Miracle-dz/UniFAR-FTUs huggingface dataset:
Psychometric Properties of the Parent Attitude toward Children's Expressiveness Scale (PACES).

The Parent Attitude toward Children's Expressiveness Scale (PACES) provides a measure of the degree of acceptance-control the respondent allows toward a child's hypothetical emotional and expressive behavior. PACES is a 20-item scale with a multiple choice format for each item. Emotional and expressive behaviors represented in PACES include anger, distress or sadness, fear, anxiety or nervousness, interest or curiosity, happiness or pleasure, and disgust. Some accepting responses are of a sympathetic or empathic sort, while others are more suggestive of permissiveness. Some of the most controlling reactions border on humiliating or ridiculing the child, while others are more indicative of a scolding response. The instrument appears to be a reliable instrument for assessing the degree of control in a parent's attitude toward children's emotional and expressive behavior. The scale appears to have good construct validity as an attitude measure that evaluates the degree to which parents believe children ought to control their displays of emotional and expressive behavior. Past and ongoing research with the scale is reviewed. It is concluded that PACES provides numerous possibilities for investigating a variety of questions in the area of emotional development, family systems, and socialization. (RH) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ****************************************************R****************** ri) U.S. DEPARTMENT OP EDUCATION t "co of Etluvalicmat ttaseorun and Impro,,ent f LK:A TIONAi RI t+04.1RCE9 INF (IRMA ION CE NrIT ft Riei %KT hti urNkni *141,0(1,1( P1 .4% tk.0,4"1 ttetT1 th pt,con ot v,,winettry Um,/ enangpg hpve been oliKte lc, fer,CoattCTcrt, Vt1,,,IS pt Vi't* clr opnlorl d% 0 11,+1,1 dal .11 "44( vssa, Psychometric Properties of the Parent Attitude Toward Children's Expressiveness Scale tFACES) Carolyn Saarni Department of Counselin9 Sonoma State Unlversit Rohnert Park, California 9492h PERMISSION TO REPRODUCE THIS MATERIAL HAS BEEN GRANTED BY _CckvSIkV TO THE EDUCATIONAL RESOURCLS INFORMATION CENTLI-4 Tt cirent Attitude toward Children.1: Elypressiveness copyrIghted; however. we welCoM(:its u,e in (-ers. researcJI. Please keep us informed of vo,t:resu) t1:7 with the fcale. A comulete copy of PACES has 0(-4? fl attacheJ to this unpubllt7;hed paper. Addlticlmal cop 1 es of thi! :-, paper til:73 y tie reproduced or obtained from the author.
Randomness friendly graphs

We consider the two problems from extremal graph theory: 1. Given integer N, real pE(0, 1) and a graph G, what is the minimum number of 2. Given an integer N and a graph G, what is the minimum number of copies of G an copies of G a graph H with N vertices and p N 2 / 2 edges can contain? N-vertex graph H and its complement H can contain altogether? In each of the problems, we say that G is “randomness friendly” if the number of its copies is nearly minimal when H is the random graph. We investigate how the two classes of graphs are related: the graphs which are “randomness friendly” in Problem 1 and those of Problem 2. In the latter problem, we discover new families of graphs which are “randomness friendly. ”
Multi-tenant databases for software as a service: schema-mapping techniques

In the implementation of hosted business services, multiple tenants are often consolidated into the same database to reduce total cost of ownership. Common practice is to map multiple single-tenant logical schemas in the application to one multi-tenant physical schema in the database. Such mappings are challenging to create because enterprise applications allow tenants to extend the base schema, e.g., for vertical industries or geographic regions. Assuming the workload stays within bounds, the fundamental limitation on scalability for this approach is the number of tables the database can handle. To get good consolidation, certain tables must be shared among tenants and certain tables must be mapped into fixed generic structures such as Universal and Pivot Tables, which can degrade performance. This paper describes a new schema-mapping technique for multi-tenancy called Chunk Folding, where the logical tables are vertically partitioned into chunks that are folded together into different physical multi-tenant tables and joined as needed. The database's "meta-data budget" is divided between application-specific conventional tables and a large fixed set of generic structures called Chunk Tables. Good performance is obtained by mapping the most heavily-utilized parts of the logical schemas into the conventional tables and the remaining parts into Chunk Tables that match their structure as closely as possible. We present the re sults of several experiments designed to measure the efficacy of Chunk Folding and describe the multi-tenant database testbed in which these experiments were performed.
Analysis of Components for Generalization using Multidimensional Scaling

