Assessment of gestational diabetes mellitus development in correlation with elevated first trimester serum uric acid levels

Background: More than 10% of pregnancies in the world are affected with gestational diabetes mellitus (GDM), making it a prevalent pregnancy complication. The goal of this research was to examine whether or not higher serum uric acid levels in the first trimester of pregnancy are associated with an increased risk of developing GDM.Methods: The study was conducted on 56 first-trimester pregnant females at risk of GDM attending the outpatient clinic of the S. S. institute of medical sciences, Davanagere. All cases underwent estimation of uric acid levels <15 weeks, 24 to 28 weeks, and oral glucose challenge test (OGCT) at 24 to 28 weeks.Results: In our study, among 56 pregnant women, 17 (30.3%) developed GDM. Of these 12 women (70.6%) with GDM had higher uric acid levels and 5 women (29.4%) with GDM had normal uric acid levels. Uric acid levels were higher in women with a higher BMI.Conclusions: GDM development is significantly correlated with elevated serum uric acid levels in the first trimester. Early interventions by dietary and exercise regimes in these patients can reduce the maternal and neonatal complications

Natural Language Processing Semantical and Syntactical Analysis for English

Natural language is to facilitate the user to exchange the ideas among people. These ideas converge to form the "meaning" of an utterance or text in the form of a series of sentences. The meaning of sentences describes as semantics. The input/output of a NLP can be a written text or a speech. There are two major components of natural language processing, namely: natural language understanding which describes mapping of given input in the natural language into a useful representation and the other is natural language generation which produce natural language as output on basis of input data as text. This paper deals with natural language understanding mainly on semantic

N-Square Approach For Lossless Image Compression And Decompression

There are several lossy and lossless coding techniques developed all through the last two decades. Although very high compression can be achieved with lossy compression techniques, they are deficient in obtaining the original image. While lossless compression technique recovers the image exactly. In applications related to medical imaging lossless techniques are required, as the loss of information is deplorable. The objective of image compression is to symbolize an image with a handful number of bits as possible while preserving the quality required for the given application. In this paper we are introducing a new lossless encoding and decoding technique which even better reduces the entropy there by reducing the average number of bits with the utility of Non Binary Huffman coding through the use of N-Square approach and fasten the process of searching for a codeword in a N-Square tree, we exploit the property of the encoded image pixels, and propose a memory efficient data structure to represent a decoding N-Square tree. Our extensive experimental results demonstrate that the proposed scheme is very competitive and this addresses the limitations of D value in the existing system by proposing a pattern called N-Square approach for it. The newly proposed algorithm provides a good means for lossless image compression and decompression

Study on different types of sensors and Machine Learning Algorithms used for Surveillance Automobile System

A broad range of modern technologies is used for surveillance as well as security of passengers in automobiles. These technologies include face identification, fingerprint identification, Iris identification, and speaker recognition. Among these face recognition and fingerprint recognition are most commonly used for the surveillance of the vehicle. The demand for face identification in automobiles is increasing as it serves better than that fingerprint technology. The face identification system involves both face recognition and face detection. Researchers have tried to implement a face recognition system in automobiles to detect facial features from a captured image using different machine learning algorithms. This will prevent an unauthorized person to enter the car and will lock the ignition system until and unless the person is recognized. This paper gives a brief review on different types of sensors combined with processing unit and different types of machine learning algorithms used for the vehicle security and tracking system using different technologies

Sciatic nerve endometriosis – The correct approach matters: A case report

Endometriosis is a chronic inflammatory condition affecting nearly 10–15% of women of reproductive age and most frequently occurs in the pelvis. Extrapelvic endometriosis leading to sacral neuropathy is rare. A 29-year old woman, para 1 (vaginal delivery 8 years previously), presented with worsening right hip and buttock pain radiating to the right leg, resulting in limping and other gait changes due to delayed diagnosis and treatment. A diagnosis of sciatic nerve endometriosis was made based on both clinical and imaging findings. The final diagnosis was confirmed on histopathological examination. Transgluteal excision of the sciatic nerve with concomitant laparoscopy for exploration of the pelvic part of the sciatic nerve and excision of the pelvic endometriosis were undertaken. The operating team included a gynaecologist, an orthopaedic surgeon and a neurosurgeon. Postoperative recovery was uneventful and physiotherapy was started. Pain and gait improved. Endometriosis of the sciatic nerve should be suspected if a patient complains of cyclical sciatica. Magnetic resonance remains the imaging modality of choice. This case report illustrates the benefit of a multidisciplinary approach

