Formulation, Development and Evaluation of Topiramate Loaded Niosomes for the Treatment of Epilepsy

Topiramate (TPM) is an anti-epileptic drug used in the treatment of epilepsy and seizures. The study was designed with three aims. First, to enhance the solubility and bioavailability of BCS class III drug TPM; second, to ease administration of the formulation to the epileptic patient, during an attack, and third, to decrease the dose of drug for enduring treatment. Formulation of TPM niosomes was optimized by changing the concentration of Tween, Labrafil and cholesterol using response surface design. Further the TPM niosomes were prepared by using ether injection method. The formulation was then evaluated for vesicle size, entrapment efficiency and in-vitro drug release study. FTIR and DSC studies were performed for pure drug and optimized batch. The vesicle size of the optimized batch was found to be 0. 35 nm. The %entrapment efficiency and %drug release of optimized batch was found to be 94.64% and 92.027% respectively. From the present study it can be concluded that the developed niosomes of TPM has shown great potential in treatment of epilepsy

Trusted Net: A Lightweight Cluster-Based Trust Sensing System for IoT Networks

Abstract— The Internet of Things is founded on the premise that objects in the human living environment can be connected to the Internet. Adoption of the Internet of Things cannot be permitted until security issues are addressed. Security solutions for the Internet of Things can be built on unique designs such as partitioning a mobile network into clusters managed by a cluster head, often known as clustering. However, without any security considerations, the clustering process is vulnerable to a variety of security-related internal attacks. A trust management system, which has proven its security efficiency and friability in mobile networks, might be used to defend the IoT against rogue nodes within it. In this research, we provide a trust-based clustering technique for the Internet of Things. Trust Sensing has played an important part in dealing with security concerns. A novel Light Weight Clustered Trust Sensing (LWCTS) Mechanism has been created with the primary goal of reducing The amount of energy that IoT nodes use. The LWCTS first clusters the network and chooses highly resourced Cluster Heads. Additionally, two components are considered in the proposed trust model: the mobility component for trust sensing and the interactive trust factor. The primary purpose of mobility factor inclusion in the network is to reduce the number of false positives. &nbsp

Countryside leaf extracts act as an Eco-friendly natural pesticide

Present research discusses how countryside leaf extracts act as reasonable pest control for different crops, vegetables, fruits, flowers. Many modern pesticides are used today to store toxic materials in soils, air, and water. These toxin materials affect plants, animals as well as human health. These are also non-biodegradable in our environment. These leave extracts are toxic to insects pests. For this purpose, we collect Neem leaf, Indian Bael leaf, Green Chiretta leaf. After preparation of leaf extracts and uses of different crops, it may be concluded that the decreasing order of the pest control of natural leaf extracts is a Mix of all three leaves>Neem leaves> GreenChiretta> Indian Bael. Elico(171, Mini Spectro) machine was used to characterize these leaf extracts. Especially this pesticide uses on potato field to protect Aphids in West Bengal. Using these natural pesticides, after 2 week 95% Aphids were died. &nbsp

An Isolation Detection Technique for Distributed Generators Based on Inverter for Power Quality Improvement

In the present paper, an isolation method of detection for the inverter-based system of Distributed generators is proposed and based on perturbing output of reactive power. In the proposed method two sets of the disturbances are designed and have different magnitudes and time durations. In the primary set of reactive power disturbance, amplitudes are periodic and small to break reactive power balancing during isolation process. The secondary set of reactive power disturbance is required for deviation of the frequency beyond its threshold limits. The characteristics of the frequency variations with primary set after isolation are considered and three criterion are designed for switching the disturbances from primary set to secondary set of RPD. All the DGs which are located at different positions have same variation in frequency characteristics and primary set of RPD can be added to different DGs without any further communication at the same instant. Here, synchronization of the secondary set of disturbances can be guaranteed for a system with the multiple DGs. The proposed method is applied to DGs which operate at UPF or for supplying of reactive power to the local loads and the method is validated with cases mentioned in the Matlab/Simulink environment

Performance Evaluation of Approximate (8; 2) Compressor for Multipliers in Error-Resilient Image Processing Applications

Abstract Approximate computing improves performance in error-resilient applications like image and video processing. Multipliers are part of its computing unit, which frequently requires a large number of resources. This study compares an approximation (8; 2) compressor to other known models in terms of quality, power consumption, delay, and circuit area. The proposed approximation compressor is implemented in 8 × 8 and 16 × 16 multipliers. To demonstrate the quality of the suggested compressor, an 8 × 8 approximation multiplier was utilized to multiply two images in MATLAB tools. Qualitative measures such as SSIM and PSNR were examined and acceptable results were obtained. The suggested 8 × 8 multiplier circuit produces an acceptable error rate, as indicated by the MED and NED accuracy criteria. Finally, we used a Synopsys Design Compiler to synthesize the proposed approximation compressor and multiplier designs. The suggested 16 × 16 multiplier improves latency, area, and power delay products by 5%, 17%, and 8%, respectively, compared to similar current approximate multipliers. &nbsp

