Academic literature on the topic 'Prognostic horizon'
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Journal articles on the topic "Prognostic horizon"
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Lijovic, M., ME Fabiani, J. Bader, and AG Frauman. "Prostate cancer: are new prognostic markers on the horizon?" Prostate Cancer and Prostatic Diseases 3, no. 2 (August 2000): 62–65. http://dx.doi.org/10.1038/sj.pcan.4500408.
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Bradbury, Jane. "A new prognostic tool on the horizon for breast cancer." Lancet 358, no. 9286 (September 2001): 989. http://dx.doi.org/10.1016/s0140-6736(01)06151-7.
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Bellocchio, Francesco, Caterina Lonati, Jasmine Ion Titapiccolo, Jennifer Nadal, Heike Meiselbach, Matthias Schmid, Barbara Baerthlein, et al. "Validation of a Novel Predictive Algorithm for Kidney Failure in Patients Suffering from Chronic Kidney Disease: The Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD)." International Journal of Environmental Research and Public Health 18, no. 23 (November 30, 2021): 12649. http://dx.doi.org/10.3390/ijerph182312649.
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Current equation-based risk stratification algorithms for kidney failure (KF) may have limited applicability in real world settings, where missing information may impede their computation for a large share of patients, hampering one from taking full advantage of the wealth of information collected in electronic health records. To overcome such limitations, we trained and validated the Prognostic Reasoning System for Chronic Kidney Disease (PROGRES-CKD), a novel algorithm predicting end-stage kidney disease (ESKD). PROGRES-CKD is a naïve Bayes classifier predicting ESKD onset within 6 and 24 months in adult, stage 3-to-5 CKD patients. PROGRES-CKD trained on 17,775 CKD patients treated in the Fresenius Medical Care (FMC) NephroCare network. The algorithm was validated in a second independent FMC cohort (n = 6760) and in the German Chronic Kidney Disease (GCKD) study cohort (n = 4058). We contrasted PROGRES-CKD accuracy against the performance of the Kidney Failure Risk Equation (KFRE). Discrimination accuracy in the validation cohorts was excellent for both short-term (stage 4–5 CKD, FMC: AUC = 0.90, 95%CI 0.88–0.91; GCKD: AUC = 0.91, 95% CI 0.86–0.97) and long-term (stage 3–5 CKD, FMC: AUC = 0.85, 95%CI 0.83–0.88; GCKD: AUC = 0.85, 95%CI 0.83–0.88) forecasting horizons. The performance of PROGRES-CKD was non-inferior to KFRE for the 24-month horizon and proved more accurate for the 6-month horizon forecast in both validation cohorts. In the real world setting captured in the FMC validation cohort, PROGRES-CKD was computable for all patients, whereas KFRE could be computed for complete cases only (i.e., 30% and 16% of the cohort in 6- and 24-month horizons). PROGRES-CKD accurately predicts KF onset among CKD patients. Contrary to equation-based scores, PROGRES-CKD extends to patients with incomplete data and allows explicit assessment of prediction robustness in case of missing values. PROGRES-CKD may efficiently assist physicians’ prognostic reasoning in real-life applications.
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Sun, Fei, Yingying Lian, Jianlin Wang, Lijun Hu, Judong Luo, and Jingping Yu. "KIF26B in the Prognosis and Immune Biomarking of Various Cancers: A Pan-Cancer Study." Journal of Oncology 2022 (March 22, 2022): 1–12. http://dx.doi.org/10.1155/2022/4829697.
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KIF26B has been identified as an oncogene in several tumors; however, its utility as a prognostic indicator for various cancers has not yet been comprehensively evaluated. Here, we first examined how KIF26B intervenes in thirty-three cancers within the TCGA database, including potential immunological functions, and how it affects the prognosis. Based on the open databases TCGA, TIMER2, GEPIA2, GTEx, CPTAC, and HPA, we found that, when compared with normal tissues, KIF26B is overexpressed in 22 tumor tissues. Following a survival analysis, a relationship between the expression of KIF26B and the prognosis of various cancers was observed. Among the genetic alterations assessed, mutations were the most frequent. On the contrary, high phosphorylation levels of S977 were detected in breast cancer, KIRC, LUAD, and UCEC. We also found positive or negative correlations between KIF26B and the immune infiltration of endothelial cells and cancer-associated fibroblast infiltration. This could imply that patients may benefit from immunotherapy. Finally, KEGG pathways and GO enrichment analyses were implemented to identify the molecular mechanisms of KIF26B. This study illustrates the function of KIF26B from a pan-cancer perspective and offers a new horizon for cancer prognostic and immunotherapeutic investigations.
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Kolokolov, Yu, and A. Monovskaya. "Concerning the time horizon of prognostic indicators to be beforehand with local climate changes." IOP Conference Series: Earth and Environmental Science 979, no. 1 (February 1, 2022): 012124. http://dx.doi.org/10.1088/1755-1315/979/1/012124.
