Miracle-dz/UniFAR-FTUs huggingface dataset:
DFA Connectivity Advisor: A New Workflow to Use Measured and Modeled Fluid Gradients for Analysis of Reservoir Connectivity

In deepwater and other high-cost environments, reservoir compartmentalization has proven to be a vexing, persistent problem that mandates new approaches for reservoir analysis. In particular, methods involving reservoir fluids can often identify compartments; however, it is far more desirable to identify reservoir connectivity. Downhole fluid analysis (DFA) has enabled cost-effective measurement of compositional gradients of reservoir fluids both vertically and laterally. Modeling of dissolved gas-liquid gradients is readily accomplished using a cubic equation of state (EOS). Modeling of dissolved solid (asphaltenes)liquid gradients can be achieved using the newly developed Flory-Huggins-Zuo equation of state (FHZ EOS) with its reliance on the nanocolloidal description of asphaltenes within the Yen-Mullins model. The combination of new technology (DFA) and new science (FHZ EOS) provides a powerful means to address reservoir connectivity. It has previously been established that the process of equilibration of reservoir fluids generally requires good reservoir connectivity. Consequently, measured and modeled fluid equilibration is an excellent indicator of reservoir connectivity. However, some reservoir fluid processes are faster than equilibration rates of reservoir fluids. The often slow rate of fluid equilibration makes it a suitable indicator of connectivity. Consequently, measurement of disequilibrium can still be consistent with reservoir connectivity. Moreover, the two fluid gradients, dissolved gas-liquid versus dissolved solid-liquid can be separately responsive to different fluid processes, thereby complicating understanding. A workflow is developed, the DFA reservoir connectivity advisor, to enable interpretation of the implications of measured fluid gradients specifically with regard to reservoir connectivity. Reservoir connectivity is difficult to establish in any event; analyses of fluid gradients can be placed in a context of the probability of connectivity, thereby significantly improving risk management.
A Study on Touchless Finger Vein Recognition Robust to the Alignment and Rotation of Finger

With increases in recent security requirements, biometric technology such as fingerprints, faces and iris recognitions have been widely used in many applications including door access control, personal authentication for computers, internet banking, automatic teller machines and border-crossing controls. Finger vein recognition uses the unique patterns of finger veins in order to identify individuals at a high level of accuracy. This paper proposes new device and methods for touchless finger vein recognition. This research presents the following five advantages compared to previous works. First, by using a minimal guiding structure for the finger tip, side and the back of finger, we were able to obtain touchless finger vein images without causing much inconvenience to user. Second, by using a hot mirror, which was slanted at the angle of 45 degrees in front of the camera, we were able to reduce the depth of the capturing device. Consequently, it would be possible to use the device in many applications having size limitations such as mobile phones. Third, we used the holistic texture information of the finger veins based on a LBP (Local Binary Pattern) without needing to extract accurate finger vein regions. By using this method, we were able to reduce the effect of non-uniform illumination including shaded and highly saturated areas. Fourth, we enhanced recognition performance by excluding non-finger vein regions. Fifth, when matching the extracted finger vein code with the enrolled one, by using the bit-shift in both the horizontal and vertical directions, we could reduce the authentic variations caused by the translation and rotation of finger. Experimental results showed that the EER (Equal Error Rate) was 0.07423% and the total processing time was 91.4ms.
Location aware one-to-many communication in mobile multi-hop wireless networks

This paper presents a uniform solution for multipoint communication in mobile multi-hop wireless networks, spanning the full range of problems from routing to broadcast. Each node is aware of its own location and through a dissemination mechanism, becomes aware of the location of all other nodes in the network. Thus when a node has a packet to transmit, it is able to locally compute a "snapshot" of the network topology. A tree that describes the paths to follow to reach the destinations of the multipoint communication is then locally computed on the resulting snapshot. The tree obtained is optimally encoded by its unique Prufer sequence, included in the packet header, and then the paths traversed hop-by-hop as in any source routing technique. All the local computations are efficient, being executed in polynomial time. Our uniform solution to multipoint communication has been simulated in mobile multi-hop wireless networks with up to 60 nodes, showing a success rate of over 95% for routing and multicast. Furthermore, compared to flooding, our solution achieves improvements of up to 50% on multicast completion delay.
Notice of Violation of IEEE Publication Principles Software Evolution with Feature-Oriented and Aspect-Oriented Programming

Common techniques of feature-oriented programming (FOP) are important for software evolution and appropriate for implementing program families. It is discussed that the shortcomings in the crosscutting modularity cause problems in implementing unanticipated features. The discussed problems of FOP in this regards complicate the evolution of software. The integration of concepts of aspect-oriented programming (AOP) into existing FOP solutions is proposed. Three approaches to solve these problems are presented: multi mixins, aspectual mixins and aspectual mixin layers. Whereas, the first two approaches are only of conceptual nature, the third approach is implemented and Feature C++ with the ability to express Aspectual Mixin Layers is enhanced. FeatureC++ supports FOP in C++ and solves several problems regarding the lacking crosscutting modularity by adopting AOP concepts.
Análise do balanceamento de requisições em clusters Web não- dedicados

