Miracle-dz/UniFAR-FTUs huggingface dataset:
Does Teaching Problem-Solving Skills Matter? An Evaluation of Problem-Solving Skills Training for the Treatment of Social and Behavioral Problems in Children

Problem-solving skills training (PSST) has been proposed as a potentially effective addition to behavioral parent training (PT). However, it is not clear whether PSST specifically increases the benefits provided by PT. In this study, PT + PSST was compared to PT + nondirective therapy in a sample of 26 families. All parents received PT. Following this, children received PSST or nondirective therapy. Outcomes included measures of child behavior problems, social skills, and parent stress at posttherapy and a 6-week follow-up. Children in both groups improved over time with few differences between groups.
Explicit query formulation with visual keywords

This paper presents a novel framework called visual keywords for indexing and retrieving digital images. Visual keywords are flexible and intuitive visual prototypes with semantics. A new query method based on visual constraints allows direct and explicit content specification. Last but not least, we have developed a digital album prototype to demonstrate query and retrieval based on visual keywords.
Optimizing the Number of Clusters in Multi-Hop Wireless Sensor Networks

In this paper, an analytical model is proposed to compute the optimal number of clusters that minimizes the energy consumption of multi-hop wireless sensor networks. In the proposed analytical model, the average hop count between a general node (GN) and its nearest clusterhead (CH) is obtained assuming a uniform distribution. How the position of the sink impacts the optimal number of clusters is also discussed. A numerical simulation is carried out to validate the proposed model in various network environments.
Finding the Tipping Point: Visual Metaphor and Conceptual Complexity in Advertising

The effect of visual metaphor in advertising is claimed to follow a curvilinear pattern: visual metaphors that constitute a moderate challenge are said to have a bigger impact on appreciation than simpler or more complex metaphors. Until now, empirical evidence has been scarce. This study verifies whether the tipping point can indeed be identified. In an experiment, 485 participants judged 16 different metaphors (in advertisements for 16 different product categories) varying in conceptual complexity. Mediation analyses showed that metaphors of moderate complexity, although comprehended less well than simpler metaphors, are appreciated more than simpler and more complex metaphors.
The Complex Politics of Relevance in Geography

Abstract As a discipline, geographers have debated what it means to make research relevant. In this article, we argue that the issue of what makes research relevant cannot be separated from the questions of why research should be relevant, how research becomes relevant, the goals of research, and for whom it is intended to be relevant. In this sense, the determination of relevance is a social and political process. We make this point through an evaluation of various writings on relevance, editorials that have appeared in the Newsletter of the Association of American Geographers, and through interviews with researchers. We argue that relevance can be intended, but that commitment to relevant research requires a long-term view and an appreciation for the indirect pathways of relevance.
IGF-II transcription in skeletal myogenesis is controlled by mTOR and nutrients

Insulin-like growth factors (IGFs) are essential for skeletal muscle development, regeneration, and hypertrophy. Although autocrine actions of IGF-II are known to initiate myoblast differentiation, the regulatory elements and upstream signaling pathways for myogenic expression of IGF-II remain elusive. Here, we report the regulation of IGF-II transcription by mTOR, as well as by amino acid sufficiency, through the IGF-II promoter 3 and a downstream enhancer during C2C12 myoblast differentiation. Furthermore, we present evidence that IGF production, and not IGF signaling, is the primary target for mTOR's function in the initiation of differentiation. Moreover, myogenic signaling by mTOR is independent of its kinase activity and mediated by the PI3K–Akt pathway. Our findings represent the first identification of a signaling pathway that regulates IGF-II expression in myogenesis and implicate the mTOR–IGF axis as a molecular link between nutritional levels and skeletal muscle development.
Who Is Memorable to Whom: A Study of Cognitive Disregard

