Miracle-dz/UniFAR-FTUs huggingface dataset:
AR and ARMA spectral analysis of suspension system of a commercial city bus

Concerning the increasing demand for intelligent and efficient urban vehicle systems with low cost maintainability and high passenger comfort, reliable methods are needed to model and to evaluate the imposed performances. The measurements, vibrations emerging on the wheels and the body, that has ben taken on a city bus are analyzed in the frequency domain. In this paper a parametric spectral analysis (AR/ARMA method) of the suspension system of a commercial city bus is presented. The goal of the analysis is to find the right structure for the systems. Parametric methods used in this paper justify and extend the results obtained by non-parametric ones and provide more accurate results for vibration analysis. One of the main conclusions of the investigations is that the quarter-car model structure based on first principles does not reflect the true frequency domain behavior of the system. Thus the identification of the physical model must be complemented with a suitable uncertainty modeling and classification.
Adaptive fuzzy control for nonstrict-feedback stochastic nonlinear systems with full-state constraints and unknown dead zone

This article focuses on adaptive fuzzy control for uncertain stochastic nonlinear systems in nonstrict-feedback form accompany with full-state constraints and dead-zone. In order to improve the performance of the system, some barrier Lyapunov functions are introduced to limit the states of the system within desired ranges. By integrating fuzzy logic systems (FLSs) and backstepping approach into this paper, an excellent adaptive fuzzy controller is developed, which can ensure that all variables are meeting the expected results of semi-globally uniform boundedness. Meanwhile, the tracking error can be tend to zero with the adjustment of the parameters online. An example is provided to certify the effectiveness of the proposed method.
General Psychiatric Management for Suicidal Patients, With Remarks on Chronicity: Contending With the Angel of Death

Abstract Assessing, managing, and treating suicidal patients, particularly those with chronic suicidality, challenge clinical decision making and emotional self-management in trainees and seasoned practitioners. Educators and trainees have noted needs for additional teaching materials in these areas. This article assists in addressing these gaps. We reviewed diagnostic and phenomenological characteristics encountered in acutely and chronically suicidal patients, their comprehensive assessment, general approaches to management, risk mitigation and safety planning, and psychological and biological interventions. Integrating information from research and clinical experience–based literature, we offer concise guidance on comprehensive psychiatric management for the varieties of acutely and chronically suicidal patients encountered in practice. By actively engaging suicidal patients and their families, systematically attending to warning signs, conducting risk mitigation and safety planning, and using psychological and biological treatments as indicated, clinicians are likely to reduce suicidal ideation, plans, and attempts in patients and might reduce completed suicides.
Rec4LRW - Scientific Paper Recommender System for Literature Review and Writing

In this paper, we introduce Rec4LRW, a recommender system (RS) for assisting researchers in finding research papers for their literature review and writing purposes. This system focuses on three researcher tasks – (1) Building a reading list of research papers, (2) Finding similar papers based on a set of papers, and (3) Shortlisting papers from the final reading list for inclusion in manuscript based on article type. A set of intermediate criteria are proposed to capture the relations between a research paper and its bibliography. The recommendation techniques for the three tasks in Rec4LRW are specifically devised on top of the intermediate criteria. The Rec4LRW workflow along with the screen designs for the three tasks is provided in this paper. The recommendation techniques in the system will be evaluated with state-of-the-art approaches along with user-based evaluation in subsequent studies.
Master Node Slave Node Internal Network External Network PC Cluster User NodeExternal Network Administration Node Repository Node

