Academic literature on the topic 'CEIMC method'

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Journal articles on the topic "CEIMC method"

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Zhang, Jian, Yaozong Pan, Ruili Wang, Yuqiang Fang, and Haitao Yang. "Multi-Agent Planning under Uncertainty with Monte Carlo Q-Value Function." Applied Sciences 9, no. 7 (2019): 1430. http://dx.doi.org/10.3390/app9071430.

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Decentralized partially observable Markov decision processes (Dec-POMDPs) are general multi-agent models for planning under uncertainty, but are intractable to solve. Doubly exponential growth of the search space as the horizon increases makes a brute-force search impossible. Heuristic methods can guide the search towards the right direction quickly and have been successful in different domains. In this paper, we propose a new Q-value function representation—Monte Carlo Q-value function , which is proved to be an upper bound of the optimal Q-value function . We introduce two Monte Carlo tree search enhancements—heavy playout for a simulation policy and adaptive samples—to speed up computation of . Then, we present a clustering and expansion with Monte-Carlo algorithm (CEMC)—an offline planning algorithm using as Q-value function, which is based on the generalized multi-agent A* with incremental clustering and expansion (GMAA*-ICE or ICE). CEMC calculates Q-value functions as required, without computing and storing all Q-value functions. An extended policy pruning strategy is used in CEMC. Finally, we present empirical results demonstrating that CEMC outperforms the best heuristic algorithm with a compact Q-value presentation in term of runtime for the same horizon, and has less memory usage for larger problems.
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Hussey and McGlinn. "The Role of Academia in Reorientation Models of Care—Insights on eHealth." Informatics 6, no. 3 (2019): 37. http://dx.doi.org/10.3390/informatics6030037.

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This paper provides a summary of progress on implementation research conducted to deliver evidence-based informatics infrastructure and guidance resources to advance integrated care in Ireland. (1) Background: The International Classification for Nursing Practice (ICNP©) R&D centre has progressed with its agenda to advance informatics theory and optimise the nursing contribution within eHealth Ireland. The centre has evolved as a formal multi-disciplinary research centre in Dublin City University expanding its research activity to become the Centre for eIntegrated Care (CeIC). The mission of the CeIC is to advance eIntegrated care in order to improve health and wellbeing of citizens; (2) Methods: In this paper, CeIC offers insights into the specific approaches adopted to realise this vision using Innovation 2.0 and Open Science as an emerging paradigm and rigorous methodology to drive transformational change; (3) Conclusions; we provide here a summary of our activity and discuss our experiences to date. We present detail on our progress through three core viewpoints namely (1) the individual and stakeholder engagement; (2) the development of technology infrastructure and (3) the political process considering the academic role in advancing informatics research. Our conclusions suggest that one needs to intrinsically link all three perspectives and provide focused interactions in order to bring about sustainable change for progression of eHealth.
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Hussey, Pamela, and Subhashis Das. "A micro credential for interoperability." Open Research Europe 1 (September 15, 2021): 109. http://dx.doi.org/10.12688/openreseurope.14083.1.

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In the midst of a global pandemic the need for health and social care providers to commit to, and deliver on, integrated patient-centered care services has been accelerated. Globally, health and social care programme administrators are turning to digital devices and applications to provide supporting infrastructure which can offer safe access to health information at the point of care. Digitalisation is increasingly considered a key requirement to support diagnostics and therapeutic care services in health care delivery. The open source community are responding to this need to advance integrated care and digital services by providing targeted resources to address the interoperability challenge. Addressing interoperability in health systems is a core part of achieving sustainable enterprise wide integrated care. Using Open Innovation 2.0 methods for advancing knowledge on interoperability, this paper describes the development of a micro credential for knowledge transfer on interoperability created by the Centre for eIntegrated Care (CeIC). Designed and developed to signpost interested stakeholders to targeted material and build understanding and capacity on the topic. The design approach and initial resource content are explained through the lens of a specific research project funded by an Elite S Fellowship to advance leadership and standardisation for Information and Communications Technology (ICT) in Europe.
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MW Hasanato, Rana. "Trace elements in type 2 diabetes mellitus and their association with glycemic control." African Health Sciences 20, no. 1 (2020): 287–93. http://dx.doi.org/10.4314/ahs.v20i1.34.