To achieve better software quality, to shorten software development time and to lower development costs, software engineers are adopting generative reuse as a software design process. The usage of generic components allows increasing reuse and design productivity in software engineering. Generic component design requires systematic domain analysis to identify similar components as candidates for generalization. However, component feature analysis and identification of components for generalization usually is done ad hoc. In this paper, we propose to apply a data visualization method, called Multidimensional Scaling (MDS), to analyze software components in the multidimensional feature space. Multidimensional data that represent syntactical and semantic features of source code components are mapped to 2D space. The results of MDS are used to partition an initial set of components into groups of similar source code components that can be further used as candidates for generalization. STRESS value is used to estimate the generalizability of a given set of components. Case studies for Java Buffer and Geom class libraries are presented.
A stream-weight optimization method for multi-stream HMMs based on likelihood value normalization

In the field of audio-visual speech recognition, multi-stream HMM are widely used, thus how to automatically and properly determine stream weight factors using a small data set becomes an important research issue. This paper proposes a new stream-weight optimization method based on an output likelihood normalization criterion. In this method, the stream weights are adjusted to equalize the mean values of log likelihood for all HMM based on likelihood-ratio maximization which achieved significant improvement by using a large optimization data set. The new method is evaluated using Japanese connected digit speech recorded in real-world environments. Using 10 seconds speech data for stream-weight optimization, a 10% absolute accuracy improvement is achieved compared to the result before optimization. By additionally applying the MLLR (maximum likelihood linear regression) adaptation, a 23% improvement is obtained over the audio-only scheme.
CACTI 7

Historically, server designers have opted for simple memory systems by picking one of a few commoditized DDR memory products. We are already witnessing a major upheaval in the off-chip memory hierarchy, with the introduction of many new memory products—buffer-on-board, LRDIMM, HMC, HBM, and NVMs, to name a few. Given the plethora of choices, it is expected that different vendors will adopt different strategies for their high-capacity memory systems, often deviating from DDR standards and/or integrating new functionality within memory systems. These strategies will likely differ in their choice of interconnect and topology, with a significant fraction of memory energy being dissipated in I/O and data movement. To make the case for memory interconnect specialization, this paper makes three contributions. First, we design a tool that carefully models I/O power in the memory system, explores the design space, and gives the user the ability to define new types of memory interconnects/topologies. The tool is validated against SPICE models, and is integrated into version 7 of the popular CACTI package. Our analysis with the tool shows that several design parameters have a significant impact on I/O power. We then use the tool to help craft novel specialized memory system channels. We introduce a new relay-on-board chip that partitions a DDR channel into multiple cascaded channels. We show that this simple change to the channel topology can improve performance by 22% for DDR DRAM and lower cost by up to 65% for DDR DRAM. This new architecture does not require any changes to DIMMs, and it efficiently supports hybrid DRAM/NVM systems. Finally, as an example of a more disruptive architecture, we design a custom DIMM and parallel bus that moves away from the DDR3/DDR4 standards. To reduce energy and improve performance, the baseline data channel is split into three narrow parallel channels and the on-DIMM interconnects are operated at a lower frequency. In addition, this allows us to design a two-tier error protection strategy that reduces data transfers on the interconnect. This architecture yields a performance improvement of 18% and a memory power reduction of 23%. The cascaded channel and narrow channel architectures serve as case studies for the new tool and show the potential for benefit from re-organizing basic memory interconnects.
Proceedings of Fast '03: 2nd Usenix Conference on File and Storage Technologies 2nd Usenix Conference on File and Storage Technologies Passive Nfs Tracing of Email and Research Workloads

