Discrete symmetries for electroweak natural type-I seesaw mechanism

The naturalness of electroweak scale in the models of type-I seesaw mechanism with ${\cal O}(1)$ Yukawa couplings requires TeV scale masses for the fermion singlets. In this case, the tiny neutrino masses have to arise from the cancellations within the seesaw formula which are arranged by fine-tuned correlations between the Yukawa couplings and the masses of fermion singlets. We motivate such correlations through the framework of discrete symmetries. In the case of three Majorana fermion singlets, it is shown that the exact cancellation arranged by the discrete symmetries in seesaw formula necessarily leads to two mass degenerate fermion singlets. The remaining fermion singlet decouples completely from the standard model. We provide two candidate models based on the groups $A_4$ and $\Sigma(81)$ and discuss the generic perturbations to this approach which can lead to the viable neutrino masses.Comment: 26 pages, 4 figures; references added, matches published versio

A Novel Approach for Finding Rare Items Based on Multiple Minimum Support Framework

AbstractPattern mining methods describe valuable and advantageous items from a large amount of records stored in the corporate datasets and repositories. While mining, literature has almost singularly focused on frequent itemset but in many applications rare ones are of higher interest. For Example medical dataset can be considered, where rare combination of prodrome plays a vital role for the physicians. As rare items contain worthwhile information, researchers are making efforts to examine effective methodologies to extract the same. In this paper, an effort is made to analyze the complete set of rare items for finding almost all possible rare association rules from the dataset. The Proposed approach makes use of Maximum constraint model for extracting the rare items. A new approach is efficient to mine rare association rules which can be defined as rules containing the rare items. Based on the study of relevant data structures of the mining space, this approach utilizes a tree structure to ascertain the rare items. Finally, it is demonstrated that this new approach is more virtuous and robust than the existing algorithms

Localization Algorithm for Mobile Sensor Nodes Using 3D Space in Wireless Sensor Network

On the problem of wireless sensor network localization; few true three - dimensional (3D) methods have been developed to satisfy the practical needs. In this work we proposed range - based 3D localization algorithm that is accurate, anchor - free, scalable and physical position available. A novel combination of distance and direction measurement techniques introduced to estimate ranges between neighbours. Based on this information local coordinate systems are constructed and then converge to form a global network wide coordinate system ,which finally leads to nodes absolute positions. Simulation results have shown that our algorithm achieves good trade - off between localization percentage and precision

A Survey On Various Methods To Detect Forgery And Computer Crime In Transaction Database

Abstract: A computer forensic method can be used for detecting the different types of forgeries and computer crime. Forgeries and computer crime are the most major concern of the digital world. Lots of techniques and methods have been used to find a proper solution to these problems. Nowadays, digital forensics are an important topic for research articles. In this paper a general survey has been carried out for different methods used in computer forensics to track the evidences which can be useful for detecting the computer crime and forgery. Forensic tools can be used for making any changes to data or tampering of data. Different rules sets or methods are defined to detect the various errors regarding the changes and the tampering of the data in different windows file system. Digital evidence can also be used to detect forgery or computer crime

DRUG UTILIZATION PATTERN AND PHARMACOECONOMIC ANALYSIS OF ANTIHYPERTENSIVE DRUGS PRESCRIBED IN SECONDARY CARE HOSPITAL IN GUJARAT, INDIA

ABSTRACTObjective: Hypertension is the most common condition seen in primary care and leads to myocardial infarction, stroke, renal failure, and death if notdetected early and treated appropriately. A large number of antihypertensive drugs alone or in various combinations are available, and physiciansneed to choose most appropriate drug for a particular patient. Pharmacoeconomic and drug utilization studies at regular intervals help physicians toprescribed rational drugs with high efficacy along with minimal cost.Methods: The prospective observational study was conducted at Seth H. J. Mahagujarat Hospital from July to December 2013. 250 hypertensivepatients, attending medicine outpatient department were included for drug utilization study and 100 hypertensive patients, attending in patientsdepartment were included for pharmacoeconomics analysis during the study period.Result: The most frequently prescribed antihypertensive drug as monotherapy, as combination therapy and in fixed dose combinations was calciumchannel blocker (Amlodipine). Generic drugs showed same efficacy as brand drug, but both drugs were significantly differed in the prize. Among 100inpatients admitted for the hypertensive condition in general ward total of direct medical cost was 65.19% and total of indirect medical cost was34.81%. β-blocker and diuretics were the most effective therapy which is followed by the clonidine, envas (Enalapril), and then, amlodipine.Conclusion: We concluded from this study that use of β-blockers and diuretics were most cost-effective for the hypertensive patients in this study.Keywords: Antihypertensive drugs, Drug utilization study, Pharmacoeconomics analysis.Â

