Study of risk factors, clinical profile, and outcome in meconium-stained deliveries

Background: The presence of meconium in amniotic fluid is a serious sign of fetal distress which leads to an increase in neonatal mortality. Objective: The objective of this study was to study the risk factors, clinical profile, and outcome of babies born through meconium-stained fluid. Materials and Methods: This prospective observational study was conducted during the period from February 2018 to October 2018 at neonatal unit of a tertiary care hospital. All live babies delivered through meconium-stained liquor were included in this study. Routine investigations such as complete blood count and C-reactive protein were done in all the patients. All the variables were analyzed with the help of the Chi-square test and Fisher’s exact test. Results: A total of 606 meconium-stained amniotic fluid (MSAF) babies were included in the study. Most of the MSAF babies were term, appropriate for gestational age babies. The number of babies delivered through the lower segment cesarean section was 61.7%. Fetal distress was present in 23.2% of the cases. Otherwise, the most common risk factor associated with MSAF was pre-eclampsia (5.9%). A total of 58.2% of babies developed respiratory distress after birth; other morbidities associated were convulsion, hypoxic-ischemic encephalopathy, sepsis, shock, hypoglycemia, and hyperbilirubinemia. In the present study, total mortality in MSAF babies was 12%. Babies who expired had severe meconium aspiration syndrome. Duration of hospital stay was <7 days in 83.9% of the neonates, of which 14% expired and 85% were discharged. All the mortalities in our study except one occurred within 7 days of life. Conclusion: MSAF is associated with significant morbidity and mortality in neonates. Mortality was more in non-vigorous babies and in those who developed severe meconium aspiration syndrome and pulmonary hypertension of the newborn. Other morbidities did not have a strong association with MSAF

Some Contribution of Statistical Techniques in Big Data: A Review

Big Data is a popular topic in research work. Everyone is talking about big data, and it is believed that science, business, industry, government, society etc. will undergo a through change with the impact of big data.Big data is used to refer to very huge data set having large, more complex, hidden pattern, structured and unstructured nature of data with the difficulties to collect, storage, analysing for process or result. So proper advanced techniques to use to gain knowledge about big data. In big data research big challenge is created in storage, process, search, sharing, transfer, analysis and visualizing. To deeply discuss on introduction of big data, issue, management and all used big data techniques. Also in this paper present a review of various advanced statistical techniques to handling the key application of big data have large data set. These advanced techniques handle the structure as well as unstructured big data in different area

Efficacy of Ketamine Co-Induction with Propofol for LMA Insertion in Children

BACKGROUND: Large doses of propofol needed for induction and laryngeal mask (LMA) insertion in children may be associated with hemodynamic and respiratory effects .Co-induction has the advantage of reducing dose and therefore maintaining hemodynamic stability. OBJECTIVES: Use of ketamine lowers the induction dose of propofol (co- induction) producing hemodynamic stability. METHODS/MATERIALS: A prospective, randomized, double-blind, controlled study was conducted in 40 ASA I/II children, age 1-8years. Normal saline, Ketamine 0.5 mg/kg were administered in P (propofol) and PK (propofol-ketamine) group respectively, 2 min prior to administration of the induction dose of propofol. Propofol 2.5 mg/kg given as induction in groups (P and PK), LMA inserted 30s later and insertion conditions assessed. Heart rate and Blood pressure were recorded immediately after propofol bolus, then every min till 2 min after LMA insertion. Recovery was assessed using Steward’s score. RESULTS: 20% of the patient in PK group had MAP fall > 20% compared to 45 % in P group. This difference was not statistically significant and thus ketamine propofol coinduction for LMA insertion produce no better hemodynamic stability compared to propofol alone. ketamine co induction with propofol produced comparably better condition for LMA insertion( 3/ 20) than propofol alone (0/20 ) and significantly reduced the total induction dose of propofol {39 +/- 9.2, ( 3.1 mg/kg)} compared to propofol alone {55.2 +/- 10.4 ,(4.7 mg/kg )} for LMA insertion [p <0.005]. , but this is at the expense of recovery time with PK group (58.7+/- 25) taking significantly longer recovery time compared to P group (44.5 min +/-14.7) {p < 0.05}. CONCLUSION : The result of this study showed that the co-induction with ketamine prior to propofol induction for LMA insertion in children decreases the total dose of propofol used for induction, however this advantage is at the expense of prolonging the recovery time. Ketamine co-induction with propofol showed no better significant hemodynamic stability compared to propofol group

Study of clinical profile of childhood extra pulmonary tuberculosis

Background: Tuberculosis is the second most common cause of death from infectious disease at the global level, being second only to AIDS. Good data on the burden of all forms of TB amongst children in India is not available; most surveys conducted have focused on pulmonary TB. The present study was designed to study clinical profile of various forms of childhood EPTB. Objective of current study was to study clinico-epidemiological profile of various forms of childhood EPTB.Methods: Retrospective analysis of clinical profile of 100 patients of childhood EPTB in the age group of 6 months to 12 years.Results: Age distribution in our study showed that 62% cases falling in the age 0-5 years and 38% cases in 5-12 years (P = 0.041) with male to female ratio of 1.9:1. 96% (P = 0.016) of the patients belonged to the lower socio-economic class (P = 0.01). The distribution of EPTB was - TBME (46%), disseminated TB (21%), pleural effusion (12%), abdominal TB (10%), TB lymphadenitis (7%), Osteoarticular (4%). 28% of the patients had mild to moderate malnutrition (PEM Grade-I,II)  and 46% (PEM Grade-III,IV) were severely malnourished. 66% of the patient were BCG vaccinated & history of  Koch’s contact were present in 28% of the all cases. In CNS tuberculosis, fever was present in 97% followed by altered sensorium & convulsion in 80%, tonic posturing in 60% & abnormal movements in 4% and in most common sign was tonic posturing in 60%, crack pot sign positive in 41%. In abdominal tuberculosis - fever (100%), anorexia (90%), weight loss (80%) abdominal pain (50%) & hepatomegaly was common finding seen in 100% of abdominal tuberculosis.Conclusion: Childhood EPTB is commonly seen in children age more than 1 year, lower socioeconomic class & in severely malnourished. CNS tuberculosis commonly present with fever, altered sensorium, convulsion, abnormal movements while abdominal TB present with fever, anorexia, weight loss & abdominal pain

