International journal of health sciences
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Individualising / personalizing hemodialysate composition
Get PDFThe effectiveness of the haemodialysis (HD) treatment directly affects the survival and quality of life of dialysis patients. In this regard, the composition of the dialysate, including the quality of the water, is very important. Normalizing the plasma electrolyte and mineral concentrations before to dialysis while reducing significant changes in the patient's intradialytic plasma concentrations is one of HD's main goals. For the purpose of avoiding intra- and interdialytic hypotension as well as pulmonary edoema, adequate sodium (Na) and water elimination is essential. The cardiovascular system and the bones may be protected by having the right amounts of calcium (Ca) and magnesium (Mg) in the dialysate. This will help to avoid extraskeletal calcifications, severe secondary hyperparathyroidism, and adynamic bone disease. A steady pH in body fluids is required for proper protein and membrane function as well as bone protection, and this is achieved by maintaining an adequate bicarbonate concentration [HCO3]. A sufficient dialysate glucose concentration prevents life-threatening hypoglycemia and severe hyperglycemia, which can cause serious cardiovascular problems and exacerbate diabetic comorbidities
Evaluation of class 1, 2 and 3 integrons among multidrug resistant isolates of acinetobacter baumannii
Get PDFThe goal of this study was to determine the prevalence of class 1, 2, and 3 integrons in clinical Acinetobacter baumannii isolates from hospitalized patients. A total of 100 A. baumannii isolates were collected from several Imam Khomeini hospitals in Ilam, Iran. A. baumannii was discovered by traditional biochemical research. Following that, PCR was employed to detect several integron classes. Biochemical testing was used to identify Acinetobacter species. The samples obtained from patients (patients aged 21 to 69 years old, including 55 males and 45 women): Acinetobacter baumannii was found in 100 samples, Acinetobacter lufii in 25, and other Acinetobacter species in 12. 42 samples from the critical care unit were separated, 28 from the infectious department, 23 from the emergency department, and 7 from other departments. Furthermore, 44 blood samples, 23 trachea samples, 11 wound samples, 10 urine samples, and 12 unknown samples were isolated. Class 1 Integrons were found in 87 of 100 isolates, Class 2 Integrons in 74 of 100 isolates, and Class 3 Integrons in none of the isolates
Predictors of postpartum hemorrhage in vaginal deliveries: Retrospective observational study
Get PDFIn this study we aimed to identify the risk factors for acute postpartum hemorrhage in pregnant women. We investigated a number of potential risk factors, including the maternal age, gestational age, parity, birth weight, single or multiple pregnancies, episiotomy, tears requiring vaginal or perineal suturing, and placental retention. Data from 1628 deliveries performed from 2019 to 2020 were included. The maternal age ranged between 18 to 41 years, with a mean age of 26.6±3.2 years. The average blood loss postpartum was 234.4±229.7 ml. Among traditionally delivered patients, 309 (18.9%) experienced standard postpartum hemorrhage while of 27 (1.65%) had severe postpartum blood loss. Retained placenta was the major risk factor for both standard and severe postpartum hemorrhage (OR=4.31, 95% CI 1.85-10.04, p<0.001 vs OR=10.25, 95% CI 2.13-49.2, p<0.01). Similarly multiple pregnancy, macrosomia as well as episiotomy was associated with any postpartum hemorrhage. Women with previous history of deliveries and low weight neonates were less likely to experience postpartum hemorrhage (OR=0.69, 95% CI 0.54-0.90, p=0.006 and OR=0.54, 95% CI 0.29-0.97, p=0.04). Risk variables for postpartum hemorrhage were macrosomia, retained placenta, episiotomy, multiple pregnancy, and the necessity for perineal suture
The impact of renewable energy sources on forest crimes the case of North Cyprus
Get PDFDepending upon promoting and wide-spreading the use of renewable energy sources to preserve natural sources and forest land, several laws and regulations have been drawn by States in terms of sustainability. Investigations in forest land and natural sources for various reasons, statistics revealing forest crimes are being overviewed for sustainable preservation of forests and new arrangements in laws and regulations are being made. The statistics of forest crimes by the Office of Forestry, Preservation and Exploitation Branch and the Electricity Authority of TRNC were referred to while carrying out this study. The findings in these statistics revealed a substantial increase in forest crimes between the years 2012-2017 due to the lack of a State policy and failure in the common use of renewable resources. The findings in this research point to the fact that, based on a sustainable environment policy, more investment in renewable energy sources is essential and will positively affect the reductionof forest crime rates
Isolated and combined effect of hydraulic and ladder training on TCL, LDL and HDL cholesterol among college women students
Get PDFThe study involved 12 weeks of hydraulic resistance training, Ladder training and was given alternative days for 50 minutes a day. The variables tested on day 1 of the pre and post-testing sessions included T.C., LDL, and HDL tests measured in a laboratory unit of measurement in milligrams of cholesterol per deciliter of blood. Analysis of covariance on the data obtained on total cholesterol (T.C.), low-density lipoprotein cholesterol (LDL), and high-density lipoprotein cholesterol (HDL) from the subjects in the pre-test, post-test, and adjusted post-test mean of the hydraulic training group (H.T.G.), ladder training group (LLTG), combined hydraulic and ladder training group (CHLTG), and control group (C.G.) have presented and defining aspects and differential analysis of T.C., LDL, and HDL of karpagam academy of higher education college women students. The Statistical analysis from the H.T.G., LTG, CHLTG, and the C.G. of F ratio of the post-test was more significant than the table value of the degree of freedom 3, 56 required for the significance at 0.05 level. 
