Novel Fmoc-Polyamino Acids for Solid-Phase Synthesis of Defined Polyamidoamines

A versatile solid-phase approach to sequence-defined polyamidoamines was developed. Four different Fmoc-polyamino acid building blocks were synthesized by selective protection of symmetrical oligoethylenimine precursors followed by introduction of a carboxylic acid handle using cyclic anhydrides and subsequent Fmoc-protection. The novel Fmoc-polyamino acids were used to construct polyamidoamines demonstrating complete compatibility to standard Fmoc reaction conditions. The straightforward synthesis of the building blocks and the high efficiency of the solid-phase coupling reactions allow the versatile synthesis of defined polycations

V. NEGUNDO, L. CAMARA AND B. VARIEGATA PLANTS LEAF EXTRACT EXHIBIT CONSIDERABLE IN VITRO ANTIOXIDANT AND ANTICANCER ACTIVITIES

Objective: The study was planned to investigate antioxidant and anticancer activities with the preliminary phytochemical analysis of methanolic extracts of Vitex negundo (V. negundo), Lantana camara (L. camara) and Bauhania variegata (B. variegata) plants leaf extracts.Methods: Phytochemical evaluation was performed for all the extracts, as per the standard methods. In vitro antioxidant activities were performed by using DPPH (2,2-Diphenyl-1-Picrylhydrazyl), ABTS (2, 2'-Azino-Bis-3-Ethylbenzothiazoline-6-Sulfonic Acid) and FRAP (Ferric reducing antioxidant power assay) method and compared with standard antioxidants. The anticancer activity of plant extract was assessed using MTT colorimetric assay.Results: The study of preliminary phytochemical proved the existence of alkaloids, flavonoids and phenolic types of phytochemicals in high amount. Methanolic extract of L. camara shows minimum IC50 value for DPPH assay (48.75±2.34 µg/ml) and FRAP assay (274.66±3.65 µg/ml). In ABTS assay B. variegata extract exhibit minimum IC50 value (60.48±3.01 µg/ml). Lower the IC50 value of extract, higher the effectiveness of the plant. Methanolic extract of all plants methanolic extracts showed anticancer activity against SH-SY-5Y cells (human neuroblastoma cell) but V. negundo was more effective against SH-SY-5Y cells with IC50 value (209 µg/ml) compared to remaining extracts.Conclusion: The current finding accomplished the in vitro activities, so that plant could be a superior source of antioxidant and anticancer drugs. But further in vivo assessment was needed before adding it into the pharma industry

Phytochemical Investigations of some Laticiferous Plants belonging to Khandesh Region of Maharashtra

Analyses were carried out on latex obtained from twenty one plant species belonging to Khandesh region of Maharashtra, India, for the presence of possible secondary metabolites, namely alkaloids, flavonoids, terpenoids, cynogenic glycosides, phenolics, tannins and saponins. Phenolic compounds were found in all latex samples except in Ipomoea carnea Jacq. Seventy six percent species of laticiferous plants contain alkaloid. Terpenoids were found in the latex of Carica papaya L. and Manilkara zapota (L.) P. van Royen only however, remaining plants were devoid. Cynogenic glycosides and tannins were detected in 52 % and 48 % of latex samples respectively. Flavonoids and saponins were detected in equal number of latex samples i.e. 38 %. Out of this, four species of Apocynaceae and single species of Euphorbiaceae, Moraceae, Carricaceae, Convolvulaceae etc. showed flavonoid. While three species of Euphorbiaceae, two species of Apocynaceae and Moraceae and single species of Asclepiadaceae showed saponin. The moisture and total solid content varies from species to species in latex samples analyzed. Euphorbia prunifolia Jacq. had highest level of moisture i.e. 93.33% and less solid content i.e. 6.67% whereas Euphorbia hirta L. had lowest level of moisture i.e.63.63% and highest content of total solid i.e. 36.37%. The results suggest that, the laticiferous plants would be exploited in the management of various diseases as they have diverse group of secondary metabolites

OCR Text Extraction

This research tries to find out a methodology through which any data from the daily-use printed bills and invoices can be extracted. The data from these bills or invoices can be used extensively later on – such as machine learning or statistical analysis. This research focuses on extraction of final bill-amount, itinerary, date and similar data from bills and invoices as they encapsulate an ample amount of information about the users purchases, likes or dislikes etc. Optical Character Recognition (OCR) technology is a system that provides a full alphanumeric recognition of printed or handwritten characters from images. Initially, OpenCV has been used to detect the bill or invoice from the image and filter out the unnecessary noise from the image. Then intermediate image is passed for further processing using Tesseract OCR engine, which is an optical character recognition engine. Tesseract intends to apply Text Segmentation in order to extract written text in various fonts and languages. Our methodology proves to be highly accurate while tested on a variety of input images of bills and invoices

