Collection Of Information Research Articles

Drivers of business model innovation in family firms: A dataset analysis.

In recent years, both in the world of research and consulting, the concept of innovation in the business model has been gaining a lot of interest. As a result, an incipient number of scientific and popular publications are being generated, which try to delimit and explain this term, as well as work methodologies for its application in the business world. The family business field can benefit from the application of this approach. But, at the same time, it can also serve as an object of study since its special idiosyncrasy will allow to deepen the analysis of successful business models. To illustrate innovation in business models, data from 112 family firms representative of the regional economy are presented. The companies are also associated with the Murcian Association of Family Businesses (Amefmur). The collaboration with this organization has made it possible to obtain very valuable and representative information thanks to the support provided. The collection of information was carried out through an electronic survey. These data could be especially useful for establishing business recommendations for this type of companies and for analyzing other possible interrelationships of the variables available in the database.

Narratives of postpartum women about childbirth care practices

The objective of this article was to investigate the narratives of postpartum women about childbirth care practices. This is narrative research with a qualitative approach, whose setting was the municipality of Sobral, Ceará, in a reference maternity hospital for the 11th health region. Information collection took place in the months of November and December 2023, with 14 postpartum women. The research was approved by the Research Ethics Committee, with opinion no. 6,478,196. Thus, it can be seen that the majority of women had positive perceptions regarding the obstetric care provided by the institution: presence of a companion, satisfaction with the health team, normal birth without medical interventions, recognition of normal birth as the best birth. Thus, it is concluded that the quality of the service at the unit presented as the stage for the interviews shows dynamic access, assistance aimed at care with information and conduct and the encouragement of safe practices for maternal and child health.

The joint operation of five career indecision factors: A longitudinal examination

AbstractWhile extensive research has explored the taxonomy of career indecision, a longitudinal examination of the joint operation of major indecision factors is lacking. Tracking a sample of US college students (n = 261) over three time points, the current study examined a mediation model involving lack of readiness, neuroticism/negative affectivity, interpersonal conflicts, need for information, and choice/commitment anxiety. The results showed that need for information mediated the positive predictions of lack of readiness and interpersonal conflicts for subsequent choice/commitment anxiety. However, neuroticism/negative affectivity did not predict need for information while controlling for lack of readiness and interpersonal conflicts. Therefore, the current study suggests that motivational and interpersonal barriers could undermine readiness for committing to a career direction because these barriers could impede information collection. The theoretical and practical implications of this study are deliberated along with its limitations and recommendations for future studies.

Digitalization Breeds Technocentric to Dehumanise Behavior in the Classroom and Dragged into the Arts

This article aims to reveal the impact of the digitalization phenomenon dominating the classroom. Interestingly, the phenomenon needs to be explored more deeply so that each individual can see the impact of today's digitalization. The method used in exploring the phenomenon is library research, while the collection of information and data is done by reviewing and/or exploring many journals and other sources that are considered relevant to the topic of this article. The results of the study obtained are: 1) The power of digitalization that has dominated the classroom nourishes technocentric behavior where technocentrism adherents assume that everything in this world can be overcome by technology; 2) technocentrism that is in power turns the attention of 21st-century educators, instead of focusing on meeting the needs of students, educators are busy showing off the sophistication of technology in the classroom in the learning process. Educators glorify the use of technology in all forms of learning practices, which makes educators complacent and forget that these actions help drag students into the abyss of technocentrism, which ultimately worsens the social skills of each learner because they are accustomed to sitting, being silent, and only interacting with inanimate objects; 3) Not only educators, technocentrism also permeates learners. The inherent behavior makes learners more individualistic and selfish. This attitude is shown by minimal interaction, little direct communication, difficulty adapting, loners, and feeling that everything can be solved by themselves. As a result of this phenomenon, it leads to less concern for the surrounding environment, weakens empathy, and nourishes dehumanizing behavior in each individual. 4) Not only that, technocentrism also drags down the field of art. Artistic activities such as exhibitions are conducted virtually. Unfortunately, this has decreased the quality and satisfaction of the audience. In terms of quantity, there are indeed many visitors, but not the quality of the exhibition itself.

