bluuebunny/crossref_metadata_2025 huggingface dataset:
Salud y educación de niños, niñas y adolescentes con TEA o TDI: una relación simbiótica para su garantía o vulneración. Caso Bucaramanga
Authors: Uribe Ochoa Cirly , Correa Corredor Marien Yolanda , Bernal Bueno Ana Carolina
Published: August 2021

This paper is a reflection on the symbiotic relationship between the rights to health and education of the population with Neurological Development Disorder (TEA and TDI) in school age, on the horizon of achieving its inclusion. To this end, a qualitative research was carried out, based on a critical analysis of the national and international legal framework protecting the rights of persons with disabilities, the guidelines of the Ministry of Education on inclusive education and information gathered through field work with families of children and adolescents in these conditions, and the holding of semi structured interviews with different actors involved in the care of this population and the guarantee of their rights, whose the main result of which is the realization of the implications for their schooling and the lack of guarantees according to their needs of the right to health.
Responsabilidad legislativa: Una mirada desde el principio de seguridad de los productos y la aplicación territorial del estatuto del consumidor
Authors: Pallares Meriño Noreila
Published: August 2021

This article is the result of the bibliographic review carried out with respect to the topics of legislative responsibility, product safety condition and territorial application of the consumer statute. The approach to these issues was carried out in order to obtain criteria that allow knowing their scope, shed light on the treatment that is a level of sources of law have had and verify if the question has been answered through research ¿Is there legislative responsibility in the Colombian consumer statute? Once the analysis of these variables was carried out from the qualitative approach and with the support of legal hermeneutics, it was concluded that the studies carried out do not particularly address the issues raised. Therefore, in the development of the article, arguments will be presented that will reveal the need and relevance of the study based on a legal analysis.
EXCELLENT ACADEMIC ACHIEVEMENT: DO INTELLECTUAL HUMILITY AND EMOTIONAL INTELLIGENCE MATTER?
Authors: Ratu Aurelius , Made Rai Ni Gusti , Savitri Eka Dian
Published: August 2021

Since emotional intelligence receives much attention in the context of academic success and intellectual humility is frequently studied in the context of career path, research concerning the relationship between emotional intelligence and intellectual humility on academic achievement is a necessity. This study aims to investigate that relationship while contributing to higher education on the insight to an employable graduate. The quantitative approach was implemented as the research framework by applying independent t-test and multiple regression in the first and second phases respectively. We found that the total score of intellectual humility and emotional intelligence for students (male and female) in the first year have a significant effect, while only the total score of intellectual humility among male in the second year has a significant effect on GPA (n = 531). Acknowledging academic achievement is an important variable in student’s academic process and intellectual humility to continuously plan, adapt, adjust, and evaluate their set of competencies, while simultaneously their engagement in a non-academic activity should be fostered. Besides, we suggest a mentor programme on both career and academic dimensions to make them enjoy and comfortable during their educational process. An understanding of IH during the educational process is impossible without serious attention to emotion, including the religious dimension.
A UNIVERSITY QUALITY ASSURANCE TEAM SHOULD STRIVE FOR QUALITY OF WORK-LIFE
Authors: Syahidah Dzikrina , Zulaikha Siti , Ahmad Masduki
Published: August 2021

Professionalism is an important key to an organization in achieving their success. One of the essential factors influencing the formation of committed professional resources is the employees’ perception of the quality of their work life. This study aims to examine the effects of the quality of work life (QWL) (appropriate and fair compensation, work stress, employee participation, career growth and development, social relevance, work environment) on organizational commitment (OC) simultaneously or partially. The participants of this study were 109 quality assurance team employees at a state university in Indonesia. The data collected through questionnaires were analyzed by simple regression and Pearson’s correlation test. The results showed that there is a significant influence between QWL and OC. The six predictors of QWL showed a significant relationship with OC (r < .05) with the most influencing indicators as follows: career growth and development (p = .612), appropriate and fair compensation (p = .558), employee participation (p = .515), work stress (p = ˗.510), social relevance (p = .498), and work environment (p = .422). This study suggests that a state university shoud provide wider opportunities for quality assurance employees to develop and demonstrate their abilities and creativity as an effort to increase their OC.
SELF-REGULATED LEARNING AND DIGITAL LEARNING ENVIRONMENT: ITS’ EFFECT ON ACADEMIC ACHIEVEMENT DURING THE PANDEMIC
Authors: Sutarni Nani , Ramdhany M Arief , Hufad Achmad , Kurniawan Eri
Published: August 2021

