bluuebunny/crossref_metadata_2025_split huggingface dataset:
Integral estimation of activity of entrepreneurial universities: practical aspect
Authors: Bayramova Gulshan 
Published: January 2022

Investigated problem. Implementation of the concept of an entrepreneurial university necessitates the formation of a system of activity indicators of educational institutions.
The main scientific results. It is specified that the activity of entrepreneurial universities and educational institutions that try to comply with this concept should be systematically rated. The author analyzes modern approaches to estimation of the activity of entrepreneurial universities. The own viewpoint to this evaluation on the basis of calculation of an integrated indicator is offered. The main stages of the algorithm for estimating the activity are described. An integrated activity indicator for five universities has been calculated. The ranking of educational institutions in accordance with the calculated desegregated measures and the concept of entrepreneurial university has been held. The results of the analysis showed that the studied educational institutions from the United States are more in line with the concept of the entrepreneurial university than European ones.
The area of practical use of the research results. The practical results of the study can be used in the process of estimating the activity of entrepreneurial universities.
Innovative technological product. The scientific approach to the evaluation of the activity of entrepreneurial universities proposed by the author allows to form their rating, to track the position of each educational institution in the dynamics.
Scope of application of the innovative technological product: educational policy at the micro- and macroeconomic levels.
Analysis of tendencies in the functioning of innovative entrepreneurship in the context of technological progress
Authors: Bayramov Eshgin 
Published: January 2022

The object of research is innovative entrepreneurship and the main tendencies in its operation in the world.
Investigated problem. The rapid development of innovative entrepreneurship necessitates are the identification and tracking of tendencies in this area.
The main scientific results. The article identifies tendencies in the functioning of entrepreneurship in the context of technological progress. The main subsystems of an innovative enterprise are characterized. The dynamics of frontier technologies market indicators in the context of innovative entrepreneurship is analyzed. It is noted that the transformation of the structure of the global market of advanced technologies is accompanied by increasing disparities in technological and financial development between countries. The inconsistency of national goals with global ones in the field of frontier technologies is pointed out.
The area of practical use of the research results. The results of the study can be used by representatives of the scientific community, authorities to understand global tendencies in innovative entrepreneurship.
Innovative technological product Identified global tendencies in the functioning of innovative entrepreneurship can be part of technological development strategies.
Scope of application of the innovative technological product: policy of regulation of innovation activity.
Effect of pop sorghum on the quality of gluten-free cereal bars
Authors: Aleksandrova Anhelina , Mykolenko Svitlana , Tymchak Dmytro , Aliieva Olha 
Published: January 2022

Subject of research: technology for the production of gluten-free cereal bars
Investigated problem: the development of gluten-free bars with an improved recipe composition, enriched with biologically valuable substances, in particular, for people suffering from gluten intolerance.
Main scientific results: Changes in the amino acid composition of sorghum grain due to microwave processing were determined. Formulations of cereal bars were developed using the following ingredients: bananas, dates, coconut flakes, buckwheat flakes, almonds, flax seeds, sorghum pop sorghum, vanilla sugar. The advantages of the biological value of pop sorghum as a promising ingredient in bars were revealed. The influence of the content of pop sorghum in the amount of 4, 6, 8 % in the recipe of cereal bars on their organoleptic and structural-mechanical properties was determined, the nutritional and energy value of the products was established. It was revealed that the introduction of pop sorghum into the composition of the recipe for cereal bars had a significant effect on the maximum load, deformation at maximum load and the coefficient of elasticity of bars. Practical recommendations on the recipe composition of gluten-free cereal bars for pop sorghum and technological modes of their production were developed.
The area of practical use of the research results: food enterprises for the production of snacks and functional products, in particular, food concentrate enterprises, restaurants, craft food production.
Innovative technological product: technology for the production of gluten-free cereal bars with the addition of pop sorghum
Scope of application of an innovative technological product: manufactures engaged in the production of functional food products with high nutritional value in a relatively small volume are an excellent source of energy, dietary fiber, vitamins, macro- and microelements for the human body, in particular, consumers suffer from gluten intolerance.
Non-Formal Education for MSMEs based on Business Financial Management Counseling
Authors: Santoso Aprih , Widowati Sri Yuni , Saefudin Saefudin 
Published: January 2022