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Background: Alterations in serum levels of trace elements reported in type 2 diabetes mellitus (T2DM) have been linked with induction of T2DM and associated complications.
 Objectives: To assess serum levels of copper (Cu), zinc (Zn) and selenium (Se) in T2DM patients with adequate and poor gly- cemic control.
 Patients and methods: This study was performed at King Khalid University Hospital, Riyadh. A total of 100 consenting T2DM patients comprising of 50 patients with glycated hemoglobin (HbA1c) less than 6.5% and 50 patients with HbA1c more than 6.5% along with a group of 50 normal healthy individuals were included in the study. Serum levels of Cu, Zn and Se were measured by inductively coupled plasma-mass spectrometry (ICP-MS) instrument.
 Results: Among T2DM patients with HbA1c <6.5%, mean serum Cu levels (13.4+4.3μmol/L) were not different from the controls (14.5+1.92μmol/L) whereas Zn (9.9+2.7μmol/Lvs15+3.2μmol/L;p<0.0001) and Se levels (1+0.2μmol/ Lvs1.62+0.2μmol/L; p<0.0004) were lower than the controls. Among T2DM patients with HbA1c >6.5% mean serum Cu (18.1+4.1μmol/Lvs14.5+1.9μmol/L; p<0.0001), Zn (15+3.2μmol/Lvs13.5+1.9μmol/L; p<0.009) and Se (1.62+0.2μmol/ Lvs1.17+0.16μmol/L;p<0.0001) were significantly higher than the controls. HbA1c% negatively correlated with HbA1c >6.5% (r = -0.302; p<0.03).
 Conclusion: Cu, Zn and Se homeostasis was altered in T2DM patients and varied with glycemic control.
 Keywords: Copper; Zinc; Selenium; trace elements; diabetes mellitus.
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Al-Hakeim, Hussein Kadhem, and Mohammed Saied Abdulzahra. "Correlation Between Glycated Hemoglobin and Homa Indices in Type 2 Diabetes Mellitus: Prediction of Beta-Cell Function from Glycated Hemoglobin / Korelacija Između Glikoliziranog Hemoglobina I Homa Indeksa U Dijabetes Melitusu Tipa 2: Predviđanje Funkcije Beta Ćelija Na Osnovu Glikoliziranog Hemoglobina." Journal of Medical Biochemistry 34, no. 2 (2015): 191–99. http://dx.doi.org/10.2478/jomb-2014-0033.

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Summary Background: The present study aimed to determine the most efficient insulin resistance function related to gly - cemic control expressed as glycated hemoglobin (HbA1c) in type 2 diabetes mellitus patients (T2DM). The other aim is to derive equations for the prediction of beta cell functions containing HbA1c as a parameter in addition to fasting glucose and insulin. Methods: T2DM Patients were grouped according to the following: (1) degree of control (good, fair, and poor control) and (2) insulin resistance as observed in obtained data and significant differences revealed by the homeostasis model assessment (HOMA) of related parameters (insulin resistance = HOMA2IR, beta-cell function = HOMA%B, and in sulin sensitivity = HOMA%S) among groups. Corre - lations and forecasting regression analysis were calculated. Results: HbA1c was found to be correlated with insulin resistance parameters in T2DM subgroups. This correlation was also significantly correlated with HOMA%B and the quantitative insulin sensitivity check index (QUICKI) in fair and poor control groups. Regression analysis was used to predict the forecasting equations for HOMA%B. The best applicable equations were derived for healthy control (HOMA2%B=-1.76*FBG+5.00*Insulin+4.69*HbA1c+189.84) and poor control groups (HOMA2%B=0.001* FBG+0.5*Insulin-8.67*HbA1c+101.96). These equations could be used to predict b-cell function (HOMA%B) after FBG, insulin and HbA1c values were obtained for healthy and poor control groups. In the good and fair control groups, the applicability of the HOMA model fails to yield appropriate results. Conclusions: Beta-cell function is correlated with QUICKI and HbA1c and could be predicted properly from HbA1c, insulin, and glucose in the healthy and poor control groups. New regression equations were established that involve HbA1c.
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Dygas, Robert. "Determinants of foreign direct investment outflow from India to Poland." International Journal of Management and Economics 56, no. 2 (2020): 109–17. http://dx.doi.org/10.2478/ijme-2020-0008.