Identifying Product Aspect Polarity by Product Review Classification with Dual Sentiment Analysis

Dual Sentiment Analysis has emerged as a crucial and active research field. It involves extracting sentiment from comments, feedback, or critiques, which serves as valuable indicators for various purposes. To address this, we propose a novel dual training algorithm that utilizes both original and reversed training reviews to develop a robust sentiment classifier. Additionally, we introduce a dual prediction algorithm that comprehensively assesses both aspects of a review for classification during testing. The proposed approach goes beyond traditional polarity (positive-negative) classification by extending the framework to a 3-class system, which includes neutral reviews. This enhancement allows for a more nuanced understanding of sentiment. By considering neutral reviews, we gain deeper insights into the sentiment landscape. Dual Sentiment Analysis plays a pivotal role in helping companies gauge the level of acceptance of their products and formulate strategies to improve product quality. Moreover, it empowers policymakers and politicians to gain valuable insights by analyzing public sentiments on policies, public services, and political issues

Medicinal and Health Benefits of Lemon

: Today, we still understand the collaboration between plants, drugs and food. Herbal medicines have been used for many years because of their mild side effects, suitability, and influence. Citrus is a liquid plant in the family of Rutaceae. In the genus citrus, approximately 140 genera and 1300 species are present. The word lemon comes from "limon" in ancient French. There are several other lemon fruit names available. The main components of the chemical makeup are flavonoids, acids, caffeine, pectin and minerals. Many ingredients contain basic citrus oil, and limonene is the main ingredient in its odour. Lemon has many qualities, such as antimicrobial, antifungal, anti-inflammatory, anti-cancer, depurative, antiscorbutic, etc. Lemon essential oil is toxic, especially in pregnancy, breastfeeding and radiation exposure. This article provides the information about medicinal and health benefits of lemon

Milk Processing: A Review

Nutritious milk needs to be processed after milking to improve its shelf life and make it healthy for human consumption. One important factor Microbial contamination is responsible for milk spoilage. There is some internal anti-microbial defense mechanism in freshly drawn milk, but for longer, to avoid or decontaminate microbial growth, some other external anti-microbial preservation measures need to be initiated for storage. This review article provides some information about milk processing

Amla and Its Nutritional Properties: A Review

Emblica phyllanthus Linn. or Gaertn Emblica officinalis one of the most important medicinal plants in Indian traditional systems of medicine (Ayurveda, Unani and Siddha). It is commonly known as Indian gooseberry or Amla. It is a well-known fact that all components of amla are effective in the treatment of different diseases. Of everything, fruit is the most essential element. In the Indian system of medicine, Amla fruit is commonly used as a diuretic, laxative, liver tonic, refrigerant, stomachic, restorative, anti-pyretic, hair tonic, and preventive for ulcers and common cold, fever; as alone or in combination with other herbs. Major chemical constituents, including tannins, alkaloids, polyphenols, vitamins and minerals, were revealed in phytochemical studies on amla. Biological potency is found in gallic acid, ellagic acid, emblicanin A&B, phyllembein, quercetin and ascorbic acid. Amla studies show its analgesic, anti-tussive, antiatherogenic, adaptogenic, cardio, gastro, nephro and neuroprotective, chemopreventive, modulatory and anticancer radio and chemotherapy properties. Amla is also reported to have powerful free radical scavenging activities that are efficient in the prevention and treatment of various diseases such as cancer, atherosclerosis, antioxidant, anti-inflammatory, anti-mutagenic, immunomodulatory, Diabetes, illnesses of the liver and heart. This article provides some information about amla and its nutritional properties. Keywords: Amla, neuro-protective, antiatherogenic, adaptogenic, anti-inflammatory, anti-mutagenic, immunomodulator

DEVELOPMENT AND CHARACTERIZATION OF EXQUISITE PASSION FRUIT

Carbonated water is water containing dissolved carbon dioxide gas, either artificially injected under pressure.  soda contain added or dissolved minerals such as potassium bicarbonate, sodium bicarbonate, sodium citrate. Carbonated water does not appear to have an effect on gastroesophageal reflux disease and improves satiety or feeling of fullness that could be a benefit for people who constantly feel hungry. In this study nutritious passion fruit is used as flavouring and it is a tropical fruit that grows on vines belonging to the genus Passiflora. The pulp is typically bright yellow or orange, with a gelatinous texture. Its flavour is an exquisite blend of sweet and tart. Provides key nutrients Rich in antioxidants, Good source of Fiber, Low glycaemic index, Improve insulin sensitivity Boosts the immune system, Supports heart health, Reduce anxiety. This study to develop the Flavoured carbonated soda from passion fruit nectar in different concentration (10%, 15 %,20%) along with granulated sugar, water, citric acid, carbon dioxide etc.