Micro small business in Tegalarum village is one of the micro small business groups in Mranggen District, Demak Regency. The majority of these micro small business entrepreneurs do not have skills in the field of finance, especially cash flow statements (cash flow statements). Therefore, non-formal education activities are needed in the form of counseling aimed at providing non-formal education through an outreach approach to the preparation of cash flow reports so that these reports can be accounted for and accountable. ) which has been prepared by the Indonesian Institute of Accountants (IAI) as a standard compiler for cash flow reports, so that this report can later be accounted for and can be read by parties with an interest in the report. The activity method in the form of a participatory training approach is carried out through several activity steps, namely: counseling, training and monitoring and evaluation. As for the results of non-formal education activities through counseling that has been carried out, it is known that micro small business entrepreneurs in Tegalarum Village, Mranggen District, Demak Regency have been able to increase their knowledge and skills in making financial reports, especially cash flow reports.Usaha mikro kecil desa Tegalarum merupakan salah satu kelompok Usaha mikro kecil Kecamatan Mranggen Kabupaten Demak. Mayoritas pengusaha Usaha mikro kecil tersebut belum mempunyai skill dibidang finance khususnya cash flow statement (laporan arus kas). Oleh karena itu, dibutuhkan kegiatan pendidikan non formal berupa penyuluhan yang bertujuan memberikan pendidikan jon formal melalui pendekatan penyuluhan penyusunan laporan arus kas agar laporan tersebut dapat dipertanggungjawabkan dan akuntabel Dalam penyusunan laporan arus kas tersebut telah diatur dalam Pedoman Standar Arus kas kuntansi Keuangan (PSAK-45) yang telah disusun oleh Ikatan Akuntan Indonesia (IAI) sebagai penyusun standar laporan arus kas, agar laporan ini nantinya bisa dipertanggungjawabkan dan dapat dibaca oleh pihak-pihak yang berkepentingan terhadap laporan tersebut. Metode kegiatan dalam bentuk pendekatan participatory training dilakukan melalui beberapa langkah kegiatan. yaitu : penyuluhan, pelatihan dan monitoring serta evaluasi. Adapun hasil kegiatan pendidikan non formal mekalui penyuluhan yang telah dilaksanakan diketahui bahwa pengusaha Usaha mikro kecil desa Tegalarum Kecamatan Mranggen Kabupaten Demak sudah mampu meningkatkan pengetahuan dan ketrampilan dalam membuat laporan keuangan khususnya laporan arus kas.
Active blended learning management in music subject based on the hybrid learning framework for primary 4 students at Ban Nong Du School, Thawat Buri District, Roi Et Province
Authors: Kaewsrisai Kamonchanok 
Published: January 2022

The objectives of this research were 1) to develop an active blended learning management plan in Music subject based on the hybrid learning framework to be effective according to 80/80 criteria, 2) to compare the students' academic achievement between pretest and posttest periods, and 3) to study the satisfaction of students towards the active blended learning management in music subject based on the hybrid learning framework. The target group of this research was the 14 primary 4 students of Ban Nong Du School. Thawat Buri District, Roi Et Province in semester 1, academic year 2021, which was selected from purposive sampling. The research instruments were: 1) the index of conformity (IOC) of the music learning management plan according to the hybrid learning framework was 0.87. This showed that experts are of the opinion that an effective learning management plan can be implemented. 2) The achievement test was a 30-item, four-choice test. The test had a difficulty and power value classified between 0.41-0.60, which was appropriate and could be tested. 3) A questionnaire on the satisfaction of students towards active blended learning management in music subject based on the hybrid learning framework consisted of 15 items.
The effect of network convergence on digital culture industry: Model construction of network industrial economics and empirical study on China
Authors: Niu Panqiang , Masduki Anang , Li Xigen , Sukmono Filosa Gita 
Published: January 2022

This paper constructs the model of network economics to study the effect of different levels of network convergence on the digital culture industry. Then uses regression models and mediating effect models to test the effect mechanism of network convergence on the digital culture industry of China. This paper used panel data to conduct an empirical study. The data in this paper were quarterly. The time range was from the first quarter of 2009 to the third quarter of 2013 for 19 quarters.The three data types in econometrics are time series data, cross-sectional data, and panel data.The main conclusions are as follows. Network convergence brings positive policy effects and adverse capital effects. The impact of network convergence on firm performance of the digital culture industry is not statistically significant, and this effect also has no indirect effects on the test of mediating effect. However, network convergence indirectly leads to the reduction of operating costs of the digital culture industry. The indirect effect is brought by the chain mediating effect of policy effect and capital effect. The study could provide a reference for other countries and regions. Meanwhile, it can be used to analyze the impact of different media convergence on digital industries.
Coaching to Support Mental Health Apps: Exploratory Narrative Review
Authors: Meyer Ashley , Wisniewski Hannah , Torous John 
Published: January 2022

Background
The therapeutic alliance is crucial for the success of face-to-face therapies. Little is known about how coaching functions and fosters the therapeutic alliance in asynchronous treatment modalities such as smartphone apps.

Objective
The aim of this paper was to assess how coaching functions and fosters the therapeutic alliance in asynchronous treatment modalities.

Methods
We conducted a selected review to gather preliminary data about the role of coaching in mobile technology use for mental health care. We identified 26 trials using a 2019 review by Tønning et al and a 2021 scoping review by Tokgöz et al to assess how coaching is currently being used across different studies.

