Moral Sensitivity of Young People with Intellectual Disability – Its Role in The Process of Their Education

According to Heller and Życiński (1980) the primary regulator of human behaviour is the system of values therefore its development should be in the centre of all educational and upbringing measures. Our focus here is on moral sensitivity understood as the ability of an individual to see social situations from the perspective of moral good and moral evil that represent values embodied in moral norms adopted by the world and internalised by humans as the principles of conduct. The main research question was the following: How morally sensitive are persons with ID and how is their sensitivity associated with the degree of intellectual disability and gender? A non-probability sample 267 of Polish residents aged 16-30 years with mild (58.42%) or moderate (41.58%) intellectual disability was assembled. Men and women were almost in equal proportion. The Moral Sensitivity Inventory (MSI; Otrębski, Sudoł, 2020) has been used to measure the moral sensitivity of people with ID. It consists of 10 illustrated stories presenting typical social situations containing moral dilemmas, and an evaluation form. The tested person’s task is to answer the following question “Who, in this story, did something right or wrong, and what was that?” and to indicate as many moral elements in the story and the picture as they can. The results imply that the study participants had different ability to discern moral good and moral evil. They were more sensitive to the manifestations of good and evil bad associated with Understanding one’s behaviour and its impact on others (more than one-fourth of them had high scores) and less perceptive of those relating to Respect for others’ property and Conformance to principles and norms. The results of the study expand the knowledge of the overall moral sensitivity of persons with intellectual disabilities.

Analyzing publication trend on microcredit research using bibliometrics approach

This paper aims to apply the bibliometrics method to investigate the research trends in the study of microcredit, specifically analyzing the quality of the research productions by the citation status and the mutual influence of these publications. This study has used the bibliometric method for an overview analysis of all 382 publications on the topic of microcredit indexed in the Scopus database for the period of 1994 to 2021. The results of the study provide an overview of the publication trend on the microcredit topic, such as (i) the most influential publications; (ii) the most cited authors; (iii) the most cited journals by publications on the microcredit topic; (iv) the main research keywords that network linked among publications on the microcredit topic; (v) the most productive institutions; (vi) the trend of research collaboration among countries in publications on the microcredit topic. The article provides an objective overview of the microcredit topic development and is a valuable reference for scholars studying finance, economics, and business management.

Maintenance and sustainability: a systematic review of modeling-based literature

PurposeMaintenance is a critical business function with a great impact on economic, environmental and social aspects. However, maintenance decisions' planning has been driven by merely economic and technical measures with inadequate consideration of environmental and social dimensions. This paper presents a review of the literature pertaining to sustainable maintenance decision-making models supported by a bibliometric analysis that seeks to establish the evolution of this research over time and identify the main research clusters.Design/methodology/approachA systematic literature review, supported with a bibliometric and network analysis, of the extant studies is conducted. The relevant literature is categorized based on which sustainability pillar, or possibly multiple ones, is being considered with further classification outlining the application area, modeling approach and the specific peculiarities characterizing each area.FindingsThe review revealed that maintenance and sustainability modeling is an emerging area of research that has intensified in the last few years. This fertile area can be developed further in several directions. In particular, there is room for devising models that are implementable, based on reliable and timely data with proven tangible practical results. While the environmental aspect has been considered, there is a clear scarcity of works addressing the social dimension. One of the identified barriers to developing applicable models is the lack of the required, accurate and timely data.Originality/valueThis work contributes to the maintenance and sustainability modeling research area, provides insights not previously addressed and highlights several avenues for future research. To the best of the authors' knowledge, this is the first review that looks at the integration of sustainability issues in maintenance modeling and optimization.

Application and Feasibility Study of Integrated Nursing Information Construction in Nephrology Nursing

With the continuous deepening of medical reforms and the continuous attempts and explorations of various management models, the traditional health care model is undergoing tremendous changes, and patients’ needs for medical institutions are becoming more and more comprehensive. Medical institutions are meeting the needs of providing medical services to patients at the same time. It is even more necessary to change our thinking and enhance the service concept. This article is based on case-based deep learning hospital nursing business process reengineering and the application and feasibility study of integrated nursing information construction in nephrology nursing. This article uses the literature analysis method, the social survey method, and other methods to discuss the construction of integrated nursing information. On the one hand, the content of this article uses the concept of process reengineering to analyze the current development status and existing problems of the hospital care industry and find countermeasures to solve problems. On the other hand, the main research content of this article is the construction of integrated nursing information and its analysis of the application and feasibility of nursing in the nephrology department. At the same time, under the background of the rapid development of the mobile Internet, we will carry out extended thinking on the continuous transformation of the construction of nursing information. According to the survey results, 87.5% of patients in the nephrology department are dissatisfied with the current hospital’s work efficiency, and 85.7% of the nursing staff in the nephrology department are generally satisfied with the information management of the current department. After the implementation of the hospital information integration system, patient satisfaction is as high as 98.2%, and the satisfaction of medical staff reached 94.2%. The construction of integrated nursing information has played a great role in the application of nephrology nursing.

