Miracle-dz/UniFAR-FTUs huggingface dataset:
ANALISIS LAPORAN PERTANGGUNGJAWABAN PELAKSANAAN APBD KOTA SEMARANG

Penelitian ini bertujuan untuk mendapatkan persepsi responden tentang pentingnya SAP 24, tahun 2005 dan tingkat kinerja pemerintah daerah dalam mengalokasikan APBD di Kota Semarang. Sampel penelitian ini terdiri dari staf DPKD di Semarang, Jawa Tengah. Setelah mendistribusikan kuesioner, ada 64 responden yang mengembalikan kuesionernya. Hasil studi menunjukkan bahwa tingkat kinerja dari semua PSAP (11 PSAP) dalam SAP 24, tahun 2005 lebih rendah daripada pentingnya SAP dan kinerja lembaga pemerintah tidak memuaskan. Abstract This study aims at getting the perception of respondents about the importance of SAP 24, 2005 and the performance of the local government in allocating the APBD in Semarang. The sample consists of the DPKD staff in Semarang, Central Java. After distributing the questioners, there were 64 respondents returned the questionaire back. The results of study show that the performance level of all of the PSAP (11 PSAP) in the SAP 24, 2005 is lower than the importance of SAP and the performance of goverment institution is dissatisfied. Keywords : importance level; performance level; SAP 24
ERNEST ORLANDO LAWRENCE BERKELEY NATIONAL LABORATORY On the Prediction of Large-Scale Dynami ~ s Using Unresolved Computations

We present a. theoretical fra.IIlework and numerical methods for predicting the large-scale properties of soiutions of partial differential equations that are too complex to be properly resolved. We assume that prior statistical information about the distribution of the solutions is available, as is often the case in practice. The quantities we can compute condition the prior information and allow us to calculate mean properties of solutions in the future. We derive approximate ways for computing the evolution of the probabilities conditioned by what we can compute, and obtain ordinary differential equations for the expected values of a set of large-scale variables. Our methods are demonstrated on two simple but instructive exa.IIlples, where the prior information consists of invariant canonical distributions
The majority of type 1 plasminogen activator inhibitor associated with cultured human endothelial cells is located under the cells and is accessible to solution-phase tissue-type plasminogen activator

The interactions between exogenously added tissue-type plasminogen activator (t-PA) and the active form of type 1 plasminogen activator inhibitor (PAI-1) produced by and present in cultured human umbilical vein endothelial cells (HUVECs) were investigated. Immunoblotting analysis of the conditioned media obtained from monolayers of HUVECs treated with increasing concentrations of t-PA (less than or equal to 10 micrograms/ml) revealed a dose-dependent formation of both t-PA/PAI- 1 complexes, and of a 42,000-Mr cleaved or modified form of the inhibitor. Immunoradiometric assays indicated that t-PA treatment resulted in a fourfold increase in PAI-1 antigen present in the conditioned media. This increase did not result from the release of PAI- 1 from intracellular stores, but rather reflected a t-PA-dependent decrease in the PAI-1 content of the Triton X-100 insoluble extracellular matrix (ECM). Although the rate of t-PA-mediated release of PAI-1 was increased by the removal of the monolayer, similar quantities of PAI-1 were removed in the presence or absence of the cells. These results suggest that the cells only represent a semipermeable barrier between ECM-associated PAI-1 and exogenous t-PA. Treatment of HUVECs with t-PA (1 microgram/ml, 2 h) to deplete the ECM of PAI-1 did not affect the subsequent rate of PAI-1 production and deposition into the ECM. Immunogold electron microscopy of HUVECs not only confirmed the location of PAI-1 primarily in the region between the culture substratum and ventral cell surface but failed to demonstrate significant (less than 1%) PAI-1 on the cell surface. Thus, the majority of PAI-1 associated with cultured HUVEC monolayers is present under the cells in the ECM and is accessible to solution-phase t-PA.
Correlates of depressive symptomatology among older community-dwelling Mexican Americans: the Hispanic EPESE.