The amount of services and information available on the Internet, such as banking and business transactions, social networks, blogs and even interactive games, has steadily increased. Web providers must be prepared to support this growing demand for information and communication. In this sense, the use of web server clusters together with the balancing of requests has been an important strategy for distributing the services among several processors in a balanced way. This paper describes and discusses architectural and operational issues of request balancing, especially dynamic balancing, covering concepts, techniques and solutions. Real experiments were performed in different configurations on a cluster of Apache servers non dedicated exclusively to web service. The mod_proxy_balancer load balancing module was used with intensive synthetic overloads and a new balancing method called byalltraffic was proposed and evaluated. The results show that the balancing in this type of system will be more efficient if the external network workload to the web service is detected and used in the balancing factor.
ANALYTICAL PROCEDURES: A Data Envelopment Analysis Approach

In this paper, we demonstrate the usefulness of Data Envelopment Analysis (DEA) as an analytical procedure for auditors, especially in the planning stage of the audit, to determine the extent of audit and to assess the preliminary risk level of the client. We believe that DEA can also be used in the overall review stage to detect any anomalies and to assess the reasonableness of financial statements. DEA‐based analytical procedures can provide consistent and reliable red ags and benchmarks for auditors to compare a client to other firms in the same industry. We provide an illustrative use of DEA as an analytical procedure for auditing a client in the oil and gas industry. We also provide validation for DEA as an analytical procedure.
By the Seat of Our Pants: The Evolution of Research on Cognition and Action

Plans and Situated Actions (PS&A) is one of the most well-worn books on my shelves. Pages are dog-eared and scribbled on; I have lent it out to students more times than I can recall. As a general rule, the physical wear-and-tear on a book is probably as good a measure as any other of its value and usefulness. There can be little doubt that, over the past decade, Lucy Suchman has achieved the enviable goal of having affected the course of a field of research. To have an impact of this sort, causing a shift in the empirical practices of an established field, is no easy task. In writing P&SA, Suchman clearly set out to change the practice of research on cognition:
Passive elastic joint moments in the lower extremity

Little information exists about the passive elastic coupling between the lower limb joints. In this study, we investigate the passive elastic joint properties in the lower extremities, taking into account the influence of the adjacent joint positions. Furthermore, we present a simple mathematical model describing these properties on the basis of a double-exponential expression. The model is especially suitable for the simulation of dynamic tasks where joints approach the extremes of the range of motion.
Bottleneck detection analysis for workflow improvement

This paper proposes a workflow modeling method using the log data of a real work flow monitoring system. The parameters of the model were determined through the stochastic analysis of log data and the interview to clerks. The simulated results of the estimated work-flow model agreed with the observed data. Several types of sensitive analysis critical parameters were clarified.
Relay autotuning: a use of old ideas in a new setting

The paper discusses the relatively new approach of relay autotuning and shows how a sound understanding of the approach requires knowledge of two approaches introduced early in the search for methods to study nonlinear control systems. The two approaches - the describing function method and procedures for evaluating limit cycles exactly in relay systems - are first reviewed. After a short section on techniques for choosing parameters of fixed controllers it is shown how relay autotuning can be used for PID controllers based on either plant critical point information or the estimation of a plant model. Finally some examples are given which illustrate the controller design techniques presented.
Anatomy of a learning organization: turning knowledge into capital at Andersen Consulting

Much has been written about knowledge management and ‘learning organizations’. But what type of organization structure best supports becoming a learning organization? In this article, we describe a conceptual model of the learning process that applies to individuals, to teams, to divisions and to an organization as a whole. Related to the learning processes, we describe three different types of knowledge—experiential, formalized, and emerging—and explain how each type requires a different style of management. A key contribution of our research is insight into the need to manage emerging knowledge; today, most organizations fail to recognize how to capture and manage this type of knowledge. We describe two organizational elements that are new relative to traditional organizations. We conclude by relating the various learning processes and the associated types of knowledge into an ‘anatomy of a learning organization’. Throughout this article we use indented italicized paragraphs to describe various aspects of Andersen Consulting's change journey1 to become more of a learning organization. © 1998 John Wiley & Sons Ltd and Cornwallis Emmanuel Ltd.
Copyright 2009 by Human Factors and Ergonomics Society, Inc. All rights reserved. 10.1518/107118109X12524444080990

