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Journal articles on the topic 'Regulators (Mathematics)'

Author: Grafiati

Published: 4 June 2021

Last updated: 28 July 2025

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1

Kholiavko, Nataliia, and Maksym Dubyna. "CONCEPTUAL FRAMEWORK FOR THE USE OF REGTECH TECHNOLOGIES IN REGULATING THEDIGITALIZATION OF FINANCIAL INSTITUTIONS." Problems and prospects of economics and management, no. 3(35) (2023): 152–62. http://dx.doi.org/10.25140/2411-5215-2023-3(35)-152-162.

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Digitization of the financial services market leads to increased interest of the regulator in the use of innovative digital technologies (cloud computing, blockchain, big data, artificial intelligence, ma-chine learning, etc.) in its activities. RegTech (regulatory technologies) offers significant advantages to organizations in terms of optimizing compliance processes and managing regulatory risks, helps moni-tor and timely take into account changes in current legislation. The main prerequisites for the emergence and development of such technologies are the constant complication of the regulat

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2

Hoskins, Jason W., Charles C. Chung, Aidan O’Brien, et al. "Inferred expression regulator activities suggest genes mediating cardiometabolic genetic signals." PLOS Computational Biology 17, no. 11 (2021): e1009563. http://dx.doi.org/10.1371/journal.pcbi.1009563.

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Expression QTL (eQTL) analyses have suggested many genes mediating genome-wide association study (GWAS) signals but most GWAS signals still lack compelling explanatory genes. We have leveraged an adipose-specific gene regulatory network to infer expression regulator activities and phenotypic master regulators (MRs), which were used to detect activity QTLs (aQTLs) at cardiometabolic trait GWAS loci. Regulator activities were inferred with the VIPER algorithm that integrates enrichment of expected expression changes among a regulator’s target genes with confidence in their regulator-target netwo

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3

Besser, Amnon. "Syntomic regulators andp-adic integration I: Rigid syntomic regulators." Israel Journal of Mathematics 120, no. 2 (2000): 291–334. http://dx.doi.org/10.1007/bf02834843.

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4

Xie, Gui-Yan, Mengxuan Xia, Ya-Ru Miao, Mei Luo, Qiong Zhang, and An-Yuan Guo. "FFLtool: a web server for transcription factor and miRNA feed forward loop analysis in human." Bioinformatics 36, no. 8 (2019): 2605–7. http://dx.doi.org/10.1093/bioinformatics/btz929.

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Abstract Summary Transcription factors (TFs) and microRNAs (miRNAs) are two kinds of important regulators for transcriptional and post-transcriptional regulations. Understanding cross-talks between the two regulators and their targets is critical to reveal complex molecular regulatory mechanisms. Here, we developed FFLtool, a web server for detecting potential feed forward loop (FFL) of TF-miRNA-target regulation in human. In FFLtool, we integrated comprehensive regulations of TF-target and miRNA-target, and developed two functional modules: (i) The ‘FFL Analysis’ module can detect potential F

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5

Friedman, E. "Regulators and total positivity." Publicacions Matemàtiques EXTRA (June 1, 2007): 119–30. http://dx.doi.org/10.5565/publmat_pjtn05_05.

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6

Goncharov, A. B. "Chow polylogarithms and regulators." Mathematical Research Letters 2, no. 1 (1995): 95–112. http://dx.doi.org/10.4310/mrl.1995.v2.n1.a9.

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7

Ritter, Jürgen, and Alfred Weiss. "Regulators and Galois Stability." Mathematische Nachrichten 158, no. 1 (2006): 27–41. http://dx.doi.org/10.1002/mana.19921580103.

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8

Chagas, Vinicius S., Clarice S. Groeneveld, Kelin G. Oliveira, et al. "RTNduals: an R/Bioconductor package for analysis of co-regulation and inference of dual regulons." Bioinformatics 35, no. 24 (2019): 5357–58. http://dx.doi.org/10.1093/bioinformatics/btz534.

