Miracle-dz/UniFAR-FTUs huggingface dataset:
Child Centered Play Therapy with Children Exhibiting Aggressive Behaviors

Aggressive behaviors in childhood currently serve as the leading cause of counselor referrals within the United States. Children exhibiting maladaptive aggressive symptomology are at an increased risk for highly externalized and problematic behaviors across the lifespan. Emotional self-regulation and empathy are two constructs currently believed to be closely related to aggression, but a lack of research exploring these variables currently exists in the counseling literature. In this study I examined the effect of child-centered play therapy (CCPT), is a manualized, developmentally responsive, and nondirective intervention, on these variables. Participants were 71 students from four Title 1 elementary schools in the southwest U.S. referred by teachers for aggressive behavior (12 females, 59 males; age range 5-10 years with mean age 6.28. The sample consisted of 52.1% (n = 37) children identified as African American, 21.1% (n = 15) as Latina/Latino, 19.7% (n = 14) as Caucasian, and 7% as multiracial (n = 5). Participants were randomly assigned to 8 weeks of a twice-weekly CCPT experimental group (n = 36) or a waitlist control group (n = 35). Results of descriptive discriminant analyses (DDA) of the Social Emotional Assets and Resilience Scale and the Children’s Aggression Scale scores revealed that parents perceived children’s group membership in CCPT as significant and reasonably predictive of improvement in children’s aggression, self-regulation, and empathy. However, teachers did not perceive a statistically significant difference between the two groups with respect to these variables. These results suggest the relevancy of CCPT for parents in providing children with a developmentally responsive intervention to reduce aggressive behaviors and support their healthy development.
Metabolomic Derangements Are Associated with Mortality in Critically Ill Adult Patients

Objective To identify metabolomic biomarkers predictive of Intensive Care Unit (ICU) mortality in adults. Rationale Comprehensive metabolomic profiling of plasma at ICU admission to identify biomarkers associated with mortality has recently become feasible. Methods We performed metabolomic profiling of plasma from 90 ICU subjects enrolled in the BWH Registry of Critical Illness (RoCI). We tested individual metabolites and a Bayesian Network of metabolites for association with 28-day mortality, using logistic regression in R, and the CGBayesNets Package in MATLAB. Both individual metabolites and the network were tested for replication in an independent cohort of 149 adults enrolled in the Community Acquired Pneumonia and Sepsis Outcome Diagnostics (CAPSOD) study. Results We tested variable metabolites for association with 28-day mortality. In RoCI, nearly one third of metabolites differed among ICU survivors versus those who died by day 28 (N = 57 metabolites, p<.05). Associations with 28-day mortality replicated for 31 of these metabolites (with p<.05) in the CAPSOD population. Replicating metabolites included lipids (N = 14), amino acids or amino acid breakdown products (N = 12), carbohydrates (N = 1), nucleotides (N = 3), and 1 peptide. Among 31 replicated metabolites, 25 were higher in subjects who progressed to die; all 6 metabolites that are lower in those who die are lipids. We used Bayesian modeling to form a metabolomic network of 7 metabolites associated with death (gamma-glutamylphenylalanine, gamma-glutamyltyrosine, 1-arachidonoylGPC(20:4), taurochenodeoxycholate, 3-(4-hydroxyphenyl) lactate, sucrose, kynurenine). This network achieved a 91% AUC predicting 28-day mortality in RoCI, and 74% of the AUC in CAPSOD (p<.001 in both populations). Conclusion Both individual metabolites and a metabolomic network were associated with 28-day mortality in two independent cohorts. Metabolomic profiling represents a valuable new approach for identifying novel biomarkers in critically ill patients.
(Broken) Gauge symmetries and constraints in Regge calculus

