bluuebunny/crossref_metadata_2025 huggingface dataset:
UNDERSTANDING THE FUNDAMENTALS AND DYNAMICS OF THE GIG EMPLOYMENT LANDSCAPE IN INDIA
Authors: Singh Ruchi , Bhushan Vani
Published: August 2023

The Gig Economy in India has emerged as a significant force in reshaping the traditional employment landscape, and offering unique opportunities for workers seeking flexible work arrangements. This article explores the dynamic and evolving nature of the gig economy in India and its impact on gig workers. The first part of the article introduces the historical and analytical concept of the terms gig economy, gig workers, platform workers and app-based workers. the author uses various illustrations to coin the terms and differentiate between them legally and technically.The second part of the paper revolves around certain challenges for gig workers in India because of the absence of formal employment relationship and categorisation as independent workers. This part raises arguments of social security under the Indian legal system. The arguments are substantiated around denial of essential benefits, social protections, and job security and other raising concerns for gig workers about their constitutional labour and economic rights.In the last part the author argues around the position of unorganised workers before and after Social Security Code 2021 and gives an in-depth analysis of the changes in legal regime and status of gig workers in the last one decade. Overall, the article sheds light on the complexities of the gig economy in India.
A STUDY ON THE EFFECTIVENESS OF ESP ROLE-PLAYING IN NURSING ENGLISH INSTRUCTION
Authors:   Assistant Professor, English Department, Center for General Education, Chang Gung University of Science and Technology, Taoyuan, Taiwan, R.O.C., Ko Ling-Yao
Published: August 2023

The purpose of this study intends to investigate the effectiveness of using ESP role-playing in nursing English instruction. The instructor utilized the textbook Nursing English for Pre-professionals as a basis to ask learners to assimilate and fabricate their own conversations in contexts as part of the requirement for course fulfillment. The pre-professionals had the option to change their assigned topics if they wished. Topics were assigned through lots-drawings. After the midterm exam, all written assignments were collected, checked for grammar errors by the English teacher, and then recorded on video by the junior nursing students themselves. The evaluation criteria included 40% for nursing content (including the appropriate application of nursing skills, procedures, and medical terminology), another 40% for content innovation (encompassing the richness and originality of the content and English performance), and 20% for multimedia skills (such as photography, editing, special effects, and background music). Based on assessments from both the nursing and English teachers, it was found that nursing students benefited significantly from the multimedia videos (MVs), particularly in terms of overall English competence, understanding of nursing medical theories and procedures, peer relationships, and multimedia skills. The outcomes also indicated that the pre-professionals not only improved their comprehension of the nursing textbook content (93%) but also felt that their nursing knowledge and theories were gradually enhanced (88%). Additionally, the MV project enhanced the enjoyment and diversity of the courses for the learners (93%), fostered stronger friendships among them (95%), and strengthened their multimedia skills (92%). Overall, participants expressed a higher preference for nursing English courses when engaged in this nursing project (95%).
Short video marketing factors influencing the purchase intention of Generation Z in Vietnam
Authors: Thuy An Ngo Thi , Quach Phu , Vinh Nguyen Thanh , Duy Nguyen Anh , Minh Nguyet Nguyen Thi
Published: August 2023

In the digital age and technological advancements, short video platforms have become essential tools for online sales and marketing. In addition, shopping through short video marketing has gained significant attention, especially among Generation Z, as it brings unique and novel shopping experiences. The primary goal of this study is to explore the factors of short video marketing that influence the purchase intentions of Generation Z consumers in Vietnam. To conduct this study, a quantitative approach was employed, utilizing a 5-point Likert scale questionnaire administered online through a non-probability sampling method. The sample comprised 350 respondents aged between 16 and 26 from Vietnam, representing Generation Z, who made purchases through short video marketing. The relationships among various variables were analyzed using Structural Equation Modeling (SEM). The study’s results demonstrated a positive, significant, and direct relationship between all factors of short video marketing, including interesting content, perceived usefulness, scenario-based experience, user interaction, perceived enjoyment, and involvement of celebrities and consumer brand attitude. Among these factors, perceived usefulness is the most influential factor on customer brand attitude. In addition, the study revealed that consumer brand attitude, acting as a mediating variable, had a positive and significant impact on consumers’ purchase intentions. Based on the findings, the study suggested strategies for businesses to enhance the quality and content on short video platforms, thereby improving the effectiveness of their marketing strategies.
AcknowledgmentThe authors express a sincere gratitude to all the participants who generously took part in this research study.
Relationship between structural changes in the myocardium of the left atrium and the effectiveness of cryoablation in persistent atrial fibrillation
Authors: Kirilova V. S. , Stukalova O. V. , Aparina O. P. , Maykov E. B.
Published: August 2023

