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131.
MJ Macielag JP Demers SA Fraga-Spano DJ Hlasta SG Johnson RM Kanojia RK Russell Z Sui MA Weidner-Wells H Werblood BD Foleno RM Goldschmidt MJ Loeloff GC Webb JF Barrett 《Canadian Metallurgical Quarterly》1998,41(16):2939-2945
A new class of inhibitors of the two-component regulatory systems (TCS) of bacteria was discovered based on the salicylanilide screening hits, closantel (1) and tetrachlorosalicylanilide (9). A systematic SAR study versus a model TCS, KinA/Spo0F, demonstrated the importance of electron-attracting substituents in the salicyloyl ring and hydrophobic groups in the anilide moiety for optimal activity. In addition, derivatives 8 and 16, containing the 2, 3-dihydroxybenzanilide structural motif, were potent inhibitors of the autophosphorylation of the KinA kinase, with IC50s of 2.8 and 6. 3 µM, respectively. Compound 8 also inhibited the TCS mediating vancomycin resistance (VanS/VanR) in a genetically engineered Enterococcus faecalis cell line at concentrations subinhibitory for growth. Closantel (1), tetrachlorosalicylanilide (9), and several related derivatives (2, 7, 10, 11, 20) had antibacterial activity against the drug-resistant organisms, methicillin-resistant Staphylococcus aureus (MRSA) and vancomycin-resistant Enterococcus faecium (VREF). 相似文献
132.
Dieter von Deak Deepika Singh Elizabeth J. Biddinger Jesaiah C. King Burcu Bayram Jeffrey T. Miller Umit S. Ozkan 《Journal of Catalysis》2012,285(1):145-151
The role of the transition metal used during the growth of non-noble metal electrochemical oxygen reduction CNx catalysts was investigated through sulfur treatment, a well-known poison for transition metal-based catalysts. The intent of sulfur poisoning was to show the existence of an electrocatalytic active site in CNx that did not depend on iron. The sulfur treatment was shown to be effective on a platinum catalyst, as seen by the decreasing onset potential. The same treatment, however, not only showed no negative effect on the CNx catalyst, but enhanced its performance, as seen by the increase in the onset potential. This suggests that, if there are iron-based active sites in these catalysts, they are either sulfur tolerant or they do not participate in the electrocatalytic oxygen reduction. The deposition of sulfur onto CNx catalyst was verified by temperature-programmed oxidation and X-ray photoelectron spectroscopy. Iron K-edge X-ray absorption near edge structural analysis of the CNx catalyst suggested that the iron phase, which was primarily composed of nanometer-sized metallic particles, was unchanged by sulfur poisoning, suggesting that the residual iron left in these materials is not catalytically accessible. 相似文献
133.
Deepika Sharma Gagangeet Singh Aujla Rohit Bajaj 《International Journal of Communication Systems》2023,36(12):e4058
The evolution of intelligent and data-driven systems has pushed for the tectonic transition from ancient medication to human-centric Healthcare 4.0. The rise of Internet of Things, Internet of Systems, and wireless body area networks has endowed the health care ecosystem with a new digital transformation supported by sophisticated machine learning and artificial intelligence algorithms. Under this umbrella, health care recommendation systems have emerged as a driver for providing patient-centric personalized health care services. Recommendation systems are automatic systems that derive the decisions on the basis of some valid input parameters and vital health information collected through wearable devices, implantable equipments, and various sensor. Therefore, to understand the state-of-the-art developments in the health care ecosystem, this paper provides a comprehensive survey on health care recommendation systems and the associated paradigms. This survey starts from the ancient health care era and move toward the Healthcare 4.0 in a phased manner. The road map from Healthcare 1.0 to Healthcare 4.0 is analyzed to highlight different technology verticals supporting the digital transformation. This study also provides the systematic review of the health care systems, the types of health care systems, and the recommender systems. Moreover, a deep analysis of health care recommender systems and its types is also presented. Finally, the open issues and challenges associated with the adaption and implementation of human-centric Healthcare 4.0 ecosystem are discussed. This is provided to find out the possible research questions and gaps so that the corresponding solutions could be developed in the near future. 相似文献
134.
