Academic freedom is a human right, and if human rights are general rights, academic freedom is a special freedom for members of the academic community. Despite the modernity of the term "academic freedom", its content was not the result of the contemporary state of scientific academic bodies, That the development of the importance of this term coincided with the development of the exercise of public freedoms, and increased interest in and protection, so the number and expanded images of academic freedom, and was a manifestation of interest in this freedom to try to determine the content or what it is and pictures, The first of these guarantees is the supervision of the constitutionality of the laws, which are carried out through judicial

The estimation of the parameters of linear regression is based on the usual Least Square method, as this method is based on the estimation of several basic assumptions. Therefore, the accuracy of estimating the parameters of the model depends on the validity of these hypotheses. The most successful technique was the robust estimation method which is minimizing maximum likelihood estimator (MM-estimator) that proved its efficiency in this purpose. However, the use of the model becomes unrealistic and one of these assumptions is the uniformity of the variance and the normal distribution of the error. These assumptions are not achievable in the case of studying a specific problem that may include complex data of more than one model. To

This study investigates the possibility of removing ciprofloxacin (CIP) using three types of adsorbent based on green-prepared iron nanoparticles (Fe.NPs), copper nanoparticles (Cu. NPS), and silver nanoparticles (Ag. NPS) from synthesized aqueous solution. They were characterized using different analysis methods. According to the characterization findings, each prepared NPs has the shape of a sphere and with ranges in sizes from of 85, 47, and 32 nanometers and a surface area of 2.1913, 1.6562, and 1.2387 m²/g for Fe.NPs, Cu.NPs and Ag.NPs, respectively. The effects of various parameters such as pH, initial CIP concentration, temperature, NPs dosage, and time on CIP removal were investigated through batch experiments. The res

    COVID-19 is an infectious pandemic disease which is caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Up to date, scientists are trying to identify a new specific antiviral drug to overcome this disease. Different methods are under study and evaluation in the entire world to control the virus, including blood plasma, blood purification, and antimicrobial and antiviral agents; however, there are no approved drugs yet. This review is focused on the conducted clinical trials worldwide, including the Iraq- Kurdistan region, China, USA, and Europe, to fi

Abstract:          

                Interest in the topic of prediction has increased in recent years and appeared modern methods such as Artificial Neural Networks models, if these methods are able to learn and adapt self with any model, and does not require assumptions on the nature of the time series. On the other hand, the methods currently used to predict the classic method such as Box-Jenkins may be difficult to diagnose chain and modeling because they assume strict conditions.

Background: Tap waters play an important role in fulfilling the people needs for drinking and domestic purposes. Contaminate the tap water with different pollutants has become an issue of great concern for 90% of people who are depended on the tap water as the main source of drinking. Pollutants can make their way easily into the delivering pipes which suffer from the leaking resulting in decreasing the quality of water. Objective: Therefore, assess the water quality for drinking purpose by calculating the water quality index is an important tool to ascertain whether the water is suitable for human consumption or not. Methods: In the present work, the water quality of the Al-Salam, western region of Baghdad city, Iraq was investigated for 7

The present study conducted on 120 obese males and 50 healthy males, their age ranged from 20-50 years. The patients were divided into 3 groups based on Body Mass Index (BMI) and Central Obesity (CO), it has noticed that there is a significant relation between both indexes. The DNA was isolated from the blood of patients and applies for PCR by using designed primers for exons 1 and 3 of GCG gene. The results showed that there are mutants in exon 1 at locus 9573 (G/C) for 30 patients and locus 9864 (C/-) for 10 patients with X2 = 12.30, also it has fund mutants in exon 3 at locus 5397 (A/G) for 28 patients and locus 5434 (G/A) for 8 patients with X2 = 11.11. These mutants have a high significant effect P≤ 0.001 to cause pathogenicity.