Introduction. High-resolution contrast-enhanced cardiac magnetic resonance imaging reveals left atrial fibrosis, the severity of which may be related to the effectiveness of catheter ablation.Aim. To study the structural changes of the left atrium myocardium according to magnetic resonance imaging with contrast in patients with persistent atrial fibrillation before balloon cryoablation and compare the results with the effectiveness of the intervention.Materials and methods. The study included 89 patients with persistent form of atrial fibrillation. The patients were randomized into two groups: in the 1st, the pulmonary veins cryoablation was performed (n = 39 (53.4%)); in the 2nd, the pulmonary veins and posterior wall of the left atrium cryoablation was performed (n = 34 (46.6%)). All patients before cryoablation underwent cardiac magnetic resonance imaging with delayed contrast using a high-resolution MR pulse sequence. The clinical efficacy of the intervention was evaluated after 12 months after the cryoablation.Results. The severity of fibrotic myocardial lesion of the left atrium before balloon cryoablation was 0.7% [0; 3,07]. Overall efficiency of the intervention rate was 57.1%. Cryoablation was most effective (59.5%) in patients severity of fibrosis less than 20% and least effective (50%) severity of fibrosis more than 20%. Risk factors for atrial fibrillation recurrence after cryoablation were: early atrial fibrillation recurrence, female sex, the maximum atrial fibrillation duration more than 3 months, stroke/TIA.Conclusion. The severity of left atrial fibrosis more than 20%, early recurrence of atrial fibrillation in the first 3 months after the cryoablation, female sex, the duration of the maximum atrial fibrillation episode more than 3 months, and a history of stroke/transient ischemic attack may be associated with recurrence of AF during the period observation 3–12 months.
Risk of bleeding requiring blood transfusion after transcatheter implantation of the aortic valve in patients with concomitant coronary artery disease
Authors: Nurkhametova A. A. , Imaev T. E. , Komlev A. E. , Kurbanov S. K. , Ageev F. T. , Lepilin P. M. , Kolegaev A. S. , Akchurin R. S.
Published: August 2023

Introduction. Perioperative bleeding is a potentially life-threatening complication of surgical intervention. The incidence of perioperative bleeding during transcatheter aortic valve implantation (TAVI) reaches 6%. An increased risk of perioperative bleeding is noted in patients requiring constant antiplatelet therapy, which includes patients with concomitant coronary artery disease (CAD).Aim. The study of risk factors of bleeding, which require blood transfusion in candidates for TAVI with concomitant CAD.Materials and methods. A retrospective study. The patients with concomitant CAD who underwent TAVI from 2016 to 2021 with hemodynamically significant coronary artery stenosis (n = 270) were included in this study. The incidence of early postoperative bleeding requiring blood transfusions was analyzed. Risk factors of bleeding development were evaluated.Results. The average age of the patients was 77.7 ± 7.2 years, the number of male and female patients was comparable (45.9 and 54.1%).The majority of patients were diagnosed with chronic heart failure (90.4%), more than half of the patients suffered from pulmonary hypertension (51.9%). The incidence of bleeding that required blood transfusion was 9.3%. The risk factors of the bleeding were dual antiplatelet therapy, baseline anemia (hemoglobin less than 120 g/l), history of stroke, chronic renal failure and critical aortic stenosis. The risk factors were included in the predictive model.Conclusion. Bleeding requiring blood transfusion in patients with severe aortic stenosis and CAD after TAVR occurs in 9.3%. It can be partially predicted using the predictive model. The using of the predictive model may be useful in determining the predominant risk of thrombotic or bleeding events after surgery.
Need to determine the residual concentrations of direct oral anticoagulants in patients with atrial fibrillation undergoing transcatheter implantation of the aortic valve
Authors: Staroverova A. I. , Kropacheva E. S. , Dobrovolsky A. B. , Titaeva E. V. , Panchenko E. P.
Published: August 2023

Introduction. Lengthening the period of direct oral anticoagulant (DOAC) withdrawal before intervention is not allowed. Chronic kidney disease (CKD), impaired liver function, extremely low or high body mass, chronic heart failure (CHF), and age > 90 years can increase blood DOAC levels. DOAC therapy does not require routine laboratory monitoring. However, there are coagulation tests that can be used to detect the presence of a drug in blood. Duration of DOAC discontinuation and the appropriateness of assessing residual anticoagulant concentrations before intervention with a high bleeding risk in a special category of patients is to be defined.Aim. To measure residual concentrations of anticoagulants and their association with perioperative bleeding risk in patients with AF using DOACs in blood samples collected immediately before TAVI.Materials and methods. The 94 patients with atrial fibrillation (AF) included in the study were characterized by senile age, a high risk of thromboembolic complication (ТС), many comorbidities, and a high prevalence of senile asthenia. The apixaban and rivaroxaban concentrations were measured according to the value of anti-Xa activity and control plasmas with normal levels of coagulation factors (Diagnostica Stago, France).Results. The median time of DOAC withdrawal before TAVI was 60 hours [47.5; 72]. However, the DOAC concentration exceeded 30 ng/ml in 1/5 patients (19.2%), and stage 3 or more CKD was more common in these patients. Our study showed the relationship between DOAC concentration and the duration of DOAC withdrawal period. However, the relationship between DOAC concentration and bleeding that occurred in the perioperative period could not be found. Patients with signs of CKD were older and had a lower BMI as compared to patients without CKD.Conclusion. Our data showed the relationship between the DOAC concentration and the duration of DOAC withdrawal period. No relationship was found between DOAC concentrations and bleeding.
The Effectiveness of a Poly-herbal Formulation from Traditional Persian Medicine (TPM) in Gastroesophageal Reflux Disease (GERD), a Double-Blinded Randomized Clinical Trial
Authors: Ebrahimi Nazila , Fallahzadeh Abarghooee Ebrahim , Vazin Afsaneh , Ansari Ramin , Zarshenas Mohammad Mehdi
Published: August 2023

