Sol-Gel Derived Single Layer Zeolite-MgF2 Composite Antireflective Coatings with Improved Mechanical Properties on Polycarbonate

Single layer antireflective coatings with good optical and mechanical properties are difficult to be obtained on temperature sensitive substrates like plastics. This challenge has been taken up in the present study. Single layer MgF2 and for the first time, zeolite 4Å… and zeolite 4Å… - MgF2 composite antireflective coatings were generated by a wet chemical route on flat polycarbonate sheets and characterized for their reflectance, surface roughness, thickness, porosity, surface morphology and scratch hardness by haze measurement. Autoclaving and boiling water treatment under microwave irradiation were used in case of MgF2 sols and zeolite/zeolite-MgF2 coatings respectively. Pure MgF2 coatings deposited after autoclaving of the MgF2 sol yielded a low refractive index of 1.28 and an average reflectance of 1.9% vis-Å -vis 9.7% reflectance for an uncoated polycarbonate substrate over the wavelength range of 400-1100 nm. Single layer zeolite coatings after a brief treatment in boiling water under microwave irradiation yielded a reflectance of 5.1%. A composite zeolite-MgF2 coating exhibited a reflectance of 2.8% and the percentage change in haze after crockmeter testing in case of the composite coating was lower than that of a pure MgF2 coating. This implied that the composite layer had improved mechanical properties combined with good optical properties and could be suitable for practical applications

Correlation of HbA1c levels in third trimester with maternal and perinatal outcome in patients with gestational diabetes mellitus

Background: Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders complicating pregnancy. GDM occurs in 2-22% of pregnancies depending on the diagnostic criteria and the epidemiologic characteristics of the population. Elevation of HBA1c have strong correlation with risks of adverse maternal and neonatal outcomes. Aims and objective were to determine the HbA1c levels and to evaluate the maternal and neonatal outcomes in women with HbA1c <5.8% and >5.8% Methods: A retrospective study at ESIC-PGIMSR from June 2021 to December 2021.All mothers diagnosed with GDM using IADPSG criteria were included. HbA1c measured during the 2nd or 3rd trimester. Cut offs of HbA1c in 3rd trimester was taken as 5.8 according to Versantvoort et al. Maternal and neonatal outcome were assessed among two groups i.e., HbA1c <5.8% the control group and HbA1c >5.8% the case group. Demographic, maternal, and infant data were entered and statistical analysis done using SPSS software. Results: Total GDM mothers diagnosed were 152 out of 1454 pregnancies. Incidence is 10.4%. the 38.8% were of 25-30 years age group and 46% were multiparous.48.6% neonates were male and 50.6% were females. Among women with HbA1c >5.8%- Preeclampsia seen in 11 cases (21%), polyhydromnios in 5 cases (11.6%), hypothyroidism in 6 cases (12%) UTI in 1 case (2.3%) and candidiasis in 2 cases (4.6%) while among women with HBA1c <5.8% preeclampsia seen in 20 cases (18.3%), polyhydromnios in 2 cases (1.8%), hypothyroidism in 14 cases (13%) UTI in 2 cases (1.8%) and candidiasis in 4 cases (3.6%). Among women with HbA1c >5.8%-respiratory distress syndrome in 6 babies (13%), hyperbilirubinemia in 9 babies (18.6%), hypoglycemia 2 (4.6%) and hypocalemia in 2 babies (4.6%), 14 babies had normal course (32.5%) while among women with HbA1c 5.8% Among women with HbA1c >5.8%-respiratory distress syndrome in 13 babies (12%), hyperbilirubinemia in 20 babies (18.3%) and hypoglycemia 3 (2.7%). Conclusions: Optimal control of HbA1c along with lifestyle modification and glycemic control helps to reduce maternal and neonatal complications

A secured and optimized deep recurrent neural network (DRNN) scheme for remote health monitoring system with edge computing

Patients now want a contemporary, advanced healthcare system that is faster and more individualized and that can keep up with their changing needs. An edge computing environment, in conjunction with 5G speeds and contemporary computing techniques, is the solution for the latency and energy efficiency criteria to be satisfied for a real-time collection and analysis of health data. The feature of optimum computing approaches, including encryption, authentication, and classification that are employed on the devices deployed in an edge-computing architecture, has been ignored by previous healthcare systems, which have concentrated on novel fog architecture and sensor kinds. To avoid this problem in this paper, an Optimized Deep Recurrent Neural Network (O-DRNN) model is used with a multitier secured architecture. Initially, the data obtained from the patient are sent to the healthcare server in edge computing and the processed data are stored in the cloud using the Elliptic Curve Key Agreement Scheme (ECKAS) security model. The data is pre-processed and optimal features are selected using the Particle Swarm Optimization (PSO) algorithm. O-DRNN algorithm hyper-parameters are optimized using Bayesian optimization for better diagnosis. The proposed work offers superior outcomes in terms of accuracy and encryption latency while using computational cloud services