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Abstract The paper researches the time resource to be beforehand with climate changes. The feature of the research consists in the following: the evolutionary properties of the local climate dynamics are considered from the bifurcation analysis, and adaptive properties are considered from the control theory. Then the principal event-driven scenario of the climate change birth is revealed over the period of the reliable meteorological observations; next, the rate of its development is estimated in the context of factually realized precedents; so, time horizons of prognostic indicators are determined. The research is founded on the regulatory theory on local climate dynamics. The analytical conclusions are illustrated by examples of processing the open-access data on daily mean air surface temperature in the continental part of Russia.
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Goliney, Vladimir A., and Dmitry M. Rosenthal. "US hegemony in Latin America and opportunities to overcome it: horizon 2040." USA & Canada Economics – Politics – Culture, no. 12 (December 15, 2023): 21–32. http://dx.doi.org/10.31857/s2686673023120027.
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This article examines the phenomenon of US hegemony in the Western Hemisphere and explores the possibility of overcoming it by 2040. The authors question the expediency of this measure for the countries within the region. The article identifies key determinants of Inter-American relations development. Among the key threats to Washington's dominance, the authors highlight the strengthening positions of major powers, particularly Brazil and Mexico, as well as China. The study's prognostic nature dictates its methodology, wherein current trends are compared with visions of future world development (by the middle of the 21st century).
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Tang, Chaozhi, Jiakang Ma, Xueting Wang, Fang Lei, Kaining Lu, Wentao Zhang, Yuyan Zhu, Xudong Yao, and Bin Yang. "Comprehensive characterization and functional implications of mesenchymal stem cell-related genes in pancancer: A new horizon for immunotherapy." Journal of Clinical Oncology 40, no. 16_suppl (June 1, 2022): e14577-e14577. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e14577.
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e14577 Background: Accumulated evidence demonstrates that mesenchymal stem cells (MSCs) contribute to tissue regeneration, tumor progression, chemotherapy resistance, and mediate tumor immune escape by modulating the stroma and immunity of the tumor microenvironment. However, little is known about the role of MSCs in cancer patients receiving immunotherapy. Therefore, we investigated the comprehensive characterization of MSC-related genes and their functional implications in pan-cancer immunotherapy. Methods: We performed a pan-cancer analysis of 59 MSC-related genes, which was used to calculate an MSC score with single sample gene set enrichment analysis. Multivariate Cox regression analysis was performed to identify a potential independent prognostic marker for cancer. TIDE algorithm and neural network were utilized to assess the predictive accuracy of MSC-related genes for immunotherapy. Results: MSC-related gene expression showed significant differences inconsistently between normal and tumor samples across the 33 cancer types (p < 0.05). Cox regression analysis suggested that the MSC score is an independent prognostic marker for papillary renal cell carcinoma (TCGA; OS, RFS and DSS, all p < 0.05), mesothelioma (TCGA and GSE29354, OS, all p < 0.05), glioma (TCGA and GSE107850, OS, all p < 0.05), and stomach adenocarcinoma (TCGA, GSE84437, GSE15459, GSE13861 and GSE62254, OS; GSE13861 and GSE62254, RFS; all p < 0.05). The abundance of fibroblasts was also more representative of the MSC score compared to the stromal score. Samples with a high MSC score were predicted to have low responsiveness to immunotherapy, which was validated across seven immune checkpoint therapy datasets (IMvigor210, 27.52% (low) vs 18.12% (high); GSE78220, 64.28% (low) vs 42.86% (high); GSE135222, 30.77% (low) vs 28.57% (high); GSE165252, 36.11% (low) vs 28.57% (high); GSE79671; 38.89% (low) vs 33.33% (high); PRJEB25780, 45.45% (low) vs 8.70% (high); GSE176307, 22.22% (low) vs 13.64% (high)). TIDE algorithm and Neural network demonstrated a good predictive accuracy of MSC-related genes for immunotherapy (CESC, COAD, DLBC, GBM, KIRC, LAML, LIHC, LUAD, LUSC, MESO, OV, PCPG, PRAD, SARC, SKCM, THCA, UCEC, and UCS; all ROC ≥0.9). Conclusions: We characterized the MSC-related genes across multiple cancer types and highlighted their potential as a predictive biomarker for immunotherapy response and prognosis. A prospective clinical trial is warranted to confirm these findings.
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Tang, Chaozhi, Jiakang Ma, Xueting Wang, Fang Lei, Kaining Lu, Wentao Zhang, Yuyan Zhu, Xudong Yao, and Bin Yang. "Comprehensive characterization and functional implications of mesenchymal stem cell-related genes in pancancer: A new horizon for immunotherapy." Journal of Clinical Oncology 40, no. 16_suppl (June 1, 2022): e14577-e14577. http://dx.doi.org/10.1200/jco.2022.40.16_suppl.e14577.
