Miracle-dz/UniFAR-FTUs huggingface dataset:
Analysis of combined features at semantic argument classification

Getting semantic argument representation of a sentence is necessary in natural language processing, such as information extraction and question answering. In the semantic role labeling, selection of features become influential on its performance and also affect the recall and precision produced. The problem now is how to combine the features and combinations such as what is used in order to get the expected performance for semantic role labeling. This research tries to analyze and combine some of the features that have already existed and shown optimal result performance in previous studies. Features used in this research are Baseline Feature plus Noun Head of PP, First Word in Constituent, Syntactic Frame, Argument Order and Constituent Order, that will be used in the classification of a semantic argument. Results from this study indicate that not all random combinations of features can improve performance of semantic argument classification, there are some features that would degrade the performance classification if they are not combined with the right features. Based on the average of all scenarios, the best combination is the combination with the use of five additional features used in this study with an accuracy of 75.3% and F-score of 74.6%. The addition of training data can also improve the performance of the classification.
SODIUM AND POTASSIUM B I N D I N G BY RAT LIVER

The effects of ion concentration, pH, and presence of competing ions on the sodium and potassium binding properties of rat liver cell microsomes were studied. Typical adsorption isotherms were obtained in the concentration dependence studies, with saturation being reached when 1.2 to 1.4 m.eq. cations were retained per gin. of microsome Kjeldahl nitrogen. The retention was shown to be due to a binding to specific sites rather than to a trapping of the cations. The binding showed a sharp pH dependence in the range 6.0 to 7.5. The presence of one cation depressed the binding of the other, indicating that Na + and K + as well as H + ions compete for the same sites. Potassium was bound slightly more strongly than sodium, while hydrogen was bound about 106 times more strongly than either. Calculations show that the binding follows the simple mass law. Similarities between adsorption by microsomes and adsorption by synthetic cation exchange resins are discussed and compared to some of the characteristics of electrolyte behavior in living systems. A possible ion exchange elution, active cation transport mechanism is suggested, involving the preferential elution of Na ÷ out of the cell by H + ions produced by metabolism.
Generalized multi-cell switched-inductor and switched-capacitor Z-source inverters

High performance voltage and current-source inverters (VSI and CSI) are widely required in various industrial applications such as servo-motor drives, special power supplies, distributed power systems and hybrid electric vehicles. However, the traditional VSI and CSI have been seriously restricted due to their narrow obtainable output voltage range, short-through problems caused by misgating and some other theoretical difficulties due to their bridge-type structures. The Z-source inverter was proposed to overcome the problems associated with the traditional inverters, in which the functions of the traditional dc-dc boost converter and the bridge-type inverter have been successfully combined. To further widen the operational range or gain of the Z-source inverter in both the voltage and current type configurations, the generalized switched-inductor and switched-capacitor impedance networks are proposed hereon. Both simulation and experimental testing have been conducted for validating the extra boosting introduced with some representative results captured and presented near the end of the paper.
DMP1 Depletion Decreases Bone Mineralization In Vivo: An FTIR Imaging Analysis

The role of DMP1 in mineralization was analyzed by comparing bone mineral and matrix properties in dmp1‐null female mice to heterozygous and wildtype controls by FTIR imaging spectroscopy. The observed decreased mineral content in dmp1 null mice indicates a key role for dmp1 in bone mineralization. Indirect effects of DMP1 on other systems also determine the KO phenotype.
Three gradients and the perception of flat and curved surfaces.

Researchers of visual perception have long been interested in the perceived slant of a surface and in the gradients that purportedly specify it. Slant is the angle between the line of sight and the tangent to the planar surface at any point, also called the surface normal. Gradients are the sources of information that grade, or change, with visual angle as one looks from one's feet upward to the horizon. The present article explores three gradients--perspective, compression, and density--and the phenomenal impression of flat and curved surfaces. The perspective gradient is measured at right angles to the axis of tilt at any point in the optic array; that is, when looking down a hallway at the tiles of a floor receding in the distance, perspective is measured by the x-axis width of each tile projected on the image plane orthogonal to the line of sight. The compression gradient is the ratio of y/x axis measures on the projected plane. The density gradient is measured by the number of tiles per unit solid visual angle. For flat surfaces and many others, perspective and compression gradients decrease with distance, and the density gradient increases. We discuss the manner in which these gradients change for various types of surfaces. Each gradient is founded on a different assumption about textures on the surfaces around us. In Experiment 1, viewers assessed the three-dimensional character of projections of flat and curved surfaces receding in the distance. They made pairwise judgments of preference and of dissimilarity among eight stimuli in each of four sets. The presence of each gradient was manipulated orthogonally such that each stimulus had zero, one, two, or three gradients appropriate for either a flat surface or a curved surface. Judgments were made were made for surfaces with both regularly shaped and irregularly shaped textures scattered on them. All viewer assessment were then scaled in one dimension. Multiple correlation and regression on the scale values revealed that greater than 98% of the variance in scale values was accounted for by the gradients. For the flat surfaces a mean of 65% of the variance was accounted for by the perspective gradient, 28% by the density gradient, and 6% by the compression gradient. For curved surfaces, on the other hand, a mean of 96% of the variance was accounted for by the compression gradient, and less than 2% by either the perspective gradient or the density gradient. (ABSTRACT TRUNCATED AT 400 WORDS)
On distributed optimization using generalized gossip

