Miracle-dz/UniFAR-FTUs huggingface dataset:
Corpora e interpretazione simultanea

In questo volume e presentata una proposta di applicazione del corpus-based approach agli studi sull’interpretazione, con particolare riferimento alla modalita simultanea. A tal fine, sono discusse le principali questioni teorico-pratiche e metodologiche implicate nella creazione di corpora elettronici per lo studio e la didattica dell’interpretazione. Inoltre, sono illustrati due progetti di ricerca appartenenti ai Corpus-based Interpreting Studies (CIS) che hanno portato alla realizzazione di due corpora elettronici di interpretazione: EPIC (European Parliament Interpreting Corpus) e DIRSI-C (Directionality in Simultaneous Interpreting Corpus). Tali risorse linguistiche, la prima trilingue (italiano, inglese e spagnolo), la seconda bilingue (italiano e inglese), con i rispettivi archivi multimediali su cui si basano, offrono molteplici possibilita di indagine e attivita didattiche, a conferma del grande potenziale di questo innovativo paradigma di ricerca, frutto dell’incontro interdisciplinare tra la linguistica dei corpora e gli studi sull’interpretazione.
Mild Cognitive Impairment with a High Risk of Progression to Alzheimer’s Disease Dementia (MCI-HR-AD): Effect of Souvenaid® Treatment on Cognition and 18F-FDG PET Scans

Background: Previous studies have shown that Souvenaid (medical food) can have benefits on memory, cognition, and function in early Alzheimer’s disease (AD) and mild cognitive impairment (MCI). Objective: Demonstrate that Souvenaid could improve or maintain cognition and has an effect on neurodegeneration biomarkers. Methods: This cohort study was carried out from June 2015 through December 2016 in the Neurology Department, Infanta Cristina Hospital, Madrid, Spain. MCI-HR-AD were recruited using Petersen criteria, neuropsychology (NPS), and 18F-FDG PET scans to confirm the high risk of progression to dementia with one year of follow-up. Age, sex, vascular risk factors (VRF), and NPS values (Barcelona brief version) were analyzed. 18F-FDG PET scans were analyzed as a visual procedure. The study was approved by the Research Committee of ICH. Statistical analysis was made with SPSS 22.0 version. Results: Subjects included 43 MCI patients (58.5% women; mean age 69.78±7.89): 17 receiving Souvenaid® treatment (ST), 24 receiving no treatment (WT) and 2 who withdrew. No differences were seen in VRF, only hypercholesterolemia, and were less prevalent in the ST group (p = 0.002). The rate of progression to dementia was 48.8% (no differences between groups, p = 0.654). A second round of 18F-FDG PET scans showed a significance worsening of glucose metabolism in WT (p = 0.001) versus ST, in which it was low (p = 0.050). For NPS testing, there was a significant worsening in memory performance in the WT group (p = 0.011) and a stabilization in ST (p = 0.083), as well as in executive functions and attention (worsening in WT, p = 0.014). For the Subjective Changing Scale (SCS), caregivers indicated a stabilization/improvement in ST (p = 0.017). Conclusion: Souvenaid had a significant effect on several cognitive domains, and on SCS in patients with MCI-HR-AD. Its intervention had an impact on preservation on 18F-FDG PET scans.
Revision of the family Necrophasmatidae (Insecta: Cnemidolestida)

The type genus of the family Necrophasmatidae, Necrophasma Martynоv, 1925 from Karatau (Upper Jurassic of Kazakhstan), is re-described. The monotypic family Juraperlidae from Daohugou (Middle Jurassic of China) is synonymized under Necrophasmatidae (Cnemidolestida). The genus Ferganomadygenia Storozhenko et Vršanský, 1995 from Madygen (Middle Triassic of Kyrgyzstan) is included in this family, which also contains the type genus and Juraperla Huang et Nel, 2007. The family Necrophasmatidae is placed in the suborder Parmapterina of the order Cnemidolestida.
Factors Influencing Students’ Performance in Mathematics for Better Teaching-Aids Design

