Miracle-dz/UniFAR-FTUs huggingface dataset:
A Simulation Modeling Approach to Understanding Information Technology Value Cocreation

The business value of information technology (IT) is increasingly being cocreated by multiple parties, opening opportunities for new research initiatives. Previous studies on IT value cocreation mainly focus on analyzing sources of cocreated IT value, yet inadequately accommodating the influence of competition relationships in IT value cocreation activities. To fill the gap, this in-progress paper suggests an agent-based modeling (also simulation) approach to investigating potential influences of the dynamic interplay between cooperation and competition relationships in IT value cocreation settings. In particular, the research proposes a high-level conceptual framework to position general IT value cocreation processes. A relational network view is offered, aiming at decomposing and systemizing several typical cooperation and competition scenarios in practical IT value cocreation settings. The application of a simulation approach to analytical insights and to theory building is illustrated.
Deterministic algorithms for 2-d convex programming and 3-d online linear programming

We present a deterministic algorithm for solving two-dimensional convex programs with a linear objective function. The algorithm requiresO(klogk) primitive operations forkconstraints; if a feasible point is given, the bound reduces toO(klogk/loglogk). As a consequence, we can decide whetherkconvexn-gons in the plane have a common intersection inO(klognmin{logk, loglogn}) worst-case time. Furthermore, we can solve the three-dimensional online programming problem ino(log3n) worst-case time per operation.
Labour Market Dynamics and Industrial Clusters: an Ecological Based Approach

The paper investigates the role of labour flows in determining the growth of industrial clusters (defined as a combination of industries and spatial areas). Within an ecological approach the role of inter and intra industry - as well as of inter and intra cluster - interactions is theoretically modelled and empirically tested. This approach is enriched with other economic perspectives in order to take into account the eect of workers’ migration flows and its skill
Mining Accurate Top-K Frequent Closed Itemset from Data Stream

Frequent Closed Item set mining on data streams is of great significance. Though a minimum support threshold is assumed to be available in classical mining, it is hard to determine it in data streams. Hence, it is more reasonable to ask users to set a bound on the result size. Therefore, a real-time single-pass algorithm, called Top-k frequent closed item sets and a new way of updating the minimum support were proposed for mining top-K closed item sets from data streams efficiently. A novel algorithm, called Can(T), is developed for mining the essential candidate of closed item sets generated so far. Experimental results show that the proposed the algorithm in this paper is an efficient method for mining top-K frequent item sets from data streams.
Matrix Metalloproteinases Limit Functional Recovery after Spinal Cord Injury by Modulation of Early Vascular Events

Inflammation in general and proteinases generated as a result are likely mediators of early secondary pathogenesis after spinal cord injury. We report that matrix metalloproteinase-9 (MMP-9) plays an important role in blood–spinal cord barrier dysfunction, inflammation, and locomotor recovery. MMP-9 was present in the meninges and neurons of the uninjured cord. MMP-9 increased rapidly after a moderate contusion spinal cord injury, reaching a maximum at 24 hr, becoming markedly reduced by 72 hr, and not detectable at 7 d after injury. It was seen in glia, macrophages, neutrophils, and vascular elements in the injured spinal cord at 24 hr after injury. The natural tissue inhibitors of MMPs were unchanged over this time course. MMP-9-null mice exhibited significantly less disruption of the blood–spinal cord barrier, attenuation of neutrophil infiltration, and significant locomotor recovery compared with wild-type mice. Similar findings were observed in mice treated with a hydroxamic acid MMP inhibitor from 3 hr to 3 d after injury, compared with the vehicle controls. Moreover, the area of residual white matter at the lesion epicenter was significantly greater in the inhibitor-treated group. This study provides evidence that MMP-9 plays a key role in abnormal vascular permeability and inflammation within the first 3 d after spinal cord injury, and that blockade of MMPs during this critical period attenuates these vascular events and leads to improved locomotor recovery. Our findings suggest that early inhibition of MMPs may be an efficacious strategy for the spinal cord-injured patient.
Loading Large Sparse Matrices Stored in Files in the Adaptive-Blocking Hierarchical Storage Format

The parallel algorithm for loading large sparse matrices from files into distributed memories of high performance computing (HPC) systems is presented. This algorithm was designed specially for matrices stored in files in the space-effcient adaptive-blocking hierarchical storage format (ABHSF). The algorithm can be used even if matrix storing and loading procedures use a different number of processes, different matrix-processes mapping, or different in-memory storage format. The file format based on the utilization of the HDF5 library is described as well. Finally, the presented experimental study evaluates the proposed algorithm empirically.
Cluster Stopping Rules for Word Sense Discrimination

