Miracle-dz/UniFAR-FTUs huggingface dataset:
In vitro color evaluation of esthetic coatings for metallic dental implants and implant prosthetic appliances.

OBJECTIVES The aim of this study was to characterize the optical properties of newly developed esthetic coatings for metallic implants and components for an improved peri-implant soft tissue appearance. MATERIAL AND METHODS Pig maxillae (n = 6) were used for the in vitro color evaluation of coated and uncoated samples. Three different coating systems (Ti-ZrO(2), Ti-Al-ZrO(2), and Ti-Ag-ZrO(2)) were deposited on titanium substrates, which exhibited different roughness (polished, machined, and sand-blasted) and interference colors (pink, yellow, and white). Spectrophotometric measurements were made of samples below three different mucosa thicknesses (1 mm, 2 mm, and 3 mm) and titanium served as negative control. Color difference ΔE was calculated using ΔL, Δa, and Δb values for each sample (in total 30 samples). RESULTS ΔE values were significantly above the threshold value of 3.70 for sand-blasted Ti and Ti-ZrO(2) samples when tested below 1 mm thick soft tissue, hence resulted in a dark appearance of the soft tissues. In contrast, Ti-Al-ZrO(2) and Ti-Ag-ZrO(2) samples showed significant ΔL values below 1 mm, which indicates a brightening of the covering tissue. In general, ΔE values decreased with increasing thickness of the tissue. At 3 mm thick tissue, ΔE values were significantly below 3.70 for Ti-Al-ZrO(2) and Ti-Ag-ZrO(2) samples. The preferable substrate surface should be machined due increased color brightness, good soft tissue integration and improved adhesion between coating and substrates. Improvement of the optical appearance of the metal was achieved with the coating systems Ti-Al-ZrO(2) and Ti-Ag-ZrO(2). Darkening effects could not be observed for these systems, and partially light brightening of the tissue was observed. Advantageous colors were suggested to be pink and yellow.
A Nosology of Disorders of Attention

Abstract: The trailblazing research on sleep mechanisms and petit mal epilepsy, conducted during the period from 1940 through 1970, illuminated the brain substrate for normal consciousness and attention, as well as their disorders. This research helped inform and structure our neuropsychologically based model of the “elements” of attention. The model has been used to assess attention in the research laboratory and clinic, and has led to a “nosology of disorders of attention,” which is presented here in preliminary form. The nosology reviews the possible causes of the symptom(s) of impaired attention, as well as suggesting a blueprint for future research in this area.
La tecnología móvil de Realidad Virtual en educación: una revisión del estado de la literatura científica en España

La Realidad Virtual es una de las herramientas tecnologicas emergentes y su tendencia va en aumento en relacion a su aplicacion en el ambito educativo. El presente escrito forma parte de una investigacion mas amplia sobre la aplicacion de la metodologia mobile learning en la Universidad espanola. En concreto en este trabajo se recoge la literatura cientifica sobre Realidad Virtual aplicada a traves de los dispositivos digitales moviles en Espana entre los anos 2000 y finales de 2017. Se ha seguido una metodologia propia de la investigacion bibliografica que ha consistido en el establecimiento de una serie de palabras clave y criterios para la realizacion de la busqueda sistematica de documentacion en bases de datos cientificas. Entre los resultados obtenidos se ha determinado el creciente interes a partir del ano 2015, siendo la mayor parte de los documentos publicados articulos de revista. Asi pues, se constata el auge en la implementacion de la Realidad Virtual en diferentes niveles y ambitos educativos gracias a la universalizacion del smartphone y el abaratamiento de los visores de Realidad Virtual.
SERS detection of biomolecules using lithographed nanoparticles towards a reproducible SERS biosensor

