International journal of health sciences
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    Study of the genetic polymorphisms of the promoter region of TNF- in Thi-Qar patients affected by psoriasis

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    Background: The relationship of factor polymorphisms has been portrayed in different investigations of tumor corruption (TNF-) and incendiary pathologies, for example, psoriasis vulgaris and joint pain psoriatic, despite the fact that the outcomes are variable as indicated by the number of inhabitants in birthplace of the example. Objective: To analyze the polymorphisms of the promoter region of the TNF-gene in patients with moderate-severe psoriasis and establish the possible genotypic differences with those found in a group of healthy volunteers. Material and methods: 89 patients with moderate-severe psoriasis and 76 controls were selected no family or personal history of psoriasis. Polymorphisms of the promoter region of the TNF- gene in both groups. Results: We observed a higher prevalence of genotype with both alleles in the wild. in position -238 (GG, 86.5% vs 70.4% respectively) and -1031 (TT, 80.2% vs 45.8% respectively) in the group of patients with psoriasis when compared to the control group. The differences found in position -308 and -857 were not significant. Conclusion: There are differences in polymorphisms at positions -238 and -1031 between patients. with moderate-severe psoriasis and healthy volunteers, which supports the importance of the role of TNF- in the physiopathology of this entity

    Evaluation of MDA and serum minerals in patients with overt and subclinical hypothyroidism

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    Hypothyroidism is a common disorder of the thyroid gland in which the gland cannot compete with the body requirement of the thyroid hormones, triiodothyronine (T3) and thyroxine (T4). Hypothyroidism is classified into overt (OH) and subclinical (SbH), in which the first comprises the cases that have elevated levels of thyroid- stimulating hormone (TSH) and reduced levels of T4 while the second comprises the cases with elevated TSH but normal T4 levels. The goal of the present study is to investigate the level of malondialdehyde (MDA) and some minerals (calcium, magnesium, and phosphorus) in patients with SbH and OH. For this purpose, 80 patients from Al-Yarmook Teaching Hospital were enrolled in the study half of them were diagnosed with OH and the other half were diagnosed with SbH. The study has been controlled with 40 healthy people of comparable age and all of the three groups were contained 50% males and females. The anthropometric examination of subjects has revealed that the body mass index (BMI) and waist to hip ratio (WHpR) were significantly (p<0.05) altered among control, OH, and SbH subjects

    Protecting tribal peoples nearby patient care centres use a hybrid techniques based on a distribution network

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    Adivasi, or tribal, indigenous cultures are home to over a hundred million Indians. Tribes now account for about 8.5 percent of the Indian population. The majority of tribal communities can be found in central India, from west to east, with a few others in the country's north and east. Tribes have left a rich legacy of folklore, ecology, agriculture, art forms and regional artisan methods. Now we'll start with the tribal’s of Andhra Pradesh. The majority of them are currently dealing with a wide range of medical health issues, including malnutrition, maternal and child health issues, hereditary diseases, mental health issues, communicable diseases, specialist disorders, and non communicable illnesses. Another major issue is that tribal people are uneducated and live in impoverished areas, so they have no idea what to do or what not to do. There is also a lack of health-related awareness, a lack of healthcare facilities in remote rural areas, a lack of emergency transportation, discriminatory behaviour by healthcare providers. All of the issues mentioned above have an impact on tribal people

    Study the beneficial role of laser irradiation combination with indirect swim-up sperm preparation technique against oxidative DNA damage in infertile men

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    Background: In order to offer successful assisted reproductive procedures, a variety of in vitro sperm preparation techniques were created to separate normal and motile spermatozoa from other constituents of the sample. Much research on the laser as a sperm motility stimulant has been undertaken, and the results have indicated that the Laser has a good effect on sperm activation in vitro and improves progressive forward movement.  Objective: This study is aimed to identify the differences in sperm activation by ISU with or without laser methods and compare them. And detection of oxidative damage to the DNA before and after laser by assessment of the 8-Hydroxydeoxyguanosine (8-OHDG) as a biomarker. Patients and Methods: The current study was conducted on 30 semen samples, divided into two groups (Asthenozoospermia and Normozoospermia individuals), during the period of attendance at the infertility clinic at the High Institute for Infertility Diagnosis and Assisted Reproductive Technologies, Al-Nahrain University. From November 2021 until March 2022. Each sperm sample was separated into three portions

    A review of work done with the police force and the need for change

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    A number of studies have been conducted and published on police personnel across the world. Studies have shown that younger police personnel experience fear on the job while older police personnel are more fearful of being negatively appraised on the job. The work of the police is both demanding and stressful and these are associated with burnout and increased incidence of mood disorders. Increases in stress levels has also been associated with suicidal ideation. Our emotions are a product of the culture that we are brought up in and live in. which points to the need to reduce the stigma associated with police personnel seeking help for mental health. There is a need to shift to community based policing where police personnel are seen as helpful guardians, rather than being military like in uniform. In addition there is a need to have better measures of assessment of the stress levels of police personnel. Better wellbeing has been significantly associated with increased job satisfaction, lower levels of depression, reduced frustration and lower work related stress

    GIS-based groundwater quality assessment for domestic and irrigation purposes in Ogbia local government area of Bayelsa State, Nigeria

