International journal of health sciences
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Modern approaches to increasing the health efficiency of physical training programs for students
Get PDFThis article highlights modern methodological approaches to improving the health effectiveness of physical education programs for students. 
Frequency and peculiarities of localisation of parasagittal meningiomas of the cerebral hemispheres
Get PDFBackground. Meningiomas are benign tumors originating from the cells of the soft and arachnoid membranes of the brain. The study of parasagittal meningiomas is one of the current problems in neurosurgery due to the relatively high prevalence of this type of neoplasm among intracranial tumors. This article provides statistical data on the frequency of meningiomas, localization, size and the presence of perifocal edema. Materials. We conducted a study of 73 patients treated at the neurosurgery department of 1st Clinic of the Samarkand State Medical University. There were 26 (35.6%) male and 47 (64.4%) female patients. Results. Based on our analyses, we have determined that parasagittal meningiomas located in the projection of different areas of the brain, depending on their size, create compression on the relevant centers, causing motor, sensory and mental disorders. The study of the localization and size of parasagittal meningiomas will help to predict the clinical course and choose the appropriate treatment tactics. Conclusions. Thus, perifocal oedema of brain tumors contributes to the patient's survival rate and has a significant impact on the development of neurological symptoms. Two thirds of patients with perifocal oedema needs additional measures in order to reverse the effects of it
Correlation between Glycosylated Haemoglobin and serum lipid profile in patients with type 2 diabetes
Get PDFIntroduction: Dyslipidaemia is one of the major risk factor for cardiovascular disease in Type 2 Diabetes mellitus, characterized by elevated Total cholesterol (TC), Triglycerides (TG), Low density lipoprotein (LDL) and decreased High density lipoprotein (HDL). Haemoglobin A1c (HbA1c) is widely used as an index of mean glycaemia, a measure of risk for the development of diabetes complications and a measure of the quality of diabetes care. The aim of this study was to determine the impact of glycaemic control on lipid profile and to know utility of HbA1c as an indirect indicator of dyslipidaemia. Objectives: To assess the relationship between glycemic control (HbA1c) and serum lipid profile as well as to evaluate the importance of HbA1c as an indicator of dyslipidemia in patients with T2DM. Materials and Methods: The present study is a prospective, observational study which is conducted in the Department of General Medicine at Surabhi Institute of Medical Sciences over a period of 6 months. A total of 65 T2DM patients with dyslipidemia who had visited the hospital. Inclusion criteria: Adults aged above 30 years and having Type 2 Diabetes Mellitus with dyslipidaemia
A narrative review of nutritional status among iraqi adults with type 2 diabetes
Get PDFType 2 diabetes is a global public health problem especially in middle east countries and Iraq has not spared from this pandemic. The prevalence in Iraq. and rank in Middle East. Beside increasing in prevalence- also poor glucose control. Nutrition plays a critical role. This paper narratively review variables that affect reduce the incidence of T2DM in Iraq and affect nutritional status among Iraqi withT2DM. The factors contribute to T2DM were high rates of obesity and overweight, as well as levels of body fat indicate a high prevalence of poor glycemic control. Likewise, levels of physical activity are low among older Iraqis
Use of social media in healthcare management: Opportunities and challenges
Get PDFBackground: In recent years, healthcare workers have become more dependent on social media platforms such as blogs, wikis, and social media sites. However, little research has been done on physicians' perspectives and experiences with social media in hospitals. Using social media to better manage health care data is becoming increasingly common. Despite the massive expansion of studies in this field, little effort has been made to look back at previous work. The purpose of the study clearly tends to examine the advantages and disadvantages of the use of social media for managing health data. Objective: The purpose of the study is to gain a summary of the existing data on the health implications of social media services. Methodology: A literature search was undertaken in PubMed, CINAHL, Cochrane, Google Scholar, and Scopus for all English-language studies published since 2010 that addressed social media use in any way possible for health care and media
Plant immunity: An attempt to comprehend plant defense mechanism
Get PDFImmunity is a term closely affiliated with the normal being of an organism as it puts across a cascade of physiological facets that contributes affirmatively towards the knocking down of the invaded pathogen. It is a widely known and accepted fact that cells associated with the immune system serve as driving force in eliminating the disease causing agent and plants are not exempted from this mechanism but the approach of counteracting a pathogenic contender in plants are quite different from that of higher vertebrates. Several factors of internal and external origin have equally contributed towards the development of plant immunity. However, the role of microbes in conferring immunity to plants cannot be denied and their prominence in accordance with the fortifying the plant system against the invading pathogens have been extensively researched. Responses like systemic acquired resistance and induced systemic resistance have been studied in plants which get triggered in response to various micro invaders of pathogenic and non pathogenic echelon. Several studies claim the role of microbes in instigating either of these responses that in turn gives rise to a cascade of reactions within the plants resulting in plant immunity.