SANLab-CM is an activity network tool for the stochastic modeling of routine interactive behavior. Within the cognitive engineering community the best-known examples of activity networking modeling are the CPM-GOMS models of Project Ernestine (Gray, John, & Atwood, 1993). Project Ernestine showed that modeling the parallel use of cognitive, perceptual, and motor resources within an activity network formalism produces reliable and accurate predictions of expert performance times across alternative designs for the same task. SANLab-CM provides time predictions, but its essence is the prediction of procedural variability amidst strategic constancy: when expert human performers follow the same task strategy from trial to trial variability in the processing time of cognitive, perceptual, and motor resources is such as to produce different critical paths of performance and significantly different execution times. The stochastic component of SANLab-CM goes beyond current techniques to create a new means of assessing alternative designs based on the procedural variability expected in expert performance.
Retrieval of analogue radar images for ensemble nowcasting of orographic rainfall

An analogue‐based approach for nowcasting the spatio‐temporal evolution of orographic rainfall at the southern side of the Swiss Alps, NORA, was developed by Panziera et al. (2011). Analogues were found by retrieving a set of similar mesoscale situations and rainfall fields, and the forecast was given by the evolution of the precipitation observed after the analogues. This strategy avoids the explicit space–time rainfall simulation to obtain ensembles that characterize the forecast uncertainty. In this study the choice of the most similar rainfall fields is further explored by means of principal components analysis. The latter is used to represent the sequences of radar images in a phase space constructed with a low number of principal components. The principal components explain the main patterns which characterize the spatial distribution of rainfall, a feature that was not implemented in the original NORA. The alternative version of the nowcasting tool is described and the forecasts are verified in detail. Due to the ability to represent forecast uncertainty, the ensemble prediction system has superior value for probabilistic short‐term forecasting compared to Eulerian persistence, which is more suited for deterministic forecasts. It is also demonstrated that retrieving similar sequences of images instead of single images does not improve forecast skill, which leads to the conclusion that the past trend in rainfall evolution is not a good predictor of its future evolution.
Visualising healthcare practice improvement: innovation from within

Iedema R, Mesman J, Carroll K. Published by Radcliffe Publishing Ltd, London, 2013, pp 232, £35.99 (paperback). ISBN-10: 1846194504; ISBN-13: 978-1846194504 Rick Iedema, Jessica Mesman and Katherine Carroll have written an important book for those interested in solving the challenge of achieving and sustaining local ‘buy in’ for patient safety and quality improvement (QI). Their highly readable text is delivered in two parts, with the first half of the book introducing a strong theoretical foundation for their novel interventional methodology. The second half presents case studies of that method—video reflexive ethnography (VRE)—applied to real-life safety and QI challenges in clinical environments that range from postoperative recovery room handovers, to general medical ward rounds. VRE deploys video footage to engage clinicians in self-reflection on the complexity of the work they perform. The book's main argument is that drawing clinicians’ conscious attention to areas of practice that have become unconscious and habitual is central to generating locally viable and sustainable QI. The authors develop a practical science to make “moment-to-moment complexity [in care delivery] visible, speakable, and (re)designable” (p. 13). A robust understanding of how and why an intervention is assumed to work is central to implementation success,1–3 and the authors take this seriously. They ground their introduction of VRE in theories thoughtfully selected from physics, mathematics, neuroscience, education and philosophy. The book's point of departure is that contemporary care delivery is irreducibly complex, and that “clinical staff need to be provided …
Source(s) Identification of Variance Shifts in Bivariate Process Using LS-SVM Based Pattern Recognition Model

MSPC techniques are effective tools for detecting the abnormalities of process variation. But MSPC charts do not provide the necessary information about which process variables (or subset of them) are responsible for the signal. In order to identify the process abnormality in covariance matrix of bivariate process, this article proposes a model based on LS-SVM pattern recognizer and |S| chart method, the main property of this model is to identify the assignable causes through LS-SVM pattern recognizer technique when |S| chart issue a warning signal. The simulation results indicate that the proposed model is feasible and effective. A bivariate example is presented to illustrate the application of the proposed model.
Carcinoma of the ampulla of vater. A clinicopathologic study and pathologic staging of 109 cases of carcinoma and 5 cases of adenoma

A total of 109 cases of carcinoma and 5 cases of adenoma of the ampulla of Vater were studied by preparing 5‐mm step‐wise whole tissue sections in each case. Carcinoma of the ampulla of Vater could be divided into four stages (I, II, III and IV), according to the microscopically verified extent of involvement by the tumor. All 12 patients with a Stage I tumor, defined as one restricted to within the muscle of Oddi as a boundary, showed no lymph node involvement and carried an excellent life expectancy with a relative 5‐year survival rate of 85%. Thus, categorization of such a tumor as early carcinoma of the ampulla of Vater is valid. Excluding two unclassifiable cases, the remaining 95 patients with Stage II, III, or IV tumors extending beyond the boundary of Oddi carried relative 5‐year survival rates of 11%, 25%, or 24%, respectively. Of the 109 carcinomas, 20 had areas of unequivocal adenoma at the margins, and of the five adenomas, two larger ones had foci of atypical epithelium suggestive of carcinoma in situ. These findings show the close relationship between adenoma and adenocarcinoma of the ampulla of Vater.
Cognitive function in idiopathic generalized epilepsy of childhood.