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e14577 Background: Accumulated evidence demonstrates that mesenchymal stem cells (MSCs) contribute to tissue regeneration, tumor progression, chemotherapy resistance, and mediate tumor immune escape by modulating the stroma and immunity of the tumor microenvironment. However, little is known about the role of MSCs in cancer patients receiving immunotherapy. Therefore, we investigated the comprehensive characterization of MSC-related genes and their functional implications in pan-cancer immunotherapy. Methods: We performed a pan-cancer analysis of 59 MSC-related genes, which was used to calculate an MSC score with single sample gene set enrichment analysis. Multivariate Cox regression analysis was performed to identify a potential independent prognostic marker for cancer. TIDE algorithm and neural network were utilized to assess the predictive accuracy of MSC-related genes for immunotherapy. Results: MSC-related gene expression showed significant differences inconsistently between normal and tumor samples across the 33 cancer types (p < 0.05). Cox regression analysis suggested that the MSC score is an independent prognostic marker for papillary renal cell carcinoma (TCGA; OS, RFS and DSS, all p < 0.05), mesothelioma (TCGA and GSE29354, OS, all p < 0.05), glioma (TCGA and GSE107850, OS, all p < 0.05), and stomach adenocarcinoma (TCGA, GSE84437, GSE15459, GSE13861 and GSE62254, OS; GSE13861 and GSE62254, RFS; all p < 0.05). The abundance of fibroblasts was also more representative of the MSC score compared to the stromal score. Samples with a high MSC score were predicted to have low responsiveness to immunotherapy, which was validated across seven immune checkpoint therapy datasets (IMvigor210, 27.52% (low) vs 18.12% (high); GSE78220, 64.28% (low) vs 42.86% (high); GSE135222, 30.77% (low) vs 28.57% (high); GSE165252, 36.11% (low) vs 28.57% (high); GSE79671; 38.89% (low) vs 33.33% (high); PRJEB25780, 45.45% (low) vs 8.70% (high); GSE176307, 22.22% (low) vs 13.64% (high)). TIDE algorithm and Neural network demonstrated a good predictive accuracy of MSC-related genes for immunotherapy (CESC, COAD, DLBC, GBM, KIRC, LAML, LIHC, LUAD, LUSC, MESO, OV, PCPG, PRAD, SARC, SKCM, THCA, UCEC, and UCS; all ROC ≥0.9). Conclusions: We characterized the MSC-related genes across multiple cancer types and highlighted their potential as a predictive biomarker for immunotherapy response and prognosis. A prospective clinical trial is warranted to confirm these findings.
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Polgár, Csaba, Tibor Major, and János Fodor. "Modern radiotherapy after breast-conserving surgery." Orvosi Hetilap 153, no. 2 (January 2012): 45–55. http://dx.doi.org/10.1556/oh.2012.29248.
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In the last four decades breast-conserving surgery followed by whole breast irradiation has become the standard of care for the treatment of early-stage (0-I-II) breast carcinoma. With the advent of breast-screening, incidence of breast carcinomas with more favorable prognostic characteristics has increased significantly. This change in the prognostic profile of newly diagnosed breast cancers opened a new horizon for clinical research seeking for individual risk-adapted protocols of breast cancer radiotherapy. Several groups have been tested the efficacy of accelerated (partial or whole) breast irradiation, which has become the new treatment paradigm in the radiotherapy of early-stage breast cancers. Furthermore, others have attempted to identify subgroups of patients for whom radiotherapy after breast-conserving surgery could be safely omitted. Recently molecular gene expression assays have emerged as promising prognostic and predictive markers for local recurrence. This article reviews the results of these studies focusing on individual risk-adapted radiotherapy after breast-conserving surgery for patients with early-stage breast carcinoma. Orv. Hetil., 2012, 153, 45–55.
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Boykina, E. E., and V. A. Chernov. "Legal Conscience of Teens from the Centennials Generation: a Prognostic Assessment." Psychology and Law 11, no. 1 (2021): 135–49. http://dx.doi.org/10.17759/psylaw.2021110111.
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Adolescence is a sensitive period for setting the groundwork of one's legal conscience on the way to the legal culture of an adult. The article analyses the projected risks for shaping the legal conscience of people for the next 10-20 years using the approach of the modern theories of generational cohorts. For the purpose of "detailed portrayal" of the anticipated image of an adult from the 2030-2040 this article contains the results of 11 studies (on centennials, iGeners, homelanders, digital natives etc.). The disputable traits of the typical representatives of these generations (that can potentially have impact on the formation process of their legal conscience) are compared: the idea of authority, the new forms of communication and education, hedonism, multitasking, planning horizon, family values etc. A number of features of the modern generation are compared with the fundamental elements of the structural and functional model of legal conscience (Ratinov A.P), particularly from the viewpoint of some systems: cognitive, regulative and evaluation. The postulates of the generation theories are critically assessed. We also analyse the general tendencies for the interaction of generations from the perspective of legal socializing.
