Rapamycin induces transactivation of the EGFR and increases cell survival.

The mammalian target of rapamycin (mTOR) signaling network regulates cell growth, proliferation and cell survival. Deregulated activation of this pathway is a common event in diverse human diseases such as cancers, cardiac hypertrophy, vascular restenosis and nephrotic hypertrophy. Although mTOR inhibitor, rapamycin, has been widely used to inhibit the aberrant signaling due to mTOR activation that plays a major role in hyperproliferative diseases, in some cases rapamycin does not attenuate the cell proliferation and survival. Thus, we studied the mechanism(s) by which cells may confer resistance to rapamycin. Our data show that in a variety of cell types the mTOR inhibitor rapamycin activates extracellularly regulated kinases (Erk1/2) signaling. Rapamycin-mediated activation of the Erk1/2 signaling requires (a) the epidermal growth factor receptor (EGFR), (b) its tyrosine kinase activity and (c) intact autophosphorylation sites on the receptor. Rapamycin treatment increases tyrosine phosphorylation of EGFR without the addition of growth factor and this transactivation of receptor involves activation of c-Src. We also show that rapamycin treatment triggers activation of cell survival signaling pathway by activating the prosurvival kinases Erk1/2 and p90RSK. These studies provide a novel paradigm by which cells escape the apoptotic actions of rapamycin and its derivatives that inhibit the mTOR pathway

Understanding Differences in Medical Versus Surgical Patients Alerted by the Modified Early Warning Score (MEWS) at Jefferson Hospital

An Early Warning Score (EWS) is a risk-management tool to identify patients experiencing clinical deterioration early, therefore allowing timely treatment to occur. Although EWS scores are recommended for all in-patients, more data is available for patients under general medical services compared to surgical services. This study aims to understand differences between medical versus surgical in-patients who receive a red alert from the Modified Early Warning Score (MEWS) at Jefferson hospital. Patients who received a red MEWS alert during admission and discharged between June 2017 to March 2018 (N=812) were categorized as medical or surgical patients. Patient characteristics were compared using an independent samples t-test (age, alert count) or chi-square test (sex, race, admission source, insurance). Patient outcomes were compared using a binary logistic regression (in-hospital mortality, RRT, sepsis diagnosis, ICU transfer, intubation, discharge to hospice) or a Cox regression model (length of stay), controlling for age, sex, and race. Compared to medical patients, surgical patients were younger by 2.7 years (p=0.026) and more likely to have a Commercial and/or Medicare category of insurance (OR=1.568, p=0.005). Surgical patients were more likely to have ICU transfer (OR=1.487, p=0.013) and intubation post-alert (OR=2.470, p=0.006), while less likely to be discharged early (HR=0.675,

AES Password Encryption Technique

In recent years the cases of hacking have increased at an exponential rate. The Advanced Encryption Standard (AES) is a National Institute of Standards and Technology specification for the encryption of electronic data. It is expected to become the accepted means of encrypting digital information, including financial, telecommunications, and government data. In this paper we explain the importance and the need for encryption and the Advanced Encryption Standard (AES) algorithm for password encryption. Included is a complete AES algorithm. DOI: 10.17762/ijritcc2321-8169.150313

Abstract Creation of Research Paper Using Feature Specific Sentence Extraction based Summarization

Several techniques for identifying essential content for text summarization have been created to date. Subject representation techniques is primary infer a midway reflection of the content that that grabs the styles discussed in the data. Considering these representations of topics, phrases in the details records are obtained for each and every relevance. In our suggested system sentence relevance detection is applied determines a score for each sentence based on its significance. Then an overview is produced by selecting most calculated sentences. The produced overview is use for producing subjective by Enhanced summation technique, choosing the sentences from the overview one by one and create word chart. In our system enhance edge weighting strategy is applied for high connection throughout words of produced chart. For discovering few shortest path sentences suggested method use dijkstras algorithm. Before choosing the best quickest path sentences, system examine framework of phrase grammatically. Outcomes demonstrate that extractive and abstractive-oriented overviews produced by Improve COPMENDIUM outshine current system of summation system. We used feature specific sentence extraction techniques which enhance the effectiveness of the summarization strategy. DOI: 10.17762/ijritcc2321-8169.15074

Accounting B

Exam paper for second semeste

Identification of Risk Factors Associated with Falls in the Long Term Care Setting

Background: Falls threaten the safety of older adults in long term care (LTC). Objectives: To assess environmental, clinical and pharmacological causes of falls as well as compare Fall Risk Assessment Score, Brief Interview of Mental Status (BIMS) score, Activities of Daily Living (ADL) scores, age and gender of residents with one fall, recurrent falls, and no falls. Methods: Using a descriptive-comparative design, we included a convenience sample of 290 adults ≥50 years old at our LTC facility. Fall and recurrent fall groups were matched to those with no falls. We assessed environmental, clinical and pharmacological variables, Fall Risk Assessment Scores, BIMS scores, ADL scores, age, and gender among those with one fall, recurrent falls, and no falls. Results: Among 290 residents, patients who fell had significantly more modifiable environmental (p\u3c.05), clinical (p\u3c.05), and pharmacological (p\u3c.05) causes of falls. Fall risk scores were significantly higher for the initial falls (p=.02) group and the recurrent falls group (p\u3c.001) compared to no fall. BIMS scores were significantly lower for the initial fall group compared to the no fall group (p=.03). For ADL bed mobility (p\u3c.001), transfer (p=.01), eating (p\u3c.001), and toilet use (p\u3c.001), significantly more residents in the no falls group required extensive assistance compared to the recurrent falls group. There was no significant difference in age or gender among fall groups. Conclusions: Many of the significant variables found in the initial fall and recurrent fall groups are modifiable. LTC residents would benefit most from an ongoing multidisciplinary approach to falls risk reduction