We will examine the issue of diffeomorphism symmetry in simplicial models of (quantum) gravity, in particular for Regge calculus. We find that for a solution with curvature there do not exist exact gauge symmetries on the discrete level. Furthermore, we derive a canonical formulation that exactly matches the dynamics and hence symmetries of the covariant picture. In this canonical formulation broken symmetries lead to the replacements of constraints by so-called pseudo constraints. These considerations should be taken into account in attempts to connect spin foam models, based on the Regge action, with canonical loop quantum gravity, which aims at implementing proper constraints. We will argue that the long-standing problem of finding a consistent constraint algebra for discretized gravity theories is equivalent to the problem of finding an action with exact diffeomorphism symmetries. Finally, we will analyze different limits in which the pseudo constraints might turn into proper constraints. This could be helpful to infer alternative discretization schemes in which the symmetries are not broken.
Detection of minimal residual disease following induction immunochemotherapy predicts progression free survival in mantle cell lymphoma: final results of CALGB 59909

Background In the present study, the prognostic impact of minimal residual disease during treatment on time to progression and overall survival was analyzed prospectively in patients with mantle cell lymphoma treated on the Cancer and Leukemia Group B 59909 clinical trial. Design and Methods Peripheral blood and bone marrow samples were collected during different phases of the Cancer and Leukemia Group B 59909 study for minimal residual disease analysis. Minimal residual disease status was determined by quantitative polymerase chain reaction of IgH and/or BCL-1/JH gene rearrangement. Correlation of minimal residual disease status with time to progression and overall survival was determined. In multivariable analysis, minimal residual disease, and other risk factors were correlated with time to progression. Results Thirty-nine patients had evaluable, sequential peripheral blood and bone marrow samples for minimal residual disease analysis. Using peripheral blood monitoring, 18 of 39 (46%) achieved molecular remission following induction therapy. The molecular remission rate increased from 46 to 74% after one course of intensification therapy. Twelve of 21 minimal residual disease positive patients (57%) progressed within three years of follow up compared to 4 of 18 (22%) molecular remission patients (P=0.049). Detection of minimal residual disease following induction therapy predicted disease progression with a hazard ratio of 3.7 (P=0.016). The 3-year probability of time to progression among those who were in molecular remission after induction chemotherapy was 82% compared to 48% in patients with detectable minimal residual disease. The prediction of time to progression by post-induction minimal residual disease was independent of other prognostic factors in multivariable analysis. Conclusions Detection of minimal residual disease following induction immunochemotherapy was an independent predictor of time to progression following immunochemotherapy and autologous stem cell transplantation for mantle cell lymphoma. The clinical trial was registered at ClinicalTrials.gov: NCT00020943.
MEASURING PROBABILISTIC REACTION NORMS FOR AGE AND SIZE AT MATURATION

Abstract We present a new probabilistic concept of reaction norms for age and size at maturation that is applicable when observations are carried out at discrete time intervals. This approach can also be used to estimate reaction norms for age and size at metamorphosis or at other ontogenetic transitions. Such estimations are critical for understanding phenotypic plasticity and life-history changes in variable environments, assessing genetic changes in the presence of phenotypic plasticity, and calibrating size- and age-structured population models. We show that previous approaches to this problem, based on regressing size against age at maturation, give results that are systematically biased when compared to the probabilistic reaction norms. The bias can be substantial and is likely to lead to qualitatively incorrect conclusions; it is caused by failing to account for the probabilistic nature of the maturation process. We explain why, instead, robust estimations of maturation reaction norms should be based on logistic regression or on other statistical models that treat the probability of maturing as a dependent variable. We demonstrate the utility of our approach with two examples. First, the analysis of data generated for a known reaction norm highlights some crucial limitations of previous approaches. Second, application to the northeast arctic cod (Gadus morhua) illustrates how our approach can be used to shed new light on existing real-world data. Corresponding Editor: T. Kawecki
The offset of the tibial shaft from the tibial plateau in Chinese people.