Dissertations / Theses on the topic "Prognostic horizon"
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Wang, Chu. "Deep learning-based prognostics for fuel cells under variable load operating conditions." Electronic Thesis or Diss., Aix-Marseille, 2022. http://www.theses.fr/2022AIXM0530.
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Les systèmes de piles à combustible à membrane d'échange de protons (PEMFC) conviennent à diverses applications dans le domaine des transports, mais leur coût élevé et leur manque de durabilité restent les principaux facteurs limitant leur commercialisation à grande échelle. Dans les applications de transport, la détérioration des PEMFC est aggravée par des conditions de charge variables, ce qui entraîne une diminution de leur durée de vie utile restante (RUL). La gestion des pronostics et de la santé (PHM) est un outil efficace pour prévoir les risques du système, gérer les calendriers de contrôle/maintenance du système, améliorer la sécurité et la fiabilité du système, prolonger la durée de vie du système et réduire les coûts d'exploitation/maintenance. Le pronostic est une base importante et un support clé pour le PHM, et ses tâches principales incluent l'extraction d'indicateurs de santé, la prédiction des tendances de dégradation et l'estimation de la RUL. Les caractéristiques de dégradation à long terme des PEMFC sont dissimulées dans des conditions de charge variables, ce qui augmente la difficulté d'extraction des indicateurs de santé, réduit la précision de la prédiction de la dégradation et inhibe la fiabilité de l'estimation de la durée de vie. Dans cette optique, le travail de thèse part de la modélisation du comportement de dégradation des PEMFC dans des conditions de charge variables et mène des travaux de recherche sur l'extraction d'indicateurs de santé, la prédiction des tendances de dégradation à court/long terme, l'estimation RUL et l'évaluation de la fiabilitéProton exchange membrane fuel cell (PEMFC) systems are suitable for various transportation applications thanks to their compact structure, high power density, low start/running temperature, and zero carbon emissions. High cost and lack of durability of PEMFC are still the core factors limiting their large-scale commercialization. In transportation applications, the deterioration of PEMFCs is aggravated by variable load conditions, resulting in a decrease in their Remaining Useful Life (RUL). Prognostics and health management (PHM) is an effective tool to forecast potential system risks, manage system control/maintenance schedules, improve system safety and reliability, extend system life, and reduce operation/maintenance costs. Prognostics is an important foundation and key support for PHM, and its core tasks include health indicator extraction, degradation trend prediction, and RUL estimation. The long-term degradation characteristics of PEMFC are concealed in variable load conditions, which increases the difficulty of health indicator extraction, reduces the accuracy of degradation prediction, and inhibits the reliability of life estimation. In view of this, the thesis work starts from modeling the degradation behavior of PEMFC under variable load conditions and carries out research work on health indicator extraction, short/long-term degradation trend prediction, RUL estimation and reliability evaluation
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Bole, Brian McCaslyn. "Load allocation for optimal risk management in systems with incipient failure modes." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50394.
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The development and implementation challenges associated with a proposed load allocation paradigm for fault risk assessment and system health management based on uncertain fault diagnostic and failure prognostic information are investigated. Health management actions are formulated in terms of a value associated with improving system reliability, and a cost associated with inducing deviations from a system's nominal performance. Three simulated case study systems are considered to highlight some of the fundamental challenges of formulating and solving an optimization on the space of available supervisory control actions in the described health management architecture. Repeated simulation studies on the three case-study systems are used to illustrate an empirical approach for tuning the conservatism of health management policies by way of adjusting risk assessment metrics in the proposed health management paradigm. The implementation and testing of a real-world prognostic system is presented to illustrate model development challenges not directly addressed in the analysis of the simulated case study systems. Real-time battery charge depletion prediction for a small unmanned aerial vehicle is considered in the real-world case study. An architecture for offline testing of prognostics and decision making algorithms is explained to facilitate empirical tuning of risk assessment metrics and health management policies, as was demonstrated for the three simulated case study systems.
Book chapters on the topic "Prognostic horizon"
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Ruzhich, Valery V., and Evgeny V. Shilko. "A New Method for Seismically Safe Managing of Seismotectonic Deformations in Fault Zones." In Springer Tracts in Mechanical Engineering, 45–66. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60124-9_3.
