Miracle-dz/UniFAR-FTUs huggingface dataset:
Clustering properties of a type-selected volume-limited sample of galaxies in the CFHTLS

We present an investigation of the clustering of the faint (i � < 24.5) field galaxy population in the redshift range 0.2 < z < 1.2. Using 100 000 precise photometric redshifts extracted from galaxies in the four ultra-deep fields of the Canada-France Legacy Survey, we construct a set of volume-limited galaxy samples. We use these catalogues to study in detail the dependence of the amplitude Aw and slope δ of the galaxy correlation function w on absolute MB rest-frame luminosity, redshift, and best-fitting spectral type (or, equivalently, rest-frame colour). Our derived comoving correlation lengths for magnitude-limited samples are in excellent agreement with measurements made in spectroscopic surveys. Our main conclusions are as follows: 1. the comoving correlation length for all galaxies with −19 < MB − 5l ogh < −22 declines steadily from z ∼ 0. 3t oz ∼ 1; 2. at all redshifts and luminosity ranges, galaxies with redder rest-frame colours have clustering amplitudes from two and three times higher than bluer ones; 3. for both the red and blue galaxy populations, the clustering amplitude is invariant with redshift for bright galaxies (−19 < MB − 5l ogh < −22); 4. at z ∼ 0.5 for less luminous galaxies with MB − 5l ogh ∼− 19 we find higher clustering amplitudes of ∼6 h −1 Mpc; 5. the relative bias between redder and bluer rest-frame populations increases gradually towards fainter magnitudes. Among the most important implications of these results is that although the full galaxy population traces the underlying dark matter distribution quite well (and is therefore quite weakly biased), redder, older galaxies have clustering lengths that are almost invariant with redshift are quite strongly biased by z ∼ 1.
Temporal and computerized psycholinguistic analysis of the blog of a Chinese adolescent suicide.

BACKGROUND Text analysis of personal documents provides insight into the cognition of those who complete suicide. Many personal documents are digitalized and easily found on the Internet, which can be used to advance suicide research. AIMS (1) To examine the temporal relationships between posting intensity and language use to sketch the suicidal process of a young man on the basis of his blog entries. (2) To investigate whether digitalized personal documents and paper documents of suicide cases have similar or different language patterns. METHOD Firstly, 193 blog entries of a 13-year-old boy posted during the year prior to his suicide were analyzed using the Chinese Linguistic Inquiry and Word Count (CLIWC) program. The temporal relationships between posting intensity and language use were illustrated by time series visualization. Secondly, the findings of this case study were compared with previous case studies from a systematic search of three Ovid databases. RESULTS Posting frequency and language use in the blog helped sketch the suicidal process of the young boy. In this case study, the ratio of positive to negative emotion words was associated with the posting trend. Progressive self-referencing appeared to be a primary predictive sign of suicide. However, the comparison did not show other clearly consistent patterns. CONCLUSION Digitalized personal documents, when interpreted with other information of the individual, provide insight into the suicidal process of completed suicides. This study extends the findings of psycholinguistic analyses of suicides to the Chinese social context and online document form.
Mining fuzzy association rules: interestingness measure and algorithm

Discovering association rules is an important task of data mining research. Mining traditional association rules is built upon transaction databases. This technique, however, has some limitations. Each transaction merely contains binary items with each item either present or absent in a transaction. Another limitation is that only positive association rules are discovered. Mining fuzzy association rules and discovering negative association rules have been developed to overcome these limitations, respectively. In this paper, we combine these two approaches to propose a novel approach for mining both positive and negative fuzzy association rules. The interestingness measure for both positive and negative fuzzy association rule is proposed, the algorithm for mining these rules is described.
Long-Term Live Cell Imaging and Automated 4D Analysis of Drosophila Neuroblast Lineages

