अरविन्ददर्शन के आलोक में 'सुमित्रानंदन पंत' और 'सुन्दरम्' के काव्य का तुलनात्मक अध्ययन

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History of falls, mild cognitive impairment, and the presence of home environmental hazards among community-dwelling older persons in District V, Manila

Abstract Introduction: It is important to investigate factors that may increase the fall risk in the geriatric population. This study aimed to determine the relationship between: 1) mild cognitive impairments (MCI) and history of falls; 2) home environmental hazards (HEH) and history of falls; and 3) MCI and HEHs among older adults. Methods: Community-dwelling older persons of District V, Manila were random sampled to participate in this cross-sectional correlational study. The Home Falls and Accidents Screening Tool for Health Professionals (HOMEFAST-HP) and Fall History Questionnaire were used to collect information on the presence of HEH and history of falls, respectively. Chi-Square test was used to determine the relationships between variables. Results: Thirty-seven (37) older adults, with a mean age of 69.8 + 8.1 years (range = 60-95), 84% female, participated. Majority (78.4%) have MCI. Seven (18.9%) have a history of falls. However, no significant association (p=0.12) exists between MCI and history of falls. About 68.2% of fallers were noted to have HEH, with improper bed (p=.04), inaccessible kitchen items (p=.02) and unidentifiable step edges (pp=.04) and improper bed (p=.01) as HEH reached significant association with MCI. Discussion: In this study, MCI is not associated with the history of falls. HEH are more common in MCI and fallers, particularly the inaccessible kitchen items, improper bed, loose mats, and unidentifiable edges of steps. Home modifications to address these identified HEH may decrease the fall risk of Filipino older adults with and without MCI. Further investigation using a bigger sample size across different dwelling situations should be considered

A Survey on Improved Hybrid Classification Methods in Data Mining

Data mining is powerful concept with great potential to predict future trends and behaviour. It refers to the extraction of hidden knowledge from large data set using various techniques. But as the amount of data generated is increasing exponentially, harnessing such voluminous data has become a major challenge. To address this problem there is proposed various improved classification methods into Data mining. All this methods use hybrid algorithm to improve classification in data mining. Here hybrid algorithm is nothing but logical combination of multiple pre-existing techniques to enhance performance and provide better results

Type A Dissection Presenting as a Double Aortic Valve

We report a case of spontaneous aortic root dissection in a middle-aged male without history of recent trauma, mimicking double aortic valve on the echocardiogram which extended to the right brachiocephalic artery. The patient immediately underwent Bentall procedure

Development and characterisation of a cascade of moving baffle oscillatory crystallisers (CMBOC)

A novel four stage Cascade of Moving Baffle Oscillatory Crystallisers (CMBOC) is developed, characterised and implemented for continuous crystallisation of pharmaceuticals. The platform was fully automated with pressure controlled slurry transfer and process analytical tools (PAT) to support process monitoring and control. Model predictive control was used to achieve precise temperature control during operation of crystallisations. Mixing and flow characterisation for liquids and slurries was performed confirming near-ideal mixing performance for mean residence times in the range 20 – 90 min. Heat transfer characteristics were determined and shown to be well suited to the demands of cooling crystallisation processes. Heat transfer efficiency increased with increasing oscillatory Reynolds number (Reo). This cascade is shown to provide the advantages of more uniform mixing and efficient heat transfer performance compared to a traditional cascade of stirred tank crystallisers. Continuous crystallisations of both alpha lactose monohydrate (ALM) and paracetamol (PCM) were carried out in which the target size, form, agglomeration and encrustation were controlled. For ALM, the products showed a narrow particle size distribution (PSD) with dv50 = 65 ± 5 μm and a span of 1.4 ± 0.2, and achieved a yield of 70%. The continuous crystallisation of paracetamol in the CMBOC produced non-agglomerated product with dv50 = 398 ± 20μm with a span of 1.5 ± 0.2 and achieved an 85% yield. No fouling or encrustation in the vessels or transfer lines were observed during the processes. The flexible configuration and operation of the platform coupled with well characterised shear rate distribution, residence time distributions and heat transfer shows that this platform is well suited to a range of crystallisation modes including seeded, antisolvent, cooling or reactive processes, where careful control of crystal attributes is required

A Non - Singular Cosmological Model with Shear and Rotation

We have investigated a non-static and rotating model of the universe with an imperfect fluid distribution. It is found that the model is free from singularity and represents an ever expanding universe with shear and rotation vanishing for large value of time.Comment: 10 pages, late

Some asymptotic properties of duplication graphs

Duplication graphs are graphs that grow by duplication of existing vertices, and are important models of biological networks, including protein-protein interaction networks and gene regulatory networks. Three models of graph growth are studied: pure duplication growth, and two two-parameter models in which duplication forms one element of the growth dynamics. A power-law degree distribution is found to emerge in all three models. However, the parameter space of the latter two models is characterized by a range of parameter values for which duplication is the predominant mechanism of graph growth. For parameter values that lie in this ``duplication-dominated'' regime, it is shown that the degree distribution either approaches zero asymptotically, or approaches a non-zero power-law degree distribution very slowly. In either case, the approach to the true asymptotic degree distribution is characterized by a dependence of the scaling exponent on properties of the initial degree distribution. It is therefore conjectured that duplication-dominated, scale-free networks may contain identifiable remnants of their early structure. This feature is inherited from the idealized model of pure duplication growth, for which the exact finite-size degree distribution is found and its asymptotic properties studied.Comment: 19 pages, including 3 figure

A Perceptive of Bibliometric Analysis on University-Industry Collaboration Using PRISMA Framework

Collaboration between the university and industry can lead to successful knowledge transfer, technology transfer, and skill development. To improve the economy in the world, this collaboration advocates IPR, real-time research, and skilled students who are ready for the workforce. The bibliometric analysis methodology is employed in this study to examine, assess, and pinpoint the advantages and disadvantages of UIC. We searched for pertinent research papers for this study using the Google Scholar database and the search term "University-Industry Collaboration". Although there were many articles available, we only included one that had at least 21 citations and was published by Springer and Elsevier between 1998 and 2023. The introduction, methodology, result, and conclusion are the four sections that make up this paper. The present state of research, findings, gaps, and methodology are highlighted in this research article to help steer future investigations