Journal articles on the topic 'Gold'

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1

Buklioska Ilievska, Daniela, Marjan Baloski, Jane Bushev, Jordan Minov, Ivana Mickovski, Irena Gigovska Dimova, Natasha Eftimovska Otovikj, and Radmila Milosheska. "Metabolic syndrome (mets) as one of the major comorbidities of chronic obstructive pulmonary disease (copd)." Respiratio 13, no. 1-2 (August 31, 2023): 45–56. http://dx.doi.org/10.26601/rsp.aprs.23.4.

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Aim: We aimed to investigate the association between COPD and MetS, the relation to the severity of airflow limitation. Methods: This is a cross-sectional study including 220 patients with initially diagnosed COPD (IG), aged 40 to 75 years and 58 non-COPD subjects matched by age, smoking status, body mass index, as controls (CG). All study participants underwent anthropometric measurements, fasting blood sugar (FBS), lipid profile, pulmonary evaluation (dyspnea severity assessment, baseline and postbronchodilator spirometry, gas analyses, chest X-ray). Results: Results presented statistically significant difference in presence of MetS in COPD patients compared to controls (32.27% vs 10.34%; P=0.0009). According to the GOLD classification, the frequencies of MetS in COPD patients were categorized in stages I, II, III, IV (17.54%, 37.10%, 34.62%, 40.82%, respectively). The proportion of patients with increased glycemic values was: a) GOLD1 - 18 (31.58%); b) GOLD 2 - 32 (51.61%); c) GOLD3 - 29 (55.77%); and d) GOLD4 - 31 (63.27%). There was no significant difference between IG and CG patients regarding HDL level. According to arterial hypertension the highest proportion was observed in GOLD3 - 22 (42.31%) followed by GOLD4 - 20 (40.82%), and GOLD3 - 22 (35.48 %), smallest in GOLD1 - 17 (29.82%). Conclusion: We found higher prevalence of MetS in patients with COPD even in early COPD stages compared to non-COPD. Our findings suggest an urgent need to develop comprehensive strategies for prevention, screening and start of treatment in early stage.
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2

Bischoff, Günther C. O. "Gold-adsorbing bacteria as colonisers on alluvial placer gold." Neues Jahrbuch für Geologie und Paläontologie - Abhandlungen 194, no. 2-3 (December 21, 1994): 187–209. http://dx.doi.org/10.1127/njgpa/194/1994/187.

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3

Landon, Preston B., Alexander H. Mo, Chen Zhang, Chris D. Emerson, Adam D. Printz, Alan F. Gomez, Christopher J. DeLaTorre, et al. "Designing Hollow Nano Gold Golf Balls." ACS Applied Materials & Interfaces 6, no. 13 (June 26, 2014): 9937–41. http://dx.doi.org/10.1021/am502519x.

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4

Patteson, Patricia H., and Gerald D. Swick. "Black Gold, Fool's Gold." Appalachian Heritage 30, no. 2 (2002): 62–72. http://dx.doi.org/10.1353/aph.2002.0101.

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5

V, Radhamani, Manju D, Bobby Prathikshana M, Javagar M, Nivetha V, and Rinubha P. "Respected Author, Your research paper has been published successfully. Please find the link below. http://ymerdigital.com/archives/?cpage=6&issId=%202106 Please find the below DOI allocated to your article. 10.37896/YMER21.07/13 OR https://www.doi.org/10.37896/YMER21.07/13 Please find the below attached E- certificates Thanks." YMER Digital 21, no. 07 (July 7, 2022): 183–92. http://dx.doi.org/10.37896/ymer21.07/14.

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Since ancient times, gold has been cherished for its value and worth. Back then, gold was primarily used for trading purposes and as a method of remuneration. But now, it is looked upon as an investment and is found to exhibit the wealth of a country. Expensive metals like gold, in critical times, are used to assure the reimbursement of money borrowed as well. Thereby, gold is not only found to behold the rich, but also the poor. During pandemic crises, like the Covid-19, investments on gold in early times, might have a beneficial impact. Hence, predicting gold rates with live data and investing on golds at the right time is quite useful. Various machine learning algorithms like the linear regression, decision tree and random forest have been used to predict the gold rates. By using different algorithms, we've come to a conclusion that the random forest method provides more accurate results. Keywords: Gold rates, prediction, live gold rates, random forest, decision tree, linear regression, predictive analytics
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6

Marshall, Michael. "New form of gold is more gold than gold." New Scientist 239, no. 3185 (July 2018): 16. http://dx.doi.org/10.1016/s0262-4079(18)31194-1.