The developing Drosophila brain is a well-studied model system for neurogenesis and stem cell biology. In the Drosophila central brain, around 200 neural stem cells called neuroblasts undergo repeated rounds of asymmetric cell division. These divisions typically generate a larger self-renewing neuroblast and a smaller ganglion mother cell that undergoes one terminal division to create two differentiating neurons. Although single mitotic divisions of neuroblasts can easily be imaged in real time, the lack of long term imaging procedures has limited the use of neuroblast live imaging for lineage analysis. Here we describe a method that allows live imaging of cultured Drosophila neuroblasts over multiple cell cycles for up to 24 hours. We describe a 4D image analysis protocol that can be used to extract cell cycle times and growth rates from the resulting movies in an automated manner. We use it to perform lineage analysis in type II neuroblasts where clonal analysis has indicated the presence of a transit-amplifying population that potentiates the number of neurons. Indeed, our experiments verify type II lineages and provide quantitative parameters for all cell types in those lineages. As defects in type II neuroblast lineages can result in brain tumor formation, our lineage analysis method will allow more detailed and quantitative analysis of tumorigenesis and asymmetric cell division in the Drosophila brain.
Hospice utilization in nursing homes: association with facility end-of-life care practices.

OBJECTIVES Hospice care provided to nursing home (NH) residents has been shown to improve the quality of end-of-life (EOL) care. However, hospice utilization in NHs is typically low. This study examined the relationship between facility self-reported EOL practices and residents' hospice use and length of stay. DESIGN The study was based on a retrospective cohort of NH residents. Medicare hospice claims, Minimum Data Set, Online Survey, Certification, and Reporting system and the Area Resource File were linked with a survey of directors of nursing (DON) regarding institutional EOL practice patterns (EOLC Survey). SETTING AND PARTICIPANTS In total, 4,540 long-term-care residents who died in 2007 in 290 facilities which participated in the EOLC Survey were included in this study. MEASUREMENTS We measured NHs' tendency to offer hospice to residents and to initiate aggressive treatments (hospital transfers and feeding tubes) for EOL residents based on DON's responses to survey items. Residents' hospice utilization was determined using Medicare hospice claims. RESULTS The prevalence of hospice use was 18%. The average length of stay was 93 days. After controlling for individual risk factors, facilities' self-reported practice measures associated with residents' likelihood of using hospice were tendency to offer hospice (p = .048) and tendency to hospitalize (p = .002). Residents in NHs reporting higher tendency to hospitalize tended to enroll in hospice closer to death. CONCLUSION Residents' hospice utilization is not only associated with individual and facility characteristics but also with NHs' self-reported EOL care practices. Potential interventions to effect greater use of hospice may need to focus on facility-level care processes and practices.
A simple approach for estimating solution bounds of the continuous Lyapunov equation

By using linear algebraic techniques, this paper proposes a simple approach to derive new matrix bounds of the solution of the continuous algebraic Lyapunov equation (CALE). Both upper and lower matrix bounds are presented. Compared to existing works on this topic, these newly obtained bounds are less restrictive and easier to calculate. A numerical example is also given on order to compare the tightness of the presented results with those appearing in the literature.
Effect of temporal collaboration network, maintenance activity, and experience on defect exposure

Context: Number of defects fixed in a given month is used as an input for several project management decisions such as release time, maintenance effort estimation and software quality assessment. Past activity of developers and testers may help us understand the future number of reported defects. Goal: To find a simple and easy to implement solution, predicting defect exposure. Method: We propose a temporal collaboration network model that uses the history of collaboration among developers, testers, and other issue originators to estimate the defect exposure for the next month. Results: Our empirical results show that temporal collaboration model could be used to predict the number of exposed defects in the next month with R2 values of 0.73. We also show that temporality gives a more realistic picture of collaboration network compared to a static one. Conclusions: We believe that our novel approach may be used to better plan for the upcoming releases, helping managers to make evidence based decisions.
The Mass Distribution of the Most Luminous X-Ray Cluster RXJ 1347.5-1145 From Gravitational Lensing