As text data becomes plentiful, unsupervised methods for Word Sense Disam-biguation (WSD) become more viable. A problem encountered in applying WSD methods is finding the exact number of senses an ambiguity has in a training corpus collected in an automated manner. That number is not known a priori; rather it needs to be determined based on the data itself. We address that problem us-ing cluster stopping methods. Such techniques have not previously applied to WSD. We implement the methods of Calinski and Harabasz (1975) and Harti-gan (1975) and our adaptation of the Gap statistic (Tibshirani, Walter and Hastie, 2001). For evaluation, we use the WSD Test Set from the National Library of Medicine, whose sense inventory is the Unified Medical Language System. The best accuracy for selecting the correct number of clusters is 0.60 with the C&H method. Our error analysis shows that the cluster stopping methods make finer-grained sense distinctions by creating additional clusters. The highest F-scores (82.89), indicative of the quality of cluster membership assignment, are comparable to the baseline majority sense (82.63) and point to a path towards accuracy improvement via additional cluster pruning. The importance and significance of the current work is in applying cluster stopping rules to WSD.
Peroxynitrite Donor SIN-1 Alters High-Affinity Choline Transporter Activity by Modifying Its Intracellular Trafficking

Sodium-coupled, high-affinity choline transporters (CHTs) are inhibited by 3-morpholinosydnonimine (SIN-1) [peroxynitrite (ONOO−) donor]; ONOO− can be produced from nitric oxide and reactive oxygen species during neurodegeneration. SIN-1 rapidly increases CHT internalization from the cell surface, and this correlates with decreased choline uptake. This study addresses mechanisms by which SIN-1 inhibits CHT function in human neuronal SH-SY5Y cells. Thus, mutant L531A-CHT, which does not constitutively internalize into cells by a clathrin-mediated process, is resistant to SIN-1 effects. This suggests that CHT inhibition is not due to oxidative–nitrosative inactivation of the protein and that decreased levels of cell surface CHT in SIN-1-treated cells is related to alterations in its trafficking and subcellular disposition. Dominant-negative proteins AP180C and dynamin-K44A, which interfere with clathrin-mediated and dynamin-dependent endocytosis, respectively, attenuate CHT inhibition by SIN-1. CHT in both vehicle- and SIN-1-treated cells colocalizes with Rab7, Rab9, and Lamp-1 in late endosomes and lysosomes to a similar extent. Lysosome inhibitors increase choline uptake, suggesting that CHT proteins are normally degraded by lysosomes, and this is not altered by oxidative stress. Unexpectedly, inhibitors of proteasomes, but not lysosomes, attenuate SIN-1-mediated inhibition of choline uptake, indicating that proteasomal degradation plays a role in regulating CHT disposition in SIN-1-treated cells. SIN-1 treatment also enhances CHT ubiquitination. Thus, CHT inhibition in SIN-1-treated cells is mediated by proteasomal degradation, which differs from inhibitory mechanisms for some neurotransmitter transporters under similar conditions. Increased oxidative–nitrosative stress in the microenvironment of cholinergic nerve terminals would diminish cholinergic transmission by reducing choline availability for ACh synthesis.
Do Latinos still support immigrant rights activism? Examining Latino attitudes a decade after the 2006 protest wave

ABSTRACT The historic and primarily Latino 2006 immigrant rights protest wave occurred in response to proposed federal anti-immigrant legislation (H.R. 4437). Research on the unprecedented series of demonstrations suggests that the draconian and racialized nature of the bill helps explain why it incited large-scale collective action. Utilising a new survey with a considerable oversample of Latino respondents, the 2016 Collaborative Multiracial Post-Election Survey (CMPS), this paper investigates the role that collective identities, racialisation, and social networks play in Latino support for contemporary immigrant rights activism. To do so, we incorporate measures such as linked fate, perceptions of anti-immigrant sentiments, knowing undocumented people, and concerns about immigration enforcement policies. The results of our analysis indicate that some of the same factors that influenced Latino engagement in the 2006 mobilisations, such as identity and racialisation, concerns over enforcement, and social networks, continue to impact Latino support for contentious politics on behalf of the foreign-born. We also find evidence that political party and past protest activity, play a significant role in explaining levels of support for activism. Our results have important implications for understanding how anti-immigrant policies and racialized nativism influence Latino support for contentious politics.
Size-reduced bandpass filter using HMSIW and modified U-shaped DGS slot-pairs

This paper presents a bandpass filter using half-mode substrate integrated waveguide (HMSIW) and modified U-shaped defected ground structure (DGS) slot-pairs. As both loaded into HMSIW, the modified DGS, compared with the original one, can contribute to improving the upper-side selectivity and expanding the stopband. Measured results are in good agreement with the simulations. In comparison with several reported filters with similar techniques, proposed filter is with wider stopband and more compact size.
An ontology and rule based intelligent information system to detect and predict myocardial diseases

