Volume 11 | Issue 3 |

 Abstract

Background : Diabetes mellitus may cause the lowering of the level of Zn in the body by increasing its excretion and decreasing its absorption from intestines or by excretion from kidneys. The proposed mechanism of action of Zn is that it acts as cofactor for the synthesis of insulin, its storage, and probably its secretion from the pancreas. In type 2 DM, the main factor is insulin resistance which may be increased by Zn deficiency. Aim of study : The prevalence of Zn deficiency in diabetic patients and to discover the relationship of glycemic control with serum Zn levels. Patients and method: A cross sectional study was enrolled 50 patients had diabetes type two to study glycemic parameters in relation to zinc level. The descriptive analysis was done to estimate the prevalence of poor control of blood glucose level, percentage of Zn deficiency. Result : The mean age of our study 49.1�12.3. Sixty five percent had bad glycemic control measured by high HbA1C. forty eight percent of patients had low serum zinc level. There is statically significant in relation of zinc to glycemic indicator patients with high HbA1C had low serum zinc level Conclusion Type two Diabetic patients had poor glycemic control is associated with low Zn levels.

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 Keywords

Diabetes mellitus, Serum zinc, Glycemic indicator.

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Iron is an essential mineral that the body needs to produce haemoglobin, which transports oxygen from the lungs to all of the body's tissues. Iron is primarily stored as ferritin in the liver, spleen, and bone marrow. Foxtail millet (korra), finger millet (ragi/ragulu), barnyard millet (odalu), little millet (sama), and kodo millet are the staple millets of South India. In addition to these 5, South Indians also consume pearl and jowar millet. Millets Contain modifiers (Inhibitors and Enhancers) of iron absorption. By consuming Millets with appropriate cooking techniques and food combinations , bioavailability of iron can be increased .

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MODIFIERS OF IRON ABSORPTION IN SOUTH INDIAN IRON RICH MILLET DIET

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A 30-year-old young female presented to the department with chronic left knee pain. She was diagnosed with bone infarcts based on MRI findings, and whose CT scan that was requested for further diagnostic work showed bilateral hip osteonecrosis et diffuse bilateral bone infarcts. We learned then that the patient was taking oral steroids for years for aesthetic purpose.

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 Keywords

Osteonecrosis, Bone infarct, MRI, Imaging, Edema, Surgery

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Introduction: Parental awareness is the best method to prevent thalassemia in children. Parental knowledge regarding thalassemia helps to improve the quality of life in the children. This study has been undertaken to assess the knowledge regarding thalassemia among parent of under 5-year child in selected hospital Latur. Aim: 1. To assess the knowledge about thalassemia among parents. 2. To co-relate knowledge of thalassemia of parents with demographic variable. Methods and Material: Quantitative research approach was used and descriptive research design control group design was chosen for this study. Nonprobability- Purposive sampling technique was used. The samples were 60 parents having 0-5-year child from the selected areas. Self-administered questionnaire was used to check the knowledge regarding thalassemia among parent of under 5-year child. Results: The study revealed that there was significant association of pretest knowledge with demographic variable that are gender and education qualification and previous knowledge regarding thalassemia. The obtained chi square value that is 9.33 of knowledge with demographic variable that is gender and educational qualification previous knowledge regarding thalassemia were found significant. Conclusion: This study concludes that was there effective in assessing knowledge of the parents regarding thalassemia.

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Keywords: Assess, Knowledge, Thalassemia, Parent, Under 5-year child.

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IoT(Internet of Things) contains a large number of interconnectivity between different systems, giving free access of selected data for development of technology. Implementation of an IoT project is a very difficult task mainly due to large number of devices, various technologies and services that are included in the system. In this paper, we focus on making of Simple Medicine Reminder using Arduino. This paper hence provides information about Components, Connections and Working of Automatic Medicine Reminder.

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 Keywords

medicine, reminder, Arduino, automatic, patient, digital era, machines, loved ones, healthy, fit, ill, time, RTC module, LCD display, Breadboard, Potentiometer, Resistors, Jumper wires, push buttons, pins, digital watches.