The purpose of the study was to investigate factors affecting students’ mathematics performance for better teaching-aids design. Sample of 160 students were involved in the study. Students’ questionnaire (SQ) was the major instrument for data collection, while three research questions were stated to guide the study. The descriptive statistics used to analyze the data include frequency count and simple percentages. The quality of teaching and learning mathematics has been one of the main challenges and concerns of educators. Teaching-aids design is an effective way to alleviate problems related to the quality of teaching and learning mathematics. Knowing the factors affecting mathematics performance is particularly important for making the best design decisions. Results revealed that gender was not found as an important factor affecting mathematics performance of students. Also, results showed that teaching-aids strategies/methods, teacher competency in mathematics education, motivation, parental education and socio-economic status were the most influential factors that should be considered in the design decisions.
Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features

Intra-slice motion correction is an important step for analyzing volume variations and pathological formations from intravascular imaging. Optical coherence tomography (OCT) has been recently introduced for intravascular imaging and assessment of coronary artery disease. Two-dimensional (2-D) cross-sectional OCT images of coronary arteries play a crucial role to characterize the internal structure of the tissues. Adjacent images could be compounded; however, they might not fully match due to motion, which is a major hurdle for analyzing longitudinally each tissue in 3-D. The aim of this study is to develop a robust tissue-matching-based motion correction approach from a sequence of 2-D intracoronary OCT images. Our motion correction technique is based on the correlation between deep features obtained from a convolutional neural network (CNN) for each frame of a sequence. The optimal transformation of each frame is obtained by maximizing the similarity between the tissues of reference and moving frames. The results show a good alignment of the tissues after applying CNN features and determining the transformation parameters.
On a Joint Frequency and Severity Loss Model Applied to Earthquake Risk

In the seismological and geophysics literature, it is suggested by numerous authors that the elapsed time between two earthquakes at a given location should be represented by either an exponential or Weibull distribution. In addition, the seismic gap hypothesis states that large waiting times could provoke larger earthquakes. This will create a statistical dependence relationship between the frequency and magnitude components of any earthquake risk model. This paper investigates the actuarial, statistical and risk management implications of these two characteristics of earthquake risk. To do so, we introduce the conditional Weibull renewal process to count the number of earthquakes over a given time period and we introduce statistical dependence between the interarrival times and the force of each earthquake. An actuarial earthquake risk model based on these elements is presented and applied to Montreal (Quebec) earthquake data.
Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

Although Bayesian Nets (BNs) are increasingly being used to solve real world risk problems, their use is still constrained by the difficulty of constructing the node probability tables (NPTs). A key challenge is to construct relevant NPTs using the minimal amount of expert elicitation, recognising that it is rarely cost-effective to elicit complete sets of probability values. We describe a simple approach to defining NPTs for a large class of commonly occurring nodes (called ranked nodes). The approach is based on the doubly truncated Normal distribution with a central tendency that is invariably a type of weighted function of the parent nodes. In extensive real-world case studies we have found that this approach is sufficient for generating the NPTs of a very large class of nodes. We describe one such case study for validation purposes. The approach has been fully automated in a commercial tool, called AgenaRisk, and is thus accessible to all types of domain experts. We believe this work represents a useful contribution to BN research and technology since its application makes the difference between being able to build realistic BN models and not.
Pressure-Controlled Dynamic Equation for the Phase-Field Crystal Method

The phase-field crystal (PFC) method is a density-functional-type materials model with atomic resolution on diffusive timescale, and has been shown to be a robust tool for modeling materials phenomena. In this study, a pressure-controlled dynamic equation for the PFC model was developed to describe a system under externally applied hydrostatic pressure. The formulation is based on the established frameworks including the thermodynamics of solids, kinematics of deformation, and non-equilibrium thermodynamics. The proposed equation exhibits the tensile and compressive deformation rates that are different from those from the recently-proposed pressure-controlled dynamic equation. The derivation in this work also provides a framework that can be readily extended to describe a more complex system such as multi-component solid under non-hydrostatic stress.
Effects of body size and harem size on male reproductive behaviour in the southern elephant seal