Power Reduction Sleep Scheduling Technique for Cloud Integrated Green Social Sensor Network

The wireless sensor network is the maximum appropriate technology nowadays with such awesome applications and areas including Infrastructure tracking, environment tracking, health care tracking, etc. Cloud Computing has fantastic data collecting skills and effective data processing ability. Social Network is a group of People or organizations of human beings with similar intentions. Social Sensor Cloud is one type of expertise-sharing mechanism wherein similar types of human beings can connect. Energy Consumption is nowadays the largest challenge as far as the concern with green environment. Because the battery life of the sensor is so limited, the Social Sensor Cloud must be energy efficient. As a result, this article will concentrate on Energy-Efficient Techniques for the Social Sensor Cloud. According to our findings, findings, the majority of energy-saving measures will cope with not unusual place Parameters including Network Lifetime, Network Work rate, Throughput, Energy, Bandwidth, etc. We will Summarize current Technology and we Will Provide Our Architecture for Energy Reduction in Social Sensor Cloud

Effect of mycobacterium on clinical and laboratory parameters in COVID-19

Background: Initial wave of COVID-19 created a massive health crisis everywhere including India due to a limited understanding of the disease pathology. Most physicians used sepsis as a prototype to manage COVID-19, as there are similarities. Heat-killed Mycobacterium w (Mw) (inj. sepsivac®) is a known immunomodulator approved for the treatment of gram-negative sepsis. Our purpose of this observation is to evaluate the safety and efficacy of Inj sepsivac in COVID-19 patients along with the standard of care. Methods: Total 49 patients data with reverse transcriptase-polymerase chain reaction (RT-PCR) confirmed critically ill COVID-19 patients who were admitted at Velocity Hospital, Surat between May 4, 2021, and May 18, 2021 were evaluated. They were evaluated for vital parameters like pulse, blood pressure, respiratory rate and temperature as well as laboratory parameters like ALT, S IL-6, serum creatinine and CRP during three follow-up visits after the administration of Inj sepsivac. Further follow-up was done until the discharge/death of the patient. Results: There was a statistically significant reduction of mean CRP observed compared to the baseline value during all follow-up visits. The rest of the laboratory parameters as well as clinical assessment did not show any significant change as compared to baseline. Out of 49, two patients died (mortality rate; 4%). Inj. sepsivac was found to be well tolerated without any systemic side effects. Conclusions: The addition of Mw to the standard of care can improve laboratory parameters like CRP, without any safety concerns. These results should be further substantiated by larger randomised clinical trials

