bluuebunny/crossref_metadata_2025 huggingface dataset:
THE INFLUENCE OF TRANSFORMATIONAL LEADERSHIP STYLE ON WORK ENGAGEMENT REMUNERATION DIMEDIATION AND EDUCATOR MOTIVATION
Authors:   Business Administration Department, Politeknik Negeri Malang, Indonesia, Nurtjahjani Fullchis , Wenand Batilmurik Ridolof ,   Business Administration Department, Politeknik Negeri Kupang, Indonesia, Dwi Pribadi Joni ,   Business Administration Department, Politeknik Negeri Kupang, Indonesia
Published: March 2021

The purpose of this study was to analyze the direct effect of transformational leadership on work engagement and the indirect effect mediated by remuneration and educator motivation. This type of research is positivist research. The object of this research is the lecturer at State Polytechnic of Malang. The population in this study amounted to 182 lecturers of Malang State Polytechnic. The sampling technique used census techniques, all populations were used as research samples. The analytical tool used is the Partial Least Square Smart Program (PLS) based on the Variance Based Structural Equation Modeling (SEM) approach. The results show that Transformational Leadership affects Work Engagement, Remuneration does not mediate the effect of Transformational Leadership on Work Engagement, Educator Motivation mediates the Effect of Transformational Leadership on Engagement. Implementation of Remunerationneed to be repaired to meet related to the performance of supporting activities, indirect rewards, research performance, the performance of teaching/lectures, the performance of community service. Future researchers are expected to research teaching staff at all levels of office.
VALUATION OF SERVICE QUALITY AND INNOVATION OF BOGOR CITY PUBLIC SERVICE MALL
Authors:   Management Science Study Program, Institut Pertanian Bogor, Alan Surawijaya Angga , Muljono Pudji ,   Faculty of Economics and Management, Institut Pertanian Bogor, Najib Mukhamad ,   Faculty of Economics and Management, Institut Pertanian Bogor
Published: March 2021

The purpose of this study was to determine the effect of service quality and innovation on visitor satisfaction and loyalty in Bogor City Public Service Mall. Another thing that also needs to be answered from this study is whether there is an effect of customer satisfaction on loyalty in using the services of the Bogor City Public Service Mall. This study used primary data that were collected via interviews and questionnaires distribution to 81 MPP Kota Bogor visitors who were selected by purposive sampling method. The analysis used in this research is modeling analysis using Structural Equation Modeling with the Partial Least Square (PLS) method. The results of this study indicate that service quality has a significant effect on visitor satisfaction and loyalty. Another result is that innovation has a significant effect on visitor satisfaction, but has no significant effect on visitor loyalty. This study also shows that visitor satisfaction has a significant effect on visitor loyalty. Further research is needed with a broader model to explain the diversity of satisfaction and loyalty variables. It is also necessary to conduct a study comparing the services in the Bogor City MPP with the services in the original institution in terms of the level of satisfaction and loyalty of the community.
A MODEL TO MEASURE EMERGENT LEADERSHIP﻿ AMONG EMPLOYEES IN INDONESIA
Authors:   Magister Management, Universitas Esa Unggul, Jakarta, Indonesia, Siregar Juliana , Anindita﻿ Rina ,   Magister Management, Universitas Esa Unggul, Jakarta, Indonesia
Published: March 2021

The objective of the research is to develop a model to measure emergent leadership among employees in Indonesia. In doing so, this study first developed a theoretical model by identifying the emergent leadership constructs from the literature and identifying the criteria measurement of these constructs from the literature and thirdly was to validate the theoretical model to measure emergent leadership in Indonesia. The theoretical model consists of 6 emergent leadership constructs measured by a total of 60 measuring criteria. The empirical process of the validation employed data collected from 350 respondents who were working with the team working in Jakarta, Banten, and West Java. The validation aimed to validate the variables that were used to measure each of the constructs by determining statistically that the sample number is adequate; using the Keiser-Meier-Olkin and Bartlett’s test to ensure the applicability of the data for multivariate statistical analysis; to validate the measuring criteria as relevant to emergent leadership and to determine the reliability of each of the emergent leadership constructs to the model. The result showed that emergent leadership can be measured by the following indicators: dominant, friendly, egocentric, intelligence, creativity, open mind, experiences, caring, positive vibes, discipline, good planner, conscientiousness, team player, communicative, and performance management for knowledge-skills-attitude. Furthermore, the results of this study found that the variable of the construct performance management from the previous research was in the third dominant value.
BARRIERS TO ICT ADOPTION BY SMEs IN INDONESIA: HOW TO BRIDGE THE DIGITAL DISPARITY?
Authors:   Ministry of Communication and Information Technology, the Republic of Indonesia Graduate School of Economics, Universitas Sebelas Maret, Muljono Wiryanta , Setiyawati Sri ,   Department of Management, Faculty of Economics and Business, Universitas Sebelas Maret, Sudarsana Sudarsana ,   Department of Sociology, Faculty of Social and Political Sciences, Universitas Sebelas Maret, Pertiwi Setiawati Priyanka ,   Department of Ocean Engineering, Institut Teknologi Sepuluh Nopember
Published: March 2021