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Abstract Motivation Transcription factors (TFs) are key regulators of gene expression, and can activate or repress multiple target genes, forming regulatory units, or regulons. Understanding downstream effects of these regulators includes evaluating how TFs cooperate or compete within regulatory networks. Here we present RTNduals, an R/Bioconductor package that implements a general method for analyzing pairs of regulons. Results RTNduals identifies a dual regulon when the number of targets shared between a pair of regulators is statistically significant. The package extends the RTN (Reconstruc

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9

Uchida, Kôji. "On Silverman's estimate of regulators." Tohoku Mathematical Journal 46, no. 2 (1994): 141–45. http://dx.doi.org/10.2748/tmj/1178225755.

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10

Friedman, Eduardo, and Nils-Peter Skoruppa. "Relative regulators of number fields." Inventiones Mathematicae 135, no. 1 (1999): 115–44. http://dx.doi.org/10.1007/s002220050281.

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11

Goncharov, A. B. "Polylogarithms, regulators, and Arakelov motivic complexes." Journal of the American Mathematical Society 18, no. 1 (2004): 1–60. http://dx.doi.org/10.1090/s0894-0347-04-00472-2.

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12

Bollmann, Stephanie, Dengpan Bu, Jiaqi Wang, and Massimo Bionaz. "Unmasking Upstream Gene Expression Regulators with miRNA-corrected mRNA Data." Bioinformatics and Biology Insights 9S4 (January 2015): BBI.S29332. http://dx.doi.org/10.4137/bbi.s29332.

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Expressed micro-RNA (miRNA) affects messenger RNA (mRNA) abundance, hindering the accuracy of upstream regulator analysis. Our objective was to provide an algorithm to correct such bias. Large mRNA and miRNA analyses were performed on RNA extracted from bovine liver and mammary tissue. Using four levels of target scores from TargetScan (all miRNA:mRNA target gene pairs or only the top 25%, 50%, or 75%) Using four levels of target scores from TargetScan (all miRNA:mRNA target gene pairs or only the top 25%, 50%, or 75%) and four levels of the magnitude of miRNA effect (ME) on mRNA expression (3

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13

Deng, Xiaochuan, and Fei Sun. "Regulator-Based Risk Statistics with Scenario Analysis." Mathematical Problems in Engineering 2021 (March 31, 2021): 1–5. http://dx.doi.org/10.1155/2021/3056510.

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When there are potential risks in the progress of the engineering project, regulators pay more attentions to losses rather than gains. In this paper, we design a new class of risk statistics for engineering, named regulator-based risk statistics. Considering the properties of regulator-based risk statistics, we are able to derive the dual representations for them. At last, the regulator-based version is investigated.

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14

Benbouhenni, Habib, and Nicu Bizon. "Improved Rotor Flux and Torque Control Based on the Third-Order Sliding Mode Scheme Applied to the Asynchronous Generator for the Single-Rotor Wind Turbine." Mathematics 9, no. 18 (2021): 2297. http://dx.doi.org/10.3390/math9182297.

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In this work, a third-order sliding mode controller-based direct flux and torque control (DFTC-TOSMC) for an asynchronous generator (AG) based single-rotor wind turbine (SRWT) is proposed. The traditional direct flux and torque control (DFTC) technology or direct torque control (DTC) with integral proportional (PI) regulator (DFTC-PI) has been widely used in asynchronous generators in recent years due to its higher efficiency compared with the traditional DFTC switching strategy. At the same time, one of its main disadvantages is the significant ripples of magnetic flux and torque that are pro

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15

LEE, WANG-HEE, and MARTIN R. OKOS. "MODEL-BASED ANALYSIS OF IGF-1 EFFECT ON OSTEOBLAST AND OSTEOCLAST REGULATION IN BONE TURNOVER." Journal of Biological Systems 24, no. 01 (2016): 63–89. http://dx.doi.org/10.1142/s0218339016500042.

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The main determinant of bone Ca accretion is a bimolecular regulatory network on osteoblast (OB) and osteoclast (OC). Even though IGF-1 is known as an important regulator in bone cell cycle, little has been done to model IGF-1 action in bone cell regulation. Thus, the objective is to develop a mathematical model that depicts the regulatory action of IGF-1 onto the OB and OC interaction, and to evaluate adolescent and adult bone Ca accretion in response to differences in IGF-1 levels. As a result, a dynamic model of OB and OC with two main regulatory systems, i.e., Receptor Activator for Nuclea

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16

Condon, Marissa, and Brendan Hayes. "Control of limit cycles in buck converters." COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering 33, no. 4 (2014): 1448–61. http://dx.doi.org/10.1108/compel-09-2013-0293.