We present an analysis of a pair of NFS traces of contemporary email and research workloads. We show that although the research workload resembles previously-studied workloads, the email workload is quite different. We also perform several new analyses that demonstrate the periodic nature of file system activity, the effect of out-of-order NFS calls, and the strong relationship between the name of a file and its size, lifetime, and access pattern.
PeerAccess: a logic for distributed authorization

This paper introduces the PeerAccess framework for reasoning about authorization in open distributed systems, and shows how a parameterization of the framework can be used to reason about access to computational resources in a grid environment. The PeerAccess framework supports a declarative description of the behavior of peers that selectively push and/or pull information from certain other peers. PeerAccess local knowledge bases encode the basic knowledge of each peer (e.g., Alice's group memberships), its policies governing the release of each possible piece of information to other peers, and information that guides and limits its search process when trying to obtain particular pieces of information from other peers. PeerAccess proofs of authorization are verifiable and nonrepudiable, and their construction relies only on the local information possessed by peers and their parameterized behavior with respect to query answering, information push/pull, and information release policies (i.e., no omniscient viewpoint is required). We present the PeerAccess language and peer knowledge base structure, the associated formal semantics and proof theory, and examples of the use of PeerAccess in constructing proofs of authorization to access computational resources.
Evaluation of state-of-the-art pupil detection algorithms on remote eye images

Eye movements are a powerful source of information as well as the most intuitive form of interaction. Although eye-tracking technology is still in its infancy, it offers the greatest potential for novel communication solutions and applications. Whereas head-mounted eye-trackers are widely used in research, several applications require most unintrusive eye tracking, ideally realized by means of a single, low-cost camera placed away from the subject. However, such remote devices usually provide low resolution images and pose several challenges to gaze position estimation. The key challenge in such a scenario is the robust detection of the pupil center in the recorded image. We evaluated eight state-of-the-art algorithms for pupil detection on three manually labeled data sets recorded in remote tracking scenarios. Among the evaluated algorithms, ElSe [6] proved to be the best performing approach on overall 3202 images from remote eye tracking, which include changing illumination, occlusion, head movements, and off-axial camera position. In addition, we contribute a new data set with 445 annotated images, recorded in a fixed setup with a low cost camera capable of using natural and infrared light.
PENALIZED STRUCTURED ADDITIVE REGRESSION FOR SPACE-TIME DATA: A BAYESIAN PERSPECTIVE

We propose extensions of penalized spline generalized additive models for analyzing space-time regression data and study them from a Bayesian per- spective. Non-linear effects of continuous covariates and time trends are modelled through Bayesian versions of penalized splines, while correlated spatial effects follow a Markov random field prior. This allows to treat all functions and effects within a unified general framework by assigning appropriate priors with different forms and degrees of smoothness. Inference can be performed either with full (FB) or empiri- cal Bayes (EB) posterior analysis. FB inference using MCMC techniques is a slight extension of previous work. For EB inference, a computationally efficient solution is developed on the basis of a generalized linear mixed model representation. The second approach can be viewed as posterior mode estimation and is closely related to penalized likelihood estimation in a frequentist setting. Variance components, corresponding to inverse smoothing parameters, are then estimated by marginal likelihood. We carefully compare both inferential procedures in simulation studies and illustrate them through data applications. The methodology is available in the open domain statistical package BayesX and as an S-plus/R function.
The Use of Transgenic Mouse Models in the Study of Male Infertility

Over the past few decades with the rapid advances in embryo and embryonic stem cell manipulation techniques, transgenic mouse models have emerged as a powerful tool for the study of gene function and complex diseases including male infertility. In this review we give a brief history of the development of tools for the production of transgenic mouse models. This spans the advances from early pronuclear injection to the use of targeted embryonic stem cells to produce gene targeted, conditional, and inducible knockout mouse models. Lastly we provide a few examples to illustrate the utility of mouse models in the study of male infertility.
What Have We Learned about the Microbiomes of Indoor Environments?