The use and utilization of ICT for SMEs attract the attention of many parties. The problems of SMEs in Yogyakarta, Indonesia that is so diverse cannot be simplified on the issue of technology adoption. Moreover, increasing competitiveness is necessary so that ICT can truly be a bridging digital disparity. The action research activity is carried out to close the gap which not only focuses on understanding the pattern of technology adoption alone but also involves action steps in helping SMEs to survive and able to compete. The results showed that the SMEs still had difficulty in utilizing ICT from the upstream side. This is triggered by the limitations of existing human capital in managing technical and operational aspects of ICT. Therefore, the strategies to use of ICT for SMEs is recommended to combine a proactive and reactive approach so that the optimization of resources will be achieved. Accordingly, we suggest that further studies apply the implementation of ICT on proactive and reactive actions to close the knowledge gap between the two in a different setting, context, location, and/or culture.
REAL DESCRIPTION REGARDING THE MANAGEMENT OF HUMAN RESOURCE AND TOURISM MARKETING AT MICRO, SMALL AND MEDIUM ENTERPRISES OF TOURISM SECTOR IN EAST JAVA
Authors:   Magister of Management, Universitas Widyagama Malang, Hermawati Adya , Ramlawati Ramlawati ,   Moslim University of Indonesia Makassar, Husin Husin ,   Department of Accounting, Economics and Business Faculty, Halu Oleo Universitas Kendari, Nurwati Nurwati ,   Department of Management, Economics and Business Faculty, Halu Oleo Universitas Kendari, Martaleni Martaleni ,   Departement of Management, Universitas Gajayana Malang
Published: March 2021

To analyze and obtain the real description regarding the management of human resource at Micro, Small and Medium Enterprises (MSMEs) of Tourism Sector, which is understood through five aspects, which respectively are Transglobal Leadership, Job Involvement, Quality of Work Life, Organizational Citizenship Behavior, and Human Resource Performance. besides that, it is also necessary to understand the management of tourism marketing, which is understood through two aspects, that are Responsibility Marketing and Competitive Sustainability Tourism. The population of this research includes all human resource personnel at MSMEs of the Tourism Sector and all foreign and domestic tourists in East Java. The sample in this study was 200 MSMEs of the Tourism Sector that are selected from 10 regions with tourism potentials in East Java Province. From each MSME, there are 4 employees and 3 tourists who are chosen as respondents. This research involved 800 employees and 600 tourists, either foreign or domestic. Analysis technique uses Biplot / Cluster Analysis, which is aimed to obtain real description concerning human resource management and tourism marketing management at MSMEs of Tourism Sector. The results show that MSMEs in the Tourism Sector with Transglobal Leadership competitive advantages are found in Sidoarjo, Kediri, Blitar, and Malang districts. The competitive advantage of Quality of Work Life is found in Malang City and Kediri City. The competitive advantage of Organizational Citizenship Behavior is in Pasuruan Regency. The competitive advantage in Human Resources Performance is in Batu City. The competitive advantage of Responsibility Marketing is in Pasuruan Regency. Competitive advantages in Competitive Sustainability Tourism are found in Pasuruan City and Blitar City. This study introduces an integrated holistic compilation of the theoretical concepts of human resource strategy and marketing strategies implemented through the concept of responsible tourism marketing, which is applied to the MSMEs in the Tourism Sector in East Java Province.
THE EFFECT OF SELF-CONGRUITY AND CELEBRITY ENDORSEMENT ON BRAND LOYALTY WITH BRAND ATTITUDE AS A MEDIATION VARIABLES
Authors:   Universitas Muhammadiyah Malang, Indonesia, Yudha Parwati Kardina , Rohman Fatchur ,   Faculty of Economics and Business, Universitas Brawijaya, Puspaningrum Astrid ,   Faculty of Economics and Business, Universitas Brawijaya
Published: March 2021

This research is conducted to analyze the effect of cognition and affection factors on consumer loyalty, the object used in this research is the consumer of local fashion product Cotton Ink. The main purpose of this research is to analyze and describe the relationship between self-congruity, celebrity endorsement, brand attitude, and brand loyalty. Besides, this research analyzes the role of brand attitude as the mediating variable of the relationship between self-congruity and celebrity endorsement toward brand loyalty. This research contribution is giving additional insight into the relationship between variables on the Cognition-Affect-Behavior Paradigms.
THE CONCEPT OF FLOW AS MEDIATING VARIABLES ON THE RELATIONSHIPS BETWEEN PERCEIVED USEFULNESS WITH REPURCHASE INTENTION
Authors:   Faculty of Economics, Universitas Islam Sultan Agung, Semarang, Indonesia, Nurcholis Lutfi , Miftaqulkismay Sita ,   Faculty of Economics, Universitas Islam Sultan Agung, Semarang, Indonesia
Published: March 2021

