Properties of AKR from an interferometer analysis of the ISEE-1 and -2 plasma wave data

Both ISEE 1 and 2 are equipped with identical wide-band analog plasma wave receivers which makes long baseline interferometry possible. A cross-correlation of the received signals from each spacecraft during periods of intense Auroral Kilometric Radiation (AKR) provides information on the source size of AKR. From the magnitude of the cross-correlation coefficient, measured over baselines from 40 Km to 8000 Km, an upper limit to the statistical source size can be determined. Thirty-five AKR events at 125 kHz are being analyzed. Preliminary results indicate that the apparent source sizes are smaller than .1 Re

Role of Virechana Karma in a Case of Vipadika w.s.r to Palmoplantar Psoriasis

Skin diseases of any form bring about huge social stigma along with the pain or trauma caused by the disease itself. This not only affects one’s physical health but also significantly disrupts self-esteem and quality of life. Psoriasis is an auto-immune disorder affecting 2-5% of the total population out of which 3-4% are affected by palmoplantar psoriasis, a variety of the disease where only the palm and sole is affected. In Ayurveda, this variety of psoriasis has been described as Vipadika, often associated with vitiation of Vata and Kapha doshas, leading to dryness, thickening of skin, and painful fissures. In this study, a female patient came to OPD with complaints of dry rashes in hands and foot was examined and after diagnosis was subjected to Virechana showing remarkable results on follow-up after 15 days

An Automatic ANFIS System for Classifying Features from Remotely Sensed Images Using a Novel Technique for Correcting Training and Test Data

The pattern data is collected by sampling the remotely sensing images, the training and test data for each feature could have wrong data belongs to the other features. This affected the performance of the trained nets. To enhance the proposed classifier efficiency, train it on corrected training data. So, a novel technique is applied to correct the training and test data, started by removing the noise pixels for all features. After that the training and test data are improved by excluding all repeated pixels that having the same colour values. This article presents the Adaptive Neuro-Fuzzy Inference System (ANFIS) working in an automatic way. It is designed to classify environmental features which have occurred from the Colorado wildfire. They are fires, dark fires, ash fires, clouds, ground and vegetation. These features are recorded by remotely sensed images. The system can rebuild the architecture of the ANFIS net according to three parameters. They are the kind of Membership Function (MSF), the number of MSF, and number of epochs. The proposed system is trained on the three groups. With each group, the system is designed having the ability to do many trials until get the best ANFIS net and find the best classification on test data and images. The system is applied on four different images, in order to check the performance of the trained ANFIS nets. The trained system provides an excellent classification of test data sets and the performance is 99.9%. Our study demonstrated the proposed classifier efficiency is improved; it is trained on corrected training data. Due to all specified features are correctly classified from the provided images. In addition to, the processing time for all experiments is reduced by about 50%

Modest Ayurvedic interventions in the management of Ekakustha w.s.r to Psoriasis: A Case Series

Psoriasis is a non-contagious, long-lasting autoimmune and chronic inflammatory skin disorder clinically characterised by erythematous, sharply demarcated papules and rounded plaques, covered by silvery micaceous scale. As per Ayurvedic texts, Psoriasis can be co-related with Ekakustha which is Vata-Kapha transcendent Kshudra Kustha. The prevalence of Psoriasis is between 0.44% and 2.8% in India and affecting up to 1% of world’s population, with men twice as likely to be affected as women. It is most common in people in their 3rd or 4th decade of life.  Ayurveda offers wide range of treatment option for this chronic disease under the broad heading Kustha. 5 patients of Ekakustha were selected from Panchakarma OPD. Classical Virechana Karma followed by Shamana Aushadhi (Mahamanjisthadi Kashayam, Arogyavardhini Vati, Gandhak Rasayan and Panchatiktaghrita Guggulu Vati), external application (Siddharthak Snan Churna and Brihat Marichyadi Taila) and lifestyle modification were prescribed for one month. After completion of treatment, marked improvement were noticed in subjective criteria, PASI score and pictorial representation. Follow up suggested no further progression of disease. Panchakarma therapy and Shamana Aushadhi along with lifestyle modification provides a safe and effective treatment option for Psoriasis, highlighting the potential of multi modal Ayurvedic interventions in Psoriasis