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Purpose – The purpose of this paper is to investigate limit cycles in digitally Proportional, Integral and Derivative (PID) controlled buck regulators. Filtering is examined as a means of removing the limit cycles in digitally controlled buck regulators. Design/methodology/approach – The paper explains why limit cycles occur in a digitally PID controlled buck converter. It then proceeds to propose two filters for their elimination. Results indicate the effectiveness of each of the filters. Findings – The paper gives a mathematical analysis of the occurrence of limit cycles in digitally control

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17

Li, Pengping, Xu Hua, Zhen Zhang, Jie Li, and Jin Wang. "Characterization of regulatory features of housekeeping and tissue-specific regulators within tissue regulatory networks." BMC Systems Biology 7, no. 1 (2013): 112. http://dx.doi.org/10.1186/1752-0509-7-112.

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18

Ji, Xiangrui, and Jie Lin. "Implications of differential size-scaling of cell-cycle regulators on cell size homeostasis." PLOS Computational Biology 19, no. 7 (2023): e1011336. http://dx.doi.org/10.1371/journal.pcbi.1011336.

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Accurate timing of division and size homeostasis is crucial for cells. A potential mechanism for cells to decide the timing of division is the differential scaling of regulatory protein copy numbers with cell size. However, it remains unclear whether such a mechanism can lead to robust growth and division, and how the scaling behaviors of regulatory proteins influence the cell size distribution. Here we study a mathematical model combining gene expression and cell growth, in which the cell-cycle activators scale superlinearly with cell size while the inhibitors scale sublinearly. The cell divi

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19

Costa, Antone, and Eduardo Friedman. "Ratios of regulators in extensions of number fields." Proceedings of the American Mathematical Society 119, no. 2 (1993): 381. http://dx.doi.org/10.1090/s0002-9939-1993-1152273-4.

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20

Bertolini, Massimo, and Henri Darmon. "Derived heights and generalized Mazur-Tate regulators." Duke Mathematical Journal 76, no. 1 (1994): 75–111. http://dx.doi.org/10.1215/s0012-7094-94-07604-7.

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21

Niziol, Wieslawa. "On the image of p -adic regulators." Inventiones Mathematicae 127, no. 2 (1997): 375–400. http://dx.doi.org/10.1007/s002220050125.

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22

Tkalich, Y. I., O. I. Tsyliuryk, A. V. Kokhan, H. O. Yevtushenko, and P. H. Gonzalez. "Efficacy of growth regulators for maize fields." Agrology 6, no. 4 (2023): 97–103. http://dx.doi.org/10.32819/021116.

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At the current stage of agricultural development, it is paramount to introduce advanced technologies for maize cultivation. Special attention is required for the use of modern growth regulators in order to ensure stable increase in grain production. To protect maize from stress factors emerging in unfavorable meteorological conditions of the steppe zone (such as drought, high temperatures, negative impacts of pesticides, diseases, etc.), increasing attention is given to the application such physiologically active compounds as plant-growth regulators (PGRs). The experimental studies were carrie

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23

Burdziak, Cassandra, Chujun Julia Zhao, Doron Haviv, Direna Alonso-Curbelo, Scott W. Lowe, and Dana Pe’er. "scKINETICS: inference of regulatory velocity with single-cell transcriptomics data." Bioinformatics 39, Supplement_1 (2023): i394—i403. http://dx.doi.org/10.1093/bioinformatics/btad267.

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Abstract Motivation Transcriptional dynamics are governed by the action of regulatory proteins and are fundamental to systems ranging from normal development to disease. RNA velocity methods for tracking phenotypic dynamics ignore information on the regulatory drivers of gene expression variability through time. Results We introduce scKINETICS (Key regulatory Interaction NETwork for Inferring Cell Speed), a dynamical model of gene expression change which is fit with the simultaneous learning of per-cell transcriptional velocities and a governing gene regulatory network. Fitting is accomplished

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24

Wang, Yumeng, Xihua Zhou, Gang Bai, and Xianlin Li. "Analysis of the Construction of an Enterprise Emergency Management System under Government Supervision: The View of Evolutionary Game Theory." Mathematical Problems in Engineering 2022 (December 3, 2022): 1–20. http://dx.doi.org/10.1155/2022/4781158.