Development of Electromagnetic Micro-Energy Harvesting Device

The use of energy harvesting devices has generated much research interests in recent years. There are numerous energy harvesters available in the market that are piezoelectric, electromagnetic, electrostatic or combination of piezoelectric and electromagnetic. Many of the harvesters have shown great potential but are either severely limited in power generation since they are actually never optimized to its potential. One of the goals of this thesis is to develop an electromagnetic micro-energy harvester that is capable of working at low frequencies (5-30 Hz) and is capable of producing electrical power for small devices. Generally, batteries have been used to power low voltage electronics, however the need for self-sustaining and reliable power source have always been a major issue. This project aims to make a harvester of size AA battery that can be used as a reliable and continuous source of power for bio-medical as well as industrial applications. Firstly, a linear harvester is developed for applications where there is no set natural frequency. The linear harvester consists of a stator and a mover. The stator includes copper coils, outer iron case and delrin holder for the coils while the mover consists of permanent magnets, iron pole and cylindrical rod. The working principles developed are used to optimize and improve the efficiency of energy harvesting system. The linear harvesting system is tested with the permanent magnet to iron pole ratio of 1.25 and permanent magnet to coil ratio of 0.73. The power density of the linear harvester is determined to be 4.44e-4 W/cm3. Thereafter, optimization is done in comsol to improve the performance of the energy harvesting system. The optimized magnet to iron ratio is determined to be 3.175 and permanent magnet to coil ratio of 0.7938. The optimized ratios are used to develop an inertial type non-linear energy harvesting device. The structure of the non-linear harvester is same as the linear one except two stationary magnets are added at the top and bottom of the harvester that act as a non-linear spring. The non-linear harvesting device is tested and the power density of the system is determined to be 2.738e-2 W/cm3. The non-linear harvester was tested at acceleration level of 1g and it was determined that the harvester worked best at natural frequency of 8.66 Hz. The maximum power produced was 38.1 mW. The non-linear type of harvester is easy to assemble and optimize to match ambient natural frequency of numerous vibrating systems. Two frequency tuning methods are looked at for the non-linear energy harvesting system. One is by changing the magnetic air gap and the second is by changing the thickness of the stationary top and bottom magnets. It is determined that changing magnetic air gap is more effective at tuning for a range of natural frequencies. For applications where the natural frequency of the system doesn't exist, such as buoys and beacons at sea, the linear energy harvester works best. For applications where the system vibrates at a certain natural frequency, the non-linear harvester should be used. Finally, this thesis is concluded with a discussion on the electromagnetic micro-harvester and some suggestions for further research on how to optimize and extend the functionality of the energy harvesting system

Functional results of shoulders Neer’s prosthesis for four part fracture dislocation of shoulder

Background: Objective was to study the clinical and functional outcome of shoulder hemi-arthroplasty using Neer’s prosthesis in four part fracture dislocation of shoulder.Methods: The study was conducted on patients who underwent shoulder hemi-arthroplasty using Neer’s prosthesis for four part fracture dislocation of shoulder in Department of Orthopaedics, GMCH Aurangabad from January 2020 to January 2021. The patients were assessed clinically and functionally using Shoulder range of motion, Visual Analog Scale (VAS), American Society of shoulder and elbow (ASES) score and Constant-Murley score and radiological assessment at 3, 6 and 12 months.Results: At one year follow up of 30 patients, no loosening or dislocation of prosthesis was detected, and mean forward elevation of 129.33o (90o - 150o), mean external rotation of 26.7o (18o – 34o), mean internal rotation of 47.86o (33o-58o), the mean ASES score of 79.46 (range 68-88), the mean VAS score of 1.5 (range 1-3) and mean Constant-Murley score of 82.9 (range 72-94) were achieved. 1 patient developed axillary nerve injury which recovered 6 weeks after surgery and 1 diabetic patient developed superficial infection which healed with antibiotics.Conclusions: Hemiarthroplasty with Neer’s prosthesis can be utilized in four part fracture dislocations of humerus with poor bone stock risking avascular necrosis of head and screw cut out with satisfactory outcome

Clinical evaluation of low cost Indian knee prosthesis in government medical colleges

Background: The clinical and functional outcome of total knee arthroplasty was studied using low cost Indian knee prosthesis called Destiknee by Maxx Company in government medical hospital. The objectives was to do assessment of pain relief, joint mobility and deformity correction post-operatively, pre-operative and post-operative Knee society score comparison.Methods: Patients included were those who underwent primary total knee arthroplasty in Department of Orthopaedics, GMCH Aurangabad from January 2020 to January 2021. Clinical and functional assessment was done using the Knee society score and x-rays at 3, 6 and 12 months intervals.Results: At 1 year follow up of 28 knees, there was an improvement in the average pre-op Knee society score of 53.92 to average post-op score of 86.25 and in the range of motion from 80.42 degree to 127.32 degrees and knee flexion deformity improved from 15.25 degrees to 2.17 degrees, all of which had a p value<0.05 are significant statistically. One diabetic patient with poor glycemic control had superficial infection and one developed minor pulmonary embolism which recovered with medical management. Patients had good satisfaction both in unilateral and bilateral TKA.Conclusions: TKA resulted in significant reduction in knee pain and improvement in the functional ability of patients. The results of this low cost Indian prosthesis in a government rural setup with no laminar airflow with good efficacy and minimal complications are excellent. It was a boon for the rural population suffering from knee pain