The journal of applied research (J Appl Res Clin Exp Therapeut)

Journal description

The Journal of Applied Research, a peer reviewed clinical medical journal, is a "rapid review" publication. It has as it's mission the publication in a timely manner fundamental scientific, diagnostic and treatment knowledge gained from prospective and retrospective research. The sole criteria for publication is scientific accuracy.

Current impact factor: 0.00

Impact Factor Rankings

Additional details

5-year impact 0.00
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.00
Website Journal of Applied Research website
Other titles Journal of applied research (Online), Journal of applied research in clinical and experimental therapeutics
ISSN 1537-064X
OCLC 56719599
Material type Periodical, Internet resource
Document type Internet Resource, Journal / Magazine / Newspaper

Publications in this journal

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    ABSTRACT: A multi-disciplinary approach should be encouraged for the management of patients who attend general hospitals, in order to facilitate early recognition and management of psychiatric problems1. Methodology: This is a cross sectional descriptive study with 150 patients from medicine ward between 18- 65 years of Age group, either gender. Patient Health Questionnaire was used to assess anxiety, depression and somatic symptoms. Results: Maximum samples belongs to 25-35 age group (28%), 60 (40%) male, 62% of participants were completed secondary education, 56% of patients were self employed. 75 (50%) patients were suffering with mild anxiety, severe anxiety was found to be only 4 (2%). Mild Depression is found among 90 (60%) patients. 78 (52%) samples had Somatic symptoms with mild intensity. Occupation is found highly significant with somatic symptoms. Conclusion: Availability and accessibility all psychiatric treatment & psychological therapies at outpatients departments will reduce its burden.
    No preview · Article · Mar 2015 · The journal of applied research
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    ABSTRACT: Handwriting recognition is a widely implemented technology to electronically identify handwritten text. In online handwriting recognition, text written on a touch surface of an electronic touch device is dynamically recognized based on the movements of a writing device (digital pen, a finger, or a stylus) and presented to the user after each continuous stroke such as a character or word is entered. Therefore, the user is able to edit a character or a word in the event of incorrect recognition of text by the electronic device as soon as it is presented to the user. On the other hand, in offline handwriting recognition, recognition of characters occurs by identifying characters from an image of handwritten text instead of the user writing on a touch surface. Here, the recognized text is presented to a user only when the entire handwritten text represented in the image is recognized. An Artificial Intelligence based Neural system is successful when it is trained properly. The basis of training a neural network is to prepare the system to recognize various combinations of possibilities of characters. From a larger picture this is the key requirement for training a neural network. But there are underlying principles in training a neural network. In other words, training is not a simple record and process technique but also a technique which decides the working logic of the processing algorithm. This paper discusses some of the key features of training a neural network along with some key training methodologies for Handwritten character recognition system.
    No preview · Article · Apr 2014 · The journal of applied research
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    ABSTRACT: Depletion of petroleum derived fuel and environmental concern have emphasized the need to produce sustainable renewable fuels and chemicals. Biofuel from renewable sources can be an alternative to impart a remarkable role for maintaining sustainability and security in energy sector. A complete substitution of petroleum derived fuels by biofuel is impossible yet, marginal replacement of fossil fuels by biofuels can delay the depletion of petroleum resources and abate the radical climate change caused by automotive pollutants. Biofuels are broadly classifed into three categories: frst generation biofuels-from biomass that is usually edible; second generation biofuels-from lignocellulosic feedstocks or municipal wastes; third generation biofuels- from microorganisms, majorly from algae. In terms of food security, the use of those energy crops which are used as food products for biofuel production is of concern. Biofuel production using microalgae is attractive prospect in this scenario. The review presents an overview of the usage and sustainability challenges of biofuels.
    No preview · Article · Jan 2014 · The journal of applied research

  • No preview · Article · Jan 2014 · The journal of applied research

  • No preview · Article · Jan 2014 · The journal of applied research

  • No preview · Article · Dec 2013 · The journal of applied research