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The establishment of an emergency management system has obvious complexity, and the establishment of an enterprise’s emergency management system is influenced by external factors such as assessment agencies and regulatory departments as well as by the internal influence of various factors within the enterprise itself, such as profits and personnel quality. In order to study the impact of different factors on the construction of emergency management systems of enterprises under the current regulatory environment and under the existing reward-penalty mechanism, this study introduces factors such

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25

Lai, T. L., and C. Z. Wei. "Asymptotically Efficient Self-Tuning Regulators." SIAM Journal on Control and Optimization 25, no. 2 (1987): 466–81. http://dx.doi.org/10.1137/0325026.

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26

Sreekantan, Ramesh. "K1 of products of Drinfeld modular curves and special values of L-functions." Compositio Mathematica 146, no. 4 (2010): 886–918. http://dx.doi.org/10.1112/s0010437x10004720.

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AbstractBeilinson [Higher regulators and values of L-functions, Itogi Nauki i Tekhniki Seriya Sovremennye Problemy Matematiki Noveishie Dostizheniya (Current problems in mathematics), vol. 24 (Vserossiisky Institut Nauchnoi i Tekhnicheskoi Informatsii, Moscow, 1984), 181–238] obtained a formula relating the special value of the L-function of H2 of a product of modular curves to the regulator of an element of a motivic cohomology group, thus providing evidence for his general conjectures on special values of L-functions. In this paper we prove a similar formula for the L-function of the product

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27

Ru, Beibei, Jianlong Sun, Qingzheng Kang, Yin Tong, and Jiangwen Zhang. "A framework for identifying dysregulated chromatin regulators as master regulators in human cancer." Bioinformatics 35, no. 11 (2018): 1805–12. http://dx.doi.org/10.1093/bioinformatics/bty836.

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28

Beilinson, A. A. "Higher regulators and values of L-functions." Journal of Soviet Mathematics 30, no. 2 (1985): 2036–70. http://dx.doi.org/10.1007/bf02105861.

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29

Dubrovskii, I. I., V. L. Luk'yanov, and D. I. Dubrovskii. "Computer Solutions in Choosing Automatic Process Regulators." Measurement Techniques 47, no. 3 (2004): 300–303. http://dx.doi.org/10.1023/b:mete.0000029875.09300.22.

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30

Krasovskii, A. A., and A. M. Taras’ev. "Construction of nonlinear regulators in economic growth models." Proceedings of the Steklov Institute of Mathematics 268, S1 (2010): 143–54. http://dx.doi.org/10.1134/s0081543810050111.

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31

Dai, Liyi, and Chaozhu Wang. "Stable and structurally stable regulators for singular systems." Acta Mathematicae Applicatae Sinica 3, no. 2 (1987): 122–35. http://dx.doi.org/10.1007/bf02057586.

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32

Fouvry, Étienne, and Florent Jouve. "Size of regulators and consecutive square–free numbers." Mathematische Zeitschrift 273, no. 3-4 (2012): 869–82. http://dx.doi.org/10.1007/s00209-012-1035-7.

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33

Wang, Hua, and Guang Peng. "Mathematical Model of Dynamic Protein Interactions Regulating p53 Protein Stability for Tumor Suppression." Computational and Mathematical Methods in Medicine 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/358980.

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In the field of cancer biology, numerous genes or proteins form extremely complex regulatory network, which determines cancer cell fate and cancer cell survival. p53 is a major tumor suppressor that is lost in more than 50% of human cancers. It has been well known that a variety of proteins regulate its protein stability, which is essential for its tumor suppressive function. It remains elusive how we could understand and target p53 stabilization process through network analysis. In this paper we discuss the use of random walk and stationary distribution to measure the compound effect of a net

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34

Dong, Amy, and Xiaomin Bao. "GPSmatch: an R package for comparing Genomic-binding Profile Similarity among transcriptional regulators using customizable databases." Bioinformatics 38, no. 3 (2021): 853–55. http://dx.doi.org/10.1093/bioinformatics/btab728.

