Volume 9 | Issue 4

 Abstract

ABSTRACT Drynaria quercifolia (L.) J. Smith is an important medicinal plant used in traditional medicinal system by different group of people to treat various kinds of health problems. It is commonly known as oak leaf fern of the family Polypodiaceae of Pteridophyta. It is distributed widely in the evergreen forests of India and is native to tropical areas of Africa, Asia, and Australia and cultivated mostly as a medicinal plant. It plays an important medical role in many countries, especially in Asia. Various phytochemicals like 3,4-dihydroxybenzoic acid, friedelin, epifriedelinol, ?-amyrin, ?-sitosterol and ?-sitosterol 3-?-D-glucopyranoside has been isolated from the plant. The rhizome is reported to have anti-fertility, anti-inflammatory and antipyretic, antimicrobial, antioxidant, wound healing, bone regenerative activity and various other activities of traditional and medicinal uses. This review has been aim to provide scientific information and folklore uses of Drynaria quercifolia as an ethno-medicinal plants.

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Drynaria quercifolia, rhizome, ethno-medicinal, phytochemical, antioxidant

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In cancer diagnosis and drug creation, the recognition of various tumor types is important. The majority of previous cancer classification studies, on the other hand, has been clinically based and has limited diagnostic potential. The keys to solving the fundamental problems related to cancer detection and drug development are known to be found in cancer classification using gene expression data. Researchers have begun to investigate the possibilities of cancer classification using gene expression data as a result of the abundance of gene expression data. Because of the dataset's scale, visual analysis cannot be used to determine the number of missing values. This paper depicts the novel approach of pre-processing phases of gene expression data using gene pre-processor, with a focus on the filtering and normalization steps that can effectively deal with missing values in a dataset with thousands of rows and columns for cancer type classification. The experimental analysis shows that the proposed approach of gene pre-processor produces efficient results having reduced the size of the dataset with less elapsed time.

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Pre-processing, High Dimensional data, Gene Expression, Gene-Preprocessing

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The main objective of this study was to record the floristic abundance in the riparian zone of Sabarmati river in Prantij taluka of Sabarkantha district of Gujarat state to highlight its current status. Transect-based quadrate surveys have been conducted in six sampling sites along the Sabarmati riverine stretch. A total of 197 plant species were recorded of which, trees represented 19 species, shrubs represented 27 species, and herb, grasses and sedges were represented by 120 species and 31 species were climbers. Among the tree species, Prosopis juliflora showed the highest density (166.67 ind./ha), whereas among the shrub species, Cassia auriculata showed the highest density (549.33 ind./ha). Regarding herb species, Tephrosia purpurea represented the highest density (2.353 ind./sq.m) and frequency (52 %). Moreover, the highest importance value index was measured in Prosopis juliflora (IVI-57.8) among trees, Cassia auriculata (IVI-27.86) among shrubs and Tephrosia purpurea (IVI-17.44) among herbs. The Abundance/Frequency ratio of trees species showed regular distribution pattern, shrub and climber species showed that 5 species (8%) had contagious distribution, 23 species (40%) had random distribution and 30 species (52%) had regular distribution, whereas herb species showed contagious distribution pattern within the study area. The present study also includes ? diversity (Shannon diversity index, Simpson's Index, species richness, evenness index) of the riparian flora of Sabarmati river.

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Phytosociological, Abundance/Frequency, ? diversity, Riparian

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Rural, Distribution, FMCG, Retailers, Consumers

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Keywords: Preterm birth, Gestational age, Vaginal microbiome, Intrauterine infections, Neonatal complications.

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Medical consultation and prediction has become an interactive decision-making process for patients. E-healthcare and telemedicine are now widely accepted as a method for remote consultation between patient and doctor. This paper proposes an android mobile health application model for breast cancer diagnosis and daily heath prediction with the help of which we can improve the quality of treatment for patients. Breast cancer is one of the primary reasons for the death of women in recent times, being the second most common cause of cancer deaths of women worldwide. A lot of research has been done on early detection of breast cancer so as to allow starting of treatment early to increase the chance of survival. Breast Cancer Diagnosis is distinguishing benign from malignant breast lumps. Machine Learning Techniques are used as an approach for diagnosis of this disease. The user interface will be implemented using android/java programming, and the disease diagnosis part is designed with the help of symptoms-disease data and ML prediction techniques.

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E-healthcare, Breast Cancer, diagnosis, Early Detection of Breast Cancer, Machine Learning, ML Prediction Techniques, Android app, Smart Doctor.