Cues for cognitive disregard are those attributes of strangers that signify their lack of interest for us. Disregarded strangers are not noticed beyond category level; their invisibility is shown by our failure to recognize them as familiar in a subsequent encounter. Five experiments were conducted. Experiment 1 established the operation of disregard in a lab setting with the finding that subjects had better recall for (photos of) persons with natural relevance to their lives than for other photos to which their attention had been especially directed. In Experiment 2, which compared the recall of undergraduate-aged and elderly subjects for persons of varying ages, it was found that age discrepancy acted as a disregard cue, although youthfulness per se enhanced memorability. In Experiment 3, undergraduate-aged and middle-aged male and female targets had brief interactions with subjects. The hypothesis that college students were more likely to disregard middle-aged strangers with whom they had a brief encou.
Maximizing selection efficiency for categorical traits.

Genetic improvement of categorically recorded traits is hampered because information content of categorical records is low and ordinary linear breeding value estimation methods do not apply theoretically. The ordinary animal or linear mixed model (LMM), which ignored the categorical nature of the trait, is compared to a generalized linear mixed model (GLMMp) that assumes a linear mixed model for an underlying continuous variable. The GLMMp takes full account of the categorical nature of the trait and is a straightforward extension of LMM. In a closed nucleus breeding scheme (e.g., cattle, pigs, or poultry), rates of genetic gain increased by 1 to 2%, when GLMMp was used instead of LMM. Rates of genetic gain increased by 7 to 20%, when the best sires were used on the best herds (i.e., when there was some confounding between sire and herd effects). When considering a binary trait (e.g., disease incidence) initial incidences of 25% could be reduced to 2.8% within 10 generations of selection. Rates of gain can be increased by up to 84% by gathering more information on high-incidence categories (i.e., by dividing these categories into subcategories). Subdividing low-incidence categories (e.g., splitting diseased animals into moderately and severely diseased) hardly increased rates of gain. Direct recording of the underlying variable, which requires uncovering of the physiological background of the categorical trait, yielded 109 to 278% more genetic gain than selection for a binary trait.
A PanorOmic view of personal cancer genomes

Abstract The massive molecular profiling of thousands of cancer patients has led to the identification of many tumor type specific driver genes. However, only a few (or none) of them are present in each individual tumor and, to enable precision oncology, we need to interpret the alterations found in a single patient. Cancer PanorOmics (http://panoromics.irbbarcelona.org) is a web-based resource to contextualize genomic variations detected in a personal cancer genome within the body of clinical and scientific evidence available for 26 tumor types, offering complementary cohort- and patient-centric views. Additionally, it explores the cellular environment of mutations by mapping them on the human interactome and providing quasi-atomic structural details, whenever available. This ‘PanorOmic’ molecular view of individual tumors, together with the appropriate genetic counselling and medical advice, should contribute to the identification of actionable alterations ultimately guiding the clinical decision-making process.
A Half Century of Scientific Research in Field Hockey

Purpose. Using databases available on the Internet, the number of scientific papers on the subject of field hockey were examined. Basic procedures. As a result, 208 scientific studies covering the fields of biochemistry, physiology, sport injuries, psychology and tactics were found, which were published within the last 50 years (from 1960 to 2010). Despite the popularity of field hockey and its status as an Olympic sport, the number of scientific studies which focused on field hockey was much smaller when compared to the amount of publications on other team sports, such as soccer, basketball, or baseball. Main findings. It was found that the greatest number of pub­ lications (61.06%) originated from five English-speaking countries (UK, USA, Canada, Australia, and New Zealand), with the majority focusing on sport psychology, injuries and biochemistry. What was discovered was that the vast majority of scientific studies used field hockey merely as a reference point in comparison to other team sports. Conclusions. The varying topic diversity of the scientific stud­ ies found among the databases significantly hinders an effective comparison of findings, especially considering that most of the studies focused on only a few selected aspects of the problem matter and were chiefly small sample studies, nor were they repeated.
Identification and Glycerol-Induced Correction of Misfolding Mutations in the X-Linked Mental Retardation Gene CASK