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AbstractThe authors outline the results of long-term interdisciplinary research aimed at identifying the possibility and the methods of controlling tangential displacements in seismically dangerous faults to reduce the seismic risk of potential earthquakes. The studies include full-scale physical and numerical modeling of P-T conditions in the earth’s crust contributing to the initiation of displacement in the stick-slip regime and associated seismic radiation. A cooperation of specialists in physical mesomechanics, seismogeology, geomechanics, and tribology made it possible to combine and generalize data on the mechanisms for the formation of the sources of dangerous earthquakes in the highly stressed segments of faults. We consider the prospect of man-caused actions on the deep horizons of fault zones using powerful shocks or vibrations in combination with injecting aqueous solutions through deep wells to manage the slip mode. We show that such actions contribute to a decrease in the coseismic slip velocity in the fault zone, and, therefore, cause a decrease in the amplitude and energy of seismic vibrations. In conclusion, we substantiate the efficiency of the use of combined impacts on potentially seismically hazardous segments of fault zones identified in the medium-term seismic prognosis. Finally, we discuss the importance of the full-scale validation of the proposed approach to managing the displacement regime in highly-stressed segments of fault zones. Validation should be based on large-scale tests involving advanced technologies for drilling deep multidirectional wells, injection of complex fluids, and localized vibrational or pulse impacts on deep horizons.
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Skaf, Zakwan. "Iterative Fault Tolerant Control for General Discrete-Time Stochastic Systems Using Output Probability Density Estimation." In Diagnostics and Prognostics of Engineering Systems, 1–24. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2095-7.ch001.
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A new design of a fault tolerant control (FTC)-based an adaptive, fixed-structure proportional-integral (PI) controller with constraints on the state vector for nonlinear discrete-time system subject to stochastic non-Gaussian disturbance is studied. The objective of the reliable control algorithm scheme is to design a control signal such that the actual probability density function (PDF) of the system is made as close as possible to a desired PDF, and make the tracking performance converge to zero, not only when all components are functional but also in case of admissible faults. A Linear Matrix Inequality (LMI)-based FTC method is presented to ensure that the fault can be estimated and compensated for. A radial basis function (RBF) neural network is used to approximate the output PDF of the system. Thus, the aim of the output PDF control will be a RBF weight control with an adaptive tuning of the basis function parameters. The key issue here is to divide the control horizon into a number of equal time intervals called batches. Within each interval, there are a fixed number of sample points. The design procedure is divided into two main algorithms, within each batch, and between any two adjacent batches. A P-type Iterative Learning Control (ILC) law is employed to tune the parameters of the RBF neural network so that the PDF tracking error decreases along with the batches. Sufficient conditions for the proposed fault tolerance are expressed as LMIs. An analysis of the ILC convergence is carried out. Finally, the effectiveness of the proposed method is demonstrated with an illustrated example.
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Aktar, Sharmin, Tracie T. Cheng, Sujani M. K. Gamage, Vinod Gopalan, and Farhadul Islam. "Circulating Tumour Cells in Solid Cancer." In Current Cancer Biomarkers, 115–47. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815079364123010010.
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Circulating tumour cells (CTCs), as 'liquid biopsy”, has a major benefit over traditional tissue biopsy and has the potential to become a less invasive and more cost.effective cancer biomarker. The presence of CTCs in the circulation indicates the presence of a tumour and the possibility of metastatic spread. Hence, the characterisation of CTCs is expected to provide crucial insights into the mechanisms of metastasis. It can also provide useful information about the future use of CTCs as a surrogate endpoint biomarker in diagnosis, prognosis, and treatment response prediction by minimizing the limitations of tissue biopsies. Also, it provides a new horizon for the development of novel targeted therapies. However, the lack of specific and effective methods is the key limitation in CTC detection and isolation in patients with cancer. Therefore, more responsive methods and approaches may be needed to improve the accuracy of CTC measurements. Herein, this book chapter will provide a current picture of CTCs as surrogate biomarkers for disease diagnosis, prognosis and predicting therapy response, along with the risk of relapse in cancers.
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Fadeeva, Tat'iana Sergeevna. "Connective tissue dysplasia: new horizons of the problem." In Дисплазия соединительной ткани: новые горизонты проблемы. Publishing house Sreda, 2019. http://dx.doi.org/10.31483/r-22132.
