Miracle-dz/UniFAR-FTUs huggingface dataset:
Dual of Defected Ground Structure for Coplanar Stripline

Defected ground structures (DGS) have been used with microstrip and coplanar waveguide (CPW), but until now no comparable structure has been demonstrated for coplanar stripline (CPS), probably because there is no “ground plane. ” This letter introduces a dual of DGS for CPS with dual properties, or it acts as a shunt, series RLC circuit that creates an equivalent shunt short circuit at the resonant frequency, which is the dual of the DGS in microstrip or CPW.
Trajectory modification of a cloud learning robot

In the near future, home service robots will enter our daily life and interact with people more and more frequently. In order to cope with the needs and habits of different users, an easy robot programming method is desirable. For some users, who are not familiar with programming, customizing the robot program deserves attention. This paper suggests a method to use Programming by Demonstration(PbD) to teach a robot through user demonstration of the trajectory and save the trajectory into a cloud database to facilitate future playback when needed. Through the cloud database, each robot shares previously recorded trajectories. However, in many cases a recorded trajectory may need to be modified to be customized for an individual user. In this paper, a method is proposed to facilitate the robot to return to the original trajectory as part of the retrieved trajectory is modified. Experimental results are presented by using two robots in the robotic cloud system. The first one is the prototype dual-arm home service robot Aladdin developed in the lab. The second robot is a TM5 robot from Techman, which reproduced the learned trajectories remotely.
ffi cient calculation of H-group closeness centrality over disk-resident graphs

We introduce H -group closeness centrality in this work. H -group closeness centrality of a group of nodes measures how close this node group is to other nodes in a graph, and can be used in numerous applications such as measuring the importance and influence of a group of users in a social network. When a large graph contains billions of edges that cannot reside entirely in a computer’s main memory, computing and maximizing H -group closeness centrality both become challenging. In this work, we present a systematic solution for efficiently computing and maximizing H -group closeness centrality in large diskresident graphs, only using a common PC. Our solution leverages a probabilistic counting method to efficiently estimate H -group closeness with high accuracy, rather than exhaustively computing it in an exact fashion. Furthermore, we design an I/O-efficient greedy algorithm to find a node group that approximately maximizes H -group closeness centrality in a graph. Our algorithm exploits several appealing properties of the defined H -group closeness measure to reduce the computational cost of handling a disk-resident graph. Extensive evaluation on large real-world and synthetic graphs demonstrates the efficiency of our proposed method. For example, our proposed I/O-efficient greedy algorithm is about 300 times faster than a simple multi-pass method on the Twitter graph with 1.4 billion edges. This reduces the running time of identifying one group member from nearly an hour to less than 20 s on average. © 2017 Elsevier Inc. All rights reserved.
In silico design and expression of a novel fusion protein of HBHA and high antigenic region of FAP-P of Mycobacterium avium subsp. paratuberculosis in Pichia pastoris

Mycobacterium avium subsp. paratuberculosis (MAP) is the etiologic agent of Johne's disease in ruminants and there has been a shift in the public health approach to MAP and human diseases like Crohn's disease. The prevention of infection by MAP in ruminants is thought to deter the high impact of economic losses in the level of dairy industry and possible spreading of this pathogen in dairy products. The present study was done to investigate the construction and expression of the soluble form of a novel fusion protein, consisting of Heparin-binding hemagglutinin (HBHA) and high antigenic region of Fibronectin Attachment Protein-P (FAP-P), in order to introduce as a Th1 inducer subunit vaccine against MAP. HBHA is a mycobacterial adhesin and it has been demonstrated that a HBHA-specific IFN-γ response, in latent M. tuberculosis infection, depends on the methylation of the antigen. Further, FAP-P induces Th1 polarization. Because methylation of HBHA was not performed in E. coli, Pichia pastoris was chosen as the host. The desired fusion protein had a similar 3D structure to that of HBHA with its native form and post-translational methylation in C-terminal. Hence, the uptake of the purified fusion protein will be done by M cells because of HBHA, and cell-mediated immunity will be induced because of both antigens. Eventually, successful construction and expression of the newly-designed chimeric protein under the mentioned conditions is reported in this article.
Does Financial Growth Lead Economic Performance in India? Causality-Cointegration Using Unrestricted Vector Error Correction Models

