Anatomical variant origin of suprarenal arteries from coeliac trunk development, and its clinical significance

Background: One of the most vascular organ in the body Adrenal gland being highly variant in vasculature and tough to approach, its knowledge needs to be updated regularly. Anatomists, Surgeons and Radiologists will be benefitted with this study and improves the quality of care provided to patients by reducing morbidity and mortality.Methods: This study was done on 48 formalin fixed cadavers (33 males, 15 females) in the department of anatomy, between 2014-2019. Coeliac trunk was skeletonized, and branches traced looking for suprarenal arterial branches.Results: Superior Suprarenal Artery originated from Inferior phrenic artery in 13(27%) cases, and these Inferior phrenic arteries were arising from the Coeliac trunk, and in one (2.03%) case Superior suprarenal artery was arising directly from Coeliac trunk and which had even replaced the Middle Suprarenal Artery. None of the Middle and Inferior Suprarenal Artery came from coeliac trunk.Conclusions: Knowledge of Superior Suprarenal Arterial variations while doing surgeries, and during radiological interventions in and around the lesser sac, and involving the Coeliac trunk helps the clinicians in reducing the morbidity and mortality

A GREEN STRATEGY TO SYNTHESIZE ENVIRONMENT FRIENDLY METAL OXIDE NANOPARTICLES FOR POTENTIAL APPLICATIONS – A REVIEW

Chemical reducing and capping reagents are largely used in synthesizing metal oxide nanoparticles which limits the biomedical applications. Researchers have recently found out the eco-friendly technique of green synthesis which enhances the unique physical and chemical properties of nanomaterials. In this critique, we discuss green route to synthesize metal oxide nanoparticles and its significant applications in various fields of energy and environment, aerospace, medicine, biotechnology, etc.This study arouses to provoke new research design of approach to synthesize nanoparticles for various technological applications. In this review, most of the metal oxides nanoparticles with different plant extract with enhanced properties for its potential applications are discussed which confirms plant extracts as a potential candidate to be used as reducing and capping agent

A Clinico Epidemiological Study on Dermatoses in Preterm Neonates

INTRODUCTION: Maturation of the skin starts at birth with the adaptation to the external environment. To deliver proper skin care it is necessary to know about the characteristics of neonate’s skin and conditions arising from or involving it secondarily. The skin of the preterm neonate is immature, has weaker dermoepidermal attachment which place them at higher risk of systemic dissemination from cutaneous infections. AIM OF THE STUDY: To determine the prevalence of various dermatoses and to detect association between sex, birth weight, gestational age, mode of delivery, consanguinity and dermatoses. METHOD: A cross sectional study of 100 preterm neonates with cutaneous changes born during one year period was examined. RESULTS: 79% of the neonates had physiological changes, 15% had pathological conditions and 6% had both. Among the physiological conditions milia was the most common (77%) followed by epstein pearl (66%), mongolian spot (63%) and others. Pathological conditions were congenital anomalies (5%), ichthyotic disorders, nevi, etc. Lanugo hair, physiological icterus and epstein pearl were more frequent in neonates with ≤ 34 weeks of gestational age. No significant relationship was found between the mode of delivery, consanguinity, parity and any of the common dermatoses observed in our study. CONCLUSION: Although skin changes are common in neonatal period, most of them are benign and transient thus requires no treatment. We should be aware of these dermatoses in order to distinguish them from serious conditions and to assuage parental anxiety

Phase-space characterization of complexity in quantum many-body dynamics

We propose a phase-space Wigner harmonics entropy measure for many-body quantum dynamical complexity. This measure, which reduces to the well known measure of complexity in classical systems and which is valid for both pure and mixed states in single-particle and many-body systems, takes into account the combined role of chaos and entanglement in the realm of quantum mechanics. The effectiveness of the measure is illustrated in the example of the Ising chain in a homogeneous tilted magnetic field. We provide numerical evidence that the multipartite entanglement generation leads to a linear increase of entropy until saturation in both integrable and chaotic regimes, so that in both cases the number of harmonics of the Wigner function grows exponentially with time. The entropy growth rate can be used to detect quantum phase transitions. The proposed entropy measure can also distinguish between integrable and chaotic many-body dynamics by means of the size of long term fluctuations which become smaller when quantum chaos sets in.Comment: 10 pages, 9 figure

Facets of Parenting a Child with Hypoplastic Left Heart Syndrome

The purpose of the study was to conceptualize the needs of parents of young children with hypoplastic left heart syndrome (HLHS) to provide a theoretical framework to inform the development of future parent interventions. Participants were parents and grandparents (n = 53) of 15 young children who had undergone the Sano surgical approach for HLHS. Analysis of recorded and transcribed single interviews with each participant was done as directed by interpretive description methodology. A model of five facets of parenting was conceptualized. These included survival parenting, “hands-off” parenting, expert parenting, uncertain parenting, and supported parenting. The facets of parenting delineated through this study provide a theoretical framework that can be used to guide the development and evaluation of interventions for parents of children with complex congenital heart disease and potentially other life-threatening conditions. Each facet constitutes a critical component for educational or psychosocial intervention for parents