Introduction::

Gastroesophageal reflux disease (GERD) leads to increased contact of the acidic refluxate with the esophageal mucosa. Nearly 10- 20 % of the world's population is affected by GERD. Due to the complications associated with GERD, as well as complications of long-term treatment with current medications, and global demand toward Complementary and Alternative Medicine (CAM), this study evaluated the efficacy of a poly-herbal formulation known as Mastic pill (Habb-e-Mastaki) from traditional Persian medicine (TPM), previously reformulated and standardized, in a double-blinded randomized clinical trial.

Method::

34 patients in the drug group received 4 capsules of Mastic pill plus Omeprazole capsule 20 mg daily. 34 patients in the placebo group received the same dosing of Omeprazole and placebo. The medication was given to patients for a total duration of 4 weeks. All patients were requested to fill out the modified GERD-HRQL questionnaire at the beginning and every two weeks for a total duration of six weeks.

Result::

Reflux, and heartburn severity score as well as disruption of personal life score significantly reduced in both groups, but it was more remarkable in the drug group (P-value = 0.0001). Dysphagia, early satiation, and nausea significantly reduced in the drug group while the placebo group showed no improvement. Our results suggest that constipation, bloating, belching, and odynophagia did not significantly improve in none of the groups.

Conclusion::

This study showed that Habb-e-Mastaki is effective against GERD. Further detailed in vitro and in vivo studies aimed at discovering the mechanism of action of this formulation and clinical studies involving a larger population will be necessary to explain and confirm the results obtained in the present study.
A Promising Approach of Dermal Targeting of Antipsoriatic Drugs via Engineered Nanocarriers Drug Delivery Systems for Tackling Psoriasis
Authors: Tripathi Devika , Srivastava Mansi , Rathour Krislay , Rai Awani Kumar , Wal Pranay , Sahoo Jagannath , Tiwari Ritesh Kumar , Pandey Prashant
Published: August 2023

Psoriasis is a complex autoimmune skin condition with a significant genetic compo-nent. It causes skin inflammation and is characterized by flaky, silvery reddish spots that can worsen with age. This condition results from an impaired immunological response of T-cells and affects 2-5% of the global population. The severity of the illness determines the choice of treat-ment. Topical treatments are commonly used to treat psoriasis, but they can have several adverse effects. Biological therapy is another option for treating specific types of psoriasis. Recently, new nanoformulations have revolutionized psoriasis treatment. Various nanocarriers, such as liposomes, nanostructured lipid nanoparticles, niosomes, and nanoemulsions, have been devel-oped and improved for drug delivery. The use of nanocarriers enhances patient compliance, pre-cise drug delivery, and drug safety. This review aims to suggest new nanocarrier-based drug de-livery systems for treating psoriasis. It discusses the importance of nanocarriers and compares them to traditional treatments. Anti-psoriatic drugs have also been investigated for cutaneous de-livery using nanocarriers. The review also covers various factors that influence dermal targeting. By highlighting several relevant aspects of psoriasis treatment, the review emphasizes the cur-rent potential of nanotechnology. Using nanocarriers as a drug delivery technique may be a promising alternative treatment for psoriasis.
Control de servo sistemas no lineales usando redes neuronales
Authors: Ponce Luis A. , Moreno Arturo , Herrera Bendezú Luis G.
Published: August 2023

En este trabajo se plantea el problema de identificación de trayectoria de sistemas no lineales empleando redes neuronales. Los resultados teóricos se verifican mediante un estudio experimental en el cual el sistema no lineal está conformado por un servomotor DC de imán permanente con reducción que además tiene una varilla acoplada al eje del motor, a manera de un Brazo Robótico de un Grado de Libertad (BRIL), en donde la varilla es capaz de moverse en un plano perpendicular al eje del motor y es controlada por la tensión de armadura aplicada al servomotor.
A Method for Determining the Type of Human Breathing Based on Machine Learning
Authors: Zubkov A. V. , Donsckaia A. R. , Marenkov Ya. A. , Gomazkova Yu. S. , Bolgov D. A.
Published: August 2023

The purpose of research is to increase the effectiveness of respiratory rehabilitation through the development of automated methods for determining the type of breathing based on machine learning.