In this paper, a new setup/administration tool for PC cluster systems is proposed. Recently, in the high performance computing eld, PC cluster systems are becoming popular. PC cluster systems consist of PCs connected via a network and are used for parallel and distributed computing. PC cluster systems achieve a good cost to performance ratio by using commodity hardware to construct the cluster. However, it is very hard to install and con gure a PC cluster because many nodes exist and a large amount of knowledge is required for the installation and con guration of the cluster. In this paper, to solve this problem, a simple installation and administration tool for PC cluster called \Doshisha Cluster Auto Setup Tool: DCAST" is developed. DCAST has the following features: DCAST can be used for both diskless and diskfull clusters; DCAST is targeted for Linux; there is no interactive operation during the installation; slave nodes are booted over the network; and the whole system is reinstalled when recon guring the system. The targets, philosophy, and operations of DCAST are described.
A Measurement-Based Form of the Out-of-Place Quantum Carry Lookhead Adder

We present the design of a quantum carry-lookahead adder using measurement-based quantum computation. The quantum carry-lookahead adder (QCLA) is faster than a quantum ripple-carry adder; QCLA has logarithmic depth while ripple adders have linear depth. Our design is evaluated in terms of number of time steps and the total number of qubits used.
Random and directed mutagenesis to elucidate the functional importance of helix II and F-989 in the C-terminal secretion signal of Escherichia coli hemolysin

The HlyA secretion signal sequence of approximately 46 residues is predicted to contain helix I and an amphipathic helix II separated by a short loop including the conserved Phe residue, F-989. All nine substitutions of Phe-989 drastically reduce secretion of HlyA. Directed mutagenesis identified a functional hot spot, EISK, in helix II. However, genetic analysis did not provide strong support for a functional helix II; rather, the results emphasized that individual residues, for example, E-978 and F-989, are essential irrespective of a specific secondary structure.
Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach

A multilinear subspace regression model based on so called latent variable decomposition is introduced. Unlike standard regression methods which typically employ matrix (2D) data representations followed by vector subspace transformations, the proposed approach uses tensor subspace transformations to model common latent variables across both the independent and dependent data. The proposed approach aims to maximize the correlation between the so derived latent variables and is shown to be suitable for the prediction of multidimensional dependent data from multidimensional independent data, where for the estimation of the latent variables we introduce an algorithm based on Multilinear Singular Value Decomposition (MSVD) on a specially defined cross-covariance tensor. It is next shown that in this way we are also able to unify the existing Partial Least Squares (PLS) and N-way PLS regression algorithms within the same framework. Simulations on benchmark synthetic data confirm the advantages of the proposed approach, in terms of its predictive ability and robustness, especially for small sample sizes. The potential of the proposed technique is further illustrated on a real world task of the decoding of human intracranial electrocorticogram (ECoG) from a simultaneously recorded scalp electroencephalograph (EEG).
Effect of Tilia × viridis flower extract on the proliferation of a lymphoma cell line and on normal murine lymphocytes: contribution of monoterpenes, especially limonene

Tilia species are widely used in Europe as medicinal plants. The selective antiproliferative activity of a Tilia cordata flower dichloromethane extract (DME) on a lymphoma cell line has been reported previously and in order to extend this to other unstudied Tilia species, the effect of Tilia × viridis DME on the proliferation of tumor and normal murine lymphocytes was investigated. The bioguided fractionation of DME yielded a fraction rich in limonene (L), α‐pinene and β‐pinene, which presented a selective antiproliferative action on tumor lymphocytes (EC50 on tumor cells: 3.8 ± 0.2 µg/mL; EC50 on normal cells: 205 ± 1.8 µg/mL). While all monoterpenes exhibited this activity, limonene proved to be the most active (EC50 on tumor cells: 35 ± 2.0 µg/mL; EC50 on normal cells: 72 ± 5.0 µg/mL) also exerting a stimulatory effect on non‐mitogen stimulated lymphocytes proliferation (% of stimulation respect to control) (mean ± SEM): L 10 µg/mL: 25 ± 1.0%; 20 µg/mL: 38.5 ± 2.5%; L 40 µg/mL: 41 ± 0.9%; L 60 µg/mL: 58.5 ± 3%. T. × viridis may thus constitute a potential source of monoterpenes with immunomodulatory activity. Copyright © 2008 John Wiley & Sons, Ltd.
A Cross-Cultural Analysis of Websites from High-Context Cultures and Low-Context Cultures

