Miracle-dz/UniFAR-FTUs huggingface dataset:
Six sigma project reduces analytical errors in an automated lab.

The North Shore-LIJ Health System is the third-largest nonsectarian health system in the country. Created in 1998, the health system’s laboratory model consists of a strategically located core lab that uses total laboratory automation and offers consolidated testing, a rapid response lab in each of the system’s 18 hospitals, a standardized LIS, and standardized laboratory instrumentation. The core laboratory performs over 3.5 million tests annually for a client base comprised of hospitals, long-term care facilities, clinical trials, physician offices, and reference testing. The lab performs approximately 65% of the routine testing for the network as well as all microbiology, esoteric, molecular diagnostic, and reference testing.
Fractal analysis for computer-aided diagnosis of diffuse pulmonary diseases in HRCT images

The purpose of this article is to propose the use of fractal and texture analysis for computer-aided diagnosis (CAD) of diffuse pulmonary diseases (DPDs) in high-resolution computed tomography (HRCT) images. We propose multiple techniques to extract features from preprocessed regions of interest (ROIs) selected to represent five radiographic patterns useful in the differential diagnosis of DPDs, as well as normal cases. First-order statistics of gray-level distribution, Haralick's and Laws' texture features, statistical information extracted from the ROIs' discrete Fourier transforms, and their fractal dimension values were used as attributes. The features were used as inputs for a k-nearest neighbor classifier (k=5). With a dataset of 3252 ROIs, correct classification rates of up to 82.62% were achieved.
Solving Large Imperfect Information Games Using CFR+

Counterfactual Regret Minimization and variants (e.g. Public Chance Sampling CFR and Pure CFR) have been known as the best approaches for creating approximate Nash equilibrium solutions for imperfect information games such as poker. This paper introduces CFR$^+$, a new algorithm that typically outperforms the previously known algorithms by an order of magnitude or more in terms of computation time while also potentially requiring less memory.
Why do people share fantasies? An empirical investigation of a basic tenet of the symbolic convergence communication theory

This study investigates the features of an individual's preference for certain kinds of narratives and the resulting shared fantasies. We studied the following features of narratives, whether the stories were happy or sad, set in the past or the present, implied moral or immoral values, and were bizarre or realistic. Fifty‐four original dramas were created using different combinations of the four characteristics and were presented to American subjects in an interview situation with a Q‐sort methodology. The Quanal factor analysis found five different subject types. Members within each subject type exhibited similar fantasy sharing and rejecting patterns. These findings help fill in an important gap in the symbolic convergence theory by addressing the question of why people share fantasies.
Virtual Tutoring and Counseling in Schools

This paper is a report on the findings of a study conducted on ten primary and secondary schools in Spain where we evaluated how digital tools can contribute to reinforce and develop new ways of tutoring and counseling. The research shows how many counseling functions can be highly enhanced with the use of virtual tools, that is, academic planning, career postsecondary planning, tutoring, counseling, and personal-social development. One of the most important school counselor’s roles is to coordinate resources and services to best assist students and families in fulfilling their needs. Virtual tutoring and counseling through the development of virtual communities are key strategies to better connect with groups—students, parents, administrators, teachers, and others—as part of comprehensive developmental tutoring and counseling programs. Indeed, effective school counseling programs are a collaborative effort among many important groups of people whom digital tools help significantly.
Bruxism is unlikely to cause damage to the periodontium: findings from a systematic literature assessment.