In a study on size and reproductive behaviour in the southern elephant seal,Mirounga leonina, on South Georgia from 1991 to 1993, large size, measured as nose to hind flipper length, was associated with factors that confer an advantage in terms of reproductive success. Some males stayed at the centre of harems, others were on the periphery and others were outside the harem. A male's mating success increased with his length, and for central males, mating success increased with harem size. Central males defeated almost all other males. Central males were also longest and outside males shortest. Furthermore, central males stayed ashore longest. For central males, length was positively correlated with number of days spent in the harem but not with harem size. Central and peripheral males had the highest copulation frequencies (per h and per male). The copulation frequency of central males apparently peaked in harems with a maximum size of 100–150 females, with lower frequencies in larger and smaller harems. However, the mating success of central males over the season increased with harem size. The rate of alert behaviour and time devoted to resting were not correlated with harem size for any of the three male categories, but rate of agonistic behaviour increased with increasing harem size for central males.
Deriving Numerosity and Shape from Identical Visual Displays

We presented identical displays of three to five dots in a functional magnetic resonance imaging (fMRI) experiment with normal volunteers. Two distinct directed attention tasks were performed on these displays: In one condition, subjects assessed the numerosity of the display; in the other condition, they assessed the shape of the display. Decisions based on numerosity activated differentially striate and extrastriate visual processing areas as well as left inferior frontal cortex. Decisions based on shape derived from arrangement activated differentially temporoparietal cortex bilaterally, medial posterior cingulate cortex, and left dorsolateral prefrontal cortex. These divergent neural activations in response to identical stimuli suggest that attentional mechanisms are deployed in very different ways in rapid enumeration of visual objects and in linking spatially discrete elements to one form.
Presence Detection of Surgical Tool Via Densely Connected Convolutional Networks

Surgical tool detection is important to surgical workflow recognition. It is considered as an essential task in surgical phase recognition. Recently, Densely Connected Convolutional Networks have gained a huge success in computer vision applications, especially in object detection and image Classification. In this paper, we proposed a method to solve the surgical tool presence detection problem as a multi-label classification problem based on Densely Connected Convolutional Networks. The performance of the proposed method has been evaluated in the surgical tool presence detection challenge dataset held by Modeling and Monitoring of Computer Assisted Interventions workshop. The result shows that our proposed model has achieved significant success in detecting surgical tool and got a mean average precision of 62.9% on the testing data. The technology studied in this paper has broad application prospects in computer-aided surgical systems and is a core component of the artificial intelligence medical operating room in the future.
A Declarative Interpreting Model for Image Regularizations based on Sparsity

:- Regularization is the process of extracting an image from pre-existed image. The aim is to improve the regularization of image by a sparsity of corner points this approach is proposed to reduce the de-blurring problem and the artifacts in the iterative image restoration. This paper implements a robust regularization for iterative image reconstruction by using concept of Analysis-based regularization. An optimization algorithm is developed for the corresponding optimization problem. In the concept of Analysis-based regularization can achieve the better form to recovery for small objects when compared with quadratic regularization and also it gives clear image than the conventional pixel-based regularization. In this the image de-noising and de-blurring experiments explained with high performance of regularization especially in aspects of restoring edge regions and also many image related problems. These type of image regularizations are detected based on an edge detector and a corner detector.
Transplantasi Hukum Bisnis di Era Globalisasi Tantangan Bagi Indonesia

