According to the World Health Organization, lower-income countries suffer from adverse health issues more than higher-income countries. Information and communication technologies (ICT) have the potential to resolve these issues. Previous research has analyzed the theoretical and empirical causal effects of ICT on infant mortality at country-specific and global levels for a short period of time. However, the causes and results could be different in low-income countries. The objective of this paper was to examine the deficiencies through the use of panel data from 27 low-income countries from 2000–2017. We applied the predictive mean matching technique to supplement the missing data and then used panel data techniques (i.e., fixed effects (FE) and pooled common correlated effects (PCCE)), and system-GMM to estimate the causal effects. We compared the consistency and the possible heterogeneity of previous results using a set of robust techniques and empirical tests. We found that internet access and, to a lesser extent, cellular mobile subscriptions, two of the three ICT variables used in our research, had a significant positive effect on reducing infant mortality in low-income countries. In conclusion, governments and policymakers of low-income countries should consider the availability of internet-related ICT innovations and make them nationally accessible to reduce health crises such as the infant mortality rate.

The most important asset for a person is their health and wellbeing. While it is possible to keep one’s health at its best, it is common for people to have health shocks (HSs; negative shocks to an individual’s health). In this study, using Chinese Health and Nutrition Survey (CHNS) panel data, we studied the impact of different HSs on income using new modified methods. Thus, we considered the substantial links among different HSs, levels of education, and insurance types, as well as their impact on people’s wealth defined by their income. The core aim of this study is to help devise and guide new policies to reduce the effect of these HSs through the proper use of education and insurance channels. In this research, we used simple pooled OLS regression to measure the different causality estimates of HSs, education, and insurance, as well as their interactions. Obtained through the use of up-to-date panel data, the study results are consistent with previous research using different HS and education measures. The findings of this research suggest revising previous policies concerning education levels and health insurance schemes.

Intelligent habitat is the technology that integrates intelligence in a private environment (home, building, office, ...) to manage the daily life of a resident and reduce the energy consumed. However, home automation is the set of techniques and technologies (building physics, computing, and telecommunications) that enable automation and improvement of tasks within a residence or a workplace; it also aims to provide solutions Comfort, management of energy, security, and communication. This includes intelligent management of all electrical functions through the introduction of computers and new technologies. Around this topic, we present our contribution concerning an agent-based modeling and simulation for a residence fueled by a hybrid system with renewable energy, the objective of which is to reduce energy consumption and ensure acceptable comfort for residents. We begin our work with state of the art on works that are related to our topic, in the second section, we present the methodologies of modeling and simulation, followed by a multiagent simulation for the management of energy in the third section. The fourth section is reserved for the choice of the platform used for our solution; the multi-agent modeling is shown in the fifth section. We conclude with a conclusion that includes a review of the work done and some perspectives.

Ontology is considered one of the best tools for representation knowledge of a domain. It also facilitates the interchange of information and the interaction between systems. Although there is a lot of ontology's in smart building area to resolve energy efficiency and other issues, we note the absence of essential concepts in existing ontology's. The miss of some user profile concepts may lead to produce an unfavorable result and lead to a negative impact on user comfort. The user comfort is an important factor to evaluate the energy efficiency techniques in a smart building. In this work, we aim to present a smart building ontology supporting the human profile concept. This ontology takes into consideration maximum concepts associated with smart building and human profile. Existing applications and ontology's related to the smart building and user profiling domain have been taken into account in order to create a general, comprehensive and extensible ontology. We will exploit human profile in reasoning to provide the adequate services in the smart buildings, maximize the inhabitant comfort, care out about human conditions and satisfy those needs. We will use protege 5 to implement our ontology using the OWL (Semantic Web language), and SWRL (Semantic Web Rule Language) for energy efficiency reasoning.