EXCLUSIVE STUDY WITH SPECIAL REFERENCE TO THE EFFECTIVE UTILIZATION OF AVAILABLE RESOURCES IN THE COLLEGE LIBRARY BY THE COLLEGE STUDENTS

This article illustrates a special study with emphasis offer quency of the reason for information search by effective utilization of available resources by the college students in Dindigul district college library, India. In the present scenario, utilization of journals and books has been accelerated expeditiously. This paper limelight’s the availability of various sources of information resources, access and the utilization of available resources by the students pursuing UG and PG graduation. This study appraises the gender-wise frequency of visit to the library to know the impact of library visit based on qualification, reasons for information search with the available resources. Researchers those who frequent the library can retrieve the required information by accessing the resources in various formats which is available in the library even without the assistance of the librarian

Unsteady Flow Effects in Combustor Systems

A wide variety of combustion problems, including combustion instabilities and turbulent diffusion flames, appear to involve the entrainment and deformation of laminar flames by large vortex structures in the flow field. First, some details of this process of laminar flame distortion are examined by considering the interactions of time-dependent diffusion flames with two dimensional vortices. Second, Some results on the modelling of the non-steady combustion in burners for aircraft gas turbines are given. The general aim of the work is to develop a one dimensional model applicable to the NASA-Lewis Non-Steady Combustion Rig

Retention policies to be applied to generation Z at Siemens mobility, Portugal

This paper aims to develop the readers’ understanding of the retention strategies of Gen Z through various stages of employee life cycle management while understanding their characteristics and expectations they have from the organisation. It is important to understand this cohort and key strategies to be applied for bringing out the best in this new emerging young workforce. Motivating and empowering Generation Z employees requires moving from the conventional workplace model and making a ground-breaking shift to embrace the change for meeting the desired organizational goals. They are readily concerned with fuelling their passions and taking pride in the work they do

Efficacy of a bioactive alloplast, in the treatment of human periodontal osseous defects-a clinical study

Presently, bone replacement grafts are one of the modalities of therapy for which there is histologic evidence of regeneration coronal to the base of the previous osseous defect. Bioactive glasses are used extensively in medicine and dentistry. This study evaluated the additional efficacy of a bioactive alloplast, PerioGlas, in comparison with open flap debridement only. 8 systemically healthy volunteers were chosen, each having 2 collateral sites with ?6 mm clinical probing depth and radiographic evidence of an intrabony defect. Randomly, one defect was treated with open flap debridement plus bioactive glass (test) and the other with open flap debridement alone (control). At baseline, 3, 6, 9 months measurements were recorded which included plaque index, gingival index, pocket probing depth, clinical attachment level, and increase in gingival recession. Standardized radiographs were used to measure defect fill and alveolar crest resorption. The data were subjected to statistical analysis. Both treatments showed no significant differences between the two groups at any point of time. However, radiographically, bioactive glass group showed significant improvement in bone fill over the sites treated with open flap debridement alone. The alloplastic bone graft material, PerioGlas, demonstrated clinical advantages beyond that achieved by debridement alone

Distributed Improved Deep Prediction for Recommender System using an Ensemble Learning

If online businesses possess valuable interest for suggesting their items by scoring them, then digital advertising gains their profits depending on their promotions or marketing task. Web users cannot be certain that the products handled via big-data recommendation are either advanced or interesting to their needs. In recent decades, recommender system models have been widely used to analyses large quantities of information. Amongst, a Distributed Improved Prediction with Matrix Factorization (MF) and Random Forest (RF) called DIPMF model exploits individual’s desires, choices and social context together for predicting the ratings of a particular item. But, the RF scheme needs high computation power and time for learning process. Also, its outcome was influenced by the training parameters. Hence this article proposes a Distributed Improved Deep Prediction with MF and ensemble learning (DIDPMF) model is proposed to decrease the computational difficulty of RF learning and increasing the efficiency of rating prediction. In this DIDPMF, a forest attribute extractor is ensemble with the Deep Neural Network (fDNN) for extracting the sparse attribute correlations from an extremely large attribute space. So, incorporating RF over DNN has the ability to provide prediction outcomes from all its base trainers instead of a single estimated possibility rate. This fDNN encompasses forest module and DNN module. The forest module is employed as an attribute extractor to extract the sparse representations from the given raw input data with the supervision of learning outcomes. First, independent decision trees are constructed and then ensemble those trees to obtain the forest. After, this forest is fed to the DNN module which acts as a learner to predict the individual’s ratings with the aid of novel attribute representations. Finally, the experimental results reveal that the DIDPMF outperforms than the other conventional recommender systems

BIOSYNTHESIS AND CHARACTERIZATION OF SILVER NANOPARTICLES FROM MARINE MACROSCOPIC RED SEAWEED HALYMENIA PORPHYROIDES BOERGESEN (CRYPTON) AND ITS ANTIFUNGAL EFFICACY AGAINST DERMATOPHYTIC AND NON-DERMATOPHYTIC FUNGI