The aim of this study is to explore and identify the strategies used by High-Context cultures in utilizing the Internet—a largely Low-Context medium—for communication and marketing purposes. It is hypothesized that individuals in High-Context cultures are more likely to adopt the visual effects offered by the Internet to convey their messages efficiently than their Low-Context counterparts. How might High-Context cultures make the most of the potentials offered by the Internet generation of today? Assuming that visual communication is a high priority in the design of High-Context websites, how do the visual methods used on websites vary according to the communication styles in different cultures? Using Hall's High- and Low-Context dimensions as the main parameters, an exploratory analysis of McDonald's websites identified five different strategies by which visual communication is used to support High-Context communication traits.
Left-view sequences of faces are superior to right-view ones for view generalization

Faces learned from multiple viewpoints are recognized better with left than right three-quarter views. This left-view superiority could be explained by perceptual experience, facial asymmetry, or hemispheric specialization. In the present study, we investigated whether left-view sequences are also more effective in recognizing same and novel views of a face. In a sequential matching task, a view sequence showing a face rotating around a left (−30°) or a right (+30°) angle, with an amplitude of 30°, was followed by a static test view with the same viewpoint as the sequence (−30° or +30°) or with a novel one (0°, +30°, or −30°). We found a superiority of left-view sequences independently of the test viewpoint, but no superiority of left over right test views. These results do not seem compatible with the perceptual experience hypothesis, which predicts superiority only for left-side test views (−30°). Also, a facial asymmetry judgement task showed no correlation between the asymmetry of individual faces and the left-view sequence superiority. A superiority of left-view sequences for novel as well as same test views argues in favour of an explanation by hemispheric specialization, because of the possible role of the right hemisphere in extracting facial identity information.
Gating transitions in the selectivity filter region of a sodium channel are coupled to the domain IV voltage sensor

Voltage-dependent ion channels are crucial for generation and propagation of electrical activity in biological systems. The primary mechanism for voltage transduction in these proteins involves the movement of a voltage-sensing domain (D), which opens a gate located on the cytoplasmic side. A distinct conformational change in the selectivity filter near the extracellular side has been implicated in slow inactivation gating, which is important for spike frequency adaptation in neural circuits. However, it remains an open question whether gating transitions in the selectivity filter region are also actuated by voltage sensors. Here, we examine conformational coupling between each of the four voltage sensors and the outer pore of a eukaryotic voltage-dependent sodium channel. The voltage sensors of these sodium channels are not structurally symmetric and exhibit functional specialization. To track the conformational rearrangements of individual voltage-sensing domains, we recorded domain-specific gating pore currents. Our data show that, of the four voltage sensors, only the domain IV voltage sensor is coupled to the conformation of the selectivity filter region of the sodium channel. Trapping the outer pore in a particular conformation with a high-affinity toxin or disulphide crossbridge impedes the return of this voltage sensor to its resting conformation. Our findings directly establish that, in addition to the canonical electromechanical coupling between voltage sensor and inner pore gates of a sodium channel, gating transitions in the selectivity filter region are also coupled to the movement of a voltage sensor. Furthermore, our results also imply that the voltage sensor of domain IV is unique in this linkage and in the ability to initiate slow inactivation in sodium channels.
All‐Hex Mesh Generation via Volumetric PolyCube Deformation

While hexahedral mesh elements are preferred by a variety of simulation techniques, constructing quality all‐hex meshes of general shapes remains a challenge. An attractive hex‐meshing approach, often referred to as sub‐mapping, uses a low distortion mapping between the input model and a PolyCube (a solid formed from a union of cubes), to transfer a regular hex grid from the PolyCube to the input model. Unfortunately, the construction of suitable PolyCubes and corresponding volumetric maps for arbitrary shapes remains an open problem. Our work introduces a new method for computing low‐distortion volumetric PolyCube deformations of general shapes and for subsequent all‐hex remeshing. For a given input model, our method simultaneously generates an appropriate PolyCube structure and mapping between the input model and the PolyCube. From these we automatically generate good quality all‐hex meshes of complex natural and man‐made shapes.
A socio-technical framework for supporting programmers

