RAPHANUS SATIVUS LINN. A NEW ANTINOCICEPTIVE FOR DIABETIC NEUROPATHY IN RATS DETERMINED BY RANDALL SELITTO APPROACH

Objective: The objective of the study was to evaluate the antinociceptive effect of Raphanus sativus Linn. using Randall Selitto method. Methods: Streptozotocin, lard, casein, cholesterol, DL-methionine, yeast powder, quercetin, thiobarbituric acid, 2-nitrobenzoic acid (5, 5, Dithiobis), hematoxylin, and hydrogen peroxide were used. A diet rich in fat content was fed to the animals for a period of 2 weeks. After a stabilization period of 2weeks, the treatment period started and continued for a period of 8weeks. The nociceptive parameters were assessed once a week by Randall Selitto method and hot plate test. After treatment, the animals were sacrificed, and antioxidant parameters were assessed using sciatic nerve homogenate and histopathological analysis of sciatic nerve. Results: Treatment R. sativus extract (RSE 100 mg/kg and 200 mg/kg) appreciably declined the levels of blood glucose in a dose-dependent manner, and it was comparable with standard quercetin. A significant increase in pain threshold levels was observed by the treatment RSE in hot plate method after the 4th week compared to diabetic control, and it was consistent until the end of treatment (p<0.01, p<0.001). In Randall Selitto method RSE produced a significant increase in paw withdrawal threshold after the 4th week compared to diabetic control, and it was consistently increased until the end of treatment. RSE (100 and 200 mg/kg) significantly restored the levels of antioxidant enzymes and decreased lipid peroxidation in a dose-dependent fashion in comparison with the diabetic control group. RSE (100 mg/kg and 200 mg/kg) attenuated the nerve degeneration and axonal swelling along with quercetin. Conclusion: The findings from the current study showed the antinociceptive and antioxidant effect of R. sativus in neuropathic pain in diabetes

CORDIC algorithm and it’s applications in DSP

OBJECTIVE: The digital signal processing landscape has long been dominated by the microprocessors with enhancements such as single cycle multiply-accumulate instructions and special addressing modes. While these processors are low cost and offer extreme flexibility, they are often not fast enough for truly demanding DSP tasks. The advent of reconfigurable logic computers permits the higher speeds of dedicated hardware solutions at costs that are competitive with the traditional software approach. Unfortunately algorithms optimized for these microprocessors based systems do not map well into hardware. While hardware efficient solutions often exist, the dominance of the software systems has kept these solutions out of the spotlight. Among these hardware- efficient algorithms is a class of iterative solutions for trigonometric and other transcendental functions that use only shifts and adds to perform. The trigonometric functions are based on vector rotations, while other functions such as square root are implemented using an incremental expression of the desired function. The trigonometric algorithm is called CORDIC an acronym for Coordinate Rotation Digital Computer. The incremental functions are performed with a very simple extension to the hardware architecture and while not CORDIC in the strict sense, are often included because of the close similarity. The CORDIC algorithms generally produce one additional bit of accuracy for each iteration. DESCRIPTION: A detailed study on various modes of CORDIC algorithm is done. First of all a study is made how the CORDIC algorithm is derived from the general vector equation. Then a study is done regarding the various modes of the CORDIC algorithm and how it can be used to find the sine, cosine, tan and logarithm functions, its use in conversion of coordinate systems. An attempt is made to carry out a rigorous study of its use in DSP oriented applications AND how it has revolutionized the DSP scenario. Finally simulations are carried out using MATLAB to support the purpose of our study. RESULTS The results clearly bring out the advantage of using CORDIC algorithm. First of all the sine and cosine of any angle could be found out easily. Similar is the case of logarithm and hyperbolic functions. The simulation results prove the fact that the hardware complexity gets reduced by using the CORDIC algorithm. A large no of plots were obtained for different 7 functions. Finally the implementation in DCT was carried out and the results obtained were in line with those of the theoretical values. CONCLUSION The CORDIC algorithms presented in this paper are well known in the research and super computing circles. Here the basic CORDIC algorithm and a partial list of potential applications of potential applications of a CORDIC based processor array to digital signal processing is presented. The CORDIC based DCT architecture for low power design has been proposed. The proposed multiplierless CORDIC based DCT architecture produces high throughput and is easy to implementing VLSI. The proposed architecture reduced the input data range for the CORDIC processor by split and the no of compensation iterations in CORDIC based DCT computation by utilizing that most images have similar neighboring pixels. The project also shows that a tool is available for use in FPGA based computing machines, which are the likely basis for the next generation DSP systems