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Abstract Summary Eukaryotic gene expression requires coordination among hundreds of transcriptional regulators. To characterize a specific transcriptional regulator, identifying how it shares genomic-binding sites with other regulators can generate important insights into its action. As genomic data such as chromatin immunoprecipitation assays with sequencing (ChIP-Seq) are being continously generated from individual labs, there is a demand for timely integration and analysis of these new data. We have developed an R package, GPSmatch (Genomic-binding Profile Similarity match), for calculating

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35

Johnson, Diana. "What Are the Merits of Taking a Hybrid Regulatory Approach Toward the Enforcement of Corporate Financial Crime in the United Kingdom and United States of America?" Journal of White Collar and Corporate Crime 3, no. 1 (2021): 23–32. http://dx.doi.org/10.1177/2631309x211050013.

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This article focuses on the hybrid regulatory approaches used in both the USA and the UK for the enforcement of corporate financial crime. In particular, the article analyses the use of Deferred Prosecution Agreements, which typically impose a financial penalty and behavioral commitments on a corporate entity for a defined period of time in exchange for the deferral of a criminal prosecution. The article will examine the merits of the use of DPAs instead of the imposition of criminal penalties on a company. The article will also consider whether a hybrid use of competition law as well as, or i

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36

Et.al, Normaizatul Akma Saidi. "Financial Risk of Conventional and Islamic Banks: Does Institutional Quality Matter?" Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 3 (2021): 510–24. http://dx.doi.org/10.17762/turcomat.v12i3.757.

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Banks play a significant role in financing the economy and take on risky financial activities based on information and trust as they specialized companies with their own specificities. This study was propelled to unravel the determinants that affect financial risk (liquidity risk and credit risk) for conventional and Islamic banks. The bank-level data of conventional and Islamic banks in the regions of Middle East, Southeast Asia, and South Asia between 2006 and 2014 were collected from the Bankscope, which is a commercial database produced by the Bureau van Dijk. Thus, for conventional banks

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37

Mesquine, Fouad, Fernando Tadeo, and Abdellatif Benlamkadem. "Constrained regulator problem for linear uncertain systems: Control of a pH process." Mathematical Problems in Engineering 2006 (2006): 1–15. http://dx.doi.org/10.1155/mpe/2006/51874.

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The regulator problem for linear uncertain continuous-time systems having control constraints is considered. Necessary and sufficient conditions of positive invariance of polyhedral domains are extended to the case of continuous-time uncertain systems. Robust constrained regulators are then derived. An application to the control of pH in a stirred tank is then presented. First, the uncertainty in the pH process is evaluated from first-principle models, then the design of a robust constrained regulator is presented. Simulation results show that this control law is easy to implement and that rob

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38

Ghoniem, Gehan, M. Rabie, Fify Anees, and S. Gabr. "Review Article: Gut Microbiota as Biological Regulators for Human Health." Journal of Food and Dairy Sciences 13, no. 10 (2022): 149–57. http://dx.doi.org/10.21608/jfds.2022.145915.1063.

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39

Besser, Amnon. "Syntomic regulators andp-adic integration II:K 2 of curves." Israel Journal of Mathematics 120, no. 2 (2000): 335–59. http://dx.doi.org/10.1007/bf02834844.

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40

Singh, Monika, and Amit Kumar. "Insect growth regulators for insect pest control: A review." International Journal of Research in Agronomy 7, no. 3S (2024): 388–93. http://dx.doi.org/10.33545/2618060x.2024.v7.i3se.504.

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Amin, Viren, Didem Ağaç, Spencer D. Barnes, and Murat Can Çobanoğlu. "Accurate differential analysis of transcription factor activity from gene expression." Bioinformatics 35, no. 23 (2019): 5018–29. http://dx.doi.org/10.1093/bioinformatics/btz398.

