Miracle-dz/UniFAR-FTUs huggingface dataset:
A theory of youth mental health recovery from a parental perspective

BACKGROUND Mental health disorders have a negative impact on the individual, society and global economy. The prevalence of mental disorders is increasing in young people, if unaddressed, they may develop into severe and chronic illnesses. Despite this, research into youth mental health recovery is limited. The current study aims to develop a theoretical framework of recovery in youth mental health and identify what facilitates this process. METHODS Fourteen parents of children engaged with the Child and Adolescent Mental Health Service were interviewed in relation to their understanding of youth mental health recovery. The transcripts of these interviews were analysed using the constructivist grounded theory approach. RESULTS A theoretical model of youth mental health was developed. The model provides an understanding of (a) the characteristics of youth mental health recovery, (b) the facilitators of recovery and (c) the barriers to recovery. The theory suggests that due to developmental factors youth mental health recovery occurs within the ecological context of complex social systems. CONCLUSIONS The theory reflects elements of existing developmental and recovery research and provides a novel understanding of youth mental health recovery. This model may inform social, government and service attitudes and policy, and highlights areas for future research.
Discovery of Direct and Indirect Association Patterns in Large Transaction Databases

Association rules mining is one of the important tasks in data mining research. While most of the existing discovery algorithms are dedicated to efficiently mining of frequent patterns, it has been noted recently that some of the infrequent patterns can provide useful insight view into the data. As a result, indirect association rules have been put forward, the traditional association rules are called direct association patterns. All the existing algorithms for mining indirect association rules need get all frequent itemsets using Apriori or other algorithms for mining association rules, then generate indirect association candidates using frequent itemsets. Instead of this method, we put forward an approach to discover both direct and indirect association patterns. Key words: Direct Association Pattern, Indirect Association Pattern, Data Mining
Galaxy Cluster Shapes and Systematic Errors in H0 Measured by the Sunyaev-Zeldovich Effect

Imaging of the Sunyaev-Zeldovich (SZ) effect in galaxy clusters combined with cluster plasma X-ray diagnostics can measure the cosmic distance scale to high redshift. However, projecting the inverse Compton scattering and X-ray emission along the cluster line of sight introduces systematic errors in the Hubble constant, H0, because the true shape of the cluster is not known. In this paper, I present a study of the systematic errors in the value of H0, as determined by the X-ray and SZ properties of theoretical samples of triaxial isothermal "beta" model clusters, caused by projection effects and observer orientation relative to the model clusters' principal axes. I calculate three estimates for H0 for each cluster based on their large and small apparent angular core radii and their arithmetic mean. I demonstrate that the estimates for H0 for a sample of 25 clusters have limited systematic error: the 99.7% confidence intervals for the mean estimated H0 analyzing the clusters using either their large or mean angular core radius are within ≃14% of the "true" (assumed) value of H0 (and enclose it), for a triaxial beta model cluster sample possessing a distribution of apparent X-ray cluster ellipticities consistent with that of observed X-ray clusters. This limit on the systematic error in H0 caused by cluster shape assumes that each sample beta model cluster has a fixed shape; deviations from constant shape within the clusters may introduce additional uncertainty or bias into this result.
Search for the Top Quark: Results from the DØ Experiment

We review the search for the top quark conducted by the DØ collaboration using data from the Fermilab pp collider. Based upon a preliminary analysis of an integrated luminosity of about 13.5 pb −1 , we have searched for tt production and decay in the experimental channels involving a pair of dileptons (e or µ) plus jets, or single leptons plus jets. Summed over all channels, we observe 7 events in our data, to be compared with an expectation from background processes of 3.2 ± 1.1 events. The tt cross-section deduced from the small excess of events is presented as a function of the top quark mass. The statistics are sufficiently limited that no clear evidence for the existence of the top quark can be obtained. We also comment upon contributions to the Parallel session devoted to the top quark at this conference.
Stereoscopic liver surface reconstruction

The paper presents a practical approach to measuring liver motion, both respiratory and laparoscopic, with a tool guided in the operating room. The presented method is based on standard operating room equipment, i.e. rigid laparoscopic cameras and a single incision laparoscopic surgery trocar. The triangulation algorithm is used and stereo correspondence points are marked manually by two independent experts. To calibrate the cameras two perpendicular chessboards, a pinhole camera model and a Tsai algorithm are used. The data set consists of twelve real liver surgery video sequences: ten open surgery and two laparoscopic, gathered from different patients. The setup equipment and methodology are presented. The proposed evaluation method based on both calibration points of the chessboard reconstruction and measurements made by the Polaris Vicra tracking system are used as a reference system. In the analysis stage we focused on two specific goals, measuring respiration and laparoscopic tool guided liver motions. We have presented separate examples for left and right liver lobes. It is possible to reconstruct liver motion using the SILS trocar. Our approach was made without additional position or movement sensors. Diffusion of cameras and laser for distance measurement seems to be less practical for in vivo laparoscopic data, but we do not exclude exploring such sensors in further research.
Strict Cost Sharing Schemes for Steiner Forest