Objective: The current study illustrates the biosynthesis of economically scalable and energy efficient colloidal silver nanoparticles (AgNPs) from marine red seaweed Halymenia porphyroides Boergesen (Crypton) collected from Southeast coast of Tamil Nadu, India, and their antifungal efficacy against dermatophytic and non-dermatophytic fungi was evaluated. Methods: The biosynthesis of silver nanoparticles from marine macroscopic red seaweed H. porphyroides Boergesen were synthesized by green synthesis method and characterized by UV–Vis spectroscopy, Fourier transform infrared (FT-IR) spectroscopy, X-ray diffraction, thermogravimetric analysis (TGA), scanning electron microscope (SEM), and transmission electron microscopy (TEM). The efficacy of silver nanoparticles against dermatophytic and non-dermatophytic fungi was performed by disk diffusion method. Results: The presence of silver nanoparticles with an average size between 34.3 and 80 nm and exhibiting face-centered cubic structure was confirmed. SEM revealed the morphology of the nanoparticles as spherical and TEM exhibited the nanoparticle distribution. The FT-IR spectra confirmed the presence of potential biomolecules in the seaweed crude extract which is responsible for reducing and capping the bioreduced silver nanoparticles. The UV absorption spectra at 430.5 nm revealed the characteristic spectra of the silver nanoparticles. The purity and the thermal stability of silver nanoparticles were revealed by TGA. Silver nanoparticles showed significant efficacy against dermatophytes and Rhizopus microsporus among non-dermatophytes. Conclusion: Intermediate efficacy was observed against dermatophytes and among non-dermatophytic fungi R. microsporus exhibited better efficacy, whereas Aspergillus flavus were resistant to the biosynthesized silver nanoparticle

Efficacy and toxicity of 8 day methotrexate/folinic acid regimen in the management of low risk gestational trophoblastic neoplasia: a prospective observational study

Background: Gestational trophoblastic neoplasia (GTN) is a rare malignancy that arises from abnormal proliferation of trophoblastic cells. Low risk GTN responds well to single agent chemotherapy with good survival rate. Objective of the study was to assess the efficacy and toxicity of methotrexate chemotherapy in low risk GTN patients receiving 8-day methotrexate (MTX)/folinic acid (FA) regimen. A prospective observational study done in a tertiary care hospital in South India.Methods: This prospective observational study was conducted at a tertiary care hospital in south India between July 2015 and July 2018 and included 56 patients with low risk GTN treated with 8-day MTX/FA regimen.Results: Among the 56 patients treated, complete remission was achieved in 50 (89.3%). Molar pregnancy was the most common preceding pregnancy event (96.7%) and 63.3% of them developed GTN within 4 months of evacuation. Six non responders were treated with EMACO regimen and achieved complete remission. The most common toxicities were mucositis (46.4%) and neutropenia (17.8%). Overall survival of low risk GTN was 100% at the end of median follow up period of 14.4 months.Conclusions: For patients with low risk GTN, 8-day MTX/FA regimen is associated with a high rate of remission and low toxicity

Delay-efficient 4:3 counter design using two-bit reordering circuit for high-speed Wallace tree multiplier

In many signal processing applications, multiplier is an important functional block that plays a crucial role in computation. It is always a challenging task to design the delay optimized multiplier at the system level. A new and delay-efficient structure for the 4:3 counter is proposed by making use of a two-bit reordering circuit. The proposed 4:3 counter along with the 7:3 counter, full adder (FA), and half adder (HA) circuits are employed in the design of delay-efficient 8-bit and 16-bit Wallace tree multipliers (WTMs). Using Xilinx Vivado 2017.2, the designed circuits are simulated and synthesized by targeting the device ‘xc7s50fgga484-1’ of Spartan 7 family. Further, in terms of lookup table (LUT) count, critical path delay (CPD), total on-chip power, and power-delay-product (PDP), the performance of the proposed multiplier circuit is compared with the existing multipliers

SYNTHESIS OF 1-BENZOYL-3-PHENYL-1H-PYRAZOLE-4-CARBALDEHYDE AND EVALUATION OF THEIR ANTIOXIDANT AND ANTI-INFLAMMATORY ACTIVITY

Objective: The main objective of this study is to synthesize a series of 1-Benzoyl-3-phenyl-1H-pyrazole-4-carbaldehyde (4a-e) derivatives and evaluation of the synthesized compounds for their antioxidant and anti-inflammatory activity. Methods: A series of substituted acetophenones are condensed with hydrazides to the corresponding hydrazones which are subsequently cyclized by using vilsmier-Haack reaction to give final series of 1-Benzoyl-3-phenyl-1H-pyrazole-4-carbaldehyde (4a-e) derivatives respectively. All newly synthesized compounds were characterized on the basis of infrared, proton nuclear magnetic resonance and mass spectral data and screened for their antioxidant and anti-inflammatory activities. Results: In view of the significant biological activity profile of Pyrazole, the synthesized compounds (4a-e) were evaluated for their antioxidant potency by DPPH, Nitric oxide, Hydroxyl radical scavenging, and Hydrogen Peroxide method. Compounds 4c and 4e showed potent antioxidant activity then standard. Synthesized compounds were also screened for anti-inflammatory activity. Among all the molecules 4c, 4e, and 4d showed significant activity as compared to standard drug diclofenac sodium. Conclusion: in this study, we synthesized 1-Benzoyl-3-phenyl-1H-pyrazole-4-carbaldehyde (4a-e) derivatives. Further, these derivatives showed significant antioxidant and anti-inflammatory activity. Among them, two molecules 4c and 4e have shown near action to the standard