KOLIKO SU LAGANI TZV. LAGANI GLAGOLI U HRVATSKOM?

U radu, utemeljenom na konstrukcijskom pristupu jeziku koji su ponajprije zacrtali Goldberg (1996) i Jackendoff (2010), propituje se status specifičnih glagolsko-imenskih konstrukcija koje se obično nazivaju konstrukcije s laganim glagolima (engl. light verb constructions, Butt 2003). Nakon kratkog teorijskog pregleda radova, među kojima neki pripadaju angloameričkoj lingvističkoj misli (Gradečak-Erdeljić & Brdar 2012, Wittenberg et al. 2014), dok se drugi uklapaju u južnoslavističku strukturalističku tradiciju (Radovanović 1990, Silić & Pranjković 2005), u ovom se prilogu donose preliminarni rezultati niza psiholingvističkih istraživanja provedenih na skupini od 60 govornika hrvatskoga jezika. Istraživanje je provedeno metodom pismene elicitacije, pri čemu se od govornika, između ostaloga, tražilo da, a) ako to smatraju mogućim, konstrukcije s laganim glagolima (odnosno kontrolne konstrukcije) povežu s jednorječnim glagolskim parnjacima, b) odrede stupanj ekvivalencije između tih dvaju tipova jezičnih jedinica, c) odrede stupanj predočivosti (apstraktnost i konkretnost) konstrukcija. Središnji dio ovoga rada upravo je prikaz dijela podataka koji su proizašli iz toga istraživanja za koji se nadamo da će poslužiti kao osnova za praktična i teorijska istraživanja konstrukcija s laganim glagolima u budućnosti

KOLIKO SU LAGANI TZV. LAGANI GLAGOLI U HRVATSKOM?

Grounded in the constructionist approach to language, as principally represented in works by Goldberg (1996) and Jackendoff (2010), this article examines some important features of the so-called light verb constructions (Butt 2003). Following a short overview of certain observations made by various theoreticians, ranging from those aligned with contemporary Anglo-American schools of linguistic thought (GradečakErdeljić & Brdar 2012, Wittenberg et al. 2014) to those belonging to the South Slavic structuralist tradition (Radovanović 1990, Silić & Pranjković 2005), the present paper proceeds to provide a preliminary analysis of a selection of results obtained through a psycholinguistic experiment on Croatian light verb constructions. Confronted with a formal written elicitation task, a total of 60 subjects, all of whom were speakers of Croatian, were, inter alia, asked to a) match, if deemed possible, a series of light verb constructions (as well as a series of filler constructions) with their monolexemic verbal counterparts b) to rate the degree of equivalence between the matched units and c) to rate them on scale of abstractness and concreteness. The data presented is accompanied by a short discussion and is intended to serve as the basis for subsequent practical and theoretical research on light verb constructions.U radu, utemeljenom na konstrukcijskom pristupu jeziku koji su ponajprije zacrtali Goldberg (1996) i Jackendoff (2010), propituje se status specifičnih glagolsko-imenskih konstrukcija koje se obično nazivaju konstrukcije s laganim glagolima (engl. light verb constructions, Butt 2003). Nakon kratkog teorijskog pregleda radova, među kojima neki pripadaju angloameričkoj lingvističkoj misli (Gradečak-Erdeljić & Brdar 2012, Wittenberg et al. 2014), dok se drugi uklapaju u južnoslavističku strukturalističku tradiciju (Radovanović 1990, Silić & Pranjković 2005), u ovom se prilogu donose preliminarni rezultati niza psiholingvističkih istraživanja provedenih na skupini od 60 govornika hrvatskoga jezika. Istraživanje je provedeno metodom pismene elicitacije, pri čemu se od govornika, između ostaloga, tražilo da, a) ako to smatraju mogućim, konstrukcije s laganim glagolima (odnosno kontrolne konstrukcije) povežu s jednorječnim glagolskim parnjacima, b) odrede stupanj ekvivalencije između tih dvaju tipova jezičnih jedinica, c) odrede stupanj predočivosti (apstraktnost i konkretnost) konstrukcija. Središnji dio ovoga rada upravo je prikaz dijela podataka koji su proizašli iz toga istraživanja za koji se nadamo da će poslužiti kao osnova za praktična i teorijska istraživanja konstrukcija s laganim glagolima u budućnosti

Is NGC 6752 Hosting a Single or a Binary Black Hole?

