Miracle-dz/UniFAR-FTUs huggingface dataset:
Remote Area Power Supply System: An Integrated Control Approach Based on Active Power Balance

This article presents a novel control strategy for a high-penetration, wind-based hybrid remote area power supply (RAPS) system. The proposed RAPS system consists of a permanent magnet synchronous generator (PMSG)-based variable-speed wind turbine and a battery energy storage system (ESS) with a dump load for dc bus voltage control and a diesel generator as a backup supply. An integrated control approach based on the active power balance of the proposed RAPS system has been proposed and developed to regulate the voltage and frequency within an acceptable bandwidth. The proposed integrated control algorithm is implemented by developing a controller for the individual system components in the RAPS system, including the wind energy conversion system, the diesel generator, the battery storage system, and the dump load, while coordinating their response to achieve optimal operation. The optimal operation for the proposed RAPS system is realized by operating the wind turbine generator (WTG) at its maximum power extraction mode while restricting the operation of the diesel generating system at low-load conditions. In addition to the detailed model, which mainly comprises nonlinear high-order characteristics of each system component, a linearized model of the RAPS system is presented to compare the active power sharing among the system components. Laboratory-based experimental tests have been conducted to validate the coordinated approach, and the results are presented in this article.
On-the-Job Search and Labor Market Reallocation

This paper studies amplification of productivity shocks in labor markets through on-the-job-search. There is incomplete information about the quality of the employee-firm match which provides persistence in employment relationships and the rationale for on-the-job search. Amplification arises because productivity changes not only affect firms' probability of contacting unemployed workers but also of contacting already employed workers. Since higher productivity raises the value of all matches, even low quality matches become productive enough to survive in expansions. Therefore the measure of workers in low quality matches is greater when productivity is high, implying a higher probability of switching to another match. In other words, firms are more likely to meet employed workers in expansions and those they meet are more likely to accept firm's job offer because they are more likely to be employed in a low quality match. This introduces strongly procyclical labor market reallocation through procyclical job-to-job transitions. Simulations with a productivity process that is consistent with average labor productivity in the U.S. show that standard deviations for unemployment, vacancies and market tightness (vacancy-unemployment ratio) match the U.S. data. The model also reconciles the presence of endogenous separation with the negative correlation of unemployment and vacancies over business cycle frequencies (i.e. it is consistent with the Beveridge curve)
Helix 8 of the M1 Muscarinic Acetylcholine Receptor: Scanning Mutagenesis Delineates a G Protein Recognition Site

We have used alanine-scanning mutagenesis followed by functional expression and molecular modeling to analyze the roles of the 14 residues, Asn422 to Cys435, C-terminal to transmembrane (TM) helix 7 of the M1 muscarinic acetylcholine receptor. The results suggest that they form an eighth (H8) helix, associated with the cytoplasmic surface of the cell membrane in the active state of the receptor. We suggest that the amide side chain of Asn422 may act as a cap to the C terminus of TM7, stabilizing its junction with H8, whereas the side chain of Phe429 may restrict the relative movements of H8 and the C terminus of TM7 in the inactive ground state of the receptor. We have identified four residues, Phe425, Arg426, Thr428, and Leu432, which are important for G protein binding and signaling. These may form a docking site for the C-terminal helix of the G protein α subunit, and collaborate with G protein recognition residues elsewhere in the cytoplasmic domain of the receptor to form a coherent surface for G protein binding in the activated state of the receptor.
Unsafe water, sanitation and hygiene

The disease burden from unsafe water, sanitation and hygiene (WSH) is estimated at the global level taking into account various disease outcomes , principally diarrhoeal diseases. The risk factor is defined as including multiple factors, namely the ingestion of unsafe water, lack of water linked to inadequate hygiene, poor personal and domestic hygiene and agricultural practices, contact with unsafe water, and inadequate development and management of water resources or water systems. For estimating disease burden of infectious diarrhoea, exposure scenarios are established according to water supply and sanitation infrastructure , the level of faecal–oral pathogens in the environment and populations assigned to these scenarios. The total burdens from schisto-somiasis, trachoma, ascariasis, trichuriasis and hookworm disease are all wholly attributable to unsafe WSH and have been quantified at global level as an additional exercise. Unsafe WSH is an important determinant in a number of additional diseases, such as malaria, yellow fever, filariasis, dengue, hepatitis A and hepatitis E, typhoid fever, arsenicosis, fluorosis and legionellosis, some of which present a high disease burden at global level. For infectious diarrhoea, six exposure levels were defined, with the lowest risk level corresponding to an ideal situation where WSH plays no role in disease transmission. Exposure prevalence, in terms of infrastructure , was determined from the Global Water Supply and Sanitation Assessment 2000. This assessment is a synthesis of major international surveys and national census reports covering 89% of the global population. The parameters considered included access to improved water sources and improved sanitation facilities. Relative risk estimates were based on reviews and large multi-country studies for areas with high faecal–oral pathogen loads in the environment (i.e. principally in developing countries). The proportion of disease due to unsafe WSH in regions with low faecal–oral pathogen loads was based on a study analysing the relative importance of etiological agents causing diarrhoeal diseases, supported by evidence from selected studies considered to be of high quality. A low faecal–oral pathogen load in the environment was assumed if sanitation coverage exceeded 98% (which corresponds to the situation in most developed regions). For the high faecal–oral pathogen exposure group, Esrey's multi-country study (1996) suggests that a mean reduction in diarrhoea of 37.5% is possible following the introduction of improved water supply and sanitation in developing country environments. For the low faecal–oral pathogen exposure group, data from the study by Mead et al. (1999) suggested that the proportion of diarrhoeal illness …
Wireless capacity and admission control in cognitive radio