BACKGROUND This paper systematically reviews the MEDLINE and SCOPUS literature to answer the following question: Is there any evidence that bruxism may cause periodontal damage per se? METHODS Clinical studies on humans, assessing the potential relationship between bruxism and periodontal lesions (i.e., decreased attachment level, bone loss, tooth mobility/migration, altered periodontal perception) were eligible. Methodologic shortcomings were identified by the adoption of the Critical Appraisal Skills Program quality assessment, mainly concerning the internal validity of findings according to an unspecific bruxism diagnosis. RESULTS The six included articles covered a high variability of topics, without multiple papers on the same argument. Findings showed that the only effect of bruxism on periodontal structures was an increase in periodontal sensation, whereas a relationship with periodontal lesions was absent. Based on the analysis of Hill criteria, the validity of causation conclusions was limited, mainly owing to the absence of a longitudinal evaluation of the temporal relationship and dose-response effects between bruxism and periodontal lesions. CONCLUSIONS Despite the scarce quantity and quality of the literature that prevents sound conclusions on the causal link between bruxism and the periodontal problems assessed in this review, it seems reasonable to suggest that bruxism cannot cause periodontal damage per se. It is also important to emphasize, however, that because of methodologic problems, particularly regarding sleep bruxism assessment, more high-quality studies (e.g., randomized controlled trials) are needed to further clarify this issue.
Hawking radiation of the brane-localized graviton from a (4 + n)-dimensional black hole

Following the Regge–Wheeler algorithm, we derive a radial equation for the brane-localized graviton absorbed/emitted by the (4 + n)-dimensional Schwarzschild black hole. Making use of this equation the absorption and emission spectra of the brane-localized graviton are computed numerically. Existence of the extra dimensions generally suppresses the absorption rate and enhances the emission rate as in other spin cases. The appearance of the potential well, however, when in the effective potential gives decreasing behaviour of the total absorption with increasing n in the low-energy regime. The high-energy limit of the total absorption cross section seems to coincide with that of the brane-localized scalar cross section. The increasing rate of the graviton emission is very large compared to those of other brane-localized fields. This fact indicates that graviton emission can be dominant in the Hawking radiation of higher-dimensional black holes when n is large.
An Unified Definition of Data Mining

Since many years, theoretical concepts of Data Mining have been developed and improved. Data Mining has become applied to many academic and industrial situations, and recently, soundings of public opinion about privacy have been carried out. However, a consistent and standardized definition is still missing, and the initial explanation given by Frawley et al. has pragmatically often changed over the years. Furthermore, alternative terms like Knowledge Discovery have been conjured and forged, and a necessity of a Data Warehouse has been endeavoured to persuade the users. In this work, we pick up current definitions and introduce an unified definition that covers existing attempted explanations. For this, we appeal to the natural original of chemical states of aggregation.
Rb-Mediated Neuronal Differentiation through Cell-Cycle–Independent Regulation of E2f3a

It has long been known that loss of the retinoblastoma protein (Rb) perturbs neural differentiation, but the underlying mechanism has never been solved. Rb absence impairs cell cycle exit and triggers death of some neurons, so differentiation defects may well be indirect. Indeed, we show that abnormalities in both differentiation and light-evoked electrophysiological responses in Rb-deficient retinal cells are rescued when ectopic division and apoptosis are blocked specifically by deleting E2f transcription factor (E2f) 1. However, comprehensive cell-type analysis of the rescued double-null retina exposed cell-cycle–independent differentiation defects specifically in starburst amacrine cells (SACs), cholinergic interneurons critical in direction selectivity and developmentally important rhythmic bursts. Typically, Rb is thought to block division by repressing E2fs, but to promote differentiation by potentiating tissue-specific factors. Remarkably, however, Rb promotes SAC differentiation by inhibiting E2f3 activity. Two E2f3 isoforms exist, and we find both in the developing retina, although intriguingly they show distinct subcellular distribution. E2f3b is thought to mediate Rb function in quiescent cells. However, in what is to our knowledge the first work to dissect E2f isoform function in vivo we show that Rb promotes SAC differentiation through E2f3a. These data reveal a mechanism through which Rb regulates neural differentiation directly, and, unexpectedly, it involves inhibition of E2f3a, not potentiation of tissue-specific factors.
Rank two filtered (phi, N)-modules with Galois descent data and coefficients

Let K be any finite extension of Q p , L any finite Galois extension of K, and E any finite large enough coefficient field containing L. We classify two-dimensional L-semistable E-representations of G K by listing the isomorphism classes of rank two weakly admissible filtered (ϕ, N, L/K, E)-modules.
Creating the New Ecological Order? Elias and Actor-Network Theory