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The work raises questions of predicting the complications of pregnancy and childbirth and adverse conditions in the fetus in the presence of UCTD in the expectant mother, who also need to be studied, especially from the standpoint of mathematical modeling of the disease. It is also necessary to develop a common tactic for providing medical and social assistance and treatment and diagnostic services to pregnant women suffering from UCTD, which will make the outcome of childbirth more favorable and improve the subsequent prognosis for mother and newborn. In the literature there is practically no assessment of the course of pregnancy and the outcome of childbirth, depending on the severity of UCTD. Little is known about the role of a connective tissue metabolism marker - hydroxyproline, trace elements (magnesium) and vitamins (D3) in pregnant women suffering from UCTD, and the medical tactics regarding such patients are not clearly defined. Despite numerous successes in the study of the causes of complications during pregnancy and childbirth in women suffering from UCTD, a unified approach to their management during the prenatal stage has not yet been developed. Therefore, the search for possible predictors for the timely prediction of adverse pregnancy and childbirth outcome in such patients is becoming increasingly important. This will make it possible to develop an optimal organizational and methodological base and subsequently improve the prognosis for women and their offspring. Thus, in contrast to the existing standard approach, we have proposed a comprehensive management of patients suffering from UCTD, including the timely identification of patients from the risk group, clarification of their condition using such markers as magnesium and hydroxyproline, additional intake of magnesium and vitamin D preparations. Optimal plan managing the period of gestation, childbirth, and a pathogenetically reasoned set of treatment and preventive measures for women with UCTD, will not only improve the outcomes of pregnancy and childbirth, but also contribute to the health of the future generation. 1. UCTD affects the course of pregnancy, childbirth and the condition of the newborn. The degree of exposure is largely determined by the severity of the underlying disease. In severe UCTD, the prevalence of spontaneous miscarriage and preterm labor was significantly higher, and endometritis and severe anemia were more common in the postpartum period. Severe asphyxia on the Apgar scale at the 1st and 5th minutes, congenital heart defects, morphofunctional immaturity, conjugation jaundice and convulsive syndrome were more common in the fetus. 2. A low content of magnesium and hydroxyproline is associated with the occurrence of complications during childbirth and a decrease in the anthropometric characteristics of the newborn. Taking magnesium preparations reliably affects the concentration of this trace element and hydroxyproline in the blood of pregnant women suffering from UCTD. 3. Therapy with magnesium preparations is an effective tool in patients suffering from UCTD, as it helps to improve well-being during pregnancy, improves the course of the postpartum period and reduces the prevalence of chronic fetal hypoxia. 4. Vitamin D and magnesium supplements have a beneficial effect on pregnancy and the fetus, reducing the prevalence of pre-eclampsia and chronic intrauterine hypoxia of the fetus, reducing the incidence of morphofunctional immaturity and conjugation jaundice of the newborn. 5. The created computer program “STEP DST” can be applied in the clinical practice of obstetrician-gynecologists and health care organizers. The obtained individual forecast of the probability of development of complications of reproduction allows us to outline the optimal plan for managing the period of gestation, childbirth and the postpartum period, to prescribe a pathogenetically based set of therapeutic and preventive measures for women suffering from UCTD.
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Sarandria, Nicola. "Neutrophils in Rectal Cancer: The Sarandria Score - a New Clinical Prognostic and Predictive Score and Further Proof of Identifying Rectal Cancer as a Separate Clinical and Pathological Entity from Colon Cancer." In New Horizons in Medicine and Medical Research Vol. 7, 70–82. Book Publisher International (a part of SCIENCEDOMAIN International), 2022. http://dx.doi.org/10.9734/bpi/nhmmr/v7/2096b.
Full textConference papers on the topic "Prognostic horizon"
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Kordell, Jonathan, Miao Yu, and Abhijit Dasgupta. "A Fiber Optic Conjugate-Stress Sensor for Prognostic Health Monitoring of Fatigue." In ASME 2020 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/smasis2020-2424.
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Abstract A fiber optic conjugate stress sensor (FOCSS) is explored for monitoring fatigue in aluminum cantilever beams. It is known that as damage accumulates due to fatigue, microstructural changes result in an altered modulus; so in this work, fatigue is continuously monitored by measuring the evolution of the effective modulus of the host. Conjugate stress sensing extracts host modulus from two extensometers of different stiffnesses (termed the stiff and compliant sensors) by using a known transfer function from sensor strains to host modulus. The sensing concept is explained and the transfer function is determined from a lumped-mass spring model. Finite element modeling is carried out, which reveals the host modulus assessed by the FOCSS is more sensitive to fatigue damage of a structure than its natural frequency (another commonly used macroscale measure of fatigue). The FOCSS capabilities are next verified in aluminum beam fatigue experiments. The FOCSS estimated modulus is seen to decrease with accumulation of fatigue damage. However, fatigue of the glue used to attach the sensors to the specimen is found to obscure the sensor’s response to host fatigue, thus presenting an important source of experimental error. Future work aims to deconvolve FOCSS sensitivity to glue fatigue from the response to host fatigue. Our finite element simulation results indicate that the FOCSS can significantly hasten early warning and extend the prognostic horizon, which can greatly reduce logistical burden and increase consumer confidence.
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Popov, Leonid, Aureliu Overcenco, and Stela Curcubat. "Considerațiuni privind folosirea polipedonului în aprecierea răspîdirii spațiale a solurilor." In Starea actuală a componentelor de mediu. Institute of Ecology and Geography, Republic of Moldova, 2019. http://dx.doi.org/10.53380/9789975315593.11.
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The specificity of zonal pedogenesis factors and their influence on the horizon thickness in the soil profile contributes to the formation of specific characters for each horizon. A clear example can be observed in the interaction between pedogenesis and hydrology, where the illuvial and spontaneous processes move soil-clay minerals, oxides, soil carbon, carbonates and other compounds into the soil profile. Such reciprocal links allow the application of the statistical analysis to assess the variability of the horizons thickness and the prognosis of their spatial spread in relation to the factors that determine the formation of the horizon thickness.