This paper presents a generalized gossip-based algorithm to solve distributed optimization problems in multi-agent networks, especially for multiple supply-demand optimization problems. The proposed algorithm provides a generalization such that the optimization process can operate in the entire spectrum of “complete consensus” to “complete disagreement”. A user-defined control parameter θ is identified for controlling such tradeoff as well as the temporal convergence properties. Analytical results for first moment convergence analysis are presented and it is shown that with θ → 0, the formulation boils down to a classical consensus based protocol. Beyond the control parameter, the agent interaction matrix is also shown to be useful for effectively suppressing large localized uncertainties in subgradient estimation. A practical use case regarding building zone temperature control is presented as a numerical example for validation.
Area Optimization of FIR Filter and its Implementation on FPGA

Digital Signal Processing is omnipresent in the modern world. Filtering is most important operation of Digital Signal Processing. FIR digital filters are widely used in DSP by the virtue of its stability, linear phase, fewer finite precision error and efficient implementation. First Low pass FIR Filter is designed by choosing CSD algorithms and MATLAB FDA Tool is used Coefficients calculation. The CSD numbers has the minimum number of non-zero digits and no consecutive nonzero digits. Now the multipliers in the digital filters are realized with shifters, adders and subtractors. The use of CSD expression can reduce the number of adders and subtractors. To multiply with CSD number only shift and add operations are required. In this paper multiplication with CSD and binary number is simulated and implemented on the Spartan device, the results shows that the area in the terms of number of slices optimized by 80% in CSD algorithm. Index Terms—CSD, FIR filter, FPGA
Two-Level-Granularity Manifold Learning Algorithm for Video Visualization

Visualization of high-dimensional video data is an important problem in computer vision and machine learning. It not only needs to find the low-dimensional intrinsic laws of video set, but also explores the low-dimensional geometric distribution of all frames from videos. This paper presents a new technique called "Two-level-granularity Manifold Learning (TML)" that visualizes high-dimensional video data from two granular levels. Experiments on Cambridge gesture database show that our TML method can obtain better understandable visualization results and has lower time complexity than ISOMAP algorithm.
Perception of risk of vertically acquired HIV infection and acceptability of provider-initiated testing and counseling among adolescents in Zimbabwe.

OBJECTIVES We investigated attitudes toward provider-initiated HIV testing and counseling (PITC) in the suburbs of Harare, Zimbabwe, where late presentation after mother-to-child HIV transmission (MTCT) is a major cause of adolescent mortality. METHODS Adolescents (10-18 years) attending 2 primary clinics were offered PITC. Participants completed a questionnaire investigating acceptability of PITC, and in-depth interviews with 41 adolescents and 30 guardians explored understanding of long-term survival after MTCT. RESULTS Of 506 participants, 16 were known to be HIV-positive; of the remaining 490, only 5 (1%) declined HIV testing. Infected adolescents and their guardians often anticipated a positive result and reported being advised by relatives (but not health workers) to be tested because of chronic illness, especially if parents or siblings had died or were HIV-infected. However, HIV-negative participants were not aware that long-term survival following MTCT could occur. All adolescents felt that HIV diagnosed at their age would be assumed to have been sexually acquired regardless of the true mode of transmission. CONCLUSIONS Including late diagnosis of MTCT in pretest counseling and health educational messages may facilitate PITC for older children and adolescents, especially for those who have not had their sexual debut.
Methods and Measures Development Parents ’ Voices : Assessment Validation Procedure with Parent Partners