In this paper we highlight the accurate spectral detection of bovine serum albumin and ribonuclease-A using a surface-enhanced Raman scattering (SERS) substrate based on gold nanocylinders obtained by electron-beam lithography (EBL). The nanocylinders have diameters from 100 to 180 nm with a gap of 200 nm. We demonstrate that optimizing the size and the shape of the lithographed gold nanocylinders, we can obtain SERS spectra of proteins at low concentration. This SERS study enabled us to estimate high enhancement factors (105 for BSA and 107 for RNase-A) of important bands in the protein Raman spectrum measured for 1 mM concentration. We demonstrate that, to reach the highest enhancement, it is necessary to optimize the SERS signal and that the main parameter of optimization is the LSPR position. The LSPR have to be suitably located between the laser excitation wavelength, which is 632.8 nm, and the position of the considered Raman band. Our study underlines the efficiency of gold nanocylinder arrays in the spectral detection of proteins.
Examination of the Empirical Research Environment of Program Evaluation: Methodology and Application

The study dealt with a research environment in which the treatment effect is heterogeneous, and in which individuals use their assessments of the treatment effect to decide whether or not to enroll in an intervention program. In this article, a new methodology is proposed for examining the validity of the specified research environment in a given intervention program and database. The methodology is based on direct examination of the assumptions underlying that research environment. Comparison of the commonly used verification method with the one proposed here revealed that these methods are complementary rather than substitutional.
ESTIMATING DBLEARN'S POTENTIAL FOR KNOWLEDGE DISCOVERY IN DATABASES

We propose a procedure for estimating DBLEARN's potential for knowledge discovery, given a relational database and concept hierarchies. This procedure is most useful for evaluating alternative concept hierarchies for the same database. The DBLEARN knowledge discovery program uses an attribute‐oriented inductive‐inference method to discover potentially significant high‐level relationships in a database. A concept forest, with at most one concept hierarchy for each attribute, defines the possible generalizations that DBLEARN can make for a database. The potential for discovery in a database is estimated by examining the complexity of the corresponding concept forest. Two heuristic measures are defined based on the number, depth, and height of the interior nodes. Higher values for these measures indicate more complex concept forests and arguably more potential for discovery. Experimental results using a variety of concept forests and four commercial databases show that in practice both measures permit quite reliable decisions to be made; thus, the simplest may be most appropriate.
Integration of the free software GenOpt for a thermal engineering course

Information and communications technologies (ICT) are being used in engineering fields due to multiple advantages that motivate their introduction in university teaching. A course on thermal engineering has been taught for the past 3 years as part of the industrial engineering degree at the University of Vigo. Energy savings and efficiency are common issues. In a practical classroom, one example is the energy simulations of buildings. These tools can be used to simplify the realization of control strategies for different building HVAC systems, which, in most cases, results in an important reduction in the building's energy consumption over its lifetime. In this paper, the feasibility of using the free software GenOpt for simulation practice and as a tool for teaching and learning inside and outside the classroom is analyzed. These results, together with an analysis of the study plan of the industrial engineering degree at the University of Vigo, allow for the development of new teaching and learning methodologies as well as their implementation in energy simulation practice. © 2015 Wiley Periodicals, Inc. Comput Appl Eng Educ 24:356–364, 2016; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21713
How Do Multiple Topics in Terse Tweets Affect Retweeting? Evidence from the 2013 Colorado Floods

The rapid and wide dissemination of disaster information through tweeting and retweeting has made Twitter an important communication channel during disasters. However, due to its 140-character limit, a tweet could be considered uninformative during disasters. Based on Shannon and Weaver’s communication theory, we use the measure of entropy to quantify the extent to which a tweet is considered informative. We theorize that as a tweet’s entropy increases, its informativeness decreases, and importantly, so too does the probability of retweeting. To assess tweets’ entropy, we use topic modeling to discover topics in tweets. Using tweets collected during the 2013 Colorado floods, we empirically examine the relationship between tweets’ entropy and retweet frequency. We take this investigation one step further by examining the interaction effect of the number of URLs on that relationship. Our empirical results demonstrate the negative effect of entropy on retweet frequency. In addition, the effect of the number of URLs depends on entropy. Our findings suggest that tweets’ entropy is an important factor in explaining tweets’ retweeting mechanism during disasters and enhance the understanding of the relationship between short-length tweets and information dissemination. As a result, our study contributes to IS research on the role of Twitter in emergency communication.
Perceptual evaluation of liquid simulation methods

