Miracle-dz/UniFAR-FTUs huggingface dataset:
A model for the influence of social interaction and social support on female expatriates' cross-cultural adjustment

This paper offers a model to describe the way in which female expatriates develop relationships and utilize those relationships to become cross-culturally adjusted. This model includes three predictive components affecting cross-cultural adjustment. The first includes the factors affecting whether a woman is able to form relationships on the expatriate assignment. These antecedents can include the female expatriate's personality, the cultural norms towards women, her language skills and the availability of possible opportunities for interaction. The second component includes the various sources of social interaction and social support (e.g. family members, and host national colleagues). The third component describes the nature of a female expatriate's social interaction and social support (e.g. emotional, informational and instrumental). Practical considerations for multinational organizations sending female expatriates are offered.
Can Variation in Subgroups&Apos; Average Treatment Effects Explain Treatment Effect Heterogeneity? Evidence from a Social Experiment

In this paper, we assess whether welfare reform affects earnings only through mean impacts that are constant within but vary across subgroups. This is important because researchers interested in treatment effect heterogeneity typically restrict their attention to estimating mean impacts that are only allowed to vary across subgroups. Using a novel approach to simulating treatment group earnings under the constant mean-impacts within subgroup model, we find that this model does a poor job of capturing the treatment effect heterogeneity for Connecticut&apos;s Jobs First welfare reform experiment using quantile treatment effects. Notably, ignoring within-group heterogeneity would lead one to miss evidence that the Jobs First experiment&apos;s effects are consistent with central predictions of basic labor supply theory.
REVIEWING THE OPPORTUNITIES: GUEST EDITOR'S REPLY TO COMMENTS

This essay is a reply by the guest editor to four published comments about the July 2011 Special Issue: Attachment Theory, Separation and Divorce: Forging Coherent Understandings for Family Law. The comments capture some of the immense interest and passion generated by that issue. Questions pertaining to the structure of the issue are addressed and editorial decisions clarified. The relevant critiques are considered, and the opportunities created by the Special Issue are revisited. Unanswered questions raised about the application of attachment theory to family law matters are left as such: unanswered questions that call for careful consideration in practice and in nuanced, bipartisan research in the near future. Key Points for the Family Court Community • This essay revisits the value of the July 2011 Special Issue on attachment theory. • It considers the relevance of the Special Issue for practitioners.
School Effectiveness and Teacher Effectiveness in Mathematics: Some Preliminary Findings from the Evaluation of the Mathematics Enhancement Programme (Primary)

In this study the effect of teacher behaviours and classroom organisation on pupils' progress in mathematics was studied in years 1, 3 and 5 of primary schools in the UK participating in a mathematics intervention programme. Data on a total of 78 teachers and 2,128 pupils was collected. Teacher behaviours were measured using a classroom observation instrument developed for the project, and pupils were tested in March and July of 1998 using a curriculum-appropriate Numeracy test developed by the National Foundation for Educational Research. Background data on pupils was also collected at both testing occasions. Using multilevel modelling techniques it was found that teacher behaviours were able to explain between 60% and 100% of pupils' progress on the Numeracy tests. Amount of time spent teaching the whole class was not related directly to pupils' progress, but structural equation models were tested in which time spent teaching the whole class was found to be related to effective teaching behaviours and thus indirectly to pupil progress. The implications of the study for British educational policies and for educational research more generally are discussed.
Morphological Processing and Computer-Assisted Language Learning

Contrary to most current practice and contrary to the explicit comments of some practitioners, natural language processing (NLP) can now play a valuable role in computer-assisted language learning (CALL). This paper reports on GLOSSER and discusses the position of NLP within CALL using GLOSSER as an example. GLOSSER is an intelligent assistant for Dutch students learning to read in French. It has been fully implemented and tested, and it offers information on approximately 30,000 different words (or rather: lexemes), which may be taken from any text (no special preparation is required). The assistance takes the form of: • information on the grammatical meaning of morphology • entries in a bilingual dictionary • examples of word use taken from over one million words of text (including some bilingual text) The application has received a warm welcome in user-studies, and has been found a useful tool by students. It relies essentially on lemmatization, part-of-speech (POS) disambiguation, lexeme indexing, and.
Temporal Random Indexing: a Tool for Analysing Word Meaning Variations in News

The availability of data spanning different epochs has inspired a new analysis of cultural , social, and linguistic phenomena from a temporal perspective. This paper describes the application of Temporal Random Indexing (TRI) to the news context. TRI is able to build geometrical spaces of word meanings that consider several periods of time. Hence, TRI enables the analysis of the evolution in time of the meaning of a word. We propose some examples of application of TRI to the analysis of word meanings in the news scenario ; this analysis enables the detection of linguistic variations that emerge in specific time intervals and that can be related to particular events.
Spatial searching in geometric databases