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AbstractThis article concerns the determinants of foreign direct investment (FDI) outflow from India to Poland with some insights to other European countries. This topic strongly relates to globalization of foreign trade and especially new economic initiatives between European Union (EU) and India, which was one of the first countries to develop trade relations with EU. According to CEIC data – Financial Data and Economic Indicators, India’s FDI outflow increased slightly to 1.4 billion USD in September 2019 in comparison with 996.5 million USD in September 2018, but it is still below the average of 1.8 billion USD for a period of 2007–2019.Available at: https://www.ceicdata.com/en/india/foreign-direct-investment-outflow/foreign-direct-investment-outflow (accessed October 19, 2019). Very limited number of the scientific research can be found in European literature about India’s FDI outflow to EU countries in period of 2004–2019. Indian economists made some research on that topic. Professor J. Ramachandran (listed among the Best Management Thinkers for the year 2015, the first Bain Fellow in India) from Indian Institute of Management Bangalore in 2004 and Professor Jaya Prakesh Pradhan from Central University of Gujarat in 2008 explored the evolution in Indian outward FDI, referring to a shift in the pattern of overseas expansion and basis of competitiveness of Indian companies. The main goal of this article is to explain what really triggers Indian investors to go to Poland and what kind of businesses they form. Some examples of the Indian-based companies are mentioned to support the analysis. The author of this article also researched on different governmental bilateral trade agreements and initiatives, trying to find any direct impacts of that on the India FDI outflow to Poland and other EU countries. He used empirical method of the analysis based on accessible data for period 2004–2019 and literature in that topic and also direct interviews with private Indian investors who made decision to start and run their business in Poland or other EU countries. The main conclusion is that Poland the leader of Visegrad Group is an interesting investment for India and India can be for Poland a counterpart investment partner to China.
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Bueno, Beatriz Aguado, Isabel VicuÑa Andres, Laura Entrena, et al. "Preliminary Experience of the Spanish Compassionate Use Registry of Bendamustine in Patients with Relapsed and/or Refractory Multiple Myeloma." Blood 120, no. 21 (2012): 4035. http://dx.doi.org/10.1182/blood.v120.21.4035.4035.