This paper proposes a novel framework to evaluate fluid simulation methods based on crowd-sourced user studies in order to robustly gather large numbers of opinions. The key idea for a robust and reliable evaluation is to use a reference video from a carefully selected real-world setup in the user study. By conducting a series of controlled user studies and comparing their evaluation results, we observe various factors that affect the perceptual evaluation. Our data show that the availability of a reference video makes the evaluation consistent. We introduce this approach for computing scores of simulation methods as visual accuracy metric. As an application of the proposed framework, a variety of popular simulation methods are evaluated.
Occlusal changes during and after Herbst treatment: a cephalometric investigation.

The aim of this study was to evaluate quantitatively sagittal, skeletal and dental changes occurring during and after Herbst treatment and relate these changes to alteration in the occlusion. Lateral roentgenograms in centric occlusion were analysed. The sample consisted of 40 Class II, division 1 cases treated with the Herbst appliance for an average period of 7 months. The subjects were re-examined 6 and 12 months post treatment. The results revealed the following: during the treatment period all subjects were treated to Class I or overcorrected Class I or Class III dental arch relationships. Overjet and sagittal molar relationship improved by an average of 6.9 mm and 6.3 mm respectively. This was a result of a 2.2 mm greater mandibular than maxillary growth, a 2.3 mm lingual movement of the maxillary incisors, a 2.4 mm labial movement of the mandibular incisors, a 2.0 mm distal movement of the maxillary molars and a 2.1 mm mesial movement of the mandibular molars. During the post treatment period of 12 months the occlusion settled into Class I in all subjects. Overjet and sagittal molar relationship relapsed by an average of 2.2 mm and 1.7 mm respectively. About 90 per cent of the occlusal relapse occurred during the first 6 months post treatment. In 58 per cent of the subjects the occlusal relapse was exclusively a result of tooth movements while unfavourable maxillary and mandibular jaw growth contributed to the relapse in 42 per cent of the subjects. As Herbst treatment is performed during a relatively short period, the dentition will be in a state of instability after the appliance is removed. Post treatment retention as well as interocclusal adjustments with an activator are therefore recommended.
Displacement of the β cytoplasmic domain recovers focal adhesion formation, cytoskeletal organization and motility in swapped integrin chimeras

Integrin-mediated `outside-in' signaling requires the transmission of a conformational change from the extracellular domains to the cytoplasmic domains. Although one component of this conformational change is the separation of the α and β cytoplasmic domains, it is not clear how this separation could result in the initiation of downstream signals necessary for focal adhesion (FA) formation. To address this question, we used a swapped integrin heterodimer, in which the extracellular domains of the α and β chains were attached to their opposing transmembrane and cytoplasmic domains. This receptor was able to bind ligand normally, but could not promote FA formation. We then displaced the β cytoplasmic domain with either a duplication of its membrane-proximal region or an unrelated α-helical spacer. This displacement partially restored FA formation in these swapped receptors and rescued other aspects of integrin-mediated signaling, including cytoskeletal organization, motility and several tyrosine-phosphorylation-dependent signals. We suggest that separation of the cytoplasmic domains leads to alteration of the secondary structure of the distal β tail, which initiates downstream signals leading to cytoskeletal reorganization.
Analysis of CUGBP1 Targets Identifies GU-Repeat Sequences That Mediate Rapid mRNA Decay

ABSTRACT CUG-repeat binding protein 1 (CUGBP1) mediates selective mRNA decay by binding to GU-rich elements (GREs) containing the sequence UGUUUGUUUGU found in the 3′ untranslated region (UTR) of short-lived transcripts. We used an anti-CUGBP1 antibody to immunoprecipitate CUGBP1 from HeLa cytoplasmic extracts and analyzed the associated transcripts using oligonucleotide microarrays. We identified 613 putative mRNA targets of CUGBP1 and found that the UGUUUGUUUGU GRE sequence and a GU-repeat sequence were both highly enriched in the 3′ UTRs of these targets. We showed that CUGBP1 bound specifically to the GU-repeat sequence and that insertion of this sequence into the 3′ UTR of a beta-globin reporter transcript conferred instability to the transcript. Based on these results, we redefined the GRE to include this GU-repeat sequence. Our results suggest that CUGBP1 coordinately regulates the mRNA decay of a network of transcripts involved in cell growth, cell motility, and apoptosis.
In Vivo Analysis of Protein Kinase B (PKB)/Akt Regulation in DNA-PKcs-null Mice Reveals a Role for PKB/Akt in DNA Damage Response and Tumorigenesis*