A principle is presented for transforming suitable index structures for points into index structures for k-dimensional intervals. In many applications, these intervals serve as simple geometric keys for nonzero-size objects. The transformation fully preserves the advantages of the selected index structure for points, such as efficient update and retrieval operations, especially range queries, as well as high storage space utilization. The authors have implemented an index structure for rectangles based on the grid file. A performance evaluation with geographic data shows highly encouraging results. <<ETX>>
DNA conformations and their sequence preferences

The geometry of the phosphodiester backbone was analyzed for 7739 dinucleotides from 447 selected crystal structures of naked and complexed DNA. Ten torsion angles of a near-dinucleotide unit have been studied by combining Fourier averaging and clustering. Besides the known variants of the A-, B- and Z-DNA forms, we have also identified combined A + B backbone-deformed conformers, e.g. with α/γ switches, and a few conformers with a syn orientation of bases occurring e.g. in G-quadruplex structures. A plethora of A- and B-like conformers show a close relationship between the A- and B-form double helices. A comparison of the populations of the conformers occurring in naked and complexed DNA has revealed a significant broadening of the DNA conformational space in the complexes, but the conformers still remain within the limits defined by the A- and B- forms. Possible sequence preferences, important for sequence-dependent recognition, have been assessed for the main A and B conformers by means of statistical goodness-of-fit tests. The structural properties of the backbone in quadruplexes, junctions and histone-core particles are discussed in further detail.
Report on Preliminary Experiments with Data Grid Models in the Agnostic Learning vs. Prior Knowledge Challenge

This paper introduces a new method1 to automatically, rapidly and reliably evaluate the class conditional information of any subset of variables in supervised learning. It is based on a partitioning of each input variable, in intervals in the numerical case and in groups of values in the categorical case. The cross-product of the univariate partitions forms a multivariate partition of the input representation space into a set of cells. This multivariate partition, called data grid, allows to evaluate the correlation between the input variables and the output variable. The best data grid is searched owing to a Bayesian model selection approach and to combinatorial algorithms. Three classification techniques exploiting data grids differently are presented and evaluated in the Agnostic Learning vs. Prior Knowledge Challenge. These preliminary experiments demonstrate the interest of using data grid in machine learning tasks.
Validation of a Fully Automated HER2 Staining Kit in Breast Cancer

Background: Testing for HER2 amplification and/or overexpression is currently routine practice to guide Herceptin therapy in invasive breast cancer. At present, HER2 status is most commonly assessed by immunohistochemistry (IHC). Standardization of HER2 IHC assays is of utmost clinical and economical importance. At present, HER2 IHC is most commonly performed with the HercepTest which contains a polyclonal antibody and applies a manual staining procedure. Analytical variability in HER2 IHC testing could be diminished by a fully automatic staining system with a monoclonal antibody. Materials and Methods: 219 invasive breast cancers were fully automatically stained with the monoclonal antibody-based Oracle HER2 Bond IHC kit and manually with the HercepTest. All cases were tested for amplification with chromogenic in situ hybridization (CISH). Results: HercepTest yielded an overall sharper membrane staining, with less cytoplasmic and stromal background than Oracle in 17% of cases. Overall concordance between both IHC techniques was 89% (195/219) with a kappa value of 0.776 (95% CI 0.698–0.854), indicating a substantial agreement. Most (22/24) discrepancies between HercepTest and Oracle showed a weaker staining for Oracle. Thirteen of the 24 discrepant cases were high-level HER2 amplified by CISH, and in 12 of these HercepTest IHC better reflected gene amplification status. All the 13 HER2 amplified discrepant cases were at least 2+ by HercepTest, while 10/13 of these were at least 2+ for Oracle. Considering CISH as gold standard, sensitivity of HercepTest and Oracle was 91% and 83%, and specificity was 94% and 98%, respectively. Positive and negative predictive values for HercepTest and Oracle were 90% and 95% for HercepTest and 96% and 91% for Oracle, respectively. Conclusion: Fully-automated HER2 staining with the monoclonal antibody in the Oracle kit shows a high level of agreement with manual staining by the polyclonal antibody in the HercepTest. Although Oracle shows in general some more cytoplasmic staining and may be slightly less sensitive in picking up HER2 amplified cases, it shows a higher specificity and may be considered as an alternative method to evaluate the HER2 expression in breast cancer with potentially less analytical variability.
Design of compact CPW-Fed printed monopole UWB antenna for band notched applications