Strategi Pembelajaran Inovatif: Modul IPA berorientasi PBL untuk meningkatkan prestasi siswa di SD Muhammadiyah Inovatif Mertoyudan

Background: Schools currently need more interactive and effective learning methods to improve student learning outcomes. Problem Based Learning (PBL) was chosen as an approach because this method encourages students to think critically and solve problems, which is expected to improve their understanding and learning outcomes. Purpose: The aim of this research is to improve student learning outcomes through module development and to determine the feasibility and effectiveness of using the module. Method: This study uses the R & D (Research & Development) approach. The development includes an initial trial of 3 validators, that are field trials are limited to 15 students and 2 teachers and the operational field trialas many as 23 students. The nstruments that used are questionnaire, observation, interview, and test. The operational field trial uses the design of one group pre-test and post-test. The learning outcomes data with a paired t-test sample are used to determine the differences in learning outcomes while the increase in learning outcomes is calculated through normalized n-gain. Findings: Based on the results of the study, it can be concluded as follows: 1) the science module oriented Problem Based Learning (PBL) on the material nature of objects to improve student learning outcomes refers to Borg & Gall which is modified into nine stages namely research and information collection, planning, initial product design, initial trials, initial product revisions, limited field trials, second product revisions, operational field trials, third product revisions. 2) The feasibility modules oriented on PBL is based on the assessment of material experts, learning experts, media experts, practitioners of education in general obtain very good classification. 3) Development science modules oriented on PBL in material properties of objects can improve student learning outcomes indicated by an average increase of 0.54 calculated through n-gain.

La evolución prospectiva de las redes sociales desde la perspectiva de la neurofenomenología

The purpose of the present article is to identify neurophenomenological aspects that influence the future development of social networks and to develop a corresponding concept of regulatory policy. The following methods are used in the article: collection and analysis of information, modeling of a conditional social network, systematization and separation of neurophenomenological factors, determination of functional dependencies, development of analytical conclusions and proposals. It was established that instigators and a favorable environment of social networks form prerequisites for the spread of negative information campaigns (conditional attacks). At the same time, it is mathematically proven that with minimal development of resistance to information attacks among users of social media platforms, the potential for stabilizing the information environment of social networks and promoting sustainable advancement of natural society was determined. Based on the research results, it was determined that fostering critical thinking skills, maintaining information stability, and practicing sound personal digital hygiene among users are key factors in upholding the overall stability of social networks. Additionally, these practices promote sustainable development of a psychologically healthy community. Additional investigations are focused on elaborating the notion of regulatory policy to facilitate the prospective advancement of social networks.

Perception of University Students on The Use of Artificial Intelligence (AI) Tools For The Development of Autonomous Learning

Objective: To explore the perception of university students on the use of Artificial Intelligence (AI) tools for the development of autonomous learning. Theoretical Framework: The research is based on Technological Acceptance Theory and Constructivism, focusing on the perception of AI in autonomous learning of university students. Method: Quantitative approach with a descriptive scope, the sample consisted of 665 students enrolled in the Faculty of Education Sciences and Languages (FCEI) of the Peninsula de Santa Elena State University (UPSE)-Ecuador; in the collection of information, the Questionnaire of Perception on the Use of Artificial Intelligence for Autonomous Learning was designed based on 4 dimensions of both variables, and the statistical program SPSS version 29 was used for data processing. Results and Discussion: The results indicate that students show a favorable perception towards the use of AI tools for the autonomous learning process, however, although AI is recognized as a potential tool in university environments, there are still challenges to be overcome. Research Implications: The study has practical implications for strengthening in students the digital competencies needed to effectively use AI tools in their autonomous learning. Originality/Value: The research provides data on the perception of AI tools among university students, offering a starting point for future technology integration strategies in universities.

A Comprehensive Review on Circulating cfRNA in Plasma: Implications for Disease Diagnosis and Beyond.

Circulating cfRNA in plasma has emerged as a fascinating area of research with potential applications in disease diagnosis, monitoring, and personalized medicine. Circulating RNA sequencing technology allows for the non-invasive collection of important information about the expression of target genes, eliminating the need for biopsies. This comprehensive review aims to provide a detailed overview of the current knowledge and advancements in the study of plasma cfRNA, focusing on its diverse landscape and biological functions, detection methods, its diagnostic and prognostic potential in various diseases, challenges, and future perspectives.