This study evaluated the cognitive profiles of children with idiopathic generalized epilepsy (IGE), uniformly treated with valproic acid with well-controlled seizures. Twenty-four were neuropsychologically evaluated. They comprised: 14 females, 10 males: 12 with generalized tonic-clonic seizures (GTCS), mean age 14y 4mo, SD 1y 7mo, range 12y to 16y 4 mo; 12 with absence seizures (AS) mean age 14y 5mo, SD 1y 10mo, range 11y to 16y 4mo, with intellectual abilities within the normal range and age-appropriate scholastic skills, and 20 healthy controls (12 females, 8 males; mean age 14y 5mo, SD 1y 10mo, range 10y 7mo to 16y 7mo). As a group, children with IGE performed significantly poorer in all tests (non-verbal and verbal attention, verbal learning and memory, word fluency, and controlled sequential fine motor responses) excluding nonverbal memory. Analysis according to type of seizure revealed that both patient groups (AS and GTCS) had an attention deficit, whereas only children with AS showed deficits in verbal learning and memory, word fluency, and controlled fine motor responses. These results suggest a long-term risk of learning impairment for children with IGE, even if they have normal intelligence and their seizures are well controlled.
3D laboratory-scale soilbed for assessment of fate and transport of explosive-related compounds in soils under variable environmental conditions

This paper presents the development and testing of a three-dimensional laboratory-scale soil tank system for modeling ERC fate and transport under controlled, but variable environmental conditions in partially saturated soil. The system incorporates a rainfall simulator, variable light (visible and UV), temperature and relative humidity components, and a 3D SoilBed capable of simulating several boundary and initial conditions. Experimental work indicate that water and solute transport is highly influenced by interrelated environmental and boundary conditions. The presence of light and higher system temperatures induces greater water drainage and solute fluxes. During infiltration, hydraulic heads increase at faster rates under no light exposure suggesting greater water and solute retention. The spatial and temporal distribution of hydraulic heads during rainfall events is not uniform and flow patterns reflect preferential paths. Transport of conservative solutes closely follows water flow patterns, and reflects the influence of variable and interrelated environmental factors on spatial and temporal concentration distribution. These experiments show that interrelated environmental factors must be taken into account to accurately predict the distribution of chemicals near the soil-atmosphere surface. They demonstrate that non-reactive solutes are highly influenced by variation in hydraulic, advective, and dispersive processes induced by changes in environmental conditions. Greater impacts are expected for reactive and semi-volatile solutes such as ERCs. In such case, fate and transport will also be affected by variations in soptive, gas transport, and degradation processes.
Image registration issues in the analysis of multiple injection 15O H2O PET studies: BRAINFIT

Spatial registration of functional and structural data is a vital first step in the regional analysis of images obtained from functional imaging techniques. We present a set of procedures that produce accurate, objective, and robust registrations between PET and MR images that are highly automated and user-friendly. These techniques have been shown to be both reliable and valid. Because the method is automated and therefore efficient, each injection of the PET experiment can be individually fit to overcome errors introduced because of subject movement between PET injections.
Open source standards on software process: a practical application

Standards are generally delivered by means of static documents which are difficult to handle and to learn. Although their source text might have an open access, they do not offer an open source environment which effectively supports their assimilation, comprehension, and use. To achieve this goal, standards regulating the software process should be delivered in different "workable" formats to allow users to immediately start applying them with the support of software tools and methodologies.
Characteristics of a high‐Xe‐concentration 4‐in. PDP

The performance of two 4‐in. color PDP test panels with a default and a high‐Xe‐concentration gas mixture will be discussed. The default panel with a gas mixture of 3.5% Xe in Ne and a filling pressure of 665 hPa was compared with a panel containing a gas mixture of 13.5% Xe in Ne and a filling pressure of 800 hPa. The panels contain a green phosphor, YBO3:Tb, which showed less saturation at high UV load compared with a Willemite phosphor. The panel performance was compared in addressed conditions. For the default panel, a white luminance of 710 cd/m2 and an efficacy of 1.6 lm/W was found, while for the high‐Xe‐partial‐pressure panel, a white luminance of 2010 cd/m2 and an efficacy of 3.8 lm/W was realized. The increase of the driving voltages, about 20–30 V, is moderate. Finally, color saturation is improved at high Xe partial pressure.