Technical University of Moldova Press
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Quality assurance in higher education institutions through the risk management integration
Recently, universities are under increasing public and government pressure to demonstrate the implementation of quality processes. In the present study we analyze what represents the concept of quality in higher education, how we differentiate the services offered by universities in terms of quality, what is the role of risk management in quality assurance. Several researches provided by various scientific sources, international standards in the field of quality, the experience of some foreign universities regarding the implementation of risk management are analyzed. The experience of the public institution, the Academy of Economic Studies from Moldova, was also presented, although not very extensive in the analyzed field. The conclusions we reached relate to the need to promote an effective communication in the field of quality assurance and risk management at the institutional level, the implementation of a risk culture at the institution level. Only in such conditions, the efforts made by the management of the institution can bring the expected results
Legal Protection for Adopted Children in Indonesia Through Court Determination
Anyone can adopt a child. In Indonesia this can be done if the child to be taken meets the requirements, this of course must be in accordance with applicable laws. However, legal protection in child adoption varies in each region according to customary law that applies in an area. The purpose of this study is to analyze whether a court order can provide legal protection for adopted children. This research is normative legal research with legal data. The results of the study show that the child adoption procedure in Indonesia actually fulfills the principle of legal certainty in accordance with Indonesian law. Laws on adoption include the Law of the Republic of Indonesia No. 23 of 2002, Law of the Republic of Indonesia No.23 of 2006, and Government Regulation Number 54 of 2007
RESEARCH ON SCHOOL ATTENDANCE AND DROPOUT: SYNTHESIS OF THE SCIENTIFIC LITERATURE
Dropping out of school remains a complex and multidimensional phenomenon because of the multitude of factors involved in its study. The purpose of this paper is to provide an overview of the various factors that may be involved in the study of school dropout (focus on African context). The definitions of this concept vary from one country to another in view of these realities. In addition, the factors listed have been divided into three main dimensions, starting with individual factors, i.e., those specific to the child, and family factors, which correspond to the child's family environment and the role of parents in the child's schooling. And finally, factors specific to the school environment (teacher-principal relations, principal's leadership, infrastructure, etc.). The indicators of dropout can be grouped into six points: lack of investment in learning, negative representation of the school, academic arrhythmia, learning difficulties, and poor academic performance, and refusal of school status outside of school
STREAMLINING ORGANIZATIONAL MANAGEABILITY THROUGH SCALABLE DECISION MAKING
In modern organizations, decision-making processes are critical to effectively managing business operations. However, as organizations grow more complex, decision-making becomes more challenging and time-consuming, leading to a lack of agility, bottlenecks and decreased productivity. One of the assumptions in the article is that excessive complexity and uncontrolled secrecy in organizations lead to lack of understanding of how they work. This can be detrimental to decision-making processes, resulting in misinterpretations of data, misunderstandings of organizational objectives and ultimately, poor decision-making and results. These factors can create a wall of ignorance and irresponsibility within organizations. To address this issue, we propose the hypothesis that simplifying decision-making processes and making them more scalable and this will increase employee involvement and trust in the organization. Implementing scalable decision-making processes can create a framework for making consistent decisions across teams and departments, streamline the decision-making process, encourage critical thinking and enable the organization to respond more quickly and rationally to changing market conditions. The conclusion of the article is that applying scalable decision-making in organization can unlock new levels of manageability, improving the ability to make complex decisions and navigate dynamic situations. This model may be applicable to transportation and logistics companies, production units and plants and construction and manufacturing industries seeking to improve their performance and competitiveness in today's fast-paced business environment
BUILDING THE MUSEUM CULTURE OF STUDENTS AND PUPILS THROUGH MUSEUM EXHIBITIONS IN THE INFORMATION TECHNOLOGIES ERA
Museum exhibitions are of major importance in the formation of museum culture of students and high school students, providing unique opportunities for research, learning and exploration of various cultural, historical, scientific and artistic fields. The study carried out elucidates an experimental scientific research focused on the valorization of museum exhibitions in the formation of museum culture (FMC) of students and high school students by exploring information technologies. The purpose of this research is to conceptualize the FMC of students and high school students through the elaboration of the praxeology of the targeted process in an age of information technologies. Research hypothesis: FMC of students and high school students through the museum exhibition, will be possible by determining, revealing and validating the theoretical-applicative foundations of the given process. Theoretical methods were used: analysis, synthesis, comparison and interpretation of the obtained results and practical methods: questioning, observation, pedagogical experiment, etc. Discussing and verifying the obtained results we identified, that the activities carried out during the training stage generated a positive impact on the FMC of students and high school students reflected in the change of attitudes, behaviors and value contents. The research allowed us to find that the museum exhibition can become an effective strategy for the culturalization of students and high school students on the three essential dimensions: institutional, professional, social, ensuring the promotion of national and universal values in the context of lifelong learning/permanent education
