Miracle-dz/UniFAR-FTUs huggingface dataset:
Changes in Grandchildren’s Adult Role Statuses and Their Relationships With Grandparents

This study examines the associations between grandchildren’s (N = 1,170) adult role transitions and their contact with, and closeness to, grandparents, by drawing on data from Waves 2 and 3 of the National Survey of Families and Households. Findings indicate that this relationship is frequently contingent on the nature of the adult role in question, a specific dimension of intergenerational solidarity (i.e., contact vs. closeness), lineage, and grandparent’s gender. The effect of grandchildren’s adult roles on grandparent—grandchild ties may also differ for grandsons and granddaughters. The explanations suggested by relevant theoretical perspectives—the saliency of different roles, the similarity of life experiences between generations, and evaluations of adult role transitions—only partially account for the patterns of these associations. Future research should take into consideration the mediating role of parents, the geographic proximity, social opportunities and constraints related to grandchildren’s adult roles, and grandparents’ assistance for grandchildren.
A comprehensive revisit to one class classification

The one class classification (OCC), a special learning framework dealing with the positive and unlabeled dataset, has ubiquitous applications, especially in the era of information-explosion. Since it has aroused researchers' interests from both academia and industry, we provide a comprehensive revisit to algorithms for the OCC from the perspective of methodologies with the ideas of essence behind common-used algorithms uncovered and analyzed in depth. Besides, it is the first time to illustrate the challenges in the domain while some novel ideas are suggested here for further trials or development. Some employments are also involved in the paper and characteristics of methodologies are talked about for broadening the scope of applications. Finally, several topics worthy to research are mentioned in the guideline of literature study.
Nonlocal-to-local convergence rates for strong solutions to a Navier-Stokes-Cahn-Hilliard system with singular potential

The main goal of this paper is to establish the nonlocal-to-local convergence of strong solutions to a Navier--Stokes--Cahn--Hilliard model with singular potential describing immiscible, viscous two-phase flows with matched densities, which is referred to as the Model H. This means that we show that the strong solutions to the nonlocal Model H converge to the strong solution to the local Model H as the weight function in the nonlocal interaction kernel approaches the delta distribution. Compared to previous results in the literature, our main novelty is to further establish corresponding convergence rates. Before investigating the nonlocal-to-local convergence, we first need to ensure the strong well-posedness of the nonlocal Model H. In two dimensions, this result can already be found in the literature, whereas in three dimensions, it will be shown in the present paper. Moreover, in both two and three dimensions, we establish suitable uniform bounds on the strong solutions of the nonlocal Model H, which are essential to prove the nonlocal-to-local convergence results.
Association of human leukocyte antigen polymorphisms with occult hepatitis B virus infection in a Shaanxi Han population

Occult hepatitis B virus (HBV) infection (OBI) is defined as HBV DNA detection in serum or in the liver by sensitive diagnostic tests in HBV surface antigen (HBsAg) negative patients with or without serologic markers of previous HBV exposure. Because the human leukocyte antigen (HLA) system is an integral component of the immune response, we hypothesized that the highly polymorphic HLA genes were the key determinants of HBV persistence and clearance. The present study aimed to calculate the allelic frequency of HLA loci and investigate the association between HLA alleles and the outcome of OBI in Shaanxi Han population in the northwest of China.
On cost-aware monitoring for self-adaptive load sharing

Monitoring is an essential part of any self-adaptive management loop. While providing the necessary information for making management decisions, monitoring itself incurs a cost in terms of the system and network resources committed to this management task. Thus, one can pose a generic question: what is the right amount of monitoring that maximizes its utility for management? This question turns out to be difficult to answer in general. In this paper we focus on quantifying the utility of monitoring for self-adaptive load sharing, where a stream of jobs arrives at a collection of n identical servers. We propose a novel model, that we dubbed an Extended Supermarket Model (ESM) to study the tradeoff between the usefulness of the monitoring information and the cost of obtaining it. We show that for each service request rate, there exists an optimal number of servers that should be monitored to obtain minimal average service time at an optimal cost. Using these findings, we present self-adaptive load-sharing algorithms both for centralized and fully distributed settings and evaluate these algorithms using simulations and a real testbed. Our results show that in realistic scenarios, where monitoring cost is not negligible, the self-adaptive load balancing is clearly superior to any cost-oblivious load-sharing mechanisms. We also demonstrate that in a fully distributed setting, where no dedicated monitoring component is employed, our self-adaptive heuristics perform very well with respect to the current common practice.
Do As I Say and Not As I Think: Parent Socialisation of Lie‐Telling Behaviour