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Gebremariam, Mebrahitom Asmelash, Seow Xiang Yuan, Azmir Azhari, and Tamiru Alemu Lemma. "Remaining Tool Life Prediction Based on Force Sensors Signal During End Milling of Stavax ESR Steel." In ASME 2017 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/imece2017-70058.
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This paper focuses on the prediction of the Remaining Useful Life (RUL) of a carbide insert end mill. As tool life degradation due to wear is the main limitation to machining productivity and part quality, prediction and periodic assessment of the condition of the tool is very helpful for the machining industry. The RUL prediction of tools is demonstrated based on the force sensor signal values using the Support Vector Regression (SVR) method and Neural Network (NN) techniques. End milling tests were performed on a stainless steel workpiece at constant machining parameters and the cutting force signal data was collected using force dynamometer for feature extraction and further analysis. Both the SVR and NN models were compared based on the same set of experimental data for the prediction performance. Results have shown a good agreement between the predicted and actual RUL of the tools for both models. The difference in the level of the prognostic matrices such as accuracy, precision and prediction horizon for both models was discussed.
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Zhang, Bin, Liang Tang, Jonathan DeCastro, and Kai Goebel. "Prognostics-enhanced Receding Horizon Mission Planning for Field Unmanned Vehicles." In AIAA Guidance, Navigation, and Control Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2011. http://dx.doi.org/10.2514/6.2011-6294.
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Pattipati, Bharath, Chaitanya Sankavaram, Krishna Pattipati, Yilu Zhang, Mark Howell, and Mutasim Salman. "Multiple model moving horizon estimation approach to prognostics in coupled systems." In 2011 IEEE AUTOTESTCON. IEEE, 2011. http://dx.doi.org/10.1109/autest.2011.6058750.
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Sheldon, Jeremy S., Matthew J. Watson, and Carl S. Byington. "Integrating Oil Health and Vibration Diagnostics for Reliable Wind Turbine Health Predictions." In ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition. ASMEDC, 2011. http://dx.doi.org/10.1115/gt2011-46713.
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The Department of Energy’s (DOE) goal for wind energy is that it comprise 20% of the nation’s energy by 2030. For this to be achieved, so called “distributed wind” and off-shore wind farms will be required. However, to date, operating & maintenance and unscheduled outage costs make such applications risky [1]. A potential risk mitigation strategy is implementation of Prognostics and Health Management (PHM). Prognostics promise great benefits to parts order/handling, logistic planning, maintenance scheduling, which ultimately reduces the cost of ownership/operation. Successful prognostics require that faults be detected at the earliest possible stage. However, to fully realize the benefit of the investment, PHM systems must provide early detection of precursors for failure modes. Incipient fault detection is critical to increasing reliability and lowering Operation and Maintenance (O&M) costs for wind turbine gearboxes. The combination of this critical incipient fault detection capability with prognostics will allow wind turbine owners to reap the promised PHM benefits. It is possible to generalize gearbox faults into two areas: mechanical and lubricant related faults. To provide adequate coverage to both generalized areas, the authors will show how two primary sensing technologies can be combined to provide the necessary detection horizon for wind turbine gearboxes. The authors will introduce a generalized PHM architecture that can be adapted for a broad range of mechanical systems, especially wind turbine gearboxes. Various sensors and diagnostic techniques that can be integrated into the architecture will be discussed. Finally, the authors will show how the architecture, sensors, and techniques can be applied to a subscale test, including example results.
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Rapolu, Shiva Teja, Umesh Chandra Kadali, Jashwanth Vemula, Aparna Sinha, and Debanjan Das. "Interpretable Deep Learning Approach for Long Horizon Health Prognosis of a Li-ion Battery." In 2023 IEEE 20th India Council International Conference (INDICON). IEEE, 2023. http://dx.doi.org/10.1109/indicon59947.2023.10440908.
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Chowdhury, Puja, Philip Conrad, Jason D. Bakos, and Austin Downey. "Time Series Forecasting for Structures Subjected to Nonstationary Inputs." In ASME 2021 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/smasis2021-68338.