The five millisecond pulsars that inhabit NGC 6752 display locations or accelerations remarkably different with respect to all other pulsars known in globular clusters. This may reflect the occurrence of an uncommon dynamics in the cluster core that could be attributed to the presence of a massive perturber. We here investigate whether a single intermediate-mass black hole, lying on the extrapolation of the mass versus sigma relation observed in galaxy spheroids, or, a less massive black hole binary could play the requested role.Comment: To appear in "Carnegie Observatories Astrophysics Series, Vol. 1: Coevolution of Black Holes and Galaxies," ed. L. C. Ho (Pasadena: Carnegie Observatories, http://www.ociw.edu/ociw/symposia/series/symposium1/proceedings.html

Massively-Parallel Feature Selection for Big Data

We present the Parallel, Forward-Backward with Pruning (PFBP) algorithm for feature selection (FS) in Big Data settings (high dimensionality and/or sample size). To tackle the challenges of Big Data FS PFBP partitions the data matrix both in terms of rows (samples, training examples) as well as columns (features). By employing the concepts of $p$-values of conditional independence tests and meta-analysis techniques PFBP manages to rely only on computations local to a partition while minimizing communication costs. Then, it employs powerful and safe (asymptotically sound) heuristics to make early, approximate decisions, such as Early Dropping of features from consideration in subsequent iterations, Early Stopping of consideration of features within the same iteration, or Early Return of the winner in each iteration. PFBP provides asymptotic guarantees of optimality for data distributions faithfully representable by a causal network (Bayesian network or maximal ancestral graph). Our empirical analysis confirms a super-linear speedup of the algorithm with increasing sample size, linear scalability with respect to the number of features and processing cores, while dominating other competitive algorithms in its class

Improving Lung Cancer Screening Selection:The HUNT Lung Cancer Risk Model for Ever-Smokers Versus the NELSON and 2021 United States Preventive Services Task Force Criteria in the Cohort of Norway: A Population-Based Prospective Study

Background: Improving the method for selecting participants for lung cancer (LC) screening is an urgent need. Here, we compared the performance of the Helseundersøkelsen i Nord-Trøndelag (HUNT) Lung Cancer Model (HUNT LCM) versus the Dutch-Belgian lung cancer screening trial (Nederlands-Leuvens Longkanker Screenings Onderzoek (NELSON)) and 2021 United States Preventive Services Task Force (USPSTF) criteria regarding LC risk prediction and efficiency. Methods: We used linked data from 10 Norwegian prospective population-based cohorts, Cohort of Norway. The study included 44,831 ever-smokers, of which 686 (1.5%) patients developed LC; the median follow-up time was 11.6 years (0.01–20.8 years). Results: Within 6 years, 222 (0.5%) individuals developed LC. The NELSON and 2021 USPSTF criteria predicted 37.4% and 59.5% of the LC cases, respectively. By considering the same number of individuals as the NELSON and 2021 USPSTF criteria selected, the HUNT LCM increased the LC prediction rate by 41.0% and 12.1%, respectively. The HUNT LCM significantly increased sensitivity (p &lt; 0.001 and p = 0.028), and reduced the number needed to predict one LC case (29 versus 40, p &lt; 0.001 and 36 versus 40, p = 0.02), respectively. Applying the HUNT LCM 6-year 0.98% risk score as a cutoff (14.0% of ever-smokers) predicted 70.7% of all LC, increasing LC prediction rate with 89.2% and 18.9% versus the NELSON and 2021 USPSTF, respectively (both p &lt; 0.001). Conclusions: The HUNT LCM was significantly more efficient than the NELSON and 2021 USPSTF criteria, improving the prediction of LC diagnosis, and may be used as a validated clinical tool for screening selection.</p