Gupta et al. [J. ACM, 54 (2007), article 11] and Gupta, Kumar, and Roughgarden [in Proceedings of the ACM Symposium on Theory of Computing, ACM, New York, 2003, pp. 365-372] recently developed an elegant framework for the development of randomized approximation algorithms for rent-or-buy network design problems. The essential building block of this framework is an approximation algorithm for the underlying network design problem that admits a strict cost sharing scheme. Such cost sharing schemes have also proven to be useful in the development of approximation algorithms in the context of two-stage stochastic optimization with recourse. The main contribution of this paper is to show that the Steiner forest problem admits cost shares that are 3-strict and 4-group-strict. As a consequence, we derive surprisingly simple approximation algorithms for the multicommodity rent-or-buy and the multicast rent-or-buy problems with approximation ratios 5 and 6, improving over the previous best approximation ratios of 6.828 and 12.8, respectively. We also show that no approximation ratio better than 4.67 can be achieved using the sample-and-augment framework in combination with the currently best known Steiner forest approximation algorithms. In the context of two-stage stochastic optimization, our result leads to a 6-approximation algorithm for the stochastic Steiner tree problem in the black-box model and a 5-approximation algorithm for the stochastic Steiner forest problem in the independent decision model.
Estrogen receptor b : the guardian of the endometrium

(ER results: StudiesofthebasicfunctionofER b isoformsinrestrainingER a -mediatedcell-speciﬁctrophic/mitoticresponsestoestrogeninother tissueshasallowedappreciationoftheimportantpotentialroleofER b intheregulationofcellfateinthehumanendometrium.Ourcurrentunder-standing of ER b expression and function in endometrium is, however, incomplete. ER b is dynamically expressed in healthy premenstrual endometrium, persists in post-menopausal atrophic endometrium and may play an important role in endometrial disease. All endometrial cell types express ER b and aberrations in ER b expression have been reported in almost all benign and malignant endometrial proliferative disease. conclusions: The collective evidence suggests that ER b has an important role in normal endometrial function and also in most, if not all, benignandmalignantendometrialdiseases.However,theconductofstudiesofendometrialER b expressionneedstobestandardized:agreement is needed regarding the most appropriate control tissue for endometrial cancer studies as well as development of standardized methods for the quantiﬁcationofER b immunohistochemicaldata,similartothosescoringsystemsemployedforotherhormonallyregulatedtissuessuchasbreast cancer, since these data may have direct clinical implications in guiding therapy.
Marginalized Particle Filter based Track-Before-Detect Algorithm for Small Dim Infrared Target

Small dim infrared target detection and tracking is the key technology of the infrared surveillance system. The track-before-detect(TBD) algorithm can integrate the unthresholded measurements over time to track the low signal-to-noise ratio target. In this paper, a marginalized particle filter based TBD algorithm is proposed for small dim infrared target detection and tracking. By marginalizing out the states appearing linearly in the small dim infrared target dynamic model, the marginalized particle filter can estimate the nonlinear states using the particle filter and estimate the linear states using the Kalman filter. It is confirmed that the high–dimensional model can be based on a particle filter using marginalization for all but three states. Simulation results show that the proposed algorithm is capable of detecting and tracking small dim targets efficiently.
LINKING MANUFACTURING CAPABILITIES WITH SBU STRATEGIC DIRECTIONS

This paper presents the results of a study exploring the relationship between strategic policy options and broad-based manufacturing competitive capabilities. The results represent the views of 213 managers on the manufacturing capabilities and strategic directions of their own business units. The findings indicate several relationships between the two conceptual domains. Among the various types of manufacturing capability, flexibility emerged as the most potent predictor of strategic directions. Note: Paper presented to the Operations Management Area of the Annual Meeting of the Decision Sciences Institute. Boston, November 23-25, 1987. 1 Professor of Production, Technology and Operations Management, lESE. 2 Professor, Boston University.
DIRECT PROOF THROUGH NON-DISJUNCTION THAT THE SEX-LINKED GENES OF DROSOPHILA ARE BORNE BY THE X-CHROMOSOME.

