Miracle-dz/UniFAR-FTUs huggingface dataset:
Policy Analysis of Community Empowerment Program in Terms of Good Governance Demand

The objective of this study is to analyze the fulfillment of the essence of good governance practice in the policy implementation of the Village Community Empowerment Program (PPMK) and National Self-reliant Community Empowerment Program (PNPM Mandiri), in Jakarta in 2007-2008. The study uses policy content methodology. The secondary data is collected from the policy content of Jakarta Community Empowerment Agency. The study reveals that both policies of the local and national community empowerment program in Jakarta in 2007-2008 still have weakness in terms of good governance practice. Many points are still unclear, and provide a chance of corruption, nepotism and collusion. The transparency, accountability, participation, and law enforcement are not potent. The study concludes that for the fulfillment of the good governance principles in the future, it is suggested to review the policy, and prepare a system, mechanism, and procedure that provide a quality assurance of the planning, preparation, and implementation of the PPMK and PNPM Mandiri program.
MULTIFRACTAL CHARACTERIZATION OF THE STOCK MARKET INEFFICIENCY USING THE WAVELET LEADERS METHOD

The multifractality degree in a set of developed and emerging stock market indices is studied using the Wavelet Leaders [S. Jaffard, Wavelet techniques in multifractal analysis, fractal geometry and applications: A jubilee of benoit mandelbrot, in: M. Lapidus et M. van A. FIGLIOLA, L. ZUNINO, E. SERRANO and O. A. ROSSO 2 Frankenhuijsen Eds., Proceedings of Symposia in Pure Mathematics, Providence AMS 72, Part 2, (2004), 91-151]. Recently, by means of the Multifractal Detrended Fluctuation Analysis (MFDFA) it was showed that the multifractality degree can be used as a quantifier to characterize the stage of market development of world stock indices [L. Zunino, B. M. Tabak, A. Figliola, D. G. Perez, M. Garavaglia and O. A. Rosso, A multifractal approach for stock market inefficiency, Physica A 387 (2008), 6558-6566; L. Zunino, A. Figliola, B. M. Tabak, D. G. Perez, M. Garavaglia and O. A. Rosso, Chaos, Solitons & Fractals, 2009, in press]. In the present work, we estimate the multifractal spectrum of signals having self-similar behavior using the Wavelet Leaders approach and compare it with the results obtained using MFDFA method in the analysis of eighteen developed and fourteen emerging stock markets.
Caregiver depression predicts early discontinuation of care for disabled elderly at home

Abstract This longitudinal study investigates the caregiving experiences among Japanese caregivers who provided informal care at home for disabled elderly between 1998 and 1999. Forty‐seven caregivers of the impaired elderly continued caregiving at home in Matsuyama Town, a rural area of northern Japan, while 18 caregivers discontinued it. The mean score of the Center for Epidemiologic Studies Depression Scale in 1998 among those who gave up caregiving was significantly higher than that of those who continued caregiving, indicating that depression predicts early discontinuation of care in the home. This is one of the few studies in Japan to suggest that initial caregiver depression is a factor in the decision to terminate care for the disabled elderly at home.
Investigating a comparative evaluation approach in explaining loyalty

Purpose The purpose of this paper is to examine the superiority of comparative evaluation or relative attitudinal measurement approach in which the respondent evaluates one object with direct comparison with other objects. The study uses comparative and non-comparative approaches to examine the effects of service quality, value, and customer satisfaction on attitudinal loyalty in a service setting. Design/methodology/approach The study uses the data collected from the survey of 300 customers of two large Indian banks. Findings The results provide partial support to the superiority of the comparative evaluation over non-comparative evaluation. Additionally, results indicate that service quality positively affects customer value, and both service quality and customer value have a direct positive effect on customer satisfaction. Customer satisfaction drives attitudinal loyalty which in turn leads to customers’ willingness to pay more. Research limitations/implications In the study, two banks were used for comparative evaluation. Since consumers’ consideration set can consist of more than two alternatives, future studies can include more than two objects. Practical implications Non-comparative measurements do not always adequately explain customer loyalty and superior performance of firms. This could potentially lead to misinterpretations of effects of service quality improvement programs and thus sub-optimal management decisions. Managers should use comparative evaluation approach for measuring marketing variables wherever possible. Originality/value Although the use of comparative evaluation is suggested in the literature (Dick and Basu, 1994), extant research has not systematically examined its superiority over non-comparative evaluation. This study empirically tests the comparative evaluation approach against the non-comparative approach by examining a comprehensive model involving the interrelationships among service quality, value, customer satisfaction, and their impact on attitudinal loyalty and willingness to pay more.
User identities across social networks: quantifying linkability and nudging users to control linkability