Using contemporary models this paper explores the time-series properties of financial infrastructure and economic growth indicators to investigate the nexus between developments in financial intermediation with the economic growth for India over the 1971-2004 periods. Both over short-run and the long-run perspective the paper seeks to answer; whether the financial infrastructure variables are complementary or a substitute for economic performance? and in what way economic growth is affected by the financial infrastructural development indicators? We find evidence in favor of a short run “financial infrastructure led economic growth”. Finance is found to be a leading sector only in the short-term link in Granger causality tests with stationary variables. The study provides robust empirical evidence in favor of supply leading hypothesis for the Indian economy.
Server side web scripting in Haskell

The Common Gateway Interface (CGI) for generating dynamic documents on web servers imposes much accidental complexity on the programmer. The HaskellsCGI library documented in this paper hides all this unpleasantness by using the common sense ‘design pattern’ of separating model and presentation. Low-level query string requests are represented by association lists, and primitive HTTP responses are easily constructed using a set of HTML generating combinators. The CGI programmer only needs to write a worker function that maps an abstract request into an abstract response. A (higher-order) wrapper function then transmutes the worker into a real low-level CGI script that deals with the exact format of concrete requests and responses as required by the CGI standard.
An adaptive fuzzy PID control strategy for vehicle yaw stability

In order to improve the safety and stability of the vehicle under the different road conditions, in this paper, the basic principle of the vehicle handling stability is analyzed, a control strategy based on fuzzy control adaptive adjust PID parameters is proposed. The linear two-degree-of-freedom vehicle model was set up in Simulink and the vehicle stability test was carried out with the simulation platform jointly established with CarSim. The results show that the proposed control strategy can improve the safety and stability of the vehicle in different road conditions. In the emergency double-shift line condition of snow and dry road, the control strategy proposed in this paper is reduced by 45.57% / 47.16% and 22.18% / 13.86% respectively compared with the peak of the steering wheel angle and yaw rate of CarSim's original control strategy, which is of great significance to improve the handling stability of the vehicle.
Trajectories of well‐being during an exercise randomized controlled trial: The role of exposure and exercise experiences

We examined how process factors were related to the development of various indicators of well-being during the course of an exercise randomized controlled trial aimed at reducing fatigue among university students. We investigated (a) whether actual exposure to the exercise sessions was related to differences in students' trajectories of well-being, (b) the minimally required exposure to exercise needed before well-being started to differ between the intervention and control condition, and (c) whether exercise experiences (enjoyment and detachment) were related to differences in well-being trajectories. University students with high levels of fatigue were randomly allocated to a 6-week exercise intervention (n = 50) or wait list (n = 49). All participants were measured before, 5 times during, and at the end of the intervention period. Multilevel analyses showed that exercisers with high exposure showed an increase in self-efficacy whereas those with low exposure did not. Effects of exercise on well-being became visible after 2 to 4 weeks during the intervention period and (partly) depended on the extent of psychological detachment. We recommend that both outcomes and process factors throughout the intervention period should be measured in order to better understand "when" and "under what conditions" an exercise intervention works.
Weight-Related Sports Involvement in Girls: Who is at Risk for Disordered Eating?