Special economic zone efficiency factors given Russia's circumstances

Subject. This article discusses the importance of special economic zones in solving problems related to attracting investors, supporting regions of concern, and creating regional growth poles. Objectives. The article aims to consider the impact of economic and geographical location, characteristics of the region of base, the investment policy implementation quality, and the level of tax burden on the efficiency of Russian special economic zones. Methods. For the study, we used the Data Envelopment Analysis (DEA) technique, and a regression analysis. Results. The article presents the results of the analysis of the effectiveness of budget investments in the infrastructure of various special economic zones in Russia. Conclusions. The quality of the implementation of the regional investment policy has the most significant impact on the success of the development of special economic zones. Improving the methodology for assessing the effectiveness of special economic zones requires the collection and use of information on the results of scientific, technical and innovative activities of residents, taking into account the practices of the Ministry of Science and Technology of China.

Framework for the Generation of 3D Fiber Composite Structures from 2D Observations

AbstractSynthetic generation of realistic materials for testing of process–structure–property (PSP) relationships in computational materials science has gained significant traction over the past two decades. Generation tools continue to lag in some aspects of realism, leading to uncertainty and errors in simulating material response. The experimental collection of information to guide generation of 3D synthetic structures remains costly, time consuming, and challenging. These challenges are compounded by limitations of stereology, which permits estimation of 3D microstructural statistics from 2D observations under restrictive assumptions on constituent morphologies and size distributions and can be difficult to apply to microstructure metrics like constituent orientation distribution and clustering. This work seeks to overcome these challenges by introducing a framework for learning probable 3D microstructure statistics by minimizing the loss determined by matching statistics obtained from 2D observations via synthetic microstructure generation software (e.g. Dream.3D) and stereological principles. This framework is applied to short carbon fiber composite structures printed from an additive manufacturing process, Direct Ink Writing, with the hope that the framework could generalize to other particulate structures as well as allow for simulation and design of materials structure.

Power-Carbon Information Management System Based on Machine Learning

With the deepening reform of the power market and carbon market, great progress has been made in informatization. Power information may be stored in many scattered places, and it is difficult to share data between different departments or systems. This leads to fragmentation and redundancy of information and makes information exchange difficult. Blockchain can improve the reliability of Power-Carbon Management System (briefly described as PCMS for convenience) data processing. PCMS informatization has become the basis for improving the quality and efficiency of project management and maximizing the environmental and economic benefits of the project. Because the power information management system can effectively control the flow of information and resource allocation. Due to the requirement of low-carbon and stable power production, PCMS attaches great importance to the application and implementation of information in power management, but does not attach enough importance to the informatization of power production management. Therefore, this paper analyzed the current situation, characteristics and existing problems of PCMS through machine learning algorithm, then constructed the design principles, and finally proposed the optimization path of PCMS according to the principles. The information collection ability and system control ability of the optimized PCMS were better than the original PCMS. The information collection ability was 14.2% higher than the original, and the system control ability was 9.8% higher than the original. In general, both blockchain and machine learning can improve the data reliability of PCMS.

Web-Based Community Data Collection Information System at the Central Statistics Agency of Sragen Regency

The community data collection information system is a technological solution designed to efficiently collect, manage, and analyze information from various layers of the community. The main objective of this system is to support data-driven decision-making by facilitating the collection of accurate, fast, and measurable information. The limitation of manual community data collection at the Central Statistics Agency (Badan Pusat Statistik) in Sragen Regency has led to data damage, loss of data, and ambiguity in data due to the information being written on questionnaire papers using pencils. Due to the abundance of population data that needs to be stored and to support the performance of officers, there is a need for a computerized web-based system as a tool for officers to carry out their activities. The aim of this research is to design a Web-Based Community Data Collection Information System at the Central Statistics Agency in Sragen Regency. The researcher uses the Waterfall method in the system development process and the PHP programming language, along with the MySQL database. The system designed by the researcher is expected to produce an application that can accommodate all community data accessible via the web by administrators and field officers at the Central Statistics Agency in Sragen Regency.