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Abstract Motivation Activity of transcriptional regulators is crucial in elucidating the mechanism of phenotypes. However regulatory activity hypotheses are difficult to experimentally test. Therefore, we need accurate and reliable computational methods for regulator activity inference. There is extensive work in this area, however, current methods have difficulty with one or more of the following: resolving activity of TFs with overlapping regulons, reflecting known regulatory relationships, or flexible modeling of TF activity over the regulon. Results We present Effector and Perturbation Est

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42

Li, Xianglu, Zhaohua Zhong, Enguang Ma, and Xiaowei Wu. "Identification of miRNA Regulatory Networks and Candidate Markers for Fracture Healing in Mice." Computational and Mathematical Methods in Medicine 2021 (November 16, 2021): 1–13. http://dx.doi.org/10.1155/2021/2866475.

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Background. It is important to improve the understanding of the fracture healing process at the molecular levels, then to discover potential miRNA regulatory mechanisms and candidate markers. Methods. Expression profiles of mRNA and miRNA were obtained from the Gene Expression Omnibus database. We performed differential analysis, enrichment analysis, protein-protein interaction (PPI) network analysis. The miRNA-mRNA network analysis was also performed. Results. We identified 499 differentially expressed mRNAs (DEmRs) that were upregulated and 534 downregulated DEmRs during fracture healing. Th

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43

Podvalny, S. L., and E. M. Vasiljev. "Analytical Synthesis of Aggregated Regulators for Unmanned Aerial Vehicles." Journal of Mathematical Sciences 239, no. 2 (2019): 135–45. http://dx.doi.org/10.1007/s10958-019-04295-w.

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Song, Wei, Wei-Jie Dai, Meng-hui Zhang, Han Wang та Xiao-Zhong Yang. "Comprehensive Analysis of the Expression of TGF-β Signaling Regulators and Prognosis in Human Esophageal Cancer". Computational and Mathematical Methods in Medicine 2021 (23 жовтня 2021): 1–22. http://dx.doi.org/10.1155/2021/1812227.

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More and more evidences show that TGF-β has a crucial role in tumor initiation and development. However, the mechanism of the TGF-β signal regulator in esophageal cancer (EC) is still unclear. Here, we use a variety of bioinformatics methods to analyze the expression and survival data of TGF-β signal regulators in patients with EC. We extracted the expression of the S-TGF-β signal regulator from The Cancer Genome Atlas (TCGA). The cBioPortal database was used to assess the frequency of genetic variation. The TGF-β signal regulator is expressed in EC and normal tissues. The objective is to use

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Yue, Xianghua, and Yuming Lin. "Effectiveness of Punishment and Operating Subsidy in Supervision of China’s Pension PPP Projects: An Evolutionary Game and Simulation Analysis." Mathematical Problems in Engineering 2019 (November 28, 2019): 1–12. http://dx.doi.org/10.1155/2019/9641429.

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Aiming at solving problems of service quality supervision in China’s pension PPP projects, this paper mainly analyses the influences of “punishment” and “operating subsidy” on the evolutionary stability strategies of both players through constructing an evolutionary game model between private investors and government regulators. The results show that improving operating subsidy can effectively motivate private investors to improve service quality, and under the active supervision of government regulators, increasing punishment can restrain private investors from violating rules. If government

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46

Asakura, Masanori. "Surjectivity of p-adic regulators on K2 of Tate curves." Inventiones mathematicae 165, no. 2 (2006): 267–324. http://dx.doi.org/10.1007/s00222-005-0494-4.

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47

Kolster, Manfred, and Thong Nguyen Quang Do. "Syntomic regulators and special values of p -adic L -functions." Inventiones Mathematicae 133, no. 2 (1998): 417–47. http://dx.doi.org/10.1007/s002220050250.

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48

Deninger, Christopher. "Higher regulators and HeckeL-series of imaginary quadratic fields I." Inventiones Mathematicae 96, no. 1 (1989): 1–69. http://dx.doi.org/10.1007/bf01393970.

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Cortiñas, Guillermo, and Gisela Tartaglia. "Trace class operators, regulators, and assembly maps in $K$-theory." Documenta Mathematica 19 (2014): 439–55. http://dx.doi.org/10.4171/dm/452.

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KP, Saljuna, Thankamani CK, and Gayathri Pavithran. "Application of growth regulators in Ginger and turmeric: A review." International Journal of Research in Agronomy 7, no. 3 (2024): 321–28. http://dx.doi.org/10.33545/2618060x.2024.v7.i3e.417.

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