Reduce Patient Falls at Skilled Nursing Facility

Falls and related injuries are becoming a massive concern for healthcare systems. Preventing falls should be the top priority for healthcare organizations. Since the risk of falling cannot be eliminated, implementing a plan that addresses fall prevention strategies can significantly reduce the number of falls. This article explores evidence-based practice (EBP) interventions in order to prevent elderly patient falls in a skilled nursing facility (SNF). The EBP research interventions, such as fall screening tools used for patient assessment, safety education classes for staff, bedside nursing communication exchange, and daily nursing leadership rounds, can have a vital effect on patient and staff safety. The fall prevention interventions were implemented in 2019 for a fall reduction project at a 120-bed SNF located in the San Francisco Bay area. The goal was to reduce fall incidents by 50% and increase safety knowledge among the staff by 50% within one year of the Centers for Medicare & Medicaid Services state survey window. The ongoing project outcome data show dramatically reduced inpatient falls and increased safety knowledge among the staff

SCENARIO SHAKEMAPS FOR OTTAWA, CANADA

Ottawa ranks third among Canadian urban areas in terms of seismic risk. Variability in near surface geology plays an important role in earthquake ground shaking in the region. Scenario ShakeMaps are generated for the Ottawa region to study the expected ground-shaking intensity distribution patterns, for input to damage and risk studies. The quarter wavelength method is used to generate frequency-dependent amplification functions for typical generic soil profiles for National Earthquake Hazard Reduction Program (NEHRP) soil classes using recent data from -17250 soil profiles. The methodology and amplifications are validated using the ground motion and “Did You Feel It” records from the 2010 M5 Val des Bois earthquake, which occurred 60 km from Ottawa. It is noted that the calculated amplifications for typical Ottawa soil profiles are often greater than generic “NEHRP factors” as applied in building code applications. For a scenario corresponding to ground motions specified by the National Building Code of Canada (NBCC) for a probability level of 2%/50 years, expected Modified Mercalli Intensity (MMI) values in soft-soil areas of Ottawa would be near 7. The impact of event location on expected ground motions and intensities was tested by considering the occurrence of a scenario (a given magnitude event) at various locations in the region. The results of this study may be used as input to seismic risk studies for Ottawa

Studies on some important Heterocyclic Moieties

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Load Balancing Techniques in Cloud Computing

As Cloud Computing is growing rapidly and clients are demanding more services and better results, load balancing for the Cloud has become a very interesting and important research area. The top challenges and Issues faced by cloud Computing is Security, Availability, Performance etc. The issue availability is mainly related to efficient load balancing, resource utilization & live migration of data in the server. In clouds, load balancing, as a method, is applied across different data centres to ensure the network availability by minimizing use of computer hardware, software failures and mitigating recourse limitations. Load Balancing is essential for efficient operations in distributed environments. Hence this paper presents the various existing load balancing Technique in Cloud Computing based on different parameters

Optimization-based decision support system for retail souring

Thesis (M.B.A.)--Massachusetts Institute of Technology, Sloan School of Management; and, (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; in conjunction with the Leaders for Global Operations Program at MIT, 2012.Cataloged from PDF version of thesis.Includes bibliographical references (p. 83-84).Some of the biggest challenges in the retail sourcing lie in predicting demand for a new article and making purchase decisions such as quantity, source, transportation mode and time of the order. Such decisions become more complex and time consuming as the number of SKUs and suppliers increase. The thesis addresses the issue of managing retail sourcing using forecasting and optimization based decision system developed for Zara, a leading fast-fashion clothing retailer. We started with an existing pre-season demand forecasting method that uses POS data from a comparable older article to forecast demand for a new article after adjusting for stock-outs and seasonality. We developed and compared various forecast updating methods for accuracy and found that an exponential smoothing-based model, modified to accommodate for changes in level few steps ahead, resulted in highest accuracy using Cumulative Absolute Percentage Error (CAPE). Next, we implemented a profit-maximizing optimization model to produce explicit sourcing decisions such as quantity, time and source of orders. The model takes in distributional forecasts, supply constraints, holding cost, pricing information and outputs explicit sourcing decisions mentioned above. A prototype for forecasting and optimization code is ready and currently being evaluated to secure approval for a live pilot for Summer 2013 campaign sourcing.by Jalpa Patel.S.M.M.B.A

