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Academic literature on the topic 'TSCE Model'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "TSCE Model"

Tong, Wenjie, Wanming Li, Ximin Zang, Huabing Li, Zhouhua Jiang, and Dejun Li. "A Comprehensive Mathematical Model of Electroslag Remelting with Two Series-Connected Electrodes Based on Sequential Coupling Simulation Method." Metals 10, no. 5 (May 19, 2020): 658. http://dx.doi.org/10.3390/met10050658.

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A comprehensive mathematical model of electroslag remelting with two series-connected electrodes (TSCE-ESR) was constructed based on sequential coupling method. The influence of droplet effect on electroslag remelting process (ESR) was considered in this model. Compared with one-electrode electroslag remelting (OE-ESR), the multi-physics field, droplet formation and dripping behavior, and molten metal pool structure of TSCE-ESR process were studied. The results show that during the process of TSCE-ESR, the proximity effect of the electrodes suppresses the skin effect, and Joule heat is concentrated in the area between the two electrodes of slag pool, making the temperature distribution of the slag pool more uniform. The heat used to melt the electrode in the process of TSCE-ESR accounts for about 34% of the total Joule heat, which is lower than the OE-ESR (17%). Therefore, it makes a higher melting rate and a smaller droplet size in the process of TSCE-ESR. Compared with OE-ESR, TSCE-ESR process can realize the unification of higher melting rate and shallow flat molten metal pool. Compared with the results without droplet effect, it is found that in the simulation results with droplet effect, the depth and the cylindrical section of molten metal pool increased, and the width of the mushy zone is significantly reduced, which is more consistent with the actual electroslag remelting process.

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Heidenreich, Wolfgang F., E. Georg Luebeck, and Suresh H. Moolgavkar. "Effects of Exposure Uncertainties in the TSCE Model and Application to the Colorado Miners Data." Radiation Research 161, no. 1 (January 2004): 72–81. http://dx.doi.org/10.1667/rr3089.

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Tong, Wenjie, Wanming Li, Ximin Zang, Huabing Li, Zhouhua Jiang, and Yu Han. "Droplet Formation and Dripping Behavior during the Electroslag Remelting Process with Two Series-Connected Electrodes." Metals 10, no. 3 (March 18, 2020): 386. http://dx.doi.org/10.3390/met10030386.

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The formation and dripping behavior of droplets in the process of the electroslag remelting with two series-connected electrodes (TSCE-ESR) has an important influence on the optimization of power supply parameters and the purity of the electroslag ingot. In this article, through numerical simulation based on the VOF (volume of fluid) model, combined with the transparent experimental device for physical simulation, the mechanism of metal droplet formation and the effect of the filling rate on its droplet behavior were studied. The results showed that the proximity effect, instead of the skin effect, is a major factor influencing droplet formation in TSCE-ESR process. The proximity effect makes the region inside the two electrode tip melt first, and the molten steel converges at the electrode tips to form a droplet source. The process of droplet formation and dropping can be divided into three stages: formation of molten layer, droplet stretching and necking, and detachment. In the stage of droplet stretching and necking, the increase in the contact area between the droplet and the slag and the instantaneous increase of the current provide good thermodynamic and dynamic conditions for the removal of non-metallic inclusions. After the droplet drops into the slag pool, it promotes the flow of slag and improves the heat and mass transfer efficiency of the slag/metal interface. The relatively large filling rate can form smaller and dispersed droplets, which improves the refining effect. At the same time, the increase of the filling rate can improve the input power and the electrode remelting rate.

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Zarei, Mahsa, Heng Du, Amin H. Nassar, Rachel E. Yan, Krinio Giannikou, Sneha H. Johnson, Hilaire C. Lam, et al. "Tumors with TSC mutations are sensitive to CDK7 inhibition through NRF2 and glutathione depletion." Journal of Experimental Medicine 216, no. 11 (September 10, 2019): 2635–52. http://dx.doi.org/10.1084/jem.20190251.

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Tuberous sclerosis complex (TSC) is characterized by tumor development in the brain, heart, kidney, and lungs. In TSC tumors, loss of the TSC1/TSC2 protein complex leads to activation of mTORC1 with downstream effects on anabolism and cell growth. Because mTORC1 activation enhances mRNA transcription, we hypothesized that aberrant mTORC1 activation might confer TSC-null cell dependence on transcriptional regulation. We demonstrate that TSC1- or TSC2-null cells, in contrast to their wild-type counterparts, are sensitive to pharmacological inhibition of CDK7. Mechanistic studies revealed that CDK7 inhibition markedly reduces glutathione levels and increases reactive oxygen species due to reduced expression of NRF2 and glutathione biosynthesis genes. Treatment of both Tsc2+/− mice and a TSC1-null bladder cancer xenograft model with a CDK7 inhibitor showed marked reduction in tumor volume and absence of regrowth in the xenograft model. These results suggest that CDK7 inhibition is a promising therapeutic approach for treatment of TSC-associated tumors and cancers with mutations in either TSC1 or TSC2.

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Mrozek, Evelyn M., Vineeta Bajaj, Yanan Guo, Izabela A. Malinowska, Jianming Zhang, and David J. Kwiatkowski. "Evaluation of Hsp90 and mTOR inhibitors as potential drugs for the treatment of TSC1/TSC2 deficient cancer." PLOS ONE 16, no. 4 (April 23, 2021): e0248380. http://dx.doi.org/10.1371/journal.pone.0248380.

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Inactivating mutations in either TSC1 or TSC2 cause Tuberous Sclerosis Complex, an autosomal dominant disorder, characterized by multi-system tumor and hamartoma development. Mutation and loss of function of TSC1 and/or TSC2 also occur in a variety of sporadic cancers, and rapamycin and related drugs show highly variable treatment benefit in patients with such cancers. The TSC1 and TSC2 proteins function in a complex that inhibits mTORC1, a key regulator of cell growth, which acts to enhance anabolic biosynthetic pathways. In this study, we identified and validated five cancer cell lines with TSC1 or TSC2 mutations and performed a kinase inhibitor drug screen with 197 compounds. The five cell lines were sensitive to several mTOR inhibitors, and cell cycle kinase and HSP90 kinase inhibitors. The IC50 for Torin1 and INK128, both mTOR kinase inhibitors, was significantly increased in three TSC2 null cell lines in which TSC2 expression was restored. Rapamycin was significantly more effective than either INK128 or ganetespib (an HSP90 inhibitor) in reducing the growth of TSC2 null SNU-398 cells in a xenograft model. Combination ganetespib-rapamycin showed no significant enhancement of growth suppression over rapamycin. Hence, although HSP90 inhibitors show strong inhibition of TSC1/TSC2 null cell line growth in vitro, ganetespib showed little benefit at standard dosage in vivo. In contrast, rapamycin which showed very modest growth inhibition in vitro was the best agent for in vivo treatment, but did not cause tumor regression, only growth delay.

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Sampson, J. R. "TSC1 and TSC2: genes that are mutated in the human genetic disorder tuberous sclerosis." Biochemical Society Transactions 31, no. 3 (June 1, 2003): 592–96. http://dx.doi.org/10.1042/bst0310592.