The unprecedented changes in the education sector due to the recent pandemic demand teachers and students to adapt to new ways of learning via online platforms. A plethora of latest research has investigated various topics such as online learning platforms, online learning materials, and teacher/student perceptions; however, little is known about the link between online learning and achievement. Occupying this lacuna, this study specifically sought to examine the relationship between self-regulated learning (SRL), the digital learning environment, and student’ academic achievement during the pandemic.  The population of this research was 1,800 students (freshmen, sophomore, junior, and senior class) enrolled for the Introduction to Management course at a state university in Bandung, Indonesia. Selected using a proportionate random sampling, 317 students participated as the respondents.  The data were collected through questionnaire surveys, while the Structural Equation Model (SEM) was employed to analyze the interrelationship among the construct variables.  The results of this study show that promoting SRL may affect the optimization of the digital learning environment and academic achievements.  Students with better self-regulated learning ability can somehow optimize their digital learning environment and be more progressive in terms of academic achievement.
The Review and Future Perspectives of the Postpartum Care Service System for the Improvement of the Private-Postpartum Care Center’s Publicity
Authors: Kim Hee-Sun , Lee Jae Hee , Lee Jeong Rim , Eom Ji-Won , Koo Ja Yeun , Park Byoung Lok , Park Hyun Soo , Sohn In Sook
Published: August 2021

The study aimed to review the current postpartum care service system and suggest measures of improvement for the public reinforcement of the private-postpartum care center (PCC). We conducted a review of literature, including an internet search, and we analyzed the in-depth interviews using questionnaires answered by workers from the 6 private-PCCs operated in Goyang city. Using these data, we derived possible measures which could improve the publicity of private-PCCs. It was found that the 11 nationwide public-PCCs had serious operating deficits, and its utilization by the vulnerable was insufficient. In areas where private-PCCs are concentrated, we can propose the following policies to strengthen publicity, rather than establishing another public-PCC. First, it is important to provide support for private-PCCs to apply cost reductions for vulnerable groups, similar to the maternal and newborn medical care of public-PCCs. Second, publicity would be strengthened by reorganizing the pregnancy and childbirth education program, while also offering additional services for mothers with stillbirths and abortions. For the integrated management of postpartum care services, this should be shifted towards reinforcing the publicity of private-PCCs, rather than operating a public-PCC in relatively concentrated private-PCC areas. Through these policies, it is expected that financial and administrative waste will be reduced, and an integrated management system for postpartum care services will be established.
First-Time Mothers’ Grit, Spousal Support, and Age, and Their Relationships with Nurturing Passion, Postpartum Depression, and Happiness
Authors: Jeong Yerim , Kim Yaebon , Yang Sujin
Published: August 2021

Purpose: This study aimed to examine whether first-time mothers’ grit, spousal support, and age can make significant differences in latent means of child-rearing passion, postpartum depression, and happiness. Methods: Data were collected from April 2 to July 16, 2019. Two hundred sixteen first-time mothers of infants and toddlers aged 0–2 years participated in a self-reported questionnaire study in which scales of nurturing passion, postpartum depression, happiness, grit, and spousal support were included. The collected data were analyzed with IBM SPSS ver. 18.0 (IBM Co., Armonk, NY, USA) for descriptive statistics and Pearson correlation analyses. In addition, Mplus (ver. 7.0) was used for the Multiple Indicators Multiple Causes (MIMIC) model approach. Results: The MIMIC model yielded an appropriate fit to the data (χ2=103.74, degrees of freedom=53, comparative fit index=0.96, root mean square error of approximation=0.07, standardized root mean square residual=0.05). The paths from grit and spousal support all had significantly positive beta coefficients (p<0.05) to child-rearing passion (β=0.3 and β=0.26, respectively) and happiness (β=0.22 and β=0.39, respectively), while the corresponding paths to postpartum depression were all negatively significant (β= -0.24 for both). These results suggest that unlike chronological maturity (i.e., age), grittier individuals with stronger spousal support display greater passion for child-rearing, as well as greater happiness. In a similar vein, they suffered less from postpartum depression. Conclusion: These results imply that grit can be employed to enhance first-time mothers’ child-rearing passion and happiness as it can also concurrently offset the effects of a negative labor and child-birth experience on first-time mothers’ mental health, e.g., in terms of reducing postpartum depression.
Factors Predicting afterward Childbirth for Infertile Women: The Intensity of Physical Activity
Authors: Han Kyueun , Km Min Young
Published: August 2021

Purpose: The aim of this study was to investigate the intensity of physical activity predicting afterward childbirth for infertile women in order to improve the development of an infertility support.Methods: The complete enumeration data of the National Health Insurance Service of Korea for women who had been diagnosed with infertility in 2016 were analyzed to investigate the predictors of childbirth in 2016–2017. The data were analyzed using descriptive statistics and linear regression with SPSS.Results: When age and body mass index were controlled for, intermediate intense physical activity increased the rate of childbirth, but low or heavy intensity did not.Conclusion: Women who have been diagnosed with infertility should be given advice to engage in intermediate levels of physical activity in order to increase their chances of having a child.
The 4 Youth By Youth mHealth Photo Verification App for HIV Self-testing in Nigeria: Qualitative Analysis of User Experiences
Authors: Oladele David , Iwelunmor Juliet , Gbajabiamila Titilola , Obiezu-Umeh Chisom , Okwuzu Jane Ogoamaka , Nwaozuru Ucheoma , Musa Adesola Zaidat , Idigbe Ifeoma , Tahlil Kadija , Tang Weiming , Conserve Donaldson F , Rosenberg Nora E , David Agatha N , Tucker Joseph , Ezechi Oliver
Published: August 2021

Background

Despite the global expansion of HIV self-testing (HIVST), many research studies still rely on self-reported outcomes. New HIVST verification methods are needed, especially in resource-limited settings.