The Impact of International Accreditation on The Quality of Health Services at King Fahd University Hospital, Saudi Arabia: A Mixed Methods Approach

The Joint Commission International Accreditation (JCIA) is perceived worldwide as the symbol of exceptional quality of care. Despite the popularity of international accreditation, evidence of its effectiveness on improving health care quality is inconclusive. This dissertation research utilized a Convergent parallel mixed method framework to evaluate the impact of the JCIA process on quality and to identify the factors that influence the effectiveness of this process at King Fahd Hospital of the University in Khobar, Saudi Arabia. An interrupted time series analysis was conducted to assess the changes in a total of 12 quality outcomes pre and post accreditation. Furthermore, a qualitative approach was used to investigate the attitudes and perceptions of 31 health providers towards this process and the factors that influence its success. The quantitative results suggested that the JCIA had a positive impact on 9 out of 12 outcomes. The improved quality outcomes included: the average length of stay, the percentage of hand hygiene compliance, the rate of nosocomial infections, the percentage of radiology reporting outliers, the rate of pressure ulcers, the percentage of the correct identification of patients prior to medication administration, the percentage of critical lab reporting within 30 minutes, and the bed occupancy rate. The outcomes that did not improve were the rate of patients leaving the ER without being seen, the percentage of OR cancelations on the day of the or and the rate of patient falls. The qualitative analysis suggested that the JCIA was perceived positively by all participants. Some of the perceived advantages of international accreditation included the transformation of the organizational culture to a culture that promotes continuous quality improvement, standardization, and the reduced paperwork in some departments. The participants’ responses also indicated that there were many factors that influence the success of the process. Examples of the factors identified in the study include the increased workload and the providers’ resistance to participate in the JCIA process. In conclusion, international accreditation seemed to have a positive impact on quality outcomes and was received positively by providers. Nevertheless, the factors that hindered the JCIA process need to be addressed by the hospital’s leadership to ensure more efficient quality improvement efforts during future accreditation cycles

quTARANG: A python GPE solver to study turbulence in quantum systems

quTARANG is a Python-based general-purpose Gross-Pitaevskii Equation (GPE) solver. It can solve GPE in 1D, 2D and 3D and has the ability to run on both CPU and GPU. It has been developed to study turbulence in quantum systems, specifically in atomic Bose-Einstein condensates, and can be used to study different quantities, such as the varied spectra associated with quantum turbulence.Comment: 6 Pages, submitted to JOSS for publication, typos correcte

Geomorphic Indices Analysis of the Rawandoz River Basin, Erbil, Kurdistan Region, Iraq

The Rawanduz river basin locates in Erbil, Kurdistan Region, northestern part of Iraq. This study focus to deduce the tectonic activity of Rawanduz river basin by means of using geomorphic indices.The management information programs in generating a geomorphic indices based on Aster DEM 12.5 m resolution data to analyze the drainage scenario of study region from ArcGis platform software (GIS 10.8). Tectonic activity indicated from diffrendent geomorphic variable indices by using the Iat categorize which has four main classes, and the main tectonic action of the region was indicated appropriately which is 2.33, indicating that the basin's tectonic activity is in moderate to active stage and it is representing that the basin is situated tectonically inside the High Folded Zone, Imbricated Zone, and Zagros Suture Zone, or has been impacted by the same tectonic forces in the past geological period, including the final orogenic forces that are still active

Difficulties in solving non-routine problems: preliminary analysis and results

Students have been taught to solve problems since primary school. However, they still have been having difficulties in solving mathematics problems, especially non-routine problems. By searching errors in mathematics skills and cognitive abilities that have been causing difficulties in solving non-routine problems, this study aims to determine the dominant difficulties that high-achieving students commonly face. A problem-solving test (PST) that comprises four non-routine problems involving algebra was distributed to 56 Form Four selected students through purposive sampling. Each problem is followed by a reflection that allows students to describe the difficulties they face while solving the problem. Hence, the qualitative and quantitative analysis of answer scripts as well as students’ reflection shows that the dominant difficulties faced by high-achieving students when solving non-routine problems are language and information management skills. Poor mastery of these two skills has resulted in students being unable to decipher the problem accordingly which then leads to failing to solve the problems. The findings of this study provide important insight for educators and also researchers in assisting students to deal with their difficulties to solve non-routine problems