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The tuberous sclerosis complex genes TSC1 and TSC2 were first identified by positional cloning strategies in the heritable human disorder tuberous sclerosis. They encode previously unknown proteins, termed hamartin and tuberin respectively, that form a functional complex. The phenotypic manifestations of tuberous sclerosis are extremely diverse and suggest normal roles for TSC1 and TSC2 in regulating the growth, proliferation, migration and differentiation of many cell types. Investigations of TSC1 and TSC2 in a number of model organisms and cell-culture systems have provided new insights into the mechanisms through which these roles are effected. Most promisingly, the hamartin–tuberin complex has been shown to function as a negtive regulator of the insulin receptor/phosphoinositide 3-kinase/S6 kinase pathway. Drugs that act to inhibit this pathway may have therapeutic potential for tuberous sclerosis and the related disorder lymphangioleiomyomatosis.

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Dickson, Mark Andrew, Vinod Ravi, Kristen N. Ganjoo, and Gopa Iyer. "Institutional experience with nab-sirolimus in patients with malignancies harboring TSC1 or TSC2 mutations." Journal of Clinical Oncology 39, no. 15_suppl (May 20, 2021): 3111. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.3111.

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3111 Background: TSC1/ TSC2 genes are tumor suppressors in the mTOR pathway; mutated at low frequency across tumor types (̃1–2%). Retrospective analyses of patients (pts) with mTOR pathway mutations treated with everolimus did not show improved outcomes vs the wild type (Voss et al. Clin Cancer Res 2019. PMID 30327302). In NCT02201212, pts with TSC1/TSC2 mutations treated with everolimus had a 7% (2/30) response rate. In the AMPECT study, pts with advanced PEComa treated with a novel mTOR inhibitor (mTORi), nab-sirolimus ( nab-S, ABI-009), the subset of pts with TSC1/TSC2 mutations had a response rate of 64% (9/14) (Wagner et al. CTOS 2020. #3463014). In a xenograft model, nab-S showed significantly higher tumor accumulation, target suppression (pS6) and antitumor activity vs everolimus or sirolimus (Hou et al. AACR 2019. #348). In an expanded access program (NCT03817515), pts with advanced tumors bearing TSC1/ TSC2 mutations were treated with nab-S and outcomes in pts with malignancies other than PEComa are reported herein. Methods: Eligible pts (ECOG 0–2) received nab-S 100 mg/m2 IV, once weekly for 2 of every 3 weeks at 3 US sites between 7/2019 and 11/2020. Results: 7 pts with TSC1/ TSC2 mutations have been consecutively enrolled and are reported here. 6/7 pts had multiple prior therapies including 2 pts previously progressing on an mTORi. 4/7 pts had partial response (PR), all in mTORi naïve pts. 2/7 pts had stable disease (SD). In 2 pts previously treated with an mTORi, 1 had SD and 1 came off treatment after 1 cycle (CA125 ↑) with no follow-up scan. Treatment-related serious adverse events (SAEs; hyperglycemia and infection) and dose reduction were reported in 1 pt with metastatic angiosarcoma; SAEs resolved and the pt continued Rx. No other SAE or dose limiting event was reported Conclusions: Patients with various malignancies bearing TSC1 or TSC2 mutations, most with progression on multiple prior therapies, showed evidence of response and manageable toxicities during treatment with nab-S. A basket trial of nab-S in malignancies with TSC1/ TSC2 mutations is planned. Clinical trial information: NCT03817515. [Table: see text]

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Langkau, Nicola, Nicola Martin, Regine Brandt, Karin Zügge, Stefanie Quast, Gerd Wiegele, Anna Jauch, et al. "TSC1 and TSC2 mutations in tuberous sclerosis, the associated phenotypes and a model to explain observed TSC1/TSC2 frequency ratios." European Journal of Pediatrics 161, no. 7 (June 8, 2002): 393–402. http://dx.doi.org/10.1007/s00431-001-0903-7.

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Zahedi, Kamyar, Sharon Barone, Marybeth Brooks, Tracy Murray Stewart, Robert A. Casero, and Manoocher Soleimani. "Renal Transcriptome and Metabolome in Mice with Principal Cell-Specific Ablation of the Tsc1 Gene: Derangements in Pathways Associated with Cell Metabolism, Growth and Acid Secretion." International Journal of Molecular Sciences 23, no. 18 (September 13, 2022): 10601. http://dx.doi.org/10.3390/ijms231810601.

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Tuberous sclerosis complex (TSC) is caused by mutations in the hamartin (TSC1) or tuberin (TSC2) genes. Using a mouse model of TSC renal cystogenesis that we have previously described, the current studies delineate the metabolic changes in the kidney and their relation to alterations in renal gene expression. To accomplish this, we compared the metabolome and transcriptome of kidneys from 28-day-old wildtype (Wt) and principal cell-specific Tsc1 KO (Tsc1 KO) mice using targeted 1H nuclear magnetic resonance targeted metabolomic and RNA-seq analyses. The significant changes in the kidney metabolome of Tsc1 KO mice included reductions in the level of several amino acids and significant decreases in creatine, NADH, inosine, UDP-galactose, GTP and myo-inositol levels. These derangements may affect energy production and storage, signal transduction and synthetic pathways. The pertinent derangement in the transcriptome of Tsc1 KO mice was associated with increased collecting duct acid secretion, active cell division and the up-regulation of signaling pathways (e.g., MAPK and AKT/PI3K) that suppress the TSC2 GTPase-activating function. The combined renal metabolome and transcriptome alterations observed in these studies correlate with the unregulated growth and predominance of genotypically normal A-intercalated cells in the epithelium of renal cysts in Tsc1 KO mice.

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Liang, Ning, Chi Zhang, Patricia Dill, Ganna Panasyuk, Delphine Pion, Vonda Koka, Morgan Gallazzini, et al. "Regulation of YAP by mTOR and autophagy reveals a therapeutic target of tuberous sclerosis complex." Journal of Experimental Medicine 211, no. 11 (October 6, 2014): 2249–63. http://dx.doi.org/10.1084/jem.20140341.

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Genetic studies have shown that the tuberous sclerosis complex (TSC) 1–TSC2–mammalian target of Rapamycin (mTOR) and the Hippo–Yes-associated protein 1 (YAP) pathways are master regulators of organ size, which are often involved in tumorigenesis. The crosstalk between these signal transduction pathways in coordinating environmental cues, such as nutritional status and mechanical constraints, is crucial for tissue growth. Whether and how mTOR regulates YAP remains elusive. Here we describe a novel mouse model of TSC which develops renal mesenchymal lesions recapitulating human perivascular epithelioid cell tumors (PEComas) from patients with TSC. We identify that YAP is up-regulated by mTOR in mouse and human PEComas. YAP inhibition blunts abnormal proliferation and induces apoptosis of TSC1–TSC2-deficient cells, both in culture and in mosaic Tsc1 mutant mice. We further delineate that YAP accumulation in TSC1/TSC2-deficient cells is due to impaired degradation of the protein by the autophagosome/lysosome system. Thus, the regulation of YAP by mTOR and autophagy is a novel mechanism of growth control, matching YAP activity with nutrient availability under growth-permissive conditions. YAP may serve as a potential therapeutic target for TSC and other diseases with dysregulated mTOR activity.

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Dissertations / Theses on the topic "TSCE Model"

Leopold, Henrik, Jan Mendling, and Artem Polyvyanyy. "Supporting Process Model Validation through Natural Language Generation." Institute of Electrical and Electronics Engineers (IEEE), 2014. http://dx.doi.org/10.1109/TSE.2014.2327044.