In " Non-disjunction of the Sex-chromosomes of Drosophila, " Jour. Exp. Zool. , November, 1913, the following case was presented: 1. In certain strains involving sex-linked characters, females arose which could not be explained upon the ordinary mechanism of sex-linked inheritance. These females were maternal in appearance, showing those sex-linked characters which the mother showed, but no influence of those borne by the father. 2. Breeding results showed that genetically as well as somatically these exceptional females were exact duplicates of their mother in that they carried no sex-linked genes introduced by the father. 3. Such exceptionally produced females inherit directly from their mother the power of producing like exceptions; for these females, in turn, gave in F 1 , when outcrossed to any male, five per cent. of daughters like themselves somatically and genetically. The remaining daughters are, in appearance, of the types expected on normal sex-linkage. 4. Exceptionally produced females gave in F 1 a class of sons (five per cent.) complementary to the matroclinous daughters in that these sons both somatically and genetically were purely paternal, having no sex-linked characters introduced by the mother. 5. The entire set of sex-linked genes of the mother, or the entire set of sex-linked genes of the father, appeared without addition or loss in the matroclinous daughters or patroclinous sons, respectively. This result was independent of the particular composition of the mother or father and held when the mother was mated to any male. 6. The exceptional F 1 males (patroclinous) when outcrossed to unrelated females did not give rise to exceptions in F 1 .
Mapping extended entity relationship model to object modeling technique

A methodology of reengineering existing extended Entity-Relationship(EER) model to Object Modeling Technique(OMT) model is described. A set of translation rules from EER model to a generic Object-Oriented(OO) model of OMT methodology is devised. Such reengineering practices not only can provide us with significant insight to the "interoperability" between the OO and the traditional semantic modelling techniques, but also can lead us to the development of a practical design methodology for object-oriented databases(OODB).
FREIGHT MODAL POLICIES TOWARD A SUSTAINABLE SOCIETY

Freight transport policy analysts struggle to shift truck freight movements to rail to diminish transportation externalities including environmental costs and safety issues. Therefore, policy-makers need to be aware of the consequences of their decisions beforehand. This study is mainly focused on two policies targeting fuel price and access to rail transportation. A nation-wide freight mode choice model is developed for Iran, and shippers’ tendency to choose rail or truck freight transportation is analyzed by considering the shipping time and cost, commodity weight, commodity type, and rail accessibility. Total fuel consumption and air pollution costs are compared in various scenarios. Based on the results, environmental transportation costs are significantly reduced as a result of the modal shift from truck to rail freight transportation, if the government reallocates the gasoline subsidy to the construction of prioritized railroads.
Assessment of Compliance with PEFC Forest Certification Indicators with Remote Sensing

The majority of Finnish forests (95%) are certified by the Programme for the Endorsement of Forest Certification (PEFC). It is a worldwide leading forest certification scheme. The aim of this study is to analyze the Finnish National Standard of PEFC certification and identify the indicators that can be reliably estimated with remote sensing (RS) techniques. The retrieved data are further verified with a chosen geographical information system (GIS) application. The rapid increase in certified areas globally has created a certain level of mistrust that makes the evaluation by certification bodies (CB) questionable. Firstly, the area of the field audit is limited, and the verification results are based on sampling techniques. Secondly, the evaluation of the indicators of sustainable forest management (SFM) is based on auditor expertise and thus is prone to bias. Thirdly, the actual condition of large forest stands in Eastern and Northern Finland are not easy to determine and verify. Thus, PEFC certification in Finland, in particular, faces numerous challenges in regard to the quality of field assessment due to the intensive forest management model with a high number of annual felling sites. At the same time, small scale and scattered harvesting sites are difficult to assess. Our proposed approach combined with remote assessment reliably verified 18% of the standard and could substantially reduce the costs associated with field audits in Finland. The results from our verification analysis are spatially explicit and geographically referenced and can be published in open access portals for interested parties. Moreover, it provides improved transparency in field assessments for the PEFC certification. The novel approach proposed here requires further investigation at larger scales (e.g., national level).
Reference Gene Selection for Quantitative Real-time PCR Normalization in Quercus suber

The use of reverse transcription quantitative PCR technology to assess gene expression levels requires an accurate normalization of data in order to avoid misinterpretation of experimental results and erroneous analyses. Despite being the focus of several transcriptomics projects, oaks, and particularly cork oak (Quercus suber), have not been investigated regarding the identification of reference genes suitable for the normalization of real-time quantitative PCR data. In this study, ten candidate reference genes (Act, CACs, EF-1α, GAPDH, His3, PsaH, Sand, PP2A, ß-Tub and Ubq) were evaluated to determine the most stable internal reference for quantitative PCR normalization in cork oak. The transcript abundance of these genes was analysed in several tissues of cork oak, including leaves, reproduction cork, and periderm from branches at different developmental stages (1-, 2-, and 3-year old) or collected in different dates (active growth period versus dormancy). The three statistical methods (geNorm, NormFinder, and CV method) used in the evaluation of the most suitable combination of reference genes identified Act and CACs as the most stable candidates when all the samples were analysed together, while ß-Tub and PsaH showed the lowest expression stability. However, when different tissues, developmental stages, and collection dates were analysed separately, the reference genes exhibited some variation in their expression levels. In this study, and for the first time, we have identified and validated reference genes in cork oak that can be used for quantification of target gene expression in different tissues and experimental conditions and will be useful as a starting point for gene expression studies in other oaks.
Who spoke what? A latent variable framework for the joint decoding of multiple speakers and their keywords