The Online Social Network (OSN) landscape has transformed significantly over the past few years with the emergence of networks. The primary capabilities of these online networks di↵er. Few of the major leading ones are: Relationship networks (Facebook), Media sharing networks (Instagram), Online reviews (Zomato), Discussion forums (Quora), Social publishing platforms (Twitter), etc. In order to avail these services, users end up creating multiple identities across these platforms. For each OSN, a user defines his identity with a di↵erent set of attributes, genre of content and friends to suit the purpose of using that OSN. Researchers have proposed numerous techniques to resolve multiple such identities of a user across di↵erent platforms. However, the ability to link di↵erent identities poses a threat to the users privacy; users may or may not want their identities to be linkable across networks. In this study, we model the notion of linkability as the probability of an adversary (who is part of the users network) being able to link two profiles across di↵erent platforms, to the same real user. The major factors that lead to increased linkability across social networks are similar profile attributes and cross posting across the social networks. To make users aware of the linkability across multiple social networks, as part of the thesis, we develop a framework, which assists the users to control their linkability. It has two components; a linkability calculator that uses three state-of-the-art identity resolution techniques to compute a normalized linkability measure for each pair of social network platforms used by a user, and a soft paternalistic nudge. The user configures the desired linkability score range for each pair of networks. There are two types of nudge: Attribute-driven Notification Nudge, which alerts the user through a pop-up notification if any of their activity violates their preferred linkability score range and Content-driven Color Nudge, which notifies the user by changing the color of the box bounding the post update from black to red if the content being posted by them is found to be similar to the content already posted by them on a di↵erent social network. We evaluate the e↵ectiveness of the nudge by conducting a controlled user study on privacy conscious users who maintain their accounts on Facebook, Twitter, and Instagram. Outcomes of user study confirmed that the proposed framework of providing nudge helped 75% of participants to take informed decisions, thereby preventing inadvertent exposure of their personal information across social network services. Also, the content driven color nudge refrained few participants from making post updates.
Nonperforming Loans in Banks – Are Managers Only Responsible?

Given the fact that Indian banking sectors are marred by the crisis of nonperforming loan, the study tries to find out the factors responsible for such crisis across ownership and size of the banks, using binomial multivariate panel logistic regression. Overall, it is found that regulatory measures such as CAR and economic growth such as credit to GDP ratio are irrelevant for probability of NPAs. Nevertheless, diversified sources of income and return on assets (ROA) help the banks to reduce their probability of loan assets becoming NPAs. On the other hand, loan size and provisioning contribute positively to probability of NPAs. As far as ownership is concerned, return on assets and diversification of sources of income help both the group of banks to trim the probability of NPAs. On the other hand, in both the cases probability of NPAs increases following the increase in credit to GDP ratio and provisioning. Further as far as bank size is concerned. ,return on assets (ROA) and diversified sources of income help the small size banks in downsizing the probability of NPAs, whereas only diversified sources of income helps the large size banks in this regard. However, for both large and small category banks, higher “Provisioning” is found to be positively related to higher probability of NPA. Credit to GDP ratio contributes to higher probability of NPAs in case of only large banks . On the whole for controlling NPAs, performance of managers may be given more emphasis rather than bringing out regulations.
The Light Matrix: An Interface for musical expression and performance

A prototype of the Light Matrix interface is presented here. At the core of this device is a rectangular array of Light Emitting Diodes (LED). Although designed to emit light, it is also possible for LEDs to function as crude photosensors. The Light Matrix exploits the bidirectional properties of the LED to create a light reflection based proximity sensor. The performer interacts with the device through hand movements in front of the LED sensor matrix. The potential of this device as an interface for real-time musical expression for computer based audio systems will be discussed along with its suitability as an instrument for live performance. Here the aspects of performativity covered include performer-instrument interaction and audience perception of the relationship between physical interaction and resulting sound.
Learning from the Ones that Got Away: Detecting New Forms of Phishing Attacks

Phishing attacks continue to pose a major threat for computer system defenders, often forming the first step in a multi-stage attack. There have been great strides made in phishing detection; however, some phishing emails appear to pass through filters by making simple structural and semantic changes to the messages. We tackle this problem through the use of a machine learning classifier operating on a large corpus of phishing and legitimate emails. We design SAFe-PC (Semi-Automated Feature generation for Phish Classification), a system to extract features, elevating some to higher level features, that are meant to defeat common phishing email detection strategies. To evaluate SAFe-PC , we collect a large corpus of phishing emails from the central IT organization at a tier-1 university. The execution of SAFe-PC on the dataset exposes hitherto unknown insights on phishing campaigns directed at university users. SAFe-PC detects more than 70 percent of the emails that had eluded our production deployment of Sophos, a state-of-the-art email filtering tool. It also outperforms SpamAssassin, a commonly used email filtering tool. We also developed an online version of SAFe-PC, that can be incrementally retrained with new samples. Its detection performance improves with time as new samples are collected, while the time to retrain the classifier stays constant.
Cholera in the 19 th century: Constructing epidemiological risk with complexity methodologies