Kebijakan investasi di Indonesia saat ini masih terkendala adanyal peraturan perundang-undangan yang tertinggal dengan ketentuan di bidang investasi. Seiring dengan globalisasi serta keikutsertaan dalam bidang investasi, maka untuk dapat mengantisipasi ketentuan tersebut adalah dengan cara melakukan transplantasi hukum untuk dapat mengisi kekosongan yang terjadi sekarang. Penelitian ini bertujuan untuk mengetahui cara yang terbaik bagi pemerintah Indonesia dalam mengisi kekosongan hukum bisnis saat ini. Penelitian ini merupakan suatu penelitian yuridis normatif, dimana titik berat analisis adalah norma hukum yang terdapat dalam literatur dan peraturan perundang-undangan. Kesimpulan yang dapat disampaikan dari penelitian ini adalah bahwa liberalisasi perdagangan khususnya dalam hukum bisnis telah meluas ke segala komoditas, tidak terkecuali dalam hukum bisnis. Bagi pemerintah Indonesia hal ini membawa dampak yang kurang baik mengingat ketertinggalan peraturan perundang-undangan berdampak pada investasi. Untuk dapat mengatasi hal ini, maka pemerintah dapat melakukan transplantasi hukum, khususnya di bidang hukum bisnis.
Why brown-headed cowbirds do not influence red-winged blackbird parent behaviour

Brown-headed cowbirds, Molothrus ater, frequently parasitize red-winged blackbirds, Agelaius phoeniceus. The presence of a brood parasite, unrelated to both host nestlings and parents, has provoked speculation regarding within-brood food allocation and parental provisioning. This study is the first to compare directly the effect of brood parasitism on host parent and offspring behaviour in younger and older broods. We videotaped 28 unparasitized red-winged blackbird broods and compared them to 22 parasitized broods. Red-winged blackbird nestling begging appears largely unaffected by cowbird parasitism. The presence of the cowbird in the nest affected neither the latency nor duration of host nestling begging, but stimulated more frequent begging by red-winged blackbird nestlings following food distribution. Begging by cowbirds was unique in two ways: (1) cowbirds maintained a consistent begging effort throughout the nestling period (but did not receive a consistent food share); and (2) cowbirds begged longer and more frequently following the allocation of food. Persistent begging by the cowbird following the allocation of food has implications for the division of parental care, if by doing so the brood parasite is able to provoke the foster parent to increase provisioning, at the expense of brooding. We found no evidence for the adjustment of parental care. Neither the foraging rates nor the lengths of the parental feeding visits differed markedly between parasitized and unparasitized broods.  2003 Published by Elsevier Ltd on behalf of The Association for the Study of Animal Behaviour.
Konferencijos „Lietuvos magistrantu informatikos ir IT tyrimai“ darbai

Konferencija „Lietuvos magistrantų informatikos ir IT tyrimai“ skirta pristatyti magistrų baigiamųjų darbų tyrimus informatikos ir IT srityse. Šio renginio tikslas – pakelti magistrantų įgūdžius, supažindinti su kitų magistrantų atliekamais tyrimais, paskatinti domėtis moksline veikla. Konferencijoje savo pranešimus skaitys magistrantai iš Kauno technologijos universiteto, Vilniaus universiteto, Vytauto Didžiojo universiteto. Konferencija vyks Lietuvos mokslų akademijoje (LMA). Tai įstaiga, jungianti žymiausius Lietuvos ir savo veikla su Lietuva susijusius mokslininkus. Ji yra nepriklausoma Seimo, Vyriausybės ir jai pavaldžių institucijų ekspertė ir patarėja mokslo bei studijų, kultūros, socialinės raidos, ūkio, gamtosaugos, sveikatos apsaugos, technologijų bei kitais klausimais. LMA įgyvendina šalies mokslui ir eksperimentinei plėtrai reikšmingus ES struktūrinių fondų projektus, rengia šalies bei tarptautines mokslines konferencijas, užsienio mokslininkų seminarus, mokslininkų susitikimus, akademinius skaitymus, parodas. Tikime, kad dalyvavimas šioje LMA vyksiančioje konferencijoje paskatins magistrantus tęsti mokslinę veiklą ir pabaigus magistro studijas. Šiuose konferencijos darbuose spausdinami magistrantų pranešimų santraukos ir straipsniai. Tai dažniausiai pirmosios mokslinės publikacijos, bet tikimės, kad ateityje virs į straipsnius prestižiniuose mokslo žurnaluose. To norėtume palinkėti konferencijos dalyviams.
CXADR-Mediated Formation of an AKT Inhibitory Signalosome at Tight Junctions Controls Epithelial-Mesenchymal Plasticity in Breast Cancer.