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Abstract Abstract 4035 Introduction: Bendamustine is a dual alkylating agent with demonstrated efficacy in de novo multiple myeloma (MM) and in relapsed/refractory (R/R MM). We present the preliminary results from the experience of Spanish compassionate use registry of this agent in different treatment schedules of R/R MM, promoted by the GEM/PETHEMA Group (Benda-MMRR-11). This study has been approved by local ethical committee, CEIC, HUP, Madrid, Spain. Patients and Methods: 72 patients, 42 males and 30 females, with advanced R/R MM after several lines of previous treatment received a schedule containing Bendamustine (Levact®, Mundipharma, UK). Median age was 66 (35–86), with a median of 4 previous salvage lines (1–11). Bendamustine dose used ranged between 60 and 120 mg/m2 iv on days 1 and 2 for each 28 days cycle. The median of cycles was 2 (1–9). The combinations used were: Bendamustine + Prednisone in 27 patients, Bendamustine + Thalidomide + Prednisone in 11 cases, Bendamustine + Dexamethasone in 14 patients, Bendamustine + Bortezomib + Dexamethasone in 7 patients, Bendamustine + Bortezomib + Prednisone in 3 patients, Bendamustine + Thalidomide + Dexamethasone in 2 cases, Bendamustine monotherapy in 5 patients, Bendamustine + Thalidomide in 1 case, Bendamustine with Caelyx in 1 case and Bendamustine with Rituximab in 1 case. Results: In the 69 evaluable patients, the response was: overall response rate (ORR) 30.24%%, with complete response (CR) 11.5%, partial response (PR) 13.04%. Minimal response (MR) was 5.7%, and stable disease (SD) was 17.39%. Progression was documented in 52.1% of patients. In general, treatment was well tolerated; the most common adverse effect was hematological toxicity with grade 3–4 neutropenia in 31.8%, grade 3–4 thrombocytopenia in 30.4% and grade 3–4 anemia in 17.3%. Other toxicities included grade 3–4 infections in 27% of patients and grade 3–4 asthenia in 11.5%. Clinical results will be updated with more details regarding TTP, OS and efficacy and toxicity with each schedule. Comments: Bendamustine is an effective salvage therapy in patients with advanced R/R MM. Our results are consistent with previous published data in larger series of patients. More experience is needed with this agent to define the best combination and to assess its grade of efficacy that will be probably superior in earlier stages of myeloma evolution. Disclosures: Off Label Use: compassionate use.
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Wichapa, Narong, Amin Lawong, and Manop Donmuen. "Ranking DMUs using a novel combination method for integrating the results of relative closeness benevolent and relative closeness aggressive models." International Journal of Data and Network Science, 2021, 401–16. http://dx.doi.org/10.5267/j.ijdns.2021.5.003.

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In this paper, a novel combination method is offered to integrate the results of two new relative closeness models, called relative closeness benevolent (RCB) and relative closeness aggressive (RCA) models, for ranking all DMUs. To prove the applicability of the proposed method, it is examined in three numerical examples, performance assessment problem, six nursing homes and fourteen international passenger airlines. Firstly, RCB and RCA models were formulated in order to generate the cross-efficiency intervals matrix (CEIM). After obtaining CEIM, the RC index was utilized to generate a combined cross-efficiency matrix (combined CEM). In combined CEM, target DMUs were viewed as criteria and DMUs were viewed as alternatives. After that, the weights of each criterion were generated using a new weighting method based on standard deviation technique (MSDT). Finally, all DMUs were evaluated and ranked. Comparison with existing cross-efficiency models indicates the more reliable results through the use of the proposed method.
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Angueyra, María Florencia, Débora Natalia Marcone, Florencia Escarrá, et al. "Direct costs and clinical impact of adenovirus genotype 8 conjunctivitis outbreak in a neonatology unit." Infection Control & Hospital Epidemiology, September 9, 2020, 1–7. http://dx.doi.org/10.1017/ice.2020.404.

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Abstract Objective: To report a conjunctivitis outbreak in a neonatology intensive care unit (NICU) and determine the associated economic impact. Design: Prospective observational study. Setting: Centro de Educación Médica e Investigaciones Clínicas (CEMIC) University Hospital, a private, tertiary-care healthcare institution in Buenos Aires, Argentina. Participants: The study included 52 NICU neonates and 59 NICU-related healthcare workers (HCWs) from CEMIC hospital. Methods: Neonates and HCWs were swabbed for real-time polymerase chain reaction (PCR) testing, viral culture, and typing by sequencing. Infection control measures, structural and logistic changes were implemented. Billing records were analyzed to determine costs. Results: From January 30 to April 28, 2018, 52 neonates were hospitalized in the NICU. Among them, 14 of 52 (21%) had bilateral conjunctivitis with pseudomembranes. Symptomatic neonates and HCWs were HAdV-D8 positive. Ophthalmological symptoms had a median duration of 18 days (IQR, 13–24.5). PCR positivity and infectious range had a median duration of 18.5 days. As part of containment measures, the NICU and the high-risk pregnancy unit were closed to new patients. The NICU was divided into 2 areas for symptomatic and asymptomatic patients; a new room was assigned for the general nursery, and all deliveries from the high-risk pregnancy unit were redirected to other hospitals. The outbreak cost the hospital US$205,000: implementation of a new nursery room and extra salaries cost US$30,350 and estimated productivity loss during 1 month cost US$175,000. Conclusions: Laboratory diagnosis confirmed the cause of this outbreak as HAdV-D8. The immediate adoption and reinforcement of rigorous infection control measures limited the nosocomial viral spread. This outbreak represented a serious institutional problem, causing morbidity, significant economic loss, and absenteeism.
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Naranjo, Laura, Fernando Ostos, Francisco Javier Gil-Etayo, et al. "Presence of Extra-Criteria Antiphospholipid Antibodies Is an Independent Risk Factor for Ischemic Stroke." Frontiers in Cardiovascular Medicine 8 (May 3, 2021). http://dx.doi.org/10.3389/fcvm.2021.665741.

