinical trial number: NCT04609722 (Registration date:
30.10.2020)
PE-DCA: Penalty elimination based data center allocation technique using guided local search for IaaS cloud
Authors: Parida Sasmita , Pati Bibudhendu , Nayak Suvendu , Panigrahi Chhabi , Weng Tien-Hsiung
Published: November 2021

In Cloud computing the user requests are passaged to data centers (DCs) to accommodate resources. It is essential to select the suitable DCs as per the user requests so that other requests should not be penalized in terms of time and cost. The searching strategies consider the execution time rather than the related penalties while searching DCs. In this work, we discuss Penalty Elimination-based DC Allocation (PE-DCA) using Guided Local Search (GLS) mechanism to locate suitable DCs with reduced cost, response time, and processing time. The PE-DCA addresses, computes, and eliminates the penalties involved in the cost and time through iterative technique using the defined objective and guide functions. The PE-DCA is implemented using CloudAnalyst with various configurations of user requests and DCs. We examine the PE-DCA and the execution after-effects of various costs and time parameters to eliminate the penalties and observe that the proposed mechanism performs best.
RICNN: A ResNet&Inception convolutional neural network for intrusion detection of abnormal traffic
Authors: Xia Benhui , Han Dezhi , Yin Ximing , Na Gao
Published: November 2021

To secure cloud computing and outsourced data while meeting the requirements of automation, many intrusion detection schemes based on deep learning are proposed. Though the detection rate of many network intrusion detection solutions can be quite high nowadays, their identification accuracy on imbalanced abnormal network traffic still remains low. Therefore, this paper proposes a ResNet &Inception-based convolutional neural network (RICNN) model to abnormal traffic classification. RICNN can learn more traffic features through the Inception unit, and the degradation problem of the network is eliminated through the direct mapping unit of ResNet, thus the improvement of the model?s generalization ability can be achievable. In addition, to simplify the network, an improved version of RICNN, which makes it possible to reduce the number of parameters that need to be learnt without degrading identification accuracy, is also proposed in this paper. The experimental results on the dataset CICIDS2017 show that RICNN not only achieves an overall accuracy of 99.386% but also has a high detection rate across different categories, especially for small samples. The comparison experiments show that the recognition rate of RICNN outperforms a variety of CNN models and RNN models, and the best detection accuracy can be achieved.
RACIAL RESPONSIBILITY REVISITED
Authors: Taylor Robert S.
Published: November 2021

A common claim in the philosophy-of-race literature is that the unearned benefits of whiteness can by themselves burden their recipients with special antiracist obligations, that is, that these benefits can impose duties unilaterally, without the mediation of their recipients’ wills, and that these duties go beyond our general antiracist duties, which derive from our common liberal-democratic citizenship and shared humanity. I will argue against this claim, though I acknowledge that there may be duties that follow from these benefits when they are combined with the affirmation or assertion of, assent to, or even mere acquiescence in white identity. Without such ratification, however, there will be no basis for either special white duties or a distinctively white guilt.
Characterization of Cowhage-induced Pruritus in Sensitive Skin: An Observational Laboratory Study
Authors: Zuo Ying , Jiang Ping , Wan Ruoyu , Li Li , Gong Qiyong , Hua Wei
Published: November 2021

Sensitive skin is a prevalent syndrome, characterized by discomfort in response to mild stimuli, which impacts on quality of life. Pruritus is one of the major symptoms of sensitive skin. However, the pathomechanism of sensitive skin is insufficiently understood. As an experimental model for pruritus, the cowhage skin prick test might provide insight into the understanding of sensitive skin. This study aimed to specify the characteristics of cowhage-induced pruritus in sensitive skin. Female volunteers, 20 with sensitive skin and 20 controls, were recruited. Self-report questionnaires were distributed and the responses evaluated; moreover, alongside assessments by dermatologists, skin physiology assessments, lactic acid sting test, capsaicin test and cowhage skin challenge were performed. Pruritus in sensitive skin was perceived as more intense and longer-lasting than in normal skin, with different qualities of accompanying sensations. Cowhage skin challenge results showed moderate consistency with clinical assessments. The results suggest that cowhage skin challenge could be a new tool for the assessment of sensitive skin.
Wear resistance of laser cladding Fe50Cr40Si10 coating on AISI 1045 steel in elevated temperature
Authors: Ma Rucheng , Gui Yongliang , Ma Wenyou , Qin Tieyu , Deng Zhaoyang , Chu Qingkun , Ma Qing
Published: November 2021

To improve the high-temperature wear resistance of a substrate, in this study, Fe50Cr40Si10 coating was prepared on AISI 1045 steel by the laser cladding technique and the microstructure was characterized by using an optical microscope (OM), scanning electron microscopy (SEM), and X-ray diffraction (XRD). The results show that the coating with a fine and uniform microstructure has a good metallurgical bond with the AISI 1045 steel substrate. The upper layer of the coating is composed of typical equiaxed grains, and the bottom layer has columnar grains. The XRD pattern shows that the phase compositions are Fe-based solid solution (α phase) with Cr and Si and Fe-Cr intermetallics (α′ phase). The average microhardness of the coating is approximately 530 ± 37.5 HV0.5. The elevated-temperature dry sliding wear resistance of laser cladding Fe50Cr40Si10 coating was carried out on a pin-on-disk mode machine at different temperatures and loads. Under the same wear test conditions, the elevated-temperature wear rates of Fe50Cr40Si10 coating were much lower than those of AISI 1045 steel. When the load was 30 N, it was found that the wear mechanism of Fe50Cr40Si10 coating changed from abrasive wear and adhesive wear to oxidation wear with the increase in temperature. At the wear test temperature of 300 °C, the wear mechanism of the coating changed from oxidation wear to abrasive wear and adhesive wear with the increase in loads.
The application of computational fluid dynamics to the modelling and design of high-speed boats
Authors:   , Townsend Jack
Published: November 2021