Objective

This study aims to evaluate the user experience of a mobile health (mHealth) app to enhance HIVST result reporting and verification.

Methods

Semistructured, in-depth interviews were used to evaluate the user experience of the 4 Youth By Youth mHealth photo verification app for HIVST. We used a think-aloud approach, and participants performed usability tasks and completed a qualitative exit interview. The app included HIV educational resources, step-by-step video instructions for performing HIVST, a 20-minute timer, a guide on interpreting results with linkages to care, an offline version, and a photo verification system. Demographic characteristics were reported by using descriptive statistics. Qualitative data were analyzed by using thematic analysis.

Results

A total of 19 users—12 women and 7 men—with a mean age of 22 years, participated in the study. The users completed the usability tasks and successfully uploaded a photo of their test results by using the app without assistance. Four main themes were identified in the data. First, in terms of user-friendly design, the participants noted the user-friendly features of the offline version and the app’s low data use. However, some wanted the app to work in the background when using their mobile phone, and the font used should be more youth friendly. Second, in terms of ease of use, participants remarked that the app’s self-explanatory nature and instructions that guided them on how to use the app enhanced its use. Third, in terms of a user’s privacy, many participants reinforced the importance of privacy settings and tools that protect confidentiality among users. Finally, in terms of linkage to care, participants noted that the app’s linkage to care features were useful, particularly in relation to referrals to trained counselors upon the completion of the test. All the participants noted that the app provided a convenient and private means of verifying the HIV test results.

Conclusions

Our findings demonstrated the importance of engaging end users in the development phase of health technology innovations that serve youth. Clinical trials are needed to determine the efficacy of using an mHealth app to verify HIVST results among young people.
Context and Complexity in Telemedicine Evaluation: Work Domain Analysis in a Surgical Setting
Authors: Aminoff Hedvig , Meijer Sebastiaan
Published: August 2021

Many promising telemedicine innovations fail to be accepted and used over time, and there are longstanding questions about how to best evaluate telemedicine services and other health information technologies. In response to these challenges, there is a growing interest in how to take the sociotechnical complexity of health care into account during design, implementation, and evaluation. This paper discusses the methodological implications of this complexity and how the sociotechnical context holds the key to understanding the effects and outcomes of telemedicine. Examples from a work domain analysis of a surgical setting, where a telemedicine service for remote surgical consultation was to be introduced, are used to show how abstracted functional modeling can provide a structured and rigorous means to analyze and represent the implementation context in complex health care settings.
Prediction of Smoking Risk From Repeated Sampling of Environmental Images: Model Validation
Authors: Engelhard Matthew M , D'Arcy Joshua , Oliver Jason A , Kozink Rachel , McClernon F Joseph
Published: August 2021

Background

Viewing their habitual smoking environments increases smokers’ craving and smoking behaviors in laboratory settings. A deep learning approach can differentiate between habitual smoking versus nonsmoking environments, suggesting that it may be possible to predict environment-associated smoking risk from continuously acquired images of smokers’ daily environments.

Objective

In this study, we aim to predict environment-associated risk from continuously acquired images of smokers’ daily environments. We also aim to understand how model performance varies by location type, as reported by participants.

Methods

Smokers from Durham, North Carolina and surrounding areas completed ecological momentary assessments both immediately after smoking and at randomly selected times throughout the day for 2 weeks. At each assessment, participants took a picture of their current environment and completed a questionnaire on smoking, craving, and the environmental setting. A convolutional neural network–based model was trained to predict smoking, craving, whether smoking was permitted in the current environment and whether the participant was outside based on images of participants’ daily environments, the time since their last cigarette, and baseline data on daily smoking habits. Prediction performance, quantified using the area under the receiver operating characteristic curve (AUC) and average precision (AP), was assessed for out-of-sample prediction as well as personalized models trained on images from days 1 to 10. The models were optimized for mobile devices and implemented as a smartphone app.

Results

A total of 48 participants completed the study, and 8008 images were acquired. The personalized models were highly effective in predicting smoking risk (AUC=0.827; AP=0.882), craving (AUC=0.837; AP=0.798), whether smoking was permitted in the current environment (AUC=0.932; AP=0.981), and whether the participant was outside (AUC=0.977; AP=0.956). The out-of-sample models were also effective in predicting smoking risk (AUC=0.723; AP=0.785), whether smoking was permitted in the current environment (AUC=0.815; AP=0.937), and whether the participant was outside (AUC=0.949; AP=0.922); however, they were not effective in predicting craving (AUC=0.522; AP=0.427). Omitting image features reduced AUC by over 0.1 when predicting all outcomes except craving. Prediction of smoking was more effective for participants whose self-reported location type was more variable (Spearman ρ=0.48; P=.001).