BACKGROUND Long-stem tibial components are available for complex primary and revision total knee arthroplasties. Most of the stems' designs are based on anatomic data from Western populations. We conducted a morphologic study to determine the relationship of the tibial shaft to the tibial plateau in Chinese people. METHODS We included knees from fifty Chinese individuals (twenty-five females and twenty-five males) in this study. On magnetic resonance imaging scans of the tibial plateau and the proximal part of the tibial shaft of each lower limb, the distance between the axis of the tibial shaft and the center of the tibial plateau was measured and was defined as the offset of the tibial shaft from the tibial plateau at three resection levels: the first just distal to the subchondral bone of the medial tibial plateau, the second 5 mm distal to it, and the third 10 mm distal to it. The dimensions of the tibial plateau were measured as well. RESULTS At the first, second, and third resection levels, the mean tibial shaft offsets (and standard deviations) from the center of the tibial plateau were, respectively, 7.23 + or - 2.44 mm (3.40 + or - 1.94 mm of mediolateral offset and 6.22 + or - 2.05 mm of anteroposterior offset), 6.33 + or - 2.26 mm (3.14 + or - 2.04 mm of mediolateral offset and 5.24 + or - 1.96 mm of anteroposterior offset), and 4.75 + or - 2.07 mm (2.68 + or - 1.91 mm of mediolateral offset and 3.46 + or - 2.03 mm of anteroposterior offset). At each resection level, the mean offset in the male group was significantly larger than that in the female group. CONCLUSIONS There is a large variation in the offset of the tibial shaft from the tibial plateau in Chinese people. The axis of the tibial shaft is located anterolateral to the center of the tibial plateau in this population. CLINICAL RELEVANCE The use of an anterolaterally offset tibial keel or stem seems more suitable for Chinese patients undergoing primary or revision total knee arthroplasty.
Main‐chain conformational tendencies of amino acids

A Ramachandran plot is a visual representation of the main‐chain conformational tendencies of an amino acid. Despite forty years of research, the shape of Ramachandran plots is still a matter of debate. The issue in making a Ramachandran plot based on experimental data is deciding whether sparse data represent genuine conformations. We present here a simple solution to settle the ambiguities of the sparse data, and explain how we verified the accuracies of our plots using an independent dataset. To obtain our results, we then measured the pair‐wise distances of main‐chain conformational tendencies among amino acids, and showed that the conformational relationships of amino acids are well preserved in a two‐dimensional map, leading to the conclusion that the conformational diversity space of amino acids is largely two dimensional. We further noticed that amino acids in early and late evolutionary stages are located in different zones in the two‐dimensional map. In addition to these conclusions, we here present an amino acid substitution table derived from experimental data. Proteins 2005. © 2005 Wiley‐Liss, Inc.
Parameter tuning for induction-algorithm-oriented feature elimination

Feature selection has long been an active research topic in machine learning. Beginning with an empty set of features, it selects features most necessary for learning a target concept. Feature elimination, a newer technique, starts out with a full set of features and eliminates those most unnecessary for learning the target concept. Feature elimination tends to be more effective, can capture interacting features more easily, and suffers less from feature interaction than feature selection. Because the most unnecessary features are eliminated from the beginning, they will not mislead the induction process in terms of efficiency or accuracy. Induction-algorithm-oriented feature elimination, with particular parameter configurations, can achieve higher predictive accuracy than existing popular feature selection approaches. We propose two sets of well-tuned parameters based on empirical analysis. To understand how to achieve the best performance possible from IAOFE, we conducted a comprehensive analysis of IAOFE parameter tuning.
Distributed fusion Kalman filtering with communication constraints

This paper is concerned with the distributed Kalman filtering problem for a class of networked multi-sensor fusion systems (NMFSs) under the assumptions that (i) distributed sensors have computation capabilities, (ii) the communication between the sensors and the fusion center (FC) is subject to finite communication bandwidth. The communication bandwidth constraint considered is that only partial components of the local vector estimation signals are allowed to be transmitted to the FC at a particular time, and multiple binary variables are introduced to model this component transmitting process. A novel compensation strategy is proposed to restructure the local estimation signal at the FC end, and a recursively distributed fusion kalman filter (DFKF) is designed in the linear minimum variance sense from the restructured local unbiased-estimators. It is shown that the mean-square error (MSE) of the designed DFKF is dependent on the introduced binary variables, and a simply suboptimal judgement criterion is proposed to determine a group of binary variables such that MSE of the designed DFKF is minimal at each time step.
On the usefulness of formal judgment tasks in syntax and in second-language research: The case of resumptive pronouns in English, Turkish, and Mandarin Chinese

