Miracle-dz/UniFAR-FTUs huggingface dataset:
DESIGN AND IMPLEMENTATION OF A MVC-BASED ARCHITECTURE FOR E-COMMERCE APPLICATIONS

Though the separation of a model from its visual representation (view) implies well-known benefits, available Java libraries do not sufficiently support this concept. The paper presents a straightforward way to smoothly enhance Java libraries in this direction independently of the particular graphic user interface (GUI) library. The lean framework JGadgets, which was inspired by the Oberon Gadgets system [1], allows developers to focus on model programming only. This significantly reduces the development costs, in particular in the realm of quite simple, form-based GUIs which are common-place in commercial e-business-systems. We first present a small case study implemented on top of JGadgets which demonstrates the benefits of the MVC architecture. The paper then goes on to sketch the reflec-tion-based design of JGadgets itself.
High-field MRI of brain cortical substructure based on signal phase

The ability to detect brain anatomy and pathophysiology with MRI is limited by the contrast-to-noise ratio (CNR), which depends on the contrast mechanism used and the spatial resolution. In this work, we show that in MRI of the human brain, large improvements in contrast to noise in high-resolution images are possible by exploiting the MRI signal phase at high magnetic field strength. Using gradient-echo MRI at 7.0 tesla and a multichannel detector, a nominal voxel size of 0.24 × 0.24 × 1.0 mm3 (58 nl) was achieved. At this resolution, a strong phase contrast was observed both between as well as within gray matter (GM) and white matter (WM). In gradient-echo phase images obtained on normal volunteers at this high resolution, the CNR between GM and WM ranged from 3:1 to 20:1 over the cortex. This CNR is an almost 10-fold improvement over conventional MRI techniques that do not use image phase, and it is an ≈100-fold improvement when including the gains in resolution from high-field and multichannel detection. Within WM, phase contrast appeared to be associated with the major fiber bundles, whereas contrast within GM was suggestive of the underlying layer structure. The observed phase contrast is attributed to local variations in magnetic susceptibility, which, at least in part, appeared to originate from iron stores. The ability to detect cortical substructure from MRI phase contrast at high field is expected to greatly enhance the study of human brain anatomy in vivo.
The sociology of community

An adjustment assembly has two coaxially mounted cylinders fitting into one another with a piston displaceably mounted within the inside cylinder and dividing the inside cylinder into two fluid filled housing chambers. The piston is connected to a piston rod which is guided out of one end of the cylinder in a sealed manner. A pressure medium chamber is provided in the annular space between the cylinders and is separated in a fluid tight manner from fluid filled parts of the annular space by two axially displaceable separating pistons. The lower housing chamber has a fluid passageway to the lower portion of the annular space and the upper housing chamber has a fluid passageway to the upper part of the annular space. The inner cylinder may be axially displaced from outside the assembly to seal or open the upper passageway thus locking or unlocking the piston.
Validation of Molecular Pathology Codes for the Identification of Mutational Testing in Lung and Colon Cancer

Background: Targeted therapy for patients with lung and colon cancer based on tumor molecular profiles is an important cancer treatment strategy, but the impact of gene mutation tests on cancer treatment and outcomes in large populations is not clear. In this study, we assessed the accuracy of an algorithm to identify tumor mutation testing in administrative claims data during a period before test-specific Current Procedural Terminology codes were available. Materials and Methods: We used Pennsylvania Cancer Registry data to select patients with lung or colon cancer diagnosed between 2007 and 2011 who were treated at the University of Pennsylvania Health System, and we obtained their administrative claims. A combination of Current Procedural Terminology laboratory codes (stacking codes) was used to identify potential tumor mutation testing in the claims data. Patients’ electronic medical records were then searched to determine whether tumor mutation testing actually had been performed. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated. Results: An algorithm using stacking codes had moderate sensitivity (86% for lung cancer and 81% for colon cancer) and high specificity (98% for lung cancer and 96% for colon cancer). Sensitivity and specificity did not vary significantly during 2007–2011. In patients with lung cancer, PPV was 98% and NPV was 92%. In patients with colon cancer, PPV was 96% and NPV was 83%. Conclusions: An algorithm using stacking codes can identify tumor mutation testing in administrative claims data among patients with lung and colon cancer with a high degree of accuracy.
Cell Proliferation in the Presence of Telomerase