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7

Murali Mohan, BV. "GOLD Guidelines 2017: as good as gold1." APIK Journal of Internal Medicine 5, no. 2 (2017): 57. http://dx.doi.org/10.4103/2666-1802.258908.

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8

K.S.Nemavathi, K. S. Nemavathi, and Dr V. R. Nedunchezhian Dr. V.R Nedunchezhian. "A Study on Impact of Price Behaviour of Commodity Gold and Gold ETF." International Journal of Scientific Research 2, no. 8 (June 1, 2012): 240–41. http://dx.doi.org/10.15373/22778179/aug2013/80.

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9

Kittleson, Michelle M., and Sonia Garg. "Solid Gold, or Liquid Gold?" Circulation 143, no. 12 (March 23, 2021): 1198–201. http://dx.doi.org/10.1161/circulationaha.120.052925.

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10

Medina, J. "Mat Gold—Gold Foil Restoration." Operative Dentistry 33, no. 3 (January 1, 2008): 239–45. http://dx.doi.org/10.2341/08-gf.

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11

Wilks, Colin. "Gold standards and fool's gold." Australian Veterinary Journal 79, no. 2 (February 2001): 115. http://dx.doi.org/10.1111/j.1751-0813.2001.tb10717.x.

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12

Silva, Gabriel. "Gold 1, and: Gold 3." Cream City Review 42, no. 2 (2018): 86–87. http://dx.doi.org/10.1353/ccr.2018.0080.

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13

Roxburgh, Michelle, and Pat Gall. "Fool's Gold or Real Gold?" Journal of Perioperative Practice 16, no. 9 (September 2006): 428–33. http://dx.doi.org/10.1177/175045890601600903.

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14

Donaldson, Laurie. "When is gold not gold?" Materials Today 15, no. 12 (December 2012): 530. http://dx.doi.org/10.1016/s1369-7021(13)70007-5.

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15

Guerra, Maria Filomena, and Thomas Calligaro. "Gold traces to trace gold." Journal of Archaeological Science 31, no. 9 (September 2004): 1199–208. http://dx.doi.org/10.1016/j.jas.2002.05.001.

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16

Banhart, John. "Gold and Gold Alloy foams." Gold Bulletin 41, no. 3 (September 2008): 251–56. http://dx.doi.org/10.1007/bf03214878.

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17

Rockerbie, Duane W. "Gold prices and gold production." Resources Policy 25, no. 2 (June 1999): 69–76. http://dx.doi.org/10.1016/s0301-4207(99)00009-4.

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18

Crespo, Olga. "ChemInform Abstract: Gold-Gold Interactions." ChemInform 41, no. 35 (August 5, 2010): no. http://dx.doi.org/10.1002/chin.201035230.

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19

Zielasek, Volkmar, Birte Jürgens, Christian Schulz, Jürgen Biener, Monika M. Biener, Alex V. Hamza, and Marcus Bäumer. "Gold Catalysts: Nanoporous Gold Foams." Angewandte Chemie International Edition 45, no. 48 (December 11, 2006): 8241–44. http://dx.doi.org/10.1002/anie.200602484.

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20

Yan, Li, Peiqing Sun, Yun Xu, Shanbo Zhang, Wei Wei, and Jing Zhao. "Integration of a Gold-Specific Whole E. coli Cell Sensing and Adsorption Based on BioBrick." International Journal of Molecular Sciences 19, no. 12 (November 24, 2018): 3741. http://dx.doi.org/10.3390/ijms19123741.

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Detection and recovery of heavy metals from environmental sources is a major task in environmental protection and governance. Based on previous research into cell-based visual detection and biological adsorption, we have developed a novel system combining these two functions by the BioBrick technique. The gold-specific sensory gol regulon was assembled on the gold-chaperone GolB (Gold-specific binding protein), which is responsible for selectively absorbing gold ions, and this led to an integration system with increased probe tolerance for gold. After being incorporated into E. coli, this system featured high-selective detection and recycling of gold ions among multi-metal ions from the environment. It serves as an efficient method for biological detection and recovery of various heavy metals. We have developed modular methods for cell-based detection and adsorption of heavy metals, and these offer a quick and convenient tool for development in this area.
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21

Khusainova, Alfiya Sh, Yury A. Kalinin, Olga L. Gaskova, and Svetlana B. Bortnikova. "Typomorphic characteristic of gold from tailings of pyrite-polymetallic deposits of Siberian." Georesursy 23, no. 3 (August 30, 2021): 149–63. http://dx.doi.org/10.18599/grs.2021.3.18.

