Showing 2,381 - 2,400 results of 4,968 for search 'TQG~', query time: 0.76s Refine Results
  1. 2381

    Locally activated semisynthetic fluorescent biosensors for imaging cellular biochemistry by Coïs, Justine, Dumat, Blaise

    Published 2025-01-01
    “…This minireview focuses on the latter class of hybrid sensors and provides an outlook on the different small molecular probe design strategies and self-labeling protein tag combinations (mostly SNAP-tag and HaloTag) for their construction. …”
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  2. 2382

    Different Spectrophotometric Methods for Simultaneous Determination of Trelagliptin and Its Acid Degradation Product by Shereen Mowaka, Bassam M. Ayoub, Mostafa A. Hassan, Wafaa A. Zaghary

    Published 2018-01-01
    “…Using Spectra Manager II and Minitab v.14 software, the absorbance at 274 nm–260.4 nm, amplitudes at 260.4 nm–274.0 nm, and mean-centered values at 287.6 nm–257.2 nm were measured against methanol as a blank for TRG and TAD, respectively. Linearity and the other validation parameters were acceptable at concentration ranges of 5–50 μg/mL and 2.5–25 μg/mL for TRG and TAD, respectively. …”
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  3. 2383

    Value of the systemic immunoinflammatory index, nutritional risk index, and triglyceride-glucose index in predicting the condition and prognosis of patients with hypertriglyceridem... by Yuan Zhen Wang, Ya Ling Yun, Ting Ye, Wen Tun Yao, Yu Feng Guo, Li Ya Huang

    Published 2025-01-01
    “…The ROC curve analysis showed that the AUC value of the combined SII, NRI, and TyG index for predicting SAP occurrence was 0.705 (95%CI:0.632 ~ 0.778).ConclusionThe SII, NRI, and TyG index are related to the severity of HTGAP, and a combination of the three can better predict the occurrence of SAP.…”
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  4. 2384

    Assessment of Risk Factors for Fractures in Patients with Type 2 Diabetes over 60 Years Old: A Cross-Sectional Study from Northeast China by Yan Guo, Yingfang Wang, Feng Chen, Jiabei Wang, Difei Wang

    Published 2020-01-01
    “…Patients with T2DM have a higher risk for fractures even when they have sufficient BMD and a short TUG time. TUG and BMD underestimated the risk for fractures in the T2DM population.…”
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  5. 2385
  6. 2386

    The Difference in Translaminar Pressure Gradient and Neuroretinal Rim Area in Glaucoma and Healthy Subjects by Lina Siaudvytyte, Ingrida Januleviciene, Arminas Ragauskas, Laimonas Bartusis, Indre Meiliuniene, Brent Siesky, Alon Harris

    Published 2014-01-01
    “…The difference between TPG for healthy (5.4(7.7) mmHg) and glaucomatous eyes (NTG 6.3(3.1) mmHg, HTG 15.7(7.7) mmHg) was statistically significant (P < 0.001). …”
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  7. 2387
  8. 2388
  9. 2389
  10. 2390
  11. 2391
  12. 2392
  13. 2393
  14. 2394
  15. 2395

    Effect of Embroidery Style on the Bandwidth of Textronic RFID UHF Transponder Antenna by Magdalena Nizioł, Piotr Jankowski-Mihułowicz, Mariusz Węglarski

    Published 2025-01-01
    “…The authors prepared samples of embroidered RFID tag antennas for the UHF band using various types of embroidery. …”
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  16. 2396

    The Invitation to Tender as an Unsuitable Procedure for Awarding Mobile Radio Frequencies by Stefan Bulowski, Jürgen Kühling, Oliver Zierke

    Published 2022-09-01
    “…The TKG provides for two possible award procedures for frequencies in the event of scarcity. …”
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  17. 2397

    Outcomes of endometrial cancer prevention strategies in patients with Lynch syndrome: a nationwide cohort study in the NetherlandsResearch in context by Ellis L. Eikenboom, Lotte van Leeuwen, Floris Groenendijk, Jorien M. Woolderink, Anne M. Van Altena, Monique E. Van Leerdam, Manon C.W. Spaander, Helena C. van Doorn, Anja Wagner, M.C. Breijer, A.S. Tjalsma, F. Vork, H.P.M. Smedts, J. van der Velden, M.M.A. Brood-van Zanten, J.E. van de Riet, A.L.M. Oei, H. Kessel, P.M.L.H. Vencken, M.P.L.M. Snijders, R.H.M. Hermans, A. Bouman, H.W. Ünsalan, A.M.G. van de Swaluw, G.M. Plaisier, H.C. van Doorn, K. van den Berg, W. Hofhuis, Y.A.J.M. Dabekausen, P.R. Kolk, H.T.C. Nagel, A.M.L.D. van Haaften-de Jong, A.C. van Hof, M. van den Hende, J. Kaijser, H.H. de Haan, R.A. Smit, M.W.G. Moonen-Delarue, J.J. Beltman, J.E. Martens, R. Kruitwagen, J.M. van der Ploeg, J.M. Woolderink, S.F.P.J. Coppus, M.J. Duk, M.J.A. Apperloo, C.M. Koopmans, C.C.M. Buis, H. van Meurs, E.C. Dul, B.B.J. Hermsen, A.M. van Altena, A. Baalbergen, A.A. van Ginkel-Terng, M. Baas, P. van Greunen, C.M.W.H. Smeets, H. Knipscheer, J.E. Martens, C. Schmeink, M.D. van der Laan, E.J.M. van Es, J.E.W. van Dijk, F.M.F. Rosier-van Dunné, H. Nijman, C.G. Gerestein, D. Boskamp, E.C.A.H. Scheers, M. Verbruggen, L.R. Bartelink, C.B.M. Kruijdenberg, J.M. Briët, B. Visschers, M. Engelen

    Published 2025-01-01
    “…Methods: For this retrospective cohort study, female Lynch syndrome carriers, prospectively registered in the Dutch Lynch syndrome database (StOET), were included up to February 28th 2022. Carriers were linked to the Dutch national pathology (PALGA) database. …”
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  18. 2398

    Evaluation of the effects of short-term PM2.5 exposure on triglyceride-glucose metrics in a population in eastern China by Zhenpeng Guo, Chenchen Yang, Qiang Zhang, Xinling Shi, Xiaona Li, Qun Zhang, Jianming Wang

    Published 2025-01-01
    “…Results In the overall population, at lags of 0–7 and 0–14 days in the single-pollutant model, it was observed that a 10 µg/m3 rise in PM2.5 corresponded to a 0.0021 elevation in TyG levels. …”
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  19. 2399

    Association Between Dietary Inflammatory Index and Triglyceride Glucose-Body Mass Index with Iron Deficiency in Reproductive Age Women: Evidence from NHANES 2005-2018 by Ding J, Xu Z, Liang R, Xie S

    Published 2025-02-01
    “…ID was identified using serum ferritin and transferrin receptor (TfR). The association between DII, TyG-BMI and ID was assessed using weighted logistic regression, linear regression and restricted cubic spline (RCS) models, with receiver operating characteristic (ROC) curve analysis for diagnostic power. …”
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  20. 2400

    Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach by Mohamed Khalid AlOmar, Mohammed Majeed Hameed, Nadhir Al-Ansari, Mohammed Abdulhakim AlSaadi

    Published 2020-01-01
    “…Herein, two machine learning approaches called support vector regression (SVR) and extreme learning machine (ELM) have been applied to predict the saturated TDG% at USGS 14150000 and USGS 14181500 stations which are located in the USA. …”
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