Tight junctions (TJ) act as hubs for intracellular signaling pathways controlling epithelial cell fate and function. Deregulation of TJ is a hallmark of epithelial-mesenchymal transition (EMT), which contributes to carcinoma progression and metastasis. However, the signaling mechanisms linking TJ to the induction of EMT are not understood. Here, we identify a TJ-based signalosome, which controls AKT signaling and EMT in breast cancer. The coxsackie and adenovirus receptor (CXADR), a TJ protein with an essential yet uncharacterized role in organogenesis and tissue homeostasis, was identified as a key component of the signalosome. CXADR regulated the stability and function of the phosphatases and AKT inhibitors PTEN and PHLPP2. Loss of CXADR led to hyperactivation of AKT and sensitized cells to TGFβ1-induced EMT. Conversely, restoration of CXADR stabilized PHLPP2 and PTEN, inhibited AKT, and promoted epithelial differentiation. Loss of CXADR in luminal A breast cancer correlated with loss of PHLPP2 and PTEN and poor prognosis. These results show that CXADR promotes the formation of an AKT-inhibitory signalosome at TJ and regulates epithelial-mesenchymal plasticity in breast cancer cells. Moreover, loss of CXADR might be used as a prognostic marker in luminal breast cancer. SIGNIFICANCE: The tight junction protein CXADR controls epithelial-mesenchymal plasticity in breast cancer by stabilizing the AKT regulators PTEN and PHLPP2.Graphical Abstract: http://cancerres.aacrjournals. org/content/canres/79/1/47/F1.large. jpg.
Genetic structure and diversity of Polylepis australis (Rosaceae) tree populations from central Argentina: Implications for forest conservation

Abstract Worldwide, large areas of forest are being transformed to other land cover types and the resulting fragmented populations may suffer from restricted gene flow leading to genetic pauperization and increased inbreeding. To assess the genetic constitution of fragmented Polylepis australis mountain forests of central Argentina, analyses of the structure and diversity of ISSR markers were carried out for 90 trees distributed throughout five river basins with differing degrees of fragmentation. Overall, average polymorphism (P) ranged between 87.2 and 94.9% (95% criterion) while marker diversity index (M) varied between 0.35 and 0.39; values which are comparable with other wind-pollinated tree species. Analysis of molecular variance (AMOVA) revealed that most genetic variation occurred within river basins (97.8%), with only a little occurring between river basins (2.2%; ΦST = 0.02). In addition, Mantel’s test indicated that P. australis does not follow the usual pattern of isolation by distance; instead the UPGMA method showed that trees from the two most degraded river basins formed a group while trees from the three better preserved basins formed another. As such, either effective pollen flow has maintained high levels of genetic diversity, or present day genetic variability is a remnant of a recently fragmented ancestral panmictic population. We conclude that, at present, genetic degradation in P. australis populations of central Argentina is not as important as ecological degradation – such as soil loss, intensive browsing by livestock or increased frequencies of wildfires, and that genetic variability is still fully available for forest restoration.
Spoken Content Retrieval: A Survey of Techniques and Technologies

Speech media, that is, digital audio and video containing spoken content, has blossomed in recent years. Large collections are accruing on the Internet as well as in private and enterprise settings. This growth has motivated extensive research on techniques and technologies that facilitate reliable indexing and retrieval. Spoken content retrieval (SCR) requires the combination of audio and speech processing technologies with methods from information retrieval (IR). SCR research initially investigated planned speech structured in document-like units, but has subsequently shifted focus to more informal spoken content produced spontaneously, outside of the studio and in conversational settings. This survey provides an overview of the field of SCR encompassing component technologies, the relationship of SCR to text IR and automatic speech recognition and user interaction issues. It is aimed at researchers with backgrounds in speech technology or IR who are seeking deeper insight on how these fields are integrated to support research and development, thus addressing the core challenges of SCR.