The overwhelming amount of available genomic sequence variation information demands a streamlined approach to examine known pathogenic mutations of any given protein. Here we seek to outline a strategy to easily classify pathogenic missense mutations that cause protein misfolding and are thus good candidates for chaperone-based therapeutic strategies, using previously identified mutations in the gene CASK. We applied a battery of bioinformatics algorithms designed to predict potential impact on protein structure to five pathogenic missense mutations in the protein CASK that have been shown to underlie pathologies ranging from X-linked mental retardation to autism spectrum disorder. A successful classification of the mutations as damaging was not consistently achieved despite the known pathogenicity. In addition to the bioinformatics analyses, we performed molecular modeling and phylogenetic comparisons. Finally, we developed a simple high-throughput imaging assay to measure the misfolding propensity of the CASK mutants in situ. Our data suggests that a phylogenetic analysis may be a robust method for predicting structurally damaging mutations in CASK. Mutations in two evolutionarily invariant residues (Y728C and W919R) exhibited a strong propensity to misfold and form visible aggregates in the cytosolic milieu. The remaining mutations (R28L, Y268H, and P396S) showed no evidence of aggregation and maintained their interactions with known CASK binding partners liprin-α3 Mint-1, and Veli, indicating an intact structure. Intriguingly, the protein aggregation caused by the Y728C and W919R mutations was reversed by treating the cells with a chemical chaperone (glycerol), providing a possible therapeutic strategy for treating structural mutations in CASK in the future.
Patty: a pattern-based parallelization tool for the multicore age

The free lunch of ever increasing clock frequencies is over. Performance-critical sequential software must be parallelized, and this is tedious, hard, buggy, knowledge-intensive, and time-consuming. In order to assist software engineers appropriately, parallelization tools need to consider detection, transformation, correctness, and performance all together. This paper introduces a pattern-based process model that assists in all four parallelization tasks and hence facilitates transforming legacy software that had not been developed with multicore in mind. Our approach uses optimistic parallelization and generates a semantic model with static and dynamic information. With this information we detect parallelizable regions and runtime-relevant tuning parameters. The regions are then transformed to tunable parallel patterns. The process model covers the detection of parallelizable regions, the identification of appropriate parallelization strategies, and enhances traditional parallelization processes with correctness and performance validations. We implemented the pattern-based process model in Patty, a tool that actively assists engineers in the tedious and error-prone software parallelization tasks. This paper also contains a user study that compares the effectivity of optimistic pattern-based parallelization as implemented in Patty to 1) a popular commercial parallelization tool and 2) pure manual parallelization. We demonstrate that our approach receives the best average scores from its users while delivering the best results within the least amount of time. In our user study Patty outperforms both control groups in subjective and objective measurements. Patty achieves parallel performance comparable to a skilled parallel software engineer within minutes rather than days of work. This makes our approach attractive for experts and inexperienced software engineers alike.
Relationship Between Opportunity to Learn and Student Performance on English and Algebra Assessments

The purpose of this study was to examine how various opportunity to learn (OTL) variables impact student outcomes and whether these effects are consistent across different subject areas. In this study, we examined the impact of OTL variables on student performance on English and algebra assessments. Despite the differences in the subject areas, 3 consistent findings emerged. First, we found a significant positive relationship between teacher expertise and student performance. Teacher expertise in this study is defined specifically as expertise and knowledge within the content areas covered in the standards and the district assessment, rather than overall expertise in the subject area. Our study also showed that content coverage was positively correlated with student performance in English and algebra. Finally, consistent with previous findings, our study indicated that the socioeconomic status of the classroom has a significant impact on student performance.
Optimizing Matrix Stability