In the existing literature, studies rarely found in the context of mobile shopping incorporate the concept of flow in their research. This study aims to examine and analyze the role of the concept of flow in which three dimensions of flow are chosen, including flowconcentration, flow-control, and flow-enjoyment as an intervening variable to perceived usefulness and purchase intention through Shopee shopping services. The concept of flow related to studies with the context of mobile shopping is scarce. The type of this study is explanatory research. For this reason, this study had been examined 153 respondents who have used Shopee shopping services. Data were collected using a questionnaire and analyze for in-depth studies of related variables. The results show that the concept of flow from the three dimensions is proven to be an intervening variable between perceived usefulness and repurchase intention. Future exploration additionally can be applied to the business division with a bigger scope and more extensive topographical region.
THE INFLUENCE OF SELF-SERVICE TECHNOLOGY AND CUSTOMER RELATIONSHIP MARKETING ON CUSTOMER LOYALTY MEDIATED BY CUSTOMER SATISFACTION
Authors:   Master of Management, Faculty of Economics and Business, Universitas Brawijaya, Kartika Sari Girsang Runita , Sumiati Sumiati ,   Faculty of Economics and Business, Universitas Brawijaya, Helmy Djawahir Achmad ,   Faculty of Economics and Business, Universitas Brawijaya
Published: March 2021

The purpose of this study is to explain the effect of self-service technology and customer relationship marketing on customer loyalty mediated by customer satisfaction. This research is quantitative research with an explanatory research approach. This research was conducted on customers who have an account at PT. Bank Central Asia, Tbk Tulungagung Branch, a minimum of three years is 82 respondents. Data collection uses questionnaires, documentation, and interviews with SmartPLS version 3.0 analysis tools. The result of the research shows that the direct influence of self-service technology influence on customer satisfaction and the influence of self-service technology on customer loyalty has a significant influence. The influence of customer relationship marketing on customer satisfaction and the influence of customer relationship marketing on customer loyalty has a significant influence. And, the effect of customer satisfaction on customer loyalty has a significant influence. The results of research for indirect influence, namely the influence of self-service technology on customer loyalty through customer satisfaction and influence customer relationship marketing to customer loyalty through customer satisfaction has mediation relationship. The next researcher needs to re-analyze self-service technology, customer relationship marketing as a variable that can increase customer loyalty in other companies that show different characteristics of the subjects of this study. Besides, it needs to be done on government bank customers who have certain characteristics, so that research can be generalized, namely to private companies or government companies.
Влияние внешних факторов на ширину линии ферромагнитного резонанса в структурах с обменным смещением
Authors: Джунь И.О. , Бабайцев Г.В. , Козин М.Г. , Ромашкина И.Л. , Шанова Е.И. , Чеченин Н.Г.
Published: March 2021

Extrinsic factors contributing to the ferromagnetic resonance (FMR) line width in double layer (ferromagnet/antiferromagnet) systems with exchange bias were investigated. Dependence of the FMR line width on the thickness of the antiferromagnetic (AF) layer at a constant thickness of the ferromagnetic (F) layer and layers deposition order of the F - and AF - layers, as well as the correlation between the exchange bias and the surface roughness of the sample were studied. We found that the exchange bias has a minor, if any, contribution to the line width. In systems with an antiferromagnet deposited on a ferromagnetic layer, the width of the FMR line increases in proportion to the average size of the surface roughness. In systems with reversal layer sequence the uniaxial anisotropy provides a significant contribution to the line width. The width of the FMR line is in a quadratic dependence on the uniaxial anisotropy and inversely proportional to the thickness of the antiferromagnetic layer, which can be attributed to the effect of the microstructure evolution with the thickness as an extrinsic factor in the damping of the FMR.
О магнитометрическом определении концентрации радиационных дефектов в сверхпроводящей пленке GdBa-=SUB=-2-=/SUB=-Cu-=SUB=-3-=/SUB=-O-=SUB=-7-x-=/SUB=-
Authors: Подливаев А.И. , Руднев И.А.
Published: March 2021

An express magnetometric technique is proposed, which makes it possible to determine the inhomogeneity of the change in the superconducting properties of a thin superconductor layer due to radiation exposure. A numerical simulation of this technique is carried out using the example of a superconducting GdBa2Cu3O7-x layer irradiated with hydrogen and helium ions. The profile of the concentration of radiation defects was calculated using the SRIM software package. The calculation of the density distribution of superconducting currents induced by an external magnetic field was carried out within the framework of the critical state model. Model calculations have shown the effectiveness of the proposed method.
Анализ структуры композиционных систем с использованием фрактальных характеристик на примере системы BaTiO-=SUB=-3-=/SUB=--фуллеренол-ЦЭПС
Authors: Чекуряев А.Г. , Сычев М.М. , Мякин С.В.
Published: March 2021

An approach to the study of the relationship between the composition, structure and properties of composites is suggested on the basis of statistical analysis of the distribution of structural elements of the composite between its cross-section fragments and determination of fractal parameters as quantitative characteristics of the material structure. The prospects of this approach are demonstrated on the example of analyzing the microstructure of composites based on cyanoethyl ester of polyvinyl alcohol (CEPVA) with a ferroelectric filler barium titanate (BaTiO3), modified by the precipitation of fullerenol C60(OH)42. The filler modification is shown to result in a decrease of the span and standard deviation of the number of particles between the fragments of the composite, increase in the average number of particles in the fragments, a decrease in the lacunarity of filling the polymer matrix with the filler particles, and increase in the intensity of all the lattice density distribution maxima and correlation radii starting from the second maximum. The obtained results indicate a significant improvement of the filler particles distribution uniformity in the binder and prevention of their agglomeration, thus providing an increase in the permittivity of the composites by an order of magnitude and making the studied materials promising for the application in electronic devices.
Диэлектрические и тепловые свойства KNO-=SUB=-3-=/SUB=-, внедренного в углеродные нанотрубки
Authors: Милинский А.Ю. , Барышников С.В. , Стукова Е.В. , Чарная Е.В. , Чернечкин И.А. , Ускова Н.И.
Published: March 2021

