Miracle-dz/UniFAR-FTUs huggingface dataset:
Open process innovation: A multi-method study on the involvement of customers and consultants in public sector BPM

Open Process Innovation – drawing from the literature on Open Innovation and Business Process Management (BPM) – promotes the study of how to systematically make use of knowledge that lies outside of an organization’s boundaries for process innovation initiatives. Open Innovation has been heavily studied for product innovation, however, process innovation has not yet been researched from such perspective. Against this background, we seek to investigate into variables that impact on the qualities of Open Process Innovation taking the example of the public sector domain. This paper examines how personnel resource scarcity exerts influence on the involvement of i) customers (here citizens and local companies) and ii) consultants (here management and software consultants) in public sector BPM. Our multi-method analysis shows that personnel resource scarcity has consequences for BPM-related collaboration schema as it restricts the involvement of customers. Based on our findings, implications for theory and practice are discussed, including implications for studies on BPM maturity or on business process design. We call for a governance-theory perspective on process innovation as a fundamental basis for understanding and designing the institutions that shape collaboration in open process innovation.
A Hemophagocytic Lymphohistiocytosis Case with Newly Defined UNC13D (c.175G>C; p.Ala59Pro) Mutation and a Rare Complication

Hemophagocytic lymphohistiocytosis (HLH) represents a severe hyperinflammatory condition with cardinal symptoms of prolonged fever, cytopenias, hepatosplenomegaly, and hemophagocytosis by activated, morphologically benign macrophages with impaired function of natural killer cells and cytotoxic T lymphocytes. A 2-month-old girl, who was admitted with fever, was diagnosed with HLH and her genetic examination revealed a newly defined mutation in the UNC13D (c.175G>C; p.Ala59Pro) gene. She was treated with dexamethasone, etoposide, and intrathecal methotrexate. During the second week of treatment, after three doses of etoposide, it was noticed that there was a necrotic plaque lesion on the soft palate. Pathologic examination of debrided material in PAS and Grocott staining revealed lots of septated hyphae, which was consistent with aspergillosis infection. Etoposide was stopped and amphotericin B treatment was given for six weeks. HLH 2004 protocol was completed to eight weeks with cyclosporine A orally. There was no patient with invasive aspergillosis infection as severe as causing palate and nasal septum perforation during HLH therapy. In immuncompromised patients, fungal infections may cause nasal septum perforation and treatment could be achieved by antifungal therapy and debridement of necrotic tissue.
On minimum delay duty-cycling protocol in sustainable sensor network

To ensure sustainable operations of wireless sensor networks, environmental energy harvesting has been well recognized as one promising solution for long-term applications. Unlike in battery-powered sensor networks, we are targeting a duty-cycle adjustment to optimize the network performance, e.g., delay minimization, with full harvested energy utilization. In this paper, we introduce a set of duty-cycle adjustment schemes that will minimize cross traffic delay (CTD) in energy-harvesting sensor networks. We first present an offline solution by assuming that the link reliability and traffic distribution are known a priori. Based on the submodular property of the CTD function, we theoretically prove that a simple greedy algorithm can achieve constant approximation. We next propose a class of online algorithms that do not require the knowledge of link reliability and traffic distribution. For each of these algorithms, we give a theoretical bound on the performance. We have evaluated our design with a TelosB-based implementation and experimental results corroborate our theoretical analysis.
Understanding the Role of Organizational Culture for Design and Success of Enterprise Architecture Management

Enterprise architecture management is considered a valuable means to guide the consistent design and evolution of increasingly complex information systems. Despite existing research on EAM methods and models, organizations often face serious difficulties making EAM effective. The paper proposes to take organizational culture as a highly aggregated construct describing the context of EAM initiatives for building situational-or for that matter culture sensitive EAM methods-into account. We find that organizational culture significantly moderates the impact of EAM's design on EAM's success. In group culture, hierarchical culture and developmental culture it is essential to develop EAM from a passive into an actively designing approach to make it effective. Particularly in group culture it is rewarding to strive for an EAM approach that impacts stakeholders outside the IT department.
Filtered Gibbs sampler for estimating blocking in product form networks

The filtered Gibbs sampler (FGS) is a very simple yet efficient method of performance evaluation for a class of communication networks. This paper confirms that the FGS is considerably more efficient than the standard Gibbs sampler. It also shows that estimates of the accuracy of the results can be excessively optimistic, and presents a more conservative estimate. Keywords— Simulation techniques; maximum packing channel allocation
Value-Free Economics in Management and Engineering Education

