Miracle-dz/UniFAR-FTUs huggingface dataset:
Mapping of Protein-Protein Interaction Sites in the Plant-Type [2Fe-2S] Ferredoxin

Knowing the manner of protein-protein interactions is vital for understanding biological events. The plant-type [2Fe-2S] ferredoxin (Fd), a well-known small iron-sulfur protein with low redox potential, partitions electrons to a variety of Fd-dependent enzymes via specific protein-protein interactions. Here we have refined the crystal structure of a recombinant plant-type Fd I from the blue green alga Aphanothece sacrum (AsFd-I) at 1.46 Å resolution on the basis of the synchrotron radiation data. Incorporating the revised amino-acid sequence, our analysis corrects the 3D structure previously reported; we identified the short α-helix (67-71) near the active center, which is conserved in other plant-type [2Fe-2S] Fds. Although the 3D structures of the four molecules in the asymmetric unit are similar to each other, detailed comparison of the four structures revealed the segments whose conformations are variable. Structural comparison between the Fds from different sources showed that the distribution of the variable segments in AsFd-I is highly conserved in other Fds, suggesting the presence of intrinsically flexible regions in the plant-type [2Fe-2S] Fd. A few structures of the complexes with Fd-dependent enzymes clearly demonstrate that the protein-protein interactions are achieved through these variable regions in Fd. The results described here will provide a guide for interpreting the biochemical and mutational studies that aim at the manner of interactions with Fd-dependent enzymes.
Management of Postmenopausal Osteoporosis

Abstract Postmenopausal osteoporosis is associated with significant morbidity, mortality, reduction in quality of life, and increasing health care costs. It is estimated that 1.5 million women in the United States have one or more osteoporosis-related fractures annually. Fractures may occur at any site, but vertebral fractures are the most common. Longitudinal studies have demonstrated a decreased life expectancy associated with both vertebral and nonvertebral fractures. Once an initial fracture occurs, there is a fivefold increased risk of a second fracture within 1 year. The management of osteoporosis today incorporates multiple modalities of therapy. In addition to early detection, patient education, exercise, and nutritional supplementation, multiple therapeutic agents should be implemented early in an attempt to prevent initial and subsequent fractures. This article reviews currently approved modalities of therapy for the prevention and treatment of postmenopausal osteoporosis.
Hand-eye autocalibration of camera positions on vehicles

This paper introduces an approach to extrinsic autocalibration of vehicle mounted cameras for Bird's Eye View applications. We extend existing self-calibration methods by estimation of two position parameters while assuming the camera height to be known. The presented algorithm is derived from classic hand-eye calibration and uses independent temporal feature correspondences to introduce constraints on the camera position. An error measure of the constraints' degree of satisfaction is used to formulate the parameter search as a quadratic optimization problem. Temporal accumulation of correspondences over time improves robustness to potentially sparse interest points and pitch or roll movements of the vehicle.
Process Variation and Voltage Scaling Optimization Techniques for Processing Signals Using Multirate

A Paper presents new scaling techniques of multirate digital signal processing system. It has been done with 0.45 nm synopsis tool and AMI 0.6 um and TSMC 0.25 um technology at different voltages. All basic Multirate modules are design using Active-HDL and QUARTUS-II platform then it is synthesized on FPGA Alter a DE-1 kit. For the optimization of coefficient transistor level circuits are design then it is simulated and synthesized on cadence platform. The circuit design is verified and implemented successfully for low power and high speed. The proposed methodology provides systematic techniques for high speed operation at a low power supply. Authors have design and implemented multirate modules up sampler, down sampler, interpolator and decimator which has given full custom design with different circuit topology and optimization level. The observations of parameters area, power and speed are taken at different voltages and technology. Finally, design and implementation of the modules are verified and report is presented.
Ieee Computer Graphics and Applications 35 Automatic Emotion Recognition Based on Body Movement Analysis a Survey Some Application Areas Brain Activity Physiological Signals Muscle Activity Touch Behavior Emerging Emotion Recognition Modalities Ieee Computer Graphics and Applications Models of Emoti