The results of studies of phase transitions of KNO3, embedded in carbon nanotubes, are presented. It is shown that for KNO3 particles in nanotubes, a narrowing of the tempera-ture range of the existence of the ferroelectric phase is observed, similarly to what hap-pens in ferroelectric semiconductors. The results obtained indicate that the external screening from the side of the conducting matrix acts similarly to the screening of spon-taneous polarization in conducting ferroelectrics.
Нанокомпозиты оксид графена/оксид железа (GrO/FeOx) для биомедицины: синтез и исследования
Authors: Камзин А.С. , Obaidat I.M. , Козлов В.С. , Воронина Е.В. , Narayanaswamy V. , Al-Omari I.A.
Published: March 2021

Представлены исследования свойств и структуры магнитных нанокомпозитов оксид графена GrO/оксид железа FeOx, синтезированных механохимическим методом с различным содержанием компонент в весовых процентах, GrO : FeOx, а именно: 20 : 80, 50 : 50 и 80 : 20. Метод механохимического синтеза представляет собой механический процесс измельчения в шаровой мельнице в водной среде порошка оксида железа вместе с оксидом графена. Синтезированные магнитные нанокомпозиты GrO/FeOx исследованы методами рамановской спектроскопии, магнитометра с вибрирующим образцом и мёссбауэровской спектроскопии. Мёссбауэровские исследования позволили определить фазовый состав и структуру синтезированных магнитных нанокомпозитов GrO/FeOx. Данные мёссбауэровской спектроскопии показали, что композиты GrO/FeOx состоят из фазы магнетита Fe3O4 и магнитных наночастиц в парамагнитном состоянии, что согласуется с данными рентгеноструктурных исследований. По результатам мёссбауэровской спектроскопии установлено, что кроме магнетита в магнитных нанокомпозитах GrO/FeOx присутствует гематит alpha-Fe2O3, а также фазы, идентифицированные как карбиды железа и обедненные железом кластеры углерода. Последние не были обнаружены методом рентгеновской дифракции, по-видимому, потому, что их количество незначительно и они находятся в аморфном состоянии. Полученные результаты показывают, что графен является не просто источником углерода при помоле в шаровой мельнице, но обладает собственной реакционной способностью и способностью генерировать новые фазы при механохимической активации. На основании проведенных мёссбауэровских исследований получена уникальная и важная информация о магнитной структуре магнитных нанокомпозитов GrO/FeOx. Результаты исследований позволяют объяснить магнитные свойства магнитных нанокомпозитов GrO/магнитные частицы, что важно для разработки и синтеза с использованием оксида графена высокоэффективных магнитных нанокомпозитов для различных применений, в том числе, для биомедицины. Ключевые слова: нанокомпозит оксид графена/феррооксид, механохимический метод синтеза, мёссбауэровская спектроскопия.
Predicting Outcomes in Patients Undergoing Pancreatectomy Using Wearable Technology and Machine Learning: Prospective Cohort Study
Authors: Cos Heidy , Li Dingwen , Williams Gregory , Chininis Jeffrey , Dai Ruixuan , Zhang Jingwen , Srivastava Rohit , Raper Lacey , Sanford Dominic , Hawkins William , Lu Chenyang , Hammill Chet W
Published: March 2021

Background

Pancreatic cancer is the third leading cause of cancer-related deaths, and although pancreatectomy is currently the only curative treatment, it is associated with significant morbidity.

Objective

The objective of this study was to evaluate the utility of wearable telemonitoring technologies to predict treatment outcomes using patient activity metrics and machine learning.

Methods

In this prospective, single-center, single-cohort study, patients scheduled for pancreatectomy were provided with a wearable telemonitoring device to be worn prior to surgery. Patient clinical data were collected and all patients were evaluated using the American College of Surgeons National Surgical Quality Improvement Program surgical risk calculator (ACS-NSQIP SRC). Machine learning models were developed to predict whether patients would have a textbook outcome and compared with the ACS-NSQIP SRC using area under the receiver operating characteristic (AUROC) curves.

Results

Between February 2019 and February 2020, 48 patients completed the study. Patient activity metrics were collected over an average of 27.8 days before surgery. Patients took an average of 4162.1 (SD 4052.6) steps per day and had an average heart rate of 75.6 (SD 14.8) beats per minute. Twenty-eight (58%) patients had a textbook outcome after pancreatectomy. The group of 20 (42%) patients who did not have a textbook outcome included 14 patients with severe complications and 11 patients requiring readmission. The ACS-NSQIP SRC had an AUROC curve of 0.6333 to predict failure to achieve a textbook outcome, while our model combining patient clinical characteristics and patient activity data achieved the highest performance with an AUROC curve of 0.7875.