   Methods. After the COVID-19 pandemic, respiratory rehabilitation became particularly important, as well as methods of home (remote) rehabilitation using the means provided by modern technologies, for which new methods and means began to be developed, including using wireless sensors or motion capture systems. Special attention during respiratory rehabilitation is paid to the type of human breathing, as well as automated methods for analyzing breathing. At the moment, the problem arises that most of the developed methods for analyzing breathing do not work with types of breathing: they either determine only one type, for example, diaphragmatic, or simply analyze the condition of the lungs. In this regard, there is a need to develop a method for analyzing and determining directly the types of human respiration. This article discusses three methods for solving the problem of determining the type of human breathing using a motion capture system and machine learning. The first method is based on static characteristics, for which the Random Forest model was used. The second method, which is based on time characteristics, used the Catch22 model. The third method, which determines the type of respiration using the characteristics of the sinusoid, used a composite model based on two models of Hist Gradient Boosting.

   Results. Three methods have been developed to determine the type of human breathing. Machine learning models were trained for each of the methods to find the best accuracy result. After conducting a comparative analysis of the developed approaches, the approach with the best accuracy is determined.

   Conclusion. A method for determining the type of human breathing based on machine learning has been developed, the accuracy of which is 0.81.
The Process of Managing Virtual Organizations in the Regional Economy: Problems and Directions of Development
Authors: Balaeva L. I. , Golikova G. V.
Published: August 2023

Relevance. Virtual organizations and virtual teams are considered a response to the tightening requirements of modern business – deadlines, quality, efficiency, especially in a global environment. The pandemic has accelerated the tendency to expand the use of these structures in the country's economy as a whole, as well as at the regional level. Cooperation within the framework of the VO contributes to flexibility, efficiency, customer orientation and risk reduction. In order for virtual organizations to fully use their advantages, it is necessary to take into account that due to the specifics of such organizations in the field of PPP in the regional economy, certain additional problems may arise when managing them that are not typical for traditional organizations.

The purpose of the study is to generalize, systematize and verify the problems of managing virtual organizations in the regional economy.

Objectives: to substantiate the relevance of identifying and taking into account the problems of managing virtual organizations in the field of public-private partnership; to systematize the problems of managing virtual organizations noted in scientific publications; to verify the information obtained using interviews with Russian managers directly related to virtual organizations and implementing projects in the field of PPP.

Methodology. During the research, the method of desk research, semi-structured interviews, as well as the method of systematization, descriptive method were used.

Results: the main problems of managing virtual organizations in general and at the regional level in particular are systematized.

Conclusions. Many of the problems noted for virtual organizations and teams have a common nature with "traditional" management problems, but they become more relevant due to the specific features of the organization of work. In general, the problems identified by the respondents correlate with the problems of managing virtual organizations noted in scientific publications. Taking into account the possibilities of such problems in practice and proactive management will enable virtual organizations to fully use the advantages in the field of PPP in the regional economy.
Concepts of Karl Popper, Thomas Kuhn, Imre Lakatos in the Context of the Economic Paradigm
Authors: Okorokov V. M. , Shleenko A. V. , Klikunov N. D. , Oleinikova D. G.
Published: August 2023

Relevance. In connection with the decline of neoconservative ideology, methodological disputes have escalated regarding both the methods used by economists and the scientific paradigm underlying economic science itself. If in the XIX century economic analysis corresponded to a critical scientific approach, then in the second half of the XX century economists had to revise the requirements for the quality of research from the standpoint of falsificationism. The article deals with the problems of applying the concepts of K. Popper, I. Lakatosh, etc. Kuhn's approach to the theoretical postulates of the modern economic mainstream, Marxism and institutionalism.

The purpose is to consider the problem of critical application of the concepts of K. Popper, I. Lakatosh and T. Kuhn to modern scientific knowledge and the tasks of current economic research.

Objectives. The following tasks are considered: concretization of the principle of verificationism in relation to economic analysis; concretization of the principle of falsificationism in relation to economic research; determination of the directions of progressive research economic programs.

Methodology. The article is prepared within the framework of the positivist paradigm and an adductive approach combining deductive-inductive logic

Results. Economics is a science from the point of view of the paradigm of Imre Lakatos and Thomas Kuhn, but it is not a sphere of pure scientific knowledge from the standpoint of Karl Popper's falsificationism.

Conclusions. The principle of verificationism dominates modern scientific economic research. Most economic paradigms are degrading. In economic research, it is necessary not only to strive to statistically confirm the hypothesis put forward, but also to compare it with competing scientific explanations.
Specificity of Motivation of the Main Forms of Social Participation of the Population
Authors: Vorobеva I. N.
Published: August 2023

Relevance. In accordance with the postmodern approach, the main driving force of social change and development are the most active segments of the population, social actors. The level of activity of the population can be measured by the number of practices of its social participation, which can be divided into the following forms: formal participation in organizations, informal assistance and helping behavior. To stimulate social activity, it is necessary to study the motivation for social participation of the most active segments of the population.

The purpose is  reveal the essence of the motivation of social participation of the population.

Objectives: measure and analyze the severity of the main practices of social participation based on the results of an empirical study; determine the determining motives for different forms of social participation.

Methodology. The empirical basis of the study was a survey of residents of the city of Cherepovets, Vologda Oblast, conducted in April 2022. 