Performance Analysis of Reputation based Proof of Credibility Consensus Mechanism for Blockchain based Applications

Blockchain is a decentralized transaction and data management technology first developed for the Bitcoin cryptocurrency. Blockchain technology is gaining popularity due to its core attributes which provides security, anonymity and data integrity without any involvement of third party. Consensus mechanism is a procedure by which all peers in the blockchain network agrees to a common agreement on the current state of the distributed ledger. It plays vital role in increasing efficiency of any blockchain environment. Though we have many consensus mechanisms working currently in different areas but they still lack in parameters like status of validators, latency, node failure etc. In Our proposed algorithm Proof of credibility, we have tried to incorporate all above factors in it. We have also implemented two or more factors of proposed algorithm and have evaluated and compared with existing consensus algorithm. In future research we aim to implement RPoC in any blockchain network and then we will evaluate it in terms of different evaluation parameters such as performance, security, scalability

Acute Toxicity Sudy of Eladi Quatha: A Compound Ayurvedic Formulation

In the modern era, the Indian Ayurvedic system of Medicine is believed to treat diseases from the root cause. The ayurvedic system claims to have many indigenous plants and herbal preparations, which provide therapeutic benefit in the treatment of kidney diseases. Aim – To study the benefits of herbal preparation Eladi quatha for kidney disease Urothalisis. Method - This study was undertaken to explore the effects of Eladi quatha in animals to treat kidney stone diseases. However, no safety profile for this formulation has been reported to date; thus, in this study, freshly prepared Eladi quatha was evaluated for acute toxicity. Acute toxicity test was evaluated as per OECD 423 guidelines with 5000 mg/kg as a limit test in Wistar strain Albino rats. Test formulations were administered to overnight fasted animals and parameters like body weight, behavioral changes, and mortality were assessed for 14 days. Hematological and biochemical parameters were assessed on the 14th day after administration. Result - No significant changes were noted in terms of behavioral changes, mortality, and body weight. The samples did not affect any of the hematological parameters. However, an increase in blood urea level was observed. Conclusion- This study concludes that freshly prepared Eladi quatha is relatively safe up to the dose of 5000 mg/kg. However, further chronic toxicity evaluation is necessary to establish its safety profile on chronic administration

Mueller matrix polarimetry of plasmon resonant silver nano-rods: biomedical prospects

Fundamental understanding of the light-matter interaction in the context of nano-particles is immensely bene- fited by the study of geometry dependent tunable Localized Surface Plasmon Resonance (LSPR) and has been demonstrated to have potential applications in various areas of science. The polarization characteristics of LSPR in addition to spectroscopic tuning can be suitably exploited in such systems as contrast enhancement mech- anisms and control parameters. Such polarization characteristics like diattenuation and retardance have been studied here using a novel combination of Muller-matrix polarimetry with the T-matrix matrix approach for silver nano-rods to show unprecedented control and sensitivity to local refractive index variations. The study carried out over various aspect ratios for a constant equal volume sphere radius shows the presence of longitu- dinal (dipolar and quadrupolar) and transverse (dipolar) resonances; arising due to differential contribution of polarizabilities in two directions. The overlap regions of these resonances and the resonances themselves exhibit enhanced retardance and diattenuation respectively. The spectral and amplitude tunability of these polarimetric parameters through the aspect ratios to span from the minimum to maximum ([0, 1] in the case of diattenuation and [0, {\pi}] in the case of retardance) presents a novel result that could be used to tailor systems for study of biological media. On the other hand, the high sensitivity of diattenuation dip (caused by equal contribution of polarizabilities) could be possibly used for medium characterization and bio-sensing or bio-imaging studies.Comment: 8 pages, 6 figures, Proceedings of the Saratov Fall Meeting, 201