Risk epidemic and complexity are linked by space and interactions. First, space matters in risk situations because of its ability to hold concurrently and simultaneously favorable conditions for a future emergence or re-emergence of epidemics. Second, space matters as a mediator of interactions, social as environmental, and at different levels. Risk is dynamic and its spatio-temporal dimension increases difficulties to catch it. Empirical data lack off precision to follow epidemiological outbreak. Complex system theory and connected methodologies can help us to enlighten this empirical failure. First, we present some knowledge about risk, health and complexity. Second we present social and spatial data based on the first epidemic of cholera in the city of Rouen, in 1832. Third we propose two models to explore the diffusion of this epidemic.
GutenTag: high-throughput sequence tagging via an empirically derived fragmentation model.

Shotgun proteomics is a powerful tool for identifying the protein content of complex mixtures via liquid chromatography and tandem mass spectrometry. The most widely used class of algorithms for analyzing mass spectra of peptides has been database search software such as SEQUEST. A new sequence tag database search algorithm, called GutenTag, makes it possible to identify peptides with unknown posttranslational modifications or sequence variations. This software automates the process of inferring partial sequence "tags" directly from the spectrum and efficiently examines a sequence database for peptides that match these tags. When multiple candidate sequences result from the database search, the software evaluates which is the best match by a rapid examination of spectral fragment ions. We compare GutenTag's accuracy to that of SEQUEST on a defined protein mixture, showing that both modified and unmodified peptides can be successfully identified by this approach. GutenTag analyzed 33,000 spectra from a human lens sample, identifying peptides that were missed in prior SEQUEST analysis due to sequence polymorphisms and posttranslational modifications. The software is available under license; visit http://fields.scripps. edu for information.
Bioinformatics Exploring the Plant Transcriptome through Phylogenetic Profiling 1 [ w ]

Publicly available protein sequences represent only a small fraction of the full catalog of genes encoded by the genomes of different plants, such as green algae, mosses, gymnosperms, and angiosperms. By contrast, an enormous amount of expressed sequence tags (ESTs) exists for a wide variety of plant species, representing a substantial part of all transcribed plant genes. Integrating protein and EST sequences in comparative and evolutionary analyses is not straightforward because of the heterogeneous nature of both types of sequence data. By combining information from publicly available EST and protein sequences for 32 different plant species, we identified more than 250,000 plant proteins organized in more than 12,000 gene families. Approximately 60% of the proteins are absent from current sequence databases but provide important new information about plant gene families. Analysis of the distribution of gene families over different plant species through phylogenetic profiling reveals interesting insights into plant gene evolution, and identifies speciesand lineage-specific gene families, orphan genes, and conserved core genes across the green plant lineage. We counted a similar number of approximately 9,500 gene families in monocotyledonous and eudicotyledonous plants and found strong evidence for the existence of at least 33,700 genes in rice (Oryza sativa). Interestingly, the larger number of genes in rice compared to Arabidopsis (Arabidopsis thaliana) can partially be explained by a larger amount of species-specific single-copy genes and species-specific gene families. In addition, a majority of large gene families, typically containing more than 50 genes, are bigger in rice than Arabidopsis, whereas the opposite seems true for small gene families.
The emergence of relative clauses in early child language

This paper examines the development of relative clauses in early child language. It is argued that relative clauses constitute a network of related constructions that children acquire in a piecemeal bottom-up way, starting with relative clauses that are only little different from simple sentences which are gradually extended into more complex grammatical patterns. The acquisition process is driven by pragmatic and cognitive factors that are involved in the process of language use. The analysis draws on previous research with Michael Tomasello supplemented by a new corpus investigation of children’s spontaneous relative clauses in English (cf. Diessel and Tomasello 2000, 2005; Diessel 2004, 2008; Brandt, Diessel, and Tomasello 2007). The paper reports the results of three studies. The first study is a corpus investigation of the external properties of children’s early relative clauses; the second study is an experimental study investigating the way children process the internal structure of English and German relative clauses; and the third study is another corpus study examining the meaning of children’s subject and object relative clauses.
Evo-devo aspects of classical and molecular data in a historical perspective.