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Remote sensing estimation of δ15NPN in the Zhanjiang Bay using Sentinel-3 OLCI data based on machine learning algorithm

Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults

Despite the plethora of telehealth applications to assist home-based older adults and healthcare providers, basic messaging and phone calls are still the most common communication methods, which suffer from limited availability, information loss, and process inefficiencies. One promising solution to facilitate patient-provider communication is to leverage large language models (LLMs) with their powerful natural conversation and summarization capability. However, there is a limited understanding of LLMs' role during the communication. We first conducted two interview studies with both older adults (N=10) and healthcare providers (N=9) to understand their needs and opportunities for LLMs in patient-provider asynchronous communication. Based on the insights, we built an LLM-powered communication system, Talk2Care, and designed interactive components for both groups: (1) For older adults, we leveraged the convenience and accessibility of voice assistants (VAs) and built an LLM-powered conversational interface for effective information collection. (2) For health providers, we built an LLM-based dashboard to summarize and present important health information based on older adults' conversations with the VA. We further conducted two user studies with older adults and providers to evaluate the usability of the system. The results showed that Talk2Care could facilitate the communication process, enrich the health information collected from older adults, and considerably save providers' efforts and time. We envision our work as an initial exploration of LLMs' capability in the intersection of healthcare and interpersonal communication.

A Comprehensive Understanding of Thermal Barrier Coatings (TBCs): Applications, Materials, Coating Design and Failure Mechanisms

This review offers a comprehensive analysis of thermal barrier coatings (TBCs) applied to metallic materials. By reviewing the recent literature, this paper reports on a collection of technical information, involving the structure and role of TBCs, various materials and coating processes, as well as the mechanisms involved in the durability and failure of TBCs. Although TBCs have been successfully utilized in advanced applications for nearly five decades, they continue to be a subject of keen interest and ongoing study in the world of materials science, with overviews of the field’s evolution remaining ever relevant. Thus, this paper outlines the current requirements of the main application areas of TBCs (aerospace, power generation and the automotive and naval industries) and the properties and resistance to thermal, mechanical and chemical stress of the different types of materials used, such as zirconates, niobates, tantalates or mullite. Additionally, recent approaches in the literature, such as high-entropy coatings and multilayer coatings, are presented and discussed. By analyzing the failure processes of TBCs, issues related to delamination, spallation, erosion and oxidation are revealed. Integrating TBCs with the latest generations of superalloys, as well as examining heat transfer mechanisms, could represent key areas for in-depth study.

TURKIC SOURCES ABOUT THE PROTECTORATE OF THE OTTOMAN EMPIRE IN KASHGARIA (SECOND HALF OF THE 19TH CENTURY)

The article, based on information from the works of East Turkestan historians, examines the relationship of the Ottoman Empire with the state of Yakup Beg, which arose in Kashgaria in the second half of the 19th century. The purpose of the study is to conduct an in-depth study and conduct a source study, textual analysis of information from East Turkistan historians, which contain important and valuable information about the connections of the Ottoman Empire with Kashgaria and its neighbouring regions of Central Asia (Kazakhstan, Uzbekistan, Kyrgyzstan, etc.). The study is based on conclusions formed during a comparative analysis of information from Turkic written sources with archival materials and data from unique scientific literature. In the course of preparing the article, to determine the completeness and reliability of the information provided, comparative-contrastive, comparative-historical and problem-chronological methods, methods of analysis, collection, and synthesis of information were also used. This technique was used to compare essential documents on the records management of the Ottoman and Russian Empires of the period under study, stored in the archives and funds of various countries, with information from local East Turkestan historians. It should be noted that relations between the two states developed in the context of the “Great Game” policy of the great powers towards Central Asia. The works of local East Turkestan historians provide extensive information on events related to the relationship between the Zhetyshar state (the state of Yakup-bek) and the Ottoman Sultanate. The authors describe these events with tremendous verve and enthusiasm. The unity of the Turkic-speaking peoples, who for centuries nourished each other with great faith and hope, is reflected in the works of historians.

Identifying Deficiencies in Children's Residential Care in Finland: Inspectors' Views on Working With Information

ABSTRACTAbusive and illegal practices in residential care are a recognised issue in child welfare internationally; thus, the question of how these institutions are supervised is important. However, children's residential care is complex by nature, making its supervision a challenging task. This article examines residential care supervision by looking at the ‘knowledge work’ that two central legality supervisors in Finland—the Parliamentary Ombudsman and Regional State Administrative Agencies—conduct when inspecting children's residential homes. Here, ‘knowledge work’ refers to the process of working with information to identify deficiencies in care. Eleven interviews and 16 inspection reports are analysed with a focus on the nature of the information that these supervisors gather when inspecting residential units and how they evaluate the significance and reliability of the information. The results show that to complete their institutional task, the inspectors gather information from various sources, including documents and interviews with children. The significance of the information is then assessed by comparing it with legislation and the supervisory mandate, and its reliability is verified by considering the diverse information sources as a whole collection of information. The results suggest that how well ‘knowledge work’ is conducted highly affects the impact of supervision.

