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Showing 3,001 - 3,020 results of 3,155 for search '((((gates OR rates) OR rates) OR rates) OR gate) and patterns', query time: 0.14s Refine Results
  1. 3001

    Clinical features of post-COVID-19 period. Results of the international register “Dynamic analysis of comorbidities in SARS-CoV-2 survivors (AKTIV SARS-CoV-2)”. Data from 6-month f... by G. P. Arutyunov, E. I. Tarlovskaya, A. G. Arutyunov, Yu. N. Belenkov, A. O. Konradi, Yu. M. Lopatin, A. P. Rebrov, S. N. Tereshchenko, A. I. Chesnikova, H. G. Hayrapetyan, A. P. Babin, I. G. Bakulin, N. V. Bakulina, L. A. Balykova, A. S. Blagonravova, M. V. Boldina, A. R. Vaisberg, A. S. Galyavich, V. V. Gomonova, N. Yu. Grigorieva, I. V. Gubareva, I. V. Demko, A. V. Evzerikhina, A. V. Zharkov, U. K. Kamilova, Z. F. Kim, T. Yu. Kuznetsova, N. V. Lareva, E. V. Makarova, S. V. Malchikova, S. V. Nedogoda, M. M. Petrova, I. G. Pochinka, K. V. Protasov, D. N. Protsenko, D. Yu. Ruzanau, S. A. Sayganov, A. Sh. Sarybaev, N. M. Selezneva, A. B. Sugraliev, I. V. Fomin, O. V. Khlynova, O. Yu. Chizhova, I. I. Shaposhnik, D. A. Shchukarev, A. K. Abdrahmanova, S. A. Avetisian, H. G. Avoyan, K. K. Azarian, G. T. Aimakhanova, D. A. Ayipova, A. Ch. Akunov, M. K. Alieva, A. V. Aparkina, O. R. Aruslanova, E. Yu. Ashina, O. Yu. Badina, O. Yu. Barisheva, T. I. Batluk, A. S. Batchayeva, R. A. Bashkinov, A. M. Bitieva, I. U. Bikhteyev, N. A. Borodulina, M. V. Bragin, A. M. Budu, G. A. Bykova, K. R. Vagapova, D. D. Varlamova, N. N. Vezikova, E. A. Verbitskaya, O. E. Vilkova, E. A. Vinnikova, V. V. Vustina, E. A. Gаlova, V. V. Genkel, E. I. Gorshenina, E. V. Grigorieva, E. Yu. Gubareva, G. M. Dabylova, I. A. Demchenko, O. Yu. Dolgikh, M. Y. Duyshobayev, D. S. Evdokimov, K. E. Egorova, A. N. Ermilova, A. E. Zheldybayeva, N. V. Zarechnova, Yu. D. Zimina, S. Yu. Ivanova, E. Yu. Ivanchenko, M. V. Ilina, M. V. Kazakovtseva, E. V. Kazymova, Yu. S. Kalinina, N. A. Kamardina, A. M. Karachenova, I. A. Karetnikov, N. A. Karoli, M. K. Karsiev, D. S. Кaskaeva, K. F. Kasymova, Zh. B. Kerimbekova, A. Sh. Kerimova, E. S. Kim, N. V. Kiseleva, D. A. Klimenko, A. V. Klimova, O. V. Kovalishena, E. V. Kolmakova, T. P. Kolchinskaya, M. I. Kolyadich, O. V. Kondriakova, M. P. Konoval, D. Yu. Konstantinov, E. A. Konstantinova, V. A. Kordukova, E. V. Koroleva, A. Yu. Kraposhina, T. V. Kriukova, A. S. Kuznetsova, T. Yu. Kuzmina, K. V. Kuzmichev, Ch. K. Kulchoroeva, T. V. Kuprina, I. M. Kouranova, L. V. Kurenkova, N. Yu. Kurchugina, N. A. Kushubakova, V. I. Levankova, N. A. Lyubavina, N. A. Magdeyeva, K. V. Mazalov, V. I. Majseenko, A. S. Makarova, A. M. Maripov, A. A. Marusina, E. S. Melnikov, N. B. Moiseenko, F. N. Muradova, R. G. Muradyan, Sh. N. Musaelian, A. O. Myshak, E. S. Nekaeva, N. M. Nikitina, B. B. Ogurlieva, A. A. Odegova, Yu. M. Omarova, N. A. Omurzakova, Sh. O. Ospanova, E. V. Pahomova, L. D. Petrov, S. S. Plastinina, V. A. Pogrebetskaya, D. V. Polyakov, D. S. Polyakov, E. V. Ponomarenko, L. L. Popova, N. A. Prokofeva, I. A. Pudova, N. A. Rakov, A. N. Rakhimov, N. A. Rozanova, S. Serikbolkyzy, A. A. Simonov, V. V. Skachkova, D. V. Soloveva, I. A. Soloveva, I. M. Sukhomlinova, A. G. Sushilova, D. R. Tagayeva, Yu. V. Titojkina, E. P. Tikhonova, D. S. Tokmin, A. A. Tolmacheva, M. S. Torgunakova, K. V. Trenogina, N. A. Trostianetckaia, D. A. Trofimov, M. A. Trubnikova, A. A. Tulichev, A. T. Tursunova, N. D. Ulanova, O. V. Fatenkov, O. V. Fedorishina, T. S. Fil, I. Yu. Fomina, I. S. Fominova, I. A. Frolova, S. M. Tsvinger, V. V. Tsoma, M. B. Cholponbaeva, T. I. Chudinovskikh, O. A. Shevchenko, T. V. Sheshina, E. A. Shishkina, K. Yu. Shishkov, S. Yu. Sherbakov, E. A. Yausheva

