Harinipriya Seshadri

Bio: Harinipriya Seshadri is an academic researcher. The author has contributed to research in topics: Surgery & Somatosensory evoked potential. The author has an hindex of 1, co-authored 1 publications receiving 8 citations.

Somato-sensory evoked potential as a prognostic marker in cervical spondylotic myelopathy.

Abstract: Objective: Methods: To study the use SSEP for predicting surgical outcome of cervical myelopathy.Goals of the study. Cervical spondylosis is a common cause of cervical myelopathy in patients over the age of 50, and its incidence increases with age. Clinical signs and radiological ndings aid in the diagnosis of cervical spondylotic myelopathy. In some cases where clinical presentations are unclear, neurophysiological investigations such as somatosensory-evoked potentials (SSEPs) may be useful for establishing a clinical diagnosis. However, the prognostic value of these investigations is not well-established Single center, retrospective study wherein forty nine patients (mean age of participants was 39.63 years with standard deviation ± 5.75) who had cervical spine surgery for cervical spondylotic myelopathy with documented preoperative time required for somatosensory-evoked potentials (SSEP) were followed for 12 weeks postoperatively. We evaluated the N17 time, P19 time for right and left median nerve and P47 time of right and left tibial nerve and compared it with the MJOA score recovery rate for each period. Methods used to achieve the study goals. It was found that improvement in the SSEP during the e Result: arly decompression period and a good surgical outcome at 12 weeks postoperatively was signicant statistically. Somatosensory e Conclusion: voked potential of median nerve is useful in determining the functional abnormality of the spinal cord. Results/ndings of the study. Conclusions dra Results: Conclusions: wn from the work. Abstracts for reviews, technical notes, and historical vignettes do not need to be separated into sections. They should begin with a clear statement of the paper's purpose followed by appropriate details that support the authors' conclusion(s).

Pre-cancer risk assessment in habitual smokers from DIC images of oral exfoliative cells using active contour and SVM analysis.

Abstract: Habitual smokers are known to be at higher risk for developing oral cancer, which is increasing at an alarming rate globally. Conventionally, oral cancer is associated with high mortality rates, although recent reports show the improved survival outcomes by early diagnosis of disease. An effective prediction system which will enable to identify the probability of cancer development amongst the habitual smokers, is thus expected to benefit sizable number of populations. Present work describes a non-invasive, integrated method for early detection of cellular abnormalities based on analysis of different cyto-morphological features of exfoliative oral epithelial cells. Differential interference contrast (DIC) microscopy provides a potential optical tool as this mode provides a pseudo three dimensional (3-D) image with detailed morphological and textural features obtained from noninvasive, label free epithelial cells. For segmentation of DIC images, gradient vector flow snake model active contour process has been adopted. To evaluate cellular abnormalities amongst habitual smokers, the selected morphological and textural features of epithelial cells are compared with the non-smoker (-ve control group) group and clinically diagnosed pre-cancer patients (+ve control group) using support vector machine (SVM) classifier. Accuracy of the developed SVM based classification has been found to be 86% with 80% sensitivity and 89% specificity in classifying the features from the volunteers having smoking habit.

IWRM and the Nexus Approach: Versatile Concepts for Water Resources Education

Abstract: Integrated Water Resources Management (IWRM) and the nexus approach are tools to identify solutions for water problems across interdependent sectors with interacting social and natural systems. Although both tools aim at solutions for complex water issues using an interdisciplinary approach, IWRM is a management process and the nexus approach is a systems tool to characterize problems. By clarifying their attributes and providing examples, instructors can use them to explain broad social problems and offer practical frameworks for problem-solving. Given their breadth, IWRM and the nexus approach can seem vague and attract criticism, but if they are replaced, the need for them will endure. The concepts are explained, and similarities between them are explored in the paper. Case study sources for them are identified, and the cases are classified by the processes of water resources management as applied across related sectors. How the concepts and their corresponding case studies can be used will vary by context. Suggestions are made for interdisciplinary instruction and discussions in disciplinary settings.

Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Abstract: This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

New technique for voltage tracking control of a boost converter based on the PSO algorithm and LTspice

Abstract: In this paper, a new technique is proposed to design a Modified PID (MPID) controller for a Boost converter. An interface between LTspice and MATLAB is carried out to implement the Particle Swarm Optimization (PSO) algorithm. The PSO algorithm which has the appropriate capability to find out the optimal solutions is run in MATLAB while it is interfaced with LTspice for simulation of the circuit using actual component models obtained from manufacturers. The PSO is utilized to solve the optimization problem in order to find the optimal parameters of MPID and PID controllers. The performances of the controllers are evaluated for a wide range of operating conditions and different disturbances. The comprehensive simulation results demonstrate the effectiveness and robustness of the proposed method which are also explained through some performance indices.