This study explored parent (N = 146) perspectives about situations in which they think it is acceptable to lie, how this corresponds to how they socialise their children about lie-telling and their children's actual behaviour. Results indicated the methods parents report using to teach their children about the acceptability of lie-telling are consistent with what they report teaching their children about lie-telling overall. Also, the frequency of lies that children told (N = 88) to protect themselves from psychological distress or conflict differed between those who were taught that lying is sometimes acceptable versus those taught it is never acceptable.
Single-Shot Single-Beam Coherent Raman Scattering Thermometry Based on Air Lasing

Thermometric techniques with high accuracy, fast response speed and ease of implementation are desirable for the study of dynamic combustion environments, transient reacting flows, and non-equilibrium plasmas. Herein, single-shot single-beam coherent Raman scattering (SS-CRS) thermometry is developed, for the first time to our knowledge, by using air lasing as a probe. It's proved that the air-lasing-assisted CRS signal has a high signal-to-noise ratio enabling single-shot measurements at a 1 kHz repetition rate. The SS-CRS thermometry consistently exhibits precision better than 2% at different temperatures, but the inaccuracy grows with the increase in temperature. The high detection precision, 1 kHz acquisition rate and easy-to-implement single-beam scheme are achieved thanks to the unique temporal, spectral and spatial characteristics of air lasing. This work opens a novel avenue for high-speed CRS thermometry, holding tremendous potential for fast diagnostics of transient reacting flows and plasmas.
Progesterone receptor in the chick oviduct: an immunohistochemical study with antibodies to distinct receptor components

We performed immunohistochemical studies of chicken oviduct after different fixation procedures, by using antibodies against the progesterone receptor: polyclonal antibodies IgG-G3 against the "8S" form (an oligomere containing progesterone-binding and nonprogesterone- binding units), polyclonal antibodies IgG-RB against the progesterone- binding B subunit, and monoclonal BF4 against the non-progesterone- binding 90,000-mol-wt protein component. Chickens were immature animals with or without estrogen priming, and with or without progesterone treatment. The antibodies were revealed by means of an immunoperoxidase technique that used the avidin-biotin-peroxidase complex, and controls were performed by presaturation of antibodies with the purified 8S- progesterone receptor, the B subunit, and 90,000-mol-wt protein. The progesterone receptor was detected not only in well-characterized target tissues, i.e., in glands and luminal epithelium, but also in stromal cells (some displayed the strongest reaction), in mesothelium, and in fibers of smooth muscles. Only in cell nuclei, whether or not the animals received an injection of progesterone was an antigen revealed corresponding to the B subunit (and/or to the A subunit, because there is immunoreactivity of IgG-RB with both hormone-binding subunits A and B). The 90,000-mol-wt protein was revealed in both cytoplasm and nuclei. These immunohistological data suggest that the concept of steroid action that necessarily involves the original formation of the hormone-receptor complexes in the cytoplasm before translocation to the nucleus, may have to be revised.
Characterization of the hemolytic activity of Haemophilus ducreyi