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The design and development of process-aware information systems is often supported by specifying requirements as business process models. Although this approach is generally accepted as an effective strategy, it remains a fundamental challenge to adequately validate these models given the diverging skill set of domain experts and system analysts. As domain experts often do not feel confident in judging the correctness and completeness of process models that system analysts create, the validation often has to regress to a discourse using natural language. In order to support such a discourse appropriately, so-called verbalization techniques have been defined for different types of conceptual models. However, there is currently no sophisticated technique available that is capable of generating natural-looking text from process models. In this paper, we address this research gap and propose a technique for generating natural language texts from business process models. A comparison with manually created process descriptions demonstrates that the generated texts are superior in terms of completeness, structure, and linguistic complexity. An evaluation with users further demonstrates that the texts are very understandable and effectively allow the reader to infer the process model semantics. Hence, the generated texts represent a useful input for process model validation.

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ALESI, NICOLA. "Osteoclast-specific Tsc2 deletion in mice increases bone mass: a model for the study of sclerotic bone lesions in Tuberous Sclerosis." Doctoral thesis, Università Politecnica delle Marche, 2017. http://hdl.handle.net/11566/245595.

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La maggior parte dei pazienti affetti da Sclerosi Tuberosa mostra lesioni ossee di tipo sclerotico, la cui patogenesi e’ sconosciuta. Le lesioni sclerotiche potrebbero rappresentare un eccessivo e focale accumulo di osso. Lo scheletro e’ continuamente rimodellato dall’azione di osteoblasti, le cellule che producono tessuto osseo e osteoclasti (OC), che lo degradano. Evidenze dimostrano che la perdita di TSC1 o TSC2 negli osteoblasti ha effetto negativo nella maturazione dello scheletro, ma la funzione del complesso TSC1-TSC2 negli OC non e’ noto. Per identificare il ruolo di TSC2 negli OC abbiamo incrociato un topo CtskCRE, in cui Cre e’ espresso negli OC, con un topo Tsc2fl/fl per generare un topo CtskCre; Tsc2fl/fl ora in avanti chiamato Tsc2ΔOC. I topi Tsc2ΔOC maschi presentano un incremento di 3 volte della quantita’ di osso trabecolare a 9 mesi di eta’ (p< 0.01), cosi’ come dello spessore della corticale ossea (1.5 volte, p<0.05). Caratteristiche simili sono osservate a 3 mesi di eta’. Come pronosticato, gli OC derivati da topi Tsc2ΔOC hanno elevazione di mTORC1 ma presentano una normale maturazione ed una normale attivita’ secretoria in vitro. Per studiare la funzione degli OC in vivo, abbiamo misurato i livelli sierici di CTX1, un marker della loro attivita’, trovandolo normale sia nei topi maschi che nelle femmine a 3 mesi di eta’, normale nelle femmine a 9 mesi di eta’ ed aumentato nei maschi a 9 mesi di eta’. La concentrazione sierica di P1NP, un marker di attivita’ degli osteoblasti e’ stata trovata elevata in tutti i gruppi considerati. Gli OC aumentano l’attivita’ degli osteoblasti mediante la secrezione di clastochine, un meccanismo chiamato coupling. L’ RNA messaggero di CTHRC1 (una clastochina) e’ aumentato di 11 volte (p<0.001) nei femori di topi Tsc2ΔOC a 3 mesi cosi come a 9 mesi di eta’. Il nostro modello suggerisce che la perdita di TSC2 negli OC possa stimolare gli osteoblasti a produrre osso tramite la mTORC1 dipendente secrezione di CTHRC1.
The majority of TSC patients have sclerotic bone lesions, the pathogenesis of which is unknown. Sclerotic lesions may represent focal accumulation of excess bone. Normal bone is continuously remodeled by the actions of bone forming osteoblasts and bone resorbing osteoclasts (OC). A growing body of evidence suggests that loss of TSC1 or TSC2 in osteoblasts impacts normal skeletal growth, but the function of the TSC protein complex in OC is unknown. To examine the impact of the TSC2 protein in OC, we crossed the Cathepsin K-Cre (Ctsk-Cre) mice, where Cre is expressed in OC, with Tsc2fl/fl mice to generate CtskCre; Tsc2fl/fl mice, subsequently denoted as Tsc2ΔOC. Tsc2ΔOC male mice have strikingly elevated trabecular bone mass at 9 months of age (~3-fold increase, p<0.01) as well as increased cortical thickness (1.5-fold, p<0.05). Similar characteristics were observed at 3 months of age. As expected, OCs from Tsc2ΔOC mice had increased mTORC1 activity, consistent with the loss of TSC2, however they show normal maturation and secretory function in vitro. To assess OC function in vivo, we measured serum levels of the degradation products of C-terminal telopeptide of type I collagen (CTX-I), an established bone resorption marker. CTX-I was found normal in male and females at 3 months of age and in 9 months old female; slightly elevated in male at 9 month of age meaning OCs are not responsible for the phenotype. The serum concentration of procollagen type I N propeptide (P1NP), a marker of osteoblast activity, was elevated in Tsc2ΔOCmice in both sex at 3 and 9 months of age. OCs increase osteoblast activity through the secretion of Clastokines, a mechanism called coupling. CTHRC1 (a clastokine) mRNA was found increased (11 fold, p< 0.001) in the femurs of 3 months old Tsc2ΔOC mice, as well as at 9 months old. Our model suggests that loss of Tsc2 in OCs may stimulate osteoblastic bone formation through the mTORC1 dependent secretion of CTHRC1.

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Kawabata, Daisuke. "Ameliorative effects of follistatin-related protein/TSC-36/FSTL1 on joint inflammation in a mouse model of arthritis." Kyoto University, 2004. http://hdl.handle.net/2433/148269.

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Chiaramonte, E. "ALTERAZIONI ISTOPATOLOGICHE INDOTTE DA CELLULE UMANE LAM/TSC IN TOPI NUDI: UN MODELLO DI LINFANGIOLEIOMIOMATOSI. REVERSIONE DEL DANNO CON ANTICORPO ANTI-EGFR." Doctoral thesis, Università degli Studi di Milano, 2012. http://hdl.handle.net/2434/171330.