Deepika Sharma Lalita Ledwani Naveen Kumar Naveed Pervaiz Tarang Mehrotra Ravinder Kumar 《IET nanobiotechnology / IET》2020,14(9):858
In the present investigation, Rheum emodi roots extract mediated magnesium hydroxide nanoparticles [Mg(OH)2 NPs] through the bio‐inspired experimental technique were synthesised. Mg(OH)2 NPs were characterised by using various characterisation techniques such as field emission scanning electron microscopy, transmission electron microscopy (TEM), Fourier transform infrared spectroscopy (FTIR), and ultraviolet–visible spectroscopy. The formation of Mg(OH)2 NPs was confirmed by X‐ray diffraction. The structural analysis confirmed the hexagonal crystal symmetry of Mg(OH)2 NPs with space group P‐3m1 and space group no. 164 using the Rietveld refinement technique. TEM micrographs illustrated the nano‐size formation of Mg(OH)2 NPs of spherical shape and size ∼14.86 nm. With the aid of FTIR data, plant metabolites such as anthraquinones have been identified as a stabilising and reducing agent for the synthesis of biogenic Mg(OH)2 NPs. The synthesised Mg(OH)2 NPs showed antimicrobial and cytotoxic potential against Gram‐negative and Gram‐positive bacteria such as Escherichia coli (ATCC 25922) and Staphylococcus aureus (ATCC 25923) and MDA‐MB‐231 human breast cancer cell lines.Inspec keywords: antibacterial activity, microorganisms, visible spectra, cancer, X‐ray diffraction, cellular biophysics, nanomedicine, ultraviolet spectra, nanoparticles, transmission electron microscopy, nanofabrication, field emission scanning electron microscopy, Fourier transform infrared spectra, particle size, magnesium compounds, space groups, toxicologyOther keywords: physicochemical properties, structural properties, Rheum emodi root extract mediated magnesium hydroxide nanoparticles, bio‐inspired experimental technique, field emission scanning electron microscopy, transmission electron microscopy, TEM, Fourier transform infrared spectroscopy, FTIR spectroscopy, ultraviolet‐visible spectroscopy, X‐ray diffraction, hexagonal crystal symmetry, space group P‐3m1, space group no. 164, Rietveld refinement technique, nanosize formation, plant metabolites, spherical shape, antibacterial potential, cytotoxic potential, reducing agent, anthraquinones, stabilising agent, Gram‐positive bacteria, Gram‐negative bacteria, Escherichia coli, Staphylococcus aureus, MDA‐MB‐231 human breast cancer cell lines, Mg(OH)2 相似文献
135.
A compact planar frequency reconfigurable dual‐band multiple‐input‐multiple‐output (MIMO) antenna with high isolation and pattern/polarization diversity characteristics is presented in this article for WiFi and WiMAX standards. The MIMO configuration incorporates two symmetrically placed identical antenna elements and covers overall size of 24 mm × 24 mm × 0.762 mm. Reconfiguration of each antenna element is achieved by using a PIN diode which allows antennas to switch from state‐1 (2.3‐2.4 GHz and 4.6‐5.5 GHz) to state‐2 (3.3‐3.5 GHz and 4.6‐5.5 GHz). In state‐1, the configuration offers isolation ≥18 dB and 20 dB in lower band (LB) and upper band (UB) respectively; whereas, in state‐2, isolation ≥21 dB and 20 dB in LB and UB respectively is achieved. The same decoupling circuit provides high isolation in dual‐band of two states, which makes overall size of the proposed design further compact. The antennas are characterized in terms of envelope correlation coefficient, radiation pattern, gain, and efficiency. From measured and simulated results, it is verified that the proposed frequency reconfigurable dual‐band multi‐standard MIMO antenna design shows desirable performance in both operating bands of each state and compact size of the design makes it suitable for small form factor devices used in future wireless communication systems. 相似文献
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138.