Elderly people have a high risk of myocardial diseases. Hence, here we propose an architecture for Ambient Assisted Living (AAL) and telemedicine that supports pre-hospital health emergencies, remote monitoring of patients with chronic conditions and medical collaboration through sharing health-related information resources. Furthermore, it is going to use medical data from vital signs for, on one hand, the detection of symptoms using a rule system based on Jess (tachycardia, arrhythmia …) and, on the other hand, the prediction of illness using chronobiology algorithms. This paper proposes a knowledge base to represent general human information, heart details and electrocardiogram parameters based on ontologies and a Jess' rule system to detect anomalies and patterns from electrocardiogram information. This solution has been tested by the research team's staff, using a wearable electrocardiogram.
Two-level logic minimization for low power

We study the problem of two-level logic minimization for low power in static CMOS circuits. We start by defining Power Prime Implicants (PPIs) which identify the set of all implicants that are sufficient and necessary for obtaining a minimum power solution. We then provide an efficient algorithm for generating the set of all PPIs of a function. The set of all PPIs is then used in a minimum covering problem to find the best power solution. The feasibility of generating the set of all PPIs and the increased complexity of solving the minimum covering problem are analyzed by deriving an upper bound on the expected number of PPIs which shows it to be linearly proportional to the number of prime implicants of the function. The results of our experiments are then used to draw conclusions on the effectiveness of low power two-level logic minimization.
An Improved Maximum Power Point Tracking Method for Wind Power Systems

This paper proposes an improved maximum power point tracking (MPPT) method for wind power systems. The proposed method combines hysteresis control with tip speed ratio (TSR) control using a power coefficient curve. It has fast dynamic characteristics with the TSR control using data obtained from an anemometer. Moreover it can track the maximum power point (MPP) with hysteresis control even when there is incomplete data. Since the proposed method selects the operating mode according to the operation state of the generator of three control modes, the controllers do not interfere with each other and they provide excellent performance. The effectiveness of the proposed algorithm is verified by simulation and experiments based on a 3 kW wind turbine system.
The differences of end users' cognitions on corporation strategic factors among four situations

For enterprises e-business, it is important to realize the relationships between business strategy and information system/technology (IS/IT) strategy from end users' perspectives. In this research, we analyze whether the differences are significant or not in end users' cognitions on corporation strategic factors among four situations divided by information system flexibility and information resource visibility. The results suggest that cognitions on the corporation strategic factors among four situations from IS/IT contexts are significantly different. We suggest that top managers pay more attention to understanding the differences of end users' cognitions among different situations in IS/IT contexts, in order to achieve alignment between IT/IS strategy and business strategy.
Design of a maximum power tracking system for wind-energy-conversion applications

A wind-generator (WG) maximum-power-point-tracking (MPPT) system is presented, consisting of a high-efficiency buck-type dc/dc converter and a microcontroller-based control unit running the MPPT function. The advantages of the proposed MPPT method are that no knowledge of the WG optimal power characteristic or measurement of the wind speed is required and the WG operates at a variable speed. Thus, the system features higher reliability, lower complexity and cost, and less mechanical stress of the WG. Experimental results of the proposed system indicate near-optimal WG output power, increased by 11%-50% compared to a WG directly connected via a rectifier to the battery bank. Thus, better exploitation of the available wind energy is achieved, especially under low wind speeds.
Work-Related Inequalities in Health

This book investigates work-related inequalities in health in Sweden from a sociological perspective. The focus is on income, aspects of the work environment, and sense of coherence. The aim is to study how these factors, individually or jointly, generate inequalities in cardiovascular disease, stroke, psychological distress and musculoskeletal pain. The studies are based on Swedish national survey data and registers during the period 1990- 2003. In general, the findings show that both income and work environment are important in generating health inequalities in the working population. Work environment contributes to the association between income and cardiovascular disease. The risk of stroke is higher for women and men in occupations with low job control than for those with high job control. A strong sense of coherence moderates the effect of physical work demands on musculoskeletal pain in both women and men. Thus the book, with its wide variety of component studies, provides a broad view of work-related inequalities in health.
A laboratory platform for teaching computer vision control of robotic systems