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Malicious insider threat attacks signify one of the most destructive threats to networked systems of establishments and companies. There is a unique set of challenges that come with insider threat detection in term of hugely unbalanced data, limited ground truth, as well as behavior drifts and shifts. In this research, we study and evaluate an insider threat detection workflow using supervised learning algorithms. To this end, we study on multiple levels of granularity under realistic condition for identifying not only malicious behaviors but also malicious insider. We evaluate several supervised learning algorithm LR, MN, RF and XG using this workflow. Detailed analyses of widespread insider threat scenarios with different performance measures are presented to facilitate the realistic estimate of system performance. Evaluation results show that the machine learning based detection system can learn from limited ground truth and detect new malicious insider in unseen data with a high accuracy.

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Malicious, insider threat, Supervised learning, ground truth

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This research paper presents analysis of operating system (O.S) used in computers in higher education institutions (HEI). Regular updating and upgrading to higher version of system software is necessary to ensure the data security and helps to avoid security threats. For this research data is collected through online; data is collected for from 81 higher education institutions of Karnataka, India. In this analysis it is observed that most HEIs are not updating technology and training methods in their premises. We also found that most of the institutions where computer science course is not offered they do not aware of open source software and they think that windows is the only operating system available for desktop computers. By this research we found that only few higher education institutions which offer computer science and computer application courses are recently upgrading their systems to higher versions due to syllabus changes, but still upgrading to newer versions of operating system is not properly managed. From the collected data we could analyse that Windows is most commonly used operating system and Linux or Ubuntu is second most commonly used operating system and no other operating systems are used in any higher education institutions in Karnataka University affiliated colleges.

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operating system, windows, Linux, Ubuntu, Security, Higher Education Institutions.

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The main motive of our image classifier is to classify images of skin cancer, such as basal cell carcinoma, squamous cell carcinoma, melanoma and so on, using Machine Learning algorithms and Convolutional Neural Network models. This model can recognize images based on previously trained images and co- relate the image to the closest form of skin cancer. Classification is a process of categorizing a given set of data into classes, It can be performed on both structured or unstructured data. Image classification is a widely used method for categorizing things, and one area where it's particularly popular is in identifying different types of skin cancer. Skin cancer is a very serious form of cancer that is causing more deaths as people don't always know the symptoms or how to prevent it. The severity of the cancer depends on the type of skin cancer. This research project uses a dataset called HAM10000, which contains over 10,000 images. When creating a model to classify these images, using data augmentation helps the model learn more distinctive characteristics and features than not using data augmentation.

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Image Classification, Convolutional Neural Networks, AutoKeras

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Invasive Cervical Cancer (ICC) is the fourth most common cancer and a leading cause of death among women globally. Cervical cancer remains to be one of the public health concerns in India. The increased awareness about the disease and diagnostic measures especially conventional cytology screening programme in many developed countries has effectively brought down the incidence rate of cervical cancer in many parts of the west. As per the WHO reports, effective primary (HPV vaccination) and secondary prevention approaches (screening for, and treating pre-cancerous lesions) are important for reducing the burden of cervical cancer among women. The recent statistics by National Family Health Survey (2019-2021) is alarming as only 1.9% of women aged 30-49 years have undergone basic cervical cancer screening. This paper looks at the risk factors, signs and symptoms, incidence rate, vaccinations, national policies and programmes and suggestive measures to reduce the occurrence of cervical cancer and related mortality.

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Invasive Cervical Cancer (ICC) is the fourth most common cancer and a leading cause of death among women globally. Cervical cancer remains to be one of the public health concerns in India. The increased awareness about the disease and diagnostic measures especially conventional cytology screening programme in many developed countries has effectively brought down the incidence rate of cervical cancer in many parts of the west. As per the WHO reports, effective primary (HPV vaccination) and second

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Abstract: This article aims to analyse India's post-9/11 foreign policy towards Afghanistan. The 9/11 attacks heralded a new era in world politics, but the US-led military involvement that followed in Afghanistan gave India a much-needed chance to rebuild diplomatic relations with Kabul. Since then, India has maintained a cautious position towards Afghanistan by depending more on assistance-driven foreign policy measures than on military intervention in the country's destabilised environment. However, given that India had to close its embassy and consulates in Afghanistan in August 2021 when the Taliban reclaimed control of the nation, the issue still remains as to the extent to which India has been able to carve out a strategic space for itself in Afghanistan. Or, has India's strategy relied too heavily on soft power, preventing it from taking advantage of the opportunity presented by the fall of the Taliban government in late 2001?

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 Keywords

India, Soft-power

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