We give algorithms with constant-factor performance guarantees for several capacity and throughput problems in the SINR model. The algorithms are all based on a novel LP formulation for capacity problems. First, we give a new constant-factor approximation algorithm for selecting the maximum subset of links that can be scheduled simultaneously, under any non-decreasing and sublinear power assignment. For the case of uniform power, we extend this to the case of variable QoS requirements and link-dependent noise terms. Second, we approximate a problem related to cognitive radio: find a maximum set of links that can be simultaneously scheduled without affecting a given set of previously assigned links. Finally, we obtain constant-factor approximation of weighted capacity under linear power assignment.
Reaching cluster consensus in multi-agent systems

In this paper, the cluster consensus problem of linearly coupled multi-agent systems in directed networks is studied by constructing a Laplacian of a directed graph. Different from the former work in which the clusters are divided artificially, in this paper, the relationship between the number of the clusters and the Laplacian is revealed. It is obtained that the number of clusters equals to the multiplicity of the zero eigenvalue of the Laplacian. Based on the Algebraic Graph Theory, the Matrix Theory and the Modern Control Theory, a sufficient and necessary condition about the global stability of the cluster consensus in multi-agent system is derived. A numerical example is proposed to illustrate the effectiveness of the method.
Game-themed programming assignments: the faculty perspective

We have designed and implemented game-themed programming assignment modules targeted specifically for adoption in existing introductory programming classes. These assignments are self-contained, so that faculty members with no background in graphics or gaming can selectively pick and choose a subset to combine with their own assignments in existing classes. This paper begins with a survey of previous results. Based on this survey, the paper summarizes the important considerations when designing materials for elective adoption. The paper then describes our design, implementation, and assessment efforts. Our result is a road map that guides faculty members in experimenting with game-themed programming assignments by incrementally adopting/customizing suitable materials for their classes.
Communication Richness in Electronic Mail: Critical Social Theory and the Contextuality of Meaning

Information Richness Theory (IRT) has enjoyed acceptance by information systems researchers throughout the last decade, but recent unfavorable empirical evidence has precipitated a shift away from it and a search for a new theory. Because of this shift, a new definition of communication richness is needed to succeed the IRT definition. Since its inception, IS research on communication richness has been limited to the perspective of positivism and, more recently, interpretivism. In this study, a new perspective to the study of communication richness in computer mediated communication, critical social theory (CST), is introduced. This paper outlines (1) a CST-based definition of communication richness and compares it with positivist and interpretivist definitions of communication richness and (2) a CST-based social action framework for empirical study of organizational communication in any media use situation. The CST definition and framework are used in an intensive investigation of an episode of the managerial use of electronic mail in a company to illustrate how research on communication richness can be conducted from the CST perspective. This illustration also points out the usefulness of the CST perspective in recognizing instances of communication richness in electronic mail communications that would escape detection in not just the IRT perspective in particular, but also positivist and interpretive perspectives in general. Finally, the paper concludes by outlining the potential for future IS research on organizational communication and information technology from the CST perspective. In addition to the specific contribution to the development of a new theory of communication richness in electronic media, this study also contributes an example of CST research on IS and extends the domain of the CST-IS research program.
MNB/DYRK1A as a multiple regulator of neuronal development

MNB/DYRK1A is a member of the dual‐specificity tyrosine phosphorylation‐regulated kinase (DYRK) family that has been strongly conserved across evolution. There are substantial data implicating MNB/DYRK1A in brain development and adult brain function, as well as in neurodegeneration and Down syndrome pathologies. Here we review our current understanding of the neurodevelopmental activity of MNB/DYRK1A. We discuss how MNB/DYRK1A fulfils several sequential roles in neuronal development and the molecular mechanisms possibly underlying these functions. We also summarize the evidence behind the hypotheses to explain how the imbalance in MNB/DYRK1A gene dosage might be implicated in the neurodevelopmental alterations associated with Down syndrome. Finally, we highlight some research directions that may help to clarify the mechanisms and functions of MNB/DYRK1A signalling in the developing brain.
Survey of Computer Vision Based Hand Gesture Recognition System and Methods