R ecent scientific findings indicate that emotions are essential in decision making, perception , and learning; hence, they influence the mechanisms of rational thinking. Emotional imbalance can impair decision making. According to Rosalind Picard, if we want computers to be genuinely intelligent and interact naturally with us, we must give them the ability to recognize, understand , and express emotions. 1 Nevertheless, despite the significance of user affect in computing, technologists have largely ignored emotion, often resulting in frustrating experiences for users. Affective computing is the study and development of systems and devices that recognize, interpret , process, and simulate human affect. This research combines engineering and computer science with psychology, cognitive science, neuro-science, sociology, education, psychophysiology, value-centered design, ethics, and more. Detecting emotional information begins with active or passive sensors that capture data of the user's physical state or behavior without interpreting the input. The gathered data is analogous to the cues humans use to perceive emotions in others. For example, a video camera might capture facial expressions, body posture, and gestures, whereas a microphone captures speech. Other sensors detect emotional cues by measuring physiological data, such as skin temperature and galvanic resistance. Researchers have successfully explored some of these modalities, and new modalities are arising. (For a look at some of them, see the sidebar.) One promising modality that's receiving research-ers' attention is body posture and movement. Two recent surveys have covered in depth the issues regarding human perception , automatic recognition, and the generation of affect through body expressions. 2,3 This article provides an overview of some of these issues and raises others we consider important. Various application areas can benefit from emotion recognition based on body movement. Intelligent tutoring systems can use it to adapt the presentation style when a learner is bored, interested , or frustrated or to detect student motivation. One of the most expressive modalities for humans is body posture and movement, which researchers have recently started exploiting to perform emotion recognition. Automatic emotion recognition is becoming increasingly important in areas such as healthcare and gaming. However, such recognition based on body movement analysis poses challenges. To do this, the system monitors the user's upper body poses, estimating the level of interest and engagement on the basis of the theory of mind. This theory emphasizes the principles and techniques humans deploy to understand, predict, and manipulate other humans' behavior. In games, players' affective …
Does Partners’ Negative-Direct Communication During Conflict Help Sustain Perceived Commitment and Relationship Quality Across Time?

The current study tested when partners’ negative-direct communication promotes perceived commitment and helps preserve relationship quality and when partners’ negative-direct communication damages perceived commitment and relationship quality. Negative-direct communication was assessed within 322 relationship conflict discussions involving one partner (the agent) wanting change in the other (the target). Perceived commitment and relationship quality were repeatedly assessed across the following year. Greater negative-direct communication by partners as agents of change predicted more positive trajectories of perceived partner commitment and relationship quality across time, whereas greater negative-direct communication by partners targeted for change predicted declines in perceived commitment and relationship quality. These longitudinal effects were magnified for people who initially perceived their partner’s commitment to be low. Thus, partners’ negative-direct communication can help sustain relationship quality when it offers a needed sign of partners’ commitment but has detrimental effects when partners’ negative-direct communication reflects low responsiveness to attempts to improve relationship problems.
Hierarchical beamforming for large one-dimensional wireless networks

We consider a wireless network with a large number of source-destination pairs distributed over a line. Under line-of-sight propagation, this network has only one degree of freedom for communication. At high SNR, this one degree of freedom can be readily achieved by multi-hop relaying between nodes. At low SNR, however, the performance is determined by the power transfer in the network. We show that none of the existing architectures can achieve optimal capacity scaling. We develop a digital hierarchical beamforming architecture and show that it is scaling optimal. This result reveals a new regime for large wireless networks, where beamforming techniques are needed to achieve capacity.
Proficiency Testing from a Total Quality Management Perspective