Results. Practices of social participation are unevenly represented in its various forms. Practices of formal participation are underdeveloped. Involved in these practices, as a rule, they are motivated for themselves, selfdevelopment, gaining new experience, knowledge, personal success, career. The practices of informal participation are more widely developed, which are most concentrated in the improvement of the urban environment, charity, and volunteer activities. The motives for changing the environment, altruistic help to people and motives for personal development are combined. The most developed practices of helping behavior, where the main motive is altruism, the desire to help others.

Conclusions. The motivation for social participation has a complex multicomponent structure. The dominant motive of participation, as a rule, goes in conjunction with two or three motives from different types of motivation. The motivation of different forms of social participation differs significantly.
Machine Learning Model for Predicting Mortality Risk in Complex Chronic Patients: Retrospective Analysis from the ProPCC Program in Catalonia (Preprint)
Authors: Hernández Guillamet Guillem , Morancho Pallaruelo Ariadna Ning , Miró Mezquita Laura , Miralles Basseda Ramón , Mas Bergas Miquel Àngel , Ulldemolins Papaseit Maria José , Estrada Cuxart Oriol , López Seguí Francesc
Published: August 2023

BACKGROUND

The healthcare system is undergoing a shift towards a more patient-centred approach for individuals with chronic and complex conditions, which presents a series of challenges, such as predicting hospital needs and optimizing resources. At the same time, the exponential increase in health data availability has made it possible to apply advanced statistics and artificial intelligence techniques to develop decision-support systems and improve resources planning’ efficiency, diagnosis and patient screening. These methods are key to automating the analysis of large volumes of medical data and reducing professional’s workload.

OBJECTIVE

This article aims to present a machine learning model and a case study in a cohort of highly complex patients to predict death over the following 4 years and early death over the following 6 months since the complexity diagnosing. The method uses easily accessible variables and healthcare resource utilization information.

METHODS

A classification algorithm is selected among six models implemented and evaluated using a stratified cross-validation strategy with k=10 and a 70/30 train-test split. The evaluation metrics used are accuracy, recall, precision, F1-score and area under the curve (AUC-ROC).

RESULTS

The model predicts patient death with an 87% accuracy (recall=0.87, precision=0.82, F1=0.84, AUC=0.88) using the best model, the Extreme Gradient-Boosting classifier (XG-Boost). The results are worse when predicting premature deaths (following 6 months) with an 83% accuracy (recall=0.55, precision=0.64, F1=0.57, AUC=0.88) using the Gradient Boosting Classifier (GR-Boost).

CONCLUSIONS

This study showcases encouraging outcomes in forecasting mortality among patients with intricate and persistent health conditions. The employed variables are conveniently accessible and the incorporation of healthcare resource utilization information of the patient, which has not been employed by current state-of-the-art approaches, display promising predictive power. The proposed prediction model is designed to efficiently identify cases that need customized care and to proactively anticipate the demand for critical resources by healthcare providers.
Can Serious Games educate Children in oral health knowledge? A Qualitative Controlled Pilot Study (Preprint)
Authors: Simon-Krier Alexandra , Hegele Julia Maria , Gerling Kathrin , Hellwig Elmar , Woelber Johan Peter
Published: August 2023

UNSTRUCTURED

Objectives: The purpose of this study was to examine and evaluate a Serious Game developed for oral prophylaxis of children concerning its impact on the user’s state of knowledge, individual responsibility, attitude towards oral hygiene, and player experience in a randomized controlled study through qualitative analysis.
Material and Methods: Thirty school children were randomly assigned to play either a dental Serious Game or a control game. Before and after playing, all children were interviewed with a predefined questionnaire. After the transcription of the interviews, qualitative content analysis was performed using a category system.
Results: Both games were evaluated very positively, while only the experimental group showed a noticeable increase in knowledge regarding caries and the use of fluorides. The individual level of game-difficulty had major influence on the evaluation and winning had positive effects on the self-efficacy of the children.
Conclusions: The investigated dental Serious Game was able to improve oral health- and oral hygiene related self-efficacy while being highly attractive to children. Serious Games may be cost-effective tools for oral prophylaxis in children. Further studies with quantitative designs examining clinical effects are needed.
Health Organizations Challenges in Health Data Governance Implementation: A Systematic Review (Preprint)
Authors: Oktaviana R Shinta , Handayani Putu wuri , Hidayanto Achmad Nizar
Published: August 2023

BACKGROUND

The Coronavirus disease-19 (COVID-19) pandemic has increased the need for reliable health data for monitoring and decision-making. Health data governance is needed to utilize the full potential of health data in processing data collection, sharing, and reuse. Although World Health Organization (WHO) proposes practical guidelines for managing health data to be adopted by countries in dealing with a pandemic, the Organization for Economic Cooperation and Development (OECD) found that many countries still lack the use of health data for decision-making.

OBJECTIVE

According to research articles, we identify health organizations' challenges in implementing health data governance from various counties. The challenges will be assessed based on the data governance component to determine the key challenges of adopting it. The components are built from a practitioner and scientist's perspective, such as stakeholder, policy, data management, data governance organization, data governance maturity assessment, and data governance goals.

METHODS

We are using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) as guidelines for collecting and reporting. We collected data from several databases online with large repositories of academic studies, including IEEE Xplore, ScienceDirect, National Library of Medicine, ProQuest, Taylor & Francis Group, Scopus, and Wiley Online libraries 41 papers were eligible to be reviewed.

