Miracle-dz/UniFAR-FTUs huggingface dataset:
“Newton’s cradle” proton relay with amide–imidic acid tautomerization in inverting cellulase visualized by neutron crystallography

A study of the visualization of proton relay in cellulase by neutron crystallography. Hydrolysis of carbohydrates is a major bioreaction in nature, catalyzed by glycoside hydrolases (GHs). We used neutron diffraction and high-resolution x-ray diffraction analyses to investigate the hydrogen bond network in inverting cellulase PcCel45A, which is an endoglucanase belonging to subfamily C of GH family 45, isolated from the basidiomycete Phanerochaete chrysosporium. Examination of the enzyme and enzyme-ligand structures indicates a key role of multiple tautomerizations of asparagine residues and peptide bonds, which are finally connected to the other catalytic residue via typical side-chain hydrogen bonds, in forming the “Newton’s cradle”–like proton relay pathway of the catalytic cycle. Amide–imidic acid tautomerization of asparagine has not been taken into account in recent molecular dynamics simulations of not only cellulases but also general enzyme catalysis, and it may be necessary to reconsider our interpretation of many enzymatic reactions.
A Probabilistic Active Attack on Server-aided Secret Computation Protocols

SASC (Server-Aided Secret Computation) protocols enable a client (a smart card) to borrow computing power from a server (e.g., an untrustworthy auxiliary device like an ATM) without revealing its secret information. In this paper, we propose a new active attack on server-aided secret computation protocols. We describe our attack by using Beguin and Quisquater’s protocol. (We modify the protocol in order to immunize it against Nguyen and Stern’s lattice reduction attack.) The proposed attack reduces the search space P to
EMG-moment model of human arm for rehabilitation robot system

In order to make haptic feedback in teleoperation rehabilitation robot system or to assist the object's movement, recognition the intended movement of an object is required. In this paper, we establish the relation between the electromyography (EMG) signal of some specified hu.man arm's muscles and the moment of corresponding arm's joints. The model and the parameter calibration process are simple to put in to practice. Experiments showed that by using the proposed EMG-moment model, it is possible to predict the moment of the shoulder and elbow joints from the processed EMG signals of specified muscles.
A fast iterative shrinkage-thresholding algorithm for electrical resistance tomography

Image reconstruction in Electrical Resistance Tomography (ERT) is an ill-posed nonlinear inverse problem. Considering the influence of the sparse measurement data on the quality of the reconstructed image, the l1 regularized least-squares program (l1 regularized LSP), which can be cast as a second order cone programming problem, is introduced to solve the inverse problem in this paper. A normally used method of implementing the l1 regularized LSP is based on the interior point method whose main drawback is the relatively slow convergence speed. To meet the need of high speed in ERT, the fast iterative shrinkage-thresholding algorithm (FISTA) is employed for image reconstruction in our work. Simulation results of the FISTA and l1_ls algorithm show that the l1 regularized LSP is superior to the l2 regularization method, especially in avoiding the over-smoothing of the reconstructed image. In addition, to improve the convergence speed and imaging quality in FISTA algorithm, the initial guess is calculated with the conjugate gradient method. Comparative simulation results demonstrate the feasibility of FISTA in ERT system and its advantage over the l1_ls regularization method.
Probing new physics in rare charm processes 1

We explore the sensitivity of the flavour changing neutral currents among c and u quarks in the context of the Minimal Supersymmetric Standard Model. The standard model rate for c → uγ can be enhanced by up to two orders of magnitudes in general MSSM, while the c → ul + l − rate can be enhanced by at most a factor of three. The most suitable hadronic observable to probe the c → uγ transition is the decay B c → B * u γ or the difference in decay rates of D 0 → ρ 0 γ and D 0 → ωγ, since they are relatively free of the long distance contributions. The c → ul + l − transition may be probed in D → πl + l − decays at high high di-lepton mass and we predict the long distance contributions for these modes.
Satellite Attitude Acquisition Using a Neural Network Controller

Neural networks are non-linear functional approximators, and natural candidates to be used in nonlinear systems control. Satellite nominal attitude control dynamics is an example of non-linear system where conventional control has been applied sucessfully since the early space age. However, conventional control like the PD (proportional and derivative of the error) can only guarantee robustness to work in a small region around the reference or nominal attitude. This certaninly is not the case of an attitude acquisition, where large maneuvers are commanded autonomously in order to point the satellite close to a nominal attitude. Searching for a solution that overcomes this limitation, in this work it is investigated the possibility of performing satellite attitude acquisition control by means of an artificial neural net. It is employed the feedback error learning method in order to train the network with the inverse dynamics. A simulated example of an attitude acquisition of a satellite with deploying solar arrays is presented.
Sentiment analysis in a hybrid hierarchical classification process