A 225-item questionnaire was completed by 5163 female 7th, 9th and 11th grade public school students in their classrooms to examine factors associated with eating disorders among girls involved in weight-related sports. Eating disorder symptoms were found in almost one third of girls involved in weight-related and non-weight-related sports. However, after controlling for grade, race, SES, and study design effect, girls in weight-related sports were 51% more likely to have eating disorder symptoms. Also, among girls in weight-related sports who had eating disorders, substance abuse, physical and sexual abuse history, depressive symptoms, suicide attempts, low family communication, and low parental caring were 98% to 377% more common.
Analytical microscopy of iron-based superconducting materials

Abstract Inhomogeneity and phase separation in unconventional superconducting materials is a topic of increasing interest, as the competition between phases with different types of ordering is thought to play an important role in the emergence of the high temperature superconducting state. A wide range of experimental techniques are available for investigating the crystallography of these complex materials, however the majority are bulk probes. Here we briefly review some spatially resolved techniques that are being used to investigate phase separation in ironbased superconductors, with a focus on analytic Scanning Electron Microscopy techniques and synchrotron-based Photoelectron Microscopy.
Operational space dynamics for modular reconfigurable manipulators

A modular reconfigurable manipulator (MRM) system consists of an inventory of standardized joint and link modules that can be assembled into different manipulator configurations. This paper mainly focuses on the formulation of operational space dynamics for a MRM system. To this end, a configuration-independent geometric modeling approach is employed to formulate the recursive dynamic model for a MRM based on the Newton-Euler method. Consequently, the closed-form dynamic equation in joint space is readily generated. Utilizing the generalized inverse of the Jacobian matrix, the closed-form dynamic model of a MRM expressed in operational space is obtained. The simulation results verify the correctness and effectiveness of the proposed algorithm.
Shp2–Mitogen-Activated Protein Kinase Signaling Drives Proliferation during Zebrafish Embryo Caudal Fin Fold Regeneration

ABSTRACT Regeneration of the zebrafish caudal fin following amputation occurs through wound healing, followed by formation of a blastema, which produces cells to replace the lost tissue in the final phase of regenerative outgrowth. We show that ptpn11a−/− ptpn11b−/− zebrafish embryos, lacking functional Shp2, fail to regenerate their caudal fin folds. Rescue experiments indicated that Shp2a has a functional signaling role, requiring its catalytic activity and SH2 domains but not the two C-terminal tyrosine phosphorylation sites. Surprisingly, expression of Shp2a variants with increased and reduced catalytic activity, respectively, rescued caudal fin fold regeneration to similar extents. Expression of mmp9 and junbb, indicative of formation of the wound epidermis and distal blastema, respectively, suggested that these processes occurred in ptpn11a−/− ptpn11b−/− zebrafish embryos. However, cell proliferation and MAPK phosphorylation were reduced. Pharmacological inhibition of MEK1 in wild-type zebrafish embryos phenocopied loss of Shp2. Our results suggest an essential role for Shp2a–mitogen-activated protein kinase (MAPK) signaling in promoting cell proliferation during zebrafish embryo caudal fin fold regeneration.
Anti-infective Activity of 2-Cyano-3-Acrylamide Inhibitors with Improved Drug-Like Properties against Two Intracellular Pathogens

ABSTRACT Due to the rise of antibiotic resistance and the small number of effective antiviral drugs, new approaches for treating infectious diseases are urgently needed. Identifying targets for host-based therapies represents an emerging strategy for drug discovery. The ubiquitin-proteasome system is a central mode of signaling in the eukaryotic cell and may be a promising target for therapies that bolster the host's ability to control infection. Deubiquitinase (DUB) enzymes are key regulators of the host inflammatory response, and we previously demonstrated that a selective DUB inhibitor and its derivative promote anti-infective activities in host cells. To find compounds with anti-infective efficacy but improved toxicity profiles, we tested a library of predominantly 2-cyano-3-acrylamide small-molecule DUB inhibitors for anti-infective activity in macrophages against two intracellular pathogens: murine norovirus (MNV) and Listeria monocytogenes. We identified compound C6, which inhibited DUB activity in human and murine cells and reduced intracellular replication of both pathogens with minimal toxicity in cell culture. Treatment with C6 did not significantly affect the ability of macrophages to internalize virus, suggesting that the anti-infective activity interferes with postentry stages of the MNV life cycle. Metabolic stability and pharmacokinetic assays showed that C6 has a half-life in mouse liver microsomes of ∼20 min and has a half-life of approximately 4 h in mice when administered intravenously. Our results provide a framework for targeting the host ubiquitin system in the development of host-based therapies for infectious disease. Compound C6 represents a promising tool with which to elucidate the role of DUBs in the macrophage response to infection.
Oxygen Radicals Promote ICAM-1 Expression and Microcirculatory Disturbances in Experimental Acute Pancreatitis