Conclusions

Machine learning models outperformed ACS-NSQIP SRC estimates in predicting textbook outcomes after pancreatectomy. The highest performance was observed when machine learning models incorporated patient clinical characteristics and activity metrics.
Diagnostic Classification and Prognostic Prediction Using Common Genetic Variants in Autism Spectrum Disorder: Genotype-Based Deep Learning
Authors: Wang Haishuai , Avillach Paul
Published: March 2021

Background

In the United States, about 3 million people have autism spectrum disorder (ASD), and around 1 out of 59 children are diagnosed with ASD. People with ASD have characteristic social communication deficits and repetitive behaviors. The causes of this disorder remain unknown; however, in up to 25% of cases, a genetic cause can be identified. Detecting ASD as early as possible is desirable because early detection of ASD enables timely interventions in children with ASD. Identification of ASD based on objective pathogenic mutation screening is the major first step toward early intervention and effective treatment of affected children.

Objective

Recent investigation interrogated genomics data for detecting and treating autism disorders, in addition to the conventional clinical interview as a diagnostic test. Since deep neural networks perform better than shallow machine learning models on complex and high-dimensional data, in this study, we sought to apply deep learning to genetic data obtained across thousands of simplex families at risk for ASD to identify contributory mutations and to create an advanced diagnostic classifier for autism screening.

Methods

After preprocessing the genomics data from the Simons Simplex Collection, we extracted top ranking common variants that may be protective or pathogenic for autism based on a chi-square test. A convolutional neural network–based diagnostic classifier was then designed using the identified significant common variants to predict autism. The performance was then compared with shallow machine learning–based classifiers and randomly selected common variants.

Results

The selected contributory common variants were significantly enriched in chromosome X while chromosome Y was also discriminatory in determining the identification of autistic individuals from nonautistic individuals. The ARSD, MAGEB16, and MXRA5 genes had the largest effect in the contributory variants. Thus, screening algorithms were adapted to include these common variants. The deep learning model yielded an area under the receiver operating characteristic curve of 0.955 and an accuracy of 88% for identifying autistic individuals from nonautistic individuals. Our classifier demonstrated a considerable improvement of ~13% in terms of classification accuracy compared to standard autism screening tools.

Conclusions

Common variants are informative for autism identification. Our findings also suggest that the deep learning process is a reliable method for distinguishing the diseased group from the control group based on the common variants of autism.
Decline of Psychological Health Following the Designation of COVID-19 as a Pandemic: Descriptive Study
Authors: Patel Darpan I , Gamez Yazmin , Shah Lajja , Patel Jaini
Published: March 2021

Background

COVID-19 was declared a pandemic by the World Health Organization on March 11, 2020, and as of this writing, Texas, United States, has reported >675,000 cases with over 14,000 deaths. Many of the preventive measures implemented during the pandemic can increase sedentary lifestyles, which can lead to the development of chronic diseases, including obesity, among the general population and cause serious threats to people’s physical health and overall quality of life. Individuals with pre-existing comorbidities are at an increased risk of COVID-19 and may hence have higher levels of stress.

Objective

This study aimed to investigate the relationship between physical activity levels and mental health status on an individual level and to compare them between those with and those without comorbidities in a cohort of Texas residents, before and after COVID-19 was declared a pandemic.

Methods

An electronic survey was disseminated throughout various regions of Texas. In total, 160 individuals were asked questions about their demographic characteristics, time spent on daily physical activities, and daily mental health status before and after COVID-19 was declared a pandemic. Frequency distributions and descriptive statistics were analyzed.

Results

Overall, 94 (58%) participants reported having ≥1 medical condition, and 31 (13.1%) had >3 medical conditions. Physical activity levels among participants with ≥1 pre-existing comorbidity drastically—but not significantly—decreased, as evident from a 10% increase in sedentary lifestyles after COVID-19 was declared a pandemic. On the contrary, we observed a 9% increase in the number of individuals without a pre-existing comorbidity who reported 30-60 min of physical activity per week. There was a 2-fold increase in the number of participants reporting more frequent feelings of nervousness, too much worry, trouble relaxing, and the fear of something awful happening after the pandemic. More specifically, individuals with pre-existing medical conditions reported, on average, a 10% higher incidence of feelings of stress, anxiety, and sadness compared to their healthy counterparts after COVID-19 was declared a pandemic.

Conclusions

Stressful life conditions and chronic comorbidities are risk factors that can affect mental health and reduce the ability to perform activities of daily life. Therefore, when implementing pandemic protocols, municipalities should consider providing mental health support to their citizens to protect them from this rather inconspicuous adverse effect.
A Multiple Health Behavior Change, Self-Monitoring Mobile App for Adolescents: Development and Usability Study of the Health4Life App
Authors: Thornton Louise , Gardner Lauren Anne , Osman Bridie , Green Olivia , Champion Katrina Elizabeth , Bryant Zachary , Teesson Maree , Kay-Lambkin Frances , Chapman Cath ,   The Health4Life Team
Published: March 2021

Background

The link between chronic diseases and the Big 6 lifestyle risk behaviors (ie, poor diet, physical inactivity, smoking, alcohol use, sedentary recreational screen time, and poor sleep) is well established. It is critical to target these lifestyle risk behaviors, as they often co-occur and emerge in adolescence. Smartphones have become an integral part of everyday life, and many adolescents already use mobile apps to monitor their lifestyle behaviors and improve their health. Smartphones may be a valuable platform for engaging adolescents with interventions to prevent key chronic disease risk behaviors.