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Background: Ischemic stroke is the most common and severe arterial thrombotic event in Antiphospholipid syndrome (APS). APS is an autoimmune disease characterized by the presence of thrombosis and antiphospholipid antibodies (aPL), which provide a pro-coagulant state. The aPL included in the classification criteria are lupus anticoagulant, anti-cardiolipin (aCL) and anti-β2-glycoprotein-I antibodies (aB2GPI) of IgG and IgM isotypes. Extra-criteria aPL, especially IgA aB2GPI and IgG/IgM anti-phosphatidylserine/prothrombin antibodies (aPS/PT), have been strongly associated with thrombosis. However, their role in the general population suffering from stroke is unknown. We aim (1) to evaluate the aPL prevalence in ischemic stroke patients, (2) to determine the role of aPL as a risk factor for stroke, and (3) to create an easy-to-use tool to stratify the risk of ischemic stroke occurrence considering the presence of aPL and other risk factors.Materials and Methods: A cohort of 245 consecutive ischemic stroke patients was evaluated in the first 24 h after the acute event for the presence of classic aPL, extra-criteria aPL (IgA aB2GPI, IgG, and IgM aPS/PT) and conventional cardiovascular risk factors. These patients were followed-up for 2-years. A group of 121 healthy volunteers of the same age range and representative of the general population was used as reference population. The study was approved by the Ethics Committee for Clinical Research (Reference numbers CEIC-14/354 and CEIC-18/182).Results: The overall aPL prevalence in stroke patients was 28% and IgA aB2GPI were the most prevalent (20%). In the multivariant analysis, the presence of IgA aB2GPI (OR 2.40, 95% CI: 1.03–5.53), dyslipidemia (OR 1.70, 95% CI: 1.01–2.84), arterial hypertension (OR 1.82, 95% CI: 1.03–3.22), atrial fibrillation (OR 4.31, 95% CI: 1.90–9.78), and active smoking (OR 3.47, 95% CI: 1.72–6.99) were identified as independent risk factors for ischemic stroke. A risk stratification tool for stroke was created based on these factors (AUC: 0.75).Conclusions: IgA aB2GPI are an important independent risk factor for ischemic stroke. Evaluation of aPL (including extra-criteria) in cardiovascular risk factor assessment for stroke can potentially increase the identification of patients at risk of thrombotic event, facilitating a decision on preventive treatments.
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Dissertations / Theses on the topic "CEIMC method"

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Gorelov, Vitaly. "Quantum Monte Carlo methods for electronic structure calculations : application to hydrogen at extreme conditions." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASF002.

