The Design of an Intelligent Robotic Wheelchair Supporting People with Special Needs, including for Their Visual System

The paper aims to study the applicability and limitations of the solution resulting from a design process for an intelligent system supporting people with special needs who are not physically able to control a wheelchair using classical systems. The intelligent system uses information from smart sensors and offers a control system that replaces the use of a joystick. The necessary movements of the chair in the environment can be determined by an intelligent vision system analyzing the direction of the patient’s gaze and point of view, as well as the actions of the head. In this approach, an important task is to detect the destination target in the 3D workspace. This solution has been evaluated, outdoor and indoor, under different lighting conditions. In order to design the intelligent wheelchair, and because sometimes people with special needs also have specific problems with their optical system (e.g., strabismus, Nystagmus) the system was tested on different subjects, some of them wearing eyeglasses. During the design process of the intelligent system, all the tests involving human subjects were performed in accordance with specific rules of medical security and ethics. In this sense, the process was supervised by a company specialized in health activities that involve people with special needs. The main results and findings are as follows: validation of the proposed solution for all indoor lightning conditions; methodology to create personal profiles, used to improve the HMI efficiency and to adapt it to each subject needs; a primary evaluation and validation for the use of personal profiles in real life, indoor conditions. The conclusion is that the proposed solution can be used for persons who are not physically able to control a wheelchair using classical systems, having with minor vision deficiencies or major vision impairment affecting one of the eyes.

Air Pollution and Medical Insurance: From a Health-Based Perspective

Using the China Health and Retirement Longitudinal Study (CHARLS), this paper quantifies the causal effects of air pollution on the demand for medical insurance. Results suggest that the rise in air pollution is associated with an increased probability of purchasing medical insurance. Furthermore, residents are more inclined to have basic medical and commercial insurance, rather than critical illness insurance. In addition, the evidence of two possible channels through which air pollution is related to purchasing insurance are found, including causing chronic diseases and depression. This study provides empirical evidence for China and other developing countries to improve the medical security system and promote the national health movement.

Cross-Level Impact of Macro Social Capital on Workers’ Health: The Mediating Role of Workers’ Status and the Regulating Role of Medical Security System

Based on the definition of macro social capital in the field of health, this paper explores the impact of macro social capital on laborers’ health, the intermediary role of laborers’ status, and the regulatory role of medical security system by using the data of China Labor Force Dynamic Survey (CLDS) in 2016 and hierarchical linear model (HLM). The results show that improving the level of regional economic development and increasing the government total investment in health are helpful to improve the health of local people and further verify that improving personal health depends more on the government health expenditure than on private health expenditure. At the same time, the empirical results show that only the subjective well-being of laborers and the satisfaction of family economic status partially mediate the promotion of macro social capital on health; although macro social capital helps to improve individual health, its influence is declining with the improvement of the type of health insurance. When making policies, we should focus on strengthening the improvement of the overall health level of the society, rather than investing more human and material resources in some special groups. In the future, the government should further increase the government’s expenditure on public health, build a livelihood network of basic medical insurance, and promote the health of workers.

The Impact of Digital Transformation on Business: A Detailed Review

The human society is permanently changing in all aspects. It has experienced many challenges like wars, political conflicts, and financial systems collapse. Today it is hurt by an old well-known enemy – the pandemic. In order to make the things better and even to survive current society is investing in market, production, communications and technological progress. The common base of all these fields is the digitalization on the Communication and Information Technology (IT – Hardware, Software, Algorithms, and Methods). Since the 50-ies of the 20th Century the IT is in permanent development but this has not impacted all layers of the society. In the last decade it is observed a new trend. The IT impacts almost all layers and the technologies of the society – communications, productions, management, analysis, forecasts, education, health, social and medical security). This chapter is concentrated on the basics and tools of digital transformation of business and trends in the business and production in the frame of this new paradigm.

Detection of Moving Vehicles on Highway using Fuzzy Logic for Smart Surveillance System

The computer vision incorporates a prominent performance in developing models for medical, security and lot more concepts and we need to deal with detecting and tracking the moving objectsuch as moving vehicle or person. Various challenges are available due to environmental issues, illumination variation, or fast motion etc. This paper work has developed a fuzzy logic based method for identifying the moving vehicles though bounding boxas depicted in the green colour. The paper depictsa fuzzy based method to detect and track the object around the location until the specific secured dimension of the device. The extended recognition (EIR) is the proposed method which works on the automatic fuzzy set creation.The EIR consists of the pixels of the surroundings and recognize them with the predefined inputs we have with the EIR algorithm in the repository. This methodology successfully identified and detects vehicles. It can track the instances within that visible region and this is working as a human eye mechanism.

Event Prediction in Online Social Networks

Event prediction is a very important task in numerous applications of interest like fintech, medical, security, etc. However, event prediction is a highly complex task because it is challenging to classify, contains temporally changing themes of discussion and heavy topic drifts. In this research, we present a novel approach which leverages on the RFT framework developed in \cite{tan2020discovering}. This study addresses the challenge of accurately representing relational features in observed complex social communication behavior for the event prediction task; which recent graph learning methodologies are struggling with. The concept here, is to firstly learn the turbulent patterns of relational state transitions between actors preceeding an event and then secondly, to evolve these profiles temporally, in the event prediction process. The event prediction model which leverages on the RFT framework discovers, identifies and adaptively ranks relational turbulence as likelihood predictions of event occurrences. Extensive experiments on large-scale social datasets across important indicator tests for validation, show that the RFT framework performs comparably better by more than 10\% to HPM \cite{amodeo2011hybrid} and other state-of-the-art baselines in event prediction.

Analysis of the Poverty Reduction Effect of Medical Security on Poverty Caused by Illness of the Middle-aged and Elderly Poor People in Rural China

Background The Chinese government has adopted a series of medical security policies to reduce health poverty. This study analyzes the poverty caused by illness (PCI) of the middle-aged and elderly poor population (MAEPP) in rural China, and simulates the poverty reduction effect (PRE) of medical security on medical expenses. Methods The FGT index is used to measure the PCI of the MAEPP in eastern, central, and western regions of China before and after medical security compensation, and further simulate the PRE of medical security under different compensation ratios. Results The rural MAEPP in the eastern, central and western regions have different levels of PCI. The eastern region is higher than that in the central and western regions; the expenditure-based poverty caused by outpatient expenses is higher than the cost of hospitalization and self-treatment, and the self-treatment burden of the poor is large; The higher the compensation rate of medical security, the better the effect of poverty reduction. Conclusions Medical security has played a positive role in improving poverty. The PRE of medical security policies in different regions are different, and outpatient compensation in medical security has a better effect on poverty reduction.

MEDICAL SECURITY MASS EVACUATION OF REFUGEES FROM CRIMEA TO BIZERTE IN 1920

In mid-November 1920, 149 ships of the Russian Black Sea Fleet left the ports of Crimea in Turkey. They were 145 693 people, including 7000 wounded and sick. After the 1200-mile crossing in December 1920, 34 ships arrived at the final berth at the port of Bizerte (Tunisia). They were about 5000 people. The quality of medical assistance to refugees in the prevailing conditions is considered satisfactory.