Conclusions

Images of daily environments can be used to effectively predict smoking risk. Model personalization, achieved by incorporating information about daily smoking habits and training on participant-specific images, further improves prediction performance. Environment-associated smoking risk can be assessed in real time on a mobile device and can be incorporated into device-based smoking cessation interventions.
Semisupervised Deep Learning Techniques for Predicting Acute Respiratory Distress Syndrome From Time-Series Clinical Data: Model Development and Validation Study
Authors: Lam Carson , Tso Chak Foon , Green-Saxena Abigail , Pellegrini Emily , Iqbal Zohora , Evans Daniel , Hoffman Jana , Calvert Jacob , Mao Qingqing , Das Ritankar
Published: August 2021

Background

A high number of patients who are hospitalized with COVID-19 develop acute respiratory distress syndrome (ARDS).

Objective

In response to the need for clinical decision support tools to help manage the next pandemic during the early stages (ie, when limited labeled data are present), we developed machine learning algorithms that use semisupervised learning (SSL) techniques to predict ARDS development in general and COVID-19 populations based on limited labeled data.

Methods

SSL techniques were applied to 29,127 encounters with patients who were admitted to 7 US hospitals from May 1, 2019, to May 1, 2021. A recurrent neural network that used a time series of electronic health record data was applied to data that were collected when a patient’s peripheral oxygen saturation level fell below the normal range (<97%) to predict the subsequent development of ARDS during the remaining duration of patients’ hospital stay. Model performance was assessed with the area under the receiver operating characteristic curve and area under the precision recall curve of an external hold-out test set.

Results

For the whole data set, the median time between the first peripheral oxygen saturation measurement of <97% and subsequent respiratory failure was 21 hours. The area under the receiver operating characteristic curve for predicting subsequent ARDS development was 0.73 when the model was trained on a labeled data set of 6930 patients, 0.78 when the model was trained on the labeled data set that had been augmented with the unlabeled data set of 16,173 patients by using SSL techniques, and 0.84 when the model was trained on the entire training set of 23,103 labeled patients.

Conclusions

In the context of using time-series inpatient data and a careful model training design, unlabeled data can be used to improve the performance of machine learning models when labeled data for predicting ARDS development are scarce or expensive.
Development of and Experiences With an Informational Website on Early Labor: Qualitative User Involvement Study
Authors: Myhre Enid Leren , Garnweidner-Holme Lisa , Dahl Bente , Reigstad Marte Myhre , Lukasse Mirjam
Published: August 2021

Background

The period of regular contractions before 4 cm of cervical dilatation is often referred to as the latent phase or early labor. Women find it challenging to prepare for and cope with this phase of labor, and easily accessed web-based information from reliable sources may be useful in this preparation.

Objective

The aim of this study is to describe the development of a Norwegian website, Latens.no, for people seeking information on early labor and to explore users’ experiences with the website to increase its user-friendliness.

Methods

We developed a website using an iterative process involving a multidisciplinary research team, health personnel, users, a graphic designer, and an expert in software development. We explored the website’s user-friendliness using semistructured individual interviews and the think-aloud method. All interviews were audio recorded and transcribed. We then analyzed the participants’ feedback on the website.

Results

Participants included women who had recently given birth to their first baby (n=2), women who were pregnant with their first baby (n=4), and their partners (n=2). Results from participants’ experiences completing tasks included positive feedback related to the content of Latens.no, positive feedback related to the website’s design, and suggestions for improvement. Participants wanted to find information on early labor on the internet. Moreover, they found the information on the website relevant, trustworthy, and easy to read, and the design was attractive and easy to use. Overall, the participants performed the tasks easily, with few clicks and minimal effort.

Conclusions

The think-aloud method, while performing tasks, allowed for detailed feedback. The participants confirmed the user-friendliness of the website but at the same time provided information enabling improvement. We expect that changes made based on this user-centered design study will further increase the usability and acceptability of Latens.no.
Experience of and Worry About Discrimination, Social Media Use, and Depression Among Asians in the United States During the COVID-19 Pandemic: Cross-sectional Survey Study
Authors: Pan Shuya , Yang Chia-chen , Tsai Jiun-Yi , Dong Chenyu
Published: August 2021

Background

The COVID-19 outbreak has spurred increasing anti-Asian racism and xenophobia in the United States, which might be detrimental to the psychological well-being of Asian people living in the United States.

Objective

We studied three discrimination-related variables, including (1) experience of discrimination, (2) worry about discrimination, and (3) racism-related social media use during the COVID-19 pandemic among Asians in the United States. We examined how these three variables were related to depression, and how the association between racism-related social media use and depression was moderated by personal experience of and worry about racial discrimination.