QUALITY OF LIFE OF CHILDREN IN CARE INSTITUTIONS IN KINSHASA AND ITS DETERMINANTS
The aim of this research was to assess the quality of life of children placed in foster care institutions in Kinshasa, and to identify its socio-demographic determinants. It also aimed to indirectly assess the effectiveness of comprehensive care for children placed in these institutions. Against this backdrop, the McGill Quality of Life Scale was administered to a sample of 210 children placed in five care institutions in Kinshasa. The results of the study showed that the children in care had a good general, psychological, physical, existential and social quality of life. Four socio-demographic variables had a decisive influence on the quality of life of these children. These were gender, length of stay at the center, age and type of deceased parent
CHALLENGES FACING YEMEN REFUGEE WOMEN IN ADDIS ABABA, ETHIOPIA
Forced migration is associated with several challenges. The challenges that refugee women faced in their host countries were numerous. There has been a gender bias in Ethiopian literature on refugees. Refugees are homogenized in the existing studies. The gender differences among refugees have an impact on the challenges of forced migration that they encounter and how they handle them. Moreover, no study has been done on the adaptation challenges faced by Yemeni refugee women in Addis Ababa. This study's main objective was to examine the challenges that Yemeni refugee women faced in Addis Ababa. An interpretative phenomenological analysis was employed to achieve that objective. Thirteen Yemeni refugee women were interviewed using a semi-structured interview guide to understand their experiences. Purposive sampling was used to choose study participants. The data was analyzed using interpretive phenomenological analysis procedures. The study's findings revealed that refugee women encountered several challenges that were detrimental to their well-being, including language difficulties, limited income and job opportunities, unrecognized identity papers and price increases, and housing problems. Furthermore, refugee women faced social isolation and sexual harassment. The study concluded that the challenges that Yemeni refugee women faced in Addis Ababa had an enormous impact on their well-being, which demands immediate intervention
Impactul ambalajelor cu atmosferă modificată asupra concentrației de CO2 și O2 în perioada post-recoltare la două soiuri de cireșe
Sweet cherry fruits are considered to be highly perishable, with a short shelf life and very often cannot reach the final consumer at optimum quality after a longer period of transportation. In this research, four types of modified atmosphere packages were studied related to gas concentration dynamics during the post-harvest period to maintain fruit quality in Kordia and Regina varieties grafted on Gisela 5 rootstock. To determine the effectiveness of modified atmosphere packaging in contrast to normal atmosphere the following experiment was carried out: V1 - normal atmosphere (control); V2 - Trendlife; V3 - Decco; V4 - ESL; V5 - Xtend. Sweet cherries were stored for 42 days at the temperature of -0.5°C. At intervals of 0; 2; 4; 5 and 6 weeks after storage, the CO2 and O2 concentrations were determined using the gas analyzer for CO2 and O2 (Gas Analyzer Avi-Gas, TEXA, Poland). The results were compared to the control variant. Modified atmosphere packages had a positive effect on CO2 and O2 concentrations during storage. The concentration of carbon dioxide increased significantly and the concentration of oxygen decreased, which created favourable conditions for extending the storage life of sweet cherries. The most rational CO2 and O2 concentrations were in the variants where sweet cherries were stored in Decco and Xtend packages
New approaches to missing biomedical data recovery for machine learning
Missing data is a common problem for medical data sets, especially large ones. This issue is of major importance since it can influence the analysis and further use of the data, e.g., for machine learning purposes. There are various methods for recovering missing data.One such method is to remove observations with missing values, but this is not very usefulgiven the limited amount of data available. Another commonly used approach is the LastObservation Carried Forward (LOCF). But most such methods are not universal and may needadjustments to the data set at hand. This article describes the possibility of solving thisproblem in the case of multimodal time series of biomedical data coming from patients withsepsis. It describes and compares three approaches tailored to a sepsis dataset, which isanalyzed and finally used to build a sepsis prediction system based on clinical data routinelyrecorded in an intensive care unit
Model of statistical data analysis on nitrogen content in soybeans (Glicine Max Merrill) in Clavera variety
Climate change, drought and high temperatures lately have led to the need to increase the adaptation capacities of plants to these changes. The purpose of the research is to gain knowledge regarding the influence of the biologically active substances Reglalg (compound of algal nature) and Biovit (compound of humic nature) on plant development, productivity and adaptation of plants to new climatic conditions. The research was based on decision support systems, machine learning and graph databases. These systems allow in-depth processing of unstructured data and making the necessary decisions. In this sense, an intelligent model was developed for the processing of biological data as part of a Decision Support System. For data analysis and knowledge generation, a graph database was developed to determine relationships and connections between entities, phenomena or events. Graphs allow the representation of complex information in a simple and intuitive way, which makes it easier to perform and analyze them. The use of Machine Learning methods allows the highlighting of laws and interactions between different elements, which can lead to the discovery of patterns and trends that can be easily identified. The paper presents the structure and functions of some components of the decision support system for the study of nitrogen content in soybean