Miracle-dz/UniFAR-FTUs huggingface dataset:
Integrating Consultation Into Social Skills Training: Implications for Practice

Social skills training interventions have been used extensively for remediating interpersonal deficits of children and adolescents. These interventions represent an essential component of school curricula for at-risk and handicapped students, and have been incorporated into treatment programs for youngsters receiving services in psychiatric hospitals or clinics, residential facilities, and correctional institutions. As the degree of specialized knowledge necessary to effectively implement social skills training programs increases, the need for consultation services becomes more acute. Specific functional relationships among child characteristics, target behaviors, and interventions, for instance, must be analyzed with respect to ecological parameters and constraints. In this article, I discuss the use of consultation for conceptualizing and implementing social skills training with youngsters. Integrating consultation into social skills training requires developing a dynamic and collaborative relationship .
Self-refereed on-chip jitter measurement circuit using Vernier oscillators

Among many recently proposed on-chip jitter measurement designs, Vernier delay line (VDL) is one of the most widely adopted methods that can achieve fine resolution. However, there are two major design challenges: the first is the mismatching of delay buffers; the second is the unavailability of an on-chip jitter free reference signal. To overcome these two challenges, we propose a self-refereed on-chip jitter measurement circuit. This measurement circuit eliminates the requirement to a jitter free reference signal. In addition, it utilizes Vernier oscillators to alleviate the mismatching effect in Vernier lines. Using this design, the jitter distribution and jitter RMS value can be characterized. To validate the design, the circuit has been implemented using IBM 7 HP 0.18um CMOS technology.
Online hierarchical transformation of hidden Markov models for speech recognition

This paper proposes a novel framework of online hierarchical transformation of hidden Markov model (HMM) parameters for adaptive speech recognition. Our goal is to incrementally transform (or adapt) all the HMM parameters to a new acoustical environment even though most of HMM units are unseen in observed adaptation data. We establish a hierarchical tree of HMM units and apply the tree to dynamically search the transformation parameters for individual HMM mixture components. In this paper, the transformation framework formulated according to the approximate Bayesian estimate, where the prior statistics and the transformation parameters can be jointly and incrementally refreshed after each consecutive adaptation data, is presented. Using this formulation, only the refreshed prior statistics and the current block of data are needed for online transformation. In a series of speaker adaptation experiments on the recognition of 408 Mandarin syllables, we examine the effects on constructing various types of hierarchical trees. The efficiency and effectiveness of proposed method on incremental adaptation of overall HMM units are also confirmed. Besides, we demonstrate the superiority of proposed online transformation to Huo's (see ibid., vol.5, p.161-72, 1997) on-line adaptation for a wide range of adaptation data.
LEAF TIP NECROSIS1 Plays a Pivotal Role in the Regulation of Multiple Phosphate Starvation Responses in Rice1[W][OA]

Although phosphate (Pi) starvation signaling is well studied in Arabidopsis (Arabidopsis thaliana), it is still largely unknown in rice (Oryza sativa). In this work, a rice leaf tip necrosis1 (ltn1) mutant was identified and characterized. Map-based cloning identified LTN1 as LOC_Os05g48390, the putative ortholog of Arabidopsis PHO2, which plays important roles in Pi starvation signaling. Analysis of transgenic plants harboring a LTN1 promoter::β-glucuronidase construct revealed that LTN1 was preferentially expressed in vascular tissues. The ltn1 mutant exhibited increased Pi uptake and translocation, which led to Pi overaccumulation in shoots. In association with enhanced Pi uptake and transport, some Pi transporters were up-regulated in the ltn1 mutant in the presence of sufficient Pi. Furthermore, the elongation of primary and adventitious roots was enhanced in the ltn1 mutant under Pi starvation, suggesting that LTN1 is involved in Pi-dependent root architecture alteration. Under Pi-sufficient conditions, typical Pi starvation responses such as stimulation of phosphatase and RNase activities, lipid composition alteration, nitrogen assimilation repression, and increased metal uptake were also activated in ltn1. Moreover, analysis of OsmiR399-overexpressing plants showed that LTN1 was down-regulated by OsmiR399. Our results strongly indicate that LTN1 is a crucial Pi starvation signaling component downstream of miR399 involved in the regulation of multiple Pi starvation responses in rice.
Lethal (2) Giant Larvae: An Indispensable Regulator of Cell Polarity and Cancer Development

