Background: In diabetes sometimes the disease become resistant to the treatment even by conventional system of medicine Hence there is an urgent need to develop effective and affordable Ayurvedic drug or treatment module in this disease. Hence an effort has been made to evaluate the effect of guduchighanavati and silajatuvati in cases of NIDDM. Guduchi is reported as a highly potent anti diabetic herb and Silajatu as a Naimittika Rasayana for Madhumeha. Aim: The aim of this study is to evaluate combined effect of Guduchi Ghana Vati & Shilajatu Vati in Madhumeha. Materials and Methods: A minimum of 40 patients suffering from Madhumeha were selected after thorough history taking, clinical assessment and laboratory investigation from IPD & OPD of MIAMS to evaluate the Guduchi Ghana Vati(500mg), Shilajatu Vati(250mg) and Guduchi Ghana Vati(500mg) alone in GroupA & group B Patients. Statistical Analysis: The results were statistically interpreted using Student’s ‘t’-test for paired and unpaired data to assess the statistical signifiance and the signifiant level was set at P < 0.05. Results: GGV and SV showed mild reduction in FBS 32% , PPBS 40%, urine Sugar 61%, Lipid Profile(Total Cholesterol)31% and overall 95% improved in GroupA and GGV(Control Drug) FBS 20% , PPBS 28%, urine Sugar 60%, Lipid Profile(Total Cholesterol) 27% and overall 80% improved. Conclusion: After evaluating the observation of the present series of investigation it is concluded that Guduchi Ghana Vati and Shilajatu Vati has a beneficial role in reducing the severity of all the Subjective & Objective Parameter. The Trial group drug showed good tolerability with high acceptance without any adverse drug reaction. The use of Guduchi Ghana Vati and Shilajatu vati provides better alternative which are usually less toxic and affordable.

India is home to an extraordinary variety of climatic regions, ranging from tropical in the south to temperate and alpine in the Himalayan north, where elevated regions receive sustained winter snowfall. The nation’s climate is strongly influenced by the Himalayas and the Thar Desert. To study this diversity throughout the India one should know the factors which are responsible for Ritu prevalence in various states of India according to Ayurveda and Modern Science. Ancient Ayurveda describes Ritus according to geography of India, same like Modern Science. Every individual have to adopt change in Aahara-Vihara, vegetation and weather according to various Ritus

The most common disorder which affects the movement of leg particularly in most productive period of life is low back pain, out of which 40% of persons will have Radicular pain. Such presentations were common in olden period too and ancient science of life named it as Gridhrasi. It is considered as Shoola Pradhana Vata Vyadhi. This is a case study of 55 year old female patient suffering from Low back ache and radiating pain in right lower limb since 4 years. Patient came with the classical Gridhrasi symptoms. Patient had taken allopathic oral medicines but did not got any relief. This case is treated with Dashamoola Kashaya Adhokayaseka, Astakatvara Taila Matra Basti and Kamsakhya Guggulu. Management-1]Dashamoola Kashaya Adhokayaseka 30 minutes for 8 days. 2]Astakatvara Taila Matra Basti 48ml for 8 days. 3]Kamsakhya Guggulu 1gm/day for 30 days after food. Results and Conclusion – Dashamoola Kashaya Adhokayaseka, Astakatvara Taila Matra Basti and Kamsakhya Guggulu have significant therapeutic value in Gridhrasi.

Background: Artificial insemination (AI) is a procedure in which sperm are placed in the cervix or high in the uterine cavity through a transcervical catheter. The aim is to deposit sperm as close to the oocyte as possible (ASRM, 2006). It may be preceded by ovarian stimulation with gonadotropins or clomiphene to encourage multiple oocytes development, especially in cases of unexplained infertility (Mathuret al., 2007).Sperm separation procedures are able to significantly improve the sperm quality, such selection of spermatozoa separates motile sperm from nonmotile, removes seminal plasma, and infectious agents, other background materials and debris (Zavos, 1992) and also in the same time initiates the capacitation of sperm (Henkel and Schill, 2003). Patients, materials and methods: One hundred thirty-five infertile couples were participated in this study where the male partners needed in vitro sperm preparation and activation, while the female partners were normal and subjected to ovarian stimulation program. In vitro sperm activation was performed using two different techniques, the centrifugation swim-up technique with Global medium and density gradient technique with ALLGrad solution and Global medium. Randomly the infertile males shared in this study were grouped into two groups according to type of technique used in sperm preparation. In the first group the centrifugation swim-up technique was applied for 70 infertile males, while in the other group 65 infertile males have density gradient technique for their in vitro sperm activation. Both groups were subjected to IUI. Results: Intrauterine insemination was applied for the wives of all infertile males involved in this study after having in vitro preparation for their sperm samples, among the 135 couples involved in the present study, 16 couples have positive IUI outcome, 9 couples were in the group used density gradient technique with percentage of (13.8%) which is higher than the percentage of positive IUI outcome in the infertile couples used centrifugation swim-up method where it was (10%) and count of 7 from 70 patients used that technique. Conclusions: Density gradient techniques with ALLGrad solution has better IUI outcome compared to centrifugation swim-up technique. An improvement of percentages of sperm progressive motility, grade (A) progressive sperm motility, normal sperm morphology that were higher in density gradient technique were the main factors that enhance the IUI outcome.

