Miracle-dz/UniFAR-FTUs huggingface dataset:
The IgG and Transferrin Receptors of the Human Syncytiotrophoblast Microvillus Plasma Membrane *

ABSTRACT: Fcγ receptor activity has been demonstrated using a radioisotopic assay on human syncytiotrophoblast microvillus plasma membrane (StMPM) vesicle preparations isolated from normal full‐term placentas. Prior chaotropic extraction to remove extrinsic membrane protein from StMPM preparations was shown to increase radiolabeled IgG uptake by up to 30%. Polyacrylamide disc gel electrophoresis (PAGE) has been used to indicate that the StMPM receptor for transferrin solubilizes in 1% sodium deoxycholate and retains its binding activity for transferrin. Quantitative data for both Fcγ and transferrin receptors obtained following study of isolated StMPM preparations are summarized. Current concepts for the potential role of trophoblast Fey and transferrin receptors in the mechanisms of transplacental passage of IgG and iron, respectively, from mother to fetus are illustrated and discussed.
Early vigilance and late avoidance of threat processing: Repressive coping versus low/high anxiety

The time course of a bias in predicting danger as a function of a repressive coping style was examined. The participants belonged to repressor, low - anxious, or high - anxious groups. They read context sentences predictive of threat or nonthreat event outcomes, followed by target words for rapid naming representing the outcomes. The interval between context and target word was 50 ms (Experiment 1), 550 ms (Experiment 2), or 1050 ms (Experiments 3 and 4). There was bias for naming words confirming threatening outcomes: (a) for repressors in the 550-ms delay condition; and (b) for high - anxiety participants in the 1050-ms delay condition. Repressive coping facilitated early processing of threat, but inhibited late processing, whereas high anxiety was characterised by sustained vigilance for threat. There were clear differences in threat processing by repressors and the low - anxious participants
Distributed Sensing and Stimulation Systems for Sense of Touch Restoration in Prosthetics

Modern prostheses aim at restoring the functional and aesthetic characteristics of the lost limb. To foster prosthesis embodiment and functionality, it is necessary to re-establish both volitional control and sensory feedback. Contemporary feedback interfaces presented in research use few sensors and stimulation units to feedback at most two discrete feedback variables (e.g., grasping force and aperture), whereas the human sense of touch relies on a distributed network of mechanoreceptors providing high-fidelity spatial information. To provide this type of feedback in prosthetics, it is necessary to sense tactile information from artificial skin placed on the prosthesis and transmit tactile feedback above the amputation in order to map the interaction between the prosthesis and the environment. This paper will provide a perspective on the use of distributed sensing and electrical stimulation systems for the restoration of the sense of touch in prosthetics.
FlyEye: grasp-sensitive surfaces using optical fiber

This paper presents a method for prototyping grasp-sensitive surfaces using optical fibers. In this system one end of a fiber bundle is attached to an image sensor. The other ends of the individual fibers are attached to distinct points of a surface. Thus the image sensor can detect changes in light reception caused by a hand covering the surface. By emitting infrared light through the surface and measuring the amount of reflected light the system can also recognize touch and proximity. Mapping between pixels on the image sensor and fiber positions on the surface is generated by a relative calibration method. This setup allows to quickly build grasp-sensitive objects without electronics skills.
Longitudinal Links between Contextual Risks, Parenting, and Youth Outcomes in Rural African American Families

Longitudinal links between contextual risks, parenting processes, youth self-regulation, academic achievement, and conduct problems were explored in young adolescents. Data were gathered across 4years from 139 rural, African American, single mother-headed families with young adolescents (mean age =11 years at recruitment). Structural equation modeling indicated that accumulated risks were associated with lower levels of the competence-promoting parenting practices that were linked indirectly with youth outcomes via youth self-regulation. A combination of parent and youth variables appears to foster a link that encourages academic achievement and discourages conduct problems during early adolescence. Parental involvement, support, and vigilance and youths' development of self-regulation appear to enhance development among rural African American youths growing up in challenging circumstances. When Wave 1 academic achievement and conduct problems were controlled, all paths in the model remained significant thereby indicating that the hypothesized path-ways accounted for change in the outcome variables across 3 years.
A high level SoC power estimation based on IP modeling

Current electronic system design requires to be concerned with power consumption consideration. However, in a lot of design tools, the application power consumption budget is estimated after RTL synthesis. We propose in this article a methodology based on measurements which allows to model the application power consumption with architectural and algorithmic parameters. So, the modeled applications can be added in a library in order to help the system designer to determine early in the design flow the best adequacy between high performances and low power consumption
Learning Styles: An overview of theories, models, and measures