Juvenile granulosa cell tumour: a rare clinical entity

Ovarian cancer is the third most common neoplasm of the female genital tract. Based on the cell type of origin, primary ovarian malignancies are classified into surface epithelium, germ cell, and sex cord tumors. Sex cord tumors account for 1% to 2% of ovarian malignancies. They may contain granulosa cells, theca cells, sertoli cells, or fibroblasts of gonadal stromal origin. Granulosa Cell Tumours (GCTs) account for approximately 2-5% of all ovarian tumors and can be divided into adult (95%) and juvenile (5%) types based on histologic findings. GCTs secrete estrogen thus resulting in menstrual irregularities in the affected individual. More serious estrogen effects can occur in various end organs such as uterus resulting in endometrial hyperplasia, endometrial adenocarcinomas and increased risk of breast cancers. Androgen production is also reported but rare and produces virilization in the affected women. Juvenile Granulosa Cell Tumours (JGCTs) are clinically & histopathologically distinct from the GCTs. They are rarely encountered but mostly in youngsters. Surgery is the primary modality of treatment with chemotherapy being reserved for advanced or recurrent disease states. We herewith report an interesting case of JGCT in a young teenage girl.

Local antimagic chromatic number of partite graphs

Let $G$ be a connected graph with $|V| = n$ and $|E| = m$. A bijection $f:E\rightarrow \{1,2,...,m\}$ is called a local antimagic labeling of $G$ if for any two adjacent vertices $u$ and $v$, $w(u) \neq w(v)$, where $w(u) = \sum_{e \in E(u)}f(e)$, and $E(u)$ is the set of edges incident to $u$. Thus, any local antimagic labeling induces a proper vertex coloring of $G$ where the vertex $v$ is assigned the color $w(v)$. The local antimagic chromatic number is the minimum number of colors taken over all colorings induced by local antimagic labelings of $G$. Let $m,n > 1$. In this paper, the local antimagic chromatic number of a complete tripartite graph $K_{1,m,n}$, and $r$ copies of a complete bipartite graph $K_{m,n}$ where $m \not \equiv n \bmod 2$ are determined

Determination of gestational age: correlation between foetal biometry and transverse cerebellar diameter in women with uncomplicated pregnancy

Background: Transverse Cerebellar Diameter (TCD) serves as a reliable predictor of gestational age in foetus and is a standard against which aberrations in other foetal parameters can be compared, especially when the GA cannot be determined by the date of last menstrual period or early pregnancy scan, TCD is one foetal parameter that has remained consistently superior in predicting gestational age in both singleton and twin gestation. Aim of the study was to assess and evaluate the effectiveness of transverse cerebellar diameter by using ultrasonography for determining the gestational age of the foetus.Methods: A cross-sectional study was done in 100 uncomplicated pregnant patients between the 15th week of gestation to term referred from routine antenatal clinic in outpatient and in-patient department of Obstetrics and Gynecology department of Vinayaka Mission Krupananda Variyar medical college and hospital, Salem during study period April 2015-March 2016. TCD is obtained in the axial plane in the cerebellar view i.e. with a slight rotation of the transducer approximately 30° from the conventional thalamic plane where the biparietal diameter is measured using the cavum septi pellucidi, third ventricle and thalami as landmarks.Results: The correlation of transcerebellar diameter (TCD) with that of BPD (bi-parietal diameter) had shown a perfect positive correlation (r = 0.978) and a similar type of correlation was also seen with HC (head circumference) (r = 0.979), AC (abdominal circumference) (r = 0.966), FL (femur length) (r = 0.976) and USG GA (ultrasonogram gestational age) (r = 0.983).Conclusions: In the normally developing foetus, the TCD increases in a linear fashion with advancing gestational age. The data of this study suggest foetal TCD on ultrasound is a reliable predictive biometric parameter of gestational age

Support Vector Machine based Image Classification for Deaf and Mute People

A hand gesture recognition system provides a natural, innovative and modern way of nonverbal communication. It has a wide area of application in human computer interaction and sign language. The whole system consists of three components: hand detection, gesture recognition and human-computer interaction (HCI) based on recognition; in the existing technique, ANFIS(adaptive neuro-fuzzy interface system) to recognize gestures and makes it attainable to identify relatively complex gestures were used. But the complexity is high and performance is low. To achieve high accuracy and high performance with less complexity, a gray illumination technique is introduced in the proposed Hand gesture recognition. Here, live video is converted into frames and resize the frame, then apply gray illumination algorithm for color balancing in order to separate the skin separately. Then morphological feature extraction operation is carried out. After that support vector machine (SVM) train and testing process are carried out for gesture recognition. Finally, the character sound is played as audio output

A classic triphasic pleomorphic adenoma of nasal cavity mimicking as malignancy: a rare case report

Pleomorphic adenoma (PA) is the most common benign tumor of major salivary glands and intra nasal PA is unusual which may be misdiagnosed as malignancy. A 65-year-old female presented with unilateral nasal bleeding and nasal obstruction in right nasal cavity for 6 months. Local examination showed polypoid mass which surgically excised. HPE showed classic triphasic component of epithelial, myoepithelial with cartilaginous stromal elements and pathological diagnosis of PA made. High cellularity of tumor and predominant squamous epithelial component with keratin pearl created diagnostic confusion of malignancy and it confirmed by immune-histochemistry using p63 to demonstrate presence of myoepithelial component. Highlighted this case report for its unusual location and rare triphasic component of tumor tissue with keratin pearl formation which mimic as malignancy