Ayurveda is a science which is regaining its worth in 21st century. There are number of psychotic &somatic diseases which were widely explained in samhitas many centuries ago and the role of manas is also explained thoroughly. In brihtrayi, Charaksamhita explained the manas, its types, Mansika gunas, mano-vikara as well as chikitsa in a very descriptive way. The combination of body, senses, mind and soul, results in existence of living being. Manas has been labeled to play an important role in causing physical diseases like grahni, ardhavbhedaka, atisara, chhardi etc. The definition of health given in Ayurveda is comprehensive which included mental wellness as an important component. In modern science, the mental health and psycho-somatic diseases were introduced in 1908. The rich heritage of Ayurveda is depicted by the fact that even WHO reformed their definition of health few decades ago by introducing the mental health as the important aspect of health. Charaksamhitaadvocates many preventive measures to save from various mental disorders- Sadvritta, Achararasyana, Ritucharya and Dincharya are some of them. Simultaneously, various aushadhis are also recommended. Thus it is clearly evident that mental health and disorders related to it were well addressed in Ayurveda and if principles explained in ancient texts are followed properly, many diseases of present time can be prevented. This can help in achieving health in real sense.

With the development in unpredictability and volume of therapeutic information, a broad arrangement of data right now accessible in different structures identified with illnesses and its indications. Systems are important to separate guidelines and examples from these monstrous arrangements of information. ID and extraction of shrouded examples and rules in this gigantic informational index positively help us to comprehend infection movement certainties. Machine learning gives a programmed approach to reveal the examples from the informational index and it will be useful to social insurance experts so as to give accuracy prescription to their patients. Fake Neural systems is a prominent AI procedure utilized for characterization assignments in restorative conclusion for illness identification. It is a prominent field of software engineering that can be applied to the medicinal services segment proficiently. In this investigation, Multi-Layer Feed Forward Neural Network has been applied to the dermatology dataset downloaded from the UCI archive website to arrange the dermatology infections. Discoveries: Artificial Neural Network with backpropagation calculation delivers the ideal outcomes for characterization and expectation issues. It likewise has the capacity of speculation and material to true issues. Applications: The trial will be reached out by applying on different kinds of infection datasets and a computerized indicative and warning framework with neural system mix certainly helps in illness expectation issues.

Background: Infertility is failure to achieve pregnancy after one year of un protected intercourse. In approximately 40% of infertile couples, the male partner is either the sole or a contributing cause of infertility. A severe defect of spermatogenesis including reduced sperm count, motility and many sperm with abnormal morphology, will probably always be relevant. However, mild defects may only become relevant as the age and the duration of infertility increases. Objectives: Evaluate the relationship of age and duration of infertility with sperm parameters and correlate them with IUI outcome. Patients, materials and methods: One hundred thirty-five infertile couples were participated in this study where the male partners subjected to in vitro sperm preparation and activation, while the female partners were normal and had ovarian stimulation program. In vitro sperm activation was performed using two different methods, the centrifugation swim-up technique and density gradient technique with. The mean ages of infertile males were 35.614±0.539 years with a range from 22 to 52 and the mean duration of infertility was 6.113±3.75 years with a range from 1 to 20 years. Both groups were subjected to IUI. Results: Lowest sperm concentration and motility with age group (> 50) years. However; best results in this study regarding total sperm motility was with duration of infertility (3-4) years and the lowest total sperm motility with duration (>10) years. Regarding IUI, the highest IUI outcome was with age group (30-39) years and with duration of infertility (<2) years (25%). Conclusion: This study concluded that sperm parameters and IUI outcome inversely correlated with duration of infertility. Also better sperm parameters regarding concentration, motility, morphology and IUI outcome was with young age group. Since the sperm parameters and IUI outcome decline with age and with longer duration of infertility as shown by the results of this study so better to interfere with IUI in couples with duration of infertility less than two years.