Enhancing Classification Performance through FeatureBoostThyro: A Comparative Study of Machine Learning Algorithms and Feature Selection

Early-stage prediction of a disease is an important and challenging task. The application of machine learning techniques is playing an important role in this era. Thyroid is one of the chronic endocrine diseases, and approximately 42 million people in India are affected by this disease. This paper presents a comprehensive investigation into the enhancement of classification performance through the novel ‘FeatureBoostThyro’ (FBT) model. The study evaluates various machine learning algorithms, including stochastic gradient descent (SGD), K nearest neighbor (KNN), logistic regression (LR), naive bayes (NB), and support vector machine (SVM), in conjunction with diverse feature selection methods. The research systematically explores the impact of feature selection techniques such as information gain, relief F, chi-square, gini index, forward selection, backward selection, recursive feature elimination, and LASSO on model performance across the chosen algorithms. The analysis reveals notable variations in performance metrics, including accuracy, precision, recall, and F1-score, providing valuable insights into the interplay between algorithm and feature selection. One main contribution of this research is the introduction of the FBT model, which consistently outperforms other models across various feature selection methods, making it a promising tool for addressing complex classification tasks. The findings contribute to a broader understanding of model selection and optimization in machine learning applications. The proposed model undergoes evaluation using two distinct datasets: the primary dataset acquired from Lata Mangeshkar Hospital in Nagpur and the secondary dataset obtained from the UCI dataset

OPTIMIZATION OF MICROWAVE ASSISTED SOLVENT-FREE SYNTHESIS OF SOME SCHIFF BASES

Objective: To optimize microwave assisted solvent free synthesis of Schiff bases of aromatic aldehydes and aromatic amines (ethyl 4-aminobenzoate) by using wetting reagent ð›½-ethoxyethanol. The goal of this study was to investigate the % yields and time required for the completion of reaction for Schiff bases by microwave and conventional conditions.Methods: Schiff bases have been synthesized by condensation of substituted various aromatic aldehyde (.001 mol) with Ethyl 4-aminobenzoate (.001 mol) by two different methods as by conventional method (Heating) &amp; Microwave accelerated synthesis by using wetting reagent ð›½-ethoxyethanol. The reaction time for conventional method and microwave method is in the range of 60-240 min and 10-180s respectively. All the synthesized compounds recrystallized &amp; characterized by IR, NMR, and Mass and element analysis.Results: The simple microwave assisted solvent-free method for the synthesis of Schiff bases using a wetting reagent (ð›½-ethoxyethanol) led to improvement in the yield of all the target compounds with reduction in their reaction byproducts &amp; substantially reduced the overall process time as expected as compare to traditional method. Excellent isolated yields (up to 96%) were attained within short reaction times (typically, 60s) when the reaction was performed under microwaves irradiation.Conclusion: The advantages of this environmentally benign and safe protocol include a simple reaction set-up, high product yields, short reaction times as well as the elimination of side products.Â

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Cloud Computing in VANETs (CC-V) has been investigated into two major themes of research including Vehicular Cloud Computing (VCC) and Vehicle using Cloud (VuC). VCC is the realization of autonomous cloud among vehicles to share their abundant resources. VuC is the efficient usage of conventional cloud by on-road vehicles via a reliable Internet connection. Recently, number of advancements have been made to address the issues and challenges in VCC and VuC. This paper qualitatively reviews CC-V with the emphasis on layered architecture, network component, taxonomy, and future challenges. Specifically, a four-layered architecture for CC-V is proposed including perception, co-ordination, artificial intelligence and smart application layers. Three network component of CC-V namely, vehicle, connection and computation are explored with their cooperative roles. A taxonomy for CC-V is presented considering major themes of research in the area including design of architecture, data dissemination, security, and applications. Related literature on each theme are critically investigated with comparative assessment of recent advances. Finally, some open research challenges are identified as future issues. The challenges are the outcome of the critical and qualitative assessment of literature on CC-V

Electrical conductivity of cellular Si/SiC ceramic composites prepared from plant precursors

Electrical conductivity (sigma_dc) of the cellular Si/SiC ceramic composites has been measured over a temperature range 25-1073 K while the thermoelectric power (S) has been measured over 25-300 K. Remarkably, these cellular compounds developed through biomimetic route - where the ceramic system grows within a plant bio-template retaining the structural intricacies of the native templates - are found to exhibit excellent mechanical, thermal, and electrical properties quite comparable to or even better than those of the systems prepared through conventional ceramic route. The electrical conductivity measured parallel (sigma||) and perpendicular (sigma+) to the growth axes of the native plants, depicts nearly temperature-independent anisotropy (sigma+/sigma||) of the order \~2 while the thermoelectric power is nearly isotropic. The charge conduction across the entire temperature range is found to follow closely the variable range hopping (VRH) mechanism. The conductivity anisotropy appears to be driven primarily by the unique microcellular morphology of the bio-templates which can be exploited in many electrical applications.Comment: 22 pages including 6 figures; pdf only; submitted to J. Appl. Phy