Gestures furnish a nice-looking, user-friendly alternative to employing a multimedia constituent like a keyboard, mouse, and joystick inhuman computer contact (HCI). Accordingly, the frank target of gesture credit logical studies are to craft a arrangement that can recognize and comprehend precise human gestures automatically and retain them to communicate data (i.e., for communicative use as in sign-language) or to manipulation produce (in supplementary words., manipulative use like in manipulating robots lacking each physical contact). Plausibly one of the most vital needs for indication speech credit is that usual gesturing be upheld by the credit engine so that a person can link alongside the arrangement alongside no constraints. As a sequence of gestures is usually blended alongside co articulation and unintentional movements, these non-gestural movements ought to truly be eliminated from an input video beforehand the identification of every single gesture in the sequence.
Exposure of Phytopathogenic Xanthomonasspp. to Lethal Concentrations of Multiple Oxidants Affects Bacterial Survival in a Complex Manner

ABSTRACT During plant-microbe interactions and in the environment,Xanthomonas campestris pv. phaseoli is likely to be exposed to high concentrations of multiple oxidants. Here, we show that simultaneous exposures of the bacteria to multiple oxidants affects cell survival in a complex manner. A superoxide generator (menadione) enhanced the lethal effect of an organic peroxide (tert-butyl hydroperoxide) by 1,000-fold; conversely, treatment of cells with menadione plus H2O2resulted in 100-fold protection compared to that for cells treated with the individual oxidants. Treatment of X. campestris with a combination of H2O2 and tert-butyl hydroperoxide elicited no additive or protective effect. High levels of catalase alone are sufficient to protect cells against the lethal effect of menadione plus H2O2 andtert-butyl hydroperoxide plus H2O2. These data suggest that H2O2 is the lethal agent responsible for killing the bacteria as a result of these treatments. However, increased expression of individual genes for peroxide (alkyl hydroperoxide reductase, catalase)- and superoxide (superoxide dismutase)-scavenging enzymes or concerted induction of oxidative stress-protective genes by menadione gave no protection against killing by a combination of menadione plustert-butyl hydroperoxide. However, X. campestris cells in the stationary phase and a spontaneous H2O2-resistant mutant (X. campestris pv. phaseoli HR) were more resistant to killing by menadione plus tert-butyl hydroperoxide. These findings give new insight into oxidant killing of Xanthomonas spp. that could be generally applied to other bacteria.
Estimating Origin-Destination flows using opportunistically collected mobile phone location data from one million users in Boston Metropolitan Area

In this paper, we present an algorithm for the analysis of opportunistically collected mobile phone location data to estimate a population’s travel demand in terms of origins and destinations of individual trips. Aggregating the trips from millions individual mobile phone users in the Boston Metropolitan area, we show that the estimated Origin-Destination flows correlate well with the US Census estimates at both the county and census tract levels. Moreover, compared to traditional census survey data, our estimations allow capturing weekday and weekend patterns as well as seasonal variations. These features could make methods for Origin-Destination flow estimation based on opportunistically collected mobile phone location data a critical component for transportation management and emergency response.
String cosmology of the D-brane universe

We analyze homogeneous anisotropic cosmology driven by the dilaton and the self-interacting ''massive'' antisymmetric tensor field which are indispensable bosonic degrees with the graviton in the NS-NS sector of string theories with D-branes. We found the attractor solutions for this system, which show the overall features of general solutions, and confirmed it through numerical analysis. The dilaton possesses the potential due to the presence of the D-brane and the curvature of extra dimensions. In the presence of the nonvanishing antisymmetric tensor field, the homogeneous universe expands anisotropically while the D-brane term dominates. The isotropy is recovered as the dilaton rolls down and the curvature term dominates. With the stabilizing potential for the dilaton, the isotropy can also be recovered.
A topic based document relevance ranking model

Topic modelling has been widely used in the fields of information retrieval, text mining, machine learning, etc. In this paper, we propose a novel model, Pattern Enhanced Topic Model (PETM), which makes improvements to topic modelling by semantically representing topics with discriminative patterns, and also makes innovative contributions to information filtering by utilising the proposed PETM to determine document relevance based on topics distribution and maximum matched patterns proposed in this paper. Extensive experiments are conducted to evaluate the effectiveness of PETM by using the TREC data collection Reuters Corpus Volume 1. The results show that the proposed model significantly outperforms both state-of-the-art term-based models and pattern-based models.
Subcellular location of apoptosis proteins based on chaos game representation