Introduction: Bronchial asthma is one of the most distressing, chronic illness and is quite common in all the socio economic strata, affecting all age groups, approximately 300 million people suffering worldwide1. Changing life style, demographic factors, urbanization, and environmental changes are the triggering factors of Bronchial asthma. The same being understood as tamaka swasa in texts of Ayurveda. Methods: This a single case study, where in a 59-year-old male patient named Gopalan came with the complaints of breathlessness and cough since 10 years and was on irregular medication. The symptoms aggravated on intake of cold food items-weather, relieved on medications. The patient was diagnosed as tamaka swasa. Respiratory examination revealed bilateral expiratory- inspiratory rhonchi. The patient was prescribed Poushkaramuladi kashaya2 for 30 days along with honey as anupana, and was adviced the proper diet and regimen according to the disease and patient present conditions and the importance of pathya in the case of tamakaswasa as it is a yapya vyadhi. The patient was requested to come on 15th,30th, and after 45th day for the regular follow up. Result: Significant amount of reduction in all the clinical signs and symptoms (cough, breathlessness ,quantity of sputum, difficulty in speech, body position, use of accessory muscles, respitatory rate, breath sound and PEFR) were seen. Discussion: The ingredients of Poushakaradi kashaya (Pushkara moola, Katphala, Bharangi, Viswa, Pippali) have mainly vata kaphara action and thereby normalize the gati of vata dosha by removing obstruction caused by kapha, Pushkara is also known for its shwasahara action.

This paper expects to show a short study on VRP and its variations with various Bio-roused metaheuristics. Metaheuristics is an elevated level strategy that directions straightforward heuristics and rules to discover great surmised arrangements and Bio-propelled metaheuristics that takes care of testing combinatorial improvement issues in a versatile and circulated design. Vehicle directing issue is one of the Nondeterministic Polynomial – Hard combinatorial advancement issue which means to improve the courses and diminish the general expense of the courses with least separation. Ongoing years, combinatorial enhancement issues are increasing more consciousness of the specialists both in logical just as the modern world. Organically enlivened strategies are getting all the more logically significant even with multifaceted nature in the present requesting applications. The huge consideration towards VRP is because of its genuine significance and furthermore it is hard to explain it and still, it is a chief significant issue in the territory of Operations Research

Ear-nose-throat (ENT) manifestations of rheumatologic disorders represent a diagnostic challenge for the rheumatologist, the otorhinolaryngology, and the general practitioner. Not uncommonly ENT symptoms represent the initial sign of an otherwise asymptomatic or even undiagnosed autoimmune disorder which often calls for prompt and aggressive immunosuppressive treatment. Moreover, ENT symptoms may be overlooked by the patient or the internist who are usually preoccupied with the main manifestations of the disease. Herein we review the most frequent ENT manifestations of connective tissue disorders with emphasis on what we consider to be helpful diagnostic clues that could facilitate early diagnosis and treatment.

A web application is worked for order bioinformatics datasets. Our application gives a simple and intuitive visual interface which will be valuable for specialized and non-specialized clients. This application is mainly used for classification bioinformatics datasets, especially multi class large datasets, using sequential and parallel classification algorithms that is hopefully be widespread acceptance and adopted in both academia and business. Biological datasets are applied and classified using both serial as well as parallel support vector machine. Our proposed application has been changed altogether without any preparation introduces a general system for information pre-handling, order, and expectation. These three main tasks are applied in different datasets of different size such as Leukemia, Colon-cancer, Breast-cancer, DNA, and Protein. In the pre-processing phase, various types of data pre-processing techniques like Data Cleaning, Data Transformation, Data Reduction, and Data Discretization are used to solve incomplete and/or inconsistent problems in raw data. Then, in classification phase, a classification starts to work on pre-processing data according to different algorithms such as Serial SVM Algorithm, Parallel SVM Algorithm, Clustering, Decision Trees, Genetic Programming, and Bayesian Networks to produce a trained model based on training datasets. Finally, in the prediction phase, the trained model is used to predict the class value of a new instance in a given dataset. In order to establish an efficient and effective prediction model, we have taken into account that our prediction model must have the following criteria Accuracy, Speed, Robustness, and Scalability. The purposed application has shown much promise due to its robust classification capabilities to produce a prediction model with high accuracy ranging from 70.32 % to 97.33 %.

