A study to Assess the Effectiveness of Structured Teaching Programme on Knowledge regarding Type-1 Diabetes Mellitus among Children with Type-1 Diabetes Mellitus in selected hospitals, Coimbatore

The education programme regarding type-1 diabetes mellitus among children with type-1 diabetes mellitus plays a vital role to improve the children knowledge regarding type-1 diabetes mellitus and it would save the child from diabetic complications. Education programme regarding type-1 diabetes mellitus is essential to improve the life style of the children. The aim of the study was to assess the effectiveness of structured teaching programme on knowledge regarding type-1 diabetes mellitus among children with type-1 diabetes mellitus in Pediatric Endocrinology OPD in Kurinji hospital, Coimbatore. Data was collected by using a structured questionnaire on various aspect of knowledge regarding type-1 diabetes mellitus among children with type-1 diabetes mellitus. The content validity was obtained from 6 experts and reliability of tool was found to be 0.67 for knowledge respectively. Pilot study was conducted at Pediatric Endocrinology OPD in Kurinji hospital, Coimbatore for a period of one week with 5 children. After pilot study the researcher proceeded to conduct the main study. A written permission was obtained from Kurinji hospital and the main study was done for a period of 4 weeks. Thirty children were selected (n=30) and pre-test knowledge was assessed by using structured questionnaire. After pre-test the group received Structured Teaching Programme and interpreted the information from programme and their doubts were clarified by the researcher. By the end of II week, post-test was conducted by using the same tool. The demographic variables were tabulated by using frequency distribution and the level of knowledge were tabulated by using descriptive and inferential statistics. The effectiveness of Structured Teaching Programme on knowledge were analyzed by using paired t test. It was found that the values were statistically significant at 5% level. An association between the level of knowledge with selected demographic variables such as gender, type of family, place of residential area, education of the mother, education of the father, family history of diabetes mellitus was calculated by using ‘Chi square test’. The results showed that there is a significant association between the type of family and level of knowledge regarding type-1 diabetes mellitus among children with type-1 diabetes mellitus. The result of the study revealed that the structured teaching programme is an effective tool for children to improve their knowledge regarding type-1 diabetes mellitus among children with type-1 diabetes mellitus in Pediatric Endocrinology OPD in Kurinji Hospital. Coimbatore. CONCLUSION: Children are major consumers of health care. Care of children with diabetes differs from that of adults. Children always need special care to survive. The results of this study showed that Structured Teaching Programme regarding type-1 diabetes mellitus improves knowledge level of the children with type-1 diabetes mellitus. Education regarding the disease process, self blood sugar monitoring, self administration of insulin injection, dietary management and prevention of short-term, long-term complications should enrich their skills and knowledge to manage their disease safely and effectively to minimize the long-term complications

AN INTEGRATED ANIMAL HUSBANDRY LIVESTOCK MANAGEMENT SYSTEM

Agriculture is the main source of income in countryside areas. Animal such as cow, buffalo, sheep, goat play an important role in life of rural and source of income. A Lot of farmers are now tormenting from different diseases and increase breeding cost. In modern era, compact and simple device has made animal monitoring increasingly attractive. However animal heat detection is still a complicated and inconvenient method. A complete integrated information and Communication Technology is described to design and characterize wearable collar monitoring device for Animal monitoring system and also identify the animal health, heat stress and fertility for Artificial insemination during the livestock Monitoring. A wearable collar based device with sensors wear to a neck of the animal is designed in helping user to better manage the animal’s dynamic information retrieving and analysing over a wireless network. Farmer can monitor animal condition at distance via wireless communication and take timely actions in case of emergency.  Cloud based frame work has been proposed for livestock Animal Husbandry which with be beneficial IoT healthcare solution

A Comprehensive Review on Artificial Intelligence Techniques for Covid-19 Pandemic

The pandemic situation due to the emergence of Covid-19 presents various problems physically, economically and mentally for the individuals world-wide, therefore faster solutions with wider access is essential to solve the problems which aids as a support to the healthcare. This is made possible through the incorporation of Artificial Intelligence (AI) technology to handle the situation of pandemic. This paper aims to present a comprehensive re-view of the applications employed using AI for the problems faced during Covid-19 pandemic. The AI applications involved in screening, predicting, forecasting, neighborhood contact tracing and drug discovery of Covid-19 are addressed in this review. This review also presents detailed working of AI algorithms in each application. This paper helps the researchers with vivid information of AI applications of Covid-19 pandemic

Analysis of Security methods in Internet of Things

Internet of Things (IoT) is a new revolution for the internet. IoT is to enable things to be connected anytime, anyplace, with anything and anyone ideally using any path/network and any service. In addition, the Internet of Things can be providing variety applications via convergence with other technology such as machine-to-machine, Wireless Sensor Network, and Web technology. In this paper describes the analysis of security methods in the area of IoT and also describes a protocol which combines zero knowledge proof and key exchange algorithm to provide secure and authenticated communication that can be applied in IoT environment. DOI: 10.17762/ijritcc2321-8169.16044