Contrast between Brazil and other countries in nutraceutical components of Camelina sativa grains

Camelina sativa, also known as false flax, is a species can be cultivated in a variety of climates, seasons and soil types, due to its short development cycle and tolerance to drought and low temperatures. In the composition of its grains, it presents a high amount of oil and rich in unsaturated fatty acids. In view of this, the objective of this work was to compare the composition of the nutraceutical components of Camelina sativa L. grains cultivated in Brazil and countries in Europe, Asia and North America. About 20 kg of grains were collected and then a homogeneous sample of 1kg of grains was cleaned to perform the centesimal composition of the grains. Afterwards, a search for information was carried out on the cultivation of Camelina sativa L. in other countries and the collection of information on the centesimal composition of the grains of this oleaginous plant. The collection of information was based on obtaining published scientific articles on the nutraceutical composition of Camelina sativa in regions of Europe, Asia and North America. Brazil presents a promising environment for the cultivation of Camelina sativa, with superior performance for the content of stearic acid, linoleic acid, linolenic acid and palmitic acid. The fatty acids profile decreased with the reduction of the minimum air temperature. The mineral material, palmitic acid and linolenic acid are positively correlated.

Multiscale Transfer Printing via Shape Memory Polymer with High Adhesion and Modulus Switchability.

Flexible electronics have gained significant attention as an innovative solution to meet the growing need for information collection from the human body and the environment. However, a critical challenge lies in the need for a transfer printing technique that can fabricate rigid and brittle devices on flexible organic substrates. Here, we develop a multiscale transfer printing technique using an ultraviolet-curable shape memory polymer (SMP) that serves as both the stamp and the receiver substrate. The SMP demonstrates exceptional mechanical performance with toughness at room temperature and remarkable flexibility near its glass transition temperature. The SMP material exhibits an impressive shape recovery ratio and remarkable adhesion switchability. We demonstrate robust transfer printing of diverse objects with different materials and morphologies and in situ transfer of multiscale metallic structures. In addition, the in situ fabricated transparent hyperthermia patches with embedded metal grids are demonstrated, offering potential application in the field of sensors, wearable devices, and electronic skin.

АНАЛИЗ КАЧЕСТВА ВЕДЕНИЯ МЕДИЦИНСКОЙ ДОКУМЕНТАЦИИ ПРИ ОЦЕНКЕ ДЕЯТЕЛЬНОСТИ СТОМАТОЛОГИЧЕСКОЙ КЛИНИКИ

One of the criteria for assessing the quality of medical care is the complete maintenance of medical records. Defects in the preparation of medical documents lead to serious errors, such as incorrect diagnosis, unreasonable choice of diagnostic methods and treatment. To clarify the causes of their occurrence and adverse consequences, the study and analysis of medical records in dental organizations is of no small importance. Properly completed medical documentation serves as the basis for conducting forensic investigations within the framework of a criminal case in case of defects in the provision of medical dental care. The outpatient card of a dental patient is the object of quality control of medical care in dental organizations in the event of conflict situations. Purpose of the study: To analyze the quality control and safety of medical activities and the examination of the quality of medical dental care carried out in the dental clinic of the Military Medical Academy named after. CM. Kirov. Material and methods. During the study, analytical and statistical methods were used. The collection of primary information was carried out on the basis of data from primary medical documentation - 1067 outpatient records of dental patients. Results and condemnation. A statistically significant influence of a doctor’s work experience on the completeness of providing information about patients’ complaints was revealed. Doctors with less experience provide more complete descriptions of patient complaints. Among all complaints, aesthetic ones were most often described; complaints of a morphological and functional nature were noted quite rarely. In the cards of form No. 043/u, in 46.67% there was no information about the bite, the hygiene index was not determined, treatment plans and visit diaries were not filled out correctly. Conclusions. Internal quality assessment helps to detect defects in filling out dental patient outpatient records. The importance of adequate medical record keeping is beyond doubt; the form of the medical record must meet the needs of dentists and contain information that complies with the legal and regulatory framework.