The goal of this exploration paper studies the various techniques identified with the counterfeit neural network utilized for expectation and discovery of the lung cancer growth in its beginning periods so the endurance pace of lung disease patients can be expanded. Lung cancer is the main source of death in India so the early detection of lung disease is significant. The identification and expectation of lung disease were resolved with picture predisposing technique where division, smoothing and improvement steps were handled and includes were separated from pictures and phases of lung cancer were related to reasonable fake neural system model and furthermore endurance pace of lung cancer growth patients was resolved. Artificial neural system has a huge job in the medicinal region. In nowadays the greater part of the sickness fix a strategy is processing with the assistance of man-made reasoning to build the presentation of yield. In lung cancer growth malady, the fake neural system model is exceptionally valuable since discovery of lung disease in its beginning times can be decided and it is essential to fix this illness at first on the grounds that with the expanding phases of lung malignancy it is hard to fix this ailment and furthermore the endurance pace of lung disease patients in higher stages is low. A definitive objective of this paper is to examine various techniques for the Artificial Neural Networks model that can help for identification, expectation and discover the endurance pace of lung disease patients.

Medicative images expect a key part in the determination of tumors, just as the Cerebrospinal Fluid (CSF) spill. Along these lines, MRI could be the front line regenerative imaging innovation, which allows an edge sectional point of view of the body, which offers comfort to the pros to examine the influenced individual. Right now, creators had endeavored the methodology to order MRI pictures (4-Dimensional) either toward the start of generation to have a tumor or even can be used for tumor acknowledgment. The point of the examination is to address the previously mentioned issues related to the cerebrum malignant growth because of the spillage of CSF. This exploration is to build the examination system that can distinguish disease harm zone or be secluded from tumors and non-tumors calm by utilizing Fourier change. Another exploration apparatus, in light of Fourier Transform, is the primary numerical strategy for recurrence examination and has broad designing and science applications. Since DFT is ubiquitous, there has been a broad investigation of interstates for the DFT record, and dynamic research has proceeded. The DFT parceling technique gives several algorithms. Right now, give DFT two quick usage calculations to evaluate their exhibition. This examination helps the identification of Brain malignant growth because of the procedure of interfacing the 4-D (4 Dimensional) picture division procedure and Fourier change. 4-D is trailed by MATLAB programming displaying strategies to quantify the size of cerebrum harm cells somewhere within CSF. These Methods of light fields can help improve the nature of utilization altering division and light field composite pipeline, as they decrease limit ancient rarities

Cloud computing nature is distributable. Due to this nature, it is mandatory to manage the load, which is very challenging to do. Our primary focus on this research is on load balancing in the cloud network. In Earlier research genetic algorithm is proposed, which is found to be very complicated in terms of resource consumption and high execution time. In our research, we have introduced an enhanced Genetic algorithm that consumes fewer resources than the previous one. To implement this technique, we have used MATLAB. The output of simulation shows that the proposed method is more efficient than the previous one.

Information mining is utilized broadly and is applied effectively in different fields like market-bushel investigation, e-business, extortion discovery, quality control, strategically pitching of items. So All the more as of late, information mining has been effectively applied to the medical care area and medical care applications. Goals: The goal of this examination is to consider the grouping based forecast procedures as applied to medical care. It additionally targets finding the various applications and apparatuses utilized in characterization based expectation in the medical care area. Strategies: Prevalently the expectation procedures utilized are Decision Trees, Naive Bayes classifier, Bayesian organizations, k-Nearest neighbor, and counterfeit neural organizations. A couple of analysts likewise have utilized help vector machines, hereditary calculation, and choice guidelines for expectation. Highlight choice procedures have been applied to remove important highlights needed with the end goal of the forecast. Discoveries: It is discovered that there is no single calculation or method that is the best of the multitude of different calculations/strategies on some random clinical datasets and applications. Continuously there is a need to investigate the correct strategy for the given dataset. An itemized survey of the examination on characterization based forecast procedures uncover that the calculations and strategies are applied on various informational indexes, which likewise has heterogeneous information types. It is seen that work is done on improving the prescient exactness by applying quality determination measures and highlight choice procedures. Methods have been created to analyze illnesses, anticipate the event of sicknesses, survey the gravity of the infections, for example, malignancy, heart, skin, liver, SARS, diabetes to give some examples. The different applications investigated are SMARTDIAB, H-Cloud, Medical Decision Support System, Evidence-based medication, unfriendly medication occasions, Passive In-home Health and Wellness observing, Healthcare the board is a couple of utilizations created on the side of Medical information mining. Application: SMARTDIAB is a robotized framework for checking and the board of type 1 Diabetic patients which supports observing, the executives and treatment of patients with type 1 diabetes. Uninvolved In-home wellbeing and health observing is an application for checking more seasoned grown-ups inactively in their living settings by putting sensors in their living climate. Back