Methods

A web-based, cross-sectional survey was conducted. A total of 209 people (mean age 33.69, SD 11.31 years; 96/209, 45.93% female) who identified themselves as Asian and resided in the United States were included in the study.

Results

Experience of discrimination (β=.33, P=.001) and racism-related social media use (β=.14, P=.045) were positively associated with depressive symptoms. Worry about discrimination (β=.13, P=.14) was not associated with depression. Worry about discrimination moderated the relationship between racism-related social media use and depression (β=–.25, P=.003) such that a positive relationship was observed among those who had low and medium levels of worry.

Conclusions

The present study provided preliminary evidence that experience of discrimination during the COVID-19 pandemic was a risk factor of depressive symptoms among Asian people in the United States. Meanwhile, racism-related social media use was found to be negatively associated with the well-being of US Asians, and the relationship between social media use and depression was significantly moderated by worry about discrimination. It is critical to develop accessible programs to help US Asians cope with racial discrimination both in real lives and on social media during this unprecedented health crisis, especially among those who have not been mentally prepared for such challenges.
Sociotechnical Drivers and Barriers in the Consumer Adoption of Personal Health Records: Empirical Investigation
Authors: Ruhi Umar , Majedi Armin , Chugh Ritesh
Published: August 2021

Background

Increasingly popular in the health care domain, electronic personal health records (PHRs) have the potential to foster engagement toward improving health outcomes, achieving efficiencies in care, and reducing costs. Despite the touted benefits of PHRs, their uptake is lackluster, with low adoption rates.

Objective

This paper reports findings from an empirical investigation of the sociotechnical factors affecting the adoption of PHRs.

Methods

A research model comprising personal and technological determinants of PHR adoption was developed and validated in this study. Demographic, technographic, and psychographic data pertaining to the use of PHRs were collected through a web-based questionnaire for past, current, and potential users. Partial least squares-based structural equation modeling was used to estimate a structural model of cognitive and affective factors impacting intentions to use PHRs.

Results

The analysis revealed that in addition to the expected positive impact of a PHR system’s usefulness and usability, system integration also positively affects consumers’ intention to adopt. The results also suggest that higher levels of perceived usability and integration do not translate into higher levels of perceived usefulness. The study also highlights the importance of subjective norms, technology awareness, and technology anxiety as direct antecedents of the intention to adopt PHRs. The differential effects of the adoption factors are also discussed.

Conclusions

We hope that our study will contribute to the understanding of consumer adoption of PHRs and help improve the design and delivery of consumer-centric health care technologies. After discussing the implications for research, we provide suggestions and guidelines for PHR technology developers and constituents in the health care delivery chain.
Limited Interaction Targeted Epidemiology of HIV in Sexual and Gender Minority American Adolescents and Adults: Feasibility of the Keeping it LITE Study
Authors: Gleason Neil , Serrano Pedro A , Muñoz Alejandro , French Audrey , Hosek Sybil
Published: August 2021

Background

HIV infection rates among sexual minority men and transgender individuals, particularly adolescents and young adults, remain elevated in the United States despite continued improvement in the HIV public health response. However, there remains a knowledge gap in understanding the barriers faced by this community in receiving HIV care and prevention resources. To address this, the Keeping it LITE study was conducted to assess HIV risk factors and barriers to preventive treatment in a large national cohort of young sexual minority men and transgender individuals at high risk of HIV infection.

Objective

This study aims to evaluate the feasibility of enrolling a large remote cohort, challenges encountered in recruitment, and adjustments made to address these challenges.

Methods

A large national cohort (n=3444) of young sexual minority men and transgender individuals were recruited. Participants were recruited via advertisements on social media; social apps for lesbian, gay, bisexual, transgender, and queer individuals; print advertising; and word-of-mouth. Before enrolling, participants verified their HIV status using an at-home HIV test or by providing their own testing documentation. Descriptive statistics were generated, and a series of logistic regressions were conducted to evaluate demographic differences between recruitment methods, HIV testing methods, and enrollment status.

Results

The Keeping it LITE study was particularly successful in recruiting participants via social media, with over half of the participants recruited from advertisements on social media platforms such as Facebook, Instagram, and Snapchat. Participants were also recruited via word-of-mouth; lesbian, gay, bisexual, transgender, and queer apps (ie, Grindr, Scruff); and print advertisements, and participants recruited from these sources tended to be older and have a higher risk profile. The study was also successful in recruiting a large sample of transgender youth, particularly transgender men and nonbinary individuals. At-home HIV testing was acceptable and more heavily used by younger participants, although several barriers were encountered and overcome in the implementation of this testing. The study had more limited success in recruiting participants aged 13-17 years because of lower enrollment rates and barriers to advertising on social media platforms. The implications of these findings for the future development of HIV research and intervention protocols among sexual minorities and trans youth are discussed.