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LAM is a rare and progressive disease characterized by widespread proliferation of abnormal smooth muscle-like cells (LAM cells). LAM cells cause cystic destruction of lung parenchyma, abdominal tumours (angiomyolipoma, AML) and infiltration of axial lymphatics in torax and abdomen (adenopathy and lymphangioleiomyoma). LAM occurs sporadically or in association with tuberous sclerosis complex (TSC), an inherited disorder with variable penetrance, which results from mutations in TSC1 or TSC2 genes. TSC1 or TSC2 genes, encoding hamartin and tuberin respectively, regulate mammalian target of rapamycin (mTOR). LAM affects primarly women of child-bearing age and the mechanisms causing the disease are not yet clarified. To explain the multisystemic clinical manifestations of LAM an experimental model is needed to study the pathological mechanism causing LAM. It may help to explain how LAM cells migrate from tissue to tissue and to develop a pharmacological approach. We recently isolated and characterized α-actin positive smooth muscle cells from chylous of a patient affected by LAM/TSC (LAM/TSC cells). These circulating cells showed reactivity to HMB45 and CD44v6 antibodies, markers of TSC and LAM, and bear a germline TSC2 mutation in exon 21. Like TSC2 smooth muscle cells previously isolated (TSC2-/- and TSC2-/meth ASM cells), LAM/TSC cells from chylous required epidermal growth factor (EGF) to proliferate and the blockade of EGF receptor (EGFR) caused progressive cell death. To better study LAM pathogenesis we developed a procedure for a quick invasion of the respiratory system by endonasally administrating LAM/TSC cells. LAM/TSC cells were administrated in immunodeficient female nude mice (nu/nu Hsd: athymic nude mice, 3 weeks old) and after 26 weeks anti-EGFR antibody and rapamycin were intraperitoneally injected 2 times a week for 4 weeks. 30 weeks after endonasal administration LAM/TSC cells were detected in lungs, lymph nodes and uterus. In lung parenchyma, LAM/TSC cells proliferated and caused cystic destruction with emphysematous-like picture such as in LAM patient lungs. This lesion and the proliferating rate were reverted by anti-EGFR antibody, while rapamycin was less effective and caused hemoptysis. In lungs blood vessel number was increased and, using LYVE-1 antibody, a significant increase of lymphatic vessel density (LVD) was observed in animals that received LAM/TSC cells suggesting a possible correlation between LAM/TSC cells and lymphangiogenesis. LVD decreased following anti-EGFR antibody and rapamycin treatments. When treatments were stopped, hemoptysis caused by rapamycin was reverted. Anti-EGFR antibody was more effective than rapamycin in reducing lung injury caused by LAM/TSC cells administration and in decreasing lymphangiogenesis. In some lung parenchyma noduli were detected. Such in lungs of LAM patients they were positive to human COX IV, ER, PR and phosphoS6. In lymph nodes, LAM/TSC cells promoted a lymphatic vessel invasion, as showed by PROX-1-reactivity. Anti-EGFR antibody and rapamycin treatments decreased lymphatic vessels. Differently from lungs, blood vessels in lymph nodes were not altered after LAM/TSC cells administration, as shown by CD31 immunoreactivity. LAM/TSC cells were also detected in uteri where they promoted a significant increase of cells with high levels of estrogen (ER) and progesterone receptors (PR). In uteri afterLAM/TSC cells administration the morphological structure was unchanged. Pharmacological treatments decreased ER and PR expressions. Our data show that endonasal administration of cells isolated from chylous of LAM/TSC patient developed a mouse LAM model. LAM/TSC cells invaded lungs, lymph nodes and uteri causing LAM-like lesions. Anti-EGFR antibody is more effective than rapamycin in promoting lung restauration and reducing lymphangiogenesis; its efficacy persists also when treatment is stopped. These data suggest that anti-EGFR antibody treatment may represent a useful pharmacological approach for LAM therapy.

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Tse, Oliver [Verfasser]. "SPn-systems in Radiative Heat Transfer and Natural Convection-Radiation Models: Parameter Identification and Optimal Control / Oliver Tse." München : Verlag Dr. Hut, 2011. http://d-nb.info/101560496X/34.

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MODA, FABIO. "Engineered adeno associated-viruses expressing anti-prp molecules and polyelectrolyte gold nanoparticles as new therapeutic strategies for prion diseases in mouse models." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/19196.

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The prion diseases are neurodegenerative disorders of humans and animals that are sporadic or inherited in origin and can be transmitted. Despite remarkable differences in phenotypic expression, these disorders share a similar pathogenic mechanism, i.e. a posttranslational modification of the prion protein from a normal cellular isoform (PrPC) to insoluble and protease-resistant disease-specific species (termed PrPSc). PrPSc accumulates in the brain and, according to prion hypothesis, is responsible for the propagation of the pathologic process and transmissibility of the disease, by converting PrPC into a likeness of itself. In a model of prion replication, direct interaction between PrPSc template and the endogenous PrPC is proposed to drive the formation of nascent infectious prions. For these reasons therapies to prevent prion diseases can be targeted towards the selective binding of PrPC or PrPSc and the process of conversion. Many compounds have been proposed as potential therapies in the treatment of prion diseases. With the development of novel gene delivery system and nanomedicine, it has been possible to design innovative in vitro therapies effective in cure chronically prion infected cells. ScFvD18, an antibody fragment composed by the variable regions of the heavy and light chains, already resulted in efficient clearing PrPSc in prion infected cells. Fo this reason, ScFvD18 was engineered in Adeno-Associated Viral vectors (AAVs) serotype 9 (AAV9-ScFvD18) and inoculated into the brain of prion infected mice to assess its effectiveness in modify disease progression. Also polyelectrolyte covered gold nanoparticles (AuNPs) are excellent therapeutic compounds due to the intrinsic properties as being non-toxic, inert to most chemical reactions and easy to prepare. In vitro experiments showed that even picomolar amount of AuNPs with layer-wise deposition of oppositely charged synthetic polyelectrolytes, such as polyallylamine hydrochloride (PAH)and polystyrenesulfonate (PSS), were able to hamper the accumulation of PrPSc in cell culture. The efficacy of these nanogold particles was further assessed in prion infected mice.

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Mikwar, Abulaziz. "Modeling of Hybrid STATCOM in PSSE." Thesis, KTH, Elkraftteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-217118.

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Flexible AC Transmission Systems (FACTS) have the ability of voltage supportand increase transmission capacity. In order to specify a FACTS devicethat is performing according to expectations in a network, a set of studiesand network analyses must be performed. Part of these studies are done usingpower system analysis programs such as PSS®E, which is a planning toolsimulating large power systems in phasor domain using RMS values. Theseplanning tools are used for evaluating stability and reinforcement needs ina power system. The results play a vital role in investment decisions inthe power system. FACTS devices are modeled in PSS®E using a programminglanguage called FORTRAN. It is important to model FACTS devicesaccurately to avoid misleading results. In this Master thesis, STATCOMand Hybrid-STATCOM models are proposed and programmed accordingto ABB’s control strategy. The models are tested in PSS®E and verifiedagainst detailed models in PSCAD. Also, the models are compared againstother industry wide spread generic models.
System inom produktgruppen FACTS (Flexible AC Transmission Systems)har m¨ojligheten att st¨odja sp¨anning och h¨oja ¨overf¨oringskapacitet p°a existerandeledningar. F¨or att kunna specificera en FACTS-anl¨aggning sombeter sig som f¨orv¨antat i ett eln¨at beh¨ovs ett antal studier och n¨atanalyserutf¨oras. Delar av dessa studier ¨ar gjorda genom att anv¨anda verktyg f¨orkraftsystemanalys som t.ex. PSS®E, som ¨ar ett verktyg f¨or n¨atplaneringd¨ar fasvektorer och RMS-v¨arden anv¨ands i ber¨akningarna. Dessa verktyganv¨ands f¨or att evaluera stabilitet och utbyggnadsbehov i eln¨atet. Resultatenfr°an verktygen spelar en vital roll i investeringsbeslut i ett eln¨at.FACTS-system modelleras i PSS®E med hj¨alp av programmeringsspr°aketFORTRAN. Det ¨ar viktigt att anv¨anda korrekta modeller f¨or att undvikamissledande resultat. I denna Master-uppsats f¨oresl°as och utvecklasSTATCOM och Hybrid-STATCOM modeller i enlighet med ABBs kontrollstrategi.Modellerna testas i PSS®E och verifieras mot detaljerade modelleri PSCAD. Modellerna j¨amf¨ors ¨aven mot andra generiska modeller som ¨araccepterade och spridda ¨over branschen i stort.