Public concern over increasing health-care costs plus dramatized testing errors, has resulted in CLIA ‘88 with its more stringent rules governing laboratory performance. The purpose of the 1990 U.S. Health Care Financing Administration Final Rules for Proficiency Tests is to separate the quality laboratory from the poorly performing one. From the perspective of total quality management, the customer (patient) defines quality as virtually errorfree test results. The current proficiency testing format defeats this. Its effective purpose is not to identifyquality laboratories but to shut down the most prolific laboratories-regardless of their quality. There are two reasons for this. First, the proficiencytesting format is incomplete: it is missing a minimum frequency criterion. Second, the data for determining the quality of a laboratory’s performance (the degree of error-free results) are not being used. I propose a solution based on continuous improvement that promotes voluntansm, favors the quality laboratory, and reduces federal regulation.
“Fuzzy association rule mining based frequent pattern extraction from uncertain data”

Frequent pattern mining is one of the most important research topics for many real life applications in the area of data mining. Frequent item set originates from association rule mining that uses to find association rules of items in large transactional database. Many existing algorithm to mine for the frequent itemset from static transaction database that is definite known and precise. In this paper we conducted a study on uncertain data and fuzzy association rule mining approach. The main contribution of this paper is three manifolds. First we presented a review on existing method for finding frequent patterns form uncertain data. Second a new approach is proposed for finding frequent patterns from uncertain data, and third, the experiments are carried out to evaluate the performance of proposed approach for uncertain data. In this approach we have used fuzzy concept and originate the frequent patterns. The experimental results from the survey demonstrate that this proposed approach for valuable frequent pattern set the influential uncertain data mining.
Implementing an Efficient SAT Solver for a Probabilistic Description Logic

This paper presents an optimized algorithm for solving the satisfiability problem (PSAT) in the probabilistic description logic P-SROIQ. In P-SROIQ and related Nilsson-style probabilistic logics the PSAT problem is typically solved by reduction to linear programming. This straightforward approach does not scale well because the number of variables in linear programs grows exponentially with the number of probabilistic statements. In this paper we demonstrate an algorithm to cope with this problem which is based on column generation. Although column generation approaches to PSAT have been known for the last two decades, this is, to the best of our knowledge, the first algorithm which also works for a non-propositional probabilistic logic. We report results of an empirical investigation which show that the algorithm can handle probabilistic knowledge bases of about 1000 probabilistic statements in addition to even larger number of classical SROIQ axioms.
Nonparametric Reduced-Rank Regression for Multi-SNP, Multi-Trait Association Mapping

Genome-wide association studies have proven to be essential for understanding the genetic basis of disease. However, many complex traits---personality traits, facial features, disease subtyping---are inherently high-dimensional, impeding simple approaches to association mapping. We developed a nonparametric Bayesian reduced rank regression model for multi-SNP, multi-trait association mapping that does not require the rank of the linear subspace to be specified. We show in simulations and real data that our model shares strength over SNPs and over correlated traits, improving statistical power to identify genetic associations with an interpretable, SNP-supervised low-dimensional linear projection of the high-dimensional phenotype. On the HapMap phase 3 gene expression QTL study data, we identify pleiotropic expression QTLs that classical univariate tests are underpowered to find and that two step approaches cannot recover. Our Python software, BERRRI, is publicly available at GitHub: this https URL
Why the phosphorus retention of lakes does not necessarily depend on the oxygen supply to their sediment surface