Background/Aims: The course of pancreatitis is paralleled by a drastic reduction in organ perfusion and increased ICAM-1-mediated leukocyte-endothelial interaction. We aimed to evaluate the effect of oxygen radicals on ICAM-1 expression and the microcirculation in severe acute pancreatitis using the oxygen radical scavenger dimethylsulfoxide (DMSO). Materials and Methods: Severe pancreatitis was induced in rats (n = 32) who were randomly assigned to one of two groups: either 4 ml/kg 50% DMSO/saline (v/v) started 3 h after induction of pancreatitis or 4 ml/kg saline (control). Microcirculation was evaluated by intermittent intravital microscopy. Serum amylase and lipase, histomorphometric changes, immunohistochemistry for ICAM-1 expression and 24-hour survival were investigated. Results: Leukocyte adherence was significantly reduced (4.4 ± 0.47 vs. 5.58 ± 0.69 sticker/100 µm, p < 0.05), and mean capillary (0.96 ± 0.06 vs. 0.45 ± 0.13 mm/s; p < 0.01) and venous erythrocyte velocity (1.16 ± 0.12 vs. 0.58 ± 0.16 mm/s, p < 0.01) were significantly increased by DMSO treatment. Microcirculatory disturbances were paralleled by an increase in endothelial ICAM-1 expression, whereas DMSO reduced ICAM-1 expression. Conclusion: DMSO improves pancreatic microcirculation and reduces ICAM-1 expression and subsequent leukocyte adhesion, suggesting an important role of oxygen free radicals in the pathway of endothelial ICAM-1 expression and microcirculatory disturbances in acute pancreatitis.
A longitudinal microhardness analysis of fluoride dentifrice effects on lesion progression in vitro.

The longitudinal microhardness technique has been used to determine the effect of a sodium fluoride dentifrice on the progression of artificial carious lesions in a pH cycling model in vitro. The NaF dentifrice was found to be extremely effective in reducing the progression of caries in enamel, limiting both the depth of acid damage and the degree of mineral loss measured at discrete intervals within specimens. Lesion progression areas, estimated using Simpson’s rule to integrate hardness data, indicated that the NaF dentifrice effected a 73 and 82% overall reduction in lesion advancement, relative to placebo and untreated controls. This area analysis appeared to represent a useful means for simplifying comparisons of treatment effects in remineralization studies using cross-sectional microhardness as the measurement tool. In terms of comparative accuracy to microradiography, analysis of published data indicated that the longitudinal microhardness technique, while limited in some respects, can provide useful estimates of remineralization/lesion-progression areas.
Exploring the Linkage between Activity-Friendly Zoning, Inactivity, and Cancer Incidence in the United States