RESULTS

This study found that policy has become the biggest challenge for health data governance. Data management is the second challenge, like data quality, ownership, and access. The next are stakeholders and data governance organizations. We did not find maturity assessment and data governance goals challenging because research on health data governance is still emerging and focuses on how to implement it.

CONCLUSIONS

Policies and policymaker awareness in health data governance are driving to implement it. Creating data quality management and data access committees as part of data governance organization become a solution for data management and data governance organization issues. The knowledge is useful for regulators and leaders in a healthcare organization to implement health data governance optimally.
Current Use and Discrepancies in the Adoption of Health-Related Internet of Things and Apps Among Working Women in Japan: Large-Scale, Internet-Based, Cross-Sectional Survey (Preprint)
Authors: Sasayama Kirio , Nishimura Etsuko , Yamaji Noyuri , Ota Erika , Tachimori Hisateru , Igarashi Ataru , Arata Naoko , Yoneoka Daisuke , Saito Eiko
Published: August 2023

BACKGROUND

Demographic changes and a low birth rate have led to a workforce shortage in Japan. To address this issue, the government has promoted engagement of female employment. However, increased female employment can impact women's health. Using Internet of Things (IoT) and apps to manage women's health has gained attention, but few studies have focused on working women.

OBJECTIVE

This study aimed to clarify the current situation of working women and their use of IoT or apps to manage their health.

METHODS

A large-scale, nationwide internet survey was conducted among 10,000 female participants aged from 20 years to 64 years in Japan. Participants were recruited from a marketing research company’s active survey panel of 5.24 million members. The survey included questions about health status, sociodemographic factors, psychological characteristics, and the use of IoT or apps for health management. We compared perceived health status and reasons for current IoT use using t tests and assessed participant characteristics that predicted IoT use using the C5.0 decision tree algorithm. Ethical approval was granted by St. Luke's International University.

RESULTS

Among participants, 14.6% (1455/10,000) currently used IoT or apps, 7% (695/10,000) used them previously, and 78.5% (7850/10,000) had never used them. Current users (42.7 years old) were older than past users (39.7 years old). Discrepancies were observed between participants’ perceived health problems and the purpose for using IoT or apps, with 21.3% (2130/10,000) of all women reporting they experienced menstrual symptoms or disorders but only 3.5% (347/10,000) used IoT or apps to manage the same symptom. On the other hand, current users were more likely to use IoT or apps to manage nutrition-related problems such as underweight or obesity (405/1455, 27.8%). Device use was highest among current users, with 87.3% (1270/1455) using smartphones, 19.7% (287/1455) using smartwatches, and 13.3% (194/1455) using PCs. Decision tree analysis identified 6 clusters, the largest consisting of 81.6% (5323/6523) of non-IoT users who did not exercise regularly, while pregnant women were more likely to use IoT or apps.

CONCLUSIONS

Our findings highlight the idea that woman with particular health problems (ie, menstrual symptoms or disorders and premenstrual syndrome) have lower use of IoT or apps, suggesting an unmet need for IoT and apps in specific areas.
Perceived and Morphological Preferences of Older Adults for Emotional Expression in a Child-like Characteristic Robot: Experimental Lab Study (Preprint)
Authors: Huang Zhaohui , Liu Shun , Zhu Chunxue , Fu Yan , Huang Xue
Published: August 2023

BACKGROUND

Elderly robots are used as an assistive tool to meet the needs of the elderly in their daily lives and provide care and other services while reducing the burden of healthcare. Robots with children's characteristics are able to generate more intimate interactions that affect users' emotional and psychological well-being, and users' perceptions and preferences for emotional expression of robots become key to enhancing the experience of using them.

OBJECTIVE

Under the smart elderly care service model oriented to the combination of medical and nursing care, we study the users' perceptual results and morphological preferences of the emotional expression of elderly companion robots in order to reduce the users' barriers to use and mistrust of the robots.

METHODS

Using literature analysis, we propose six design principles for the emotional expression of the child-like characteristics for the elderly companion robot CareBot, conducted statistical analysis of questionnaires through an experimental study of interaction with robots, and explored in depth the results of user evaluation of the robot through visualized data reports.

RESULTS

Participants were most able to identify three of these emotional expressions (enthusiastic, indifferent, and surprised), and participants' age and familiarity with children or smart products could have a significant effect on the assessment results. At the same time, the robot has a child-like feature form with big-eyed expressions, cute movements, and children's voices, which is more affinity to the elderly. The applicability and consistency of "expression" and "combination of expression and voice" in the principle of emotional expression is high.