Galaxy cluster mass distribution are potentially useful probes of $\Omega_0$ and the nature of the dark matter. Large clusters will distort the observed shapes of background galaxies through gravitational lensing allowing the measurement of the cluster mass distributions. In this paper we describe weak statistical lensing measurements of the most luminous X-ray cluster known, RXJ1347.5-1145 at z=0.45. We detect a shear signal in the background galaxies at a signal-to-noise ratio of 7.5 in the radial range $120 \le r \le 1360 h^{-1}$ kpc. A mass map of the cluster reveals an 11$\sigma$ peak in the cluster mass distribution consistent with the position of the central dominant galaxy and 3 $\sigma$ evidence for the presence of a subcluster at a projected radius of 1.3 - 1.7 h^{-1} Mpc from the cluster center. In the range $120 \le r \le 1360 h^{-1}$ kpc mass traces light, and the azimuthally averaged cluster mass and light profiles are consistent with singular isothermal spheres with M(r<1 Mpc) = $1.7 \pm 0.4 \times 10^{15} M_\odot$. Assuming an isotropic velocity distribution function, the implied velocity dispersion is $\sigma = 1500 \pm 160 km s^{-1}$. The rest-frame mass-to-light ratio is $M/L_B = 200 \pm 50 h M_\odot/L_{B\odot}$. The lensing mass estimate is almost twice as high as a previously determined X-ray mass estimate.
The Chemical Evolution of High‐z Galaxies from the Relative Abundances of N, Si, S, and Fe in Damped Lyα Systems

Abundances of N, Si, S, and Fe for 45 damped Lyα systems (DLAs) have been compiled and detailed one‐zone chemical evolution models have been constructed for 30 of them. Assuming continuous star formation, we found that final abundances in each object can be modeled by adjusting only two parameters, i.e., its time‐averaged star formation efficiency and evolutionary age, with ranges in our sample of 0.01–1.5 Gyr−1 and 0.18–2.0 Gyr, respectively. In addition, average star formation efficiency and evolutionary age appear to be anticorrelated for the sample, suggesting that the star formation efficiency in a typical DLA decreases with age. At the same time, N/Si in DLAs is directly linked to an object’s age. There is an apparent bimodality in the distribution of N/Si values which could be the result of a statistical accident or an effect produced by a truncated or flattened initial mass function. We find that the mean and small dispersion of Si/Fe values is related to the generally young ages of DLAs, wherein not all Fe has yet been expelled by Type Ia supernovae. Finally, the large scatter and generally lower values of N/Si of DLAs with respect to blue compact galaxies, despite their partially overlapping metallicities, indicate that DLAs are generally younger than the latter.
Sex Determination of the Live Rubber Plantation Litter Beetle, Luprops tristis: A Novel Method

Abstract Absence of a discrete, externally visible gender-specific character makes sex determination of the rubber plantation litter beetle, Luprops tristis Fabricius (Coleoptera: Tenebrionidae: Lupropini), a difficult task. A new method based on a distinct notch on the 8th sternite of males that can be used to distinguish the sexes is described. This is the only method by which accurate sex determination of L. tristis could be done when culturing of live specimens is required. All alternative methods were found to be either inaccurate or led to higher mortality.
Recurrent Neural Network based Part-of-Speech Tagger for Code-Mixed Social Media Text

This paper describes Centre for Development of Advanced Computing's (CDACM) submission to the shared task-'Tool Contest on POS tagging for Code-Mixed Indian Social Media (Facebook, Twitter, and Whatsapp) Text', collocated with ICON-2016. The shared task was to predict Part of Speech (POS) tag at word level for a given text. The code-mixed text is generated mostly on social media by multilingual users. The presence of the multilingual words, transliterations, and spelling variations make such content linguistically complex. In this paper, we propose an approach to POS tag code-mixed social media text using Recurrent Neural Network Language Model (RNN-LM) architecture. We submitted the results for Hindi-English (hi-en), Bengali-English (bn-en), and Telugu-English (te-en) code-mixed data.
Access to Credit and Stock Market Participation