Comparative study of wind and ice loads on telecommunication towers in hilly terrain

Telecommunication structures are usually defined as steel lattice towers on which they mount microwave dish antennas. These are slender, tall, highly optimised structures and the loading conditions that control their performance are extreme cold, snowfall, and strong winds. Strong winds combined with ice accumulation on the structure's members and dishes are the primary reasons of collapse. This comparative study is to investigate the effect of ice loads combined with wind load analysis of triangular tower configuration comprising of height 60m located in hilly terrain (specially dealt with cold region) having wind zones 39mps and 55mps. By referring specialized standards for analysis of lattice towers, reduction of wind load shall be considered when ice loads are accounted for analysis. Initial design is performed for full wind load of the tower configuration through space truss analysis using STAAD.Pro V22 software and same is checked with combined wind and ice loads as per appropriate standards. A comparison statement is derived on effect of ice loads on analysis of structure – leg forces, bracing forces and deflection for tower configuration considered in parametric study

Philanthropy for Impact in Karnataka

Designed as a development brief on Karnataka, this paper provides a comprehensive snapshot of the state's progress on economic, social and environmental parameters. The paper highlights Karnataka's development performance vis-a-vis other Indian states in the following focus areas: Education, Health, Nutrition, WASH, Livelihood, Environment and Women Empowerment. Apart from examining trends, gaps, assets and intra-state disparities, the paper also provides a glimpse of the solution ecosystem in the state as well as development funding flows from various quarters, including government and (CSR). The paper aims to provide philanthropic funders an overview of Karnataka's development, most prominent gaps across the state and districts, areas for collaboration and models that can be emulated

Genotype AA of ACE2 G8790A (rs2285666) Has Protective Potential Against COVID-19 Disease Severity

Background: SARS-CoV-2 virus uses angiotensin converting enzyme 2 (ACE2), a key enzyme of the renin angiotensin system (RAS) as the functional receptor for cell fusion and induction of infections in the respiratory system. Functional ACE2 gene polymorphisms may lead to RAS imbalance and are associated with COVID-19 susceptibility and severity. ACE2 G8790A (rs2285666), a splice region variant, is well characterized in various populations across the world. In the present study, the role of ACE2 G8790A (rs2285666) variant as risk predictor for severity of COVID-19 infection was investigated.Materials and methods: One-hundred COVID-19 subjects were included in the study and divided into: subjects with a history of severe infection and ICU-admitted (Group 1) and subjects with mild to moderate COVID-19 infection (Group 2). Genotype analysis for rs2285666 of ACE2 was performed using polymerase chain reaction and restriction fragment length polymorphism (PCR-RFLP) method.Results: The distribution of ACE2 G8790A (rs2285666) genotypes were GG 62%, GA 18%, and AA 20% in Group 1 and GG 34%, GA 14%, and AA 52% in Group 2, respectively. The A allele of rs2285666 (p≤0.001; OR=3.4; 95% CI=1.89–6.107) were less frequent in Group 1 as compared to Group 2. Also, a statistically significant difference was found between severity of COVID-19 infection with age and comorbidities such as diabetes, hypertension, chronic kidney disease, but not gender.Conclusion: Our findings suggest the possibility of a protective mechanism of the AA genotype of ACE2 G8790A (rs2285666) variant against COVID-19 disease severity.Keywords: COVID-19, ACE2 gene, renin-angiotensin system, genetic association, rs2285666, sanger sequencin