Cell polarity is one of the most basic properties of all normal cells and is essential for regulating numerous biological processes. Loss of polarity is considered a hallmark for cancer. Multiple polarity proteins are implicated in maintenance of cell polarity. Lethal (2) giant larvae (Lgl) is one of polarity proteins that plays an important role in regulating cell polarity, asymmetric division as well as tumorigenesis. Lgl proteins in different species have similar structures and conserved functions. Lgl acts as an indispensable regulator of cell biological function, including cell polarity and asymmetric division, through interplaying with other polarity proteins, regulating exocytosis, mediating cytoskeleton and being involved in signaling pathways. Furthermore, Lgl plays a role of a tumor suppressor, and the aberrant expression of Hugl, a human homologue of Lgl, contributes to multiple cancers. However, the exact functions of Lgl and the underlying mechanisms remain enigmatic. In this review, we will give an overview of the Lgl functions in cell polarity and cancer development, discuss the potential mechanisms underlying these functions, and raise our conclusion of previous studies and points of view about the future studies.
COLLABORATIVE FILTERING: A NEW APPROACH TO SEARCHING DIGITAL LIBRARIES

At Oregon State University (OSU), the School of Electrical Engineering and Computer Science (EECS) and the OSU Libraries are working together on a project to improve the effectiveness and accessibility of digital information created and collected by academic libraries. This project focuses on making digital resources more accessible through an innovative search interface that incorporates collaborative filtering. New approaches to search interfaces will help make the growing wealth of online content more accessible and useful. This paper discusses the problem, explains how collaborative filtering works, describes the System for Electronic Recommendation Filtering (SERF), and then presents initial results from an installation in the OSU Libraries. The productive collaboration at OSU between the Libraries and EECS portends the future of development of search systems; by working together, we can harness the expertise of librarians, computer scientists, and information users to develop more useful search interfaces and increase access to the libraries’ resources and services.
Vertical Distribution and Migration Patterns of Nautilus pompilius

Vertical depth migrations into shallower waters at night by the chambered cephalopod Nautilus were first hypothesized early in the early 20th Century. Subsequent studies have supported the hypothesis that Nautilus spend daytime hours at depth and only ascend to around 200 m at night. Here we challenge this idea of a universal Nautilus behavior. Ultrasonic telemetry techniques were employed to track eleven specimens of Nautilus pompilius for variable times ranging from one to 78 days at Osprey Reef, Coral Sea, Australia. To supplement these observations, six remotely operated vehicle (ROV) dives were conducted at the same location to provide 29 hours of observations from 100 to 800 meter depths which sighted an additional 48 individuals, including five juveniles, all deeper than 489 m. The resulting data suggest virtually continuous, nightly movement between depths of 130 to 700 m, with daytime behavior split between either virtual stasis in the relatively shallow 160–225 m depths or active foraging in depths between 489 to 700 m. The findings also extend the known habitable depth range of Nautilus to 700 m, demonstrate juvenile distribution within the same habitat as adults and document daytime feeding behavior. These data support a hypothesis that, contrary to previously observed diurnal patterns of shallower at night than day, more complex vertical movement patterns may exist in at least this, and perhaps all other Nautilus populations. These are most likely dictated by optimal feeding substrate, avoidance of daytime visual predators, requirements for resting periods at 200 m to regain neutral buoyancy, upper temperature limits of around 25°C and implosion depths of 800 m. The slope, terrain and biological community of the various geographically separated Nautilus populations may provide different permutations and combinations of the above factors resulting in preferred vertical movement strategies most suited for each population.
The Dizziness Handicap Inventory and Its Relationship With Functional Balance Performance