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The long-term stored tailings of the ore concentration of pyrite-polymetallic ore deposits are an ideal natural laboratory in which it is possible to study the gold transformation from primary ores to supergene with superimposed anthropogenic characteristics. The typomorphic characteristics of native gold are studied on the example of technogenic-mineral formations (TMF) of the Novo-Ursk, Belokluch and Zmeinogorsk deposits (Western Siberia). The grain size distribution of gold and its concentration, morphology, internal structure and chemical composition shows the features of gold conversion in the processes of dissolution, migration and secondary deposition at geochemical barriers. As a result of a typomorphic analysis, external and internal signs were identified that prove that gold underwent supergene transformations directly in the body of the technogenic tailings. The growths and accumulations of nano- and micro-size gold, the formation of particles of aggregate structure, lamination, fine particles and veinlets, openwork edges, as well as the absence of physical damage on the surface of the golds, confirm the active mobility of gold at the scales of tailings and emphasize the complex nature of multi-stage processes of gold mobilization. The gold formation of different chemical composition in TMF is explained by specific physical and chemical conditions for the section of the mound of stored waste, different sources of primary gold and geochemical barriers. Au(S2O3)n(1-2n) and Au(HS)2– are the main complexes responsible for the mobility of gold. Gold of low and medium fineness is formed from thiosulfate complexes, whereas high-fineness gold is formed from hydrosulfide complexes.
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22

Reumann, Matthias. "EMBS GOLD and MGA GOLD---adding a new dimension [GOLD]." IEEE Engineering in Medicine and Biology Magazine 28, no. 5 (September 2009): 12–12. http://dx.doi.org/10.1109/memb.2009.934582.

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23

Twite, Garry. "Gold Prices, Exchange Rates, Gold Stocks and the Gold Premium." Australian Journal of Management 27, no. 2 (December 2002): 123–40. http://dx.doi.org/10.1177/031289620202700202.

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24

Gurbaxani, Arpita, Jalpa Thakkar, Smriti Pathak, Ashutosh Mathur, and Sameera Raees. "Examining factors influencing investment in Digital Gold and Gold ETF using the PCA technique." Investment Management and Financial Innovations 20, no. 2 (May 8, 2023): 160–70. http://dx.doi.org/10.21511/imfi.20(2).2023.14.

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Digital Gold and Gold Exchange Traded Fund have emerged as an electronic option for investment in gold in India. The purpose of this study is to determine influential factors forming the perception and level of awareness of individuals toward investing in Digital Gold and Gold Exchange Traded Fund, and also analyze the relationship among these influential factors. Data for this quantitative analysis were obtained from a self-administered 5-point Likert questionnaire of 158 respondents who are individual investors investing in either Digital Gold or Gold Exchange Traded Fund to achieve the objectives of the study. Principal Component Analysis has been adapted as a dimension reduction technique to identify the factors impacting the decision of investing in Gold Exchange Traded Fund and Digital Gold. The factors that induce investors to invest in Digital Gold and Gold Exchange Traded Fund as identified in this study are conduciveness, security, and ease of accessibility. The factors that compel investors not to invest in Digital Gold and Gold ETFs are lack of contentment, operational challenges, lack of awareness, brokerage expenses, and infeasibility. The results disclosed that variables such as lack of satisfaction and lack of knowledge have higher factor loadings of 0.997, which indicates that investors are required to be more educated about the Digital Gold and Gold Exchange Traded Fund. Securities and Exchange Board of India, Reserve Bank of India and other regulatory authorities in India may consider regulation of Digital Gold so that it can be accepted as a trustworthy source of investment.
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25

(‘Dick’) Parish, R. V., Laila S. Moore, Annick J. J. Dens, D. Michael P. Mingos, and Darren J. Sherman. "Gold-197 Mössbauer spectra and the bonding of some gold–gold and gold–platinum clusters." J. Chem. Soc., Dalton Trans., no. 3 (1989): 539–43. http://dx.doi.org/10.1039/dt9890000539.

