An Empirical Investigation of Going Public Decision of Indian Companies

This paper examines the determinants of the going public decision of the Indian companies. A probit regression model is used to analyze the influence of fundamental financial data of Indian companies on their going public decision. The size, profitability, age and leverage emerged as the significant determinants of going public decision of Indian companies. The statistically insignificant relationship between the financing needs and likelihood of an IPO found in our study is similar to the Pagano et al.,1998 and contrary to the findings of several other studies done on same issue.Initial Public Offerings; Going public decision; emerging markets; India

Demand Forecasting of Spare Parts of Automobiles using Gaussian Support Vector Machine

Reordering motor vehicle spare parts for the purposes of stock replenishment is an important function of the parts manager in the typical motor dealership. Meaningful reordering requires a reliable forecast of the future demand for items. Production planning and control in remanufacturing are more complex than those in traditional manufacturing. Developing a reliable forecasting process is the first step for optimization of the overall planning process. In remanufacturing, forecasting the timing of demands is one of the critical issues. The current article presents the result of examining the effectiveness of demand forecasting by time series analysis in auto parts remanufacturing. A variety of alternative forecasting techniques were evaluated for this purpose with the aim of selecting one optimal technique to be implemented in an automatic reordering module of a real time computerized inventory management system

An SDS Modeling Approach for Simulation-Based Control

We initiate a study of mathematical models for specifying (discrete) simulation-based control systems. It is desirable to specify simulation-based control systems using a model that is intuitive, succinct, expressive, and whose state space properties are relatively easy computationally. We compare automata-based models for specifying control systems and find that all systems that are currently used (such as finite state machines, communicating hierarchical finite state machines (FSM), communicating finite state machines, and Turing machines) lack at least one of the abovementioned features. We propose using sequential dynamical systems (SDS) - a formalism for representing discrete simulations - to specify simulation-based control systems. We show how to adapt the standard SDS model to specify cell-level controllers for a generic cell. For reasonable flexible manufacturing cells, the SDS-based specification has size polynomial in the size of the cell, while in the worst case the FSM-based specification has size exponential in the size of the cell

An SDS Modeling Approach for Simulation-Based Control

We initiate a study of mathematical models for specifying (discrete) simulation-based control systems. It is desirable to specify simulation-based control systems using a model that is intuitive, succinct, expressive, and whose state space properties are relatively easy computationally. We compare automata-based models for specifying control systems and find that all systems that are currently used (such as finite state machines, communicating hierarchical finite state machines (FSM), communicating finite state machines, and Turing machines) lack at least one of the abovementioned features. We propose using sequential dynamical systems (SDS) - a formalism for representing discrete simulations - to specify simulation-based control systems. We show how to adapt the standard SDS model to specify cell-level controllers for a generic cell. For reasonable flexible manufacturing cells, the SDS-based specification has size polynomial in the size of the cell, while in the worst case the FSM-based specification has size exponential in the size of the cell

Energy Optimization of ZigBee Based WBAN for Patient Monitoring

AbstractThis paper proposes an energy efficient wireless telemonitoring scenario of cardiac patients through ZigBee, based on variable duty cycle being rendered to sensors. In an intra hospital telemedicine scenario, Electrocardiogram (ECG) signals of patients are acquired through ECG sensor nodes having transmission capability and these ECG signals are received by Personal Digital Assistant (PDA) kept at nursing station through ZigBee network. ECG signals are further transmitted to Doctor's PDA. If the duty cycle is varied as per the load or number of active sensors, total energy consumed in idle mode can be avoided and total energy consumed by sensors is reduced hence increasing total network lifetime. This paper, comparatively analyzes the energy efficiency of ZigBee sensors with different percentage of duty cycle on the basis of energy consumption parameter under variable load conditions. The matrices used in performance evaluation are energy consumption in transmit mode, energy consumption in received mode and energy consumption in idle mode using Qualnet 5.0.2 simulator

Analysis of serum leptin levels as a biomarker in metabolic syndrome in type 2 diabetic patients in Okhla industrial area

Background: Metabolic syndrome is a progressive disorder which includes a wide array of disorders i.e. central obesity, hypertension, dyslipidemia, hyperglycemia, and insulin resistance. In patients with metabolic syndrome there is an increased risk of mortality due to coronary heart disease, stroke, vascular dysfunction etc. Obesity is one of the most crucial epidemics of modern times and hormone leptin plays an important role in regulation of body weight and energy balance.Methods: A total of 355 individuals were selected from the OPD, Department of general medicine at ESIC hospital, Okhla and it comprised of 196 males and 159 females suffering from type 2 diabetes mellitus with metabolic syndrome. The data was collected over a year i.e. June 2018 to July 2019. After baseline clinical and anthropometric evaluation, Fasting Blood Sugar (FBS), Post Prandial Blood Sugar (PPBS), lipid profile, Insulin (fasting), and leptin levels of the patients were analyzed.Results: Blood sugar fasting, blood sugar post prandial, lipid profile, leptin and insulin levels were increased significantly in female patients as compared to male patients with type 2 diabetic patients and metabolic syndrome.Conclusions: Based on the study results, it was found that leptin correlate significantly with metabolic syndrome and could be used as a biomarker for the early detection of the disease