H. ducreyi is the causative agent of chancroid, a genital ulcer disease most prevalent in developing countries. Chancroid enhances the heterosexual transmission of human immunodeficiency virus and is identified in focal outbreaks in the United States, but little is known about its pathogenesis. We studied the hemolysin produced by H. ducreyi because this molecule might be an important virulence factor in the pathogenesis of chancroid. Ten strains of H. ducreyi were tested on newly devised blood agar plates and were found to have hemolytic activity. We examined the hemolytic activity of H. ducreyi 35000 further and found that it was heat labile, cell associated, greatest at pH 7.0, and produced in logarithmic- but not stationary-phase cultures. Using transposons Tn916 and Tn1545-delta 3, we have isolated three classes of transposon mutants of strain 35000: those with no detectable hemolytic activity, those with reduced hemolytic activity, and those with enhanced hemolytic activity. Transposon insertions in the nonhemolytic mutants were located in a DNA sequence which hybridized to the Proteus mirabilis hemolysin gene. Analysis of clones containing overlapping sections of this region served to further localize the H. ducreyi hemolysin gene and allow its expression in Escherichia coli and complementation of the nonhemolytic defect in an H. ducreyi mutant. These experiments indicate that H. ducreyi 35000 produces a hemolysin that is related to the calcium-independent hemolysin produced by P. mirabilis. Further experiments are needed to define the similarity of the H. ducreyi hemolysin to other calcium-independent hemolysins and to determine its role in the pathogenesis of chancroid.
Carrier confinement and alloy disorder exacerbate Auger-Meitner recombination in AlGaN ultraviolet light-emitting diodes

The quantum efficiency of AlGaN ultraviolet light-emitting diodes (LEDs) declines (droops) at increasing operating powers due to Auger-Meitner recombination (AMR). Using first-principles density-functional theory, we show that indirect AMR mediated by electron-phonon coupling and alloy disorder can induce bulk $C$ coefficients as large as $\sim10^{-31}$ cm$^6$/s. Furthermore, we find that the confinement of carriers by polarization fields within quantum wells severely relaxes crystal-momentum conservation, which exacerbates the rate of AMR over radiative recombination by an order of magnitude relative to the bulk. This results in a striking decrease in quantum efficiency at high power. Suppressing polarization fields and jointly increasing the well width would greatly mitigate AMR and efficiency droop.
Impact of Decoherence on Average Correlation

This article presents a comprehensive study of the impact of decoherence on the average correlation for pure quantum states. We explore two primary mechanisms of decoherence: phase damping and amplitude damping, each having distinct effects on quantum systems. Phase damping, which describes the loss of quantum coherence without energy loss, primarily affects the phase relationships between the components of a quantum system while amplitude damping involves energy dissipation and also affects the state's occupation probabilities. We show that the average correlation follows a predictable decaying pattern in both scenarios. Our analysis can be understood in the context of quantum computing, by focusing on how phase damping influences the entanglement and correlation between qubits, key factors in quantum computational efficiency and error correction protocols.
Ontological foundations for structural conceptual models

In this thesis, we aim at contributing to the theory of conceptual modeling and ontology representation. Our main objective here is to provide ontological foundations for the most fundamental concepts in conceptual modeling. These foundations comprise a number of ontological theories, which are built on established work on philosophical ontology, cognitive psychology, philosophy of language and linguistics. Together these theories amount to a system of categories and formal relations known as a foundational ontology
Rapid Assessment of Cerebral Autoregulation by Near-Infrared Spectroscopy and a Single Dose of Phenylephrine

Rapid bedside determination of cerebral blood pressure autoregulation (AR) may improve clinical utility. We tested the hypothesis that cerebral Hb oxygenation (HbDiff) and cerebral Hb volume (HbTotal) measured by near-infrared spectroscopy (NIRS) would correlate with cerebral blood flow (CBF) after single dose phenylephrine (PE). Critically ill patients requiring artificial ventilation and arterial lines were eligible. During rapid blood pressure rise induced by i.v. PE bolus, ΔHbDiff and ΔHbTotal were calculated by subtracting values at baseline (normotension) from values at peak blood pressure elevation (hypertension). With the aid of NIRS and bolus injection of indocyanine green, relative measures of CBF, called blood flow index (BFI), were determined during normotension and during hypertension. BFI during hypertension was expressed as percentage from BFI during normotension (BFI%). Autoregulation indices (ARIs) were calculated by dividing BFI%, ΔHbDiff, and ΔHbTotal by the concomitant change in blood pressure. In 24 patients (11 newborns and 13 children), significant correlations between BFI% and ΔHbDiff (or ΔHbTotal) were found. In addition, the associations between Hb-based ARI and BFI%-based ARI were significant with correlation coefficients of 0.73 (or 0.72). Rapid determination of dynamic AR with the aid of cerebral Hb signals and PE bolus seems to be reliable.
Post-Heading Heat Stress in Rice of South China during 1981-2010