Score Prediction of Sports Events Based on Parallel Self-Organizing Nonlinear Neural Network

This paper introduces the basic concepts and main characteristics of parallel self-organizing networks and analyzes and predicts parallel self-organizing networks through neural networks and their hybrid models. First, we train and describe the law and development trend of the parallel self-organizing network through historical data of the parallel self-organizing network and then use the discovered law to predict the performance of the new data and compare it with its true value. Second, this paper takes the prediction and application of chaotic parallel self-organizing networks as the main research line and neural networks as the main research method. Based on the summary and analysis of traditional neural networks, it jumps out of inertial thinking and first proposes phase space. Reconstruction parameters and neural network structure parameters are unified and optimized, and then, the idea of dividing the phase space into multiple subspaces is proposed. The multi-neural network method is adopted to track and predict the local trajectory of the chaotic attractor in the subspace with high precision to improve overall forecasting performance. During the experiment, short-term and longer-term prediction experiments were performed on the chaotic parallel self-organizing network. The results show that not only the accuracy of the simulation results is greatly improved but also the prediction performance of the real data observed in reality is also greatly improved. When predicting the parallel self-organizing network, the minimum error of the self-organizing difference model is 0.3691, and the minimum error of the self-organizing autoregressive neural network is 0.008, and neural network minimum error is 0.0081. In the parallel self-organizing network prediction of sports event scores, the errors of the above models are 0.0174, 0.0081, 0.0135, and 0.0381, respectively.

Neurohypofyzární peptidy v lékařství z pražských a švédských laboratoří. Část I: Historie výzkumu a počátky produkce lékových forem

From the fifties to the seventies of the last century, the neurohypophyseal peptides oxytocin and vasopressin constituted one of the main research areas at the Institute of Organic Chemistry and Biochemistry in Prague (IOCB). A significant contribution to this area is associated with the names of František Šorm, director of the said institute, and Josef Rudinger, head of the institute's peptide laboratory. At that time, newly developed research tools enabled to synthesize structural analogues of these hormones in numerous laboratories worldwide and hence to investigate the structure-activity relationships within this peptide group. Contributions of single peptide-chain positions to the respective biological activities were identified which opened a possibility to rationalize a design of peptides with a combination of changes in several positions. Several clinically interesting peptides were synthesized in the late 1960s at the IOCB and employed as therapeutics: [(Gly)3-Cys1,Lys8]-vasopressin (Glypressin Ferring®, Terli­pressin INN), 1-deamino-8-ᴅ-arginine vasopressin (Desmopressin INN, dDAVP), and later the uterotonics carbetocin (INN), widely used in obstetrics to prevent postpartum haemorrhage. Since the industrial production of peptide therapeutics was scarcely possible under the conditions of socialist economy in Czechoslovakia as well as in other countries under the Soviet influence, F. Šorm agreed to use the already established scientific contacts of IOCB with the Swedish pharmaceutical company Ferring AB and to transfer the production licences to Sweden. The license agreements were signed in 1969 and led to a quick spread of dDAVP in the substitution therapy of the central form of diabetes insipidus and, moreover, contributed to a fast upsurge of the Ferring company. Somewhat later, Glypressin was produced as a therapeutic with a prolonged action in cases of cardiovascular collapse. Contacts between Prague peptide chemists and the Ferring company lasted on a rather informal base until the end of the 1980s. After the fall of the totalitarian regime in Czechoslovakia in 1990, Ferring started a joint-venture collaboration with the newly organized Czech company Léčiva st.p. Praha in a newly established group Prague Polypeptide Institute spol. s. r.o. (later Ferring-Léčiva A.S.). A substantial part of the peptide-production capacities was then transferred to new buildings in Prague.