This article provides a critique of current work on the “greening” of organizations, especially work based on “ecocentric” argument. I question the meaning of “nature” and use studies of the sociology of order and networks to debate the assumptions of current “green” discourse and its normative rationales. I advance an interdependency network perspective, applying it to the greening of organizations, green technologies, and issues of globalization, and I argue that this perspective offers an alternative theoretical rationale and a potential basis for future research.
Similarity Learning for Time Series Classification

Multivariate time series naturally exist in many fields, like energy, bioinformatics, signal processing, and finance. Most of these applications need to be able to compare these structured data. In this context, dynamic time warping (DTW) is probably the most common comparison measure. However, not much research effort has been put into improving it by learning. In this paper, we propose a novel method for learning similarities based on DTW, in order to improve time series classification. Making use of the uniform stability framework, we provide the first theoretical guarantees in the form of a generalization bound for linear classification. The experimental study shows that the proposed approach is efficient, while yielding sparse classifiers.
Test en ligne pour la détection des fautes intermittentes dans les architectures multiprocesseurs embarquées. (Online test for the detection of intermittent faults in embedded multiprocessor architectures)

Aujourd’hui les systemes embarques sont partout et requierent de plus en plus de puissance de calcul. Pour cela, ces dernieres annees, les progres d’integration ont permis de diminuer la taille des transistors, d’augmenter la frequence de fonctionnement et de diminuer la tension d’alimentation. Tout cela en augmentant progressivement le nombre de processeurs dans une meme puce. Mais cette evolution a un impact negatif sur la fiabilite. D’une part, les systemes deviennent de plus en plus sensibles a leur environnement, ce qui conduit a un taux plus important des fautes transitoires. D’autre part, les variations de procedes de fabrication dans les technologies actuelles, induisent de plus en plus de variations a l’interieur meme des composants. E phenomene, combine a la hausse des tensions d’alimentation et la temperature, augmente progressivement la probabilite d’occurrence des fautes intermittentes voire permanentes. De plus, le vieillissement des composants semble s’accelerer avec la diminution du facteur d’echelle et la diminution non uniforme des tensions d’alimentation, causant l’apparition prematuree des fautes intermittentes voire permanentes. Si les fautes transitoires et permanentes sont etudiees depuis plusieurs annees, ce n’est pas le cas des fautes intermittentes. Or, pour tenter de se premunir de ces fautes, il est important de comprendre leur comportement, ainsi que leur impact sur le systeme et les applications. Pour cela, nous avons defini une plateforme experimentale capable d’observer des erreurs intermittentes. Pour cela, des processeurs en technologie 65nm sont soumis, d’une part a une temperature superieure a 160° C et d’autre part a l’execution d’un ensemble d’applications. Nous avons ainsi, pu confirmer que les erreurs intermittentes peuvent etre observees avant l’apparition d’erreurs permanentes. Nos resultats confirment la presence de defauts intermittents tres tot avant la periode d’usur du circuit. De plus, nous montrons que les circuits integres soumis a la plus forte activite presentent le plus grand nombre d’erreurs intermittentes. Cette etude confirme qu’il est possible d’observer des erreurs intermittentes et donc qu’il est possible de les detecter en ligne. Cependant, aucun solution de detection en ligne des erreurs proposees dans la litterature ne convient a la fois aux erreurs intermittentes et aux architectures multiprocesseur. Ainsi, nous avons developpe une methode de test periodique pour repondre a ces contraintes. En particulier, nous avons montre que le test ne doit pas necessairement etre prioritaire devant les applications. Cela nous a permis de conclure qu’une politique d’ordonnancement des tests pseudo-periodiques, prenant en compte les processeurs au repos et la priorite des tâches, offrent le meilleur compromis entre performance et probabilite de detection.
A Compact Two-Port Handset MIMO Antenna with High Isolation for 5G mm-Wave Applications