OBJECTIVES The prevalence of depressive symptoms and associated risk factors is described, using data from the Hispanic EPESE, the first large, representative study of older Mexican Americans. METHODS Multivariate logistic regression was used to examine the association between depressive symptoms and sociodemographics, chronic health conditions, disability, and cultural factors. RESULTS Using the Center for Epidemiologic Studies of Depression scale, 25.6% of the 2,823 subjects reported high symptom levels. Rates among women (31.9%) and particularly men (17.3%) were higher than has been typically reported for older Mexican Americans and older adults in general. Consistent with previous studies of older adults, gender, lack of insurance, financial strain, chronic health conditions, and disability were found to be associated with depressive symptoms. Several cultural factors were also associated with increased risk, including immigrant status, levels of acculturation and assimilation, health locus of control, and recency of immigration. An interaction between gender and immigrant status was found such that, in relation to subjects born in the United States, female immigrants were at significantly higher risk for depressive symptoms, whereas male immigrants were at lower risk.
Speculative Attacks, Private Signals and Intertemporal Trade-Offs

Confronted with a speculative attack on its currency peg, an authority weighs the short-term benefit of giving in and fine tuning the economy against the long-term benefit of credibility-enhancing resistance. In turn, speculators with heterogeneous beliefs face strategic uncertainty that peaks at the time of the attack, when the fate of the peg is unclear, and then declines, as the economy settles in a stable currency regime. In this environment, a less conservative authority - i.e. one that stabilises less the exchange rate once a peg is abandoned - may be more likely to withstand an attack on the peg. This result, which strengthens as speculators' risk aversion declines, casts doubt on the conventional wisdom that greater conservatism enhances welfare.
Data-intensive science: The Terapixel and MODISAzure projects

We live in an era in which scientific discovery is increasingly driven by data exploration of massive datasets. Scientists today are envisioning diverse data analyses and computations that scale from the desktop to supercomputers, yet often have difficulty designing and constructing software architectures to accommodate the heterogeneous and often inconsistent data at scale. Moreover, scientific data and computational resource needs can vary widely over time. The needs grow as the science collaboration broadens or as additional data is accumulated; the computational demand can have large transients in response to seasonal field campaigns or new instrumentation breakthroughs. Cloud computing can offer a scalable, economic, on-demand model that is well matched to some of these evolving science needs. This paper presents two of our experiences over the last year — the Terapixel Project, using workflow, high-performance computing and non-structured query language data processing to render the largest astronomical image for the WorldWide Telescope, and MODISAzure, a science pipeline for image processing, deployed using the Azure Cloud infrastructure.
Experiences of patients and healthcare professionals of NHS cardiovascular health checks: a qualitative study

Background NHS Health Checks are a national cardiovascular risk assessment and management programme in England and Wales. We examined the experiences of patients attending and healthcare professionals (HCPs) conducting NHS Health Checks. Methods Interviews were conducted with a purposive sample of 28 patients and 16 HCPs recruited from eight general practices across a range of socio-economic localities. Interviews were audio recorded, transcribed, anonymized and analysed thematically. Results Patients were motivated to attend an NHS Health Check because of health beliefs, the perceived value of the programme, a family history of cardiovascular and other diseases and expectations of receiving a general health assessment. Some patients reported benefits including reassurance and reinforcement of healthy lifestyles. Others experienced confusion and frustration about how results and advice were communicated, some having a poor understanding of the implications of their results. HCPs raised concerns about the skill set of some staff to competently communicate risk and lifestyle information. Conclusions To improve the satisfaction of patients attending and improve facilitation of lifestyle change, HCPs conducting the NHS Health Checks require sufficient training to equip them with appropriate skills and knowledge to deliver the service effectively.
Parallel Pairwise Clustering

Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogeneous clusters. However, since the input size is quadratic in the number of data points, existing algorithms are non feasible for many practical applications. Here, we propose a simple strategy to cluster massive data by randomly splitting the original affinity matrix into small manageable affinity matrices that are clustered independently. Our proposal is most appealing in a parallel computing environment where at each iteration, each worker node clusters a subset of the input data and the results from all workers are then integrated in a master node to create a new clustering partition over the entire data. We demonstrate that this approach yields high quality clustering partitions for various real world problems, even though at each iteration only small fractions of the original data matrix are examined and at no point is the entire affinity matrix stored in memory or even computed. Furthermore, we demonstrate that the proposed algorithm has intriguing stochastic convergence properties that provide further insight into the clustering problem.
Millimeter Wave Propagation Measurements and Modeling in Hospital Environments Thesis Instructor: Title: Millimeter Wave Propagation Measurements and Modeling in Hospital

and Technology aalto university school of science and technology abstract of the master's thesis Applications of wireless technologies in medical treatments have been considered for realizing portable medical equipment and remote monitoring. The 60 GHz band can theoretically oer very high data rates for such applications, but the propagation characteristics of hospital environments have not been studied. Based on preliminary measurements in a shielded room, the propagation characteristics can be expected to be dierent compared to regular indoor environments. As a part of a feasibility study of 60 GHz radio systems, propagation channel measurements were performed in two dierent hospital environments, an angiog-raphy room and an ultrasonic inspection room. In this work, path loss and delay domain analysis were made based on the measurement data. Obtained power delay proles were used to develop delay domain channel models. The path loss of both hospital environments was found to be similar to common indoor environments. However, the delay domain characteristics of the two rooms turned out to be quite dierent from each other. Based on this, dierent models were developed for the environments. ympäristöille kehitettiin oma kanavamalli. 4 Preface I would like to thank my instructor, Mikko Kyrö and my supervisor, Pertti Vainikainen for all the helpful advice. Thanks to my unocial supervisor, Katsuyuki Haneda for all of his help and for getting me involved in this project. Thanks to the Radio Laboratory in general for giving me the opportunity to work there for the past year. Also thanks to my family for all the support and understanding during the work.
Agrin Regulates Neuronal Responses to Excitatory Neurotransmitters in Vitro and in Vivo


Agrin mediates motor neuron-induced differentiation of the postsynaptic apparatus of the neuromuscular junction but its function in brain remains unknown. Here we report that expression of c-fos, induced by activation of nicotinic or glutamatergic receptors, was significantly lower in cortical neurons cultured from agrin-deficient mutant mouse embryos compared to wildtype. Agrin-deficient neurons also exhibited increased resistance to excitotoxic injury. Treatment with recombinant agrin restored glutamate-induced c-fos expression and excitotoxicity of the agrin-deficient neurons to near wild-type levels, confirming the agrin dependence of the phenotype. The observation that c-fos induction by activation of voltage-gated Ca2+ channels is also reduced in agrin-deficient neurons raises the possibility that agrin may play a wider role by regulating responses to Ca(2+)-mediated signals. Consistent with the decline in response of cultured mutant neurons to glutamate, decreases in kainic acid-induced seizure and mortality were observed in adult agrin heterozygous mice. Together, these data demonstrate that agrin plays an important role in defining neuronal responses to excitatory neurotransmitters both in vitro and in vivo.
Radical Embedding: Delving Deeper to Chinese Radicals

Languages using Chinese characters are mostly processed at word level. Inspired by recent success of deep learning, we delve deeper to character and radical levels for Chinese language processing. We propose a new deep learning technique, called “radical embedding”, with justifications based on Chinese linguistics, and validate its feasibility and utility through a set of three experiments: two in-house standard experiments on short-text categorization (STC) and Chinese word segmentation (CWS), and one in-field experiment on search ranking. We show that radical embedding achieves comparable, and sometimes even better, results than competing methods.
Climate Change Vulnerability and Policy Support