Designing the model of men's violence against women based on religious orientation and mental health, considering the mediating role of gendered educational style and cognitive emotion regulation styles
Get PDFBackground and objectives: Family is a center for affection and an environment for friendship and kindness among family members. However, the occurrence of violence in the family by one of the members towards others disrupts this function. This study investigated the relationship between religious orientation, cognitive styles of emotion regulation, gendered educational style and men's mental health is affected by violence against women. Materials and methods: The statistical population included the married men who referred to medical centers in Qazvin city; among whom, 300 people were selected through convenience sampling method. Data collection tools were Alport's Religious Beliefs Questionnaire, Keys' Mental Health Questionnaire, Mohseni Tabrizi's Domestic Violence Questionnaire, and Garnevsky's cognitive regulation of emotion. For descriptive analysis of data, central tendency and dispersion were used. The obtained data were analyzed in two descriptive and inferential statistics parts, using SPSS20 and Lisrel 8.80 software. The structural equations technique was used to implement the conceptual model of the research and hypothesis testing. Ethical considerations: Because the questions related to marital relations are private, it was attempted to use Iranian-Islamic questionnaires. Findings: Religious orientation, mental health, gendered educational style, and men’s cognitive emotion regulation styles have a positive relationship with violence against women. 
Cost analysis - the desirability of natural delivery and caesarean section with decision tree model
Get PDFObjective: This article deals with the cost-benefit analysis of natural childbirth and caesarean section with decision tree model.
Methods: This is a practical study in which 644 cases of natural and cesarean births (including 317 natural births and 327 cesarean births) were extracted and included in the relevant list. Then mothers who had been at least 3 months after giving birth were included in the study. The data was collected using the researcher's checklist and EQ-5D-3L structured questionnaire by the researcher. SPSS 26 and R Core Team (2021) software were used to perform the analysis. Results: Natural childbirth was more prevalent for pregnant women compared to cesarean delivery. which had a lower cost (26980930.90±16603206.35 Rials vs. 48883938.59 ± 6126709.15 Rials) and better utility (86.91± 4.353vs. 64.16±7.348) for all evaluated outcomes. Conclusions: It is necessary to control and manage cesarean section in cases without clinical indication. Also, other low-cost and easy-to-access strategies should be carried out for the awareness of mothers and cultural and legal foundation in the field of promoting natural childbirth
Evalution of the effect of Escitalopram vs. placebo on changing the temperament traits of neuroticism
Get PDFIntroduction: Neuroticism is a personality trait that is most related to the mental health challenges. Escitalopram is the selective serotonin reuptake inhibitors (SSRIS) that are usually used in the treatment of depression and anxiety disorders. The aim of this study was to evaluate the efficacy and safety of escitalopram on improving the temperament traits on the neurotic patients. Methods: In this randomized placebo controlled trial, 172 residents in three hospitals in Ahvaz, Iran were randomly assigned to receive esitalopram 20 mg/daily/ orally (No=86, 29.9 ± 6.4 years with a range of 20 to 48 years old) or placebo (N=86, 29.8+6.3 years, ranged 21-47 years old) for 4 weeks.. At the beginning of the treatment the neuroticism and deoression scores were measured using NEO-60 and HAM-D questionnaires, and the patients were re-evaluated every two weeks during the treatment. The changes of temperament traits of neuroticism and depression in the two groups were analyzed using SPSS software. Results: Administration of escitalopram in the treatment group reduced the neuroticism score 5.84 % and 13.3% after 2 and 4 weeks, respectively, compared with placebo group (P<0.01). The changes in neuroticism temperament traits were not significant in placebo group during 4 weeks (P<0.05). 
Elevated CO2 induced microclimatic flux on the growth and biochemical responses of Arundo donax L.
Get PDFClimate change is becoming a global environmental threat. Recent climate change report of the IPCC,2021 ascertains that Earth’s average temperature will cross 1.5°C by 2040.Carbon dioxide ascend is the major reason for the accelerated levels of global temperature. Increasing levels of CO2 in the atmosphere and their overwhelming effects on climate change warrants immediate strategies for CO2 capture and storage. Carbon offset planting is an effective step in this direction. Arundo donax (Poaceae) is a C3 grass with wider distribution and higher biomass production. It is considered as an excellent bioenergy crop. The present study has been undertaken to assess the CO2 assimilation potential of Arundo donax grown under controlled experimental conditions, with elevated supply of CO2. Both morphological and biochemical changes were periodically monitored to assess their responses to elevated levels of CO2. The standardization studies and experimentation with plants was carried out for 15 days. The average day flux of CO2 attributed by the plant in the treated chamber (-358.57±74.04 ppm) was significant, compared to control (-8.57±20.19ppm) and the results of standardization studies (-77.07±16.83). The respiratory increase of CO2 was negligible
A comparative study of machine learning approaches for proactive cardiovascular disease prediction
Get PDFThe most common cause of death worldwide is cardiovascular disease (CVD), and its prediction is both difficult and crucial in the medical field. Bad eating habits, lack of exercise, cigarette and alcohol use, high blood pressure, elevated fasting, increased blood lipid levels, and being overweight or obese are the main behavioral causes of disease and stroke. Machine learning has emerged as an important tool in making healthcare decisions and predictions from healthcare information. This paper's goal is to evaluate and examine the risk factors for heart disease prediction as well as the different Machine Learning methods put out by different researchers for heart disease classification and prediction. This paper highlights and compares the algorithms and Methodologies used for early prediction of heart disease in order to discover the best technique to control the mortality rate in case of earlier detection of heart disease and adopting some preventive measures