Studies have shown that programmers frequently seek external information during programming, from source code and documents, as well as from other programmers because much of the information remains in the heads of programmers. Programmers therefore often ask other programmers questions to seek information in a timely fashion to carry out their work. This information seeking entails several conflicting factors. From the perspective of the information-seeking programmer, not asking questions degrades productivity. Conversely, asking questions interrupts other programmers and degrades their productivity, and may be frowned upon by peers due to the perceived social inconsideration of the information seeker. From the perspective of the recipients of the question, even though helping is costly, not helping also incurs social costs due to the deviation from social norms. To balance all these factors, this paper proposes the STeP_IN (Socio-Technical Platform for In situ Networking) framework to guide the design of systems that support information seeking during different phases of programming. The framework facilitates access to the information in the heads of other programmers while minimizing the negative impacts on the overall productivity of the team.
Evaluation of the effect of Boerhavia diffusa on gentamicin-induced nephrotoxicity in rats

Background: Ayurvedic literature claims that Boerhavia diffusa possesses rejuvenative properties especially related to the urinary system. Objective: To evaluate effect of aqueous extract of root of Boerhavia diffusa in gentamicin-induced nephrotoxicity in rats. Materials and Methods: Study was conducted in two parts, using 40 rats in each part. Rats were equally divided into five groups for each part. Group 1: Normal control, Group 2: Disease control and Groups 3, 4, and 5: α-lipoic acid (ALA) and 200 and 400 mg/kg of B. diffusa, respectively. All groups, except Group 1, concomitantly received gentamicin 150 mg/kg/day for 10 days. Parameters measured in part I were blood urea nitrogen (BUN), serum creatinine, kidney malondialdehyde (MDA), and glutathione (GSH) levels, kidney injury on histopathology; in part II, paraaminohippurate (PAH) clearance . Statistical Analysis: Mean ± SD of body weight, creatinine, BUN, MDA, GSH and PAH clearance were compared using parametric tests. Median histopathology scores were compared using Kruskal-Wallis test. ′P′ value of < 0.05 was considered significant. Results: High dose of gentamicin caused significant elevation in BUN, serum creatinine and kidney MDA, fall in kidney GSH and histopathological damage in disease control group as compared with normal control (P < 0.05). Treatment with B. diffusa prevented changes in above parameters, comparable to ALA. Effects of both doses of B. diffusa were significantly better than disease control (P < 0.05). B. diffusa did not show significant improvement in PAH clearance, which was reduced due to gentamicin damage. Conclusion: B. diffusa exerted protection against structural and functional damage induced by gentamicin possibly due to its antioxidant properties.
Randomized heuristics for the Max-Cut problem

Given an undirected graph with edge weights, the MAX-CUT problem consists in finding a partition of the nodes into two subsets, such that the sum of the weights of the edges having endpoints in different subsets is maximized. It is a well-known NP-hard problem with applications in several fields, including VLSI design and statistical physics. In this article, a greedy randomized adaptive search procedure (GRASP), a variable neighborhood search (VNS), and a path-relinking (PR) intensification heuristic for MAX-CUT are proposed and tested. New hybrid heuristics that combine GRASP, VNS, and PR are also proposed and tested. Computational results indicate that these randomized heuristics find near-optimal solutions. On a set of standard test problems, new best known solutions were produced for many of the instances.
A Flanking Gene Problem Leads to the Discovery of a Gprc5b Splice Variant Predominantly Expressed in C57Bl/6J Mouse Brain and in Maturing Neurons