In order to improve the trophic state of Lake Sempach, a eutrophied lake in central Switzerland, its external phosphorus (P) load has been decreased and its hypolimnion has been artificially oxygenated to lower the lake‐internal P recycling. Based on more than 15 yr of experience, we conclude that the reduction of the external P load resulted in a corresponding decrease of the lake’s P concentration. However, contrary to initial expectations, increased hypolimnetic dissolved oxygen concentrations neither (1) reduced the P release from sediments during summer nor (2) resulted in anincreased permanent P retention. These observations warrant a reevaluation of the well‐accepted management strategy of decreasing the lake internal P cycling by maintaining an aerobic hypolimnion and sediment surface. We hypothesize that oxygenation only results in an increased permanent benthic P burial if, because of the depressed sulfide production, more ferrous phosphate (e.g., vivianite) and less FeS is deposited in the anoxic sediment. Hence, it is not the oxic sediment surface that directly affects the permanent redox‐dependent sediment P retention but the molar ratio of the available reactive Fe(II) : S2‐ : PO4 in the anoxic sediment. This ratio is driven by the settling rate and the nature of organic matter and particulate iron, as well as the supply of oxygen, nitrate, and sulfate to the sediment.
INTERACTIONS BETWEEN INTONATION ANDCHARACTERISTICS OF THE GLOTTAL

This paper explores whether a speaker's voice quality , deened as the perceived timbre of his or her speech, changes as a function of variation in pitch range. Analyses are based on several productions of the voweìa', provided with diierent intonation patterns. It appears that fundamental frequency covaries to some extent with the strength relationship between the rst two harmonics, which is often claimed to re-ect open quotient. However, correlating the H1-H2 measure to parameters of the LF-model reveals that both the open quotient and the skewness of the glot-tal pulse have an impact on the lower part of the harmonic spectrum.
FPGA Clock Management for Low Power

Clock management circuits are relatively new FPGA architectural blocks that are critical to solving clock distribution problems associated with high-speed, high-density designs. We outline the use of three FPGA clock managers in a variety of applications, and consider their application to low-power systems which adjust clock rates based on the amount of computation needed. Dynamic clock management design problems are examined and common solutions are outlined. We propose the use of a dynamic programmable clock divider in conjunction with FPGA clock managers. An example application is also described.
A sketch-based 3D model retrieval system

In this paper, we propose a 3D model retrieval system using sketch queries. The 3D model is described by a single characteristic view with the biggest exposure opportunity. The sketch query and the characteristic view are divided into several parts. Each part is quantized into a Fourier descriptor, and the spatial arrangements of these parts are measured by the graph spectra. Our contributions are as follows: (1) We propose a new characteristic view, namely, the Biggest Exposure Opportunity View (BEOV) to represent a 3D model; (2) The details inside the sketch query and the BEOV are considered. Experiments were evaluated using the Princeton shape benchmark data sets. Our approach improves the retrieval precision and reduces the computational cost when compared with the National Taiwan University (NTU) 3D model search engine [1].
Traffic Flow Confidentiality in a Future Network Enabled Capability Environment

This paper looks at how traffic flow confidentiality becomes more difficult to achieve as the requirement for modern, flexible networks forces confidentiality protection closer to the edge of the network. Information available at different layers of the OSI stack is presented, as well as current and possible future countermeasures. The military implications will be illustrated by a scenario using friendly force tracing. The paper concludes with the fact that encryption above the link layer reveals traffic flow that might be utilized by an adversary. Object level encryption additionally opens up for more advanced analysis, and better solutions for traffic flow confidentiality protection should be found.
Broadband solid cloak for underwater acoustics

Application of transformation theory to underwater acoustics has been a challenging task because highly anisotropic density is unachievable in water. A possible strategy is to exploit anisotropic modulus rather than density, while has not been experimentally demonstrated. We present an annular underwater acoustic cloak designed from particular graded solid microstructures. The geometry tailored microstructures mimics meta-fluid with highly anisotropic modulus through substantially suppressed shear wave. Transient wave experiments are conducted with the cloak in a designed 2D underwater waveguide system and proved excellent cloaking performance for enclosed target over broadband frequency 9-15 kHz. This finding paves the way for controlling underwater acoustics using the structured anisotropic modulus meta-fluid.
Performance Investigations with Antipodal Linear Tapered Slot Antenna on 60 GHz Radio Link in a Narrow Hallway Environment