    Published 2021-11-01
    “…In the pattern of death causes in the post-hospitalization period, following cardiovascular causes prevailed (31,8%): acute coronary syndrome, stroke, acute heart failure. …”
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    Article
  2. 3002

    <i>Helicobacter pylori</i> Persistence in Patients with Peptic Ulcer Disease and Chronic Gastritis in the Treatment with Antibiotics and Acid-Suppressive Agents by E. V. Golubkina

    Published 2023-09-01
    “…In the latter patients, the differences between the background bacteriological pattern and the pattern observed after 1.5–2 months had a high degree of significance; in these follow-up periods, in contrast to the control immediately after therapy, the number of eradications increased and the number of cagA-containing strains decreased due to the change of strains. …”
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    Article
  3. 3003

    PH INDICATORS AND MICROCRYSTALIZATION OF ORAL LIQUID IN ADOLESCENTS OF 15-18 YEARS WHO STUDY IN DIFFERENT EDUCATIONAL INSTITUTIONS by L.F. Kaskova, V.M. Batig, I.I. Drozda, O.V. Mytchenok

    Published 2021-06-01
    “…In college students, the micro crystallization rate corresponded to a low level of 15 and 16 years old. …”
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    Article
  4. 3004
  5. 3005

    MIR155HG promotes metastasis and cisplatin resistance of cervical cancer cells by regulating the miR-409-3p and ZEB1 axis by Yanxia Chen, Jing Wang, Youqiang Heng, Yu Guo, Ka Ding, Cailing Ma

    Published 2025-07-01
    “…We analyzed the expression pattern of MIR155HG in CC patients using public database TCGA, and overexpressed its expression in HeLa cells to explore its cellular functions. …”
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    Article
  6. 3006
  7. 3007

    Nonlinearity Mitigation Based on Modulus Pruned Look-Up Table for Multi-Bit Delta-Sigma 32-CAP Modulation in Underwater Visible Light Communication System by Wenqing Niu, Hui Chen, Junwen Zhang, Yinaer Ha, Peng Zou, Nan Chi