Background Telomerase, which is active early in development and later in stem and germline cells, is also active in the majority of human cancers. One of the known functions of telomerase is to extend the ends of linear chromosomes, countering their gradual shortening at each cell division due to the end replication problem and postreplication processing. Telomerase concentration levels vary between different cell types as well as between different tumors. In addition variable telomerase concentrations will exist in different cells in the same tumor when telomerase inhibitors are used, because of limitations of drug delivery in tissue. Telomerase extends short telomeres more frequently than long telomeres and the relation between the extension frequency and the telomere length is nonlinear. Methodolgy/Principal Findings Here, the biological data of the nonlinear telomerase-telomere dynamics is incorporated in a mathematical theory to relate the proliferative potential of a cell to the telomerase concentration in that cell. The main result of the paper is that the proliferative capacity of a cell grows exponentially with the telomerase concentration. Conclusions/Significance The theory presented here suggests that long term telomerase inhibition in every cancer progenitor or cancer stem cell is needed for successful telomere targeted cancer treatment. This theory also can be used to plan and asses the results of clinical trials targeting telomerase.
A Validity Generalization Study of the Multiple Assessment and Program Services Test.

The purpose of this paper was to research published validity reports of the Multiple Assessment and Program Services (MAPS) Test and to conduct quantitative analysis on the validity coefficients from the MAPS reports to determine the generalizability of the results and to identify which variables in the reports impact these coefficients. The specific question addressed was whether validity coefficients are related to the size of the sample populations, the subtest on the MAPS test, the location of testing sites, and criterion variable. This review used validity generalization procedures to evaluate the generalizability of previous test data from six studies (18 subtest cases). A general linear model was used to examine the relationships between the size of the populations, the subtest of MAPS, the location of testing sites, and the criterion variable used in determining the correlation coefficient. Analysis indicated that the validity coefficients were not generalizable across the different settings. Data from the individual states were significantly different from the national samples. Use of an alternate test as a criterion variable was significantly different from course grade and grade point average variables. Neither sample size nor the MAPS subtests were statistically significant. Eight tables are included. (Contains 26 references.) (Author/SLD) **************************************************************** * Reproductions supplied by EDRS are the best that can be made * from the original document. *********************************************************************** A VALIDITY GENERALIZATION STUDY OF THE MULTIPLE ASSESSMENT AND PROGRAM SERVICES TEST U S. DEPARTMENT OF EDUCATION (Dike ot Educational Research and Improvement EDU ATIONAL RESOURCES INFORMATION CENTE R (ERIC/ This document has been rePrOduCed as reCelned from the person or organization originating if CI Minor changes have been made to improve reproduction quality Pomts of view or (onions slated in thiS docu mem do not necessarily represent official OE RI position or pohcy Randell G. Johnson, Ph.D. Director of Evaluation and Planning Gwinnett Technical Institute 1250 Atkinson Rd./P.O. Box 1505 Lawrenceville, Georgia 30246-1505 "PERMISSION TO REPRODUCE THIS MATERIAL IN OTHER THAN PAPER COPY HAS BEEN GRANTED BY A/07)EZ L (.; US#Aise)t ) TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC). " Paper presented to the American Educational Research Association Distinguished Paper Session April 14, 1993 Atlanta, Georgia 2 BEST COPY AVAILABLE
Expressing and optimizing sequence queries in database systems

The need to search for complex and recurring patterns in database sequences is shared by many applications. In this paper, we investigate the design and optimization of a query language capable of expressing and supporting efficiently the search for complex sequential patterns in database systems. Thus, we first introduce SQL-TS, an extension of SQL to express these patterns, and then we study how to optimize the queries for this language. We take the optimal text search algorithm of Knuth, Morris and Pratt, and generalize it to handle complex queries on sequences. Our algorithm exploits the interdependencies between the elements of a pattern to minimize repeated passes over the same data. Experimental results on typical sequence queries, such as double bottom queries, confirm that substantial speedups are achieved by our new optimization techniques.
Lateral vehicles detection using monocular high resolution cameras on TerraMax™

Autonomous driving in complex urban environments, including traffic merge, four-ways stop, overtaking, etc., requires a very wide range sensorial capabilities, both in angle and distance. This paper presents a vision system, designed to help merging into traffic on two-ways intersections, and able to provide a long detection distance (over 100 m) for incoming vehicles. The system is made of two high resolution wide angle cameras, each one looking laterally (70 degrees) with respect of the moving direction, performing a specific background subtraction based technique, along with tracking and speed estimation. The system works when the vehicle is stopped at intersections, and is triggered by the high-level vehicle manager. The system has been developed and tested on the Oshkosh Teampsilas vehicle TerraMaxtrade, one of the 11 robots admitted to the DARPA Urban Challenge 2007 Final Event.
Expression of Estrogen-Induced Genes and Estrogen Receptor &bgr; in Pancreatic Neuroendocrine Tumors: Implications for Targeted Therapy