The advent and application of high-throughput molecular techniques for analyzing microbial communities in the indoor environment have led to illuminating findings and are beginning to change the way we think about human health in relation to the built environment. Here I review recent studies on the microbiology of the built environment, organize their findings into 12 major thematic categories, and comment on how these studies have or have not advanced knowledge in each area beyond what we already knew from over 100 years of applying culture-based methods to building samples. ABSTRACT The advent and application of high-throughput molecular techniques for analyzing microbial communities in the indoor environment have led to illuminating findings and are beginning to change the way we think about human health in relation to the built environment. Here I review recent studies on the microbiology of the built environment, organize their findings into 12 major thematic categories, and comment on how these studies have or have not advanced knowledge in each area beyond what we already knew from over 100 years of applying culture-based methods to building samples. I propose that while we have added tremendous complexity to the rich existing knowledge base, the practical implications of this added complexity remain somewhat elusive. It remains to be seen how this new knowledge base will change how we design, build, and operate buildings. Much more research is needed to better understand the complexity with which indoor microbiomes may affect human health in both positive and negative ways.
Cutting Edge: Dysfunctional CD8+ T Cells Reside in Nonlymphoid Tissues During Chronic Trypanosoma cruzi Infection 1

Chagas disease is caused by persistent Trypanosoma cruzi infection in muscle tissue that ultimately results in chronic inflammation and tissue destruction. It is unclear why T. cruzi is cleared from some tissues but persists in others, despite an active inflammatory response. In this study, we show that the majority of CD8+ T cells present in muscle tissue express memory and effector cell surface markers but have sharply attenuated effector function compared with their splenic counterparts. The dysfunction of CD8+ T cells in the muscle tissue suggests a mechanism by which T. cruzi can persist in that location and cause inflammatory damage.
Methods for Generating Shotgun and Mixed Shotgun/Paired‐End Libraries for the 454 DNA Sequencer

With the introduction of massively parallel, microminiature‐based instrumentation for DNA sequencing, robust, reproducible, optimized methods are needed to prepare the target DNA for analysis using these high‐throughput approaches because the cost per instrument run is orders of magnitude more than for typical Sanger dideoxynucleotide sequencing on fluorescence‐based capillary systems. The methods provided by the manufacturer for genome sequencing using the 454/Roche GS‐20 and GS‐FLX instruments are robust. However, in an effort to streamline them for automation, we have incorporated several novel changes and deleted several extraneous steps. As a result of modifying these sample preparation protocols, the number of manual manipulations has also been minimized, and the overall yields have been improved for both shotgun and mixed shotgun/paired‐end libraries. Curr. Protoc. Hum. Genet. 61:18.1. 1‐18.1. 21. © 2009 by John Wiley & Sons, Inc.
Quantification of Gordona amarae Strains in Foaming Activated Sludge and Anaerobic Digester Systems with Oligonucleotide Hybridization Probes