Computational ﬂuid dynamics solvers were applied to the ﬁeld of high-speed boat design. The lattice Boltzmann method was used to assess the water-phase of the ﬂow around a number of high-speed hullform geometries, and was validated against empirical industry and literature data. A heave dynamics capability was developed to assess the heave equilibrium position of a high speed boat, showing close agreement with industry data. A mesh movement and evolutionary optimisation software was applied to the aero-dynamic optimisation of a high-speed catamaran using a Reynolds-averaged Navier-Stokes solver for modelling of the air phase of the ﬂow.
DESIGN OF WEB-BASED INFROMATION SYSTEM FOR THE BUNG HATTA UNIVERSITY PROFESSIONAL CERTIFICATION INSTITUTE
Authors: Novaliendry Dony , Azkia Afiful
Published: November 2021

Professional certification is an effort to recognize a person's competence by the required work competency standards. Bung Hatta University Professional Certification Institute (LSP) is an agency implementing competency certification activities that have received a license from the National Professional Certification Agency (BNSP) to certify students from various fields of science and professions at Bung Hatta University. Bung Hatta University LSP has the status of the first party LSP educational institutions. The registration process for certification at the Bung Hatta University LSP is still done manually by filling in several paper forms. This is considered ineffective considering the current technological advances. By developing a website-based information system, this can be overcome. The purpose of designing a website-based information system is to produce an information system that can assist the certification process and can be accessed by any relevant user anytime and anywhere. This information system was developed using the waterfall method. This method has several stages, namely the needs analysis, design, implementation, and testing stage. The design of this information system used Unified Modeling Language (UML) and implemented using the Yii2 framework as a PHP framework and MySQL as a Database Management System (DBMS). The design of this information system resulted in a web-based Information System for Bung Hatta University LSP, which focused on the initial administrative process.
Komitmen Organisasi Karyawan dan Pengaruhnya terhadap Organizational Citizenship Behavior (OCB)
Authors: Halimsetiono Elita , Santosa Winnie Nirmala
Published: November 2021

Komitmen merupakan bentuk yang penting dan mendasar yang mana konsep tersebut banyak digunakan dalam penilaian sikap individu di berbagai lingkungan, termasuk juga lingkungan perguruan tinggi. Dalam beberapa penelitian terdahulu, telah ditemukan adanya hubungan antara komitmen organisasi dan OCB, dimana semakin tinggi komitmen organisasi, maka akan semakin tinggi pula OCB yang dimiliki. Penelitian yang bersifat analitik observasional dengan rancang bangun cross-sectional ini bertujuan menganalisis pengaruh komitmen organisasi terhadap OCB karyawan di Universitas Surabaya. Sejumlah 190 orang karyawan tetap (non dosen) dari 27 unit kerja di Universitas Surabaya menjadi sampel penelitian ini. Metode pemilihan sampel yang digunakan adalah quota sampling. Pengumpulan data menggunakan kuesioner yang berisikan skala komitmen organisasi dan OCB. Mayoritas karyawan memiliki komitmen organisasi dan OCB tingkat sedang. Secara simultan, analisis regresi linier berganda menunjukkan baik komitmen organisasi maupun karakteristik demografi memiliki pengaruh yang bermakna terhadap OCB. Secara parsial, komitmen normatif maupun tingkat pendidikan memiliki pengaruh yang bermakna dan positif terhadap OCB. OCB karyawan lebih dipengaruhi oleh komitmen normatif daripada tingkat pendidikan. Hasil penelitian ini penting sebagai bahan masukan bagi organisasi agar lebih memperhatikan kedua aspek tersebut dalam meningkatkan OCB karyawannya, dan juga untuk menambah pengetahuan mahasiswa Fakultas Kedokteran Universitas Surabaya tentang aspek-aspek yang berperan dalam pengelolaan sumber daya kesehatan.
Revitalizing Educations to Realize a New Business Platform in Indonesia
Authors: Tayibnapis Ahmad Zafrullah , Lucia Endang Wuryaningsih  , Radita Gora
Published: November 2021

Abstract—Companies must build new business models and platforms to survive in an uncertain business climate, economic disruption wave, and the COVID-19 pandemic. As the anticipation of all ecosystems changes, companies need superior human resources, actively carry out corporate transformation programs, and implement good corporate governance values to avoid moral hazards and a greater risk of failure. Revitalization of education, supported by corporate universities, workshops, internships, and comparative studies, can produce superior human resources and realize new business platforms in Indonesia. This qualitative research relies on data triangulation to interpret the phenomenon of link and match.

Keywords: revitalization, business platform, education, transformation, human resources

Abstrak—Kebutuhan membangun model dan platform bisnis baru perusahaan bertahan dalam iklim bisnis yang tidak menentu, gelombang gangguan ekonomi, dan pandemi COVID-19. Sebagai antisipasi segala perubahan ekosistem, perusahaan membutuhkan sumber daya manusia yang unggul, aktif melaksanakan program transformasi perusahaan, dan menerapkan nilai-nilai tata kelola perusahaan yang baik untuk menghindari moral hazard dan risiko kegagalan yang lebih besar. Revitalisasi pendidikan yang didukung oleh corporate university, workshop, magang, dan studi banding, dapat menghasilkan sumber daya manusia yang unggul dan mewujudkan platform bisnis baru di Indonesia. Penelitian kualitatif ini bertumpu pada triangulasi data untuk menginterpretasikan fenomena link and match.

Kata kunci: revitalisasi, platform bisnis, pendidikan, transformasi, sumber daya manusia