Climate scientists note that the effects of climate change vary regionally. Citizen willingness to absorb the costs of adaptation and mitigation policies may correspond with these place-specific effects. Geographic information systems (GIS) analytic techniques are used to map and measure survey respondents' climate change risk at various levels of spatial resolution and precision. Spatial data are used to analyze multiple measures of climate change vulnerability along with demographic, attitudinal, and perception-based variables derived from a representative national survey of U.S. residents to predict variation in support for interventionist climate change policies. Ordinary Least Squares (OLS) regression results show that objective risk measures explain a modest amount of variation in our dependent variable. The effect of risk perception on climate policy support is far more robust. Of all variables examined, the extent to which citizens regard climate change as threatening to their material well-being drives support for costly climate change policies.
A Resource-Based View of Strategic IT Alignment: How Knowledge Sharing Creates Competitive Advantage

A critical decision problem for top management, and the focus of this study, is whether the CEO (chief executive officer) and CIO (chief information officer) should commit their time to formal planning with the expectation of producing an information technology (IT)-based competitive advantage. Using the perspective of the resource-based view, a model is presented that examines how strategic IT alignment can produce enhanced organizational strategies that yield competitive advantage. One hundred sixty-one CIOs provided data using a postal survey. Results supported seven of the eight hypotheses. They showed that information intensity is an important antecedent to strategic IT alignment, that strategic IT alignment is best explained by multiple constructs which operationalize both process and content measures, and that alignment between the IT plan and the business plan is significantly related to the use of IT for competitive advantage. Study results raise questions about the effect of CEO participation, which appears to be the weak link in the process, and also about the perception of the CIO on the importance of CEO involvement. The paper contributes to our understanding of how knowledge sharing in the alignment process contributes to the creation of superior organizational strategies, provides a framework of the alignment-performance relationship, and furnishes several new constructs.
New evidence rekindles the hormone therapy debate

In a now well-publicized series of events during 2002 and 2003, the Women’s Health Initiative (WHI) and other randomized controlled trials (RCTs) designed to examine the links between post-menopausal hormone therapy (HT) and the prevention of chronic disease were terminated prematurely. The estrogen plus progestin arm of the WHI was terminated when a global health index indicated overall harm and a significantly higher breast cancer risk for the treatment group,1 and the estrogen arm was stopped because of an increased risk of stroke in the absence of evidence of cardioprotection.2 Expectations that HT would be beneficial for the prevention of heart disease were not borne out by the RCT results. In contrast to most observational studies that reported lower rates of coronary heart disease (CHD) for long-term users of HT, RCTs suggested no reduction or an increased incidence. In particular, estimates of the relative risk of CHD associated with HT use from the estrogen arm of the WHI suggested no cardiovascular benefit, whereas those from the estrogen plus progestin trial indicated excess risks of a magnitude of 1.2 to 1.3. 1, 3. ] These conflicting findings generated a huge response from the public, researchers and clinicians. Recent evidence regarding the sources of discrepancy between the observational studies and the RCTs provides us with a timely opportunity for a fresh perspective on the HT controversy. These analyses, which have received far less publicity than the initial WHI findings, oblige us to both examine the implications for the exalted status of RCTs vis-a-vis observational research and consider when and how to disseminate the revised findings to women and clinicians.
A scalable, efficient and informative approach for anomaly‐based intrusion detection systems: theory and practice