Stuck in a Time Warp? The Great Recession and the Socio-occupational Integration of Migrants in Spain

This article examines the socio-occupational integration of the immigrant population in Spain for a time span that, for the first time, includes the post-crisis period. Using the Spanish Labour Force Survey and conducting a socio-occupational analysis, we predict the probability that a migrant would be employed in one socio-occupational class over another in three periods: before, during and after the crisis. Our main research questions are as follows: (1) To what extent do migrants tend to be located in certain socio-occupational classes? (2) To what extent does the likelihood of belonging to a certain socio-occupational class differ according to immigrants’ places of origin? (3) Can differences be found in the likelihood of belonging to a certain socio-occupational class according to the places of origin before, during and after the Great Recession? The results show a very unequal distribution of immigrants in the socio-occupational structure according to their origin. While immigrants from Schengen Europe and North America are better located in the occupational structure, those from Eastern Europe and Africa are over-represented in the lower socio-occupational classes.

A Recursive Algorithm for the Forward Kinematic Analysis of Robotic Systems Using Euler Angles

Forward kinematics is one of the main research fields in robotics, where the goal is to obtain the position of a robot’s end-effector from its joint parameters. This work presents a method for achieving this using a recursive algorithm that builds a 3D computational model from the configuration of a robotic system. The orientation of the robot’s links is determined from the joint angles using Euler Angles and rotation matrices. Kinematic links are modeled sequentially, the properties of each link are defined by its geometry, the geometry of its predecessor in the kinematic chain, and the configuration of the joint between them. This makes this method ideal for tackling serial kinematic chains. The proposed method is advantageous due to its theoretical increase in computational efficiency, ease of implementation, and simple interpretation of the geometric operations. This method is tested and validated by modeling a human-inspired robotic mobile manipulator (CHARMIE) in Python.

Implementing E-Commerce from Logistic Perspective: Literature Review and Methodological Framework

E-commerce is always more diffused as a selling channel around the whole world market, and its importance has increased and continues to increase with the COVID-19 pandemic emergency. It provides enterprises a lot of opportunities, as the importance of physical stores to sell goods is bypassed. However, it has also changed the role of logistics in the supply chain. For this reason, this work aims to identify the main logistics research areas related to e-commerce implementation and the factors and key performance indicators, which should be taken into account for each logistics research area, with particular attention to sustainable aspects. For doing this, a structured and comprehensive literature analysis is carried out. Keywords associated with e-commerce and logistics areas are matched to identify the most interesting works related to its implementation. From the analysis, five main research areas are identified: Supply Chain Network Design (SCND); Outbound Logistics (OL); Reverse Logistics (RL); Warehousing (WR); and IT and data management (E-IT). For each area, key factors, strategies and performance indicators have been identified. Finally, a methodological framework that summarizes the results of the analysis is presented; this is a useful tool for managers to implement or expand their e-commerce business. Many works are focused on one research area, carrying out critical factors, models, and methods to implement that topic. Instead, the methodological framework presented here summarizes multiple research areas from a logistic point of view, identifying for each one input and output variables and how they influence each other.

SOCIAL STRUCTURE OF ANCIENT RUSSIA

В статье рассматриваются особенности формирования социальной стратификации Древней Руси на раннем этапе развития, этапы появления различных страт в зависимости от социально-политических событий с X по XII вв. Предметом исследования является процесс образования социальных страт в древнерусском государстве. Цель статьи - рассмотреть социальное устройство Древней Руси, определить и описать стратификацию и взаимодействие страт между собой, историю изучения данного вопроса, политические события, влияющие на данные процессы. Основным вопросом исследования явились исторические события, оказавшие влияние на формирование социальных страт с X по XII вв., появление социальных страт в данный исторический период и формы их взаимодействия. Отвечая на данный вопрос, автор приходит к выводу, что разложение патриархально-общинного строя, формирование феодального вассалитета, принципа майората, княжеской дружины и другие внутриполитические события повлияли на формирование социальных страт государства. В связи с данными историческими событиями удается проследить этапы происхождения социальных слоев населения, их состав, социальные функции в обществе и государстве. The paper examines the features of the social stratification of the Ancient system at an early stage of development, the stages of the emergence of various strata depending on political events from the 10th to the 12th centuries. The subject of this research is the process of the formation of social strata in the ancient European state. The purpose of the publication is to consider the social structure of Ancient Rus, to determine and describe the stratification and interaction of strata with each other, to study this issue, political events that affect these processes. The main research issue was the historical events that influenced the formation of social strata from the 10th to the 12th centuries, the emergence of social strata in a given historical period and the forms of their interaction. Answering this question, the author arrives at the conclusion that the disintegration of the patriarchal-communal system, the formation of a feudal vassalage, the principle of primacy, the princely squad and other internal political events influenced the formation of social strata of the state. In connection with these historical events, it is possible to trace the stages of the origin of social strata of the population, their composition, social functions in society and the state.