Objective The indolent nature and expression of progesterone receptor (PR), a well-known estrogen-induced gene, in a subset of pancreatic neuroendocrine tumors (PanNETs), raise the possibility of hormonal regulation in these tumors. Methods Immunohistochemical expression of estrogen receptors (ERs) &agr; and &bgr; as well as messenger RNA expression of estrogen-induced genes (PR, EIG121, IGF-1, IGF-1R, sFRP1, and sFRP4) by quantitative reverse transcription–polymerase chain reaction were examined in 131 World Health Organization grade G1 and G2 PanNETs and correlated their expression with clinicopathological features. Results Thirty-nine PanNETs (30%) showed high positive ER&bgr; staining, and 87 cases (66%) had low positive ER&bgr; staining; only 5 cases (4%) had no nuclear staining. Pancreatic neuroendocrine tumors with small size (P = 0.02), low World Health Organization grade (P = 0.02), and low American Joint Committee on Cancer stage (P = 0.006) more frequently showed high positive ER&bgr; staining. Among the estrogen-induced genes studied, PanNETs had significantly higher expression of PR, EIG121, IGF-1, sFRP1, and sFRP4 compared with normal pancreas, independent of age or sex. High positive ER&bgr; staining was associated with an increased expression of PR (P < 0.001) and EIG121 (P = 0.02). Conclusions Our study showed that PanNETs with favorable prognostic features have higher ER&bgr; expression, which is associated with up-regulated PR and EIG121 messenger RNA expression. Estrogen regulation in PanNETs could potentially help in risk stratification and provide a rational target for novel treatment strategies.
Exploring the attitudes of school-age children, their parents and educators to career prospects in the Scottish construction industry

The UK construction industry has a particularly low participation rate for women, both for those employed in the industry and for those engaged in training. Equal opportunities present a challenge in the construction industry, one of the most male dominated industrial sectors. Much remains to be done to promote the construction industry to girls considering their options for careers when they leave school. This paper presents an empirical review of the attitudes of school-age girls, their parents and educators about career prospects in construction. Based on qualitative research, this study found that reservations held by girls, some parents, and teachers are to do with issues such as the physical nature of the work, the social dynamics of working in a male-dominated environment, and the availability of career paths on the completion of a apprenticeship training. There is a paucity of knowledge amongst parents about which occupations there are in the construction industry and the pathways that exist following apprenticeship training. This lack of knowledge contributes to this hesitation. Construction employers will therefore need to embrace strategies that broaden parents', peers' and career advisers' knowledge about available employment opportunities and help overcome attitudes that the industry is unsuitable for women. Strategies that embrace flexibility, information, exposure and options are key to increasing participation of women in construction in ever-larger numbers.
All-orders infrared freezing of observables in perturbative QCD

We consider a Borel sum definition of all-orders perturbation theory for Minkowskian QCD observables such as the Re1e2 ratio, and show that both this perturbative component and the additional nonperturbative all-orders operator product expansion ~OPE! component can remain separately well-defined for all values of energy As, with the perturbative component dominating as s! `, and with both components contributing as s! 0. In the infrared s! 0 limit the perturbative correction to the parton model result for Re1e2 has an all-orders perturbation theory component which smoothly freezes to the value R(0)52/b, where b5(33 22Nf )/6 is the first QCD beta-function coefficient, with Nf flavors of massless quark. For freezing one requires Nf,9. The freezing behavior is manifested by the ‘‘contour-improved’’ or ‘‘analytic perturbation theory’’ ~APT! , in which an infinite subset of analytical continuation terms are resummed to all-orders. We show that for the Euclidean Adler-D function, D(Q2), the perturbative component remains defined into the infrared if all the renormalon singularities are taken into account, but no analogue of the APT reorganization of perturbation theory is possible. We perform phenomenological comparisons of suitably smeared low-energy data for the Re1e2 ratio, with the perturbative freezing predictions, and find good agreement.
A novel PUF against machine learning attack: Implementation on a 16 Mb RRAM chip