ABSTRACT Previous studies have shown the predominance of mycolic acid-containing filamentous actinomycetes (mycolata) in foam layers in activated sludge systems. Gordona (formerlyNocardia) amarae often is considered the major representative of this group in activated sludge foam. In this study, small-subunit rRNA genes of four G. amarae strains were sequenced, and the resulting sequences were compared to the sequence ofG. amarae type strain SE-6. Comparative sequence analysis showed that the five strains used represent two lines of evolutionary descent; group 1 consists of strains NM23 and ASAC1, and group 2 contains strains SE-6, SE-102, and ASF3. The following three oligonucleotide probes were designed: a species-specific probe forG. amarae, a probe specific for group 1, and a probe targeting group 2. The probes were characterized by dissociation temperature and specificity studies, and the species-specific probe was evaluated for use in fluorescent in situ hybridizations. By using the group-specific probes, it was possible to place additional G. amarae isolates in their respective groups. The probes were used along with previously designed probes in membrane hybridizations to determine the abundance of G. amarae, group 1, group 2, bacterial, mycolata, and Gordona rRNAs in samples obtained from foaming activated sludge systems in California, Illinois, and Wisconsin. The target groups were present in significantly greater concentrations in activated sludge foam than in mixed liquor and persisted in anaerobic digesters. Hybridization results indicated that the presence of certain G. amarae strains may be regional or treatment plant specific and that previously uncharacterizedG. amarae strains may be present in some systems.
The Physical Fitness of Adolescents with Cerebral Palsy. Project UNIQUE II. Final Report.

DOCUMENT RESUME EC 211 829 Winnick, Joseph P.; Short, Francis X. The Physical Fit.less of Adolescents with Cerebral Palsy. Project UNIQUE II. Final Report. State Univ. of New York, Brockport. Coll. at Brockport. Special Education Programs (ED/OSERS), Washington, DC. Aug 88 G008630128 129p. ; Prepared by the Department of Physical Education and Sport. Reports Evaluative/Feasibility (142) MF01/PC06 Plus Postage. Ability Identification; Adolescents; Athletics; *Cerebral Palsy; Classification; *Mild Mental Retardation; *Physical Fitness *UNIQUE Physical Fitness Test. The final report describes a 2-year project of the State University of Nlw York, College at Brockport, to study the physical fitness of nonretarded and retarded adolescents with cerebral palsy. The UNIQUE Physical Fitness Test was administered to 203 cerebral palsied adolescents throughout the United States and from segregated and nonsegregated educational placements by 53 professional testers. Subjects were also classified on the basis of sport ability classifications used by the Cerebral Palsy International Sport and Recreation Association. A series of three way univariate analyses of covariance were performed utilizing intellectual classification, age, and gender as independent variables and functional ability as the covariate. A series of multiple regression analyses were also performed and factor analytic solutions were derived. Findings indicated: (1) mild mental retardation was not a significant factor on the physical fitness test performance of individuals with cerebral palsy; (2) the physical fitness factor structures of mildly retarded and nonretarded adolescents with cerebral palsy are virtually identical; and (3) the sport ability classification system was more discriminating in regard to physical fitness performance than the stationary or locomotor classification systems associated with the UNIQUE Physical Fitness Test. (DB) *********************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ************************************************14**********************
Voice quality in patients suffering from bipolar disease

People suffering from bipolar disease are more and more common. Such pathology can severely affect patients' lifestyle by wide, and sometimes extreme, mood swings. Biosignals can be very useful to understand this disease. Specifically, speech-related features have been seen to vary in depressed people with respect to healthy subjects. Usually prosodic, spectral and energy-related features are studied. Some further information, instead, can be provided studying voice quality. According to Laver's model, voice quality is sensitive and depends on both anatomic/physiologic issues and long-term muscular adjustments of the larynx or the supraglottal vocal tract. A pilot study on both bipolar patients and healthy control subjects, performed by means of the Long-Term Average Spectrum (LTAS) is presented. The effects on LTAS estimation of a F0-correction procedure are discussed. Pairwise statistical comparisons between subjects in euthymic and depressed states and euthymic and hypomanic states were performed. Significant differences were found in some frequency intervals in both cases. The F0-correction procedure modified the values of the significant frequency intervals in the euthymic/depressed comparison, that also was characterized by a change of F0. Noticeably, no statistically significant differences were found in control subjects acquired in the same mood state. Though the number of subjects is small, the results are encouraging given their coherence across patients and the lack of differences in the control group. Finally, this work suggests that particular vocal settings might be involved in different mood states.