A band notch applications based coplanar waveguide (CPW)-fed printed monopole UWB antenna is proposed. The CPW fed antenna has band notched attribute for UWB antenna. The proposed band notch UWB antenna consists of stepped like feed line, ground plane and rectangular patch, U-slot and C-slot to magnify the bandwidth of an UWB antenna. By removing C shaped slot and a U shaped slot from stepped rectangular patch, the dual band rejection property is obtained at two frequencies 3.3GHz/4.6GHz. FR4 epoxy substrate is used to design the printed monopole UWB antenna with length 24 mm × width 24 mm. A 50Ω transmission line is used to feed the band notch printed monopole stepped patch rectangular antenna. Finite Element Method (FEM) method is used in the High Frequency Structure Simulator (HFSS) software for structure design and simulation of the UWB antenna. The simulation result shows that, the compact CPW fed UWB antenna has exceptional results including consistent different radiation patterns, stable gain, with better return loss with −10 dB, improved impedance matching.
Frequent Closed Sequence Mining without Candidate Maintenance

Previous studies have presented convincing arguments that a frequent pattern mining algorithm should not mine all frequent patterns but only the closed ones because the latter leads to not only a more compact yet complete result set but also better efficiency. However, most of the previously developed closed pattern mining algorithms work under the candidate maintenance-and- test paradigm, which is inherently costly in both runtime and space usage when the support threshold is low or the patterns become long. In this paper, we present BIDE, an efficient algorithm for mining frequent closed sequences without candidate maintenance. It adopts a novel sequence closure checking scheme called Bl-Directional Extension and prunes the search space more deeply compared to the previous algorithms by using the BackScan pruning method. A thorough performance study with both sparse and dense, real, and synthetic data sets has demonstrated that BIDE significantly outperforms the previous algorithm: It consumes an order(s) of magnitude less memory and can be more than an order of magnitude faster. It is also linearly scalable in terms of database size.
Effectiveness of psychosocial intervention for children and adolescents with comorbid problems: a systematic review.

BACKGROUND Comorbidity is common among child clinical samples. Reviews on effective intervention for comorbid problems are lacking. METHOD Based on a literature search of three databases (PsycINFO, MEDLINE and ERIC), initial data analysis was carried out on 865 studies; of these,10 randomised trials fully met study inclusion criteria and were subject to final analysis, with quality assessments and effect sizes calculated. RESULTS Overall, effect sizes for externalising (M = 1.12) and internalising (M = 1.09) outcomes were large. Effect sizes were large for family-based (M = 1.80) compared to individual (M = 0.78) and group-based (M = 0.54) interventions. Studies with homotypic comorbidity (M= 1.18) displayed larger treatment effect sizes than ones with heterotypic comorbidity (M = 0.54). CONCLUSIONS While the overall quality ratings of the reviewed studies varied from mediocre to good, with a variety of measures used across studies to assess the same outcomes, findings suggest that current interventions are effective for reducing internalising and externalising problems in children with comorbidity. More substantive evidence for the beneficial effects of psychosocial interventions for children with comorbid problems may arise as more robust studies, which more explicitly address and describe comorbidity, become available.
PKUICST at TREC 2012 Microblog Track

Abstract : This paper describes the PKUICST's entry into the TREC 2012 Microblog track. In this year of microblog track, we participate in both the Real-time Adhoc Task and Real-time Filtering Task. In the Real-time Adhoc Task, we designed and conducted a series of experiments based on different retrieval models, namely Real-time Tweet Ranking (RTR) model and learning to rank framework. In the Real-time Filtering Task, we adopted various strategies to determine the filtering threshold. Official results demonstrate that our approach obtains convincing performances and more unofficial runs lead to some further conclusions.
Application of DNA Barcoding for Controlling of the Species from Octopus Genus

The DNA barcoding proposes the use of a particular sequence from a single genomic region as the base for an identifying system capable to determine all animal species. This methodology comprises the analysis of a 655 base-pair region from the mithocondrial cytochrome C oxidase gene (COI). Its application in the species identification of fishery products has been very promising. However, in the last years some doubts about its usage have emerged. In this work, we make use of the DNA barcoding for the identification of some of the octopus species with higher commercial interest (Octopus membranaceus, Octopus vulgaris, Octopus aegina, Octopus cyanea) focusing the attention on the reliability and completeness of the available information on the databases. The study looked over 51 individuals apparently belonging to the Octopus genus. For the identification of O.aegina, O.cyanea, O.vulgaris species no particular problems were found. On the other hand, most of the samples of O.membranaceus, though they clearly presented the morphological characteristics of the species, were not identified with the biomolecular analyses.
Nurses' learning styles: promoting better integration of theory into practice.

