Socio-economic Impact Assessment of Livelihood Security in Agriculture, Animal Husbandry and Aquaculture on the Tsunami-hit Lands of Andaman

Indian subcontinent is highly vulnerable to major natural disasters such as earthquakes, cyclones, floods, droughts, landslides and bushfires. Tsunami, which is a recent addition to this list, had occurred in the early morning of 26th December 2004, after a massive earthquake of 9.2 magnitude on the Richter scale in Andaman & Nicobar islands, resulting in the submergence of large area of farmland, and subsequent drying up of water bodies. It caused moisture stress for the standing crops, livestock and fisheries and affected the livelihood of the people to a large extent. In this context, the present study has been carried out to make the socio-economic impact assessment of livelihood security in agriculture, animal husbandry and aquaculture on the tsunami-hit lands of Andaman. Data have been collected from 150 sample respondents and the survey has been conducted for two periods, pre-tsunami and post-tsunami. The results have indicated that tsunami has ravaged the households, standing crops, farm inputs such as seed, feed and implements, livestock and poultry population, their sheds, fish ponds, etc., thereby affecting the basic livelihood security of the people in Andaman. The rehabilitation measures taken by the government and NGOs have improved their livelihoods by reviving agriculture considerably in the subsequent years and by creating employment opportunities in various farm and non-farm activities. The paper has suggested creating profitable livelihood security to vulnerable sections of the society in the existing socio-economic penury with holistic intervention of the community, government and NGOs.Agricultural and Food Policy,

Condition based Ensemble Deep Learning and Machine Learning Classification Technique for Integrated Potential Fishing Zone Future Forecasting

Artificial Intelligence (AI) technologies have become a popular application in order to improve the sustainability of smart fisheries. Although the ultimate objective of AI applications is often described as sustainability, there is yet no proof as to how AI contributes to sustainable fisheries. The proper monitoring of the longitudinal delivery of different human impacts on activities such as fishing is a major concern today in aquatic conservation. The term "potential fishing zone" (PFZ) refers to an anticipated area of any given sea where a variety of fish may congregate for some time. The forecast is made based on factors including the sea surface temperature (SST) and the sea superficial chlorophyll attentiveness. Fishing advisories are a by-product of the identification procedure. Normalization and preliminary processing are applied to these unprocessed data. The gathered attributes, together with financial derivatives and geometric features, are then utilised to make projections about IPFZ's Technique are used to get the final determination (CECT). In this study, we offer a technique for identifying and mapping fishing activity. Experimentations are performed to validate the efficacy of the CECT method in comparison to machine learning (ML) and deep learning (DL) methods across a variety of measurable parameters. Results showed that CECT obtained 94% accuracy, while Convolutional neural network only managed 92% accuracy on 80% training data and 20% testing data

Профессор С. С. Сулакшин (1919-2011)

Ушел из жизни основатель кафедры бурения скважин, доктор технических наук, профессор, Заслуженный деятель науки и техники Российской Федерации, Лауреат премии Совета Министров СССР, Почётный разведчик недр, Отличник разведки недр, Почётный академик АЕН РФ, "Почетный работник профессионального образования Российской Федерации" - Степан Степанович Сулакшин

The Sodium Absorption Ratio in Neyveli Aquifer

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv

Antiatherogenic activity of silybin in Wistar rats: an experimental study

Background: Dyslipidemia is the major contributor to an increased risk of atherosclerosis. Furthermore, Atherosclerosis presently comprises one of the essential contributors to a global epidemic of cardiovascular disease and turn out to be the leading cause of death and disability worldwide. Natural antioxidants have been shown to be effective in reducing lipid profiles and mitigate peroxidative modification of lipoproteins and atherosclerosis. The aim of the study was to explore the antiatherogenic effect of silybin through its antioxidant mechanism in Wister rats fed on hypercholesterolemic diet.Methods: Male Wistar rats of 150-200 g were used for this study. Hypercholesterolemia in rats was induced by administration of high cholesterol diet. The Wister rats were divided into four groups, each with eight rats. After 60 days blood samples were drawn by retro-orbital puncture for biochemical analysis. The animals were sacrificed by cervical dislocation and liver and aorta were dissected out and processed for histopathological study and biochemical analyses.Results: In the histopathological study high cholesterol fed Wister rats showed fatty degeneration of hepatocytes with leucocytic infiltration of sinusoids. The level of TBARS was significantly increased in high cholesterol diet fed rats (p<0.05). Silybin at both doses [300 mg/kg (1593.00±81.08) and 600 mg/kg (1596.00±28.81)] reduced the plasma TBARS significantly (p<0.05). The antioxidant enzyme levels were also reduced significantly in high cholesterol diet fed rats (p<0.05).Conclusions: The study suggests a conclusive evidence of silybin has antiatherogenic action. Its safety profile, availability and low cost are an added advantage to the presently available pharmacological therapy. Hence, silybin can be considered in conjunction with other available dyslipidemic medication in the market