Given an affine subspace of square matrices, we consider the problem of minimizing the spectral abscissa (the largest real part of an eigenvalue). We give an example whose optimal solution has Jordan form consisting of a single Jordan block, and we show, using non-lipschitz variational analysis, that this behaviour persists under arbitrary small perturbations to the example. Thus although matrices with nontrivial Jordan structure are rare in the space of all matrices, they appear naturally in spectral abscissa minimization.
Approximate Matching for Evaluating Keyphrase Extraction

We propose a new evaluation strategy for keyphrase extraction based on approximate keyphrase matching. It corresponds well with human judgments and is better suited to assess the performance of keyphrase extraction approaches. Additionally, we propose a generalized framework for comprehensive analysis of keyphrase extraction that subsumes most existing approaches, which allows for fair testing conditions. For the first time, we compare the results of state-of-the-art unsupervised and supervised keyphrase extraction approaches on three evaluation datasets and show that the relative performance of the approaches heavily depends on the evaluation metric as well as on the properties of the evaluation dataset.
Optimization of a Novel Non-invasive Oral Sampling Technique for Zoonotic Pathogen Surveillance in Nonhuman Primates

Free-ranging nonhuman primates are frequent sources of zoonotic pathogens due to their physiologic similarity and in many tropical regions, close contact with humans. Many high-risk disease transmission interfaces have not been monitored for zoonotic pathogens due to difficulties inherent to invasive sampling of free-ranging wildlife. Non-invasive surveillance of nonhuman primates for pathogens with high potential for spillover into humans is therefore critical for understanding disease ecology of existing zoonotic pathogen burdens and identifying communities where zoonotic diseases are likely to emerge in the future. We developed a non-invasive oral sampling technique using ropes distributed to nonhuman primates to target viruses shed in the oral cavity, which through bite wounds and discarded food, could be transmitted to people. Optimization was performed by testing paired rope and oral swabs from laboratory colony rhesus macaques for rhesus cytomegalovirus (RhCMV) and simian foamy virus (SFV) and implementing the technique with free-ranging terrestrial and arboreal nonhuman primate species in Uganda and Nepal. Both ubiquitous DNA and RNA viruses, RhCMV and SFV, were detected in oral samples collected from ropes distributed to laboratory colony macaques and SFV was detected in free-ranging macaques and olive baboons. Our study describes a technique that can be used for disease surveillance in free-ranging nonhuman primates and, potentially, other wildlife species when invasive sampling techniques may not be feasible.
Differential vesicular sorting of AMPA and GABAA receptors

Significance In neurons most fast excitatory neurotransmission is mediated by AMPA receptors, which cluster at excitatory synapses primarily on dendritic spines. Fast synaptic inhibition is largely mediated by GABAA receptors, which cluster at inhibitory synapses mainly on the soma and dendritic shafts. It is unclear how these receptors are segregated and delivered to specific locations on the plasma membranes. Here we directly studied the constitutive exocytosis of AMPA and GABAA receptors and demonstrate that they are initially sorted into different vesicles in the Golgi apparatus and inserted into distinct domains of the plasma membrane. Their exocytosis is dependent on distinct Rab GTPases and SNARE complexes. Our results reveal fundamental mechanisms underlying the sorting of excitatory and inhibitory neurotransmitter receptors in neurons. In mature neurons AMPA receptors cluster at excitatory synapses primarily on dendritic spines, whereas GABAA receptors cluster at inhibitory synapses mainly on the soma and dendritic shafts. The molecular mechanisms underlying the precise sorting of these receptors remain unclear. By directly studying the constitutive exocytic vesicles of AMPA and GABAA receptors in vitro and in vivo, we demonstrate that they are initially sorted into different vesicles in the Golgi apparatus and inserted into distinct domains of the plasma membrane. These insertions are dependent on distinct Rab GTPases and SNARE complexes. The insertion of AMPA receptors requires SNAP25–syntaxin1A/B–VAMP2 complexes, whereas insertion of GABAA receptors relies on SNAP23–syntaxin1A/B–VAMP2 complexes. These SNARE complexes affect surface targeting of AMPA or GABAA receptors and synaptic transmission. Our studies reveal vesicular sorting mechanisms controlling the constitutive exocytosis of AMPA and GABAA receptors, which are critical for the regulation of excitatory and inhibitory responses in neurons.
Ten Tonne Plan: Education for Sustainability From a Whole Systems Thinking Perspective