We exploit staggered removals of interstate banking restrictions to identify the effect of access to credit on households’ stock market participation and asset allocation. Using micro data on retail brokerage accounts and proprietary data on personal credit histories, we document two effects of the loosening of credit constraints on households’ financial decisions. First, households enter the stock market by opening new brokerage accounts. Second, households increase their asset allocation to risky assets and reduce their allocation to cash, consistent with a lower need for precautionary savings. The effects are stronger for younger and more credit constrained investors. Overall, we establish one of the first direct links between access to credit and households’ investment decisions.
Similarity of Spatial Scenes

Similarity is the assessment of deviation from equivalence. Spatial similarity is complex due to the numerous constraining properties of geographic objects and their embedding in space. Among these properties, the spatial relations between geographic objects—topological, directional, and metrical—are critical, because they capture the essence of a scene’s structure. These relations can be categorized as a basis for similarity assessment. This paper describes a computational method to formally assess the similarity of spatial scenes based on the ordering of spatial relations. One scene is transformed into another through a sequence of gradual changes of spatial relations. The number of changes required yields a measure that is compared against others, or against a pre-existing scale. Two scenes that require a large number of changes are less similar than scenes that require fewer changes.
Diagnosis of bacterial endophthalmitis by broad-range quantitative PCR

Aim To measure the bacterial genome in ocular fluids and to analyse the clinical relevance of infectious endophthalmitis. Methods Nineteen ocular fluid samples (eight aqueous humour and 11 vitreous fluid samples) were collected from 19 patients with suspected bacterial endophthalmitis. Fifty ocular samples from uveitis patients were also collected along with 40 samples from patients without ocular inflammation and used as controls. Bacterial ribosomal DNA (16S rDNA) was measured by a quantitative PCR assay. Results Bacterial 16S rDNA was detected in patients with clinically suspected bacterial endophthalmitis (18/19, 95%). With the exception of one case, high copy numbers of bacterial DNA were detected (1.7×103–1.7×109 copies/ml) in these patients. There were 10 samples (53%) with positive bacterial cultures while there were nine samples (47%) with positive Gram-staining. Real-time PCR detected bacterial 16S rDNA in three (6%) of the 50 samples from the control uveitis patients. In addition, none of the samples from the control patients without intraocular inflammation were positive. Conclusions Quantitative broad-range PCR of bacterial 16S rDNA is a useful tool for diagnosing bacterial endophthalmitis.
A Semantic Feature for Verbal Predicate and Semantic Role Labeling Using SVMs

This paper shows that semantic role labeling is a consequence of accurate verbal predicate labeling. In doing so, the paper presents a novel type of semantic feature for verbal predicate labeling using a new corpus. The corpus contains verbal predicates, serving as verb senses, that have semantic roles associated with each argument. Although much work has been done using feature vectors with machine learning algorithms for various types of semantic classification tasks, past work has primarily shown effective use of syntactic or lexical information. Our new type of semantic feature, ontological regions, proves highly effective when used in addition to or in place of syntactic and lexical features for support vector classification, increasing accuracy of verbal predicate labeling from 65.4% to 78.8%.
Population III Star Formation in a ΛCDM Universe. II. Effects of a Photodissociating Background