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Le problème de la métallisation de l'hydrogène, posé il y a près de 80 ans, a été désigné comme la troisième question ouverte en physique du XXIe siècle. En effet, en raison de sa légèreté et de sa réactivité, les informations expérimentales sur l'hydrogène à haute pression sont limitées et extrêmement difficiles à obtenir. Il est donc essentiel de mettre au point des méthodes précises pour guider les expériences. Dans cette thèse, nous nous concentrons sur l'étude de la structure électronique, y compris les phénomènes d'état excité, en utilisant les techniques de Monte Carlo quantique (QMC). En particulier, nous développons une nouvelle méthode de calcul pour le gap accompagnée d'un traitement précis de l'erreur induit par la taille finie de la cellule de simulation. Nous établissons un lien formel entre l'erreur de la taille finie et la constante diélectrique du matériau. Avant d'étudier l'hydrogène, la nouvelle méthode est testée sur du silicium cristallin et du carbone de diamant, pour lesquels des informations expérimentales sur l'écart sont disponibles. Nos résultats montrent que le biais dû à la supercellule de taille finie peut être corrigé, de sorte que des valeurs précises dans la limite thermodynamique peuvent être obtenues pour les petites supercellules sans avoir besoin d'une extrapolation numérique. Comme l'hydrogène est un matériau très léger, les effets quantiques nucléaires sont importants. Une description précise des effets nucléaires peut être réalisée par la méthode de Monte Carlo à ions et électrons couplés (CEIMC), une méthode de simulation des premiers principes basée sur le QMC. Nous utilisons les résultats de la méthode CEIMC pour discuter les effets quantiques et thermiques des nuclei sur des propriétés électroniques. Nous introduisons une méthode formelle de traitement du gap électronique et de la structure des bandes à température finie dans l'approximation adiabatique et discutons des approximations qui doivent être faites. Nous proposons également une nouvelle méthode pour calculer des propriétés optiques à basse température, qui constituera une amélioration par rapport à l'approximation semi-classique couramment utilisée. Enfin, nous appliquons tout le développement méthodologique de cette thèse pour étudier la métallisation de l'hydrogène solide et liquide. Nous constatons que pour l'hydrogène moléculaire dans sa structure cristalline parfaite, le gap QMC est en accord avec les calculs précédents de GW. Le traitement des effets quantiques nucléaires entraîne une forte réduction du gap (2 eV). Selon la structure, le gap indirect fondamental se ferme entre 380 et 530 GPa pour les cristaux idéaux et 330-380 GPa pour les cristaux quantiques, ce qui dépend moins de la symétrie cristalline. Au-delà de cette pression, le système entre dans une phase de mauvais métal où la densité des états au niveau de Fermi augmente avec la pression jusqu'à 450-500 GPa lorsque l'écart direct se ferme. Notre travail soutient en partie l'interprétation des récentes expériences sur l'hydrogène à haute pression. Nous explorons également la possibilité d'utiliser une représentation multidéterminante des états excités pour modéliser les excitations neutres et calculer la conductivité via la formule de Kubo. Nous avons appliqué cette méthodologie à l'hydrogène cristallin idéal et limité au niveau de Monte Carlo variationnel de la théorie. Pour l'hydrogène liquide, la principale conclusion est que la fermeture du gap est continue et coïncide avec la transition de dissociation moléculaire. Nous avons été en mesure d'étalonner les fonctions de la théorie fonctionnelle de la densité (DFT) en nous basant sur la densité QMC des états. En utilisant les valeurs propres des calculs Kohn-Sham corrigé par QMC pour calculer les propriétés optiques dans le cadre de la théorie de Kubo-Greenwood , nous avons constaté que l'absorption optique théorique calculée précédemment s'est déplacée vers des énergies plus faibles<br>The hydrogen metallization problem posed almost 80 years ago, was named as the third open question in physics of the XXI century. Indeed, due to its lightness and reactivity, experimental information on high pressure hydrogen is limited and extremely difficult to obtain. Therefore, the development of accurate methods to guide experiments is essential. In this thesis, we focus on studying the electronic structure, including excited state phenomena, using quantum Monte Carlo (QMC) techniques. In particular, we develop a new method of computing energy gaps accompanied by an accurate treatment of the finite simulation cell error. We formally relate finite size error to the dielectric constant of the material. Before studying hydrogen, the new method is tested on crystalline silicon and carbon diamond, systems for which experimental information on the gap is available. Although finite-size corrected gap values for carbon and silicon are larger than the experimental ones, our results demonstrate that the bias due to the finite size supercell can be corrected for, so precise values in the thermodynamic limit can be obtained for small supercells without need for numerical extrapolation. As hydrogen is a very light material, the nuclear quantum effects are important. An accurate capturing of nuclear effects can be done within the Coupled Electron Ion Monte Carlo (CEIMC) method, a QMC-based first-principles simulation method. We use the results of CEIMC to discuss the thermal renormalization of electronic properties. We introduce a formal way of treating the electronic gap and band structure at a finite temperature within the adiabatic approximation and discuss the approximations that have to be made. We propose as well a novel way of renormalizing the optical properties at low temperature, which will be an improvement upon the commonly used semiclassical approximation. Finally, we apply all the methodological development of this thesis to study the metallization of solid and liquid hydrogen. We find that for ideal crystalline molecular hydrogen the QMC gap is in agreement with previous GW calculations. Treating nuclear zero point effects cause a large reduction in the gap (2 eV). Determining the crystalline structure of solid hydrogen is still an open problem. Depending on the structure, the fundamental indirect gap closes between 380 and 530 GPa for ideal crystals and 330–380 GPa for quantum crystals, which depends less on the crystalline symmetry. Beyond this pressure, the system enters into a bad metal phase where the density of states at the Fermi level increases with pressure up to 450–500 GPa when the direct gap closes. Our work partially supports the interpretation of recent experiments in high pressure hydrogen. However, the scenario where solid hydrogen metallization is accompanied by the structural change, for example, a molecular dissociation, can not be disproved. We also explore the possibility to use a multideterminant representation of excited states to model neutral excitations and compute the conductivity via the Kubo formula. We applied this methodology to ideal crystalline hydrogen and limited to the variational Monte Carlo level of the theory. For liquid hydrogen, the main finding is that the gap closure is continuous and coincides with the molecular dissociation transition. We were able to benchmark density functional theory (DFT) functionals based on the QMC density of states. When using the QMC renormalized Kohn-Sham eigenvalues to compute optical properties within the Kubo-Greenwood theory, we found that previously calculated theoretical optical absorption has a shift towards lower energies
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Conference papers on the topic "CEIMC method"