In this paper, we present a latent variable (LV) framework to identify all the speakers and their keywords given a single channel microphone recording containing a multi-speaker mixture signal. We introduce two separate LVs to denote active speakers and the keywords uttered. The dependency of a spoken keyword on the speaker is modeled through a conditional probability mass function. The distribution of the mixture signal is expressed in terms of the LV mass functions and speaker-specific-keyword models. The proposed framework admits stochastic models, representing the probability density function of the observation vectors given that a particular speaker uttered a specific keyword, as speaker-specific-keyword models. The LV mass functions are estimated in a Maximum Likelihood framework using the Expectation Maximization (EM) algorithm. The active speakers and their keywords are detected as modes of the joint distribution of the two LVs. With Student's-t Mixture Models (tMMs) as speaker specific keyword models, the proposed approach is able to detect at least one speaker-keyword pair, in mixture signal with two speakers, with an accuracy of 99% and both speaker-keyword pairs, with an accuracy of 82%.
Transferring domain rules in a constructive network: introducing RBCC

A new type of neural network is introduced, where symbolic rules are combined using a constructive algorithm. Initially, symbolic rules are converted into networks. Rule-based cascade-correlation (RBCC) then grows its architecture by a competitive process where these rule-based networks strive at capturing as much of the error as possible. A pruning technique for RBCC is also introduced, and the performance of the algorithm is assessed both on a simple artificial problem and on a real-world task of DNA splice-junction determination. Results of the real-world problem demonstrate the advantages of RBCC over other related algorithms in terms of processing time and accuracy.
Mediterranean Conference on Information Systems ( MCIS ) Summer 9-4-2014 IMPROVEMENT OF SERVICE QUALITY BY USING UBIQUITOUS COMPUTING IN HOSPITALITY

Economies of developed countries are primarily based on the services sector, where the hospitality industry plays an important role. As such, new service design and service innovation are vital for maintaining competitive advantage. Recently, ubiquitous computing has emerged as a key enabler in various industries in support of service innovation by facilitating the design of new services. This study aims to investigate the benefits provided by ubiquitous computing in the hospitality domain for improved service quality, customer satisfaction, and profitability. First, the literature on service quality is presented, and important quality dimensions are selected accordingly. After providing a brief review of related technologies and existing applications, a ubiquitous computing framework is proposed in support of innovative services for the hotel industry. Via the analysis of the framework, changes in business processes are exposed and the contributions of ubiquitous computing are discussed according to the identified service quality dimensions.
Timing optimization by bit-level arithmetic transformations

This paper describes a method to optimize the performance of data paths. It is based on bit-level arithmetic transmutations, and is especially suited to optimize large adder structures inside these data paths. The multi-operand adders are identified at the bit level and the addition parts are merged even across operator boundaries. Area and delay optimizations use CSD coding and timing-driven transformations, including bit-slice adder trees and logarithmic addition. The method forms a link between data path optimizations at the word level and logic synthesis techniques at the bit level. Experiments show that starting from a very simple description of an N/spl times/N multiplier an O(log N) delay is obtained with very low run times.
Two dimensional robust beamforming for air-ground communication system

This paper investigates a robust adaptive beamforming technique for two dimensional antenna array. Robustness is needed against imperfect knowledge of desired signal direction of arrival as well as against other errors. Erroneous estimation of source direction is especially true in air surveillance systems because aircraft are moving in high speed. Need for two dimensional antenna arrays is also substantial as aircraft are often at the same azimuth but at different elevation angles relative to ground system. Proposed algorithm is based on Generalized Sidelobe Canceller and uses Discrete Prolate Spheroidal Window or often refered to as Slepian window function. Only Slepians corresponding to large spectral concentration are used in both steering and blocking branches.
Statistical denormalization for Arabic text

In this paper, we focus on a sub-problem of Arabic text error correction, namely Arabic Text Denormalization. Text Denormalization is considered an important post-processing step when performing machine translation into Arabic. We examine different approaches for denormalization via the use of language modeling, stemming, and sequence labeling. We show the effectiveness of different approaches and how they can be combined to attain better results. We perform intrinsic evaluation as well as extrinsic evaluation in the context of machine translation.