Abstract Gibson and Fedorenko (2013, The need for quantitative methods in syntax and semantics research, Language and Cognitive Processes 28(2), 88–124) have argued against the continued use of informally collected acceptability judgments as the primary methodology in theoretical syntax and semantics research. We provide further support for their position with data from Mandarin and Turkish-language judgment tasks which examined the acceptability of resumptive pronouns (RPs) in relative clauses. Based on previous studies which relied on informal judgments, we expected that RPs should be permitted in certain types of Mandarin relative clauses, but ungrammatical in comparable Turkish relative clauses. The results failed to replicate this contrast: RPs were more acceptable than expected in Turkish, and less acceptable than expected in Mandarin. Furthermore, the Mandarin Chinese experiment showed an unexpected gradient effect. We argue that these results challenge existing theoretical accounts, support the more widespread adoption of experimental tasks in theoretical linguistics and in second-language research, and consistently support the Filler-Gap Domain complexity ranking as proposed by Hawkins (2004, Efficiency and complexity in grammars, Oxford: Oxford University Press). We use the complexity ranking and its supporting evidence as a case study demonstrating that quantitative data, such as the evidence obtained from formal sentence judgment tasks, are indispensable in the defense or criticism of linguistic theories.
Jesus and the Jimson Weed How do we derive meaning from tags , text , and queries to support improved image access ?

Overview: For this pilot project, a collection of 495 tags that were assigned to 7 images from the Indianapolis Museum of Art were categorized by at least two individuals using a matrix that describes the subject matter of an image on two axes. One axis describes specificity, or an individual’s depth of knowledge about the content of an image (Generic, Specific, and Abstract). The second describes the type of subject matter expressed (Who, What, When, and Where) (Panofsky, 1962; Shatford, 1986). This core matrix was modified to include a Visual Elements category as well as an Unknown category to capture information not related to subject matter.
Active surface transport of metabotropic glutamate receptors through binding to microtubules and actin flow

Receptors for neurotransmitters are concentrated and stabilized at given sites such as synapses through interactions with scaffolding proteins and cytoskeletal elements. The transport of receptors first involves directed vesicular trafficking of intracellularly stored receptors followed by their targeting to the plasma membrane. Once expressed at the cell surface, receptors are thought to reach their final location by random Brownian diffusion in the plasma membrane plane. Here, we investigate whether the metabotropic glutamate receptor mGluR5 can also be transported actively on the cell surface. We used single particle tracking to follow mGluR5 movement in real time at the surface of neuronal growth cones or fibroblast lamellipodia, both of which bear a particularly active cytoskeleton. We found that after a certain lag time mGluR5 undergoes directed rearward transport, which depends on actin flow. On actin depolymerization, directed movement was suppressed, but receptors still bound to a rigid structure. By contrast, receptor transport and immobilization was fully suppressed by microtubule depolymerization but favored by microtubule stabilization. Furthermore, mGluR5 could be immunoprecipitated with tubulin from rat brains, confirming the ability of mGluR5 to bind to microtubules. We propose that mGluR5 can be transported on the cell surface through actin-mediated retrograde transport of microtubules. This process may play a role in receptor targeting and organization during synapse formation or during glutamate-mediated growth cone chemotaxis.
Contextually Intelligent Recommendation of Documents from User-Subscribed Channels