Physical unclonable function (PUF) is an important hardware security primitive. This paper proposes a novel PUF design based on a double-layer RRAM array architecture and digital RRAM programming achieved by splitting resistance distribution after a continuous distribution was formed. The proposed PUF was implemented on a 16 Mb RRAM test chip and its randomness was verified with NIST test suite. The experimental results demonstrate strong reliability and significantly enhanced resistance against machine-learning attack of this novel PUF design.
The Role of Language in Shaping International Migration

This paper examines the importance of language in international migration from multiple angles by studying the role of linguistic proximity, widely spoken languages, linguistic enclaves and language-based immigration policy requirements. To this aim we collect a unique dataset on immigration flows and stocks in 30 OECD destinations from all world countries over the period 1980-2010, and construct a set of linguistic proximity measures. Migration rates increase with linguistic proximity and with English at destination. Softer linguistic requirements for naturalization and larger linguistic communities at destination encourage more migrants to move. Linguistic proximity matters less when local linguistic network are larger.
Ethane: taking control of the enterprise

This paper presents Ethane, a new network architecture for the enterprise. Ethane allows managers to define a single network-wide fine-grain policy, and then enforces it directly. Ethane couples extremely simple flow-based Ethernet switches with a centralized controller that manages the admittance and routing of flows. While radical, this design is backwards-compatible with existing hosts and switches. We have implemented Ethane in both hardware and software, supporting both wired and wireless hosts. Our operational Ethane network has supported over 300 hosts for the past four months in a large university network, and this deployment experience has significantly affected Ethane's design.
MCDA: A Parameterless Algorithm for Detecting Communities in Multidimensional Networks

This paper introduces a parameterless approach named MCDA: Multidimensional Communities Detection Algorithm. MCDA adopts a local search mechanism which is inspired from the label propagation principle. To this end, we design a novel propagation rule that exploits the most frequently used interaction dimensions among neighbors as an additional constraint for membership selections. The new propagation rule allows MCDA to automatically unfold the hidden communities in a multidimensional context. The detected communities are further processed for relevant dimensions selection using an inter-class inertia-based procedure. The proposed algorithm is fully automated and does not require any parameter to be set by the user to recover communities and their associated dimensions.
Real-Time Scheduling for Workload-oriented Programming

Workload-oriented programming is a design methodology for specifying throughput and latency of real-time software processes on the level of individual process actions. The key programming abstraction is that the workload involved in executing a process action such as a system or procedure call fully determines the action’s response time, independently of any previous or concurrent actions. The model thus enables sequential and concurrent real-time process composition while maintaining each action’s workload-determined real-time behavior. We introduce a process model and an EDF-based scheduler as foundation for workloadoriented programming along with a prototypical implementation and experimental results. We show that the scheduler can effectively manage in constant time any number of processes up to available memory while maintaining throughput and latency of individual process actions within a bounded range.
Emotion regulation choice in an evaluative context: the moderating role of self-esteem

ABSTRACT Evaluative contexts can be stressful, but relatively little is known about how different individuals who vary in responses to self-evaluation make emotion regulatory choices to cope in these situations. To address this gap, participants who vary in self-esteem gave an impromptu speech, rated how they perceived they had performed on multiple evaluative dimensions, and subsequently chose between disengaging attention from emotional processing (distraction) and engaging with emotional processing via changing its meaning (reappraisal), while waiting to receive feedback regarding these evaluative dimensions. According to our framework, distraction can offer stronger short-term relief than reappraisal, but, distraction is costly in the long run relative to reappraisal because it does not allow learning from evaluative feedback. We predicted and found that participants with lower (but not higher) self-esteem react defensively to threat of failure by seeking short-term relief via distraction over the long-term benefit of reappraisal, as perceived failure increases. Implications for the understanding of emotion regulation and self-esteem are discussed.
Iterative mesh deformation for dense surface tracking

In this paper we present a new method to capture the temporal evolution of a surface from multiple videos. By contrast to most current methods, we introduce an algorithm that uses no prior of the nature of tracked surface. In addition, it does not require sparse features to constrain the deformation but only relies on strictly geometric information : a target set of 3D points and normals. Our approach is inspired by the Iterative Closest Point algorithm but handles large deformations of non-rigid surfaces. To this end, a mesh is iteratively deformed while enforcing local rigidity with respect to the reference model. This rigidity is preserved by diffusing it on local patches randomly seeded on the surface. The iterative nature of the algorithm combined with the softly enforced local rigidity allows to progressively evolve the mesh to fit the target data. The proposed method is validated and evaluated on several standard and challenging surface data sets acquired using real videos.