Full activation of protein kinase B (PKB/Akt) requires phosphorylation on Thr-308 and Ser-473. It is well established that Thr-308 is phosphorylated by 3-phosphoinositide-dependent kinase-1 (PDK1). Ser-473 phosphorylation is mediated by both mammalian target of rapamycin-rictor complex (mTORC2) and DNA-dependent protein kinase (DNA-PK) depending on type of stimulus. However, the physiological role of DNA-PK in the regulation of PKB phosphorylation remains to be established. To address this, we analyzed basal, insulin-induced, and DNA damage-induced PKB Ser-473 phosphorylation in DNA-PK catalytic subunit-null DNA-PKcs-/- mice. Our results revealed that DNA-PK is required for DNA damage-induced phosphorylation but dispensable for insulin- and growth factor-induced PKB Ser-473 phosphorylation. Moreover, DNA-PKcs-/- mice showed a tissue-specific increase in basal PKB phosphorylation. In particular, persistent PKB hyperactivity in the thymus apparently contributed to spontaneous lymphomagenesis in DNA-PKcs-/- mice. Significantly, these tumors could be prevented by deletion of PKBα. These findings reveal stimulus-specific regulation of PKB activation by specific upstream kinases and provide genetic evidence of PKB deregulation in DNA-PKcs-/- mice.
Improving Shared Argument Identification in Japanese Event Knowledge Acquisition

Event knowledge represents the knowledge of causal and temporal relations between events. Shared arguments of event knowledge encode patterns of role shifting in successive events. A two-stage framework was proposed for the task of Japanese event knowledge acquisition, in which related event pairs are first extracted, and shared arguments are then identified to form the complete event knowledge. This paper focuses on the second stage of this framework, and proposes a method to improve the shared argument identification of related event pairs. We constructed a gold dataset for shared argument learning. By evaluating our system on this gold dataset, we found that our proposed model outperformed the baseline models by a large margin.
Boundedness of Synchronverters

Synchronverters are grid-friendly inverters that mimic the operation of conventional synchronous generators. In this paper, the non-linear stability of the synchronverter in the sense of boundedness is investigated and proven for the first time. To this end, initially, the complete non-linear model of the synchronverter is obtained and then the field-excitation current loop of the synchronverter is implemented using a bounded integral control (BIC) structure, as proposed by the authors in the literature. While maintaining the original synchronverter operation near the rated value, the BIC additionally guarantees that the field-excitation current will remain bounded in a given range. Using non-linear analysis and input-to-state stability theory, it is proven that the frequency dynamics will remain bounded which leads to a bounded synchronverter voltage and finally results in the stability of the closed-loop system in the sense of boundedness. Extensive simulation results verify that the proposed synchronverter with the BIC approximates the behavior of the original synchronverter near the rated value with a guaranteed bounded performance.
CONCERT-1, an additional piece in the puzzle of (bio)-(chemo)-radiation.

CONCERT-1 (1) is an international, open-label, randomized, controlled, phase 2 trial, in which 150 patients with previously untreated stage III, IVa, or IVb, locally advanced (LA) non-nasopharyngeal squamous cell carcinoma of the head and neck (HNSCC) from 41 sites in 9 countries were randomly assigned 2:3 to open-label concurrent chemoradiotherapy (CCRT) (three cycles of cisplatin 100 mg/m 2 ) or panitumumab plus CCRT (three cycles of intravenous panitumumab 9.0 mg/kg every 3 weeks plus cisplatin 75 mg/m 2 ).
Author ' s personal copy SNAP trait profiles as valid indicators of personality pathology in a non-clinical sample