Management Of Extracranial Schwannomas In Head And Neck Region - An Observational Study

ABSTRACT Background: Schwannomas, benign tumors arising from Schwann cells, often manifest as slow-growing lesions in the peripheral nerve sheath. While typically asymptomatic, they can affect cranial and peripheral nerves. Surgical excision is the primary treatment, but preserving nerve function poses challenges. Methods: This retrospective study analyzed 12 cases of benign head and neck schwannomas diagnosed at Department of ENT, SCB Medical College, Orissa, India between 2021 and 2023. Data encompassed patient demographics, tumor characteristics, diagnostic methods, surgical approaches, histopathology, and follow-up outcomes. Pre-operative investigations included Fine Needle Aspiration Cytology, Ultrasonography, and imaging. Results: Predominantly middle-aged and male patients presented with painless swelling, commonly in the cervical region, tongue, nose, and hard palate. Mean symptom duration was 8.5 months. Imaging depicted characteristic features, guiding surgical planning. Various approaches ensured complete excision, preserving nerve function. Histopathology confirmed the diagnosis, with positive S-100 staining. No cases showed malignancy or recurrence during follow-up. Conclusions: Head and neck schwannomas, though rare, present diagnostic and management challenges. Pre-operative diagnosis relies on imaging and biopsy, with surgical excision essential for treatment. Nerve preservation minimizes post-operative complications. Despite diagnostic difficulties, maintaining a high index of suspicion for schwannomas in patients with painless, slow-growing swellings is crucial

COVID-19 pandemic: Hospital preparedness in a tertiary care hospital in North East India

Background: The first case of Coronavirus was reported by World Health Organisation (WHO) on 31 December 2019. Due to its high infectivity and increasing mortality, WHO on 30 January 2020 declared the infection as public health emergency of international concern. Various measures were initiated and carried out by health care facilities to tackle the pandemic. Our experiences of hospital preparedness may help future health policies to tackle the pandemics. Method: Various guidelines given by Ministry of Health and Family Welfare, Centre for Disease Control, Indian Council of Medical Research were studied and analysed. The hospital lay out plan was studied, modifications in the physical structure of the hospital as planned by the hospital authorities were observed and recorded. The impact of the new planning on patient management was recorded by the investigators. Results: It was observed that proper planning on the basis of laid down guidelines and the modifiable initial layout is very effective in the prevention and management of the pandemic. A total of 130 beds of the hospital under study could be separated from the main building with little modifications. Another important observation was dedicated leadership and coordination among different specialities ensuring successful planning. The investigators concluded that the new hospitals should be planned and constructed in such a way so that a major part of the hospital building can be converted to an isolation area with little modifications in the physical structure of the hospital at the time of pandemics

Subfascial Endoscopic Perforator Surgery: A safe and novel minimal invasive procedure in treating varicose veins in 2nd trimester of pregnancy for below knee perforator incompetence

Aim: Aim of this study is to evaluate the results of Subfascial Endoscopic Perforator Surgery(SEPS) in treating varicose veins in 2nd trimester of pregnancy for below knee perforator incompetence. Materials and Methods: A case series was undertaken at our institute from the period January 2010 to January 2014 on 45 pregnant women. Pregnant women with failed conservative management for varicose veins were subjected to SEPS in 2nd trimester Perioperative parameters like operative time, intraoperative complications, post-operative complications, hospital stay, pain relief, ulcer healing duration and recurrence rate were studied. All the patients were reviewed and followed up for a minimum period of 3 years. Results: During the study period.total of 45 pregnant women were enrolled in the study. The median age of the patients was 26 years (range 22 years - 30 years). The mean operative time was 90±10 minutes. The post-operative hospital stay was 1-2days. There were no intraoperative complications like bleeding or gas embolism. There were no post-operative complications like seroma or abscess, port site infection, deep vein thrombosis and gas embolism. Mean healing duration of ulcers following surgery was 7-8 weeks.No patient complained of temporary or permanent paraesthesia. Every patient was subjected to follow up for a minimum period of 3 years. 5(11.1%) patients with recurrence were documented in the study. Conclusion: SEPS is a safe, cost effective and novel minimal invasive procedure in treatment of varicose veins in 2nd trimester of pregnancy for below knee perforator incompetence

Clinical experience with insulin detemir, biphasic insulin aspart and insulin aspart in people with type 2 diabetes: Results from the East India cohort of the A 1 chieve study