— In this paper, a novel design of a compact coplanar waveguide (CPW) fed multiple-input-multiple-output (MIMO) handset antenna operating in a wide frequency range at the 5G New Radio (NR) millimeter wave (mmWave) band extending from 23.5 GHz to 41 GHz. The planar geometry results in a small, compact structure with a wide operating bandwidth, high gain, and high radiation efficiency. The utilized antenna was a single-layer surface-mounted CPW in a pin-clamp-like (PCL) structure fed with a wide ground slot. The two-element MIMO antenna consists of closely-spaced parallel elements placed λ 0 /16 apart from the closest edge, wherein λ 0 is the free space wavelength at the 28 GHz operating frequency. A novel inverse S-shaped (IS) decoupling strip structure was used. The proposed antenna element was designed on a Rogers RT5870 substrate using CST Microwave Studio and further validated using Ansys HFSS software. The simulated frequency bandwidth was confined to (23.5-41) GHz, showing both software good agreement results. At 37 GHz, the antenna array provides a maximum simulated gain of 6.6 dBi, while its lowest was 1.5 dBi at 24 GHz, and its minimum radiation efficiency was 93% over the whole band. This array revealed excellent MIMO performance metrics, such as envelope correlation coefficient ECC, diversity gain DG, and mean effective gain MEG, of excellent results, making this array a good choice for emerging 5G communications applications.
Template based recovery of Fourier-based watermarks using log-polar and log-log maps

Digital watermarks have been proposed as a method for discouraging illicit copying and distribution of copyrighted material. The paper describes a method for the secure and robust copyright protection of digital images. We present an approach for embedding a digital watermark into an image using the fast Fourier transform. To this watermark is added a template in the Fourier transform domain, to render the method robust against rotations and scaling, or aspect ratio changes. We detail an algorithm based on the log-polar or log-log maps for the accurate and efficient recovery of the template in a rotated and scaled image. We also present results which demonstrate the robustness of the method against some common image processing operations such as compression, rotation, scaling and aspect ratio changes.
Interacting with Recommenders—Overview and Research Directions

Automated recommendations have become a ubiquitous part of today’s online user experience. These systems point us to additional items to purchase in online shops, they make suggestions to us on movies to watch, or recommend us people to connect with on social websites. In many of today’s applications, however, the only way for users to interact with the system is to inspect the recommended items. Often, no mechanisms are implemented for users to give the system feedback on the recommendations or to explicitly specify preferences, which can limit the potential overall value of the system for its users. Academic research in recommender systems is largely focused on algorithmic approaches for item selection and ranking. Nonetheless, over the years a variety of proposals were made on how to design more interactive recommenders. This work provides a comprehensive overview on the existing literature on user interaction aspects in recommender systems. We cover existing approaches for preference elicitation and result presentation, as well as proposals that consider recommendation as an interactive process. Throughout the work, we furthermore discuss examples of real-world systems and outline possible directions for future works.
Searching for an Alternate Way to Identify Young Creative Minds: A Classroom-Based Observation Approach

Creative ability in young children has traditionally been assessed through the use of standardized tests of divergent thinking. This study investigated an alternate way of identifying creative ability. The concurrent validity of a more developmentally appropriate and authentic, behavior-based observation approach was examined on a sample of 45 kindergarten children from an urban elementary school. Significant, but relatively weak correlations were found between the Nebraska Starry Night Observation Protocol (NSNO) and the originality and elaboration scores of the concurrent measure, the Torrance Tests of Creative Thinking (TTCT). Implications of using the NSNO to identify young creative children are discussed.
Accelerating Algorithms using a Dataflow Graph in a Reconfigurable System