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    Groundwater is germane to human existence. The study assessed the physicochemical attributes of groundwater for domestic and irrigation applications. This was conducted by collecting and subjecting thirty (30) groundwater samples to physicochemical analysis. Thirteen parameters such as pH, electrical conductivity, total dissolved solids, total hardness, magnesium, calcium, sodium, iron, fluoride, chloride, sulphate, nitrate, and phosphate were used to compute water quality index (WQI). While chloride, electrical conductivity, magnesium adsorption ratio (MAR) and sodium adsorption ratio (SAR) were used to characterise the groundwater for irrigation purposes. Inverse distance weighted (IDW) interpolation method was used to develop spatial variation maps for both the WQI and the irrigation indices. Except for iron and fluoride, the results of the physicochemical parameters were within the WHO permissible limits. The WQI values for the boreholes range between 23.53 and 393.72 with a mean value of 108.69. The WQI was classified into excellent water (7.89%), good water (40.00%), poor water (43.34%), very poor water (5.44%) and unsuitable water (3.33%). The results for irrigation indices show that chloride and EC fall within the suitable groundwater status, MAR classified into suitable (46.67%) and unsuitable (53.33%), and SAR delineate the groundwater status into suitable (43.33%) and marginally suitable (56.67%).&nbsp

    Study of transcerebellar diameter to abdominal circumference ratio in prediction of foetal growth restriction in high risk pregnancies

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    Background: The high incidence of IUGR and its low recognition lead to increasing perinatal morbidity and mortality for which prediction of IUGR with timely management decisions is of paramount importance. Many studies have compared the efficacy of several gestational age independent parameters and found that TCD/AC is a better predictor of asymmetric IUGR. Aims: To study the trans cerebellar diameter / abdominal circumference ratio values in clinically suspected FGR and high-risk cases of pregnant women after 28 weeks. Materials and methods: A prospective study consisting of 100 antenatal women was conducted in pregnant women with clinically suspected FGR and high risk pregnancies after 28 weeks.  Results: The most common gestational age group taken for evaluation of TCD/AC ratio was in between 30-36 weeks. Preeclampsia is the major predisposing factor of FGR i.e. 46%, and 30 % of cases were under unknown cause. The mean TCD/AC ratio in FGR cases is 17 .33 +/- 0.23. The cut-off value of TCD/AC ratio was 15.77. TCD/AC ratio has 98% positive predictive value when compared to FL/AC and HC/AC. LSCS rate is high in FGR cases (58 %).&nbsp

    An intelligent crop growth monitoring system using IoT and machine learning

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    Agriculture is the important part of any developing country. As population increases the food requirement also be increases so the traditional farming not sufficient to fulfill the requirement of food. The development of industries, decreases in land space, insufficient rainfall, chemicals used in farming and peoples are moving towards the urban cities are the challenges of the agricultural field. So we have to use another source of food which we called as hydroponics. In hydroponics we can developed our plant by supplying the nutrients through water without use of soil. In this study we had used the applicability of machine learning algorithm like support vector regression(SVR), Linear Regression, Lasso Regression, Decision Tree(DT), Ridge regression and Random forest to find the crop growth accuracy from the result we found that random forest has given the highest accuracy 95% and the performance are evaluated on various model like Decision Tree Regression having better performance on (R2=0.86), Support Vector Regression having better performance on (MAE=12.65 and RMSE= 21.31) and Lasso Regression having better performance on (MSE=4.51). The whole dataset are stored on csv file and divided into two subpart 80% data is used for training and 20% is used for testing

    Phenotypic detection of multidrug-resistance pseudomonas aeruginosa isolated from various clinical samples

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    Introduction: β-Lactamase production is considered one of the most important resistance mechanisms among virulent Pseudomonas aeruginosa isolates. The aim of the study was to detect Extended Spectrum β-Lactamase (ESBL) and Metallo β-Lactamase (MBL) in Pseudomonas aeruginosa obtained from various clinical samples. Materials and Methods: The study was conducted in the Department of Microbiology, Govt. Medical College, Shahdol. All clinical specimens were processed and P. aeruginosa isolates were identified by standard protocols. Antibiotic sensitivity testing for all isolates was done using Kirby-Bauer disc diffusion method. Detection of ESBL and MBL was done by Disc potentiation test. Results: Among 347(27.2%) isolates of P. aeruginosa, 284(88.2%) were MDR, 139(40%) and 73(21%) were ESBL and MBL producers respectively where 39(11.2%) isolates produced both ESBL and MBL. Conclusion: A high prevalence of MDR, ESBL, MBL positive isolates among P. aeruginosa is increasing at an alarming rate. Thus, proper antibiotic policy and measures to restrict the indiscriminative use of cephalosporins and carbapenems should be taken to minimize the emergence of this MDRPA

    Crop yield prediction in agriculture based on climatic conditions and ground water level prediction for southern regions

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    The main aim of this project is to predict the rainfall ,ground water level and temperature for next ten years to predict the crop yield. The prediction of crop yield based on previous years downfall, temperature and ground water level results in taking necessary steps to improve crop yield in future years.Understanding crop yield can help ensure food security and reduce impacts of climate change. Crops are sensitive to various weather phenomena such as temperature, weather and rainfall. Therefore, it becomes crucial to incorporate these features when predicting the yield of a crop. Forecasting is a complicated process. In this work, ARMA (Auto Regressive Moving Average) method is employed to forecast crop yield. Past ten years of knowledge set is taken for temperature, rainfall and ground water level for our country. Moreover, classification of downfall, temperature and ground water level data set records is done using ANN approach to predict the model for future test record data sets. It will be helpful in analyzing crop yield in the past and so as to predict the future levels

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    International journal of health sciences
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