Objective: The purpose of this study was to describe the relation between the Dizziness Handicap Inventory (DHI) and balance performance measures. Study Design: Retrospective case series. Setting: Outpatient balance clinic in a tertiary referral center. Patients: Patients referred with dizziness or imbalance of vestibular and nonvestibular origin. Outcome Measures: DHI, Romberg with Jendrassik maneuver, standing on foam, tandem Romberg, single-leg stance, the timed up and go test, the Dynamic Gait Index (DGI), tandem gait, and the 10-m walking test. Results: The mean age of participants (n = 214) was 53.9 years. The mean DHI total score was 35.1, ranging from 0 to 96. Spearman rank correlation coefficients (rS) between DHI and the static balance tests were fair and ranged between −0.42 (p < 0.01) for single-leg stance with eyes closed and −0.51 (p < 0.01) for single-leg stance with eyes open. Only the Romberg test with Jendrassik maneuver correlated weakly (rS = −0.25; p < 0.01) with the DHI. Correlations with the walking tests were moderate, the connection with the DGI being the strongest one (rS = −0.69; p < 0.01). Forty-two percent of the variance in DHI scores in our patients was accounted for by the DGI score (r2 = 0.417). Conclusion: Functional balance tests involving locomotion correlate better with DHI scores when compared with static balance measures. The DGI explains a large component of handicap in dizzy and unsteady patients, which advocates its use in these patients.
Environment Support for Cooperative Working

Distribution and communication technology have a significant role to play in the development of computer systems to support group work. This paper examines the issues surrounding the support of CSCW systems and how this can be achieved by the development of a CSCW environment. This paper introduces an approach to the development of a CSCW environment and its implication for distributed systems. The components of a CSCW environment are introduced and a possible architecture for the realisation of the environment model is presented.
Considerations for Adaptive Tutoring Within Serious Games: Authoring Cognitive Models and game Interfaces

Abstract : In reflecting on a recent emphasis on self-directed learning using game-based simulations and virtual worlds, the authors considered key challenges in transforming serious games and virtual worlds into adaptive training tools. This article reflects specifically on the challenges and potential of cognitive modeling techniques for game-based tutors and game integration with computer-based. Finally, as we integrate tutors and games, a rubric is offered to identify some of the salient characteristics of adaptive game-based, tutoring systems.
Role of Tir and Intimin in the Virulence of Rabbit Enteropathogenic Escherichia coli Serotype O103:H2

ABSTRACT Attaching and effacing (A/E) rabbit enteropathogenicEscherichia coli (REPEC) strains belonging to serogroup O103 are an important cause of diarrhea in weaned rabbits. Like human EPEC strains, they possess the locus of enterocyte effacement clustering the genes involved in the formation of the A/E lesions. In addition, pathogenic REPEC O103 strains produce an Esp-dependent but Eae (intimin)-independent alteration of the host cell cytoskeleton characterized by the formation of focal adhesion complexes and the reorganization of the actin cytoskeleton into bundles of stress fibers. To investigate the role of intimin and its translocated coreceptor (Tir) in the pathogenicity of REPEC, we have used a newly constructed isogenic tir null mutant together with a previously described eae null mutant. When human HeLa epithelial cells were infected, the tir mutant was still able to induce the formation of stress fibers as previously reported for theeae null mutant. When the rabbit epithelial cell line RK13 was used, REPEC O103 produced a classical fluorescent actin staining (FAS) effect, whereas both the eae and tirmutants were FAS negative. In a rabbit ligated ileal loop model, neither mutant was able to induce A/E lesions. In contrast to the parental strain, which intimately adhered to the enterocytes and destroyed the brush border microvilli, bacteria of both mutants were clustered in the mucus without reaching and damaging the microvilli. The role of intimin and Tir was then analyzed in vivo by oral inoculation of weaned rabbits. Although both mutants were still present in the intestinal flora of the rabbits 3 weeks after oral inoculation, neither mutant strain induced any clinical signs or significant weight loss in the inoculated rabbits whereas the parental strain caused the death of 90% of the inoculated rabbits. Nevertheless, an inflammatory infiltrate was present in the lamina propria of the rabbits infected with both mutants, with an inflammatory response greater for theeae null mutant. In conclusion, we have confirmed the role of intimin in virulence, and we have shown, for the first time, that Tir is also a key factor in vivo for pathogenicity.
Improving fault coverage and minimising the cost of fault identification when testing from finite state machines