As more and more reviews are generated online, sentiment analysis has been widely studied and developed both in academia and industry recently. In this paper, we propose a novel approach to tackle two complementary sub-tasks of sentiment analysis on review texts, i.e., the Attribute Detection (AD) task and the Sentiment Orientation (SO) task, in a Hybrid Hierarchical Classification Process (HHCP). Specifically, the HHCP approach employs a linear Fisher classifier to achieve the AD task in an ontology-based hierarchical classification process. As evidences show that common statistical classifiers that have superior performances on semantic classifications do not necessarily work well on classifying sentiment information, we did not continue to use the linear Fisher classifier in the SO task. Instead, we turn to a rule-based heuristic classification method on performing sentiment orientation for attributes identified from the AD task. The proposed HHCP approach is empirically analyzed in extensive experiments. Experiments conducted for performance comparison not only show that our proposed HHCP approach outperforms the other three baseline methods, but also address all the concerns raised before experiments. Further experiments on analyzing the impact of dimensionality d of the input vector space confirm that the conclusions drawn from performance comparison hold very well as d varies. Experiments of studying computational efficiency demonstrate that compared with the existing HL-SOT approach our proposed HHCP approach is more efficient in computation.
Sequential Development of Electrical and Chemical Synaptic Connections Generates a Specific Behavioral Circuit in the Leech

Neuronal circuits form during embryonic life, even before synapses are completely mature. Developmental changes can be quantitative (e.g., connections become stronger and more reliable) or qualitative (e.g., synapses form, are lost, or switch from electrical to chemical or from excitatory to inhibitory). To explore how these synaptic events contribute to behavioral circuits, we have studied the formation of a circuit that produces local bending (LB) behavior in leech embryos. This circuit is composed of three layers of neurons: mechanosensory neurons, interneurons, and motor neurons. The only inhibition in this circuit is in the motor neuron layer; it allows the animal to contract on one side while relaxing the opposite side. LB develops in two stages: initially touching the body wall causes circumferential indentation (CI), an embryonic behavior in which contraction takes place around the whole perimeter of the segment touched; one or 2 d later, the same touch elicits adult-like LB. Application of bicuculline methiodide in embryos capable of LB switched the behavior back into CI, indicating that the development of GABAergic connections turns CI into LB. Using voltage-sensitive dyes and electrophysiological recordings, we found that electrical synapses were present early and produced CI. Inhibition appeared later, shaping the circuit that was already connected by electrical synapses and producing the adult behavior, LB.
Selfies in the wild: Studying selfie photography as a local practice

Previous research on selfies has primarily focused on selfies as media products rather than as an activity. In this paper, we examine selfies as a situated practice, connecting the social media phenomenon to the local spaces where it is performed. Based on ethnographic studies of selfie photography, we present and discuss three aspects of selfies in the wild. First, we consider selfies as part of a larger photographic context and show how they are often taken in series with other genres of images. Second, we expand upon the notion of selfies as conversation and show how selfie photographers exchange messages with remote friends and followers while attending to the local environment. Third, we discuss socializing around selfies, examining how copresent friends socialize around the production of selfies. These findings show the importance of considering selfies beyond the online context, and highlight the many ways that selfies are interweaved with our everyday activities.
Systematically Varying Consumer Satisfaction and its Implications for Product Choice

Shaun McQuitty is an Assistant Professor in the Department of Marketing at New Mexico State University, Adam Finn is the Ronald K. Banister Professor of Marketing in the Department of Marketing, Business Economics, and Law at the University of Alberta, and, James B. Wiley is Professor of Marketing Science at the Victoria University of Wellington. All correspondence should be addressed to Shaun McQuitty, Department of Marketing / MSC 5280, College of Business Administration and Economics, New Mexico State University, P.O. Box 30001, Las Cruces, New Mexico, 88003-8001. Phone (505) 646-1463. Fax (505) 646-1498. email: mcquitty@nmsu.edu. The authors would like to thank Mike Hyman, the editor, and three anonymous reviewers for their valuable comments regarding earlier drafts of this article.
Compiler-assisted Hybrid Operand Communication