Abstract In this paper, the acceleration of algorithms using a design of a ﬁeld pro-grammable gate array (FPGA) as a prototype of a static dataﬂow architec-ture is discussed. The static dataﬂow architecture using operators intercon-nected by parallel buses was implemented. Accelerating algorithms usinga dataﬂow graph in a reconﬁgurable system shows the potential for highcomputation rates. The results of benchmarks implemented using the staticdataﬂow architecture are reported at the end of this paper. Keywords: Accelerating algorithms, Reconﬁgurable Computing, StaticDataﬂow Graph, Modules C to VHDL. 1. Introduction With the advent of reconﬁgurable computing, basically using a Field Pro-grammable Gate Array(FPGA), researchers are trying to explore the maxi-mum capacities of these devices, which are: ﬂexibility, parallelism, optimiza-tion for power, security and real time applications [7, 14]. Because of the complexity of the applications and the large possibilitiesto develop systems using FPGAs, many applications to convert algorithmsinto these devices associated with a General Purpose Processor (GPP) usinghigh level language like C and Java is one of the challenges for researchersnowadays, especially for accelerating algorithms [5, 8]. The main aim of this project was to accelerate the algorithms whichconvert parts of programs written in C language into a static dataﬂow modelimplemented in a FPGA.
Öğretim Dili Olarak Türkçenin Sorunları ve Öğretme Öğrenme Sürecindeki Etkili Yaklaşımlar

Turkce, ogretim dili olarak, gunumuzde bircok sorunla karsi karsiya bulunmaktadir. Yabanci dille ogretim, kitle iletisim araclarinin dili, Turkce. Turk dili ve edebiyati ogretmenlerinin yetistirilmesi, ogretim programlari, ogretimde kullanilan arac-gereclerin niteligi ve ogretim surecinde uygulanan ogretme-ogrenme yaklasimlari Turkce ogretiminin verimini belirleyen onemli degiskenler olarak, bilimsel sureclerde inceleme konusu yapilmalidir. Bu calismada ogretim dili olarak Turkcenin sorunlarina deginilmis; Turkce ogretimin kazandirmayi amacladigi becerilerin nitelikleri ile bu becerilerin ogrencilere edindirilmesi surecinde izlenmesi gereken cagdas ogretme-ogrenme yaklasimlari belirlenmeye calisilmistir.
Transparent combination of expert and measurement data for defect prediction: an industrial case study

Defining strategies on how to perform quality assurance (QA) and how to control such activities is a challenging task for organizations developing or maintaining software and software-intensive systems. Planning and adjusting QA activities could benefit from accurate estimations of the expected defect content of relevant artifacts and the effectiveness of important quality assurance activities. Combining expert opinion with commonly available measurement data in a hybrid way promises to overcome the weaknesses of purely data-driven or purely expert-based estimation methods. This article presents a case study of the hybrid estimation method HyDEEP for estimating defect content and QA effectiveness in the telecommunication domain. The specific focus of this case study is the use of the method for gaining quantitative predictions. This aspect has not been empirically analyzed in previous work. Among other things, the results show that for defect content estimation, the method performs significantly better statistically than purely data-based methods, with a relative error of 0.3 on average (MMRE).
The Cydra 5 departmental supercomputer: design philosophies, decisions, and trade-offs

The Cydra 5 is a heterogeneous multiprocessor system that targets small work groups or departments of scientists and engineers. The two types of processors are functionally specialized for the different components of the work load found in a departmental setting. The Cydra 5 numeric processor, based on a directed-data-flow architecture, provides consistently high performance on a broader class of numerical computations. The interactive processors offload all nonnumeric work from the numeric processor, leaving it free to spend all its time on the numeric application. The I/O processors permit high-bandwidth I/O transitions with minimal involvement from the interactive or numeric processors. The system architecture and data-flow architecture are described. The numeric processor decisions and tradeoffs are examined, and the main memory system is discussed. Some reflections on the design issues are offered. <<ETX>>
Using ICT to improve children's planning, performing and evaluating skills in gymnastics, in a year 2 class, to enhance their technique

The purpose of the research study was to find out if the use of Information Communication Technology (ICT) could improve the planning, performing and evaluating process within a sequence of six gymnastics lessons, and whether this would then improve the children's technique. The research consisted of a questionnaire given to the 30 children in the class at the end of the six consecutive lessons, an interview with the class teacher prior to the implementation of ICT and again afterwards, and observations. The findings showed that ICT improved the plan, perform and evaluate stages, within gymnastics, and consequently, the children's technique improved.