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Sole, Joshua D., Bradley J. Shelofsky, Robert P. Scaringe, and Gregory S. Cole. "Cavitation-Enhanced Microchannel Heat Exchanger Demonstration and Heat Transfer Correlation Development Using R-134a." In ASME 2012 Heat Transfer Summer Conference collocated with the ASME 2012 Fluids Engineering Division Summer Meeting and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ht2012-58109.

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Electronics of all types, particularly those in the military aviation arena, are decreasing in size while at the same time increasing in power. As a result, newer high-heat-flux electronic components are exceeding the cooling capabilities of conventional single-phase military aviation coldplates and coolants. It is for this reason that we have been investigating new methods to cool the next generation of high-heat-flux military aviation electronics. In this work, a novel method of inducing two-phase conditions within a microchannel heat exchanger has been developed and demonstrated. Micro-orifices placed upstream of each microchannel in a microchannel heat exchanger not only cause an improvement in flow distribution, but can also induce cavitation in the incoming subcooled refrigerant and result in favorable two-phase flow regimes for enhanced heat transfer. In this study, R-134a is used as the coolant in the cavitation enhanced microchannel heat exchanger (CEMC-HX) which has been integrated into a vapor compression refrigeration system. Multiple micro-orifice geometries combined with a fixed microchannel geometry (nominally 250 μm × 250 μm) were investigated over a range of applied base heat fluxes (10–100 W/cm2) and mass fluxes (500–1000 kg/m2-s). Two-phase heat transfer coefficients exceeding 100,000 W/m2-K at refrigerant qualities of less than 5% have been demonstrated due to the achievement of preferential, cavitation-induced, flow regimes such as annular flow. To the author’s knowledge, this is the highest heat transfer coefficient ever reported in the literature for R-134a. Additionally, a four term two-phase heat transfer correlation was developed that achieved a mean absolute error (MAE) of 25.5%.
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