Although its origins have been traced back much further, research in the area of learning style has been active for—at a conservative estimate—around four decades. During that period the intensity of activity has varied, with recent years seeing a particularly marked upturn in the number of researchers working in the area. Also of note is the variety of disciplines from which the research is emerging. Increasingly, research in the area of learning style is being conducted in domains outside psychology—the discipline from which many of the central concepts and theories originate. These domains include medical and health care training, management, industry, vocational training and a vast range of settings and levels in the field of education. It is of little wonder that applications of these concepts are so wide ranging given the centrality of learning—and how best to do it—to almost every aspect of life. As a consequence of the quantity of research, the diversity of the disciplines and domains in which the research is conducted, and the varied aims of the research, the topic has become fragmented and disparate. This is almost certainly how it must appear to practitioners and researchers new to the area, with its complexities and convolutions difficult to comprehend and assimilate. As such, it is perhaps timely to present an account of the central themes and issues surrounding learning style and to consider the instruments available for the measurement of style. This paper aims to provide such an account, attempting to clarify common areas of ambiguity and in particular issues surrounding measurement and appropriate instruments. It aims to bring together necessary components of the area in such a way as to allow for a broader appreciation of learning style and to inform regarding possible tools for measurement. It is anticipated that such an account will promote research in the field by presenting it as more accessible and by developing a greater appreciation for the area across disciplines and in researchers and practitioners new to the area.
Message ordering in multicast communication

Presents a simple solution to the problem of message ordering in multicast communication. The authors divide the problem into two subproblems: one for the broadcast network and the other for the point-to-point network. The solution for the subproblems are obtained first and then applied directly to the interconnected networks. The authors consider the characteristics of the underlying communication networks in the design of the multicast protocols. Especially, the network's broadcast capability is utilized as much as possible. They believe that it is easy to understand as well as to implement. <<ETX>>
Serum Metabolomic Profiling Identifies Characterization of Non-Obstructive Azoospermic Men

Male infertility is considered a common health problem, and non-obstructive azoospermia with unclear pathogenesis is one of the most challenging tasks for clinicians. The objective of this study was to investigate the differential serum metabolic pattern in non-obstructive azoospermic men and to determine potential biomarkers related to spermatogenic dysfunction. Serum samples from patients with non-obstructive azoospermia (n = 22) and healthy controls (n = 31) were examined using high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). Serum metabolomic profiling could differentiate non-obstructive azoospermic patients from healthy control subjects. A total of 24 metabolites were screened and identified as potential markers, many of which are involved in energy production, oxidative stress and cell apoptosis in spermatogenesis. Moreover, the results showed that various metabolic pathways, including d-glutamine and d-glutamate metabolism, taurine and hypotaurine metabolism, pyruvate metabolism, the citrate cycle and alanine, aspartate and glutamate metabolism, were disrupted in patients with non-obstructive azoospermia. Our results indicated that the serum metabolic disorders may contribute to the etiology of non-obstructive azoospermia. This study suggested that serum metabolomics could identify unique metabolic patterns of non-obstructive azoospermia and provide novel insights into the pathogenesis underlying male infertility.
Children with peer adjustment problems: sequential and nonsequential analyses of school behaviors.

Comparaison du comportement de garcons de deux classes primaires (4eme et 6eme grade) reputes avoir des relations interpairs positives (P) et negatives (N) en milieu scolaire naturel. L'ecart entre les sujets P et N est plus grand dans l'echantillon plus âge que dans le plus jeune. Les garcons catalogues N ont demontre un exces de comportement agressif ludique suggerant des troubles de la socialisation de l'agressivite. Des analyses sequentielles ont ete effectuees pour etudier la progression des interactions
Effects of School Restructuring on the Achievement and Engagement of Middle-Grade Students.

Etude de l'impact de la restructuration au sein des etablissements scolaires - publiques, catholiques et independents - (departementalisation reduite, regroupement plus heterogene, restructuration des equipes d'enseignants, etc.) sur l'engagement, la reussite des adolescents ainsi que sur leurs comportements a risque. Les AA. remarquent les effets positifs de la restructuration sur l'engagement et la reussite, de meme qu'une distribution sociale plus equitable de ces resultats.
Dual active bridge-based full-integrated active filter auxiliary power module for electrified vehicle applications with single-phase onboard chargers