Agricultural Object Detection with You Look Only Once (YOLO) Algorithm: A Bibliometric and Systematic Literature Review

Vision is a major component in several digital technologies and tools used in agriculture. The object detector, You Look Only Once (YOLO), has gained popularity in agriculture in a relatively short span due to its state-of-the-art performance. YOLO offers real-time detection with good accuracy and is implemented in various agricultural tasks, including monitoring, surveillance, sensing, automation, and robotics. The research and application of YOLO in agriculture are accelerating rapidly but are fragmented and multidisciplinary. Moreover, the performance characteristics (i.e., accuracy, speed, computation) of the object detector influence the rate of technology implementation and adoption in agriculture. Thus, the study aims to collect extensive literature to document and critically evaluate the advances and application of YOLO for agricultural object recognition. First, we conducted a bibliometric review of 257 articles to understand the scholarly landscape of YOLO in agricultural domain. Secondly, we conducted a systematic review of 30 articles to identify current knowledge, gaps, and modifications in YOLO for specific agricultural tasks. The study critically assesses and summarizes the information on YOLO's end-to-end learning approach, including data acquisition, processing, network modification, integration, and deployment. We also discussed task-specific YOLO algorithm modification and integration to meet the agricultural object or environment-specific challenges. In general, YOLO-integrated digital tools and technologies show the potential for real-time, automated monitoring, surveillance, and object handling to reduce labor, production cost, and environmental impact while maximizing resource efficiency. The study provides detailed documentation and significantly advances the existing knowledge on applying YOLO in agriculture, which can greatly benefit the scientific community

Development and Evaluation of Pasture Tree Cutting Robot: Proof-of-Concept Study

The encroachment of Eastern redcedar (ERC) (Juniperus virginiana L.) onto Great Plains prairies has become a serious threat to ecosystem functioning and grazing productivity. The uncontrolled spread of this invasive tree species has been called a »green glacier« converting grasslands into closed canopy woodlands. A pasture tree cutting robot was developed using a tracked Autonomous Ground Vehicle (AGV) equipped with a chainsaw bar to mitigate this green glacier dilemma. The prototype was fitted with amperage and voltage sensors to measure average power consumption and peak power requirements of tree cutting. It was evaluated on ERC and Honeylocust trees up to 20 cm in diameter. Cutting energy and time were determined to evaluate energy optimization and cutting time estimates. A pasture tree clearing energy consumption of the developed prototype was estimated for selected tree density/hectare. The prototype robot was successful in cutting down the intended size trees at a manageable power usage

Image Filtering in Message Passing Application

Message passing application is the medium of communication between two parties over the internet or server, the proposed system is going to design messages passing application in the form of images utilizing effective feature selection and pattern classification technique. This paper represents a messaging app in android which restrict the edited message in the form of image. DOI: 10.17762/ijritcc2321-8169.15021

Traditional Practice for Oral Health Care in Nandurbar District of Maharashtra, India

An ethnobotanical study was conducted from January 2006 to October 2008 to investigate the uses of medicinal plants for oral health care by different aborigines, such as Bhills, Gavits, Kokanis, Mavachis, Valvis, Pawras, Koknas and Vasaves, in the Nandurbar district of Maharashtra, India. Data were collected by interviewing native people, mainly elderly – engaged in farming and stock rising activities, housewives and local traditional medicinemen of different villages. The investigation revealed that a total 20 claims were obtained as distributed in 18 genera belonging to 14 families to treat various diseases and disorders of oral cavity, particularly in tooth decay. Information about local names, plant parts and different form of preparation used were recorded and are focused in given issue. In this study most commonly used family was Euphorbiaceae followed by Moraceae, Anacardiaceae, Fabaceae, Asteraceae, Acanthaceae, Meliaceae, Asclepiadaceae, Poaceae, Lythraceae, Sapotaceae, Cucurbitaceae, Rutaceae and Solanaceae. Present study indicated many tribal communities of visited villages of Nandurbar district still continue to depend on plant resources to meet their day-to-day needs and use plant based formulations from generation to generation for treatment of health related problems. Now, the tribal societies are progressing towards modernization; their knowledge of traditional use of plants might be lost. Therefore conservation of such heritage is warranted