Background Gprc5b, a retinoic acid-inducible orphan G protein–coupled receptor (GPCR), is a member of the group C metabotropic glutamate receptor family proteins possibly involved in non-canonical Wnt signaling. Many GPCR transcripts are alternatively spliced, which diversifies this class of proteins in their cell- and tissue-specific signaling, regulatory and/or pharmacological properties. We previously generated p97FE65 isoform-specific knockout mice that showed learning/memory deficits. In this study, we further characterized the 97FE65 null mice using cDNA microarray and RT-PCR analyses. Methodology/Principal Findings We discovered a novel brain-specific C-terminal splice variant of Gprc5b, Gprc5b_v2, which was differentially expressed in p97FE65 wild type and null mouse brains. The null mice were generated in 129/Sv ES cells, and backcrossed to C57Bl/6J for ten generations. We found that expression of Gprc5b_v2 mRNA in the brains of p97FE65 null mice was dramatically down-regulated (more than 20 fold) compared to their wild type littermates. However, expression profiles of Gprc5b variants and SNP analysis surrounding the FE65 locus suggest that the down-regulation is unlikely due to the altered FE65 function, but rather is caused by gene retention from the 129/Sv ES cells. Consistently, in contrast to ubiquitously expressed Gprc5b_v1, Gprc5b_v2 was predominantly expressed in the brain tissues of C57Bl/6J mice. The alternative splicing of the 3′ terminal exon also altered the protein coding sequences, giving rise to the characteristic C-termini. Levels of Gprc5b_v2 mRNA were increased during neuronal maturation, paralleling the expression of synaptic proteins. Overexpression of both Gprc5b variants stimulated neurite-like outgrowth in a neuroblastoma cell line. Conclusions/Significance Our results suggest that Gprc5b-v2 may play a role during brain maturation and in matured brain, possibly through the regulation of neuronal morphology and protein-protein interaction. This study also highlights the fact that unexpected gene retention following repeated backcrosses can lead to important biological consequences.
Leadership Researchers on Leadership in Higher Education

This article reports the findings of a study in which leadership researchers were interviewed regarding their experiences and perceptions of leadership in higher education institutions. In particular, the research was concerned with the types of leadership associated with effectiveness, particularly at the Head of Department level. While several forms of leadership were identified as likely to be effective and ineffective, no single type of leadership stood out. The authors consider the implications of the findings for the development of leadership competency frameworks, noting in particular that interviewees tended to be sceptical about them because the frameworks tend to underestimate the significance of contextual factors. The authors also consider why it may be that many of the issues identified from the interview transcripts relate to well-known established themes.
Evaluation of the P2P file sharing technique by Indexed-Priority Metric

Recently, the improvements in processing performance of a computer and high speed communication of an optical fiber have been achieved, so that the amount of data which are processed by a computer and flowed on a network has been increasing greatly. However, in a client-server system, since the server receives and processes the amount of data from the clients through the network, a load on the server is increasing. Thus, there are needed to introduce a server with high processing ability and to have a line with high bandwidth. In this paper, concerning to P2P networks to resolve the load on a specific server, a criterion called an Indexed-Priority Metric has been proposed and its performance is evaluated. The proposed metric is to allocate some files to each node. As a result, the load on a specific server can distribute them to each node equally well. Simulation results show that the proposed metric can make files distribution on the specific server.
TreemapBar: Visualizing Additional Dimensions of Data in Bar Chart

Bar chart is a very common and simple graph that is mainly used to visualize simple x, y plots of data for numerical comparisons by partitioning the categorical data values into bars and typically limited to operate on highly aggregated dataset. In today’s growing complexity of business data with multi dimensional attributes using bar chart itself is not sufficient to deal with the representation of such business dataset and it also not utilizes the screen space efficiently.Nevertheless, bar chart is still useful because of its shape create strong visual attention to users at first glance than other visualization techniques. In this article, we present a treemap bar chart + tablelens interaction technique that combines the treemap and bar chart visualizations with a tablelens based zooming technique that allows users to view the detail of a particular bar when the density of bars increases. In our approach, the capability of the original bar chart and treemaps for representing complex business data is enhanced and the utilization of display space is also optimized.