In single-phase AC onboard chargers for electrified vehicles, second-order harmonic current and corresponding ripple voltage exist on the DC bus. The low-frequency harmonic current is normally filtered using a bulk capacitor or an additional active filter (AF) circuit. This presents an obstacle for improving the power density as well as reducing the cost. In this paper, a dual active bridge (DAB)-based full-integrated active filter auxiliary power module (AFAPM) is presented so that when the high-voltage (HV) battery is charging, the DAB converter acts as an active filter; and when the low-voltage (LV) battery needs to be charged, the DAB converter works as a LV battery charger. Therefore, the required DC-link capacitance in the HV battery can be reduced significantly and, hence, the cost and volume of the dual-voltage system in the electrified vehicle applications can be reduced. The effectiveness of the proposed method is verified by simulation results.
Memory controller for globally uncoordinated and locally coordinated checkpointing

In order to deal with soft errors that affect the logic of multiprocessors, a new architecture with backward error recovery capability is proposed. The proposed architecture uses the fault containment capability offered by memory protection units for reducing the overhead due to the checkpointing information management. A new hybrid checkpointing scheme is proposed that aims at performing coordinated checkpointing on logic data sets that are built on software ensembles that logically interact. A new memory controller able to manage the checkpointing information is proposed for this architecture. It has been designed for minimizing the performance overhead for error-free scenarios. The performance and memory overhead have been evaluated for different applications.
EFL teachers’ attempts at feedback innovation in the writing classroom

To date, research on feedback in second language (L2) writing has primarily focused on feedback per se, with little attention paid to the teachers’ professional development with regard to feedback in writing. This study aims to explore the ways in which two secondary teachers in Hong Kong attempted to implement feedback innovation in their writing classrooms after receiving some professional development input, as well as the factors that influenced their attempts at feedback innovation. The findings indicate that the teachers were unable to fully translate into practice the feedback principles acquired from teacher education and reveal a string of factors that influenced their attempts at feedback innovation. The study has implications for teacher education and teacher professional development, shedding light on how teachers can be supported to bring innovation to conventional feedback approaches in the writing classroom.
Edge Histogram Descriptor for Finger Vein Recognition

Edge histogram descriptor (EHD) is an efficient texture representation method originally proposed in MPEG7 to express the local edge distribution in an image. To efficiently utilize the edge and orientation features of rich veins located inside a finger, in this paper, we propose a finger vein recognition method using edge histogram descriptor. Different from the original usage that divides the image space into 4 × 4 sub-images, we investigate the relationship between finger vein recognition performance and partition style of input image. The optimal parameter is searched for final recognition. Additionally, the nearest neighbor classifier with Euclidean distance metric is employed for matching. Experimental results on an available finger vein database, MMCBNU_6000, show that the proposed method performs better than those using state-ofthe-art algorithms.
Regulation of Pharmacogene Expression by microRNA in The Cancer Genome Atlas (TCGA) Research Network

Individual differences in drug responses are associated with genetic and epigenetic variability of pharmacogene expression. We aimed to identify the relevant miRNAs which regulate pharmacogenes associated with drug responses. The miRNA and mRNA expression profiles derived from data for normal and solid tumor tissues in The Cancer Genome Atlas (TCGA) Research Network. Predicted miRNAs targeted to pharmacogenes were identified using publicly available databases. A total of 95 pharmacogenes were selected from cholangiocarcinoma and colon adenocarcinoma, as well as kidney renal clear cell, liver hepatocellular, and lung squamous cell carcinomas. Through the integration analyses of miRNA and mRNA, 35 miRNAs were found to negatively correlate with mRNA expression levels of 16 pharmacogenes in normal bile duct, liver, colon, and lung tissues (p<0.05). Additionally, 36 miRNAs were related to differential expression of 32 pharmacogene mRNAs in those normal and tumorigenic tissues (p<0.05). These results indicate that changes in expression levels of miRNAs targeted to pharmacogenes in normal and tumor tissues may play a role in determining individual variations in drug response.
Developing Career Ladders in Teaching

rates highly might not satisfy another at all. Recognizing this problem, Pogrow states that his evaluations are &dquo;. useful for narrowing the range of systems (considered),&dquo; after which &dquo;school/ district personnel must conduct their own evaluation of leading contenders to determine which software best meets their particular needs. &dquo; (The May 1985 NASSP Bulletin includes criteria for evaluating educational administrative software.) A reader not familiar with computer terminology may have trouble following the text, which includes neither an index
Association Rule Discovery with Constraint Logic Programming

Association rule discovery is one of a major data mining task that has gained much interest from researchers and general users. The knowledge from association mining can be used to recommend product, design catalogs and promotional management. But data processing for association rule discovery has expensive time because the relationship from data can be tremendously many more than other data mining tasks such as classification. As a consequence, most association mining software generally create so many rules from the association mining process and some of these rules are not beneficial to any users. To solve this problem, we propose to incorporate Apriori algorithm with constraint function for user to specify subset of association rules of interest items. Users can also identify length of the rules. Our Apriori-with-constraint algorithm can reduce processing time and reduce a great number of useless rules. Key-Words: Data mining, Association, Constraints Logic Programming
Introducing power-shaped advanced resource assignment ( PSARA ) in fixed broadband wireless access systems