    Published 2021-01-01
    “…At the data rate of about 1.69Gbp&#x002F;s, utilizing MP-WLUT pre-distorted DSM-CAP an improvement of 1.44 dB Q-factor is realized compared with normal CAP without WLUT, and the size of MP-WLUT can be reduced to 62.5&#x0025; of the full-size WLUT.…”
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    Article
  8. 3008

    Spatial attention-guided pre-trained networks for accurate identification of crop diseases by Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, Azath Mubarakali, Abhishek Bhattacherjee, Addisu Frinjo Emma

    Published 2025-07-01
    “…The proposed approach achieved an accuracy of 99.89% and a recall rate of 99.87%, demonstrating its suitability for crop classification with minimal computational overhead. …”
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    Article
  9. 3009

    Investigation of the prevalence of polycystic ovary syndrome in Hamedan province in 2021 by Fatemeh Asadi, Zahra Mahdavi Fakher, Motahareh Masoomi, Salman Khazaie

    Published 2025-03-01
    “…Menstrual irregularity, infertility rate, mean serum testosterone level, the prevalence of hyperlipidemia, mean LDL, and total serum cholesterol were significantly higher in the PCOS group (P<0.05). …”
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    Article
  10. 3010

    Experimental investigation and modeling of heat and moisture transfer beneath asphalt pavements under rainfall conditions by Weihang Hua, Long Jin, Miaomiao Bai, Huimei Zhang

    Published 2025-09-01
    “…A nonlinear “decrease–increase” pattern was observed at 12 cm due to the capillary barrier effect. …”
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    Article
  11. 3011

    Compound Action Potential of Isolated Spinal Cord: A Biophysical Analysis to Address Activity of Individual Fibers Following Contusion Injury by I. Rad, K. Khodayari, S. Kouhzaei, H. Mobasheri

    Published 2013-06-01
    “…In order to identify a representative pattern of CAP applicable in SCI, the recoded CAPs were evaluated, averaged and fitted using Matlab curve fitting toolbox. …”
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    Article
  12. 3012

    Population Analysis of Bali Sardinella (Sardinella lemuru, Bleeker 1853) Landed in PPI Kedonganan using Length-Weight Data and Digital Analysis (ImageJ) by Ni Putu Dian Pertiwi, Ida Ayu Purnama Bestari, M. Danie Al Malik, Mark Anthony Phuong

    Published 2023-03-01
    “…Population condition analysis showed that S. lemuru population is in isometric condition (b=3); with indication of declining in the length growth pattern compared with previous research (L∞= 20.75 cm with K= 1.1); the mortality estimation showed that fishing mortality (F=1.27) was lower than natural mortality (M=2.22), with the survival rate higher on smaller size fish. …”
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    Article
  13. 3013

    The influence of the molecular weight of hyaluronic acid on the mangiferin release kinetics from the polymer matrix by P. P. Snetkov, R. O. Shaikenov, V. I. Klimshina, Yu. E. Generalova, S. N. Morozkina

    Published 2025-03-01
    “…Mangiferin release kinetic from a polymer matrix based on hyaluronic acid has a release sigmoidal pattern. The release mechanism has a complex nature of the Super Case II transport type, with the exception of a sample with a low content of mangiferin and hyaluronic acid with molecular weight equal to 1.3 MDa, for which an abnormal release pattern is detected (non-Fickian diffusion), due to the hydrophilic nature of hyaluronic acid, the rapid swelling of the polymer matrix, as well as a significant leading in the diffusion of mangiferin compared to the relaxation rate of the polymer. …”
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    Article
  14. 3014

    Beta-adrenergic reactivity of erythrocyte membranes in adolescents with supraventricular and ventricular arrhythmias before and after radiofrequency ablation by Т. Yu. Rebrova, Yu. E. Perevoznikova, E. F. Muslimova, L. I. Svintsova, S. A. Afanasiev, O. Yu. Dzhaffarova