Based on the chaos game representation of protein sequences, a new method to predict the subcellular location of apoptosis protein sequences was put forward. Using of Support Vector Machine,and tested on a known dataset which includes 317 apoptosis proteins, the higher predictive success rates were obtained. Our prediction results showed that the chaos game representation of protein sequences were very useful for predicting subcellular location of apoptosis proteins.
Visualizations for the Assessment of Learning in Computer Games

Mounting evidence suggests that current trends in global energy usage are leading to global warming, which will likely change our climate irreparably. Yet, as noted in IPCC reports, most people do not take this danger seriously enough to change their behaviors. Computer games, which are increasingly being used for educational purposes, have the potential to change people's understanding and attitudes toward critical issues such as energy use and global climate change. Yet it remains unclear how well serious games achieve these ends, and what, exactly, it is that makes them effective. We propose that by looking at data collected by these games, and correlating it with instruments that measure changes in attitudes, we can determine what game scenarios and activities are actually changing people's minds. This will help us to design more effective games for educating the public in a way that yields tangible results. In this paper we describe a novel strategy for classifying and visualizing the dynamic, multivariate data generated by serious games. Our contribution is a framework for categorizing these data, corresponding to layered visualizations that help to reveal the patterns in what players are doing over time. Specifically, this paper introduces the concept of Action Shapes, which are glyphs that are automatically generated using a variation on parallel coordinates. As elements in the layered visualization, Action Shapes represent the "benificence" of students' choices seen in the contexts of student progress and the overall game state. As proof of concept, we are applying this visualization to Energy Choices, a multiplayer game that teaches people about the interrelated issues of global warming and energy use. Although the examples provided in this paper are specific to this particular game, this strategy may be readily applied to a wide variety of other educational games designed to help people to be smarter about energy use and the planet. Information visualization; learning assessment; serious games; glyph-based techniques; parallel coordinates
Mesenchymal Stem Cells and Umbilical Cord as Sources for Schwann Cell Differentiation : their Potential in Peripheral Nerve Repair

Schwann cells are important components of the peripheral glia that form myelin, serving as the microenvironment of nerve fibers in the peripheral nervous system (PNS). Damage to the PNS induces the differentiation and activation of Schwann cells to produce factors that strongly promote axonal regrowth, and subsequently contribute to remyelination, which is crucial for the recovery of function. Although the collection and transplantation of native Schwann cells are effective for the treatment of neural diseases, isolation of Schwann cells results in new damage to other peripheral nerve segments and causes undesirable iatrogenic injury in the donor. Furthermore, the expansion of native Schwann cells to obtain a sufficient number of cells for clinical application within a reasonable period is technically difficult. Therefore, a method to induce easily accessible and highly proliferative cells to differentiate into cells with Schwann cell properties would be very practical and is highly desirable. Recently, regenerative medicine has focused on mesenchymal stem cells because they are easily accessible from various kinds of mesenchymal tissues such as the umbilical cord, bone marrow, and fat tissue. Mesenchymal stem cells are highly proliferative and it is easy to obtain an adequate number of cells. Notably, while mesenchymal stem cells are mesodermal lineage cells, they have an ability to cross oligolineage boundaries previously thought uncrossable to achieve transdifferentiation. In this review, we focus on the potential of mesenchymal stem cells, particularly umbilical cord-derived mesenchymal stem cells, to differentiate into functional Schwann cells, and discuss the prospective clinical application of these cells to PNS regeneration.
Leakage current suppression for transformerless inverter for grid connected PV power systems

Due to the driving worldwide environmental demand for the renewable energy resources the photovoltaic power market in the recent years experiences certain amount of the innovations regarding the construction and the operation of the inverter connected to the grid. One such significant development, is that the abolition of the galvanic isolation due to the absence of the transformer which causes safety threats in the event of ground faults. This results in the development of the transformerless CSI inverter which experiences reduced cost, higher efficiency, smaller size and weight. But the use of the CSI injects high earth leakage current into the grid the leakage current generated between the PV panels and the ground. In order to overcome the aforementioned limitations, this paper deals with the effective solution to anticipate the CM ground leakage current using the transformerless Modified Current Source Inverter (MCSI) for grid connected photovoltaic power system. Bssy the use of Maximum Power Point Tracking(MPPT) control technique and SEPIC converter desired output from PV to the inverter is achieved. This advance topology can be modulated using Space Vector Pulse Width Modulation (SVPWM) to produce the reduced output ripple. The experimental results show the performance of the proposed solution in terms of ground leakage current reduction and the experimental studies are analyzed using MATLAB simulation.