The purpose of the present study is to examine the content validity of two assessments measuring children’s social-emotional development. The Child Behavior Checklist (CBCL; Achenbach, 1991) is a frequently used behavior rating scale in Head Start research. Developed by the psychiatric community, the CBCL asks parents to rate the frequencies of internalizing and externalizing behaviors as a measure of social-emotional competence. The Penn Interactive Peer Play Scale – Parent Version (PIPPS-P; Fantuzzo, Mendez, & Tighe, 1998) focuses on assessing children’s social-emotional development in the natural context of peer play. This behavior rating scale was developed by Head Start parents and teachers in partnership with university researchers and has been used in several studies involving Head Start children and families. This study seeks to examine the content validity of behavior items across these two measures by using a mixed methods approach to focus on the following questions:
Assessing the impacts of rewind and repeated rewinds on induction motors: is an opportunity for Re-designing the machine being wasted?

This paper describes an extensive induction motor rewind study. The consequent effects during the rewind process on loss components and efficiency are investigated. All the tests are conducted in accordance with the IEEE 112-B method, and some results are justified by the calorimetric approach. The conclusions drawn from the study show a little impact of rewinding or repeated rewinding on the motor losses and efficiency if "good practice" is followed strictly. The efficiency results presented for most rewind studies apply for the full load condition. Changes in the balance between the load-independent losses and the load losses resulting from rewinding can, however, cause the maximum efficiency point to occur at a load, which differs from that of the original design. This may or may not be a disadvantage. Since few motors actually operate continuously at a full load, the comparisons of efficiency should really be made at the load point that applies specifically to the individual motor being rewound. The question that then arises is whether, there is a chance of improving the energy efficiency by modifying the motor design during rewinding, so that, a maximum efficiency occurs at the actual load point of the motor when used for its particular application
Patterns of physiological stress response and family climate of stress in children attending Head Start

The repeated activation of physiological stress systems in response to the chronic stress associated with poverty in early childhood signals environmental instability, leading to changes in patterns of physiological response that appear to prepare children for future stress. Consistent with an ecological model, poverty creates environmental instability across children's developmental contexts. Families differ in their psychological distress in response to poverty related stressors. Such differences in response (reflective of parental psychological wellbeing) may intensify or buffer the child's perception of environmental instability. This dissertation study tested the hypothesis that children show distinct profiles of physiological response (Sympathetic Nervous System and Hypothalamic Pituitary Adrenal axis activity) when challenged with a socially evaluative stressor using a sample of 156 children attending a Head Start preschool program. Latent profile analysis results confirmed the existence of 4 distinct profiles: Multisystem Responder, Low sAA Activity, Heightened sAA Responder, and Moderate sAA Responder. Multinomial regression analyses suggested family level stressors (parenting stress, poverty-related stressors, and their interaction) predicted profile group membership, in addition to caregiver employment status and gender. Results and implications for research and intervention are further discussed.
A Trust-Based Service Evaluation and Selection Model in Pervasive Computing Environment

In pervasive computing, service evaluation and selection play an important role due to its high dynamics, complex context and catholicity characters. An effective model helps evaluating and thus selecting service efficiently. Using trust behavior experience in human society and the law of gravity in real word, this paper introduced a new concept of trust gravitation to analyze the trust relationship between pervasive interaction entities. We then built a sound system in terms of a service evaluation and selection model based on trust gravitation. The system was tested to improve the efficiency and veracity of service evaluation and selection. Experiment results show that pervasive entities can select optimum network services in time with the help of this model
Feature logics and refinement

We present an institution of feature logics which generalises our earlier approach (2001) and define a refinement theory to deal with the complexity of feature interactions in this generic framework, which is one of the main problems encountered when dealing with feature interaction detection. The study of interactions through implementation techniques is still an open problem. The authors furnish answers to encounter this purpose in a logic-independent framework, using algebraic refinement techniques.
Challenges on the Journey to Co-Watching YouTube

In order to better understand social aspects of the short-form video watching experience, we investigated the journey to co-watching, from searching and discovering content, to choosing and experiencing videos with others. After identifying, through a large-scale survey, some of the most typical situations that bring people to YouTube, we deployed a one week-long diary study with 12 participants in which they performed a set of frequent video tasks at their leisure, half by themselves, and half with someone else. Following the diary study, we had participants reenact the diary study tasks remotely with the experimenter. We observed that users face multiple challenges on the journey to co-watching a video. They must share a device designed for an individual, use different methods for selecting videos than when by themselves, negotiate or turn-take in order to make a decision, and potentially watch a video that they do not enjoy. Along this journey, users must engage in impression management to consider how their choices might make them appear to others. We present design recommendations for remote and collocated co-watching to improve the social video watching experience.
A Real Time Visual Compass