There are several professional, academic and business channels catering to the information needs of professionals. In this paper we have presented a contextual recommendation system that gathers documents from these channels on behalf of a user and recommends the most relevant documents from the collection based on the current work-context of the user. Starting with an initial context, the system employs reinforcement learning to understand user interests and then recommend contextually relevant articles only and thereby reduce information overload. The paper presents a theoretical framework for context detection and contextual recommendation and some experimental results from simulated environments.
Ontology Alignment Based Service Interface Adaptation

The emerging web service technologies have received increasing attention in both industry and academic communities. The interoperability it promised has made it more welcome than other integration technologies. However, web services may not be able to interact with one another directly due to interface mismatches. It happens when the service consumer and service provider have different message signatures. In this paper, we proposed an automatic interface adaptation approach that exploits ontology alignment tool. We propose a method that enables the interaction between WSDL described web service and semantic web services . We have also developed a method that extracts relevant semantic information from original annotation ontology to construct a compact ontology, in order to improve the efficiency and accuracy of ontology alignment results.
Sunscreen Products as Emerging Pollutants to Coastal Waters

A growing awareness of the risks associated with skin exposure to ultraviolet (UV) radiation over the past decades has led to increased use of sunscreen cosmetic products leading the introduction of new chemical compounds in the marine environment. Although coastal tourism and recreation are the largest and most rapidly growing activities in the world, the evaluation of sunscreen as source of chemicals to the coastal marine system has not been addressed. Concentrations of chemical UV filters included in the formulation of sunscreens, such as benzophehone 3 (BZ-3), 4-methylbenzylidene camphor (4-MBC), TiO2 and ZnO, are detected in nearshore waters with variable concentrations along the day and mainly concentrated in the surface microlayer (i.e. 53.6–577.5 ng L-1 BZ-3; 51.4–113.4 ng L-1 4-MBC; 6.9–37.6 µg L-1 Ti; 1.0–3.3 µg L-1 Zn). The presence of these compounds in seawater suggests relevant effects on phytoplankton. Indeed, we provide evidences of the negative effect of sunblocks on the growth of the commonly found marine diatom Chaetoceros gracilis (mean EC50 = 125±71 mg L-1). Dissolution of sunscreens in seawater also releases inorganic nutrients (N, P and Si forms) that can fuel algal growth. In particular, PO4 3− is released by these products in notable amounts (up to 17 µmol PO4 3− g−1). We conservatively estimate an increase of up to 100% background PO4 3− concentrations (0.12 µmol L-1 over a background level of 0.06 µmol L-1) in nearshore waters during low water renewal conditions in a populated beach in Majorca island. Our results show that sunscreen products are a significant source of organic and inorganic chemicals that reach the sea with potential ecological consequences on the coastal marine ecosystem.
Star Cluster Dissolution in Arp 284

We present results from a study of proto-globular cluster candidates in the interacting galaxy system Arp 284 (NGC 7714/5). Studies of the Antennae and M51 have suggested that the majority of these star clusters dissolve within 20 Myr due to mass loss. We obtain cluster colors using archival \emph{HST} data, and estimate ages and extinctions for over 150 clusters using evolutionary synthesis models. We find that clusters in NGC 7714 are generally less than 20 Myr old, while the data in the bridge is too limited to allow good estimates for individual clusters. We also examine {H {\sc ii}} region complexes with lower-resolution \emph{GALEX} and ground-based H$\alpha$ images. Several of these regions appear to be much older than the detected clusters within them, which may indicate the presence of an older, unresolved population of low mass or dispersed clusters.
Modelling of bulk acoustic wave resonators for microwave filters

Modelling and development of high Q thin-film bulk acoustic wave (BAW) devices is a topic of research gaining attention due to good selectivity and steep transition band offered by these devices used for cellular applications. A preliminary survey of various modeling approaches of these devices and their validations are presented in this paper. So far two existing one dimensional (1D) models have been investigated and compared. The results obtained from the models show relatively good agreement with experimental data of the FBAR reported in the literature. The prime objective of this project is to investigate novel BAW resonators, to determine the essential physical parameters and to develop physics based model thereof suited for circuit applications.