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Baba, Ibrahim El. "Contributions numériques en compatibilité électromagnétique impulsionnelle. Paradigme pour la caractérisation temporelle d'équipements." Thesis, Clermont-Ferrand 2, 2012. http://www.theses.fr/2012CLF22232/document.

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Le travail présenté dans cette thèse concerne la mise en oeuvre numérique de techniques temporelles pour des applications en compatibilité électromagnétique (CEM) impulsionnelle, essentiellement pour des études en chambre réverbérante à brassage de modes (CRBM). Prenant le contre-pied des approches fréquentielles, adaptées par nature aux études de cavités résonantes, l’idée directrice de ce mémoire a été d’étudier des moyens temporels originaux d’investigation de CRBM en vue de proposer de nouveaux paradigmes pour la caractérisation d’équipements. Originellement développé en acoustique, le processus de retournement temporel (RT) récemment appliqué aux ondes électromagnétiques permet une focalisation spatiale et temporelle de ces dernières d’autant meilleur que le milieu de propagation est réverbérant. Les chambres réverbérantes (CR) sont ainsi des endroits idéaux pour l’application du processus de RT. Après une nécessaire étude des nombreux paramètres qui gouvernent ce dernier couplée à la définition de méthodologies numériques spécifiques, les applications du RT en CRBM sont exposées. En particulier, l’intérêt d’une focalisation sélective pour des tests en susceptibilité rayonnée est démontré. L’importance des coefficients d’absorption et de diffraction des équipements en CRBM justifie leur caractérisation précise et efficace. À cette fin, la mise en oeuvre d’un calcul temporel de section efficace totale de diffraction (TSCS en anglais) est détaillée. L’application de cette nouvelle technique à différentes formes de brasseurs de modes permet au final de confronter ces résultats avec ceux obtenus à l’aide de tests normatifs CEM
The work presented in this thesis concerns the use of time techniques for impulsive ElectroMagnetic Compatibility (EMC) applications, mainly for Modes Stirred Reverberation Chamber (MSRC) studies. Contrary to approaches from frequency domain, obviously well-fitted for studies in resonant cavities, the main idea of this thesis was to study an original time method for MSRC investigation to propose new paradigms for equipment characterization. Originally developed in acoustics, the Time Reversal (TR) process recently applied to electromagnetic waves allows focusing it both in time and space. The process quality is even higher if the propagation environment is reverberant. Thus, the Reverberation Chambers (RC) are an ideal locations for TR implementation. After a study of parameters involved in the TR process coupled with the definition of specific numerical methods, the applications of TR in MSRC are exposed. In particular, the interest of selective focusing for radiated susceptibility tests is demonstrated. The importance of absorption and diffraction coefficients for MSRC equipment justifies their accurate and efficient characterization. To this end, the implementation of a temporal calculation of the Total Scattering Cross Section (TSCS) in RC is detailed. The application of this new technique to different forms of stirrers allows finally to face these results with those obtained from standard EMC test

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Jayawardena, Nirodha Imali. "Essays on Stock Market Volatility using High-Frequency Data: The Role of Overnight Information." Thesis, Griffith University, 2017. http://hdl.handle.net/10072/367621.

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“Does overnight information play an important role in predicting daytime volatility in the financial markets?” This is an unresolved question in the literature on financial volatility. Due to the global integration of financial markets, the need for market efficiency is becoming more pronounced. More specifically, the need to account for information on the overnight or non-trading period is even more pertinent in contexts such as the Australian Stock Exchange (ASX) and the Tokyo Stock Exchange (TSE), because their geographical proximity means that they are outside the trading hours of major global markets such as the New York Stock Exchange (NYSE) and the London Stock Exchange (LSE). Thus, when a new business day dawns, much pertinent information is waiting to impact price developments.
Thesis (PhD Doctorate)
Doctor of Philosophy (PhD)
Griffith Business School
Griffith Business School
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El, Baba Ibrahim. "Contributions numériques en compatibilité électromagnétique impulsionnelle. Paradigme pour la caractérisation temporelle d'équipements." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2012. http://tel.archives-ouvertes.fr/tel-00720219.

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Books on the topic "TSCE Model"

Tse-Chin, Woo, and Rajagopal K. R, eds. Recent advances in elasticity, viscoelasticity, and inelasticity: Festschrift volume for Prof. Tse-Chien Woo on the occasion of his seventieth birthday. Singapore: World Scientific, 1995.

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Dixon, Bradley P., J. Christopher Kingswood, and John J. Bissler. Tuberous sclerosis complex renal disease. Edited by Neil Turner. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199592548.003.0330.

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Tuberous sclerosis complex (TSC) is an autosomal dominant genetic disorder affecting almost all organs. It has wider phenotypic variation than often appreciated, with less than half showing the combination of characteristic facial angiofibromas, epilepsy, and mental retardation. Renal angiomyolipomata or cysts are found in 90% and renal failure was historically a common mode of adult death from the disease. Pulmonary lymphangioleiomyomatosis is restricted to females. Angiomyolipomata or cystic disease, or both, may cause renal failure. Angiomyolipomata may also haemorrhage, especially from larger lesions. Manifestations of brain involvement substantially complicate management of many patients with TSC. The causative genes TSC1 and TSC2 encode tuberin and hamartin which are involved in control of the mammalian target of rapamycin pathway. Inhibitors of that pathway, such as sirolimus and everolimus, are therefore logical approaches to therapy and have been shown to be effective in reducing angiomyolipomata volume. It remains to be seen whether they can protect renal function.

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Beck, Nathaniel. Time‐Series Cross‐Section Methods. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0020.

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This article outlines the literature on time-series cross-sectional (TSCS) methods. First, it addresses time-series properties including issues of nonstationarity. It moves to cross-sectional issues including heteroskedasticity and spatial autocorrelation. The ways that TSCS methods deal with heterogeneous units through fixed effects and random coefficient models are shown. In addition, a discussion of binary variables and their relationship to event history models is provided. The best way to think about modeling single time series is to think about modeling the time-series component of TSCS data. On the cross-sectional side, the best approach is one based on thinking about cross-sectional issues like a spatial econometrician. In general, the critical insight is that TSCS and binary TSCS data present a series of interesting issues that must be carefully considered, and not a standard set of nuisances that can be dealt with by a command in some statistical package.

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Li, Y. Y., and J. F. Jia. Topological Superconductors and Majorana Fermions. Edited by A. V. Narlikar. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780198738169.013.6.

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This article discusses recent developments relating to the so-called topological superconductors (TSCs), which have a full pairing gap in the bulk and gapless surface states consisting of Majorana fermions (MFs). It first provides a background on topological superconductivity as a novel quantum state of matter before turning to topological insulators (TIs) and superconducting heterostructures, with particular emphasis on the vortices of such materials and the Majorana mode within a vortex. It also considers proposals for realizing TSCs by proximity effects through TI/SC heterostructures as well as experimental efforts to fabricate artificial TSCs using nanowires, superconducting junctions, and ferromagnetic atomic chains on superconductors.