The Ten Tonne Plan is a greenhouse gas emissions reduction initiative that aimed to reduce school emissions by 10 tonnes (metric tons) in one year. A case study was conducted on the impact of this initiative at a primary school in Western Australia. Research investigated student, staff, parent, and community partner perceptions following participation. Results showed the school achieved its goal through the implementation of a variety of environmental and social actions undertaken by the whole school community. Findings identified strengths and weaknesses of the initiative. The Ten Tonne Plan provided a model that is applicable in a variety of school settings.
The Oncogenic 70Z Cbl Mutation Blocks the Phosphotyrosine Binding Domain-Dependent Negative Regulation of ZAP-70 by c-Cbl in Jurkat T Cells

ABSTRACT T-cell receptor (TCR) engagement results in the activation of Src family (Lck and Fyn) and ZAP-70 protein tyrosine kinases, leading to tyrosine phosphorylation of multiple cellular substrates including the complex adapter protein c-Cbl. Moreover, Cbl is tyrosine phosphorylated upon engagement of growth factor receptors, cytokine receptors, and immunoreceptors and functions as a negative regulator of tyrosine kinase signalling pathways. Cbl associates via its phosphotyrosine binding (PTB) domain to the ZAP-70 pY292 negative regulatory phosphotyrosine. We recently demonstrated that the oncogenic Cbl mutant, 70Z Cbl, requires its PTB domain to upregulate NFAT in unstimulated Jurkat T cells. Here, we demonstrate that kinase-dead but not wild-type forms of Fyn, Lck, and ZAP-70 block 70Z Cbl-mediated NFAT activation. Moreover, 70Z Cbl does not upregulate NFAT in the ZAP-70-deficient P116 Jurkat T-cell line. The requirement for Fyn, Lck, and ZAP-70 is not due to tyrosine phosphorylation of 70Z Cbl, as mutation of all tyrosines in, or deletion of, the C-terminal region of 70Z Cbl (amino acids 655 to 906) blocks 70Z Cbl tyrosine phosphorylation but enhances 70Z Cbl-mediated NFAT activation. Further, 70Z Cbl does not cooperate with ZAP-70 Y292F to upregulate NFAT, indicating that 70Z Cbl and ZAP-70 do not activate parallel signalling pathways. Finally, the upregulation of NFAT observed upon ZAP-70 overexpression is blocked by Cbl in a PTB domain-dependent manner. We conclude that oncogenic 70Z Cbl acts as a dominant negative to block the PTB domain-dependent negative regulatory role of endogenous Cbl on ZAP-70, leading to constitutive ZAP-70 signalling and activation of transcription factors.
The Use of Genetic Algorithm to Derive Correlation Between Test Vector and Scan Register Sequences and Reduce Power Consumption

In most of existing approaches, the reorganization of test vector sequence and reordering scan chains registers to reduce power consumption are solved separately, they are seen as independent procedures. In the paper it is shown that a correlation between these two processes and strong reasons to combine them into one procedure run concurrently exist. Based on this idea, it is demonstrated that search spaces of both procedures can be combined together into a single search space in order to achieve better results during the optimization process. The optimization over the united search space was tested on ISCAS85, ISCAS89 and ITC99 benchmark circuits implemented by means of CMOS primitives from AMI technological libraries. Results presented in the paper show that lower power consumption can be achieved if the correlation is reflected, i.e., if the search space is united rather than divided into separate spaces. At the end of the paper, results achieved by genetic algorithm based optimization are presented, discussed and compared with results of existing methods.