Miracle-dz/UniFAR-FTUs huggingface dataset:
Numerical Simulation of Fluid Flow and Heat Transfer in Wellbore

Article history: Received 1 May 2019 Received in revised form 30 May 2019 Accepted 25 June 2019 Available online 15 August 2019 Accurate heat transfer modelling can contribute significantly in that realm. Earth temperature generally increases with depth. Thus, as the hot fluid from bottom hole rises up the wellbore, its temperature is higher than the surrounding Earth temperature which causes it to lose heat to the surroundings. When the flow rate of the fluid increases, more of the hotter fluid from the bottom displaces the colder fluid in the wellbore at any given point and therefore the temperature increases. ANSYS Fluent was used to simulate the fluid flow and heat transfer in wellbore of crude oil flowing upward in the tubing and gas (air) injected through holes to increase the wellbore production. Results show that the crude oil velocity seems to be decreased downstream throughout the tubing. The pressure seems to be reduced throughout the tubing because of losses cause the friction between crude oil and the tubing wall. Eddy viscosity of crude oil be larger at the entering and fluctuated between decrease and increase throughout the tubing. Turbulent eddy dissipation be large only at the entering (bottom) and gradually reduced along the tubing till it minimum value at the exit (top). The turbulent kinetic energy be larger be larger at the entering (bottom) and minimized throughout the tubing till it be in a lower value at the exit (top). Crude oil temperature was decreased along the tubing centerline and the minimum value at the tubing exit (top). The heat transfer coefficient value be minimum at the entering and increased suddenly through the (0.1) of the total tubing length.
The Value of Teachers' Knowledge: Environmental Education as a Case Study.

Environmental educators often maintain that elementary education should work to improve and protect the environment by producing environmentally informed, committed, and active citizens. However, research shows that implementation of environmental education in elementary schools is problematic and not very successful. This paper identifies a perceived gap with the field of environmental education research and literature. It focuses on the characteristic knowledge of Australian elementary school teachers about environmental education. A combined-methods approach utilizing both qualitative and quantitative methods was applied to investigate teachers' knowledge. Study findings indicate that Queensland elementary school teachers have varying levels of commitment to and little knowledge of environmental education concepts, theories, and teaching approaches. These teachers tend to dismiss the importance of knowledge, preferring to focus on attitudes and values in the teaching of environmental education. Such levels of environmental literacy are inadequate to ensure the development of environmentally literate students who become environmentally literate citizens. (Contains 108 references.) (SM) Reproductions supplied by EDRS are the best that can be made from the original document. PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY
A Modified Kalman Filter for Hybrid Positioning

This paper presents a new hybrid positioning algorithm whereby restrictive information such as base station sector and maximum range can be used in a Kalman-type filter. This new algorithm is fast to compute and gives almost the same accuracy as the particle filter with millions of particles. Simulations show that in some cases restrictive information such as mobile phone network sector and maximum range informationdramatically improvefilter accuracy. We also present the mathematical fundamentals of the algorithm.
and Combined Studies , Including Radiography , XRD and XRF , of the triptych the Last Judgement from National Museum in Gda ń sk : Rogier

Examination of the Gdańsk triptych Last Judgment carried out by the Faculty of Art. Conservation of the Academy of Fine Arts in Warsaw and CHARISMA Group researchers included XRD/XRF, multispectral refl ectography MNIR and other methods. They have shown that the work, a typical example of 15th-century Flemish art, was probably begun by Rogier van der Weyden (design, drawings and some underpainting, and completed by Hans Memling. Dendrochronology tests have confi rmed that the support from Baltic oak might have been ready for painting in 1460, i.e. 4 years before the death of Weyden. The Last Judgment’s unique expression is due to its Northern Renaissance features.
A conformal variational approach for helices in nature

We propose a two step variational principle to describe helical structures in nature. The first one is governed by an energy action which is a linear function in both curvature and torsion allowing to describe nonclosed structures including elliptical, spherical, and conical helices. These appear as rhumb lines in right cylinders constructed over plane curves. The model is completed with a conformal alternative which, in particular, gives a description of closed structures. The energy action is linear in the curvatures when computed in a conformal spherical metric. Now, helices appear as making a constant angle with a Villarceau flow and so they are loxodromes in surfaces which are stereographic projections of Hopf tubes, in particular, anchor rings, revolution tori, and Dupin cyclides. The model satisfies the requirements of simplicity and beauty as reflected in the three main principles that head its construction: least action, topological, and quantization. According to the latter, the main entities an.
Conditions Where the Chaotic Set Has a Non-Empty Residual Julia Set for Two Classes of Meromorphic Functions