Nowadays, due to the involved complex issues, teaching robotics is demanding new methodologies. One of the complex issues regarding robotics is the use of computer vision for a proper robot guiding control. At the University of Brasilia an educational robotic workstation around a Rhino XR4 robot was built. Students can perform experiences on kinematics, trajectory generation and motion control. A new controller was further designed to introduce motion control by visual servoing. These new laboratory experiments allow implementation of various vision-based control schemes: position-based (3D), image-based (2D) and hybrid (21/2D). For visual servoing simulation experiments a robot wire-frame modeling scheme simulation RobSim was developed within the Matlab environment. The simulation environment is flexible regarding parameter adjustments for robot, camera, targets and workspace. As the simulation experiment becomes satisfactory, the experiment can then be performed with the robotic workstation. Primitive functions built on Matlab allow modeling and simulating a large class of manipulators.
Combining Structured Node Content and Topology Information for Networked Graph Clustering

Graphs are popularly used to represent objects with shared dependency relationships. To date, all existing graph clustering algorithms consider each node as a single attribute or a set of independent attributes, without realizing that content inside each node may also have complex structures. In this article, we formulate a new networked graph clustering task where a network contains a set of inter-connected (or networked) super-nodes, each of which is a single-attribute graph. The new super-node representation is applicable to many real-world applications, such as a citation network where each node denotes a paper whose content can be described as a graph, and citation relationships between papers form a networked graph (i.e., a super-graph). Networked graph clustering aims to find similar node groups, each of which contains nodes with similar content and structure information. The main challenge is to properly calculate the similarity between super-nodes for clustering. To solve the problem, we propose to characterize node similarity by integrating structure and content information of each super-node. To measure node content similarity, we use cosine distance by considering overlapped attributes between two super-nodes. To measure structure similarity, we propose an Attributed Random Walk Kernel (ARWK) to calculate the similarity between super-nodes. Detailed node content analysis is also included to build relationships between super-nodes with shared internal structure information, so the structure similarity can be calculated in a precise way. By integrating the structure similarity and content similarity as one matrix, the spectral clustering is used to achieve networked graph clustering. Our method enjoys sound theoretical properties, including bounded similarities and better structure similarity assessment than traditional graph clustering methods. Experiments on real-world applications demonstrate that our method significantly outperforms baseline approaches.
ANALYSIS OF THE OGLE MICROLENSING CANDIDATES USING THE IMAGE SUBTRACTION METHOD

The light curves of the OGLE microlensing can- didates have been reconstructed using the image subtraction method. A large improvement in the photometric accuracy has been found in comparison with previous processing of the data with DoPHOT. In the mean, the residuals to the fit of a mi- crolensing light curve are improved by a factor of 2 for baseline data points, and by a factor of 2.5 during magnification. The largest improvement was found for the OGLE #5 event, where we get an accuracy 7.5 times better than with DoPHOT. Despite some defects in the old CCD used during the OGLE I experi- ment, most of the time we obtain errors that are only 30% to 40% in excess of the photon noise. Previous experiment showed that with modern CCD chips (OGLE II), residuals much closer to the photon noise were obtained. The better photometric quality enabled us to find a low amplitude, long term variability in the OGLE #12 and OGLE #11 baseline magnitude. We also found that the shape of the OGLE #14 candidate light curve is quite inconsistent with microlensing of a point source by a point lens. A dramatic change in the light curve of the OGLE #9 candidate was also found, which indicates that very large biases can be present in data processed with DoPHOT. To conclude we made a detailed analysis of the blending issue. It is found that OGLE #5, OGLE #6 and OGLE #18 are very likely highly blended microlensing events. These events result from the magnifica- tion of a faint star that would have been undetectable without microlensing.
In vitro fusion of Acanthamoeba phagolysosomes. II Quantitative characterization of in vitro vacuole fusion by improved electron microscope and new light microscope techniques

To investigate the properties of phagolysosome (PL) fusion in Acanthamoeba homogenates, it was necessary to develop reliable methods for measuring in vitro PL fusion. The need to distinguish PL fusion from PL adhesion was met by the development of a quantitative electron microscope assay. Initial characterization of the fusion reaction by this method was followed by the development of a more rapid light microscope assay. Results obtained by the two methods were found to be in close agreement. By use of these new techniques, the in vitro PL fusion reaction was demonstrated to occur in a quantitatively reproducible manner. Under the present conditions employed, PL breakdown was not detected at any time during the in vitro incubation, while PL fusion was observed to proceed linearly for approximately 10 min, at which time the reaction ceased. Incubation of mixtures of two distinct PL types resulted in increases in hybrid PL types that were paralleled by decreases in nonhybrid PL types. The relative changes in PL concentrations observed were quantitatively consistent with PL fusion occurring randomly with respect to PL type. PL fusion was strongly inhibited by low concentrations of KF (50% inhibition at 2.7 mM), and by approximately tenfold higher concentrations of KCl, while KCN and 2,4-dinitrophenol (2,4-DNP) had little effect. In addition to further defining the nature of the PL fusion reaction in this system, these results demonstrate that, by use of the techniques described, quantitative study of the biochemical properties of this reaction is now possible.