Objective

The aim of this paper is to describe the development, usability, and acceptability of the Health4Life app, a self-monitoring smartphone app for adolescents that concurrently targets the Big 6 lifestyle behaviors.

Methods

The development of the Health4Life app was an iterative process conducted in collaboration with adolescents and experts. The development process consisted of three stages: scoping the literature; end user consultations, which included a web-based survey (N=815; mean age 13.89, SD 0.89 years) and a focus group (N=12) among adolescents; and app development and beta testing. Following this development work, 232 adolescents were asked to rate the usability and acceptability of the app.

Results

The process resulted in a self-monitoring smartphone app that allows adolescent users to track and set goals for the Big 6 health behaviors, using in-app rewards and notifications to enhance engagement. The overall adolescent feedback was positive in terms of user-friendly design, content, relevance, and helpfulness. Commonly identified areas for improvement were to increase interactive features and display recorded health behaviors differently to improve interpretability.

Conclusions

The Health4Life app is a co-designed, self-monitoring smartphone app for adolescents that concurrently targets the Big 6 lifestyle behaviors. Adolescents rated the app as highly acceptable and usable. The app has the potential to efficiently and effectively modify important risk factors for chronic disease among young people and is currently being evaluated in a world-first trial of 6640 secondary school students in 71 schools across Australia.
The Influence of Social Distancing on COVID-19 Mortality in US Counties: Cross-sectional Study (Preprint)
Authors: Tran Phoebe , Tran Lam , Tran Liem
Published: March 2021

BACKGROUND

Previous studies on the impact of social distancing on COVID-19 mortality in the United States have predominantly examined this relationship at the national level and have not separated COVID-19 deaths in nursing homes from total COVID-19 deaths. This approach may obscure differences in social distancing behaviors by county in addition to the actual effectiveness of social distancing in preventing COVID-19 deaths.

OBJECTIVE

This study aimed to determine the influence of county-level social distancing behavior on COVID-19 mortality (deaths per 100,000 people) across US counties over the period of the implementation of stay-at-home orders in most US states (March-May 2020).

METHODS

Using social distancing data from tracked mobile phones in all US counties, we estimated the relationship between social distancing (average proportion of mobile phone usage outside of home between March and May 2020) and COVID-19 mortality (when the state in which the county is located reported its first confirmed case of COVID-19 and up to May 31, 2020) with a mixed-effects negative binomial model while distinguishing COVID-19 deaths in nursing homes from total COVID-19 deaths and accounting for social distancing– and COVID-19–related factors (including the period between the report of the first confirmed case of COVID-19 and May 31, 2020; population density; social vulnerability; and hospital resource availability). Results from the mixed-effects negative binomial model were then used to generate marginal effects at the mean, which helped separate the influence of social distancing on COVID-19 deaths from other covariates while calculating COVID-19 deaths per 100,000 people.

RESULTS

We observed that a 1% increase in average mobile phone usage outside of home between March and May 2020 led to a significant increase in COVID-19 mortality by a factor of 1.18 (P<.001), while every 1% increase in the average proportion of mobile phone usage outside of home in February 2020 was found to significantly decrease COVID-19 mortality by a factor of 0.90 (P<.001).

CONCLUSIONS

As stay-at-home orders have been lifted in many US states, continued adherence to other social distancing measures, such as avoiding large gatherings and maintaining physical distance in public, are key to preventing additional COVID-19 deaths in counties across the country.
A Web-Based Group Cognitive Behavioral Therapy Intervention for Symptoms of Anxiety and Depression Among University Students: Open-Label, Pragmatic Trial (Preprint)
Authors: Bantjes Jason , Kazdin Alan E , Cuijpers Pim , Breet Elsie , Dunn-Coetzee Munita , Davids Charl , Stein Dan J , Kessler Ronald C
Published: March 2021

BACKGROUND

Anxiety and depression are common among university students, and university counseling centers are under pressure to develop effective, novel, and sustainable interventions that engage and retain students. Group interventions delivered via the internet could be a novel and effective way to promote student mental health.

OBJECTIVE

We conducted a pragmatic open trial to investigate the uptake, retention, treatment response, and level of satisfaction with a remote group cognitive behavioral therapy intervention designed to reduce symptoms of anxiety and depression delivered on the web to university students during the COVID-19 pandemic.

METHODS

Preintervention and postintervention self-reported data on anxiety and depression were collected using the Generalized Anxiety Disorder-7 and Patient Health Questionnaire-9. Satisfaction was assessed postintervention using the Client Satisfaction with Treatment Questionnaire.

RESULTS

A total of 175 students were enrolled, 158 (90.3%) of whom initiated treatment. Among those initiating treatment, 86.1% (135/158) identified as female, and the mean age was 22.4 (SD 4.9) years. The mean number of sessions attended was 6.4 (SD 2.8) out of 10. Among participants with clinically significant symptoms at baseline, mean symptom scores decreased significantly for anxiety (t56=11.6; P<.001), depression (t61=7.8; P<.001), and composite anxiety and depression (t60=10.7; P<.001), with large effect sizes (d=1-1.5). Remission rates among participants with clinically significant baseline symptoms were 67.7%-78.9% and were not associated with baseline symptom severity. High overall levels of satisfaction with treatment were reported.