We define the Fatou and Julia sets for two classes of meromorphic functions. The Julia set is the chaotic set where the fractals appear. The chaotic set can have points and components which are buried. The set of these points and components is called the residual Julia set, denoted by , and is defined to be the subset of those points of the Julia set, chaotic set, which do not belong to the boundary of any component of the Fatou set (stable set). The points of are called buried points and the components of are called buried components. In this paper we extend some results related with the residual Julia set of transcendental meromorphic functions to functions which are meromorphic outside a compact countable set of essential singularities. We give some conditions where .
Detecting Deceptive Discussions in Conference Calls

We estimate classification models of deceptive discussions during quarterly earnings conference calls. Using data on subsequent financial restatements (and a set of criteria to identify especially serious accounting problems), we label the Question and Answer section of each call as \truthful" or \deceptive". Our models are developed with the word categories that have been shown by previous psychological and linguistic research to be related to deception. Using conservative statistical tests, we find that the out- of-sample performance of the models that are based on CEO or CFO narratives is significantly better than random by 4%- 6% (with 50% - 65% accuracy) and provides a significant improvement to a model based on discretionary accruals and traditional controls. We find that answers of deceptive executives have more references to general knowledge, fewer non-extreme positive emotions, and fewer references to shareholders value and value creation. In addition, deceptive CEOs use significantly fewer self- references, more third person plural and impersonal pronouns, more extreme positive emotions, fewer extreme negative emotions, and fewer certainty and hesitation words.
Geodynamics and tectonics Imaging the structural style of an active normal fault through multidisciplinary geophysical investigation : a case study from the M w 6 . 1 , 2009 L ’ Aquila earthquake region ( central Italy )

Fabio Villani,1 Stefano Pucci,2 Riccardo Civico,2 Paolo Marco De Martini,2 Iacopo Nicolosi,2 Francesca D’Ajello Caracciolo,2 Roberto Carluccio,2 Giuseppe Di Giulio,1 Maurizio Vassallo,1 Alessandra Smedile1 and Daniela Pantosti2 1Istituto Nazionale di Geofisica e Vulcanologia, via dell’Arcivescovado 8, I-67100 L’Aquila, Italy. E-mail: fabio.villani@ingv.it 2Istituto Nazionale di Geofisica e Vulcanologia, via di Vigna Murata 605, I-00143 Rome, Italy
A Kalman Filter Model with Sparse Matrices in Spatial-Temporal Prediction

The Kalman filter has numerous applications in spatial-temporal prediction. A common application is for guidance, navigation, and control of vehicles, particularly aircraft and spacecraft. [1] In this thesis, we focus on one typical spatial-temporal data type of discrete time and discrete space. We consider a rectangular grid for the space domain. We make a first order Markov property assumption in both time and space to reduce complexity. In addition, several input control features are introduced into the Kalman filter. In other words, the distribution of future states depends only on the current states and input control features in their own area and their neighboring areas. Under our Markov assumption, it is natural for the transition matrix in the Kalman filter to be sparse for spatial-temporal data where sparse transition matrices with constrained structure are designed to interpret the spatial correlation among all the areas. We will derive the equations for inference in this particular spatial system, namely the Kalman filter and Kalman smoother. Using the results for the Kalman filter and Kalman smoother, we further consider the determination of the parameters of the Kalman filter model through a modified Expectation–Maximization(EM) algorithm that estimates sparse transition matrices. This stands in contrast with the standard EM algorithm, which usually produces a dense estimate for the matrices. To respect the spatial pre-constrained sparsity structure, we specify greedy EM updates that work on rows of the transition matrix. We study the properties of our new method in simulations and apply the method to a real data set on aviation safety where the goal is to predict which areas at Schiphol airport are at risk of having a large density of birds in the near future.
Evaluating A Multidisciplinary Cancer Conference Checklist: Practice Versus Perceptions

Background Presentation to multidisciplinary cancer conferences (MCCs) supports optimal treatment of young women with breast cancer (YWBC). However, research shows barriers to MCC practice, and variation in professional attendance and referral patterns. A checklist may help overcome these barriers and support MCC practice with YWBC. Methods We developed, piloted and evaluated an MCC checklist in sites participating in a pan-Canadian study (RUBY; Reducing the bUrden of Breast cancer in Young women). A survey assessed checklist processes and impacts, and checklist data were analysed for checklist uptake, MCC presentation rates and MCC processes including staff attendance. Results Fifteen RUBY sites used the checklist (~50%), mostly for data collection/tracking. Some positive effects on clinical practice such as increased presentation of YWBC at MCC were reported, but most survey participants indicated that MCC processes were sufficient without the checklist. Conversely, checklist data show that only 31% of patients were presented at MCC. Of those, 41% were recommended treatment change. Conclusion Despite limited checklist uptake, there was evidence of its clinical practice benefit. Furthermore, it supported data collection/quality monitoring. Critically, checklist data showed gaps in MCC practice and low MCC presentation rates for YWBC. This contrasts with overall provider perceptions that MCCs are working well. Findings suggest that supports for MCC are needed but may best take the form of clear national practice recommendations and audit and feedback cycles to inform awareness of good MCC practice and outcomes. In this setting, tools like the MCC checklist may become helpful in supporting MCC practice.
From Surviving to Flourishing: Using Narrative as a Tool for Patient-Centered Care