    Published 2024-10-01
    “…The study included 49 adolescents aged 11–17 years, of which 15 had Wolff – Parkinson – White pattern (WPW), 13 – WPW syndrome, 10 – atrioventricular nodal reentry tachycardia (AVNRT), and 11 – ventricular arrhythmia (VA). …”
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    Article
  15. 3015

    A Robust Framework for Bamboo Forest AGB Estimation by Integrating Geostatistical Prediction and Ensemble Learning by Lianjin Fu, Qingtai Shu, Cuifen Xia, Zeyu Li, Hailing He, Zhengying Li, Shaoyang Ma, Chaoguan Qin, Rong Wei, Qin Xiang, Xiao Zhang, Yiran Zhang, Huashi Cai

    Published 2025-08-01
    “…The mean AGB density was 71.8 ± 21.9 Mg ha<sup>−1</sup>, with its spatial pattern influenced by elevation and human settlements. …”
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    Article
  16. 3016

    Investigation of farmers’ awareness of water conservation and its determinants in arid regions: A case study of the Turpan-Hami Basin by Dongping Guo, Abdugheni Abliz, Yue Kong, Jialin Li, Xianhe Liu, Buasi Nurahmat

    Published 2025-08-01
    “…The results revealed that: (1) From 2005 to 2024, the water conservation rate in the Turpan–Hami Basin showed a fluctuating upward trend, surpassing 80 %, yet significant regional disparities in farmers’ water conservation awareness remained; (2) Areas with low levels of awareness were spatially associated with regions of low satisfaction with conservation outcomes and high levels of farmland investment. …”
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    Article
  17. 3017

    Direct scribing of metal microgratings using sawtoothed cemented carbide tools with Johnson-Cook model-based plastic deformation simulation by Minwook Kim, Dae Bo Sim, Yong Tae Kim, Bo Hyun Kim, Jong G. Ok

    Published 2025-10-01
    “…We demonstrate the DISCRIM (DIrect SCRIbing of Metals) process for the continuous and scalable precision machining of metal micrograting structures, which utilizes direct mechanical scribing of a sawtooth–patterned cemented carbide tool edge over a metal workpiece. …”
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    Article
  18. 3018

    Prediction of litchi flower induction in South China region based on the CMIP6 climate model by HOU Wei, ZHANG Liuhong, ZHANG Lei, LUAN Lan, ZHANG Mingjie, WANG Xiuzhen, ZHANG Hui

    Published 2025-08-01
    “…We then constructed a florescence climate index model, correlating it with the litchi flower formation rate for both early-maturing and medium-late maturing varieties. …”
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  19. 3019

    Prediction of Urban Construction Land Carbon Effects (UCLCE) Using BP Neural Network Model: A Case Study of Changxing, Zhejiang Province, China by Qinghua Liao, Xiaoping Zhang, Zixuan Cui, Xunxi Yin

    Published 2025-07-01
    “…The results demonstrate that the BP neural network model effectively predicts the different types of UCLCE, with an average error rate of 30.10%. (1) The total effect and intensity effect exhibit different trends in the study area, and a carbon effect table for different types of UCL is established. (2) The spatial distribution characteristics of UCLCE reveal a distinct reverse-L pattern (“┙”-shaped layout) with positive spatial correlation (Moran’s I = 0.11, <i>p</i> < 0.001). (3) The model’s core practical value lies in enabling forward-looking assessment of carbon effects in urban planning schemes and precise quantification of emissions reduction benefits. …”
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  20. 3020

    Discrete Optimization of Software-Controlled Modes of Heat Treatment of Concrete Products in Heat-Technological Facilities by A. M. Niyakovskii, V. N. Romaniuk, Yu. V. Yatskevich, A. N. Chichko

    Published 2019-06-01
    “…In the article the technique of an assessment of modes of operation of the heat engineering equipment used for heat treatment of concrete products in the conditions of programcontrolled heat supply according to the pattern of “heating – isothermal influence – cooling” has been developed. …”
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    Article