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Ivy Gourd, Coccinia grandis (L), also known as little gourd or baby watermelon plant, that is a member of the family of Cucurmbitaceae. It is one of the most beneficial medicinal herbs in traditional and ayurvedic medicine. The fruits of Coccinia Grandis are recognized to have active constituents similar to amyran, lupeol, taraxerone, taxerol and glycoside cucurbitacan B. The subsistence of secondary metabolites like alkaloids, flavonoids, saponins, glycosides etc. in the plant may give to their medicinal value. The tender green fruits are nutritious and are a good source of calcium, protein, calcium, fiber and beta carotene, Vitamin-A. It has been used in traditional medicine as a domestic remedy for a variety of diseases. The entire plant of Coccinia grandis having pharmacological actions such as analgesic, antipyretic, anti- inflammatory, antimicrobial, antiulcer, antidiabetic, antioxidant, hypoglycemic, hepatoprotective, antimalarial, antidyslipidemic, anticancer, antitussive, mutagenic. Therefore, the final note emphasizes this plant broadly being used for the treatment of diabetes, jaundice, hypertension, fever and gastrointestinal exertion and to relieve pain. The Coccinia grandis has good likely of medicinal values and chemical constituents.

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Ivy gourd, pharmalogical activities, Coccinia grandis, antidiabetic

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OAS, Online auction system, computer science, auction, online auction, english action, website, webdevelopment

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Now-a-days road accidents are increasing rapidly due to carelessness of driving, Over Speeding, Drunken Driving and many others. If we see a newspaper and we will find atleast one or two news about road accidents daily. Aroad accidentiswherea vehicle crashesintoanother vehicle or a person or an object. These accidents can lead to very dangerous injuries and also death in some cases. For quick proclamation and identification regardingan accident there is no system.Thispaper dealswin the accident detection and alerting system. The main focus of this paper is to detect the accident immediately after it has been occurredandinform to the emergency services and family members and friends so that proper action can be taken quickly to avoid severe injuries. This system focuses to alert the registered mobile number and gives the information to the nearby medical center about the accident to provide instant intensive care. The main mottoof our framework is to pass an alert stating that such an accident has taken place at particular coordinates of latitude and longitude to the registered m obile using wireless communication techniques. In a short span of time, the message will be sent to the registered Mobile using the GSM module at any place or any city, whenever an accident occurs. Arduino is the Centre of our System, that will help in performing the communication between the peripheral devices. Whenever the accident occurs sensor get activated and a message is passed to a registered mobile number with help of GSM.GPS will helpustofind out the location that where the accident occurs.

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Embedded system, Accident detection, Accident Alert message

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Webometric is measuring the websites, webpages, parts of webpages, words in webpages, link structure, web search engine results. This study examines 02 Central Universities and 03 Deemed Universities of Madhya Pradesh . Investigate Domains distribution of websites, analyze number of webpages and link pages and calculate the self link web impact factor, External link web impact factor and Revised web impact factor for Central Universities and Deemed Universities in Madhya Pradesh and Rank the websites as per the web impact factor.

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Central University, Deemed University websites Madhya Pradesh, website Analysis, Link Analysis, Internal Link, External Link, In Link, Web Impact Factor.

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The segmented energy storage management (SES) is the current and typical solution of smoothing renewable power generation fluctuations. An SES based hybrid power systems require a suitable control strategy that can effectively utilize the maximum power output and battery state of charge (SOC). Proposed system presents the efficiency of a wind/photovoltaic (PV) hybrid power system simulation analysis undertaken to improve the smoothing performance of wind/ PV/BESS hybrid power generation and the effectiveness of battery SOC control. A smoothing control method for reducing wind/PV hybrid output power fluctuations and regulating battery SOC under the typical conditions is proposed. A real-time SES based power allocation method also is proposed.

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Hybrid power, segmented energy storage & state of charge

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Intelligent Decision Analytical System requires combination of decision exploration and prediction. The greater part of the business associations intensely rely upon an information base also, request expectation of deals patterns. The precision in deals figure gives a major effect in business. Pattern Analytical System and Data Mining techniques are powerful tools that helps in removing covered up information from a huge dataset to upgrade exactness and productivity of estimating. Traditional prediction frameworks are hard to manage the enormous information and exactness of sales measure. Valuable metals like diamonds and gold are sought after because of their financial prizes. In this manner, different methods are commonly utilized to estimate costs of jewels and valuable metals with the point of quick and precise outcomes. The costs vacillate day by day making it hard to predict the next future worth. Subsequently, by analyzing the example of past costs we can apply relapse models for future expectation. This paper targets forecasting the future costs of valuable metals like diamond, utilizing various machine learning techniques, intending to get the most precise consequence of all. Group models are utilized for expanding the exactness of costs.

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achine Learning, Prediction, Data Mining, Analytics, Estimation, Pattern.

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Solanum tuberosum belonging to family Solanaceae is one of the most widely consumed vegetable food in the world. This special fruit vegetable is known to contain many nutritional benefits for its consumption. The fruit is commonly called to be a potato. However, in recent years the fruit is often used in many cooking receipe. Many a time the fruit is peeled off during a cooking process. While many literature surveys projects on the importance of the potato peel enriched in nutritional benefits for its consumption. The current research experiment is carried out to study the nutritional importance of the potato peel. The research experimentation carried out for assessing of nutritional elements such as Protein, carbohydrate, fats, fibres, ash and moisture gives successful results in terms of its richness beneficial for the health if consumed rather discarding it during cooking time.

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nutritional importance, potato peel, Solanum tuberosum.