Communication of operands among in-flight instructions can be power intensive, especially in superscalar processors where all result tags are broadcast to a small number of consumers through a multi-entry CAM. Token-based point-to-point communication of operands in dataflow architectures is highly efficient when each produced token has only one consumer, but inefficient when there are many consumers due to the construction of software fanout trees. Placing operands in registers is efficient for broadcasting the values which have consumers spread over a long lifetime, but inefficient for shorter-lived operations. This paper evaluates a compilerassisted hybrid instruction communication model that combine tokens instruction communication with statically assigned broadcast tags. Each fixed-size block of code is given a small number of architectural broadcast identifiers, which the compiler can assign to producers that have many consumers. Producers with few consumers rely on point-to-point communication through tokens. Producers whose result is live past the instruction block communicate with distant consumers through a register. Selecting the mechanism statically by the compiler relieves the hardware from categorizing instructions at runtime. At the same time, a compiler can categorize instructions better than dynamic selection does because the compiler analyzes a larger range of instructions. Furthermore, compiler could perform complex optimizations without hardware cost and execution-time penalty. We propose a compiler optimization to reuse broadcast tags for instructions with non-overlapping broadcast live ranges, the speedup is further improved without spending more power . The results show that this compiler-assisted hybrid token/broadcast model requires only eight architectural broadcasts per block, enabling highly efficient CAMs. This hybrid model reduces instruction communication energy by 28% compared to a strictly token-based dataflow model (and by over 2.7X compared to a hybrid model without compiler support), while simultaneously increasing performance by 8% on average across the SPECINT and EEMBC benchmarks, running as single threads on 16 composed, dual-issue EDGE cores.
Corporate Social Responsibility System (CSRS) Hyper Graph Data Model

To guide the corporation to perform the social responsibility scientifically, and at the same time reach the win-win situation of corporation economic profits and social profits, the author set up the hyper graph data model combined with the hyper graph theory. The aim of setting up the model is to help relevant scholars and people in corporation to better understand the complicated internal relationship in the corporate social responsibility system.
UvA-DARE ( Digital Academic Repository ) Robot companion localization at home and in the office

The abilities of mobile robots depend greatly on the performance of basic skills such as vision and localization. Although great progress has been made to explore and map extensive public areas with large holonomic robots on wheels, less attention is paid on the localization of a small robot companion in a confined environment as a room in office or at home. In this article, a localization algorithm for the popular Sony entertainment robot Aibo inside a room is worked out. This algorithm can provide localization information based on the natural appearance of the walls of the room. The algorithm starts making a scan of the surroundings by turning the head and the body of the robot on a certain spot. The robot learns the appearance of the surroundings at that spot by storing color transitions at different angles in a panoramic index. The stored panoramic appearance is used to determine the orientation (including a confidence value) relative to the learned spot for other points in the room. When multiple spots are learned, an absolute position estimate can be made. The applicability of this kind of localization is demonstrated in two environments: at home and in an office.
On the design of micro power practical GmC filters for biomedical applications

Transconductor-capacitor or simply GmC filters and amplifiers are an attractive option for the design of biomedical circuits because of their extremely low power consumption. GmC filters for the analog processing of sensed outputs and biomedical signals, can be realized consuming as little as a few tens or hundreds nA current (a negligible power budget for a primary battery). Minimum or no external components are required, but there is always uncertainty in the transfer function of the filter. This paper shows the development of fully integrated GmC filters for medical applications, emphasizing on the variability of their response with technology parameters that may change from an integrated circuit to another or from a fabrication batch to another. GmC filters, amplifiers and rectifiers will be presented. Two examples are discussed: a GmC band pass amplifier for a piezoelectric accelerometer to estimate physical activity and a robust GmC cardiac sensing channel.
Sankey Arcs - Visualizing edge weights in path graphs

Arc diagrams allow exploring relations and their strength between sequential nodes. Previous solutions suffer from displaying all arcs at the center of a node, which can lead to visual obstruction. We present a new technique, which extends the arc diagram technique by laying out the weighted edges of a node adjacent to each other. The aim of our Sankey Arc technique is to improve clarity, to enable users perceiving and comparing weighted edges in path graphs. The technique is illustrated using a dataset on travel paths in a public transit network.
An Optimal Randomised Logarithmic Time Connectivity Algorithm for the EREW PRAM

Improving a long chain of works, we obtain a randomised EREW PRAM algorithm for finding the connected components of a graphG=(V, E) withnvertices andmedges inO(logn) time using an optimal number ofO((m+n)/logn) processors. The result returned by the algorithm is always correct. The probability that the algorithm will not complete inO(logn) time iso(n? c) for anyc>0.
Building and Exploring Marine Oriented Knowledge Graph for ZhouShan Library