Conclusions

The methods used in the Keeping it LITE study, particularly recruitment via social media, were found to be feasible and acceptable to participants.
Awareness, Views, Perceptions, and Beliefs of Pharmacy Interns Regarding Digital Health in Saudi Arabia: Cross-sectional Study
Authors: Alsahali Saud
Published: August 2021

Background

Digital health technologies and apps are rapidly advancing in recent years. It is expected to have more roles in transforming the health care system in this era of digital services. However, limited research is available regarding delivering digital health education in pharmacy and the pharmacy students’ perspectives on digital health.

Objective

This study aims to assess pharmacy interns’ awareness of digital health apps in Saudi Arabia and their views regarding the coverage of digital health in the education of pharmacists. In addition, we assessed the interns’ perceptions and beliefs about the concepts, benefits, and implementation of digital health in practice settings.

Methods

A cross-sectional study using a web-based survey was conducted among pharmacy interns at Unaizah College of Pharmacy, Qassim University, Saudi Arabia. An invitation with a link to the web-based survey was sent to all interns registered at the college between January and March 2021.

Results

A total of 68 out of 77 interns registered in the internship year participated in this study, giving a response rate of 88%. The mean total score for pharmacy interns’ awareness of digital health apps in Saudi Arabia was 5.66 (SD 1.74; maximum attainable score=7). The awareness with different apps ranged from 97% (66/68) for the Tawakkalna app to 65% (44/68) for the Ministry of Health 937 call center. The mean total score for attitude and beliefs toward concepts and benefits of telehealth and telemedicine apps was 58.25 (SD 10.44; maximum attainable score=75). In this regard, 84% (57/68) of the interns believed that telehealth could enhance the quality of care, 71% (48/68) believed that it could help effectively provide patient counseling, and 69% (47/68) believed it could improve patients’ adherence to therapy. In this study, 41% (28/68) believed that the current coverage of digital health in the curriculum was average, whereas only 18% (12/68) believed it was high or very high coverage. Moreover, only 38% (26/68) attended additional educational activities related to digital health. Consequently, the majority (43/68, 63%) were of the opinion that there is a high or very high need to educate and train pharmacists in the field of digital health.

Conclusions

Overall, the interns showed good awareness of common digital health apps in Saudi Arabia. Moreover, the majority of the interns had positive perceptions and beliefs about the concepts, benefits, and implementation of digital health. However, the findings showed that there is still scope for improvement in some areas. Moreover, most interns indicated that there is a need for more education and training in the field of digital health. Consequently, early exposure to content related to digital health and pharmacy informatics is an important step to help in the wide use of these technologies in the graduates’ future careers.
Increasing Quality Transplants through the Use of Microbial and Soil Amendments against Damping-Off Disease in Onion
Authors:   Central Luzon State University, Science City of Munoz, Nueva Ecija, Philippines, Dacumos Constancia , Patricio Marilyn ,   Crops and Cropping System Division, Research Extension and Training, Central Luzon State University, Science City of Munoz, Nueva Ecija, Philippines, Melegrito Rovel ,   Crops and Cropping System Division, Research Extension and Training, Central Luzon State University, Science City of Munoz, Nueva Ecija, Philippines
Published: August 2021

The study was undertaken to identify best microbial and soil amendment in seedbeds that yielded quality transplants and to determine the effect of microbial and soil amendments in the seedling production.The following treatments were evaluated: T1 - Bacillus subtilis at 25 g; T2 - Trichoderma spp. (Asperellum and longibrachiatum) at 25 g; T3 – Vermicompost at 1.0 kg; T4 - Composted goat manure at 1.0 kg; T5 - Mancozeb M-45 at 10 g and T6 – Untreated (no application). The trial was laid in a Randomized Complete Block Design (RCBD) and replicated three times. Observations were done at 10 DAS for % seed germination, 16 DAS and 25 DAS for % damping off, % seedling survival at 30 DAS, seedling height, root length and fresh weight of seedlings at pulling stage (35 DAS). The result of the study showed Red Pinoy onion variety has the lowest percentage of dumping off disease from the application of Vermicompost at 16 DAS and 25 DAS. Highest percent seed germination at 10 DAS, highest percent seedling survival at 30 DAS, tallest seedlings and heaviest weight of seedlings were produced by the application of composted goat manure. For Yellow Granex onion variety, Trichoderma spp. obtained lower percentage of dumping off at 25 DAS statistically similar to the effect of standard control Mancozeb M-45. Composted goat manure produced highest percent seed germination and Vermicompost obtained higher percent seedling survival comparable to the standard control Mancozeb M-45. Results obtained showed a significant (P=0.05) effect on the treatments on the different characters measured. Based on result, application of all treatments have shown fungal activity that promoted better growth and quality of onion seedlings for transplant.
Las golondrinas no volvieron a casa. La cobertura periodística sobre las trabajadoras rurales durante la pandemia
Authors: Pizarro Tatiana Marisel
Published: August 2021

