Prediction and Judgmental Adjustments of Supply-Chain Planning in Festive Season

For a robust performance Shipping costs planning in festive seasons is given the input data as free from trends season-of-year effects etc Seasonal forecasting for supplychain planning with past few years of similar data impact shipping costs Additionally during a festive season of the year unbiased and accurate prediction of shipment load plays a major role in bringing up sales Time-series forecasting methods can be useful to remove traditional fluctuations due to gap in months-of-year of festivals We describe exponential smoothing techniques and trend fitting methods and compare the predictive accuracy The accuracy is compared using rootmean square error and median absolute deviation The exponential smoothing shows changing behavior with increased data size and data item values The data is compared with and without tuning the seasonal effects due to festive seaso

Human emotions recognition, analysis and transformation by bioenergy field in smart grid using image processing

The passage of electric signals throughout the human body produces an electromagnetic field, known as the human-biofield, carries information about a person's psychological health. The human biofield can be rehabilitated by using healing techniques like sound therapy, and many others in smart grid. However, psychiatrists, and psychologists often face difficulties in clarifying the mental state of a patient in a quantifiable form. Therefore, the objective of this research work was to transform human emotions using sound healing therapy and produce visible results as a novel. The present research is based on the amalgamation of image processing and machine learning techniques, including a real-time aura-visualization-interpretation and an emotion-detection classifier. The experimental results highlight the effectiveness of healing emotions through the aforementioned techniques. The accuracy of the proposed method, specifically the module combining both emotion and aura, was determined to be ~88%. Additionally, the participants’ feedbacks were recorded and analyzed based on prediction and overall satisfaction. The participants were strongly satisfied with the prediction level (~81%) and future recommendation level (~84%). The results indicate the positive impact of sound therapy on emotions and the biofield. In future, experimentation using different therapies, and integrating more advanced techniques are anticipated to open a new gateways in healthcare

Retinitis pigmentosa and congenital toxoplasmosis: A rare coexistence

We describe a previously unreported co-existence of retinitis pigmentosa and congenital toxoplasmosis. An eight year old male presented to our center with complaints of decreased night vision. Fundus evaluations in both the eyes demonstrated features typical of retinitis pigmentosa. There were well-defined punched out healed chorio-retinal scars suggestive of congenital toxoplasmosis. On the basis of history, clinical findings and reduction of a and b wave amplitudes on scotopic and photopic electroretinograph, a diagnosis of retinitis pigmentosa with congenital toxoplasmosis was made. Retinitis pigmentosa may co-exist with congenital toxoplasmosis that may affect the patient′s overall ocular morbidity and visual acuity

Human Emotions Recognition, Analysis and Transformation by the Bioenergy Field in Smart Grid Using Image Processing

The passage of electric signals throughout the human body produces an electromagnetic field, known as the human biofield, which carries information about a person’s psychological health. The human biofield can be rehabilitated by using healing techniques such as sound therapy and many others in a smart grid. However, psychiatrists and psychologists often face difficulties in clarifying the mental state of a patient in a quantifiable form. Therefore, the objective of this research work was to transform human emotions using sound healing therapy and produce visible results, confirming the transformation. The present research was based on the amalgamation of image processing and machine learning techniques, including a real-time aura-visualization interpretation and an emotion-detection classifier. The experimental results highlight the effectiveness of healing emotions through the aforementioned techniques. The accuracy of the proposed method, specifically, the module combining both emotion and aura, was determined to be ~88%. Additionally, the participants’ feedbacks were recorded and analyzed based on the prediction capability of the proposed module and their overall satisfaction. The participants were strongly satisfied with the prediction capability (~81%) of the proposed module and future recommendations (~84%). The results indicate the positive impact of sound therapy on emotions and the biofield. In the future, experimentation using different therapies and integrating more advanced techniques are anticipated to open new gateways in healthcare

Human emotions recognition, analysis and transformation by bioenergy field in smart grid using image processing

The passage of electric signals throughout the human body produces an electromagnetic field, known as the human-biofield, carries information about a person's psychological health. The human biofield can be rehabilitated by using healing techniques like sound therapy, and many others in smart grid. However, psychiatrists, and psychologists often face difficulties in clarifying the mental state of a patient in a quantifiable form. Therefore, the objective of this research work was to transform human emotions using sound healing therapy and produce visible results as a novel. The present research is based on the amalgamation of image processing and machine learning techniques, including a real-time aura-visualization-interpretation and an emotion-detection classifier. The experimental results highlight the effectiveness of healing emotions through the aforementioned techniques. The accuracy of the proposed method, specifically the module combining both emotion and aura, was determined to be ~88%. Additionally, the participants’ feedbacks were recorded and analyzed based on prediction and overall satisfaction. The participants were strongly satisfied with the prediction level (~81%) and future recommendation level (~84%). The results indicate the positive impact of sound therapy on emotions and the biofield. In future, experimentation using different therapies, and integrating more advanced techniques are anticipated to open a new gateways in healthcare

Primary gastric tuberculosis mimicking a submucosal tumor

Gastric tuberculosis is very rare and is usually associated with pulmonary tuberculosis. Endoscopically, it usually resembles peptic ulcer disease or malignancy. We present a 28-year-old female who had a submucosal lesion in the body of the stomach that mimicked a submucosal tumor. Endoscopic ultrasound guided fine needle aspiration yielded caseous material, and the cytological examination confirmed the diagnosis of tuberculosis

Studies on Development of Polymeric Materials Using Gamma Irradiation for Contact and Intraocular Lenses

For the development of materials for contact lenses and intraocular lenses, the selection criteria is based on the (i) capacity to absorb and retain water, (ii) hydrophilicity and hydrophobicity, (iii) refractive index and (iv) hardness besides the other essential properties. Various monomers are being studied to develop suitable materials for such applications. Selection of suitable monomers that can be converted into optical materials of desired characteristics is the most essential step. In the present paper, an attempt has been made to develop suitable optical polymers based on 2-hydroxy ethyl methacrylate (HEMA), N-vinyl pyrrolidone (NVP), methyl methacrylate (MMA), methacrylic acid (MAA), and styrene. Compositions were prepared in such a way that polymers of varying hydrophilicity or hydrophobicity could be obtained keeping HEMA as the base (main) monomer. For polymerization, gamma irradiation (Co-60 as a source) was used. The results of the study showed that: (i) an increase in NVP and MAA content brought in an increase in hydrophilicity of polymerized HEMA (pHEMA), while the addition of styrene and MMA decreased hydrophilicity of polymerized HEMA (pHEMA), (ii) polymers for contact lenses with water retention capacity as high as >50 wt.% and as low as <10 wt% with varying content of suitable comonomers can be designed, (iii) polymeric materials for contact lenses can be made by using radiation processing such as Co-60 and (iv) a dose of 40 kGy was found to be ideal for purpose