Background: The A1chieve, a multicentric (28 countries), 24-week, non-interventional study evaluated the safety and effectiveness of insulin detemir, biphasic insulin aspart and insulin aspart in people with T2DM (n = 66,726) in routine clinical care across four continents. Materials and Methods: Data was collected at baseline, at 12 weeks and at 24 weeks. This short communication presents the results for patients enrolled from East India. Results: A total of 2177 patients were enrolled in the study. Four different insulin analogue regimens were used in the study. Patients had started on or were switched to biphasic insulin aspart (n=1605), insulin detemir (n=230), insulin aspart (n=233), basal insulin plus insulin aspart (n=49) and other insulin combinations (n=54). At baseline glycaemic control was poor for both insulin naïve (mean HbA1c: 8.9%) and insulin user (mean HbA1c: 9.1%) groups. After 24 weeks of treatment, both the groups showed improvement in HbA1c (insulin naïve: -1.6%, insulin users: -1.6%). SADRs including major hypoglycaemic events or episodes did not occur in any of the study patients. Conclusion: Starting or switching to insulin analogues was associated with improvement in glycaemic control with a low rate of hypoglycaemia

Understanding Large-Scale Network Effects in Detecting Review Spammers

Opinion spam detection is a challenge for online review systems and social forum operators. Opinion spamming costs businesses and people money since it deceives customers as well as automated opinion mining and sentiment analysis systems by bestowing undeserved positive opinions on target firms and/or bestowing fake negative opinions on others. One popular detection approach is to model a review system as a network of users, products, and reviews, for example using review graph models. In this article, we study the effects of network scale on network-based review spammer detection models, specifically on the trust model and the SpammerRank model. We then evaluate both network models using two large publicly available review datasets, namely: the Amazon dataset (containing 6 million reviews by more than 2 million reviewers) and the UCSD dataset (containing over 82 million reviews by 21 million reviewers). It has been observed thatSpammerRank model provides a better scaling time for applications requiring reviewer indicators and in case of trust model distributions are flattening out indicating variance of reviews with respect to spamming. Detailed observations on the scaling effects of these models are reported in the result section

A Data Aggregation Approach Exploiting Spatial and Temporal Correlation among Sensor Data in Wireless Sensor Networks

Wireless sensor networks (WSNs) have various applications which include zone surveillance, environmental monitoring, event tracking where the operation mode is long term. WSNs are characterized by low-powered and battery-operated sensor devices with a finite source of energy. Due to the dense deployment of these devices practically it is impossible to replace the batteries. The finite source of energy should be utilized in a meaningful way to maximize the overall network lifetime. In the space domain, there is a high correlation among sensor surveillance constituting the large volume of the sensor network topology. Each consecutive observation constitutes the temporal correlation depending on the physical phenomenon nature of the sensor nodes. These spatio-temporal correlations can be efficiently utilized in order to enhance the maximum savings in energy uses. In this paper, we have proposed a Spatial and Temporal Correlation-based Data Redundancy Reduction (STCDRR) protocol which eliminates redundancy at the source level and aggregator level. The estimated performance score of proposed algorithms is approximately 7.2 when the score of existing algorithms such as the KAB (K-means algorithm based on the ANOVA model and Bartlett test) and ED (Euclidian distance) are 5.2, 0.5, respectively. It reflects that the STCDRR protocol can achieve a higher data compression rate, lower false-negative rate, lower false-positive rate. These results are valid for numeric data collected from a real data set. This experiment does not consider non-numeric values

A Data Aggregation Approach Exploiting Spatial and Temporal Correlation among Sensor Data in Wireless Sensor Networks

Wireless sensor networks (WSNs) have various applications which include zone surveillance, environmental monitoring, event tracking where the operation mode is long term. WSNs are characterized by low-powered and battery-operated sensor devices with a finite source of energy. Due to the dense deployment of these devices practically it is impossible to replace the batteries. The finite source of energy should be utilized in a meaningful way to maximize the overall network lifetime. In the space domain, there is a high correlation among sensor surveillance constituting the large volume of the sensor network topology. Each consecutive observation constitutes the temporal correlation depending on the physical phenomenon nature of the sensor nodes. These spatio-temporal correlations can be efficiently utilized in order to enhance the maximum savings in energy uses. In this paper, we have proposed a Spatial and Temporal Correlation-based Data Redundancy Reduction (STCDRR) protocol which eliminates redundancy at the source level and aggregator level. The estimated performance score of proposed algorithms is approximately 7.2 when the score of existing algorithms such as the KAB (K-means algorithm based on the ANOVA model and Bartlett test) and ED (Euclidian distance) are 5.2, 0.5, respectively. It reflects that the STCDRR protocol can achieve a higher data compression rate, lower false-negative rate, lower false-positive rate. These results are valid for numeric data collected from a real data set. This experiment does not consider non-numeric values