We examine aspects of primordial star formation in the presence of a molecular hydrogen-dissociating ultraviolet background. We compare a set of AMR hydrodynamic cosmological simulations using a single cosmological realization, but with a range of ultraviolet background strengths in the Lyman-Werner band. This allows us to study the effects of Lyman-Werner radiation on suppressing H2 cooling at low densities, as well as the high-density evolution of the collapsing cloud core in a self-consistent cosmological framework. We find that the addition of a photodissociating background results in a delay of the collapse of high-density gas at the center of the most massive halo in the simulation and, as a result, an increase in the virial mass of this halo at the onset of baryon collapse. We find that, contrary to previous results, Population III star formation is not suppressed for J21 ⩾ 0.1, but occurs even with backgrounds as high as J21 = 1. We find that H2 cooling leads to collapse despite the depressed core molecular hydrogen fractions due to the elevated H2 cooling rates at T = 2–5 × 103 K. We observe a relationship between the strength of the photodissociating background and the rate of accretion onto the evolving protostellar cloud core, with higher LW background fluxes resulting in higher accretion rates. Finally, we find that the collapsing cloud cores in our simulations do not fragment at densities below n ∼ 1010 cm−3, regardless of the strength of the LW background, suggesting that Population III stars forming in halos with Tvir ∼ 104 K may still form in isolation.
Social influence theory and client-therapist matching

Although Strong's (1968) model of social influence in therapy has been extensively examined in terms of what persuades clients to perceive therapists as attractive, expert, or trustworthy agents of influence, the contribution of client characteristics to such perceptions has generally been ignored. Compounding this omission, most investigations in the area have been analogue in design, with little ecological validity. The present series of studies sought to elucidate the model described through the utilization of genuine therapy settings, genuine clients and genuine therapists and through the inclusion of both client and therapist characteristics in the generation of explanatory variables. Two areas of research not before accurately examined in the light of social influence theory are those relating to client-therapist need compatibility and client-therapist sex-role orientations. As evidence in the literature had indicated that each of these variables might be potentially consequential in the determination of adjudged therapeutic outcome, the power of these variables to influence client and/or therapist evaluations of therapy was explored. To resolve whether genuine clients considered sex-role orientation an important therapist attribute, a first study replicated analogue research which had shown that female students (acting as clients) rated feminine sex-role
Quarkonium spectroscopy and perturbative QCD: Massive quark loop effects

We study the spectra of the bottomonium and Bc states within perturbative QCD up to order � 4 . The O(�QCD) renormalon cancellation between the static potential and the pole mass is performed in the "-expansion scheme. We extend our previous analysis by including the (dominant) effects of non-zero charm-quark mass in loops up to the next-to-leading non-vanishing order " 3 . We fix the b-quark MS mass mb ≡ m MS (m MS ) on �(1S) and compute the higher levels. The effect of the charm mass decreases mb by about 11 MeV and increases the n = 2 and n = 3 levels by about 70–100 MeV and 240–280 MeV, respectively. We provide an extensive quantitative analysis. The size of non-perturbative and higher order contributions is discussed by comparing the obtained predictions with the experimental data. An agreement of the perturbative predictions and the experimental data depends crucially on the precise value (inside � �
Angelica gigas Nakai and Soluplus-Based Solid Formulations Prepared by Hot-Melting Extrusion: Oral Absorption Enhancing and Memory Ameliorating Effects

Oral solid formulations based on Angelica gigas Nakai (AGN) and Soluplus were prepared by the hot-melting extrusion (HME) method. AGN was pulverized into coarse and ultrafine particles, and their particle size and morphology were investigated. Ultrafine AGN particles were used in the HME process with high shear to produce AGN-based formulations. In simulated gastrointestinal fluids (pH 1.2 and pH 6.8) and water, significantly higher amounts of the major active components of AGN, decursin (D) and decursinol angelate (DA), were extracted from the HME-processed AGN/Soluplus (F8) group than the AGN EtOH extract (ext) group (p < 0.05). Based on an in vivo pharmacokinetic study in rats, the relative oral bioavailability of decursinol (DOH), a hepatic metabolite of D and DA, in F8-administered mice was 8.75-fold higher than in AGN EtOH ext-treated group. In scopolamine-induced memory-impaired mice, F8 exhibited a more potent cognitive enhancing effect than AGN EtOH ext in both a Morris water maze test and a passive avoidance test. These findings suggest that HME-processed AGN/Soluplus formulation (F8) could be a promising therapeutic candidate for memory impairment.