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Book chapters on the topic "TSCE Model"

Ortega, Marcelo René Mina, José Alí Moncada Rangel, Ítala María Paredes Chacín, and Jorge Iván Mina Ortega. "Teacher Training Model in Consumer Education: A Proposal for Ecuadorian Primary Education." In Technology, Sustainability and Educational Innovation (TSIE), 1–9. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37221-7_1.

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Hino, O., T. Fukuda, N. Satake, T. Kobayashi, S. Honda, K. Orimoto, Y. Yamashita, and Y. Kikuchi. "TSC2 Gene Mutant (Eker) Rat Model of a Mendelian Dominantly Inherited Cancer." In Animal Models of Cancer Predisposition Syndromes, 95–108. Basel: KARGER, 1999. http://dx.doi.org/10.1159/000062006.

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da Silva, José Carlos, and Flávio Assis. "Convergecast in a TSCH Network Under a Physical Interference Model." In Ad-Hoc, Mobile, and Wireless Networks, 77–89. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-31831-4_6.

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Soto, Jose, and Saba Infante. "Ensemble Kalman Filter and Extended Kalman Filter for State-Parameter Dual Estimation in Mixed Effects Models Defined by a Stochastic Differential Equation." In Technology, Sustainability and Educational Innovation (TSIE), 285–300. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-37221-7_24.

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Nie, Duyu, and Mustafa Sahin. "A Genetic Model to Dissect the Role of Tsc-mTORC1 in Neuronal Cultures." In Methods in Molecular Biology, 393–405. Totowa, NJ: Humana Press, 2011. http://dx.doi.org/10.1007/978-1-61779-430-8_25.

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Liu, Zheng, and Hao Wang. "Research on Process Diagnosis of Severe Accidents Based on Deep Learning and Probabilistic Safety Analysis." In Springer Proceedings in Physics, 624–34. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-1023-6_54.

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AbstractSevere accident process diagnosis provides data basis for severe accident prognosis, positive and negative effect evaluation of Severe Accident Management Guidelines (SAMGs), especially to quickly diagnose Plant Damage State (PDS) for operators in the main control room or personnel in the Technical Support Center (TSC) based on historic data of the limited number of instruments during the operation transition from Emergency Operation Procedures (EOPs) to SAMGs. This diagnosis methodology is based on tens of thousands of simulations of severe accidents using the integrated analysis program MAAP. The simulation process is organized in reference to Level 1 Probabilistic Safety Analysis (L1 PSA) and EOPs. According to L1 PSA, the initial event of accidents and scenarios from the initial event to core damage are presented in Event Trees (ET), which include operator actions following up EOPs. During simulation, the time uncertainty of operations in scenarios is considered. Besides the big data collection of simulations, a deep learning algorithm, Convolutional Neural Network (CNN), has been used in this severe accident diagnosis methodology, to diagnose the type of severe accident initiation event, the breach size, breach location, and occurrence time of the initial event of LOCA, and action time by operators following up EOPs intending to take Nuclear Power Plant (NPP) back to safety state. These algorithms train classification and regression models with ET-based numerical simulations, such as the classification model of sequence number, break location, and regression model of the break size and occurrence time of initial event MBLOCA. Then these trained models take advantage of historic data from instruments in NPP to generate a diagnosis conclusion, which is automatically written into an input deck file of MAAP. This input deck originated from previous traceback efforts and provides a numerical analysis basis for predicting the follow-up process of a severe accident, which is conducive to severe accident management. Results of this paper show a theoretical possibility that under limited available instruments, this traceback and diagnosis method can automatically and quickly diagnose PDS when operation transit from EOPs to SAMGs and provide numerical analysis basis for severe accident process prognosis.

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Howard, Roger. "The Clash of Models." In Mao Tse-Tung and the Chinese People, 298–308. Routledge, 2018. http://dx.doi.org/10.4324/9780429440106-10.

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"MUERTE DE MAO TSE TUNG:." In EL MODELO EMPRESARIAL DE LA CHINA DEL SIGLO XXI: Resultado de las megaescalas de producción y la disciplina del ‘León Asiático’, 15–24. Universidad Piloto de Colombia, 2015. http://dx.doi.org/10.2307/j.ctv2cw0tk7.5.

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Preston, John. "The total social cost (TSC) of public transport modes." In Handbook of Public Transport Research, 156–71. Edward Elgar Publishing, 2021. http://dx.doi.org/10.4337/9781788978668.00016.

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Lahmiri, Salim. "Prediction of International Stock Markets Based on Hybrid Intelligent Systems." In Handbook of Research on Innovations in Information Retrieval, Analysis, and Management, 110–24. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8833-9.ch004.

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This paper compares the accuracy of three hybrid intelligent systems in forecasting ten international stock market indices; namely the CAC40, DAX, FTSE, Hang Seng, KOSPI, NASDAQ, NIKKEI, S&P500, Taiwan stock market price index, and the Canadian TSE. In particular, genetic algorithms (GA) are used to optimize the topology and parameters of the adaptive time delay neural networks (ATNN) and the time delay neural networks (TDNN). The third intelligent system is the adaptive neuro-fuzzy inference system (ANFIS) that basically integrates fuzzy logic into the artificial neural network (ANN) to better model information and explain decision making process. Based on out-of-sample simulation results, it was found that contrary to the literature GA-TDNN significantly outperforms GA-ATDNN. In addition, ANFIS was found to be more effective in forecasting CAC40, FTSE, Hang Seng, NIKKEI, Taiwan, and TSE price level. In contrary, GA-TDNN and GA-ATDNN were found to be superior to ANFIS in predicting DAX, KOSPI, and NASDAQ future prices.

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Conference papers on the topic "TSCE Model"

Liu, Ming, Yong-Yi Wang, David Horsley, and Steve Nanney. "Multi-Tier Tensile Strain Models for Strain-Based Design: Part 3 — Model Evaluation Against Experimental Data." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90660.

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This is the third paper in a three-paper series related to the development of tensile strain models. The fundamental basis [1] and formulation [2] of the models are presented in two companion papers. This paper covers the evaluation of the models against large-scale experimental data which include a total of 24 full-scale pipe tests with and without internal pressure [3,4] and 30 curved wide plate (CWP) tests [5,6]. The 24 full-scale pipe specimens are nominally X65 grade (12.75″ OD and 12.7-mm wall thickness) and made by two manufacturers. The actual yield strength of the two pipes differs by approximately 14 ksi. The girth welds are made with three welding procedures, creating three weld strength levels. The full-scale test program are designed to evaluate the effects of internal pressure, weld strength mismatch, pipe strength, pipe Y/T ratio, flaw location, flaw size, and toughness. The 30 CWP specimens are from 36″ OD and 19.1 mm wall thickness X100 pipes. The girth welds are made with two welding procedures, creating two slightly different weld strength mismatch levels. The CWP test specimens expand the range of material grade and wall thickness for the model evaluation. The model evaluation demonstrates that the overall correlations between the experimental test data and model predations are similar when the model predictions are made with Level 2 and 3 procedures and various toughness options. The Level 2 procedure with Charpy energy option and Level 3b provide the best overall one-to-one correlation between the test data and model prediction. The Level 3b shows greater scatter than Level 2 with the Charpy energy option. The most significant contributor to the TSC variations and the difference between the measured and predicted TSCs is the strength variation in the pipes. A small variation in the strength can lead to a large variation of the measured remote strain even when the flaw behavior is essentially the same. For the 24 full-scale pipe tests, a strength variation of 1 ksi in the pipes would explain the large variations of the measured TSC in comparison to the model predictions. The TSC models produce consistent results that capture the overall trend of the test data.