Ankita Awari;Mukul Kumar;Deepika Kaushik;Emel Oz;Charalampos Proestos;Maomao Zeng;Charles Brennan;Mukhtar Ahmed;Fatih Oz; 《International Journal of Food Science & Technology》2024,59(8):5512-5524
The study investigates, the potential utilisation of the Garcinia indica linn rind powder as a valuable and healthy ingredient for food industry. Techno-functional properties revealed the functional attributes which is crucial for product development. Characterisation of the powder and extract revealed the physical, chemical, and structural properties through FTIR, HPLC, and SEM. Therefore, moisture content (5.45%), ash content (2.80%), fibre content (7.56%), and fat content (9.54%) were reported in G. indica linn rind. Phytochemical analysis indicated significant levels of phenolic and flavonoid compounds, suggesting antioxidant potential, supported by inhibition in the DPPH assay with IC50 value of 485.1 μg/mL. In-vitro assays revealed inhibitory effects on α-amylase with IC50 value of 58.43 μg/mL and glucose with an IC50 value of 0.39 μg/mL, indicating potential benefits in blood glucose management and weight control. Overall, G. indica rind powder shows promise as a natural ingredient with diverse applications in functional foods and nutraceuticals, offering potential health benefits through innovative product formulations. 相似文献
139.
Vinay Gautam Naresh Kumar Trivedi Abhineet Anand Rajeev Tiwari Atef Zaguia Deepika Koundal Sachin Jain 《计算机系统科学与工程》2023,44(3):2259-2275
Skin lesions detection and classification is a prominent issue and difficult even for extremely skilled dermatologists and pathologists. Skin disease is the most common disorder triggered by fungus, viruses, bacteria, allergies, etc. Skin diseases are most dangerous and may be the cause of serious damage. Therefore, it requires to diagnose it at an earlier stage, but the diagnosis therapy itself is complex and needs advanced laser and photonic therapy. This advance therapy involves financial burden and some other ill effects. Therefore, it must use artificial intelligence techniques to detect and diagnose it accurately at an earlier stage. Several techniques have been proposed to detect skin disease at an earlier stage but fail to get accuracy. Therefore, the primary goal of this paper is to classify, detect and provide accurate information about skin diseases. This paper deals with the same issue by proposing a high-performance Convolution neural network (CNN) to classify and detect skin disease at an earlier stage. The complete methodology is explained in different folds: firstly, the skin diseases images are pre-processed with processing techniques, and secondly, the important feature of the skin images are extracted. Thirdly, the pre-processed images are analyzed at different stages using a Deep Convolution Neural Network (DCNN). The approach proposed in this paper is simple, fast, and shows accurate results up to 98% and used to detect six different disease types. 相似文献
140.
Efi Papatheocharous;Claes Wohlin;Deepika Badampudi;Jan Carlson;Krzysztof Wnuk; 《Journal of Software: Evolution and Process》2024,36(9):e2668
During software evolution, decisions related to components' origin or source significantly impact the quality properties of the product and development metrics such as cost, time to market, ease of maintenance, and further evolution. Thus, such decisions should ideally be supported by evidence, i.e., using previous experiences and information from different sources, even own previous experiences. A hindering factor to such reuse of previous experiences is that these decisions are highly context-dependent and it is difficult to identify when previous experiences come from sufficiently similar contexts to be useful in a current setting. Conversely, when documenting a decision (as a decision experience), it is difficult to know which context factors will be most beneficial when reusing the experience in the future. An interview study is performed to identify a list of context factors that are perceived to be most important by practitioners when using experiences to support decision-making for component sourcing, using a specific scenario with alternative sources of experiences. We observed that the further away (from a company or an interviewee) the experience evidence is, as is the case for online experiences, the more context factors are perceived as important by practitioners to make use of the experience. Furthermore, we discuss and identify further research to make this type of decision-making more evidence-based. 相似文献