IDENTIFICATION OF VARIOUS DEFECTS IN PHARMACEUTICAL TABLETS USING IMAGE PROCESSING TECHNIQUES

  Objective: Our aim is to identify the damaged tablets from the manufacturing line using image processing techniques and remove them before packaging.Methods: The various problems posed during inspection are broken tablets, corner chips, black or other color spots in tablets, empty blisters (without one or more tablets or capsules), foreign particles/color variation in the tablets/capsules, improper sealing, etc., Image processing techniques will be used for defect detection.Results: Tablets are available in packed forms that are usually transparent, semi-transparent or opaque. Euclidean distance was employed for detecting defects, during testing that had a similarity of 100 for tablets with no defects, for defective blisters had similarity ranging from 98 to 41. Empty blisters had a similarity of 0 on comparing with trained images.Conclusion: Similarity measuring based technique can accurately detect defects in the pharmaceutical tablets, hence can be adopted for removing such blisters from the manufacturing line itself

Antibiotic susceptibility pattern of organisms causing surgical site infection

Background: Approximately 30-50% of antibiotic use in hospitals is now for pre-surgical prophylaxis. Selection of antibiotics for prophylaxis should be based on its activity against expected bacteria at the desired surgical site. Appropriate antibiotic prophylaxis can reduce the risk of postoperative morbidity and mortality. Abuse of antimicrobials increases the cost of treatment and supports the emergence of resistant bacteria. This study was undertaken with the primary objective of to test the antibiotic susceptibility pattern of organisms causing SSIs.Methods: A descriptive study was carried out in general surgical wards of KR hospital, Mysore for a period of 18 months (2015-2016). The relevant data was collected from the case sheets of patients who were diagnosed with SSI. Pus samples were collected, and culture-sensitivity was done. Collected data were analysed using appropriate statistical tests.Results: A total of 263 study subjects including both males and females were enrolled in the study. Out of 263 pus samples 92% were culture positive. The most common organisms causing SSI were E. Coli-ESBL (n=73) and MRSA (n=44). Gram-negative organisms were highly resistant to β-lactam antibiotics and Gram-positive organisms were resistant to cotrimoxazole, erythromycin, clindamycin, cefoxitin and ciprofloxacin.Conclusions: Good hygienic measures should be followed by the patients and health-workers. A revision of hospital antibiotic policy according to the local antibiotic susceptibility pattern is recommended

Management of cervical heterotopic pregnancy with inevitable miscarriage

The objective is to report a case of successful treatment of heterotopic cervical pregnancy resulting from IVF–ICSI conception. Case report from Amrita Institute of Medical sciences: a tertiary care referral hospital. A 47-year-old Primigravida, diagnosed with heterotopic cervical pregnancy at 6 weeks of gestation, presented with significant first trimester vaginal bleeding. Under IV sedation, Transvaginal ligation of descending cervical branches of the uterine arteries arrested the bleeding. The cervical pregnancy was successfully aborted with minimal bleeding and the intrauterine pregnancy was successfully maintained till 32 weeks, after which she required emergency preterm LSCS in view of Severe preeclampsia superimposed on chronic hypertension a non-reassuring non-stress test (NST). The intervention applied maybe used in treatment of heterotopic cervical pregnancy in a low resource setting to control the bleeding

A Novel Approach for the Design of Controllers with Interleaved Boost Converter

Themomentous increase in exigency of electric energy is forced us to find various source of generations like solar, wind, hydraulic and clean energy like fuel cell. Low cost, high efficiency, compactness, portability and environmentally clean energy has enhanced the research on fuel cell. One of the factor which affects the life time of the fuel cell is ripple content presents in the current. In order to supply high voltage and low current applications, fuel cell is used to integrate with boost converter. But to improve the performance and lifetime of fuel cell, interleaved boost converter is employed. Also to supply for constant load the output voltage has to be maintained at a particular value. To attain this controllers are exploited. The conventional PI controller and smith predictive controller are designed for fuel cell fed interleaved boost converter in order to track the output voltage and to improve the transient time.The results depict the validity of the design procedure and the potential of the proposed method

Application of MFFC and Edge Detection for Remote Driven Vehicles through Matlab

oai:ojs.portalgaruda.org:article/159Speech recognition is a rapidly emerging technology in Human Computer Interaction HCI. It has many applications as we use it from search engines to the device control it serves many areas we interact every day from dawn to dusk. Along with the uses we have many limitations in speech processing such as Language barrier, Accent and Noise, so to implement the speech processing we have many challenges. To enable the advantages of this speech processing most of the leading software companies like Apple, Microsoft and Google are continuously evolving their speech enabled applications. The speech processing eases the physically challenged people’s interaction with the devices and makes them productive. The Idea of the automatically driven cars is introduced by Google and Audi, but they are not acceptable in most of the cases because of lacking trust in current technology. Thus we here worked on the remote driven vehicle in a more secured method using the Mel Frequency cepstral Coefficient. The secure driving of the vehicle can be ensured by the remote driver. This technique is very rapid and more reliable for the speech detection thus the remote driver can use the MFCC and the video from the vehicle needed to be broadcasted to the remote driver that can be done an IP camera running on a data network. And the instructions can from the remote driver can be sent to the vehicle by an app created with python that connected to a micro controller.  To minimize the limitations in the remote drive the vehicle must be enabled with automatic braking when obstacle approaches which can be done by the Ultrasonic sensors that do the distance estimation. The remote drivers usually have a very limited view of road they drive and they must get the precise edges of the road this can be achieved by processing the stream of images to calculate the edge in Matlab