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Alves, Renan C. A., and Cintia B. Margi. "IEEE 802.15.4e TSCH Mode Performance Analysis." In 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems (MASS). IEEE, 2016. http://dx.doi.org/10.1109/mass.2016.054.

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Van Boven, G., R. Sutherby, and F. King. "Characterizing Pressure Fluctuations on Buried Pipelines in Terms Relevant to Stress Corrosion Cracking." In 2002 4th International Pipeline Conference. ASMEDC, 2002. http://dx.doi.org/10.1115/ipc2002-27149.

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Pressure records for high pressure hydrocarbon pipelines that have previously shown to have occurrences of trans-granular stress corrosion cracking (tSCC) were supplied by ten Canadian Energy Pipeline Association (CEPA) member companies. These pressure records were analyzed by performing six methods of pressure cycle counting described in the ASTM standard E1049-85. A comparison was made of the magnitude and frequency of these counted pressure cycles at compressor/pump discharge and suction locations as well as intermediate locations along the pipeline. An attempt to relate the derived pressure cycles to tSCC growth was made by applying previously published “superposition” type cumulative damage models in calculating tSCC growth rates. Information about the relative importance of fatigue growth in the total tSCC lifecycle as well as the ability to distinguish tSCC susceptible areas on a pipeline based on differences in pressure cycles was gained. Characteristic pressure cycle spectra were developed from the supplied pressure data which describes the different modes of pipeline operation including liquid or gas hydrocarbon transportation as well as mainline or lateral operation which may be of use in further research efforts in this area.

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Fairchild, Douglas P., Justin M. Crapps, Wentao Cheng, Huang Tang, and Svetlana Shafrova. "Full-Scale Pipe Strain Test Quality and Safety Factor Determination for Strain-Based Engineering Critical Assessment." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64191.

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Generating a tensile strain capacity (TSC) prediction model is a difficult challenge in applied mechanics. Because current models are relatively new and extensive strain-based design (SBD) pipeline service experience does not exist, rigorous model validation using full-scale tests (FSTs) is paramount. The lessons learned from 159 FSTs were presented previously and the data base has grown to 173 tests. This data base is used to assess the accuracy of a relatively new TSC prediction model. The new model simulates a single, surface breaking weld flaw; however, some of the FSTs contained interacting or embedded flaws or unintentional weld defects, while others failed by brittle fracture, and still others experienced welding problems rendering them unsuitable for model validation. Of 173 tests, a smaller number (122, 101, or 89 depending on the goal) is used for comparison to the new model. This paper describes (1) the importance of reliable FSTs, (2) how the 173 tests were judged for suitability in model accuracy assessment, and (3) the use of the FST data to develop a safety factor for strain-based engineering critical assessment (SBECA). The safety factor is generated from a 95% upper confidence limit on the ratio of predicted-to-measured TSC. The safety factor is 1.88. Using the new model and this safety factor, a TSC prediction equation is provided for use in SBECA. The practical meaning of this is that if either TSC or tolerable defect size is calculated using the new model, then the probability of being non-conservative is estimated to be 5%.

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Tang, Huang, Doug Fairchild, Michele Panico, Justin Crapps, and Wentao Cheng. "Strain Capacity Prediction of Strain-Based Pipelines." In 2014 10th International Pipeline Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/ipc2014-33749.

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Strain-based design (SBD) is used to complement conventional allowable stress design for pipelines operated in environments with potentially large ground movements such as those found in permafrost and seismically active regions. Reliable and accurate prediction of tensile strain capacity (TSC) plays a critical role in strain-based design. As reported previously over the past 6+ years, a comprehensive experimental and numerical program was undertaken to characterize the TSC of welded pipelines, develop a finite element analysis (FEA) approach and equations capable of predicting TSC, and establish a strain-based engineering critical assessment (SBECA) methodology. The previous FEA model and TSC equations were validated against about 50 full-scale pipe strain capacity tests and are accurate within the validated variable ranges. In the current paper, enhancements of the previous model and equations are described. The enhancements include incorporation of advanced damage mechanics modeling into TSC prediction, development of a new TSC equation, expansion of variable ranges and functionality upgrades. The new model and equation are applicable over larger ranges of material properties and flaw sizes. The new FEA model is also used to establish surface flaw interaction rules for SBD. The new FEA model is validated against more than 40 full-scale non-pressurized and pressurized tests and underpins the development of the new TSC equation. The equation is validated against a total of 93 full-scale tests (FST). In addition to the enhancements, sample applications of the TSC model and equation are presented in the paper, for example, an investigation of the effects on strain capacity of Lüders strain and ductile tearing. Challenges in predicting TSC are also addressed.

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Ye, Yutong, Yingbo Zhou, Jiepin Ding, Ting Wang, Mingsong Chen, and Xiang Lian. "InitLight: Initial Model Generation for Traffic Signal Control Using Adversarial Inverse Reinforcement Learning." In Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/550.

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Due to repetitive trial-and-error style interactions between agents and a fixed traffic environment during the policy learning, existing Reinforcement Learning (RL)-based Traffic Signal Control (TSC) methods greatly suffer from long RL training time and poor adaptability of RL agents to other complex traffic environments. To address these problems, we propose a novel Adversarial Inverse Reinforcement Learning (AIRL)-based pre-training method named InitLight, which enables effective initial model generation for TSC agents. Unlike traditional RL-based TSC approaches that train a large number of agents simultaneously for a specific multi-intersection environment, InitLight pre-trains only one single initial model based on multiple single-intersection environments together with their expert trajectories. Since the reward function learned by InitLight can recover ground-truth TSC rewards for different intersections at optimality, the pre-trained agent can be deployed at intersections of any traffic environments as initial models to accelerate subsequent overall global RL training. Comprehensive experimental results show that, the initial model generated by InitLight can not only significantly accelerate the convergence with much fewer episodes, but also own superior generalization ability to accommodate various kinds of complex traffic environments.

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Park, Dong-Yeob, and James A. Gianetto. "Review of Tensile Strain Capacity Prediction Models for Strain-Based Design of Pipelines." In ASME 2019 Pressure Vessels & Piping Conference. American Society of Mechanical Engineers, 2019. http://dx.doi.org/10.1115/pvp2019-93220.

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Abstract In this paper, three tenile strain capacity (TSC) prediction models developed for strain-based design (SBD) of girth-welded pipelines were reviewed, together with a brief introduction of technical backgrounds of their development. Most TSC models rely on small-scale mechanical and fracture toughness measurements to estimate the TSC of pipelines. Hence, we surveyed published experimental and computational data to examine the transferability of small-scale fracture toughness measurements to large-scale pipe fractures. Lastly, some gaps and issues that were found from the review are proposed for improvement of TSC models for SBD. The critical issues found with current TSC models and SBD are (a) differences in strain measurement for full-scale pipe tests/simulations, (b) multiple crack tip opening displacement (CTOD) definitions, (c) no application of J-integral as a toughness parameter, (d) no consensus on failure criteria, and (e) inconsideration of thermal and natural strain aging effects.