Software needs to be adequately tested in order to increase the confidence that the system being developed is reliable. However, testing is a complicated and expensive process. Formal specification based models such as finite state machines have been widely used in system modelling and testing. In this PhD thesis, we primarily investigate fault detection and identification when testing from finite state machines. The research in this thesis is mainly comprised of three topics construction of multiple Unique Input/Output (UIO) sequences using Metaheuristic Optimisation Techniques (MOTs), the improved fault coverage by using robust Unique Input/Output Circuit (UIOC) sequences, and fault diagnosis when testing from finite state machines. In the studies of the construction of UIOs, a model is proposed where a fitness function is defined to guide the search for input sequences that are potentially UIOs. In the studies of the improved fault coverage, a new type of UIOCs is defined. Based upon the Rural Chinese Postman Algorithm (RCPA), a new approach is proposed for the construction of more robust test sequences. In the studies of fault diagnosis, heuristics are defined that attempt to lead to failures being observed in some shorter test sequences, which helps to reduce the cost of fault isolation and identification. The proposed approaches and techniques were evaluated with regard to a set of case studies, which provides experimental evidence for their efficacy.
Joint Max Margin and Semantic Features for Continuous Event Detection in Complex Scenes

In this paper the problem of complex event detection in the continuous domain (i.e. events with unknown starting and ending locations) is addressed. Existing event detection methods are limited to features that are extracted from the local spatial or spatio-temporal patches from the videos. However, this makes the model vulnerable to the events with similar concepts e.g. "Open drawer" and "Open cupboard". In this work, in order to address the aforementioned limitations we present a novel model based on the combination of semantic and temporal features extracted from video frames. We train a max-margin classifier on top of the extracted features in an adaptive framework that is able to detect the events with unknown starting and ending locations. Our model is based on the Bidirectional Region Neural Network and large margin Structural Output SVM. The generality of our model allows it to be simply applied to different labeled and unlabeled datasets. We finally test our algorithm on three challenging datasets, "UCF 101-Action Recognition", "MPII Cooking Activities" and "Hollywood", and we report state-of-the-art performance.
Severity of coronary artery stenosis is associated with a polymorphism in the CXCL16/SR‐PSOX gene

Objective. Enhanced expression of CXCL16 has been demonstrated in atherosclerotic plaques and several properties have been attributed to CXCL16 that could influence the atherosclerotic process. CXCL16 exists in transmembrane and soluble forms. The transmembrane form acts as a scavenger receptor for oxidised LDL whereas the soluble form acts a chemoattractant for mainly CD8+ T cells. In addition, the soluble form of CXCL16 influences human aortic smooth muscle cell proliferation in vitro. In the present work, a human molecular genetic approach employing a common polymorphism within exon 4 of CXCL16 (181 Ala>Val) was used to investigate whether CXCL16 may be involved in the development of coronary artery disease. The polymorphism is located within the spacer region between the chemokine and transmembrane region and potentially influences an Ala/Val cleavage site, a site commonly used for the release of chemokines by tumour necrosis factor‐α converting enzyme.
A Convolutional Neural Network Based Two-Stage Document Deblurring