In arguing that “economic analysis is wertfrei (value free)” Robbins contributed to the longdeveloping separation of economics from its parent discipline of moral philosophy. In the decades that followed publication of An Essay on the Nature and Significance of Economic Science, economics became, in the words of Amartya Sen, “self-consciously non-ethical”. Sen and others believe that there have been significant costs associated with this growing divide between economics and ethics, and it is conceivable that adherence to an extreme form of the wertfrei concept may have had unanticipated and negative consequences in related fields. We see some of these consequences in management and engineering education. Before his untimely death, Sumantra Ghoshal provided a withering critique of management education, focusing on the role that economics played in fostering an “ethically blind” approach to management. In engineering education, the value-free approach in economics threatens to further marginalize economics in current curricular initiatives related to engineering ethics. In this paper, I review the nature of the value-free doctrine and argue that Robbins‟s influence on the ethos of economics, specifically his strident advocacy of value-free analysis and a strict separation of ethics and economics, contributed to the development of an ethically blind approach in economics. Ultimately, and in homage to Sen, unintended consequences associated with this approach may impoverish not just economics and ethics, but other fields such as management and engineering education. JEL CLASSIFICATION: A20, Economics Education and Teaching of Economics B41, Economic Methodology
Towards a general-purpose query language for visualization recommendation

Creating effective visualizations requires domain familiarity as well as design and analysis expertise, and may impose a tedious specification process. To address these difficulties, many visualization tools complement manual specification with recommendations. However, designing interfaces, ranking metrics, and scalable recommender systems remain important research challenges. In this paper, we propose a common framework for facilitating the development of visualization recommender systems in the form of a specification language for querying over the space of visualizations. We present the preliminary design of CompassQL, which defines (1) a partial specification that describes enumeration constraints, and (2) methods for choosing, ranking, and grouping recommended visualizations. To demonstrate the expressivity of the language, we describe existing recommender systems in terms of CompassQL queries. Finally, we discuss the prospective benefits of a common language for future visualization recommender systems.
Intelligent e-Restaurant using Android OS

: The simplicity and ease of access of a menu are the main things that facilitate ordering food in a restaurant. A Tablet menu completely revolutionizes the patron’s dining experience. Existing programs provide an app that restaurants can use to feed their menus into iOS & Android based tablets and make it easier for the diners to flip, swipe & tap through the menu. We here aim to provide the restaurants with a tablet menu that would recommend dishes based on a recommendation algorithm which has not been implemented elsewhere. In addition to this we run the app on an Android based tablet & not on an iOS based tablet which is more expensive alternative. We use a cloud-based server for storing the database which makes it inexpensive & secure.
The Baryon Oscillation Spectroscopic Survey: Precision measurements of the absolute cosmic distance scale

BOSS, the Baryon Oscillation Spectroscopic Survey, is a 5-year program to measure the absolute cosmic distance scale and expansion rate with percent-level precision at redshifts z<0.7 and z~2.5. BOSS uses the "standard ruler" provided by baryon acoustic oscillations (BAO). BOSS will achieve a near optimal measurement of the BAO scale at z<0.7, with a redshift survey of 1.5 million luminous galaxies. It will pioneer a new method of BAO measurement at high redshift, using the LyA forest to 160,000 QSOs in the redshift range 2.1<z<3.0. The forecast measurement precision for angular diameter distance d_A is 1.0%, 1.0%, and 1.5% at z=0.35, 0.6, and 2.5, respectively, and the forecast precision for the Hubble parameter H(z) is 1.8%, 1.7%, and 1.2% at the same redshifts. These measurements will provide powerful constraints on the nature of dark energy and the curvature of space, complementing the constraints obtained from other probes. BOSS will also provide a superb data set for studying large- and small-scale clustering, the evolution of massive galaxies and the luminosity function and clustering of QSOs at 2.3 < z < 6.5. BOSS is one of four surveys that comprise SDSS-III (the Sloan Digital Sky Survey III), a 6-year program that will use highly multiplexed spectrographs on the 2.5-m Sloan Foundation Telescope to investigate cosmological parameters, the history and structure of the Milky Way galaxy, and the population of giant planet systems.
Influence of biomass burning and anthropogenic emissions on ozone, carbon monoxide and black carbon at the Mt. Cimone GAW-WMO global station (Italy, 2165 m a.s.l.)

