Herstellung, Verarbeitung und Nachbehandlung von Beton

Beitzel, Harald; Beitzel, Marc

doi:10.1002/9783433606803.ch3

Cited by 4 publications

(12 citation statements)

References 3 publications

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“…Additionally, higher levels of COL1A1, COL3A1, matrix metalloproteinase-2 (MMP-2), transforming growth factor-β1 (TGF-β1), connexin43, and low levels of matrix metalloproteinase-1 (MMP-1) expression were observed in TDSCs. 113 In addition to SSPs and LHBs, stem cells have been isolated from the proximal humerus, 105,114 glenohumeral joint, 115 synovium (SDSCs), 115 subacromial bursa (SASCs), 116 infraspinatus tendons, 117 and enthesis tissue (residual tendon stump). 47,115 A comparative in vitro evaluation between the stem cell sources indicated higher viability and expansion capability in SASCs (>passage-10), compared to TDSCs and enthesis-derived MSCs.…”

Section: Other Stem Cellsmentioning

confidence: 99%

“…Despite significant developments in graft fabrications, rejection rates due to immune reactions, and graft failure rates (>30%), necessitate the development of novel scaffolds that can provide long-term mechanical augmentation for long periods of time. In this regard, several acellular grafts derived from human and various animal species with lower immunogenicity are being evaluated for their potential to regenerate rotator cuff tendons [130][131][132][133][134][135][136][137][138][139] (summarized in Table 3).…”

Section: Extracellular Matrix (Ecm)-based Matrices For Rotator Cuff Regenerationmentioning

confidence: 99%

“…One of the key advantages of fibrin scaffolds is the possibility of fabricating scaffolds during the patient visit, and its easier application into the repair site. 138 Because of these reasons, fibrin-based scaffolds have been evaluated in various animal model and human pilot studies for rotator cuff tissue regeneration. However, a comparative evaluation demonstrated poor differentiation and proliferation capabilities of BMSCs in fibrin matrix-based scaffolds compared to ECM-based scaffolds of biological origin (decellularized dermal patch, collagen, and rotator cuff tendon scaffolds) in one study.…”

Section: Biomaterials Of Biologic and Natural Origin For Rotator Cuff Regenerationmentioning

confidence: 99%

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Regenerative Engineering of the Rotator Cuff of the Shoulder

Narayanan

Nair

Laurencin

2018

ACS Biomater. Sci. Eng.

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Rotator cuff tears often heal poorly, leading to re-tears after repair. This is in part attributed to the low proliferative ability of the resident cells (tendon fibroblasts and tendon-stem cells) upon injury to the rotator cuff tissue and the low vascularity of the tendon insertion. In addition, surgical outcomes of current techniques used in clinical settings are often suboptimal, leading to the formation of neo-tissue with poor biomechanics and structural characteristics, which results in re-tears. This has prompted interest in a new approach, which we term as "Regenerative Engineering", for regenerating rotator cuff tendons. In the Regenerative Engineering paradigm, roles played by stem cells, scaffolds, growth factors/small molecules, the use of local physical forces, and morphogenesis interplayed with clinical surgery techniques may synchronously act, leading to synergistic effects and resulting in successful tissue regeneration. In this regard, various cell sources such as tendon fibroblasts and adult tissue-derived stem cells have been isolated, characterized, and investigated for regenerating rotator cuff tendons. Likewise, numerous scaffolds with varying architecture, geometry, and mechanical characteristics of biologic and synthetic origin have been developed. Furthermore, these scaffolds have been also fabricated with *

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Section: Other Stem Cellsmentioning

confidence: 99%

Section: Extracellular Matrix (Ecm)-based Matrices For Rotator Cuff Regenerationmentioning

confidence: 99%

Section: Biomaterials Of Biologic and Natural Origin For Rotator Cuff Regenerationmentioning

confidence: 99%

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Regenerative Engineering of the Rotator Cuff of the Shoulder

Narayanan

Nair

Laurencin

2018

ACS Biomater. Sci. Eng.

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“…• by protecting the concrete surface with foils and protection mats (in this case the concrete curing is additionally favored due to removing constraints from the structure, for example, when concreting floor slabs.) • by moistening the concrete surface with a water mist • by applying a liquid protective film or after-treatment agent • by leaving the concrete in the formwork [8][9][10] Checking or monitoring the correct curing of concrete components is not an easy task under construction conditions. Processes are required that are easily manageable, can be used over a wide area, are reproducible, and allow unambiguous statements.…”

Section: Introductionmentioning

confidence: 99%

“…A good curing can be obtained with the following measures: by protecting the concrete surface with foils and protection mats (in this case the concrete curing is additionally favored due to removing constraints from the structure, for example, when concreting floor slabs.) by moistening the concrete surface with a water mist by applying a liquid protective film or after-treatment agent by leaving the concrete in the formwork [ 8 , 9 , 10 ] …”

Section: Introductionmentioning

confidence: 99%

Curing Assessment of Concrete with Hyperspectral Imaging

et al. 2021

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The curing of concrete significantly influences the hydration process and its strength development. Inadequate curing leads to a loss of quality and has a negative effect on the durability of the concrete. Usually, the effects are not noticed until years later, when the first damage to the structure occurs because of the poor concrete quality. This paper presents a non-destructive measurement method for the determination of the curing quality of young concrete. Hyperspectral imaging in the near infrared is a contactless method that provides information about material properties in an electromagnetic wavelength range that cannot be seen with the human eye. Laboratory tests were carried out with samples with three different curing types at the age of 1, 7, and 27 days. The results showed that differences in the near infrared spectral signatures can be determined depending on the age of the concrete and the type of curing. The data was classified and analyzed by evaluating the results using k-means clustering. This method showed a high level of reliability for the differentiation between the different curing types and concrete ages. A recommendation for hyperspectral measurement and the evaluation of the curing quality of concrete could be made.

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A retrospective analysis based on multiple machine learning models to predict lymph node metastasis in early gastric cancer

et al. 2022

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BackgroundEndoscopic submucosal dissection has become the primary option of treatment for early gastric cancer. However, lymph node metastasis may lead to poor prognosis. We analyzed factors related to lymph node metastasis in EGC patients, and we developed a construction prediction model with machine learning using data from a retrospective series.MethodsTwo independent cohorts’ series were evaluated including 305 patients with EGC from China as cohort I and 35 patients from Spain as cohort II. Five classifiers obtained from machine learning were selected to establish a robust prediction model for lymph node metastasis in EGC.ResultsThe clinical variables such as invasion depth, histologic type, ulceration, tumor location, tumor size, Lauren classification, and age were selected to establish the five prediction models: linear support vector classifier (Linear SVC), logistic regression model, extreme gradient boosting model (XGBoost), light gradient boosting machine model (LightGBM), and Gaussian process classification model. Interestingly, all prediction models of cohort I showed accuracy between 70 and 81%. Furthermore, the prediction models of the cohort II exhibited accuracy between 48 and 82%. The areas under curve (AUC) of the five models between cohort I and cohort II were between 0.736 and 0.830.ConclusionsOur results support that the machine learning method could be used to predict lymph node metastasis in early gastric cancer and perhaps provide another evaluation method to choose the suited treatment for patients.

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Herstellung, Verarbeitung und Nachbehandlung von Beton

Cited by 4 publications

References 3 publications

Regenerative Engineering of the Rotator Cuff of the Shoulder

Regenerative Engineering of the Rotator Cuff of the Shoulder

Curing Assessment of Concrete with Hyperspectral Imaging

A retrospective analysis based on multiple machine learning models to predict lymph node metastasis in early gastric cancer

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