Blurring often happens when capturing documents with hand held cameras, which has negative effects on the Optical Character Recognition systems. In this paper, we propose a Convolutional Neural Network (CNN) based two-stage deblurring method. The method can deal with both real motion blur and focal blur situations, while it does not require exact estimation of the blur kernel. To achieve this, the whole blur kernel space is divided into several degradative sub-spaces. Firstly, a CNN classifier is trained to predict which sub-space the blurry image belongs to at the patch level. Then, several patches voting for the specific blur kernel sub-space is developed. Given the strong learning ability of CNN, only one CNN model corresponding to a degradative kernel sub-space is trained to restore the sharp images in the image restoration step. Experimental results show that the proposed approach performs well on the real blurring document images. In addition, we demonstrate that the proposed method could also handle the spatially-varying blurring
Evaluation of effect of reducing additives during vitrification via simulation and experiment

This study investigates how reducing additives governed the vitrification of prepared specimens. In the experiments, pure CaO/CaCO3 and SiO2 served as the major components of glassy matrix (basicity = mass ratio of CaO/SiO2 = 2/3) with doping of hazardous metals (Cr, Cu, and Ni). The substitution ratio of CaCO3 for CaO was used as an operating parameter. The specimens were vitrified at 1400°C and a sequential extraction protocol was used to determine the phase distribution of Cr, Cu, and Ni. The volume fractions of crystalline and amorphous phases were measured using semiquantitative x-ray diffraction (XRD) analysis. A commercial software package (HSC Chemistry 6.0) was used to simulate the experiment to acquire additional information. The simulation results showed the addition of CaCO3 generated CO and CO2 at high temperature. This reducing atmosphere might enhance Cu and Ni to be easily separated from slags and elevated the levels of Cu and Ni in ingots. At higher CaCO3 mol(%), the polymerization of silicate (from sorosilicate to inosilicate) in slag rose and the CaSiO3 amount increased. In addition, the immobilization of metals and the acid resistance of slags were improved. The results indicate that CaCO3 addition is favorable for increasing the metal level in ingots and the metal encapsulation in slag in vitrification. Implications: Vitrification techniques are often used to treat hazardous materials. The additives used in vitrification processes play an important role in vitrification. This study combines simulations (based on HSC Chemistry) and experiments to evaluate the effect of CaCO3 addition (creating a reducing atmosphere) on toxic metal stabilization in vitrification. This way, the effects of different parameters on toxic metal stabilization in vitrification can also be evaluated.
Conserved Non-Coding Regulatory Signatures in Arabidopsis Co-Expressed Gene Modules

Complex traits and other polygenic processes require coordinated gene expression. Co-expression networks model mRNA co-expression: the product of gene regulatory networks. To identify regulatory mechanisms underlying coordinated gene expression in a tissue-enriched context, ten Arabidopsis thaliana co-expression networks were constructed after manually sorting 4,566 RNA profiling datasets into aerial, flower, leaf, root, rosette, seedling, seed, shoot, whole plant, and global (all samples combined) groups. Collectively, the ten networks contained 30% of the measurable genes of Arabidopsis and were circumscribed into 5,491 modules. Modules were scrutinized for cis regulatory mechanisms putatively encoded in conserved non-coding sequences (CNSs) previously identified as remnants of a whole genome duplication event. We determined the non-random association of 1,361 unique CNSs to 1,904 co-expression network gene modules. Furthermore, the CNS elements were placed in the context of known gene regulatory networks (GRNs) by connecting 250 CNS motifs with known GRN cis elements. Our results provide support for a regulatory role of some CNS elements and suggest the functional consequences of CNS activation of co-expression in specific gene sets dispersed throughout the genome.
Reassessing the Principal's Role in School Effectiveness: A Review of Empirical Research, 1980-1995

Although the is little disagreement conquering the belief that principals have an impact on the lives of teachers and students, both the nature and degree of this effect continues to be open to debate. The relationship is complex and not easily subject to empirical verification. This article reviews the empirical literature on the relationship between the principal's role and school effectiveness during the period from 1980 to 1995. We specifically focus on the conceptual underpinnings of several theoretical models to study the role, the relationship between models and methods of investigation, an4 consequently, to what has been learned about the nature of the principal impact. We conclude by framing a possible research agenda for the next generation of studies on the effects of school administration.