Rehabilitation practice aims to restore people to health after injury or illness. Health involves not only managing the technical aspects of treating the condition, but also living a good and personally fulfilling life. In addition to biomedical management, attention to flourishing – or fulfillment of one’s potential – requires intentional and individualized intervention. Clinicians can use narrative to better understand patient needs and values to encourage such a patient-centered approach to care. The purpose of this article is to describe the benefits of developing skills for understanding and interpreting stories, i.e. “narrative competence”, through reading and analyzing published first-person illness narratives. I will illustrate this approach by examining a story about a journey excerpted from memoirs written by a patient and caregiver dyad; then, contrasting between biomedical and narrative analyses of the story, demonstrate how the latter can enhance clinical reasoning for rehabilitation practice. This approach has the potential to generate new skills for rehabilitation clinicians that can help all patients flourish, regardless of disability.
A data-based power transformation for compositional data

Compositional data analysis is carried out either by neglecting the compositional constraint and applying standard multivariate data analysis, or by transforming the data using the logs of the ratios of the components. In this work we examine a more general transformation which includes both approaches as special cases. It is a power transformation and involves a single parameter�. The transformation has two equivalent versions. The �first is the stay-in-the-simplex version. This expression is the power transformation as de�fined by Aitchison (1986). The second version, which is a linear transformation of the stay-in-the-simplex, is a Box-Cox type transformation. We call the second version the isometric �alpha-transformation because of the multiplication with the Helmert sub-matrix. We discuss a parametric way of estimating the value of alpha�, which is maximization of its pro�le like-lihood (assuming multivariate normality of the transformed data) and the equivalence between the two versions is exhibited. Other ways include maximization of the correct classi�cation probability in discriminant analysis and maximization of the pseudo-R2 in linear regression. We examine the relationship between the transformation, the raw data approach and the isometric log-ratio transformation. Furthermore, we also de�fine a suitable family of metrics corresponding to the family of �alpha-transformation and consider the corresponding family of Fr�echet means.
Keynote talk: Towards end-to-end learning and optimization

Deep learning has recently helped AI systems to achieve human-level performance in several domains, including speech recognition, object classification, and playing several types of games. The major benefit of deep learning is that it enables end-to-end learning of representations of the data on several levels of abstraction. However, the overall network architecture and the learning algorithms’ sensitive hyperparameters still need to be set manually by human experts. In this talk, I will discuss extensions of Bayesian optimization for handling this problem effectively, thereby paving the way to fully automated end-to-end learning. I will focus on speeding up Bayesian optimization by reasoning over data subsets and initial learning curves, sometimes resulting in 100-fold speedups in finding good hyperparameter settings. I will also show competition-winning practical systems for automated machine learning (AutoML) and briefly show related applications to the end-to-end optimization of algorithms for solving hard combinatorial problems. Workshop New Challenges in Neural Computation 2017 Machine Learning Reports 3 Keynote talk: Hierarchical Sensing Thomas Martinetz, University of Lübeck, Germany
When to apply different design for sustainable behaviour strategies

Increased focus in research on the environmental consequences of behaviour and product usage the last decade has resulted in a number of different design strategies. The strategies are meant to stimulate desired behavioural patterns or to avoid undesired ones. Although this provides understanding of how behaviour may be changed, there has been limited discussion about when and in which context to apply the different strategies. This paper aims to investigate when different strategies are likely to have the intended effect, depending on how they divide the control between the user and the product. Factors affecting behaviour, identified by social psychology, are used as a framework for this investigation. The result is a number of guidelines that are meant to help designers make informed decisions about which behaviour changing strategies to apply.
Variation in gut microbial communities of Hooded crane (Grus monacha) over spatial-temporal scales