Results
Our results showed a high level of heterogeneity as studies used varying types of coaching methods but provided little information about coaching protocols and training. Coaching was feasible by clinicians and nonclinicians, scheduled and on demand, and across all technologies ranging from phone calls to social media.

Conclusions
Further research is required to better understand the effects of coaching in mobile mental health treatments, but examples offered from reviewed papers suggest several options to implement coaching today. Coaching based on replicable protocols that are verifiable for fidelity will enable the scaling of this model and a better exploration of the digital therapeutic alliance.
Telehealth Before and During the COVID-19 Pandemic: Analysis of Health Care Workers' Opinions
Authors: Nitiema Pascal 
Published: January 2022

Background
The COVID-19 pandemic and the lockdowns for controlling the spread of infection have led to a surge in telehealth adoption by many health care organizations. It is unclear how this pandemic has impacted health professionals’ view about telehealth. The analysis of textual data, such as comments posted on a discussion forum, can uncover information that may not be captured by a structured survey.

Objective
This study aims to examine the opinions of health care workers about telehealth services during the time frame of March 2013-December 2020.

Methods
Comments about telehealth posted by health care workers from at least 46 countries were collected from an online discussion forum dedicated to health professionals. The analysis included the computation of sentiment scores from the textual data and the use of structural topic modeling to identify the topics of discussions as well as the factors that may be associated with the prevalence of these topics.

Results
The analysis of the comments revealed positive opinions about the perceived benefits of telehealth services before and during the pandemic, especially the ability to reach patients who cannot come to the health facility for diverse reasons. However, opinions about these benefits were less positive during the pandemic compared to the prepandemic period. Specific issues raised during the pandemic included technical difficulties encountered during telehealth sessions and the inability to perform certain care routines through telehealth platforms. Although comments on the quality of care provided through telehealth were associated with a negative sentiment score overall, the average score was less negative during the pandemic compared to the prepandemic period, signaling a shift in opinion about the quality of telehealth services. In addition, the analysis uncovered obstacles to the adoption of telehealth, including the absence of adequate legal dispositions for telehealth services and issues regarding the payment of these services by health insurance organizations.

Conclusions
Enhancing the adoption of telehealth services beyond the pandemic requires addressing issues related to the quality of care, payment of services, and legal dispositions for delivering these services.
Technology-Mediated Enrichment in Aged Care: Survey and Interview Study
Authors: Waycott Jenny , Zhao Wei , Kelly Ryan M , Robertson Elena 
Published: January 2022

Background
Digital technologies such as virtual reality (VR), humanoid robots, and digital companion pets have the potential to provide social and emotional enrichment for people living in aged care. However, there is currently limited knowledge about how technologies are being used to provide enrichment, what benefits they provide, and what challenges arise when deploying these technologies in aged care settings.

Objective
This study aims to investigate how digital technologies are being used for social and emotional enrichment in the Australian aged care industry and identify the benefits and challenges of using technology for enrichment in aged care.

Methods
A web-based survey (N=20) was distributed among people working in the Australian aged care sector. The survey collected information about the types of technologies being deployed and their perceived value. The survey was followed by semistructured interviews (N=12) with aged care workers and technology developers to investigate their experiences of deploying technologies with older adults living in aged care. Survey data were analyzed using summary descriptive statistics and categorizing open-ended text responses. Interview data were analyzed using reflexive thematic analysis.

Results
The survey revealed that a range of commercial technologies, such as VR, tablet devices, and mobile phones, are being used in aged care to support social activities and provide entertainment. Respondents had differing views about the value of emerging technologies, such as VR, social robots, and robot pets, but were more united in their views about the value of videoconferencing. Interviews revealed 4 types of technology-mediated enrichment experiences: enhancing social engagement, virtually leaving the care home, reconnecting with personal interests, and providing entertainment and distraction. Our analysis identified 5 barriers: resource constraints, the need to select appropriate devices and apps, client challenges, limited staff and organizational support, and family resistance.

Conclusions
This study demonstrates that technologies can be used in aged care to create personally meaningful enrichment experiences for aged care clients. To maximize the effectiveness of technology-mediated enrichment, we argue that a person-centered care approach is crucial. Although enrichment experiences can be created using available technologies, they must be carefully selected and co-deployed with aged care clients. However, significant changes may be required within organizations to allow caregivers to facilitate individual technology-based activities for enrichment.
Predicting High Flow Nasal Cannula Failure in an Intensive Care Unit Using a Recurrent Neural Network With Transfer Learning and Input Data Perseveration: Retrospective Analysis
Authors: Pappy George , Aczon Melissa , Wetzel Randall , Ledbetter David 
Published: January 2022

Background
High flow nasal cannula (HFNC) provides noninvasive respiratory support for children who are critically ill who may tolerate it more readily than other noninvasive ventilation (NIV) techniques such as bilevel positive airway pressure and continuous positive airway pressure. Moreover, HFNC may preclude the need for mechanical ventilation (intubation). Nevertheless, NIV or intubation may ultimately be necessary for certain patients. Timely prediction of HFNC failure can provide an indication for increasing respiratory support.