DEVELOPMENT AND VALIDATION OF SEVEN PHENYL HYDRAZINE CHLORO ESTER ISOMERS (PGIs) BY RP-HPLC-UV METHOD IN ANTICOAGULANT DRUG SUBSTANCE; APIXABAN

Objective: The objective of this work was to develop and validate a simple and sensitive reverse-phase high-pressure liquid chromatography method for the determination of seven potential genotoxic impurities in Apixaban drug substance. Methods: The optimized separation was achieved by using ACE 3 C18 PFP (150 mm×4.6 mm, 3 µm) HPLC column. The mobile phase-A was a degassed mixture of 0.01M Ammonium acetate buffer(PH adjusted 4.9±0.05 with diluted glacial acetic acid) and mobile phase-B was a degassed mixture of Acetonitrile, Isopropyl alcohol and Buffer PH 4.9 in the ratio of 60:20:20 v/v/v. The gradient program was operated at a flow rate of 1.0 ml/min and UV detection was at 330 nm. Results: The method was superior at linearity for seven impurities and correlation coefficient values were larger than 0.999, moreover, in the separation point of view, this method further achieved no matrix interference through chromatography by better resolution of the other impurities from the Apixaban drug substance and its related impurities for the accurate analysis of seven potential genotoxic impurities. The established limits of detection (LOD), limits of quantification (LOQ) values for the seven mutagenic impurities were each of 5 ppm (0.015µg/ml) and15 ppm (0.045µg/ml) respectively. The developed method was validated as per ICH guidelines and applied as a generic method to determine these seven potential genotoxic impurities for the pharmaceutical process control and drug material release. Conclusion: Validation of this analytical method was carried out including stability, selectivity, linearity, accuracy, system precision, method precision and intermediate precision thus proving that the described RP-HPLC method could be employed for fast and simple analysis of sevenphenyl hydrazine chloro ester isomers in Apixaban drug substance

Fat mass: a novel digital biomarker for remote monitoring that may indicate risk for malnutrition and new complications in decompensated cirrhosis

Background: Cirrhosis is associated with sarcopaenia and fat wasting, which drive decompensation and mortality. Currently, nutritional status, through body composition assessment, is not routinely monitored in outpatients. Given the deleterious outcomes associated with poor nutrition in decompensated cirrhosis, there is a need for remotely monitoring this to optimise community care. // Methods: A retrospective analysis was conducted on patients monitored remotely with digital sensors post hospital discharge, to assess outcomes and indicators of new cirrhosis complications. 15 patients had daily fat mass measurements as part of monitoring over a median 10 weeks, using a Withing’s bioimpedance scale. The Clinical Frailty Score (CFS) was used to assess frailty and several liver disease severity scores were assessed. // Results: 73.3% (11/15) patients were male with a median age of 63 (52–68). There was a trend towards more severe liver disease based on CLIF-Consortium Acute Decompensation (CLIF-C AD) scores in frail patients vs. those not frail (53 vs 46, p = 0.072). When the cohort was split into patients who gained fat mass over 8 weeks vs. those that lost fat mass, the baseline CLIF-C AD scores and WBC were significantly higher in those that lost fat (58 vs 48, p = 0.048 and 11.2 × 109 vs 4.7 × 109, p = 0.031). // Conclusions: This proof-of-principle study shows feasibility for remote monitoring of fat mass and nutritional reserve in decompensated cirrhosis. Our results suggest fat mass is associated with greater severity of acute decompensation and may serve as an indicator of systemic inflammatory response. Further prospective studies are required to validate this digital biomarker