Linear and nonlinear analysis of normal and CAD-affected heart rate signals

Coronary Artery Disease (CAD) is one of the dangerous cardiac disease, often may lead to sudden cardiac death. It is difficult to diagnose CAD by manual inspection of electrocardiogram (ECG) signals. To automate this detection task, in this study, we extracted the Heart Rate (HR) from the ECG signals and used them as base signal for further analysis. We then analyzed the HR signals of both normal and CAD subjects using (i) time domain, (ii) frequency domain and (iii) nonlinear techniques. The following are the nonlinear methods that were used in this work: Poincare plots, Recurrence Quantification Analysis (RQA) parameters, Shannon entropy, Approximate Entropy (ApEn), Sample Entropy (SampEn), Higher Order Spectra (HOS) methods, Detrended Fluctuation Analysis (DFA), Empirical Mode Decomposition (EMD), Cumulants, and Correlation Dimension. As a result of the analysis, we present unique recurrence, Poincare and HOS plots for normal and CAD subjects. We have also observed significant variations in the range of these features with respect to normal and CAD classes, and have presented the same in this paper. We found that the RQA parameters were higher for CAD subjects indicating more rhythm. Since the activity of CAD subjects is less, similar signal patterns repeat more frequently compared to the normal subjects. The entropy based parameters, ApEn and SampEn, are lower for CAD subjects indicating lower entropy (less activity due to impairment) for CAD. Almost all HOS parameters showed higher values for the CAD group, indicating the presence of higher frequency content in the CAD signals. Thus, our study provides a deep insight into how such nonlinear features could be exploited to effectively and reliably detect the presence of CAD

Evaluation of third order nonlinear optical properties of SiO2/PVA-PEG Nanocomposites by Z-Scan Method

23-27SiO2 nanoparticles was synthesized by sol-gel method and polymer nanocomposites by solvo-casting method. XRD and SEM analysis have revealed the size, morphological structure and formation of SiO2/PVA-PEG polymer nanocomposites. The presence of hydrogen bond between SiO2 and PVA-PEG was proved with the help of Fourier Transform Infra Red Spectroscopy (FTIR). Further UV-Vis studies were used to find the optical band gap and linear refractive index. Third order nonlinear optical properties such as two photon absorption, nonlinear refractive index and third order nonlinear susceptibility was evaluated for the title compound using Z-scan method. The estimated nonlinear optical properties of title compound proved the appropriateness of the sample for optical applications

Evaluation of third order nonlinear optical properties of SiO2/PVA-PEG Nanocomposites by Z-Scan Method

SiO2 nanoparticles was synthesized by sol-gel method and polymer nanocomposites by solvo-casting method. XRD and SEM analysis have revealed the size, morphological structure and formation of SiO2/PVA-PEG polymer nanocomposites. The presence of hydrogen bond between SiO2 and PVA-PEG was proved with the help of Fourier Transform Infra Red Spectroscopy (FTIR). Further UV-Vis studies was used to find the optical band gap and linear refractive index. Third order nonlinear optical properties such as two photon absorption, nonlinear refractive index and third order nonlinear susceptibility was evaluated for the title compound using Z-scan method. The estimated nonlinear optical properties of title compound proved the appropriateness of the sample for optical applications

Cut-off Value of Random Blood Glucose among Asian Indians for Preliminary Screening of Persons with Prediabetes and Undetected Type 2 Diabetes Defined by the Glycosylated Haemoglobin Criteria.

AIM: The increased morbidity and mortality due to type 2 diabetes can be partly due to its delayed diagnosis. In developing countries, the cost and unavailability of conventional screening methods can be a setback. Use of random blood glucose (RBG) may be beneficial in testing large numbers at a low cost and in a short time in identifying persons at risk of developing diabetes. In this analysis, we aim to derive the values of RBG corresponding to the cut-off values of glycosylated hemoglobin (HbA1c) used to define prediabetes and diabetes. METHODS: Based on their risk profile of developing diabetes, a total of 2835 individuals were screened for a large diabetes prevention study. They were subjected to HbA1c testing to diagnose prediabetes and diabetes. Random capillary blood glucose was also performed. Correlation of RBG with HbA1c was computed using multiple linear regression equation. The optimal cut-off value for RBG corresponding to HbA1c value of 5.7% (39 mmol/mol), and ≥ 6.5% (48 mmol/mol) were computed using the receiver operating curve (ROC). Diagnostic accuracy was assessed from the area under the curve (AUC) and by using the Youden's index. RESULTS: RBG showed significant correlation with HbA1c (r=0.40, p<0.0001). Using the ROC analysis, a RBG cut-off value of 140.5 mg/dl (7.8 mmol/L) corresponding to an HbA1c value of 6.5% (48mmol/mol) was derived. A cut-off value could not be derived for HbA1c of 5.7% (39 mmol/mol) since the specificity and sensitivity for identifying prediabetes were low. CONCLUSION: Use of a capillary RBG value was found to be a simple procedure. The derived RBG cut-off value will aid in identifying people with undiagnosed diabetes. This preliminary screening will reduce the number to undergo more cumbersome and invasive diagnostic testing

A Review

Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss different types of clinical and nonclinical features that are used to study and analyze the differences between benign and malignant ovarian tumors. Computer-aided diagnostic (CAD) systems of high accuracy are being developed as an initial test for ovarian tumor classification instead of biopsy, which is the current gold standard diagnostic test. We also discuss different aspects of developing a reliable CAD system for the automated classification of ovarian cancer into benign and malignant types. A brief description of the commonly used classifiers in ultrasound-based CAD systems is also given