Frequent extreme heat events are the serious threat to rice production, but the historical trend of heat stress associated with phenology shift and its impact on rice yield over a long period are poorly known. Based on the analysis of observed climate and phenology data from 228 stations in South China during 1981-2010, the spatio-temporal variation of post-heading heat stress was investigated among two single-season rice sub-regions in the northern Middle and Lower Reaches of Yangtze River (S-NMLYtz) and Southwest Plateau (S-SWP), and two double-season early rice sub-regions in the southern Middle and Lower Reaches of Yangtze River (DE-SMLYtz) and Southern China (DE-SC). Post-heading heat stress was more severe in DE-SMLYtz, west S-NMLYtz and east S-SWP than elsewhere, because of rice exposure to the hot season during post-heading stage. The spatial variation of post-heading heat stress was greater in single-season rice region than in double-season early rice region due to the greater spatial variation of heading and maturity dates. Post-heading heat stress increased from 1981 to 2010 in most areas, with significant increases in the east of double-season early rice region and west S-SWP. Phenology shift during 1981-2010 mitigated the increasing trends of heat stress in most areas, but not in west S-SWP. Post-heading heat stress played a dominated role in the reduction of rice yield in South China. Grain yield was more sensitive to post-heading heat stress in double-season early rice region than that in single-season rice region. Rice yield decreased by 1.5%, 6.2%, 9.7% and 4.6% in S-NMLYtz, S-SWP, DE-SMLYtz and DE-SC, respectively, because of post-heading heat stress during 1981-2010, although there were some uncertainties. Given the current level and potential increase of post-heading heat stress in South China, the specific adaptation or mitigation strategies are necessary for different sub-regions to stabilize rice production under heat stress.
Association of schizotypy with striatocortical functional connectivity and its asymmetry in healthy adults

Altered striatocortical functional connectivity has been suggested to be a trait marker of schizophrenia spectrum disorders, including schizotypal personality. In the present study, we examined the association between schizotypal personality traits and striatocortical functional connectivity in a sample of healthy adults. The German version of the Schizotypal Personality Questionnaire was obtained from N = 111 participants recruited from the general public. Resting‐state functional magnetic resonance imaging scans were acquired at 3T. Six striatal seed regions in each hemisphere were defined and striatocortical resting‐state functional connectivity (rsFC) as well as its lateralization indices was calculated. Regression analysis showed that schizotypy scores, especially from the positive dimension, were positively correlated with rsFC between ventral striatum and frontal cortex and negatively associated with rsFC between dorsal striatum and posterior cingulate. No significant associations were found between negative dimension schizotypy and striatocortical rsFC. We also found positive correlations between schizotypy total scores and lateralization index of right dorsal caudate and right rostral putamen. In conclusion, the present study extends previous evidence of altered striatocortical rsFC in the schizophrenia spectrum. The observed associations resemble in part the alterations observed in psychotic patients and their relatives, providing support for dimensionality from schizotypal personality to the clinical disorder. Hum Brain Mapp 39:288–299, 2018. © 2017 Wiley Periodicals, Inc.
Evidence of an Agrin Receptor in Cortical Neurons