We discuss the interplay between evolution and development as reflected in data and concepts since about 1800. Darwin and his "continental apostle" Haeckel put the striking similarity between early vertebrate embryos in an evolutionary context. Haeckel's partly illicit generalizations discredited evolutionary thinking among early experimental embryologists who moreover noted riddles incompatible with contemporary concepts of homology and evolution. Relevant solutions were suggested by the more recent concept of ontogenetic networks that embody complex regulatory properties and genes with partly overlapping functions. Molecular data on development increasingly reveal evolutionary opportunism, for instance when a widespread signaling chain involved in primitive immune defense was apparently recruited later on for dorso-ventral axis determination in some evolutionarily advanced insect groups. Recently, Rickettsia-related bacteria colonizing many arthropod species were found to "manipulate" the first steps of host development to the advantage of their own propagation, but by ways that could also promote host speciation. Molecular genetics can now document evolutionary steps in ontogenetic networks. In the fruit fly for instance, the novel bicoid gene has superseded a crucial patterning function within a pre-existing network--a case of "molecular caenogenesis. " The expression patterns of conserved genes that antagonistically determine dorso-ventral polarity support a literal revolution envisioned almost 200 years ago. This is the dorso-ventral inversion of the body plan in some metazoans--ascribed then to the Articulata, now to the Chordata. The final section posits that the opportunistic character of evolutionary innovations is detrimental to parsimony in development.
Cancer statistics in China, 2015

With increasing incidence and mortality, cancer is the leading cause of death in China and is a major public health problem. Because of China's massive population (1.37 billion), previous national incidence and mortality estimates have been limited to small samples of the population using data from the 1990s or based on a specific year. With high‐quality data from an additional number of population‐based registries now available through the National Central Cancer Registry of China, the authors analyzed data from 72 local, population‐based cancer registries (2009‐2011), representing 6.5% of the population, to estimate the number of new cases and cancer deaths for 2015. Data from 22 registries were used for trend analyses (2000‐2011). The results indicated that an estimated 4292,000 new cancer cases and 2814,000 cancer deaths would occur in China in 2015, with lung cancer being the most common incident cancer and the leading cause of cancer death. Stomach, esophageal, and liver cancers were also commonly diagnosed and were identified as leading causes of cancer death. Residents of rural areas had significantly higher age‐standardized (Segi population) incidence and mortality rates for all cancers combined than urban residents (213.6 per 100,000 vs 191.5 per 100,000 for incidence; 149.0 per 100,000 vs 109.5 per 100,000 for mortality, respectively). For all cancers combined, the incidence rates were stable during 2000 through 2011 for males (+0.2% per year; P = .1), whereas they increased significantly (+2.2% per year; P < .05) among females. In contrast, the mortality rates since 2006 have decreased significantly for both males (−1.4% per year; P < .05) and females (−1.1% per year; P < .05). Many of the estimated cancer cases and deaths can be prevented through reducing the prevalence of risk factors, while increasing the effectiveness of clinical care delivery, particularly for those living in rural areas and in disadvantaged populations. CA Cancer J Clin 2016;66:115–132. © 2016 American Cancer Society.
Otter's Method and the Homology of Homeomorphically Irreduciblek-Trees

Let T(k)ndenote the collection of trees withnk+2 labelled leaves which have the property that every internal node has degreemk+2 for somem? 1. Partially order the elements of T(k)nby definingT? SifTcan be obtained fromSby contracting some collection of internal edges. Then T(k)nis a Cohen? Macaulay poset with an action ofSnk+2. We show that the top homology of T(k)nas anSnk+2-module isformula]whereLie(k)Nis the action ofSNon the 1N-homogeneous piece of the free Liek-algebra. This generalizes the result obtained by Sarah Whitehouse W] in the casek=1.
Simulation of truck arrival process at a seaport: evaluating truck-sharing benefits for empty trips reduction

ABSTRACT Empty running of container trucks increases empty miles. With the aim of a reduction in the number of empty-truck trips, this study simulates the truck-sharing idea in a port and also evaluates the positive effects of the changes made. This study develops simulation models for the current process (the current truck arrival process in a seaport) and the proposed process (the idea of truck-sharing). The data for this study are provided by a local port. Simulation results are validated by using real-life data from the port. The simulation results confirm that the truck-sharing idea boosts port transport capacity, and that it can handle the increasing future truck volume effectively. The truck-sharing idea can also account for reduced emissions released from trucks in the port surroundings. The results of the simulation will be useful in persuading port authorities to evaluate truck-sharing initiatives. This study will assist port managers with replies to questions, such as ‘What impact will truck-sharing have on transport capacity expansion? ’
Plasma atrial natriuretic peptide concentration and renin activity during overhydration with 1.5% glycine solution in conscious sheep

We estimated the changes of fluid compartment volumes and concomitant effects on plasma atrial natriuretic peptide (ANP) and plasma renin activity (PRA) for up to 4 hr after intravenous infusion of 57 ml/kg of 1.5% glycine solution over 40 min in six conscious ewes. Infusions of the same volumes of isotonic saline served as controls.