Objective
The aim of this study is to develop and compare machine learning (ML) models to predict HFNC failure.

Methods
A retrospective study was conducted using the Virtual Pediatric Intensive Care Unit database of electronic medical records of patients admitted to a tertiary pediatric intensive care unit between January 2010 and February 2020. Patients aged <19 years, without apnea, and receiving HFNC treatment were included. A long short-term memory (LSTM) model using 517 variables (vital signs, laboratory data, and other clinical parameters) was trained to generate a continuous prediction of HFNC failure, defined as escalation to NIV or intubation within 24 hours of HFNC initiation. For comparison, 7 other models were trained: a logistic regression (LR) using the same 517 variables, another LR using only 14 variables, and 5 additional LSTM-based models using the same 517 variables as the first LSTM model and incorporating additional ML techniques (transfer learning, input perseveration, and ensembling). Performance was assessed using the area under the receiver operating characteristic (AUROC) curve at various times following HFNC initiation. The sensitivity, specificity, and positive and negative predictive values of predictions at 2 hours after HFNC initiation were also evaluated. These metrics were also computed for a cohort with primarily respiratory diagnoses.

Results
A total of 834 HFNC trials (455 [54.6%] training, 173 [20.7%] validation, and 206 [24.7%] test) met the inclusion criteria, of which 175 (21%; training: 103/455, 22.6%; validation: 30/173, 17.3%; test: 42/206, 20.4%) escalated to NIV or intubation. The LSTM models trained with transfer learning generally performed better than the LR models, with the best LSTM model achieving an AUROC of 0.78 versus 0.66 for the 14-variable LR and 0.71 for the 517-variable LR 2 hours after initiation. All models except for the 14-variable LR achieved higher AUROCs in the respiratory cohort than in the general intensive care unit population.

Conclusions
ML models trained using electronic medical record data were able to identify children at risk of HFNC failure within 24 hours of initiation. LSTM models that incorporated transfer learning, input data perseveration, and ensembling showed improved performance compared with the LR and standard LSTM models.
Researching the Links Between Smartphone Behavior and Adolescent Well-being With the FUTURE-WP4 (Modeling the Future: Understanding the Impact of Technology on Adolescent’s Well-being Work Package 4) Project: Protocol for an Ecological Momentary Assessment Study
Authors: Elavsky Steriani , Blahošová Jana , Lebedíková Michaela , Tkaczyk Michał , Tancos Martin , Plhák Jaromír , Sotolář Ondřej , Smahel David 
Published: January 2022

BackgroundSmartphone ownership has increased among teens within the last decade, with up to 89% of adolescents owning a smartphone and engaging daily with the online world through it. Although the results of recent meta-analyses suggest that engaging digital technology plays only a small role in adolescent well-being, parents, professionals, and policymakers remain concerned about the impact that the instant connectivity of smartphones has on adolescent well-being.ObjectiveHerein, we introduce the protocol of a research study investigating the associations between adolescent smartphone use and different facets of well-being (social, physical, and psychological), with the aim to apply innovative methods to address the limitations of existing empirical studies.MethodsThis 12-month prospective study of adolescents uses a repeated measurement-burst design with the ecological momentary assessment methodology. Adolescents (N=203; age range 13-17 years) complete baseline assessments through online questionnaires, four 14-day intensive data collection bursts, and an online questionnaire at the end of the study. As part of the 4 measurement bursts, adolescent smartphone behavior is assessed objectively by passive data collection of smartphone data logs and through self-reports in short questionnaires administered via a custom-built Android app.ResultsThe protocol describes the study objectives, research tools (including the development of the Android app and specialized software), and process (including pilot studies, the main study, and targets for machine learning approaches). Two of the 203 enrolled participants provided no data during the first data collection burst of the main study. Preliminary analyses of the data from the first data collection burst indicated an acceptable level of compliance (72.25%) with the daily questionnaires. The design of the study will allow for the assessment of both within- and between-person variabilities in smartphone behavior, as well as short-term variation and long-term change in smartphone behavior and how it impacts the indicators of social, physical, and psychological well-being.ConclusionsThe innovative methods applied in this study (objective smartphone logs, ecological momentary assessment, and machine learning) will allow for a more nuanced assessment of the links between smartphone use and well-being, informing strategies to help adolescents navigate the online world more constructively in terms of the development of their physical, social, and psychological well-being.International Registered Report Identifier (IRRID)DERR1-10.2196/35984