44 research outputs found
Ti K-edge X-ray absorption spectra of spray pyrolysis synthesized TiO2-x and TiO2-x Nx thin films
No full textStudy of structural, magnetic and electronic properties of Ni-Fe-Ga based ferromagnetic shape memory alloys
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DC electrical Resistance measurement in composite of cuprate Superconductor
No full textBulk YBCO sample is prepared using solid state reaction route. Transport property of YBCO+ x NiO (x = 0.1, 0.7, 1 wt. %) is studied four probe method. Microstructural analysis is performed using scanning electron microscope and phase confirmation of YBCO powder is done by X-ray diffraction method. Data collected are computer controlled through automated programs. The transition temperature is affected on addition of NiO to YBCO. Both Tc and Tc0 decrease immensely on addition of small quantity of magnetic materia
Local crystal structure in the vicinity of Cr in doped AlN thin films studied by X-ray absorption spectroscopy
No full textThis article reports the detailed X-ray absorption spectroscopy (XAS) study of Al1−xCrxN (x = 4, 6, 11%) thin films synthesized by the reactive magnetron co-sputtering technique.</p
Intrinsic stress modulation in diamond like carbon films with incorporation of gold nanoparticles by PLA
No full textBibliometric Visualisation Analysis of 20 Years of Research on Rehabilitation in Osteoarthritis Based on the Pubmed Database
No full textIntroduction: Osteoarthritis (OA) is quite a prevalent musculoskeletal condition in which rehabilitation is often considered as the first line of treatment. With the advancement of healthcare and enhanced life span as well as the prevalence of obesity, the burden of OA as a public health concern is increasing, necessitating a thorough research in the field. Despite its widespread occurrence, rehabilitation in OA is still a contentious subject.
Objectives: The objective of the present study is to quantitatively analyze trends in OA rehabilitation publications over the past 20 years.
Methods: Relevant literature on rehabilitation in OA from the PubMed database was searched and bibliometric and visualization analyses using biblioshiny in R-Studio and VOSviewer (version 1.6.20) was conducted. A total of 998 documents were retrieved from the Pub Med database from 2005 to 2025, to highlight the current state, key focuses, and trends in rehabilitation in OA.
Results: The most relevant journals were found to be “Osteoarthritis and Cartilage” and the “BMC Musculoskeletal Disorders”. Australia and the United were the most influential countries, and the most active institute was the University of Sydney and Royal North Shore Hospital. Author analysis revealed that Benell K L, Hinman R S, made the highest contributions. Clustering analysis of the keywords found that important research priorities were “exercise,” “knee osteoarthritis,” and “rehabilitation” reflecting the basis of research in the field. Research related to rehabilitation in OA has grown markedly in the past two decades. While pain was a consistently dominant research focus, other topics that gained more attention during this time period were OA in females and knee osteoarthritis.
Conclusions: The findings of this study provides a context for analyzing strengths and gaps in the current state of research in this field, and for informing a comprehensive strategy for further advancing the field
Fuel cell flow path design for improved efficiency and power density
No full textThermodynamic equipartitioning can improve the energy efficiency of a fuel cell at fixed size and fuel utilization by varying local cell potential to optimally distribute current density and electrochemical reaction rates over the electrode area. In practical systems however, potential across the end electrodes is fixed, resulting in higher current density near the inlet where reactant concentrations are highest. Here, a flow recirculation design for fuel and oxidizer streams is proposed to enable nearly uniform local current density distribution. The proposed configuration can achieve around 90 % of the thermodynamically feasible power enhancement, with higher improvement (up to 12 %) at a larger baseline system size. At a fixed power output, the design can also reduce area by 8 %–88 % through higher average current density operation. When cost-optimal system size is considered for both operating modes, a 2–6 % reduction in specific cost of energy can be achieved, with greater savings at higher fuel price compared to amortized cost of system area. Axial electrical conduction in the bipolar plates reduces energy efficiency improvements. Therefore, methods to limit axial conduction, such as reducing plate thickness or increasing its resistivity in the flow direction, are necessary to realize the full potential of the proposed design
Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network
No full textWorldwide, oral cancer is the sixth most common type of cancer. India is in 2nd position, with the highest number of oral cancer patients. To the population of oral cancer patients, India contributes to almost one-third of the total count. Among several types of oral cancer, the most common and dominant one is oral squamous cell carcinoma (OSCC). The major reason for oral cancer is tobacco consumption, excessive alcohol consumption, unhygienic mouth condition, betel quid eating, viral infection (namely human papillomavirus), etc. The early detection of oral cancer type OSCC, in its preliminary stage, gives more chances for better treatment and proper therapy. In this paper, author proposes a convolutional neural network model, for the automatic and early detection of OSCC, and for experimental purposes, histopathological oral cancer images are considered. The proposed model is compared and analyzed with state-of-the-art deep learning models like VGG16, VGG19, Alexnet, ResNet50, ResNet101, Mobile Net and Inception Net. The proposed model achieved a cross-validation accuracy of 97.82%, which indicates the suitability of the proposed approach for the automatic classification of oral cancer data