Abstract. This work investigates the variability of ozone (O3), carbon monoxide (CO) and equivalent black carbon (BC) at the Italian Climate Observatory "O. Vittori" (ICO-OV), part of the Mt. Cimone global GAW-WMO station (Italy). For this purpose, ICO-OV observations carried out in the period January 2007–June 2009, have been analyzed and correlated with the outputs of the FLEXPART Lagrangian dispersion model to specifically evaluate the influence of biomass burning (BB) and anthropogenic emissions younger than 20 days. During the investigation period, the average O3, CO and BC at ICO-OV were 54 ± 3 ppb, 122 ± 7 ppb and 213 ± 34 ng m−3 (mean ± expanded uncertainty with p According to FLEXPART outputs, BB impact is maximized during the warm months from July to September but appeared to have a significant contribution to the observed tracers only during specific transport events. We characterised in detail five "representative" events with respect to transport scales (i.e. global, regional and local), source regions and O3, CO and BC variations. For these events, very large variability of enhancement ratios O3/CO (from −0.22 to 0.71) and BC/CO (from 2.69 to 29.83 ng m−3 ppb−1) were observed. CO contributions related with anthropogenic emissions (COant) contributed to 17.4% of the mean CO value observed at ICO-OV, with the warm months appearing particularly affected by transport events of air-masses rich in anthropogenic pollution. The proportion of tracer variability that is described by FLEXPART COant peaked to 37% (in May–September) for CO, 19% (in May–September) for O3 and 32% (in January–April) for BC. During May–September, the analysis of the correlation among CO, O3 and BC as a function of the COant indicated that ICO-OV was influenced by air-masses rich in anthropogenic pollution transported from the regional to the global scale. On the other side, CO and O3 were negatively correlated during October–December, when FLEXPART does not show significant presence of recent anthropogenic emissions and only a few observations are characterized by enhanced BC. Such behaviour may be attributed to an ensemble of processes concurrent in enhancing O3 with low CO (upper troposphere/lower stratosphere intrusions) and to O3 titration by NO in polluted air-masses along with lower photochemical activity. An intermediate situation occurs in January–April when CO and O3 were almost uncorrelated and BC enhancements were associated to relatively old (10 days) anthropogenic emissions.
Learning Generalized Features for Semantic Role Labeling

This article makes an effort to improve Semantic Role Labeling (SRL) through learning generalized features. The SRL task is usually treated as a supervised problem. Therefore, a huge set of features are crucial to the performance of SRL systems. But these features often lack generalization powers when predicting an unseen argument. This article proposes a simple approach to relieve the issue. A strong intuition is that arguments occurring in similar syntactic positions are likely to bear the same semantic role, and, analogously, arguments that are lexically similar are likely to represent the same semantic role. Therefore, it will be informative to SRL if syntactic or lexical similar arguments can activate the same feature. Inspired by this, we embed the information of lexicalization and syntax into a feature vector for each argument and then use K-means to make clustering for all feature vectors of training set. For an unseen argument to be predicted, it will belong to the same cluster as its similar arguments of training set. Therefore, the clusters can be thought of as a kind of generalized feature. We evaluate our method on several benchmarks. The experimental results show that our approach can significantly improve the SRL performance.
All your private keys are belong to us Extracting RSA private keys and certificates out of the process memory

This paper discusses a method to find and extract RSA private keys and certificates out of the process memory in a very reliable way. This method can be used by an attacker to steal sensitive cryptographic material. As a proof of concept an IDA Pro plugin as well as an exploit payload will be discussed. All your private keys are belong to us 2
A Performance Comparison of CUDA and OpenCL

CUDA and OpenCL are two different frameworks for GPU programming. OpenCL is an open standard that can be used to program CPUs, GPUs, and other devices from different vendors, while CUDA is specific to NVIDIA GPUs. Although OpenCL promises a portable language for GPU programming, its generality may entail a performance penalty. In this paper, we use complex, near-identical kernels from a Quantum Monte Carlo application to compare the performance of CUDA and OpenCL. We show that when using NVIDIA compiler tools, converting a CUDA kernel to an OpenCL kernel involves minimal modifications. Making such a kernel compile with ATI's build tools involves more modifications. Our performance tests measure and compare data transfer times to and from the GPU, kernel execution times, and end-to-end application execution times for both CUDA and OpenCL.
Socio-Technical Congruence in the Ruby Ecosystem

Existing studies show that open source projects may enjoy high levels of socio-technical congruence despite their open and distributed character. Such observations are yet to be confirmed in the case of larger open source ecosystems in which developers contribute to different projects within the ecosystem. In this paper, we empirically study the relationships between the developer coordination activities and the project dependency structure in the Ruby ecosystem. Our motivation is to verify whether the ecosystem context maintains the high socio-technical congruence levels observed in many smaller scale FLOSS (Free/Libre Open Source Software) projects. Our study results show that the collaboration pattern among the developers in Ruby ecosystem is not necessarily shaped by the communication needs indicated by the dependencies among the ecosystem projects.
Exploiting Task Relatedness for Multitask Learning of Bayesian Network Structures