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26

Tauson, Vladimir L. "Gold solubility in the common gold-bearing minerals: Experimental evaluation and application to pyrite." European Journal of Mineralogy 11, no. 6 (November 29, 1999): 937–48. http://dx.doi.org/10.1127/ejm/11/6/0937.

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27

&NA;. "Gold." Reactions Weekly &NA;, no. 546 (April 1995): 9. http://dx.doi.org/10.2165/00128415-199505460-00034.

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&NA;. "Gold." Reactions Weekly &NA;, no. 555 (June 1995): 6. http://dx.doi.org/10.2165/00128415-199505550-00021.

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&NA;. "Gold." Reactions Weekly &NA;, no. 564 (August 1995): 8. http://dx.doi.org/10.2165/00128415-199505640-00023.

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&NA;. "Gold." Reactions Weekly &NA;, no. 577 (November 1995): 6. http://dx.doi.org/10.2165/00128415-199505770-00025.

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&NA;. "Gold." Reactions Weekly &NA;, no. 586 (February 1996): 8. http://dx.doi.org/10.2165/00128415-199605860-00030.

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&NA;. "Gold." Reactions Weekly &NA;, no. 427 (November 1992): 8. http://dx.doi.org/10.2165/00128415-199204270-00026.

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&NA;. "Gold." Reactions Weekly &NA;, no. 456 (June 1993): 8. http://dx.doi.org/10.2165/00128415-199304560-00043.

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&NA;. "Gold." Reactions Weekly &NA;, no. 470 (September 1993): 8. http://dx.doi.org/10.2165/00128415-199304700-00043.

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&NA;. "Gold." Reactions Weekly &NA;, no. 474 (October 1993): 6. http://dx.doi.org/10.2165/00128415-199304740-00029.

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&NA;. "Gold." Reactions Weekly &NA;, no. 666 (August 1997): 8. http://dx.doi.org/10.2165/00128415-199706660-00021.

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37

&NA;. "Gold." Reactions Weekly &NA;, no. 367 (September 1991): 8. http://dx.doi.org/10.2165/00128415-199103670-00037.

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&NA;. "Gold." Reactions Weekly &NA;, no. 371 (October 1991): 8. http://dx.doi.org/10.2165/00128415-199103710-00033.

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&NA;. "Gold." Reactions Weekly &NA;, no. 373 (October 1991): 8. http://dx.doi.org/10.2165/00128415-199103730-00037.

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&NA;. "Gold." Reactions Weekly &NA;, no. 381 (December 1991): 6. http://dx.doi.org/10.2165/00128415-199103810-00024.

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&NA;. "Gold." Reactions Weekly &NA;, no. 402 (May 1992): 10. http://dx.doi.org/10.2165/00128415-199204020-00038.

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42

&NA;. "Gold." Reactions Weekly &NA;, no. 1101 (May 2006): 10–11. http://dx.doi.org/10.2165/00128415-200611010-00026.

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43

&NA;. "Gold." Reactions Weekly &NA;, no. 892 (March 2002): 8. http://dx.doi.org/10.2165/00128415-200208920-00023.

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&NA;. "Gold." Reactions Weekly &NA;, no. 298 (April 1990): 5. http://dx.doi.org/10.2165/00128415-199002980-00021.

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&NA;. "Gold." Reactions Weekly &NA;, no. 307 (June 1990): 6. http://dx.doi.org/10.2165/00128415-199003070-00021.

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&NA;. "Gold." Reactions Weekly &NA;, no. 325 (November 1990): 8. http://dx.doi.org/10.2165/00128415-199003250-00033.

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&NA;. "Gold." Reactions Weekly &NA;, no. 332 (December 1990): 6. http://dx.doi.org/10.2165/00128415-199003320-00026.

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&NA;. "Gold." Reactions Weekly &NA;, no. 1032 (December 2004): 9. http://dx.doi.org/10.2165/00128415-200410320-00024.

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&NA;. "Gold." Reactions Weekly &NA;, no. 491 (March 1994): 7. http://dx.doi.org/10.2165/00128415-199404910-00025.

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&NA;. "Gold." Reactions Weekly &NA;, no. 493 (March 1994): 8. http://dx.doi.org/10.2165/00128415-199404930-00028.

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