FUNCTIONAL STATUS AMONG PATIENTS WITH STAGE III PARKINSON’S DISEASE

Aims Of Study: The purpose of the study was to assess the functional capabilities of patients with Stage III Parkinson's disease (PD). Functional status of PD patients declines due to impaired postural reflexes and characteristic loss of balance which became evident at Stage III thus activities of daily living (ADLs) are compromised as the severity of the disease increases. Methodology:  Descriptive case series was conducted on stage III PD patients (n=64). Patients with age ranges from 45 to 75 years were recruited and patients with other neurological issues were excluded. They were assessed using a Functional independence measure scale having reliability 0.95. Results: Out of 64 patients, 75% required minimal assistance and 9.4% required supervision while performing the ADLs. Whereas, 81% of patients need 2 hours of personal care assistance according to burden of care. Limitations & Future Implications: Only functional status of PD patient is determined no exercise regime or intervention were incorporated to assess their impact on the PD patient functional activities. Thus, future studies should be carried out to find the correlation between aerobic exercises and their impact on PD patient level of functional independence. Originality: Information added was all taken from databases and reduced to similarity index and was not submitted to any other journal. Conclusion: Stage III Parkinson’s disease patient required minimal level of assistance while performing tasks of daily living. However, majority of these patients required 2 hours of personal care assistance on average per day to compete with daily living.

A Novel Intrusion Detection and Prevention Model for Sql Injection Attacks Idpmia

Structure Query Language, Injections Attack (SQLIA) is a burning issue now a days in static applications and web applications databases. SQL Injection ignores the authentication checks and affects the confidentiality of the database. SQLIA helps the invader to get the illegal access of the whole database and operate it. Through injection attacks, malfunctioning code can be entered in a site.The existing tools and techniques like SQLRand, CANID, AMNESIA and SQL DOM mainly focus on providing access to the database only to the authenticated users. These tools do not provide complete prevention measures against the SQLIA. In this research, Intrusion Detection and Prevention Model for SQL Injection Attacks will be introduced. The proposed IDPMIA will detect the malicious queries before execution and reconstruct these malicious queries. Whenever attackers will try to inject a suspicious query, it would by immediately recognized by IDPMIA and protective actions will be taken. The proposed approach will be justified through case studies where multiple SQL Injection attacks will simulate and results will be analyzed using the proposed model and existing state of the art techniques from literature.