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Abstract In this paper, a method for real-time forecasting of the dynamics of structures experiencing nonstationary inputs is described. This is presented as time series predictions across different timescales. The target applications include hypersonic vehicles, space launch systems, real-time prognostics, and monitoring of high-rate and energetic systems. This work presents numerical analysis and experimental results for the real-time implementation of a Fast Fourier Transform (FFT)-based approach for time series forecasting. For this preliminary study, a testbench structure that consists of a cantilever beam subjected to nonstationary inputs is used to generate experimental data. First, the data is de-trended, then the time series data is transferred into the frequency domain, and measures for frequency, amplitude, and phase are obtained. Thereafter, select frequency components are collected, transformed back to the time domain, recombined, and then the trend in the data is restored. Finally, the recombined signals are propagated into the future to the selected prediction horizon. This preliminary time series forecasting work is done offline using pre-recorded experimental data, and the FFT-based approach is implemented in a rolling window configuration. Here learning windows of 0.1, 0.5, and 1 s are considered with different computation times simulated. Results demonstrate that the proposed FFT-based approach can maintain a constant prediction horizon at 1 s with sufficient accuracy for the considered system. The performance of the system is quantified using a variety of metrics. Computational speed and prediction accuracy as a function of training time and learning window lengths are examined in this work. The algorithm configuration with the shortest learning window (0.1 s) is shown to converge faster following the nonstationary when compared to algorithm configuration with longer learning windows.
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Furlam, Tiago de Oliveira, Ewelin Wasner Machado da Silva, Isadora Gonçalves Roque, Pedro Parenti Vianna, Rafael Arantes de Oliveira, João Luis Vieira Monteiro de Barros, Maíra Glória de Freitas Cardoso, Rodrigo Moreira Faleiro, Leonardo Cruz de Souza, and Aline Silva de Miranda. "Renin-Angiotensin System 24 hours after mild traumatic brain injury: a case- control study." In XIII Congresso Paulista de Neurologia. Zeppelini Editorial e Comunicação, 2021. http://dx.doi.org/10.5327/1516-3180.651.
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Background: The Renin-Angiotensin System (RAS) has been associated with several neuropathologies, including traumatic brain injury (TBI). Objectives: Assess the relationship between RAS and mild TBI within 24 hours after trauma. Design and setting: A case-control study developed by the Federal University of Minas Gerais and conducted at the Hospital João XXIII, Belo Horizonte, Minas Gerais, Brazil. Methods: Sociodemographic data and blood samples were collected from 52 individuals, of whom 28 suffered mild TBI in the 24 hours prior to collection and 24 healthy individuals made up the control group. The serum was used to measure the components of the RAS. Results: There were no significant sociodemographic differences between groups regarding to sex and age (p=0.782; p=0.077). Of the experimental group, 15 individuals reported loss of consciousness and 11 reported previous TBI. The experimental group showed significantly higher concentrations of angiotensin II (p=0.0234) and angiotensin-(1-7) (p=0.0225) and significantly lower concentrations of angiotensin converting enzyme (ACE) (p=0.0004) and ACE2 (p=0.0047). Conclusion: RAS seems to be involved in the pathophysiology of the hyperacute phase of mild TBI and the study of its components may contribute to identify prognostic biomarkers and new therapeutic targets for patients victims of TBI.
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Diallo, MH, IS Baldé, O. Baldé, MD Baldé, and N. Keita. "Forceps Delivery at the Maternity Ward of Donka National Teaching Hospital Conakry (Guinea): Indications and Maternalfoetal Prognosis." In 29. Deutscher Kongress für Perinatale Medizin. Deutsche Gesellschaft für Perinatale Medizin (DGPM) – „Hinterm Horizont geht's weiter, zusammen sind wir stark“. Georg Thieme Verlag KG, 2019. http://dx.doi.org/10.1055/s-0039-3401188.
Full textReports on the topic "Prognostic horizon"
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Neodo, Anna, Fiona Augsburger, Jan Waskowski, Joerg C. Schefold, and Thibaud Spinetti. Monocytic HLA-DR expression and clinical outcomes in adult ICU patients with sepsis – a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, November 2022. http://dx.doi.org/10.37766/inplasy2022.11.0119.
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Review question / Objective: The scope of this review was defined using PICOTS framework where 1) population: adult critically ill patients with sepsis or septic shock; 2) index prognostic factor: cell surface protein expression of mHLA-DR in blood; 3) comparative factor: none; 4) outcomes to be predicted: mortality, secondary infections, length of stay, and organ dysfunction score (sequential organ failure assessment [SOFA], multiple organ dysfunction score [MODS], logistic organ dysfunction score [LODS]), composite outcomes where component endpoints consist of at least one of the outcomes stated above (e.g., “adverse outcome” defined as death or secondary infection), 5) timing (of the prediction horizon and the moment of prognosis): any; and 6) setting: ICU. Condition being studied: Sepsis is a life-threatening organ dysfunction caused by a dysregulated host response to severe infections. It can further progress to septic shock, which includes hemodynamic failure and increased mortality rates. A recent worldwide epidemiological study estimated 48.9 million sepsis cases and 11 million of sepsis-related deaths (~20% of global deaths in 2017). Although its management has advanced considerably, sepsis remains deadly and challenging to treat. The 28/30-day mortality averages around 25% for sepsis and 38% for septic shock in high-income countries. Current models describe the underlying pathophysiologic mechanisms of sepsis as an interplay between concurrent dysfunctional pro- and anti-inflammatory immune response.