We address the problem of learning Bayesian networks for a collection of unsupervised tasks when limited data is available and a metric of the relatedness of tasks is given. We exploit this valuable information about taskrelatedness to learn more robust structures for each task than those learned with a standard multitask learning algorithm. Our approach is the first network structure learning algorithm that addresses zero-data learning; where no training data is available for a task, but data for related tasks and information about how the tasks are related is given. This paper describes our Task Relationship Aware Multitask (TRAM) algorithm for learning Bayesian networks. The inputs to the algorithm are task-specific sets of data and an undirected graph representing a metric of task-relatedness. TRAM regularizes over the task-relatedness graph to output a network for each task, each of which is biased toward the structures of related tasks. We empirically compare, using synthetic and neuroimaging data, TRAM with three baseline methods and show that task-relatedness knowledge impacts all learning methods. Only TRAM effectively uses this knowledge to learn more robust structures.
An exploratory study: school social workers' perceptions of effective truancy interventions for African American high school students

SCHOOL OF SOCIAL WORK WHITE, GARRICK B.S.W. CLARK ATLANTA UNIVERSITY, 1994 M.S.W. UNIVERSITY OF PENNSYLVANIA, 1996 AN EXPLORATORY STUDY: SCHOOL SOCIAL WORKERS’ PERCEPTIONS OF EFFECTIVE TRUANCY INTERVENTIONS FOR AFRICAN AMERICAN HIGH SCHOOL STUDENTS. Advisor: Santa K. Davis, Ph.D. Dissertation dated July 2009 This embedded mixed methods study explored school social workers’ perceptions regarding the effectiveness of current truancy interventions, which truancy interventions are most effective in reducing truancy among African American high school students, and what makes the truancy interventions effective. The study population included school social workers from the state of Georgia who had at least one year of school social work practice with African American high school students. The independent variables were parental involvement, professional development for teachers, mentoring, collaboration with community partners and filing truancy petitions with the juvenile courts. To carry out the study, a questionnaire was used to collect the quantitative data and focus groups were facilitated to collect the qualitative data. Descriptive analysis (mean, central tendency) was used to analyze the quantitative data with a paired t-test to determine any significance between the degree of importance and effectiveness of the truancy interventions in general. Discussion was used to analyze the qualitative results of the study. The findings of the study reveal that all of the truancy interventions were generally rated as important and effective truancy interventions. However, mentoring was rated specifically, as the most effective truancy interventions to reduce truancy among African American high school students. Implications for policy and social work practice are discussed.
ALFALFA: The Search for (Almost) Dark Galaxies and their Space Distribution

The Arecibo Legacy Fast ALFA (ALFALFA) survey is designed to explore the z=0 HI mass function (HIMF) over a cosmologically significant volume. ALFALFA will improve on previous determinations of the HIMF by its combination of depth, wide area and centroiding accuracy, the latter allowing, in most cases, immediate identification of the optical counterpart to each HI signal. ALFALFA will detect hundreds of galaxies with HI masses less than 10**7.5 solar masses and also greater than 10**10.5 solar masses, and its final catalog will allow investigation of the dependence of the HIMF both on local density and on galaxy morphology. Already ALFALFA confirms previous suggestions that there is no cosmologically significant population of HI-rich dark galaxies. Fewer than 3% of all extragalactic HI sources and 10**9.5 solar masses cannot be identified with a stellar counterpart. Very preliminary results on the presence of gas-rich dwarfs in the void in front of the Pisces-Perseus supercluster suggest an underabundance of such objects compared to the predictions of numerical simulations. The objects with highest HI mass exhibit a range of morphologies and optical colors and surface brightnesses but all appear to be massive disk systems. The latter represent the population likely to dominate future studies of HI at higher redshift with the Square Kilometer Array.
Effects of Emotions on Sexual Behavior in Men with and without Hypersexuality

Abstract The association between positive and negative affect and sexual behavior in 39 MSM with and without hypersexuality (HS) was explored using ecological momentary assessment. Participants reported their current positive and negative affect three times per day and their sexual behavior each morning and evening. The relationship between affect and sexual behavior differed between men with or without HS. In those with HS, the timing of and interactions between experienced affect differentially predicted types of sexual behavior, indicating differing mechanisms driving partnered sexual behavior and masturbation. These findings lend support to conceptualizing HS behavior as a coping strategy for affective arousal.
Epidemiology and resistance mechanisms to imipenem in Klebsiella pneumoniae: A multicenter study

Four clinical isolates of imipenem-resistant Klebsiella pneumoniae were isolated from clinical patient specimens and from samples obtained from hygienic surveillance in our hospital. We examined their minimum inhibitory concentration (MIC) to various types of antibiotics, detected the carbapenemases by a modified Hodge test and analyzed the genotype and homogeneity. The enzyme, Klebsiella pneumoniae carbapenemase (KPC)-2, was detected in all four isolates and this was the main cause of their imipenem resistance. In addition, these four isolates also contained the extended-spectrum β-lactamase (ESBL) gene blaCTX-M-9 and the cephalosporinase (AmpC) gene blaDHA-1, which resulted in multidrug resistance.