En este artículo proponemos mostrar cómo el género, la clase y la raza influyeron en la construcción de la agenda mediática de Argentina, durante el Aislamiento Social, Preventivo y Obligatorio (ASPO) impuesto como medida preventiva ante la pandemia de la covid-19. En particular, nos enfocamos en la ausencia de información en torno a las realidades de las mujeres indígenas varadas en diversos lugares de Argentina, por causa de la cuarentena impuesta. Nos centramos en la campaña #ElDerechoARetornarAcasa, desarrollada por el Movimiento de Mujeres Indígenas por el Buen Vivir en Argentina, cuya finalidad era presentar esta situación ante los medios de comunicación y, con esto, lograr una solución por parte del Estado. Para cumplir con el objetivo propuesto, realizamos un relevamiento de lo publicado en tres diarios argentinos en su plataforma digital —Página|12, Clarín y La Nación—, durante los primeros días de la instauración de la cuarentena. Nos enfocamos en aquellas noticias referidas a las trabajadoras estacionales que no pudieron retornar a su hogar por la cuarentena que se estableció desde el 20 de marzo de 2020, sin tener una fecha de culminación prevista.
#SusanaDistancia ante COVID-19 en México. Campañas y redes gubernamentales en Twitter
Authors: Olmedo Neri Raul Anthony
Published: August 2021

El presente trabajo estudia la estrategia comunicativa del gobierno federal mexicano a partir del análisis del hashtag #SusanaDistancia en Twitter. Para ello, se ha empleado el método de Análisis de Redes Sociales (ARS) en el nivel digital, con el objetivo de identificar la red subyacente a estos procesos, así como los perfiles que desempeñan un papel estratégico en la diseminación de la información.Se recopiló la información generada alrededor de #SusanaDistancia del 21 al 29 de marzo y del 19 al 26 de abril de 2020. Esto se realizó a través de la minería de datos, y se visualizaron las redes de interacción-comunicación con el software Gephi.El valor del presente trabajo descansa en la identificación y análisis de las estructuras reticulares que se forman alrededor de una campaña gubernamental del gobierno mexicano ante el contexto derivado de la covid-19. Entre los resultados más relevantes de este análisis, se encuentra la observación, dentro de las redes, del posicionamiento ascendente de funcionarios políticos e instituciones públicas, los cuales se han encargado de dirigir y difundir información oficial sobre las buenas prácticas sanitarias en México.
Presentación
Authors: Pareja Sánchez Norma
Published: August 2021

Norma Pareja Sánchez, a partir de una lectura cuidadosa de todos los materiales que conforma en número 31 de la Revista Mexicana de Opinión Pública, describe sus características y pondera la importancia de cada uno de ellos.
Capital contable. Perspectivas con enfoque investigativo
Authors:   Corporación Universitaria Remington, Muñoz-Ruiz Jorge Armando , Flórez-Flórez Claudia Patricia ,   Corporación Universitaria Remington, Loaiza-Betancur Edilgardo de Jesús ,   Politécnico Colombiano Jaime Isaza Cadavid, Gómez-Ocampo Gabriel Antonio ,   Corporación Universitaria Remington, Farfán Rodríguez Juliana Carolina ,   Corporación Universitaria Remington, Ruiz Acevedo Valentina ,   Corporación Universitaria Minuto de Dios, Hinestroza Lagares Jhon Neyler ,   Corporación Universitaria Minuto de Dios, Amarís López Néstor Enrique , González Velásquez María Riguey ,   Corporación Universitaria Remington, Quintero Quintero Jorge Alcides ,   Corporación Universitaria Remington, Rico Buitrago Jesús Daniel ,   Corporación Universitaria Remington, Raga Perlaza Rubén Darío ,   Corporación Universitaria Remington, Cartagena Mejía Guillermo León ,   Corporación Universitaria Remington, Pérez Romero Luis Alfonso ,   Universidad Autónoma de Guadalajara, México, Cañas Vallejo Sandra Yaneth ,   Corporación Universitaria Minuto de Dios, Álvarez Mejía Sandra Patricia
Published: August 2021

La Corporación Universitaria Remington presenta el libro titulado Capital Contable: Perspectivas con enfoque investigativo, que compendia diversas investigaciones que se han realizado en torno a las ciencias contables y afines. Este manuscrito está compuesto por un total de ocho capítulos, donde cada uno de ellos representa acciones investigativas que atienden a problemas y situaciones que afectan el desenvolvimiento de las organizaciones. Algunos resultados muestran trabajos enmarcados en investigaciones con enfoques cualitativos y otros, con tendencias cuantitativas. En su conjunto, este libro muestra la ejecución de procedimientos metodológicos acordes a los objetivos planteados en cada una de las investigaciones.
Smart Vehicle Sensor System
Authors: K R Suma
Published: August 2021