Functional and radiological outcomes of intertrochanteric fractures treated with proximal femoral nail

Background: Hip fracture is one of the most invalidating diseases affecting geriatric populations and in fall related fractures, they lead to most severe morbidity and mortality. Their surgical treatment allows stable fracture fixation which allows the early weight bearing. Many devices have been developed, yet mechanical failures still occur. The aim of this study was to assess the functional and radiological outcomes of intertrochanteric fractures treated with proximal femoral nail.Methods: 46 patients with intertrochanteric fractures fixed with proximal femoral nail were assessed. Functional outcome was measured by Harris hip score (HHS) and lower extremity functional scale (LEFS) and radiological outcome was measured by tip apex distance (TAD), any changes in neck shaft angle, neck length and the offset as compared to uninjured hip.Results: The tip apex distance on the postoperative X-ray was found to be 22.02±2.499 mm, change in the neck length as compared to the uninjured hip was found to be 1.507±1.1808 and change in the offset and neck shaft angle was 1.470±1.0126 and -1.602±1.5992 respectively. The LEFS was found to be 70.63±6.584 whereas the HHS was found to be 90.35±7.593Conclusions: With the increase in TAD the functional and radiological outcome worsens. It was also seen that the cutoff of 25 mm stands true in predicting the outcome of the patients with PFN in intertrochanteric fractures. Hence, the TAD should be routinely measured and if found more than 25 mm then proper precautions like delayed weight bearing may be advised

Energy Constrained Dominating Set for Clustering in Wireless Sensor Networks

Using partitioning in wireless sensor networks to create clusters for routing, data management, and other protocols has been proven as a way to ensure scalability and to deal with sensor network shortcomings such as limited communication ranges and energy. Choosing a cluster head within each cluster is important because cluster heads use additional energy for their responsibilities and that burden needs to be carefully passed around. Many existing protocols either choose cluster heads randomly or use nodes with the highest remaining energy. We introduce the energy constrained minimum dominating set (ECDS) to model the problem of optimally choosing cluster heads with energy constraints. We propose a distributed algorithm for the constrained dominating set which runs in O(log n log Δ) rounds with high probability. We experimentally show that the distributed algorithm performs well in terms of energy usage, node lifetime, and clustering time and, thus, is very suitable for wireless sensor networks

PERFORMANCE EVALUATION OF C.I. ENGINE WITH COTTON SEED OIL

The paper describe the comparative performance of single cylinder diesel engine with direct use of cotton seed oil methyl ester and preheated condition at variable temperature such as 50, 70 and 90oC.The properties such as viscosity, flash point, pour point were experimentally measured of COME, thus obtained are comparable with ASM biodiesel standards. The COME has been tested in single cylinder four stroke diesel engine coupled with rope brake dynamometer, such as BSFC, BTE, B.S.E.C. are calculated and exhaust gas temperature were measured. The experiment was carried out varying load at constant speed. The results revealed that preheating COME up to 90oC at higher load lead to increase in brake thermal efficiency is 2 % as compared to diesel fuel and brake specific fuel consumption increases at higher load as compared to diesel fuel. There is no significant change found in brake power where as exhaust gas temperature of all preheated biodiesel COME is high and break specific energy consumption required to preheat COME is high as compared to diesel. However, the optimum conditions for biodiesel production are suggested in this paper. A maximum of 76% biodiesel was produced with 20% methanol in presence of 0.5%pottasium hydroxide

Double trouble: hoarseness and Horner’s after supraclavicular brachial plexus block

Supraclavicular brachial plexus block is a popular procedure for surgeries of the upper limb. Although separate instances of Horner’s syndrome and recurrent laryngeal nerve palsies have been previously reported with this approach and one combined incidence has been reported following an interscalene approach, a combined incidence following a supraclavicular approach has not been previously documented. A 21-year-old male patient, who presented with a laceration and suspected vascular injury over his right palm, had a supraclavicular block placed with a tourniquet inflated to minimise bleeding. He developed Horner’s syndrome and hoarseness of voice in the immediate postoperative period. There was complete resolution of symptoms after eight hours. The presence of an external force in the form of a tourniquet may influence the spread of the local anaesthetic due to compressive effects on the axillary fascial sheath. However, further studies are required to prove this.Keywords: combined incidence, Horner’s syndrome, recurrent laryngeal nerve palsy, supraclavicular brachial plexus bloc