This study investigated whether profiles of traits included in the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993) model of personality were valid indicators of different personality pathologies in a non-clinical sample. We obtained self-reports of SNAP traits for 117 university students and selfand informant-reports of normal personality traits. SNAP trait profiles representing Borderline, Schizotypal, Avoidant, and Obsessive–Compulsive personality characteristics predictably related to normal traits that are considered most relevant to each respective personality pathology. Exploratory analyses showed that relationships among normal traits differed across groups of individuals with different levels of personality pathology. These findings suggest that SNAP profile scales have validity for representing specific personality pathologies on a continuum, and that the configuration of normal traits may be relevant to personality pathology. 2010 Elsevier Ltd. All rights reserved.
The Zero-Delay Wavenumber Spectrum Estimation for the Analysis of Array ECG Signals-An Alternative to Isopotential Mapping

The zero-delay wavenumber spectrum (ZDWS) estimation approach is proposed for the analysis of array ECG signals as an alternative to isopotential mapping (IM). The ZDWS approach is advantageous because the key parameters related to cardiac electrical activation can be easily identified in the frequency-wavenumber domain. The method explains the data as the sum of wide-band planewaves projected onto the array plane and provides an accurate estimate of their number and bearing. The slowness distribution of each of the planewaves is then obtained by estimating their temporal spectrum. Simulated data and experimental ECG data collected from a canine epicardial preparation during control and localized myocardial ischemic condition'are analyzed via the ZDWS and IM. It is demonstrated that the ZDWS methodology provides a means for an objective, robust, and repetitive characterization of the array data which can explain the modulation in the cardiac activation wavefront produced by an area of localized coronary artery occlusion.
Robustness analysis of diversified ensemble decision tree algorithms for Microarray data classification

Ensemble classification methods have shown promise for achieving higher classification accuracy for microarray data classification analysis. As noise values do exist in all microarray data even after microarray data preprocessing stage, robustness is therefore another very important criteria in addition to accuracy for evaluating reliable microarray classification algorithms. In this paper, we conduct experimental comparison of our newly developed MDMT with C4.5, BaggingC4.5, Ad-aBoostingC4.5, Random Forest and CS4 on four microarray cancer data sets. We test and evaluate how well a given single or ensemble classifier can tolerate noise data in unseen test datasets, particularly with increasing levels of noise. The experimental results show that MDMT tolerates the noise values in unseen test data sets better than other compared methods do, particularly with increasing levels of noise data. We observe that a random forests is comparable to MDMT in term of resistance to noise. The experimental results also show that ensemble decision tree methods tolerate the noise values better than single tree C4.5 does. We conclude that avoiding overlapping genes exist among the ensemble trees is an intuitive, simple and effective way to achieve higher degree of diversity for ensemble decision tree methods. The algorithm based on this principal is more reliable to deal with microarray data sets with certain level of noise data.
Author response: Nintendo Wii remote controllers for head posture measurement--accuracy, validity, and reliability of the infrared optical head tracker letters.

we reported that the newlydeveloped IOHT showed strong concordance with the CROM,which is considered a gold standard for head posturemeasurement, and has relatively a good test–retest reliability,thereby proving its validity and reliability as a head posture–measuring device.First of all, in their letter Sabour and Ghassemi questionedwhy we did not use the seven well-known statistical tests(sensitivity, speciﬁcity, positive predictive value, negativepredictive value, likelihood ratio positive and negative, andodds ratio) for evaluating the validity of the infrared opticalhead tracker (IOHT) compared to cervical range of motion(CROM). In our article,
Quantitative analysis of THz imaging systems in brownout conditions

Brownout refers to dust cloud created by the rotor downwash of a helicopter. When it occurs, the visibility becomes limited, or even null. The pilot can be desorientated and accident may happen. No existing imaging systems can see through dust clouds, in real-time and with sufficient resolution. Using waves between 100GHz and 1THz seems to be a good solution to make a compact and suitable imaging system. After defining a brownout model, we establish theoretically the power balance of the involved sources of signal and noise. We compare a photometric detection system with one compounded of antennas.