In thispaperweproposeanew techniquefor assigning radiochannelsin TDMA-basedfixedbroadbandwireless accesssystems(FBWA) with full frequencyreuse. The proposedtechnique, namedPower-ShapedAdvancedResource Assignement (PSARA),has the aim of partially organizing the intercell and intersector interferencein a cellular systemwhere basestationsassignradio resources in an uncoordinatedfashion. This is doneby usingan appropriatesetof powerprofilesthat limit (or shape)the power transmittedin each slot of the frame. Theallocation algorithm assignstime slots to users on the basis of the power required to fulfill a predefined carrier-to-interferenceratio,which is suitablyestimated. Simulationresultsfor a typical cellular FBWA system showthat this techniquesignificantly improvesthe capacity with respectto a systemthat assignsresources withoutpowershaping, evenwith powercontrol.
The Development of Orthographic Rimes as Units of Word Recognition.

The current study used the orthographic rime frequency effect as a means of investigating the development of, and individual differences in, children′s ability to use orthographic rimes as functional units of reading. Sets of pseudowords were constructed, varying in the frequency of their constituent orthographic rimes. Experiment 1 investigated the orthographic rime frequency effect in a large sample of first-grade children. As expected, the orthographic rime frequency effect was significant only in relatively advanced first-grade readers. Experiment 2 used a reading-level design to further investigate the orthographic rime frequency effect as a function of both age and word identification ability. Pseudoword reading accuracy was examined in poor fourth-grade readers, a younger reading-level-matched group, and a chronological age control group. Strong main effects were observed for reader group and orthographic rime frequency but these factors did not interact. Overall, these two experiments suggest that the size of the orthographic rime frequency effect reflects the operation of two factors that increase with reading ability, the size of children′s sight vocabulary (contributing primarily to the availability of orthographic rime correspondences to read pseudowords constructed from relatively common orthographic rimes), and grapheme-phoneme conversion skill (contributing primarily to the decoding of pseudowords constructed from uncommon orthographic rimes for which orthographic rime correspondences are less likely to be derived from the sight word vocabulary). In addition, Experiment 2 implicated a general phonological recoding deficit as an underlying problem in children′s word reading difficulties.
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing

Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Releasing synthetic data that mimic original data with Differential privacy provides a promising way for privacy preserving data sharing and analytics while providing a rigorous privacy guarantee. However, to this date there is no open-source tools that allow users to generate differentially private synthetic data, in particular, for high dimensional and large domain data. Most of the existing techniques that generate differentially private histograms or synthetic data only work well for single dimensional or low-dimensional histograms. They become problematic for high dimensional and large domain data due to increased perturbation error and computation complexity. We propose DPSynthesizer, a toolkit for differentially private data synthesization. The core of DPSynthesizer is DPCopula designed for high-dimensional and large-domain data. DPCopula computes a differentially private copula function from which synthetic data can be sampled. Copula functions are used to describe the dependence between multivariate random vectors and allow us to build the multivariate joint distribution using one-dimensional marginal distributions. DPSynthesizer also implements a set of state-of-the-art methods for building differentially private histograms, suitable for low-dimensional data, from which synthetic data can be generated. We will demonstrate the system using DPCopula as well as other methods with various data sets and show the feasibility, utility, and efficiency of various methods.
A Massive Substellar Companion to the Massive Giant HD 119445

We detected a brown dwarf-mass companion around the intermediate-mass giant star HD 119445 (G6III) using the Doppler technique. This discovery is the first result from a KoreanJapanese planet search program based on precise radial velocity measurements. The radial velocity of this star exhibits a periodic Keplerian variation with a period, semiamplitude, and eccentricity of 410.2 d, 413.5 m s � 1 , and 0.082, respectively. Adopting a stellar mass of 3.9 Mˇ, we were able to confirm the presence of a massive substellar companion with a semimajor axis of 1.71 AU and a minimum mass of 37.6MJ, which falls in the middle of the brown dwarf-mass region. This substellar companion is the most massive ever discovered within 3 AU of a central intermediate-mass star. The host star also ranks among the most massive stars with substellar companions ever detected by the Doppler technique. This result supports the current view of substellar systems that more massive substellar companions tend to exist around more massive stars, and may further constrain substellar system formation mechanisms.