This demo showcases new results in real-time orientation estimation for a hand-held camera in a previously unknown environment. When the scene viewed by the camera is distant relative to the scale of any translation (as would be particularly well satisfied in a large room or outdoors), features detected can be assumed to lie at infinity and placed into a map of bearing references. Acquiring and tracking such a feature set over a full spherical field of fiew and in real-time, we turn a hand-held camera connected to a standard laptop into a 3-axis visual compass operating at 30Hz. The new feature of our approach is to treat the problem of estimating the orientation of a rotating camera and the directions of a set of features as a case of probabilistic simultaneous localisation and mapping (SLAM) in pure directional space. The result is correct representation and propagation of the uncertainties in the system, taking account of cross-correlations in feature locations, and repeatable rotation estimation as a stable long-term map of feature directions is built. The visual compass does not suffer drift over time, even over many full rotations over the viewsphere, because features not viewed for long periods of time can be re-observed and errors corrected. This technology has many potential applications in wearable computing, augmented reality, mobile robotics, and mosaicing.
Review Article Transforming Growth Factor-beta and Urokinase-type Plasminogen Activator: Dangerous Partners in Tumorigenesis—implications in Skin Cancer

Transforming growth factor-beta (TGF-í µí»½) is a pleiotropic factor, with several different roles in health and disease. TGF-í µí»½ has been postulated as a dual factor in tumor progression, since it represses epithelial tumor development in early stages, whereas it stimulates tumor progression in advanced stages. During tumorigenesis, cancer cells acquire the capacity to migrate and invade surrounding tissues and to metastasize different organs. The urokinase-type plasminogen activator (uPA) system, comprising uPA, the uPA cell surface receptor, and plasminogen-plasmin, is involved in the proteolytic degradation of the extracellular matrix and regulates key cellular events by activating intracellular signal pathways, which together allow cancer cells to survive, thus, enhancing cell malignance during tumor progression. Due to their importance, uPA and its receptor are tightly transcriptionally regulated in normal development, but are deregulated in cancer, when their activity and expression are related to further development of cancer. TGF-í µí»½ regulates uPA expression in cancer cells, while uPA, by plasminogen activation, may activate the secreted latent TGF-í µí»½, thus, producing a pernicious cycle which contributes to the enhancement of tumor progression. Here we review the specific roles and the interplay between TGF-í µí»½ and uPA system in cancer cells and their implication in skin cancer.
Designing Low Power Wireless SensorNetworks: A Brief Survey

In wireless sensor networks (WSN), the nodes are low powered devices and hence designing a low power WSN is highly important for getting longer lifetime. In this paper, we have discussed several aspects of design and operations of low power WSN. We have reviewed and critically analysed different design issues such as dynamic power management, ultra-low power node design, duty cycle assignment and medium access control.
Speaker clustered regression-class trees for MLLR adaptation

A speaker clustering algorithm is presented that is based on an eigenspace representation of Maximum Likelihood Linear Regression (MLLR) transformations and is used for training cluster-dependent regression-class trees for MLLR adaptation. It is shown that significant automatic speech recognition (ASR) system performance gains are possible by choosing the best regression-class tree structure for individual speakers. To take advantage of the potential gains, an algorithm for combining the MLLR mean transformations from cluster-specific trees is described that effectively results in a soft regression-class tree. In conversational speech recognition, only small overall improvements are obtained, but the number of speakers that have performance degradation due to adaptation is reduced by over 70%.
A Metamorphic 220-320 GHz HEMT Amplifier MMIC

In this paper, we present the development of a compact H-band (220-325 GHz) submillimeter-wave monolithic integrated circuit (S-MMIC) amplifier for use in next generation active and passive high-resolution imaging systems. The low- noise amplifier (LNA) circuit has been realized using an advanced 35 nm InAlAs/InGaAs based metamorphic high electron mobility transistor (mHEMT) technology and achieves a small-signal gain of 13.5 dB at 300 GHz and a linear gain of more than 10.5 dB over the bandwidth from 220 to 320 GHz. The use of grounded coplanar waveguide (GCPW) topology in combination with cascode transistors resulted in a very compact die size of only 0.43 times 0.82 mm2.