16 Background: Microbes have been recognized as important symbionts to regulate host 17 life. Animal gut harbors abundance and diverse bacteria. Numerous internal and external 18 factors could influence intestinal bacterial communities, including diet, seasonal 19 fluctuations and habitat sites. However, the factors that influence the gut microbiota are 20 poorly characterized in wild bird. 21 Methods: By high-throughput sequencing and statistical analysis, we investigated the 22 variations in gut bacterial community composition and diversity of the Hooded cranes at 23 three wintering stages in Caizi (CZL) and Shengjin Lake(SJL), which are two shallow 24 lakes in the Yangtze floodplain. 25 Results: Our results revealed significant differences in the fecal bacterial community 26 structure and diversity among different sampling sites and seasons. ANOSIM analysis 27 explored that the samples in CZL had greater difference in the gut microbial composition 28 than the in SJL. Our data also indicated that the host’s gut environmental filtering might 29 be an important factor to shape the gut bacterial community according to mean nearest 30 taxon distance (MNTD). In addition, PICRUSt analysis revealed that the predicted 31 metagenomes associated with carbohydrate metabolism, amino acid metabolism and 32 energy metabolism over the entire wintering period at the two lakes. Seasonal changes 33 have a significant impact on the gut microbes of hooded cranes in the two lakes. 34 35 Conclusions: The results demonstrated that both seasonal changes and habitat sites have 36 significant impact on the gut microbes of hooded cranes. In addition, predictive function 37 of gut microbes in Hooded cranes varied over time. These results provide new insights on 38 the gut microbial composition of the cranes, and our results serve as a foundation for 39 future studies. 40
Mechanical simulation of a single sheet of graphene: a study on the aplications of nanomaterials

Graphene is a bidimensional carbon allotrope with a hexagonal molecular lattice, in which its mechanical, electrical and optical properties have motivated an intense level of research of the scientific community in the last decade. This dissertation’s main objectives are the development of a consistent finite element model for the both linear and non linear simulation of graphene’s mechanical behaviour. Two interatomic potentials were used in the linear simulations of the model to assess their influence on the elastic properties. Non linear simulations were performed to obtain graphene’s mechanical strength. The finite element model results are compared with results collected from previous works on the fields of molecular dynamics and other atomistic computational methods. The present study shows that finite element models are able to predict well the mechanical properties of graphene.
The Acute Effect of a Single Exhaustive Sprint Exercise Session on Post-Exercise Fat Oxidation Rate

Abstract It is well known that substrate oxidation rates are increased by exercise. The present study had two main objectives: firstly, to examine the effect of a single exhaustive exercise session on post-exercise substrate oxidation and energy expenditure; and secondly, to determine the differences between athletes and non-athletes. Material and methods: Eighteen healthy male athletes (mean ± SD age; 19.38 ± 2.26 years, VO2max; 60.57 ± 3.90 ml · kg-1 · min-1, n = 8) and non-athletes (age; 20.30 ± 1.26 years, VO2max; 44.97 ± 5.43 ml · kg-1 ·min-1, n = 10) volunteered to participate in the study. After an overnight fast, subjects performed a single sprint exercise session on a cycle ergometer with individual loads (0.075 kg per body weight) until volitional exhaustion. Energy expenditure (EE) and the substrate oxidation rate were measured at rest and during the post-exercise recovery period using indirect calorimetry. Results: Exhaustive exercise significantly increased post-exercise fat oxidation, energy expenditure and contribution of fat to EE (p < 0.05). Also, it significantly decreased post-exercise carbohydrate (CHO) oxidation and the contribution of CHO to EE (p < 0.05). However, the changes in the substrate oxidation rate and EE after the exercise test were not different between the groups (p > 0.05). Conclusions: The study results suggest that a single short-duration exhaustive exercise session causes a higher fat oxidation rate during recovery than at rest, whereas training status did not affect this situation
Job order releasing and throughput planning for multi-priority orders in wafer fabs

To meet the production target of multi-level (multiple priority rank) orders in wafer fabs, this paper uses a hierarchical framework based on a mathematical model, and without the assistance of any simulation tool, to build a production scheduling system to plan wafer lot releasing sequence and time. This system first applies capacity loading analysis to set up the batch policy for each level (rank) of orders. Next, the production cycle time of each product level is estimated with considerations of batching and loading factor. The cycle time is then used to derive system control parameters such as the most appropriate level of work in process (WIP) and the number of daily operations on the bottleneck workstation. Lastly, a Constant WIP mechanism is applied to establish a wafer release sequence table and a throughput timetable. The due date designation for each specific order can hence be confirmed. With the comparison with the result of simulation, it shows that under the designed system the performance and planning measures in the master production schedule can be drawn up quickly and accurately, and the system throughput target and due date satisfaction can be achieved. Overall, the proposed production scheduling system is both effective and practicable, and the planning results are supportive for good target planning and production activity control.