Machine learning used in detection & diagnosis of human diseases
Get PDFOne of the most important topics in society is human health care. It looks to get the best diagnosis of a serious illness so they can get the care they need right away it is possible. Other fields, such as mathematics and computer science, are required to part of the search health as this awareness is often difficult. Function of following new trends is a challenge for these sectors, moving forward common. The actual number of new strategies makes it possible give a broad view that avoids certain features. In this case, we suggest a systematic analysis of human diseases related to machine learning. This paper focuses on existing strategies related to the growth of machine learning in which it is used diagnostics in the medical field to find interesting trends, make unimportant predictions, and assist in decision- making. People often feel it hesitation to go to the hospital or doctor or minor symptoms. However, in many places in some cases, these minor symptoms may cause serious health risks. Like online life advice is easily accessible, it can be a good start for users. 
Leiomyosarcoma metastasis tumor in calvaria: A rare case report and review of the literature
Get PDFThe incidence of a metastatic tumor of the calvaria is uncommon, but it has a considerable impact in the field of neurosurgery. The hematogenous metastatic spread was common in leiomyosarcoma. Calvaria is one of the most uncommon metastatic locations for this type of cancer. A 70-year-old man with a history of rhabdomyosarcoma and thyroid cancer came with a parietal mass that rapidly enlarged, followed by sudden hemiparesis and severe cognitive impairment. Head CT scan revealed a destructive soft tissue mass, indicating a metastatic development and mass effect of tumor pushing the brain parenchymal with slight compression of the right lateral ventricle and midline deviation of 8 mm to the left side. Perioperative embolization was done, and the tumor was effectively excised through extensive excision. Histopathology indicated a malignant spindle cell mesenchymal tumor, indicating leiomyosarcoma. After the operation, the patient's neurological status was stable, and there was no sign of tumor recurrence. Recommendation for managing metastatic calvaria tumor based on histopathological findings is insufficient. The information in this case report is essential for scholarly purposes and the participant gave written informed consent for publication. For the treatment of metastases in the skull, complete excision of osteolytic calvaria lesions is indicated
A histopathological correlative assessment of cytoplasmic staining by aqueous extracts of hibiscus and turmeric with eosin on 70 tissue samples
Get PDFDyes are the substances which are used for imparting color. They are mainly used in food, textiles, paint, leather & printing industries. Dyes are extensively used in histopathology and cytological examination in oral pathology. Hematoxylin and Eosin stains are primarily used for differentiating between cell nucleus and cytoplasm. However, Eosin been a xanthene derivative is synthetic in nature and hence is known to be carcinogenic. Replacement of chemical dyes with natural ones is the need of the hour in this era of global warming and environmental pollution. The aim of the study was to determine the efficacy of aqueous extract of turmeric and hibiscus as a cytoplasmic stain replacing eosin and to formulate a natural staining agent using Turmeric and Hibiscus. Seventy paraffin-embedded tissue blocks were selected.Three sections were made from each block. One section was stained with conventional H&E method (used as control), second section was stained with 10 % aqueous turmeric extract while third section was stained with 75% aqueous hibiscus extract.Tissue were evaluated using following parameters:- Nuclear staining, Cytoplasmic staining, Cell morphology, Clarity of staining, Uniformity of staining and Background staining
A systematic study on crop yield prediction methods using deep learning
Get PDFDNNs (Deep Neural Networks) have estimated agricultural but lack comprehensive analysis of findings. The article gives an overview of the existing literature available in DNNs in predicting agricultural productions. This work’s SLRs (Systematic Literature Reviews) were executed to assess most relevant studies. The searches resulted in 456 relevant studies based on quality assessments of which 44 primary studies were selected for this analysis. This work’s examinations include data sources, key motives, targeted crops, algorithms used and features selected. Predominant usage of CNNs (Convolution Neural Networks) was found in the studies as their performances in terms of RMSEs (Root Mean Square Errors) are the best. One serious issue discovered was the absence of large training datasets which give rise to over fits of data and poor model performances. Since, researches look for gaps in studies; it is beneficial to highlight present issues and potential areas for further researches