The regeneration of vessels and their development occur in places of their destruction. This phenomenon suggests that the destruction process itself stimulates vascular development and entails tissue healing and self-repair. Understanding the phenomena of self-repair is extremely important in the process of restoring tissues and organs to the proper functioning of individual organs and the entire body. Therefore, the recognition of angiogenesis processes seems to be the key in the treatment of many diseases.

In this review article, we will introduce all reported methods that have been developed for determination of certain anti-tussive and anti-histaminic drugs such as salbutamol, ambroxol and fexofenadine in their pure form, combined form with other drugs, combined form with degradation products, and in biological samples. We also will shed the light on the most important combination of drugs that are used for treatment of asthma and related diseases.

The vegetation of Balochistan is of critical value to the quality of life for the local nomadic people. Many important dominant species used for animal grazing were selected to evaluate their value as fodder during 2016-2017. These plants including Amylgdalus brahuica Boiss, Prunus eburnea Aitch, Caragana ambigua Stocks, Sophora mollis Royle, Perovskia abrotanoides Karel, and Berberis baluchistanica Ahrendt, (as because Sophora mollis were not found in Zarghoon] were collected seasonally from Hazarganji, Karkhasa and Zarghoon area of Quetta district. These were analyzed for macro and micro elemental composition such as P, Ca, Na, K, S, Fe, Zn, Sr, Al and Mn by using atomic absorption, flame photometer and X-ray florescence spectrophotometer. The elemental concentrations were compared with standard feed table of Pakistan Agriculture Research Council. P. eburnea and B. baluchistanica showed good amount of nutrients in their foliage, these two plants were palatable and preferred by the small ruminants, while A. brahuica and C. ambigua showed medium amounts of minerals and fulfill the requirements of the animal as fodder. The animals did not prefer to eat P. abrotanoides may due to its strong smell while S. mollishad deposition of cutin and suberin on their leaves. It was observed that there was no significant difference (P > 0.05] in the concentration of different elements of the forage due to seasonal changes.

The aim of the present study is to assess the performance of the biochemistry laboratory of Joseph Ravoahangy Andrianavalona by the dosage of the most prescribed 7 biochemical parameters. It is a retrospective evaluative study of the performance of the biochemistry laboratory of Joseph Ravoahangy Andrianavalona University Hospital Center on a period of 6 months from January 2020 to June 2020 involving 12 samples of External Evaluation of the Quality provided by the Quality Insurance Association of the clinical Biology Laboratories in France. Uremia, Serum creatinine, blood glucose, natremia, kaliemia, chlorure and were dosed on the 12 samples which carried out 84 dosages. During a period of 6 months the accuracy was 97.61%. The precision had been 100% if the Variation Coefficient Ratio (VCR) was below 1.50. This participation in the External Evaluation of the Quality program can then improve the quality of the laboratory. It is a step towards the accreditation process.

A novel coronavirus, SARS-CoV-2, was identified as the cause of an outbreak of viral pneumonia in Wuhan, China. The disease, later named coronavirus disease 2019 (COVID-19), subsequently spread globally. COVID- 19 is an aggressive disease with a low median survival rate. Ironically, the treatment process is long and very costly due to its high recurrence and mortality rates. Accurate early diagnosis and prognosis prediction of COVID-19 are essential to enhance the patients survival rate. Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with imaging, and clinical data to analyze patients with COVID-19. They have developed a unique algorithm that can rapidly detect COVID-19 based on how lung disease looks in computed tomography (CT scans) of the chest, in combination with patient information including symptoms, age, bloodwork, and possible contact with someone infected with the virus. AI has huge potential for analyzing large amounts of data quickly, an attribute that can have a big impact in a situation such as a pandemic. There is increasing evidence that some racial and ethnic minority groups are being disproportionately affected by COVID-19.

Among the various naturally occurring abiotic factors regulating plant development, different types of light play an important role in them. Photosynthesis, photoperiodism, and photo morphogenesis. In this trial the effects of different colors of light on (seed) germination, phytochrome conversion, length of seedling, biomass production in wheat varieties Shalkot and Tandojam. The rate of germination data indicates white 96%, Red 100%, far-red 95%, Blue 95%, and dark 64%, in Shalkot. In Tandojam rate of germination 94% White, 93% red, 82% far red, 92% blue, and 50% dark, were observed. Root and shoot length were higher in Shalkot under white light. Difference between dry and fresh weight in Shalkot under white, red, far-red, blue, dark, 1.66g, 0.94g, 0.98g, 0.97g, 0.6g, respectively. In Tandojam difference between dry and fresh weight observed under white, red, far-red, blue, dark, 1.48g, 0.92g, 0.70g, 0.97g, 0.4g respectively. By using bioinformatics tools identified some light-harvesting genes in wheat (Triticum aestivum) by using model plant Arabidopsis thaliana. The identified light-harvesting genes include cl02879, cl25816, cl33336, cl31857, cl28913.