أثر مؤشرات التغري املناخي يف انتشار بعض اإلمراض املعدية يف حمافظة ذي قار

The study examines the impact of climate change on the spread of some diseases in Thi- Qar Province through collecting and analyzing data about various weather elements and phenomena of some monitoring stations ( Nasiriyah ) for a high-temperature climatic cycle of 78 years (1941-2018). It is divided into seven consecutive and different time periods, 1941-1951, 1952-1962, and 1963-1973, 1974-1984, 1985-1995, 1996-2006, 2007-2018. These elements and phenomena are solar radiation, temperatures (maximum and minimum), wind (Dust storm, rising dust, suspended dust), and the thermal extremes phenomenon (heat and cold waves) The research aims to reveal the reality of trends in climate of the province of thi qar, and find out the reality of the general trend of the elements of climatic different by relying on a series of evidence statistical number of climatic variables for the meteorological station in Nasiriyah especially temperature, wind speed, relative humidity and rainfall, and extreme dust The most important results of the research showed that temperatures trending upward in sync with a clear reduction in the amount of relative humidity and rainfall which threatens a sharp repeating the phenomenon of drought in the future. The research study has found that the City of Nasiriyah ranked first in human diseases for the period 2009-2018, as the reasons for this level of diseases include that Nasiriyah is subject to the recurrence of dusty weather phenomena due to its proximity to the Western Desert Plateau, as well as the lack of cultivated and water-covered areas. This city witnesses serious air pollutions due to the concentration of a large number of factories located near inhabited areas, as well as, the spread of brick factories in the regions of the city, such as, brick factories in the area of El-Islah. This is public services, in addition to the building projects, deterioration of sewage overflow, the spread of epidemics and insects harmful to human health, other climatic environmental pollutants, such as the spread of pollen, plant scents and air allergens, which contributed to the increase in the severity of skin diseases, climate eyes, arthritis and respiratory allergies. The city of Al-Shatra ranked second in the number of people with climatic diseases, Al-Rifai ranked third with infected cases, Souk Al-Shuyoukh ranked fourth, and finally Al-Jibayish ranked fifth and last in people with climatic human diseases for the period 2009-2018 in Dhi- qar province due to the same geographical, climatic, medical, and environmental causes indicated earlier.

Multilevel and Antipodal Labelings for Families of Graphs

A radio k-labeling c of a graph G is a mapping c : V (G) → Z+ ∪ {0}, such that d(x, y) + |c(x) − c(y)| ≥ k + 1 holds for every two distinct vertices x and y of G, where d(x, y) is the distance between any two vertices x and y of G. The span of a radio k-labeling c is denoted by sp(c) and defined as max{|c(x) − c(y)| : x, y ∈ V (G)}. The radio labeling is a radio klabeling when k = diam(G). In other words, a radio labeling is a one-to-one function c : V (G) → Z+ ∪ {0}, such that |c(x) − c(y)| ≥ diam(G) + 1 − d(x, y) for any pair of vertices x, y in G. The radio number of G denoted by rn(G), is the lowest span taken over all radio labelings of the graph. When k = diam(G) − 1, a radio klabeling is called a radio antipodal labeling. An antipodal labeling for a graph G is a function c : V (G) → {0, 1, 2, ...}, so that d(x, y) + |c(x) − c(y)| ≥ diam(G) for all x, y ∈ G. The radio antipodal number for G denoted by an(G), is the minimum span of an antipodal labeling admitted by G. In this thesis, we investigate the exact value of the radio number and radio antipodal number for different family of graphs. Further more, we also determine the lower bound of the radio number for some cases.