CONCLUSIONS

The results of this study serve as a proof of concept for the use of web-based group cognitive behavioral therapy to promote the mental health of university students.
Key Technology Considerations in Developing and Deploying Machine Learning Models in Clinical Radiology Practice (Preprint)
Authors: Kulkarni Viraj , Gawali Manish , Kharat Amit
Published: March 2021

UNSTRUCTURED

The use of machine learning to develop intelligent software tools for the interpretation of radiology images has gained widespread attention in recent years. The development, deployment, and eventual adoption of these models in clinical practice, however, remains fraught with challenges. In this paper, we propose a list of key considerations that machine learning researchers must recognize and address to make their models accurate, robust, and usable in practice. We discuss insufficient training data, decentralized data sets, high cost of annotations, ambiguous ground truth, imbalance in class representation, asymmetric misclassification costs, relevant performance metrics, generalization of models to unseen data sets, model decay, adversarial attacks, explainability, fairness and bias, and clinical validation. We describe each consideration and identify the techniques used to address it. Although these techniques have been discussed in prior research, by freshly examining them in the context of medical imaging and compiling them in the form of a laundry list, we hope to make them more accessible to researchers, software developers, radiologists, and other stakeholders.
Pattern Recognition untuk Deteksi Posisi pada AGV Berbasis Raspberry Pi
Authors: Florentinus Budi Setiawan  , Kurnianingsih Franciska Amalia , Slamet Riyadi  , Leonardus Heru Pratomo
Published: March 2021

Perkembangan teknologi di bidang otomatisasi dan robotika berkembang sangat pesat, karena memiliki tingkat efesiensi tinggi dari segi tenaga dan waktu. Pada sistem pergudangan, salah satu robot yang digunakan adalah Automated Guided Vehicle (AGV). AGV adalah alat transportasi berupa robot yang dikendalikan secara otomatis, yang berfungsi sebagai pengangkut barang, dengan menggunakan sistem navigasi agar bergerak ke arah yang telah ditentukan. Salah satu sistem navigasi AGV yang telah ada ialah dengan mengikuti pola garis pada lantai. Sistem tersebut kurang efisien karena lambat laun pola garis tersebut akan pudar dan tidak dapat terdeteksi kembali akibat gaya gesek dari roda AGV itu sendiri. Oleh karena itu, sangat diperlukan pengembangan sistem navigasi AGV untuk meminimalkan hambatan tersebut. Sistem pattern recognition ini menggunakan pola yang diletakkan pada langit-langit bangunan dan kamera sebagai sensor yang menghadap ke atas sehingga AGV mampu dengan leluasa mendeteksi pola. Kemudian, pola yang sudah terdeteksi diolah melalui perangkat komputer berupa Raspberry Pi 4 Model B yang telah diprogram. Hasil pengujian menunjukkan bahwa sistem ini mampu mendeteksi posisi dan berhasil menampilkan titik koordinat (x,y) dari AGV serta akan tetap berjalan sampai kapan pun hingga program diubah sesuai yang diperintahkan.
Student Perceptions of COVID-19 on Mental Health and Academic Success: A Comparison between University and Community College Students
Authors: Stephanie F. Rose, , Samantha A. Christian, , Anita Sego, , Denise Demers,
Published: March 2021

Very little evidence addresses college students’ perceptions of mental health and supportive services available to assist them with being academically successful since the COVID-19 pandemic began. This is also true for comparing community college students and university students. This study examines the concepts of how COVID-19 has impacted overall student-perceptions of their mental health. Data on perceptions was collected from both community college and university students. A total of 932 students completed a survey regarding their views of mental health, academic success and supportive services Relationships between perceived mental health and supportive services rendered significant findings. Perceived differences between perceived mental health and supportive services were also significantly significant in the data. Recommendations for future research is also explored.
Exploring the Use of Learner-Centered Instruction with English Language Learners in Social Studies Classrooms
Authors: Sabouri Taraneh , Cale Chris , Panesar-Aguilar Sunddip , McCraney Michelle
Published: March 2021

Despite English Language Learner (ELL) supplemental instruction on Saturdays and evenings and professional development for teachers, learner-centered instructional strategies in social studies are currently ineffective in meeting the learning needs of the ELL population in an urban school in the northeastern United States. The instructional approaches being used to deliver curriculum have a marginal effect on learning for ELL students, and the local school board supports the importance of exploring this problem. The purpose of this instrumental case study was to explore the learner-centered instructional practices used at the study site and how teachers are using Weimer’s framework to engage ELLs in social studies. Guided by Weimer’s learner-centered instruction theory, the research questions focused on exploring how teachers use Weimer’s learner-centered instructional strategies and how teachers plan their instruction for ELLs and social studies using Weimer’s framework. As a case study, this qualitative research involved gathering data during 1 academic year through observations and interviews of 10 teacher participants. Research data collected through observations and interviews were coded into an Excel document to assign and filter codes. A 3-day professional development opportunity and monthly follow-up sessions were the results of the analysis of data collected from interviews and classroom observations of 10 ELL social studies teachers in Grades 9-12. The results of this study may lead to positive social change if social studies teachers modify their learner-centered instructional approaches to increase students’ motivation and satisfaction in learning.
FORMULATION AND EVALUATION OF BILAYERED FELODIPINE TRANSDERMAL PATCHES: IN VITRO AND EX VIVO CHARACTERIZATION
Authors: M KEERTHANA , S SHIRISHA , SUNIT KUMAR SAHOO , RAO Y MADHUSUDAN
Published: March 2021