BACKGROUND In a climate where nurses' roles are expanding, underpinning knowledge is increasingly important. AIM To explore staff preferences for learning and highlight the importance of recognising individual learning styles. METHOD A questionnaire was carried out with 61 nurses in an independent health and social care provider, achieving a response rate of 100%. RESULTS Staff mainly prefer visual or kinaesthetic learning. This indicates the current training programme is not meeting their needs. DISCUSSION The learning environment is recognised as having an impact in either encouraging or impeding a positive learning experience. A range of learning theories, concepts and approaches can be used to build and manage effective learning environments. CONCLUSION Staff often prefer a visual learning style. Increased emphasis should be given to work-based learning rather than classroom-based teaching methods.
Compressed web indexes

Web search engines use indexes to efficiently retrieve pages containing specified query terms, as well as pages linking to specified pages. The problem of compressed indexes that permit such fast retrieval has a long history. We consider the problem: assuming that the terms in (or links to) a page are generated from a probability distribution, how well compactly can we build such indexes that allow fast retrieval? Of particular interest is the case when the probability distribution is Zipfian (or a similar power law), since these are the distributions that arise on the web. We obtain sharp bounds on the space requirement of Boolean indexes for text documents that follow Zipf's law. In the process we develop a general technique that applies to any probability distribution, not necessarily a power law; this is the first analysis of compression in indexes under arbitrary distributions. Our bounds lead to quantitative versions of rules of thumb that are folklore in indexing. Our experiments on several document collections show that the distribution of terms appears to follow a double-Pareto law rather than Zipf's law. Despite widely varying sets of documents, the index sizes observed in the experiments conform well to our theoretical predictions.
scRNASeqDB: A Database for RNA-Seq Based Gene Expression Profiles in Human Single Cells

Single-cell RNA sequencing (scRNA-Seq) is rapidly becoming a powerful tool for high-throughput transcriptomic analysis of cell states and dynamics at the single cell level. Both the number and quality of scRNA-Seq datasets have dramatically increased recently. A database that can comprehensively collect, curate, and compare expression features of scRNA-Seq data in humans has not yet been built. Here, we present scRNASeqDB, a database that includes almost all the currently available human single cell transcriptome datasets (n = 38) covering 200 human cell lines or cell types and 13,440 samples. Our online web interface allows users to rank the expression profiles of the genes of interest across different cell types. It also provides tools to query and visualize data, including Gene Ontology and pathway annotations for differentially expressed genes between cell types or groups. The scRNASeqDB is a useful resource for single cell transcriptional studies. This database is publicly available at https://bioinfo.uth. edu/scrnaseqdb/.
An Exogenous Surfactant-Producing Bacillus subtilis Facilitates Indigenous Microbial Enhanced Oil Recovery

This study used an exogenous lipopeptide-producing Bacillus subtilis to strengthen the indigenous microbial enhanced oil recovery (IMEOR) process in a water-flooded reservoir in the laboratory. The microbial processes and driving mechanisms were investigated in terms of the changes in oil properties and the interplay between the exogenous B. subtilis and indigenous microbial populations. The exogenous B. subtilis is a lipopeptide producer, with a short growth cycle and no oil-degrading ability. The B. subtilis facilitates the IMEOR process through improving oil emulsification and accelerating microbial growth with oil as the carbon source. Microbial community studies using quantitative PCR and high-throughput sequencing revealed that the exogenous B. subtilis could live together with reservoir microbial populations, and did not exert an observable inhibitory effect on the indigenous microbial populations during nutrient stimulation. Core-flooding tests showed that the combined exogenous and indigenous microbial flooding increased oil displacement efficiency by 16.71%, compared with 7.59% in the control where only nutrients were added, demonstrating the application potential in enhanced oil recovery in water-flooded reservoirs, in particular, for reservoirs where IMEOR treatment cannot effectively improve oil recovery.
Trauma and Transformation: Growing in the Aftermath of Suffering

The Uses of Suffering Religious and Psychological Roots The Negative Consequences of Trauma Psychological Growth from Trauma Research Findings Personality Characteristics and Successful Coping Tasks and Cognitive Processes in Coping with Trauma How Growth Happens A Model for Coping with Trauma Support and Intervention Research Directions Guideposts for People Challenged by Trauma
An improvement of the batch-authentication and key agreement framework for P2P-based online social networks

Batch authentication is the way to authenticate multiple users simultaneously to provide better efficiency. In [1], three batch authentication protocols are proposed based on different primitives, to provide simultaneous authentication of multiple users in online social networks (OSNs). In this paper, we briefly introduce the original protocols, describe their security vulnerabilities and related attacks, and propose modifications to make them secure again.
Full Rate Collaborative Diversity Scheme for Multiple Access Fading Channels

User cooperation is a well-known approach to achieve diversity without multiple antennas, however at the cost of inevitable loss of rate mostly due to the need of additional channels for relaying. A new collaborative diversity scheme is proposed here for multiple access fading channels to attain full rate with near maximum diversity. This is achieved by allowing two users and their corresponding relays to transmit/forward data on the same channel by exploiting unique spatial-signatures of their fading channels. The base-station jointly detects the co-channel users' data using maximum-likelihood search algorithm over small set of possible data combinations. Full data rate with significant diversity gain near to two-antenna Alamouti scheme is shown.