Background: Physical activity (PA) protects against cancer and enhances cancer survivorship. Given high inactivity rates nationwide, population-level physical activity facilitators are needed. Several authoritative bodies have recognized that zoning and planning helps create activity-friendly environments. This study examined the association between activity-friendly zoning, inactivity, and cancer in 478 of the most populous U.S. counties. Methods: County geocodes linked county-level data: cancer incidence and smoking (State Cancer Profiles), inactivity (Behavioral Risk Factor Surveillance System), 11 zoning measures (compiled by the study team), and covariates (from the American Community Survey and NAVTEQ). For each zoning measure, single mediation regression models and Sobel tests examined whether activity-friendly zoning was associated with reduced cancer incidence, and whether inactivity mediated those associations. All models were clustered on state with robust SEs and significance at the P < 0.05 level. Results: Zoning for crosswalks, bike–pedestrian connectivity, and bike–pedestrian trails/paths were associated with reduced cancer incidence (β between −0.71 and −1.27, P < 0.05), about 1 case per 100,000 for each 10 percentage-point increase in county population exposure to zoning. Except for crosswalks, each association was mediated by inactivity. However, county smoking attenuated these results, with only crosswalks remaining significant. Results were similar for males (with zoning for bike–pedestrian connectivity, street connectivity, and bike–pedestrian trails/paths), but not females, alone. Conclusions: Zoning can help to create activity-friendly environments that support decreased inactivity, and possibly reduced cancer incidence. Impact: Given low physical activity levels nationwide, cross-sectoral collaborations with urban planning can inform cancer prevention and public health efforts to decrease inactivity and cancer. Cancer Epidemiol Biomarkers Prev; 26(4); 578–86. ©2017 AACR. See all the articles in this CEBP Focus section, “Geospatial Approaches to Cancer Control and Population Sciences. ”
Germinal Center Optimization Applied to Neural Inverse Optimal Control for an All-Terrain Tracked Robot

Nowadays, there are several meta-heuristics algorithms which offer solutions for multi-variate optimization problems. These algorithms use a population of candidate solutions which explore the search space, where the leadership plays a big role in the exploration-exploitation equilibrium. In this work, we propose to use a Germinal Center Optimization algorithm (GCO) which implements temporal leadership through modeling a non-uniform competitive-based distribution for particle selection. GCO is used to find an optimal set of parameters for a neural inverse optimal control applied to all-terrain tracked robot. In the Neural Inverse Optimal Control (NIOC) scheme, a neural identifier, based on Recurrent High Orden Neural Network (RHONN) trained with an extended kalman filter algorithm, is used to obtain a model of the system, then, a control law is design using such model with the inverse optimal control approach. The RHONN identifier is developed without knowledge of the plant model or its parameters, on the other hand, the inverse optimal control is designed for tracking velocity references. Applicability of the proposed scheme is illustrated using simulations results as well as real-time experimental results with an all-terrain tracked robot.
A New Fault Classifier in Transmission Lines Using Intrinsic Time Decomposition

As nonstationarity exists in fault signals of transmission lines, their classification and quantification remain a challenging issue. This paper presents a new scheme for feature extraction in an attempt to achieve high fault classification accuracy. The proposed scheme consists of three steps: first, the proper rotation components (PRCs) matrix of current signals captured from one end of the protected line is constructed using the intrinsic time decomposition, a fast time-domain signal processing tool with no need for sensitive tuning parameters. Second, the singular value decomposition and nonnegative matrix factorization are employed to decompose the PRCs into its significant components. Finally, eight new normalized features extracted from the output of the data processing techniques are fed into the probabilistic neural network classifier. The data processing techniques employed for classification substantially improve the overall quality of the input patterns classified and increase the generalization capability of the trained classifiers. The proposed scheme is evaluated through two simulated sample systems in the PSCAD/EMTDC software and field fault data. Moreover, the effects of the current transformer saturation, decaying dc component, and noisy conditions are evaluated. The comparison results and discussion regarding the different aspects of the problem confirm the efficacy of the proposed scheme.
Saffold virus, an emerging human cardiovirus

Saffold virus (SAFV) is an emerging human cardiovirus that has been shown to be ubiquitous. Initial studies of SAFV focused on respiratory and gastrointestinal infection; however, it has also recently been associated with diverse clinical symptoms including the endocrine, cardiovascular, and neurological systems. Given the systemic nature of SAFV, and its high prevalence, understanding its pathogenicity and clinical impact is of utmost importance. This comprehensive review highlights and discusses recent developments in epidemiology, human pathogenicity, animal, and molecular studies related to SAFV. It also provides detailed insights into the neuropathogenicity of SAFV. We argue that human studies have been confounded by coinfections and therefore require support from robust molecular and animal research. Thereby, we aim to provide foresight into further research to better understand this emerging virus.