The performance of wireless communication systems is predominantly dependent on propagation environment and respective radiating antennas. Due to the shorter wavelength at Millimeter Wave (MmW) frequencies, the propagation loss through surroundings in indoor environments is typically very high. To improve the channel capacity and to reduce inter-user interference, a high gain directional antenna is desired at MmW frequencies. Traditional antennas used in MmW devices are not suitable for low-cost commercial devices due to their heavy, bulky and expensive configurations. This paper focuses on design and development of a very compact (44.61 mm × 9.93 mm × 0.381 mm) high gain Antipodal Linear Tapered Slot Antenna (ALTSA) utilizing Substrate Integrated Waveguide (SIW) technology at 60 GHz. Received signal strength (RSS), path loss (PL) and capacity are studied for MmW based wireless applications utilizing electromagnetic (EM) computations and Radio Frequency (RF) experiments in narrow hallway environment.
Phosphorylation of S1505 in the cardiac Na+ channel inactivation gate is required for modulation by protein kinase C

Inactivation of both brain and cardiac Na+ channels is modulated by activation of protein kinase C (PKC) but in different ways. Previous experiments had shown that phosphorylation of serine 1506 in the highly conserved loop connecting homologous domains III and IV (LIII/IV) of the brain Na+ channel alpha subunit is necessary for all effects of PKC. Here we examine the importance of the analogous serine for the different modulation of the rH1 cardiac Na+ channel. Serine 1505 of rH1 was mutated to alanine to prevent its phosphorylation, and the resulting mutant channel was expressed in 1610 cells. Electrophysiological properties of these mutant channels were indistinguishable from those of wild-type (WT) rH1 channels. Activation of PKC with 1-oleoyl-2-acetyl-sn-glycerol (OAG) reduced WT Na+ current by 49.3 +/- 4.2% (P < 0.01) but S1505A mutant current was reduced by only 8.5 +/- 5.4% (P = 0.29) when the holding potential was -94 mV. PKC activation also caused a -17-mV shift in the voltage dependence of steady-state inactivation of the WT channel which was abolished in the mutant. Thus, phosphorylation of serine 1505 is required for both the negative shift in the inactivation curve and the reduction in Na+ current by PKC. Phosphorylation of S1505/1506 has common and divergent effects in brain and cardiac Na+ channels. In both brain and cardiac Na+ channels, phosphorylation of this site by PKC is required for reduction of peak Na+ current. However, phosphorylation of S1506 in brain Na+ channels slows and destabilizes inactivation of the open channel. Phosphorylation of S1505 in cardiac, but not S1506 in brain, Na+ channels causes a negative shift in the inactivation curve, indicating that it stabilizes inactivation from closed states. Since LIII/IV containing S1505/S1506 is completely conserved, interaction of the phosphorylated serine with other regions of the channel must differ in the two channel types.
To compare or not to compare: making entity resolution more efficient

Blocking methods are crucial for making the inherently quadratic task of Entity Resolution more efficient. The blocking methods proposed in the literature rely on the homogeneity of data and the availability of binding schema information; thus, they are inapplicable to the voluminous, noisy, and highly heterogeneous data of the Web 2.0 user-generated content. To deal with such data, attribute-agnostic blocking has been recently introduced, following a two-fold strategy: the first layer places entities into overlapping blocks in order to achieve high effectiveness, while the second layer reduces the number of unnecessary comparisons in order to enhance efficiency. In this paper, we present a set of techniques that can be plugged into the second strategy layer of attribute-agnostic blocking to further improve its efficiency. We introduce a technique that eliminates redundant comparisons, and, based on this, we incorporate an approximate method for pruning comparisons that are highly likely to involve non-matching entities. We also introduce a novel measure for quantifying the redundancy a blocking method entails and explain how it can be used to a-priori tune the process of comparisons pruning. We apply our blocking techniques on two large, real-world data sets and report results that demonstrate a substantial increase in efficiency at a negligible (if any) cost in effectiveness.