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Wilbanks, J. Justin, and Michael J. Leamy. "Uncertain Parameter Estimation Approaches for Increasing the Effectiveness of Command-Shaped Engine Restart Strategies." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67548.

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This paper develops recursive least-squares (RLS) and extended Kalman filtering (EKF) approaches for estimating uncertain engine friction (and other) parameters necessary for successful implementation of a two-scale command shaping (TSCS) engine restart strategy. The TSCS strategy has been developed for mitigating vibrations in conventional and hybrid electric vehicle (HEV) powertrains during internal combustion engine (ICE) restart. Implementing the TSCS strategy increases the drivability of a HEV by reducing noise, vibration, and harshness (NVH) issues associated with ICE restart during a powertrain mode transition. This is accomplished primarily, by modifying the electric machine (EM) torque profile with linear and time-varying components over multiple time scales. For full implementation, the TSCS strategy requires input parameters characterizing the ICE which may be a) difficult to quantify, and/or b) uncertain due to their dependence on engine operating temperature and other environmental considerations. RLS and EKF algorithms tailored to TSCS are presented herein for estimating these parameters. It is shown that both the RLS and EKF algorithms can be used to estimate the necessary ICE parameters and increase effectiveness of the TSCS strategy. The EKF algorithm, in particular, estimates uncertain ICE parameters with minimal measurement requirements, giving it an advantage over the presented RLS algorithm.

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Wang, Bo, Banglin Liu, Yong-Yi Wang, and Otto Jan Huising. "Estimation of Tensile Strain Capacity of Vintage Girth Welds." In 2020 13th International Pipeline Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/ipc2020-9664.

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Abstract Being able to estimate the tensile strain capacity (TSC) of vintage girth welds is sometimes necessary for the integrity management of vintage pipelines. Assessing girth weld integrity could be a top priority after a confirmed ground movement event. Decisions may also be needed about the disposition of a girth weld when weld anomalies are found. Typical fitness-for-service (FFS) procedures, such as API 1104 Annex A and API 579/ASME FFS-1, generally target materials under nominally elastic conditions and strain demands less than 0.2%. These procedures may produce overly conservative results when the strain demand exceeds 0.2%. This paper summarizes the development and validation of a TSC estimation tool for vintage girth welds under PRCI funding. The work consisted of three components: the development of a TSC model for vintage girth welds, the implementation of the model into a software tool, and the experimental validation of the performance of the tool using curved wide plate (CWP) tests. The TSC model was developed following the procedures established through a previous PRCI-PHMSA cofounded work. Finite element analyses (FEA) were performed to obtain a crack-driving force database while considering the salient features of vintage girth welds, such as larger weld caps and weld strength mismatch levels. The TSC model was then derived from the crack-driving force database using apparent toughness values representative of vintage girth welds. A graphical user interface (GUI) and a user manual were developed to facilitate the application of the TSC model. The software tool produces TSC estimates based on geometry, material, loading, and flaw characteristics of a girth weld. For inputs that might not have readily available values, recommended values are provided. The tool allows the evaluation of the impact of various input parameters on TSC. The performance of the TSC estimation tool was evaluated against eight purposely designed CWP tests. Accompanying small-scale material characterization tests, including chemical composition, round bar tensile, microhardness, and Charpy impact tests, were performed to provide additional inputs for the evaluation of the tool. The tool is shown to provide reasonably conservative estimates for TSC. An example problem is presented to demonstrate the application of the tool. Gaps and future work to improve the tool are highlighted at the end of the paper.

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Kharlamov, Yu A., and M. Y. Kharlamov. "A Systems Approach for Analyzing Structure-Property Relationships in Thermal Sprayed Coatings." In ITSC2004, edited by Basil R. Marple and Christian Moreau. ASM International, 2004. http://dx.doi.org/10.31399/asm.cp.itsc2004p0753.

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Abstract The short description of traditional methods of thermal sprayed coatings (TSC) structure characterization is given. The main parameters of structure and physico-mechanical properties of TSC, which influenced on their wear resistance are considered. The system approach for analyses of structure of TSC and the scheme of TSC properties prediction is proposed. The classification of structure levels of wear resistant coatings, obtained by thermal spraying, and models of their elements are proposed. The advisability of use of methods of structure-simulation modeling of TSC is shown.

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Reports on the topic "TSCE Model"

Matsumoto, Tomohiro. Fission Yeast Model Study for Dissection of TSC Pathway. Fort Belvoir, VA: Defense Technical Information Center, April 2010. http://dx.doi.org/10.21236/ada560751.

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Hammes, Stephen R., and Betty Diamond. Uterine-Specific Knockout of Tsc-2: A Mouse Model for Lymphangioleiomyomatosis. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada597787.

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Pister, K., and T. Watteyne. Minimal IPv6 over the TSCH Mode of IEEE 802.15.4e (6TiSCH) Configuration. Edited by X. Vilajosana. RFC Editor, May 2017. http://dx.doi.org/10.17487/rfc8180.

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Wang, Yong-Yi. PR-350-154501-R01 Evaluation of Girth Weld Flaws in Vintage Pipelines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), June 2019. http://dx.doi.org/10.55274/r0011600.

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Being able to estimate the tensile strain capacity (TSC) of vintage girth welds is sometimes necessary in the integrity management of vintage pipelines. For instance, assessing the girth weld integrity could be a top priority after a confirmed ground movement event. Decisions may also be needed about the disposition of a girth weld when weld anomalies are found. This project is aimed to develop a TSC estimation tool for vintage girth welds. The work includes two parts: (1) the development of a TSC estimation tool via numerical analysis and (2) the evaluation of the developed tool via experimental testing. This report covers both the development and evaluation of the TSC estimation tool. The tool was developed by taking the outcome of the case-specific TSC analysis using Level 4a procedures of the PRCI-CRES tensile strain models and considering large ranges of material and dimensional parameters. The curved wide plate (CWP) and accompanying small-scale tests were conducted to evaluate the tool. The applicability and limitations of the tool are covered in this report. The tool developed in this project has a user-friendly interface and an accompanying help manual. The tool takes user inputs, such as the geometry and material properties of pipe and weld, flaw dimensions, and pipeline pressure, and provides an estimated TSC. For the inputs that might not have readily available values, recommended values are provided. This tool allows the evaluation of the impact of various input parameters on TSC. The ability to estimate the TSC enables operators to assess the integrity of vintage girth welds, thus facilitating the prioritization of maintenance activities and reducing unnecessary remediation work.

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D'Arcangelo, Gabriella. Exploring the Interaction between TSC2, PTEN, and the NMDA Receptor in Animal Models of Tuberous Sclerosis. Fort Belvoir, VA: Defense Technical Information Center, September 2014. http://dx.doi.org/10.21236/ada610183.

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D'Arcangelo, Gabriella. Exploring the Interaction Between TSC2, PTEN, and the NMDA Receptor in Animal Models of Tuberous Sclerosis. Fort Belvoir, VA: Defense Technical Information Center, July 2013. http://dx.doi.org/10.21236/ada586644.

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Jardin, S. C., and J. A. Schmidt. TSC simulation of feedback stabilization of axisymmetric modes in tokamaks using driven halo currents. Office of Scientific and Technical Information (OSTI), March 1997. http://dx.doi.org/10.2172/304167.

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