CONCLUSIONS

Appropriate child-like characteristics can enhance the emotional expression ability of companion robots, and designs that increase positive and decrease negative emotional expression of robots can help improve the acceptance of elderly companion robots.
Modelo de gestión del cambio organizacional con pensamiento lean en servicios turísticos
Authors: Zambrano Cancañón Carlos Ernesto , Lao León Yosvani Orlando , Moreno Pino Maira Rosario
Published: August 2023

La necesidad de disminuir gastos en servicios turísticos y la no existencia de forma explícita en la literatura consultada de la integración del pensamiento lean como elemento facilitador en la gestión del cambio organizacional originan está investigación. El objetivo es desarrollar un modelo de gestión del cambio organizacional con pensamiento lean en servicios turísticos que contribuya al incremento del valor al cliente. A partir de una revisión de la literatura sobre la gestión de cambio organizacional y del pensamiento lean, se analizaron los componentes de ambas filosofías identificando sus similitudes y se aplican métodos teóricos, estadísticos y bibliométricos para relacionarlos. Los aportes del artículo se centran en la definición asumida de gestión del cambio organizacional con pensamiento lean y la representación gráfica del modelo de gestión de cambio organizacional con pensamiento lean en servicios turísticos, modelo a considerar para los cambios que impondrá la COVID-19 al turismo.
Optimización del pago del IVA a través de un modelo de riesgo probabilístico para la planeación financiera
Authors: Montoya José Arturo , García Cortez David Ernesto , Serrano Francisco Vargas
Published: August 2023

Las pequeñas y medianas empresas (PYMES) tienen una responsabilidad fiscal muy importante, por lo que resulta de especial interés administrar el flujo de efectivo para optimizar el pago del Impuesto al Valor Agregado. En este trabajo se propone un modelo de análisis de costo-riesgo para determinar el impacto de una estrategia de planeación fiscal que considera la intervención de una línea de crédito. Se busca tomar una decisión que logre una combinación óptima entre costos y beneficios esperados, considerando el riesgo asociado a la ocurrencia de falta de liquidez. La propuesta considera minimizar la función de impacto total, la cual se define como la suma de la función de costo y la función de riesgo. La propuesta metodológica se ilustra con datos reales de una empresa mayorista ferretera en Hermosillo, Sonora, México. Además, se llevó a cabo un estudio de simulación para mostrar la pertinencia de la propuesta.
Entrepreneurship and technological innovation: The micro-entrepreneur in Mexico
Authors: Ríos Manríquez Martha , Pérez Rendón Lizbeth , Del Río Rama María de la Cruz , Sánchez Fernández María Dolores
Published: August 2023

Entrepreneurship has gained importance in the field of research due to its ability to dynamize the economy. Knowing how technological expertise and access to financing influence business performance will enable micro-entrepreneurs to make decisions about technological training strategies within their company. Therefore, the aim of this investigation is to analyse and identify the influence between the Technological Training of Human Resources and awareness on the use of ICTs in business management on an ICT development level and access to finance, by micro-entrepreneurs of Celaya, Guanajuato, Mexico. The methodology is quantitative and transversal, with data collection taking place between 2016-2017 and the informants being the owners or partners of micro businesses located in the municipality of Celaya, Guanajuato, Mexico. Obtaining from a population of 24100 economic units according to the National Statistical Directory of Economic Units of INEGI, establishing a sample of 379 companies with a confidence level of 95% and 5% sample error, via simple random sampling. The share corresponds to 21.11% of the total sample, and it is a representative sample as entrepreneurs have low participation due to the insecurity in the region. A model based on quantitative indicators which have an influence on business performance of Mexican micro-entrepreneurs is proposed. Nine indicators are taken into consideration; three from the Business Performance variable: 1) Customer Retention, 2) Asset yield, 3) Return on equity, and five from the Technological Expertise of Micro-Enterprises: 4) Technological Preparation of Human Resources, 5) ICT access, 6) awareness of the use of ICTs, 7) Use of ICT in the administration of the company, 8) Level of ICT development, and one from access to financing 9) Financing for technological preparation of the company. Concluding that while micro-entrepreneurs are aware of the importance of ICTs in their businesses, Celaya's micro-enterprises have a low level of technological expertise.
Exploring The Forecasting Inflation in Kota Palu: An Application of the ARIMA Model
Authors: Mubarak Muhammad Syahrul
Published: August 2023

Inflation is an economic phenomenon that significantly impacts financial stability and the welfare of society. The movement of inflation in Kota Palu is challenging to explain using economic theories, as there are factors that are difficult to incorporate into models, such as the COVID-19 pandemic throughout 2020 to 2022, which impacted transportation, housing, and other services components. However, accurately predicting inflation rates remains a complex challenge. The objective of this study is to forecast the inflation movement for the year 2023. The data used in this analysis is the Consumer Price Index (CPI) of Kota Palu from January 2017 to March 2023, with 74 observations. ARIMA model with an Autoregressive (AR) model with lags six and nine was employed. The results of this study show that for the forecasted CPI or inflation from April 2023 to December 2023, the predicted CPI and inflation values closely approximate the actual CPI and inflation values. Therefore, the analysis can be considered accurate in predicting inflation movements.
enseñanza en el aula multigrado de preescolar rural a partir de estrategias pedagógicas basadas en inteligencia emocional
Authors: Sánchez-Celis Élver , Rodríguez Sierra Astrid Viviana , Castro Agracé María Del Pilar , Ordoñez Lasso Anyi Lorena , Hoyos Romero María Ligia
Published: August 2023