Agrin plays a key role in directing the differentiation of the vertebrate neuromuscular junction. Understanding agrin function at the neuromuscular junction has come via molecular genetic analyses of agrin as well as identification of its receptor and associated signal transduction pathways. Agrin is also expressed by many populations of neurons in brain, but its role remains unknown. Here we show, in cultured cortical neurons, that agrin induces expression of the immediate early gene c-fos in a concentration-dependent and saturable manner, as expected for a signal transduction pathway activated by a cell surface receptor. Agrin is active in cortical neurons at picomolar concentrations, is Ca2+ dependent, and is inhibited by heparin and staurosporine. Despite marked differences in acetylcholine receptor (AChR)-clustering activity, all alternatively spliced forms of agrin are equally potent inducers of c-fos in cortical neurons. A similar, isoform-independent response to agrin was also observed in cultures prepared from the hippocampus and cerebellum. Only agrin with high AChR-clustering activity was effective in cultured muscle, whereas non-neuronal cells were agrin insensitive. Although consistent with a receptor tyrosine kinase model similar to the muscle-specific kinase–myotube-associated specificity component complex in muscle, our data suggest that CNS neurons express a unique agrin receptor. Evidence that neuronal signal transduction is mediated via an increase in intracellular Ca2+ means that agrin is well situated to influence important Ca2+-dependent functions in brain, including neuronal growth, differentiation, and adaptive changes in gene expression associated with synaptic remodeling.
Author ' s personal copy Characterization of the soil microbial community associated with the decomposition of a swine carcass

Identification of bacterial species and their metabolic activity may be useful in differentiating soil samples associated with forensic analyses of large animal carcasses. In this preliminary study, lipolytic and proetolytic soil bacteria were enumerated over the time course of decomposition of a swine carcass. A 60-kg pig was used because it resembles a human body in its fat distribution and cover of hair. Soil core-samples (grave-soil) were taken underneath the carcass every three days until day 15, and then sampled on days 28, 43, 57, and 71 between September and December 2008. Results indicated that lipolytic bacterial counts were initially the lowest at day 0 (before exposure) and increased to their highest between days 9 and 12 (active decomposition); they then decreased and leveled at days 15 through 71. Conversely, the proteolytic bacterial counts initially were the highest at day 0, slowly decreased at days 3 (fresh) and 6 (bloat) with a rapid decline at day 9 (active) followed by a second major decline at day 28 (advanced); they then leveled through the remaining time period. Of the 33 isolates that could be identified, 18 were in the genus Acinetobacter. The qPCR results using Group I lipase-specific primers followed a similar pattern as the lipolytic CFU observed. 2010 Elsevier Ltd. All rights reserved.
Exploring Tokenization Strategies and Vocabulary Sizes for Enhanced Arabic Language Models

This paper presents a comprehensive examination of the impact of tokenization strategies and vocabulary sizes on the performance of Arabic language models in downstream natural language processing tasks. Our investigation focused on the effectiveness of four tokenizers across various tasks, including News Classification, Hate Speech Detection, Sentiment Analysis, and Natural Language Inference. Leveraging a diverse set of vocabulary sizes, we scrutinize the intricate interplay between tokenization approaches and model performance. The results reveal that Byte Pair Encoding (BPE) with Farasa outperforms other strategies in multiple tasks, underscoring the significance of morphological analysis in capturing the nuances of the Arabic language. However, challenges arise in sentiment analysis, where dialect specific segmentation issues impact model efficiency. Computational efficiency analysis demonstrates the stability of BPE with Farasa, suggesting its practical viability. Our study uncovers limited impacts of vocabulary size on model performance while keeping the model size unchanged. This is challenging the established beliefs about the relationship between vocabulary, model size, and downstream tasks, emphasizing the need for the study of models' size and their corresponding vocabulary size to generalize across domains and mitigate biases, particularly in dialect based datasets. Paper's recommendations include refining tokenization strategies to address dialect challenges, enhancing model robustness across diverse linguistic contexts, and expanding datasets to encompass the rich dialect based Arabic. This work not only advances our understanding of Arabic language models but also lays the foundation for responsible and ethical developments in natural language processing technologies tailored to the intricacies of the Arabic language.