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Currently, this is the time where the world is moving towards innovation and, considering this every company is trying to develop their production rate to compete with this era of growing technology. In Older days there were many issues for finding an appropriate person for doing a skillful task, who can handle all machinery as well as sort the final product. Due to this, the production rate was very slow as compared to the current situation. Anyway, handling the final product and sorting issues are generally affecting the production rate and revenue of the business because of more sorting time. A huge number of large-scale and small-scale companies follow the old pattern of sorting of an end product. Considering ancient techniques for sorting of final product consist various of issues subsequently "Object Sorting Robotic Arm " is an efficient way to get a solution of this issue. This technique provides a low-cost methodology for quick and faster sorting and detection of products that continuously take place. The sorting of products with an automated system is an appropriate technique to improve the current technique of sorting end products. The system consists of four interconnected halts which include recognizing an object, handling of product, decision making, and placing the product at the designated place. The System manages a programmed material dealing with end products. It points to grouping similar objects by color and shape, that are drawing close to the transport by choosing an appropriate article and placing it in its pre-customized place. Consequently halting the work done by humans and accomplishing precision and speed inside the work.

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shape, color, object, robotic arm, categorizing, segregate, conveyor belt.

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Whey is concentrated to produce different types of whey protein products such as whey protein concentrates (WPC) .Whey proteins contain protein contents from 25- 89% and contains 162 amino acid residues consisting of the nine essential amino acids primarily consisting of ?- lactoglobulin (BLG), ?-lactalbumin (?-LA), bovine serum albumin (BSA) immunoglobulins . Lipid found in WPC is highly enriched in phospholipids. As the concentration of protein in WPC expands, the lactose concentration diminishes. The temperature is inversely proportional to the solubility of whey protein. The sodium caseinate present in it is proficient in absorbing water Whereas the gel formation occurs after the unfolding of the protein chains. The nutritional effect of addition of whey protein concentrate include the rise in the amount of proteins, carbohydrates and minerals whereas the fats and moisture content is found to be decreased. The total plate count and fungal count was found within the limit during microbiological evaluation . the aim of this paper is to study the effect of addition of WPC on the cookies and its possible application in the bakery industry.

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Whey protein concentrates

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Machine Learning algorithms play very crucial role in decision automation process of Artificial Intelligent systems. Machine Learning algorithms learn from the hidden structures present inside the data without the need of any traditional programming. Many advanced algorithms are developed for Machine Learning to handle complex datasets. These algorithms provide better performance but require huge amount of training time. This requirement of huge training time is manageable in Supervised and Unsupervised Machine Learning algorithms as their models are trained before deploying them into application. But, in Reinforcement learning, the effect of huge training time is very significant problem as their models are trained after deploying them into application environment. To solve this problem, new Reinforcement algorithms with controlled complexity need to be developed without compromising the performance of the model. This paper aims at four new Reinforcement Learning algorithms with controlled complexity to reduce the training time. The proposing algorithms are developed using MATLAB software and validated by employing them for automated parameter tuning in image denoising technique using Double Density Dual-tree Discrete Wavelet Transform. These proposing algorithms are compared against standard Markov Decision Process based Reinforcement Algorithm in terms of model accuracy and model training times

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Complexity Controlled Learning, Double Density Dual-tree Discrete Wavelet Transform, Intelligent parameter tuning, Hybrid Thresholding, Segmented Recursive Reinforcement Learning, Segmented Adaptive Reinforcement Learning

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This paper accentuates on various types of students, especially specially abled students and normal students. Among adolescents some students are rebelliousness and experimentations are common. However, a few students repeatedly participate in problematic behaviours that affects their academic, personal and social functioning. This concept is in harmony with the modern democratic ideas which seek finest development by providing suitable educational amenities to all students. Special issues which are related to specially abled students and normal students are discussed in this paper. This study aims to find out difference among specially abled students and normal students in relation to emotional maturity. The normative survey method was used to compare the Emotional Maturity of specially abled students and normal students. The present study was conducted with 50 students (25 specially abled students and 25 normal students) measured by using emotional maturity scale developed by Dr. Mahesh Bhargava and Dr. Yashveer singh. On the basis of analysis and interpretation of data, it is concluded that normal students have higher emotional maturity than the specially abled students.

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Emotional Maturity, Specially abled students, Normal students

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Raspberry pi, Internet of things, surveillance, security and patrol.

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Coronavirus or Covid-19 has affected the health of almost every corner of the people around the world and took away the lives of people worldwide without showing any partiality either to the rich or poor people. The pandemic which has started in the wet market of Wuhan, China, gave rise and spread like a wild blaze to different ends of the earth not just affecting the health of the public, but also affecting the social, political, and most importantly on the economy of every country of the world. This paper examines to write specifically on how this deadly virus progressed slowly into the whole of the land and suddenly wrecked the economy which was contributed by the Tourism industry in Meghalaya, India, which is known as one of the most famous tourist states in the lands of North East India and how the socio-economic life of the people who generated their income from tourism sectors has affected by this pandemic.

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Corona virus, Tourism Industry, Meghalaya, Lockdown, Indian Tourism

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