A CNN and LSTM-based Model for Creating Captions for Photos

Can a machine interpret an image's meaning with the same speed as the human brain when it is seen? This problem was heavily researched by computer vision specialists, who believed it to be unsolvable until recently. It is now possible to develop models that can generate captions for pictures because of advancements in deep learning techniques, accessibility to large datasets, and processing power. This will be accomplished by the Python-based implementation of the article's deep learning convolutional neural network technique and a particular kind of recurrent neural network. Here the proposed model uses CNN and LSTM methods to achieve desired tas

MANAGEMENT OF INDIGENOUS RESOURCES FOR PROMOTION OF INDIGENOUS TOURISM: A STUDY OF SELECTED TRIBAL DISTRICTS OF MADHYA PRADESH

This research article aims to explore indigenous tourism and people, which is a hidden tourist treasure that can be showcased to the outer world for future research gaps. This study is an attempt to reflect the problems, concepts, scope, Government tourism policies, objectives, hypothesis research design, and limitations in the first chapter, followed by an extensive review of the literature to understand the impacts of indigenous tourism on indigenous community, perspectives of the indigenous community of promotion of indigenous tourism, management of indigenous resources, and tourist demands. Data was collected from the tourist respondents who are the direct beneficiaries of indigenous tourism at Balaghat, Mandla, and Dindori districts. In this backdrop, the study aims to portray the trend of results for making Indigenous tourism a viable business option by branding and positioning the study area in the international tourist map. Two questionnaires, one for tourists and another for the indigenous community, were made. The analysis of tourist data is in three parts. The first part is related to the demographic profile of tourists. The second part includes travel-related information, and the third part includes tourist activity. The analysis of community data is in three parts. The first part is related to the demographic profile of the community. The second part includes the impact of indigenous tourism on the community, and the third part includes perspectives of indigenous communities on indigenous tourism promotion. The findings reflect the socio-demographic profile of the members of the community. The tourist questionnaire yielded valuable insights with respect to travel information, preferences and behaviour, as well as activities undertaken by the tourists. The underlying factors influencing the impact of tourism on the community were found to be 1) Creation of Human Resources, 2) Social Incapacity, 3) Conservation Focus, 4) Community Awareness and Participation, 5) Promotion of Local Products, and 6) Infrastructure Improvement. Suggestions have been put forward in connection to developing a better understanding of the target customer, and the tourist market in general; recreation and accommodation options; further research, promotion programs, branding; and greater focus in the making of tourism policy

Antimicrobial nature of specific compounds of Ampelomyces quisqualis identified from gas chromatography-mass spectrometry (GCMS) analysis and their mycoparasite nature against powdery mildew of grapes

Grapevine powdery mildew is the world's most important plant disease, and Ampelomyces frequently fight them. While it does not usually cause plant death, its major infections can result in significant production losses and severely impact wine quality. Fungicides are frequently used to control the disease, which can have long-term adverse effects on the ecosystem. As a result, alternative and environmentally friendly disease management approaches must be developed. The study aimed to reduce costly and toxic fungicide use by using Ampelomyces, a natural biofungicide, against various powdery mildew fungi. GC-MS analysis was also used to determine the antagonistic potential and efficacy of volatile organic chemicals produced by several Ampelomyces spp. against Erysiphe necator, which causes powdery mildew of grapes. The molecular characterization of A. quisqualis isolates based on using rDNA ITS region was also carried out and sequenced. GC-MS analysis identified various antimicrobial compounds, such as squalene (4.643%), octadecanoic acid (3.862%), tetradecanoic acid (3.600%), and 9,12-octadecadienoic acid (Z,Z) (1.451%). The least abundant compounds were 2-Hexadecanol, 1-Tricosanol, and 2-propenyl ester, with percentages of 0.485, 0.519, and 0.560, respectively. These bioactive compounds revealed by GC-MS analysis in crude extracts of A. quisqualis had a stronger antifungal and antibacterial activity against E. necator. As a result, using A. quisqualis to control the powdery mildew of grapes significantly reduced pathogen growth and disease incidence