En este artículo se presentan los resultados de un proyecto de investigación realizado en el Municipio de San Agustín, Huila (Colombia), el cual tuvo por objetivo analizar estrategias pedagógicas basadas en inteligencia emocional para el fortalecimiento de aprendizajes en niños de preescolar en un aula multigrado. El estudio se desarrolló desde un enfoque cualitativo, no experimental, de tipo descriptivo, apoyado en el método inductivo, con diseño y aplicación de la técnica de revisión documental que permitió identificar estrategias pedagógicas basadas en inteligencia emocional, introducirlas en el aula y medir su impacto a través de un cuestionario aplicado a niños de preescolar rural en aula multigrado. En este contexto, se evidenció la importancia de la educación inicial, toda vez que constituye una oportunidad de acompañamiento integral, la cual genera aprendizajes prácticos y promueve dinámicas de reconocimiento, empatía, diálogo, resiliencia y asertividad para configurar un camino hacia la educación emocional. Así mismo, fue posible la aproximación a estrategias pertinentes para el desarrollo pedagógico desde el componente emocional.
Immunoglobulin Free Light Chains in Severe Asthma Patient: could they be a new biomarker?
Authors: Caruso Cristiano , Ciasca Gabriele , Baglivo * , Santo Riccardo Di , Gasbarrini Antonio , Firinu Davide , Bagnasco Diego , Passalacqua Giovanni , Schiappoli Michele , Caminati Marco , Canonica Giorgio Walter , Heffler Enrico , Crimi Claudia , Intravaia Rossella , V. Basile , Marino Mariapaola , colantuono stefania , Giacco Stefano R. Del
Published: August 2023

Background: Increasing evidence are available about the
presence of increased serum concentration of Immunoglobulin (Ig) Free
Light Chains (FLCs) in both atopic and non-atopic inflammatory diseases,
including severe asthma, providing a possible new biomarker of disease,
disease severity and also an alternative approach to the treatment.
Methods: We analyzed clinical and laboratory data, including
FLCs, obtained from a cohort of 79 asthmatic subjects, clinically
classified into different GINA steps. A control group of 40 age-matched
healthy donors (HD) was considered. Particularly, HD have been selected
according to the absence of monoclonal components (in order to exclude
paraproteinemias), were tested for total IgE (that were in the normal
ranges) and were negative for aeroallergens specific IgE. Moreover, no
abnormality of common inflammatory markers (i.e. erythrocyte
sedimentation rate, C-reactive protein) was detectable.
Results: FLC-k levels were significantly increased in the
asthmatic population, compared to the control group. Despite the absence
of statistically significant differences in FLC-λ levels, the
FLC-k/FLC-λ ratio displayed remarkable differences between the two
groups. A positive correlation between FLC-κ and FLC-λ levels was found.
FLC- λ level displayed a significant negative correlation with the FEV1
value. Moreover, the FLC-κ /FLC- λ ratio was negatively correlated with
the SNOT-22 score and a positive correlation was observed between FLCs
and Staphylococcus Aureus IgE enterotoxins sensitization.
Conclusions: Our findings confirmed the role of FLCs in asthma
as a potential biomarker in an inflammatory disease characterized by
different endotypes and phenotypes. In particular, FLC-κ and FLC-k/FLC-λ
ratio could be a qualitative indicator for asthma, while FLC-λ levels
could be a quantitative indicator for disease severity.
Comparative Efficacy of Transcranial Alternating and Direct Current Stimulation for Mild Cognitive Impairment in Alzheimer’s Disease: A Systematic Review
Authors: Lo David , Shamilov Don , Jackson Kyle , Maniar Pranay
Published: August 2023

lzheimer’s disease is a major cause of death among elderly patients and
is characterized by beta-amyloid plaques and neurofibrillary tangles.
The current treatment methods have been ineffective, but recent
advancements in transcranial current stimulation have shown positive
effects on memory and cognition in patients with mild cognitive
impairment (MCI) due to Alzheimer’s disease. Transcranial current
stimulation involves the application of electrical current at specific
frequencies to various brain regions, with two distinct types: direct
current stimulation (tDCS) and alternating current stimulation (tACS).
This paper aims to compare the effectiveness of tDCS and tACS in
treating MCI. A structured systematic review was conducted on 33
articles from various databases, which included randomized, placebo,
self-reported, motivational, comparative, and literature review studies
published within the last 10 years. Data analysis involved calculating
statistical significance and effect sizes (Cohen’s d) for specific
treatment modalities and outcome measures. The results highlight the
potential of both tACS and tDCS as non-invasive treatment options for
MCI in AD. Further research with larger sample sizes, standardized
protocols, and longer-term follow-ups is needed to establish a clear
superiority between the two techniques. Nonetheless, tACS and tDCS
interventions hold promise in improving the quality of life for
individuals with Alzheimer’s disease. While both interventions showed
promising results, the review suggests that tACS exhibits more favorable
outcomes in certain cognitive domains compared to tDCS. To establish a
clear superiority between tDCS and tACS, further research involving
larger sample sizes, standardized protocols, and longer-term follow-ups
is necessary.