In this paper, we present the design and implementation of a new approach for anomaly detection and classification over high speed networks. The proposed approach is based first of all on a data reduction phase through flow sampling by focusing mainly on short lived flows. The second step is then a random aggregation of some descriptors such as a number of SYN packets per flow in two different data structures called Count Min Sketch and Multi‐Layer Reversible Sketch. A sequential change point detection algorithm continuously monitors the sketch cell values. An alarm is raised if a significant change is identified in cell values. With an appropriate definition of the combination of IP header fields that should be used to identify one flow, we are able not only to detect the anomaly but also to classify the anomaly as DoS, DDoS or flash crowd, network scanning and port scanning. We validate our framework for anomaly detection on various real world traffic traces and demonstrate the accuracy of our approach on these real‐life case studies. Our analysis results from online implementation of our algorithm over measurements gathered by a DAG sniffing card are very attractive in terms of accuracy and response time. The proposed approach is very effective in detecting and classifying anomalies, and in providing information by extracting the culprit flows with a high level of accuracy. Copyright © 2010 John Wiley & Sons, Ltd.
Nonprofits and Advocacy: Engaging Community and Government in an Era of Retrenchment

When the Susan G. Komen foundation pulled funding for Planned Parenthood's breast exam program, the public uproar brought new focus to the high political and economic stakes faced by nonprofit organizations. The missions of 501(copyright)(3) and 501(copyright)(4) organizations, political action committees, and now Super PACs have become blurred as issues of advocacy and political influence have become increasingly entangled. Questions abound: Should a nonprofit advocate for its mission and its constituents with a goal of affecting public policy? What are the limits of such advocacy work? Will such efforts fundamentally jeopardize nonprofit work? What can studies of nonprofit advocacy efforts reveal? Editors Robert J. Pekkanen, Steven Rathgeb Smith, and Yutaka Tsujinaka recognize the urgent need for relevant research and insight into these issues as direct and indirect government services are squeezed by federal cutbacks. Nonprofits and Advocacy defines advocacy and clarifies the differences among advocacy, lobbying, political activity, and education, as well as advocacy measurements. Providing original empirical data and innovative theoretical arguments, this comparative study is organized into two parts. The first part focuses on local and national dimensions of nonprofit advocacy, and the second part looks at organizational politics and strategies. The conclusion considers basic questions about nonprofit advocacy and seeks to draw lessons from research efforts and practice. Providing a critical look at the multidimensional roles and advocacy efforts of nonprofits, this volume will be valued by scholars, students, leaders, and activists-many of whom advocate for the interests of their organizations while delivering services to their organizations' constituents. The research is also relevant for policymakers involved in cross-sector public policy initiatives as they strive to provide more efficient public-private solutions to challenging governance issues.
Fringe Finance: Crossing and Contesting the Borders of Global Capital

Chapter 1. Finance at its Centre and its Edges, Part 1-Sites of Conversion Chapter 2. Mapping the Logics of Expansion: The Globalization of Payday Lending, Chapter 3. The Financialization of Micro-Credit, Chapter 4. Bodies at/of Risk: Micro-Insurance and the Vulnerable Life Course, Part 2-Fringe Finance as a Social Practice, Chapter 5. Making Regular: Fringe Lending as a Formal Practice, Chapter 6. From Inclusion to Adverse Incorporations, Chapter 7. Economies of Social Practice: Creating Alternative Circuits of Financial Incorporation
Unionization and Firm Performance: The Impact on Profits, Growth and Productivity

This paper examines the impact of unionization on profit- ability, growth and productivity using time series data on over 900 product line businesses in the North American manufacturing sector (predominantly U.S.). The first section of the paper develops a simple theoretical framework for studying the effect of the union on firm performance. A key result of this analysis is that information about union wage and productivity effects is not sufficient to permit prediction of the sign (or magnitude) of consequent changes in the rate of return on capital; one must know the parameters of production and demand. Expanding the model to allow for the effects of market structure and alternative bargaining regimes establishes the need to examine several indicators of firm performance in assessing the impact of the union. The empirical analysis reveals sizeable negative union effects on profitability, but growth, productivity and the capital-labor ratio appear to be little affected by unionization in this data. The data are thus consistent with a model of union-firm interaction in which collective bargaining affects the distribution of profits, but leaves real magnitudes unchanged. The evidence suggests, however, that unionization may have longer term implications for efficiency since the impact on profitability appears to fall most heavily on firms with relatively little market power.