22 research outputs found
Epidemiology of loneliness & social isolation, an emerging public mental health predicament in India: a scoping review
No full textAbstract Background Loneliness and Social Isolation (SI) has evolved into an epidemic and WHO has alarmed many developed and developing countries that their citizens are going through the epidemic of loneliness and SI. It affects the Mental Health status of a person & leads to morbidities and premature death. Loneliness and SI are overlooked subjects resulting in poor research turnover. This scoping review has explored the extent of literature availability on loneliness and SI in India Objective To evaluate the availability of literature on loneliness and SI in India Methods A scoping review was conducted using predetermined search terms in Google Scholar and PubMed, selecting only open-access articles. Selected articles were scrutinized for their quality with the help of STROBE & COREQ checklists before entering into the review Results A total of 155 articles were screened and after excluding the duplicates129 articles were chosen for the next step to screen for inclusion criteria and finally nine articles were selected for this review. The highest prevalence of loneliness and SI reported was 37.6% and the lowest was 18.3% Conclusion There is a lack of literature on loneliness and such available kinds of literature are done among the geriatric population only. The scientific community should focus on this emerging domain and come out with true prevalence rates among different age groups so that effective strategies can be devised to address this latent yet significant mental health issue in India
Inclusive Strategy for Small and Marginal Farmers in Tapioca Production, Processing and Marketing
No full textThis study was conducted to explore the post-harvest value addition opportunities for tapioca, identify the constraints faced by small and marginal farmers in processing and to suggest a strategy. Primary data from 60 tapioca farmers of Elamadu Grama Panchayath of Kollam district, Kerala were collected through interview schedule. Expert opinion was collected from the Scientists of Kerala Agricultural University (KA U), KVK, and CTCRI etc. to screen the appropriate technology for tapioca value addition. The data obtained were analysed using percentage analysis, SWOC and COWS analysis. It was found that a number of farmers were involved in tapioca cultivation and could produce marketable surplus, but were not engaged in any post-harvest value addition activities. Indeed, farmers have expressed their willingness to start value addition jointly as a group. The technocrats opined that tapioca snacks and chips are better options for value addition at farm level. The study highlighted the need for an exclusive organisation for tapioca cultivation, marketing and processing. Initiating farmer driven producer organisations and consumer linked value chain would be a promising strategy for livelihood of small and marginal farmers of tapioca
Inclusive Strategy for Small and Marginal Farmers in Tapioca Production, Processing and Marketing
No full textThis study was conducted to explore the post-harvest value additionopportunities tapioca, identify the constraints faced by small and marginalfarmers in processing and to suggest a strategy. Primary data from 60 tapiocafarmers of Elamadu Grama Panchayath of Kollam district, Kerala werecollected through interview schedule. Expert opinion was collected from theScientists of Kerala Agricultural University (KAU), KVK, and CTCRI etc.to screen the appropriate technology for tapioca value addition. The dataobtained were analysed using percentage analysis, SWOC and COWS analysis.It was found that a number of farmers were involved in tapioca cultivation andcould produce marketable surplus, but were not engaged in any post-harvestvalue addition activities. Indeed, farmers have expressed their willingness tostart value addition jointly as a group. The technocrats opined that tapiocasnacks and chips are better options for value addition at farm level. The studyhighlighted the need for an exclusive organisation for tapioca cultivation,marketing and processing. Initiating farmer driven producer organisationsand consumer linked value chain would be a promising strategy for livelihoodof small and marginal farmers of tapioca
Bilateral Chronic Subdural Hematoma and Blindness: Bilateral Infarction to the Posterior Cerebral Artery following Evacuation of Bilateral Chronic Subdural Hematoma — A Rare Case Report and Review of Literature
No full text
Objective The authors report a rare scenario in which evacuation of bilateral chronic subdural hematoma (CSDH) was followed by bilateral PCA infarction and blindness. A literature review was also conducted, which revealed only four cases of blindness after CSDH evacuation.
Methods A 45-year-old man was admitted with the chief complaint of holocranial headache for 2 months with past history of head trauma. Clinical examination was normal. CT and MRI scanning showed bilateral frontotemperoparietal CSDH without midline shift and parenchymal and vascular abnormality. Bilateral frontal and parietal burr holes and evacuation of CSDH was done.
Results The patient developed progressive blindness in both the eyes in the postoperative period. MRI revealed bilateral PCA infarction.
Discussion Bilateral PCA infarction following bilateral CSDH evacuation is an extremely rare entity. Only four case of blindness following CSDH evacuation have been reported so far, and all the patients suffered permanent visual loss. The exact etiopathogenesis and mechanism of this rare complication remain unknown.
Conclusion Bilateral CSDH is a separate entity with altered pathophysiology and deranged cerebral autoregulation. The authors conclude that Bilateral CSDH may be sentinel tags for bilateral PCA infarction secondary to altered hemodynamics in the posterior circulation, and hence, needs to be evaluated and treated with greater diligence.</jats:p
A new technique to classify transient events in power transformer differential protection using S-transform
No full textConstraint Analysis of Paddy Promotion Programmes under Decentralized Planning
No full textA study was conducted in Thrissur district of Kerala, with the objective to find out the constraints felt by the beneficiary farmers and extension personnel while implementing of paddy promotion programmes under decentralized planning. Ex-post facto research design was employed and multi-stage sampling method was followed. Thirty farmers, each identified from three gramapanchayats viz;Adat, Arimpur and Chelakkara and 30 extension personnel representing 3 blocks of Thrissur district were surveyed. Analysis was carried out using Kruskal Wallis test. The dimension wise constraints perceived indicates that financial, time, infrastructural, knowledge, market and scheme feature were the most severe, followed by manpower and input constraints as more severe in Arimpur panchayat. The major constraints perceived by the extension personnel were manpower constraints, financial, scheme feature, input, time and infrastructural constraints, in that order
Perception of Farmers about Kisan Credit Card Scheme
No full textIn order to ensure a hassle-free system in dispensing credit to farmers, the concept of Kisan Credit Card (KCC) was introduced in 1998 and operated at the grass root level. This study was conducted with 60 KCC holders of Adat Farmer\u27s Service Co-Operative Bank (A FSCB) in Adat village of Thrissur district. Eighty seven percent of KCC holders have agriculture as the mainstay of livelihood. Majority of the respondents opined that the interest rate and present credit limit of KCC was at a moderate level. Two thirds of the respondents expressed that procedural formalities were moderate for getting KCC and also to get credit in time. The Scheme was perceived as good by a majority of respondent
Differential Protection for Power Transformer Using Wavelet Transform and PNN
No full textA new approach for protection of power transformer is
presented using a time-frequency transform known as Wavelet transform.
Different operating conditions such as inrush, Normal, load,
External fault and internal fault current are sampled and processed
to obtain wavelet coefficients. Different Operating conditions provide
variation in wavelet coefficients. Features like energy and Standard
deviation are calculated using Parsevals theorem. These features
are used as inputs to PNN (Probabilistic neural network) for fault
classification. The proposed algorithm provides more accurate results
even in the presence of noise inputs and accurately identifies inrush
and fault currents. Overall classification accuracy of the proposed
method is found to be 96.45%. Simulation of the fault (with and
without noise) was done using MATLAB AND SIMULINK software
taking 2 cycles of data window (40 m sec) containing 800 samples.
The algorithm was evaluated by using 10 % Gaussian white noise