Over recent years production of the vehicle around the world has increased rapidly, vehicle theft has become a shared concern for all citizens. Security and safety have always become a necessity. However, present anti-theft systems lack the tracking and monitoring function. The Wi-Fi module enabled cost-effective solution has been made to protect the vehicles. This paper attempts to utilize two physically disjoint units in conjunction with each other, to provide a fool-proof mechanism against vehicle theft. A prototype has been made using Arduino and Wi-Fi module. Android smartphones are used to design for the user interface that allows access of the vehicle to an intended person only.
Leaf Disease Detection using Group Method Data Handling
Authors: Kumari P.
Published: August 2021

During crop planting, the location of sicknesses in the leaf parts is one of the critical connects to the anticipation and control of yield illnesses. This paper takes different leaves as exploratory articles, and uses the profound learning technique to remove the illness highlights on leaf surface. After persistent iterative learning, the organization can anticipate the class of each sickness picture. The guided channel is utilized in pre-handling stage and the highlights are extricated utilizing texture feature extraction, color feature, morphological technique. Then the selected features are fed into Group Method of Data Handling (GMDH) and the comparison experiments are performed. The outcomes illustrate that the method is effective, it can identify whether the plant is the diseased plant or not.
Design and Analysis of Various Baffle System in Shell Tube Heat Exchanger
Authors: Amarnagendram Dr. B.
Published: August 2021

Heat exchangers are systems of thermal engineering in which its applications are occurred in different industries. Heat exchangers are the basic or heart of once organized plant since it transfers energy to the processing plant Shell and tube heat exchanger is the most common type heat exchanger widely use in refinery and other chemical process, because it suits high pressure application. The process in solving simulation consists of modeling and meshing the basic geometry of shell and tube heat exchanger using CFD package ANSYS 18.0. The objective of the project is design of shell and tube heat exchanger with various baffle structure and study the flow and temperature field inside the shell using ANSYS software tools. The heat exchanger with single, double, and with 10 and 20 degree inclined baffle will be defined. In simulation will show how the pressure varies in shell due to different double baffle angle and flow rate. The flow pattern in the shell side of the heat exchanger with angled baffles was forced to which results in a significant increase in heat transfer coefficient per unit pressure drop in the heat exchanger.
Rubik’s Cube Solver
Authors: Srivastava Shivanshu
Published: August 2021

: Rubik’s cube is considered to be the most interesting and challenging problem in the world. It is a 3D combination puzzle that was originally called the Magic cube. It has only one correct solution out of the 43quintillion other possibilities. Building an application to solve such a puzzle is a very challenging task. In this paper, the design of such a Rubik’s cube solver website using Color Recognition has been discussed. This paper includes the overall process flow for solving the Rubik cube [1]. Our website is designed in such a way that when it will receive a scrambled Rubik’s Cube, it will visually evaluate it, will determine how that Rubik’s cube can be solved through manipulations and will provide a guide of the solution to the specific user. We have used Color recognition for detecting the initial orientation of the cube. And Segmentation is used to obtain the color pattern of the scrambled cube.
Workers’ Welfare and Safety Measures in Sri Vellingiri Andavar Ceramics, Erode
Authors: S Rekha
Published: August 2021

Worker is considered as an important asset for organizations. Thus it becomes important that every area related with the employees right since their recruitment to resignation is equally taken care of by the management. This study attempt to focus and analyze various workers safety and welfare measures provided at Sri Vellingiri Andavar Ceramics, Erode and to as certain if they are being implemented effectively. Welfare and safety measures have a way both for satisfaction and motivation among workers. Thus it’s important to implement proper security and welfare measures in the organization for ultimate satisfaction of workers. For the purpose of study a structured questionnaire was given to the employees. Percentage analysis, weighted average and chi- square are used to analyze the data collected. It is observed that the safety and welfare measures are being implemented effectively. The safety measures are being implemented effectively in the factory areas and especially while working with machines. Welfare measures also provide build-up stable workers force and promotes better working environment. The workers prefer to have few additions in the list of welfare measures provided by the organization.
Review Scope on Design & Operation of Automatic Power Factor Controller Circuit with Artificial Intelligence using Fuzzy Logic
Authors: Bishla Sandeep
Published: August 2021

This paper shows the scope of making an automatic Power Factor controller with the help of Fuzzy Logic. A Single-phase PF circuit is taken for experimental purposes in two sets of capacitor banks. Single-phase supply connected to Induction Motor as load considering for power factor correction. Capacitor along with its circuit connected in parallel to the Induction Motor. Selection of capacitor is done based on multiplier table using K Factor along with initial Cos of the load. Incoming control from MCB and current measurement are done at incoming as well as on capacitor banks individually. Seeking best selection, represent the relation between KVAr and µF. Results show we got desired permutations & combinations of data for making the FLC rule table. By this, we also thought about the industrial application using reactive power during the jerking load and sleep mode of machines.