Paradigm Shift of Library Industry in China As more and more readers are in favor of accessing digital resources online, most libraries in China are in their way to build or strengthen their digital libraries. Nowadays, there exist several major content providers like WeiPu4, WanFang5, and ChaoXing6 who not only own a large number of digital contents of journals, books, andmagazines, but also run their integrated platforms for search and navigation. Most libraries only act as a consumer or a distributor in the digital content supply chain, which makes them suffer from serious homogenization, lack of content control, and weak competitiveness. The above issues enforce libraries to search for new opportunities. On the other hand, in early 2013, China Ministry of Culture has issued guidelines to build various resource repositories specified for different sectors. It advocated different regions to develop thematic repositories according to the economic and cultural characteristics of the region. ZhouShan Library takes this chance and becomes a pioneer to make the transition. ZhouShan Islands are listed as the first “state-level new district” around marine economy.With the support of local government, ZhouShan Library starts a project named “Universal Knowledge Repository for Marine Digital Library”. The intension is to help inhabitants and travelers know ZhouShan and marine economy, and to support different bureaus of ZhouShan government, such as Fishery Agency or Economic and Information Commission to do queries and statistics about local marine economy. In this way, ZhouShan Library is changing from a content distributor to a content provider of the marine domain. This change also happens to other regional libraries, which leads to a trend of paradigm shift in China’s library industry. TheRole of (Vertical)KnowledgeGraphRegarding the ZhouShan Library project, a marine repository should include fishes, fishing grounds, fish processing methods, related researchers and local enterprises. No single source can cover all aspects of data in the repository. It is also impossible for users to manually integrate knowledge from various sources. In some cases, concepts or facts need to be extracted from semi-structured data (e.g., lists or tables from Web pages) and unstructured data (e.g., documents). In other cases, data from internal database or from LOD are to be extracted, transformed, and loaded to the repository in a unified representation. Moreover, research institutes,
OLTP on a server-grade ARM: power, throughput and latency comparison

Although scaling out of low-power cores is an alternative to power-hungry Intel Xeon processors for reducing the power overheads, they have proven inadequate for complex, non-parallelizable workloads. On the other hand, by the introduction of the 64-bit ARMv8 architecture, traditionally low power ARM processors have become powerful enough to run computationally intensive server-class applications. In this study, we compare a high-performance Intel x86 processor with a commercial implementation of the ARM Cortex-A57. We measure the power used, throughput delivered and latency quantified when running OLTP workloads. Our results show that the ARM processor consumes 3 to 15 times less power than the x86, while penalizing OLTP throughput by a much lower factor (1.7 to 3). As a result, the significant power savings deliver up to 9 times higher energy efficiency. The x86's heavily optimized power-hungry micro-architectural structures contribute to throughput only marginally. As a result, the x86 wastes power when utilization is low, while lightweight ARM processor consumes only as much power as it is utilized, achieving energy proportionality. On the other hand, ARM's quantified latency can be up to 11x higher than x86 towards to the tail of latency distribution, making x86 more suitable for certain type of service-level agreements.
Contextual Stochastic Search

Stochastic search algorithms have recently also gained a lot of attention in operations research, machine learning and policy search of robot motor skills due to their ease of use and their generality. Yet, many stochastic search algorithms require relearning if the task changes slightly to adapt the solution to the new situation or the new context. Therefore we consider the contextual stochastic search setup. Here, we want to find good parameter vectors for multiple related tasks, where each task is described by a continuous context vector. Hence, the objective might change slightly for each parameter vector evaluation. In this research, we investigate the contextual stochastic search algorithms that can learn from multiple tasks simultaneously.
An Aggressive Advocacy Plan: The State Counselor Association Response to Events in Missouri.

The shortage of qualified school counselors in the past few years has been a concern of the Missouri Department of Elementary and Secondary Education (DESE) . Efforts to address this issue were largely contingent on encouraging students to enter counselor-training programs. Recent research pointed to the fact that a large number of counselors were choosing not to go into school counseling. One response was for Missouri to revamp the counselor certification requirements; however, a strong advocacy program seemed to be a better solution. This document explains how a task force made up of the Missouri DESE, counselor educators, and officers of the Missouri School Counselor Association drafted an advocacy plan. The tasks facing this committee were: (1) what audiences should be addressed; (2) how to approach each of these audiences; (3) who would be responsible; and (4) what the time line would be. A copy of this plan is appended. (JDM) Reproductions supplied by EDRS are the best that can be made from the original document. An Aggressive Advocacy Plan: The State Counselor Association Response to Events in Missouri
Application of software reuse concept in case-based reasoning for time tabling problem

This paper demonstrates the application of software reuse concept together with case-based reasoning to solve time-tabling problem. The combination of both concept was induce through the similarity solution pattern which is both revise to previous cases as reference to solve current problem. A brief process flow is explained in this paper to show the possibility of combining case-based reasoning and software reuse to bring a new solution method.
Open Language Grid - Towards a Global Language Service Infrastructure -

To facilitate intercultural collaboration, we designed the language service infrastructure called the Language Grid, which allows users to create language services from existing language resources and combine them to develop multilingual environments adapted to their problem domains. Based on seven years experience in operating the language service infrastructure, this paper proposes the Open Language Grid, which is intended to realize a self-organizing infrastructure, where user groups can easily start their own server to accumulate language services, and to connect their server to other servers in a peer-to-peer fashion. By integrating various language services provided by both academia and industry, users can easily develop a multilingual environment on their mobile devices.