Objective: Felodipine (FD) is an effective Biopharmaceutics Classification System Class II calcium channel blocker mainly used in the management of hypertension and angina pectoris. It has poor solubility and low oral bioavailability (15%). To overcome these disadvantages and to maintain constant plasma concentration for maximum therapeutic activity, there is a need to design an alternative route, that is, transdermal route. The pharmacokinetic parameters make FD a suitable candidate for transdermal delivery. The present investigation consists of the study of in vitro and ex vivo skin flux of FD from bilayered transdermal patches.

Methods: The patches were fabricated by solvent casting method using hydrophilic and hydrophobic polymer with different composition. Tween 80 incorporated as solubilizer, polyethylene glycol 600 as plasticizer, menthol, eucalyptus oil, and lemongrass oil used as permeation enhancers, respectively. The prepared transdermal drug delivery system was extensively evaluated for in vitro release, ex vivo permeation through pig ear skin, moisture content, moisture absorption, water vapor transmission, and mechanical properties. The physicochemical interaction between FD and polymers was investigated by Fourier-transform infrared (FTIR) spectroscopy.

Results: All the formulations exhibited satisfactory physicochemical and mechanical characteristics. A flux of 35.2 μg/cm2 h, 27.9 μg/cm2 h, and 25.25 μg/cm2 h was achieved for optimized formulations containing lemongrass oil, eucalyptus oil, and menthol, respectively, permeation enhances. Values of tensile strength (0.0652±0.034 kg/mm²) and elongation at break (0.8749±0.0.0029% mm²) revealed that formulation F9 was strong but not brittle. Drug and excipients compatibility studies showed no evidence of interaction between the active ingredient and polymers.

Conclusion: Bilayered FD transdermal patches could be prepared with required flux and suitable mechanical properties.
The Relationship Between Smartphones Used Before Sleep and Excessive Daytime Sleepiness Among Nursing Students: A Cross-Sectional Study
Authors: Marta Ollyvia Freeska Dwi , Safitri Arlia , Aini Nur
Published: March 2021

Introduction: Smartphone is a communication device can connecting all distances with many features and always update along time. Smartphone use can’t regardless from all of the student’s activities without knows of the time. Objectives: The aim of the study to explore the relationship between smarthphone used before sleep and excessive daytime sleepiness among nursing students. Methods: We used correlational descriptive with cross sectional approach. Sample of this research was nursing students of the class of 2019th in Faculty of Health Sciences, University of Muhammadiyah Malang. We included 108 respondents, taken by the selection of sample used Convenience Sampling (Accidental Sampling) technique. The data collection used questionnaire with Online Form methods. Spearman Correlation test was used to analyze the data. Results: The result of this research shows that 50.9% the students are excessive smartphone use before sleep’s category and 82.4% had EDS value of normal category. The results of Spearman Correlation test analysis obtained of ρ value = 0.508 higher than the significance level of 0,05, so H1 was rejected.Conclusions: There is no relationship between relationship of smartphone use before sleep and excessive daytime sleepiness in nursing student on University of Muhammadiyah Malang.
Performance of Schiff Bases Metal Complexes and their Ligand in Biological Activity: A Review
Authors:   Department of Chemistry, College of Science, Al-Nahrain University, Baghdad, Iraq, M. Ibrahim Farah , M. Abdalhadi Saifaldeen ,   Department of Remote Sensing, College of Remote Sensing and Geophysics, Al-Karkh University of Science, Baghdad, Iraq
Published: March 2021

Schiff bases are a broad class synthesized compound, which is prepared for the condensation process between the primary amine group and an aldehyde or ketone group. Schiff base metal complexes play an important role in many applications such as biological activity, catalytic activity, and optical property. The wide range application of Schiff base metal complexes came from the versatility of Schiff base reactions with many different transition metals. This flexibility of the reactions was given these complexes, many different properties and uses in a biological human system such as antibacterial, antifungal, anticancer, antimalarial, and others. This review gives many examples of Schiff bases, metal complexes, and there ligands with biological applications in the human system.
Crystallized Ammonium Alum and Recovery of Ammonium Alum: Urea DES from Cellulose/DES Solution
Authors:   Chemistry Department, College of science, Al-Nahrain University, Baghdad, Iraq, Thamer Salman Zeena , M.A.Abood Hadi ,   Chemistry Department, College of science, Al-Nahrain University, Baghdad, Iraq
Published: March 2021

Recycling and/or recovery of solvent are of important aim in the area of environment or cost. Deep eutectic solvents (DES’s) have been widely employed in different research or industrial area. Ammonium alum: urea DES has been researched for possible applications therefore; recovery of this DES is attempted in this paper. Ammonium alum: urea DES was separated to its constituents by crystallization of ammonium alum from a solution containing cellulose. Urea was obtained by evaporation. The crystallization occurs by adding water which breaks the hydrogen bonding of DES. Water was added in a 1.25:1 volume ratio and the resulting crystals and solid materials were examined with ATR-IR and X-Ray Diffraction.