Miracle-dz/UniFAR-FTUs huggingface dataset:
A comparative study on the reliability of co-authorship networks with emphases on edges and nodes

A scientific co-authorship network may be modeled by a graph G composed of k nodes and m edges. Researchers that make up this network may be interpreted as its nodes and the link between these agents (co-authored papers) as its edges. Current work evaluated and compared the reliability measure of networks with two emphases: 1) On nodes (perfectly reliable edges) and 2) On edges (perfectly reliable nodes). Specifically, the reliability of a fictitious co-authorship network at a given time t was analyzed taking into account, first, the reliability of nodes (researchers) equal and different, and, second, the reliability of edges (co-authorship relations), equal and different. Additionally, centrality measures of nodes were obtained to identify situations where the insertion of an edge significantly increased the reliability of the network. Results showed that the reliability of the co-authorship network focusing on edges is more sensitive to changes in individual reliabilities than the reliability of the network focusing on nodes. Additionally, the use of centrality measures was viable to identify possible insertions of edges or co-authorship relations to increase the reliability of the network in the two approaches.
Evaluating the Usefulness of DSM in Diagnosing Mental Health Problems: A Review of the Literature

Understanding the needs of indivudals with mental disabilities is really important in terms of improving quality of life, intervention and promotion. Diagnostic and Statistical Manual of Mental Disorders (DSM-V) is widely used book for mental health professionals in order to make diagnosis. The present study discusses the usefulness of DSM in diagnosing mental health problems by emphasizing it’s advantages and criticisms. This study used document analysis method in order to provide an overview and discussion of recent literature regarding advantages and criticisms of DSM. Various issues have been discussed and conclusions have been made based on the literature review of this study.
Data-adaptive Selection Of The Adjustment Set In Variable Importance Estimation

If estimates of the effect of a treatment variable on an outcome of interest are to be adjusted for a set of possible confounding factors, it is necessary to rely on the assumption of experimental treatment assignment (ETA) according to which each experimental unit has positive probability of being observed at any of the possible levels of the treatment variable regardless of the values the confounding factors may take on. Even if this assumption is only practically violated in the sense that certain values of the confounding factors cause some treatment levels to become not impossible, but at least highly unlikely, the adjusted variable importance parameter often becomes poorly identified in finite samples. We introduce an algorithm that is intended to make variable importance estimation more robust with respect to violations of the ETA assumption. Two different identifiability criteria are proposed for deciding when an adjusted variable importance parameter cannot be reliably estimated from the data. These criteria are then used to identify a maximal set of adjustment variables for which the ETA assumption appears reasonably well satisfied. A more efficient estimator of the parameter corresponding to the selected adjustment set is then sought by selecting from among estimators making use of even smaller adjustment sets by minimizing an estimate of the mean squared error for the selected parameter. A simulation study aimed at evaluating the benefits of this latter step suggests that it can lead to efficiency gains on the order of 100% if the ETA assumption is violated to some extent and to efficiency gains on the order of 35% if the ETA assumption is well approximated. The proposed algorithm is applied to the problem of identifying mutations in the protease enzyme of HIV that have an effect on virologic response to the commonly used antiretroviral drug lopinavir. While both unadjusted and fully adjusted analyses yield unsatisfactory results, the subset of significant mutations identified by the algorithm introduced here includes eight of the 12 known major lopinavir resistance mutations as well as two mutations that are thought to increase susceptibility to lopinavir. Two of the four major mutations not identified in our analysis occurred very rarely in our data set, giving the algorithm low power to detect any impact on virologic response. Recent in vitro experiments suggest that the other two major mutations not identified here may in fact be less important in determining lopinavir resistance than previously thought. The excellent agreement of the results reported here with current understanding of lopinavir resistance suggest that variable importance estimation based on data-adaptive selection of the adjustment set represents a promising new approach for studying the effects of HIV mutations on clinical virologic response to antiretroviral therapy as well as for biomarker discovery in general.
Cognitive Linguistics’ seven deadly sins

Cognitive Linguistics is an approach to language study based on three central premises: that the function of language is to convey meaning, that linguistic description must rely on constructs that are psychologically real, and that grammar emerges from usage. Over the last 40 years, this approach to studying language has made enormous strides in virtually every aspect of linguistic inquiry, achieving major insights as well as bringing about a conceptual unification of the language sciences. However, it has also faced problems, which, I argue, must be addressed if the approach is to continue to flourish. Some of these are shared with generative linguistics, while some are peculiar to the cognitive approach. The former include excessive reliance on introspective evidence; paying only lip service to the Cognitive Commitment; too much focus on hypothesis formulation (and not enough on hypothesis testing); ignoring individual differences; and neglecting the social aspects of language. The latter include assuming that we can deduce mental representations from patterns of use and equating distribution with meaning. I conclude by sketching out how these pitfalls could be avoided.
Corpus Consultation in L 2 Writing for In-service Teachers of English

Use of corpus has traditionally been of interest for syllabus designers and lexicographers. However, the recent paradigm shift in research on corpus has shifted to how corpus consultation may have an affect on the writing performance of L2 writers. In the study, using a repeated measures design, two groups of in-service English teachers were asked to write two compositions on two writing prompts where subjects were provided with online referencing at Concord Writer 2 to help writers solve their lexical and grammatical problems. When the writing products were rated, compositions from the post-training writing tasks showed significant improvements in vocabulary, but not for grammar. Comments made by raters in the written feedback for the compositions imply that L2 writers may notice their problems more immediately if the lexical and grammatical errors can be pointed out to them for independent corpus consultation. Results of the study indicate importance of training in online corpus consultation skills for the different types of errors that may occur during the process of writing. The study is expected to provide implications for training in online corpus consultation skills in L2 writing.
Abundance, biomass, composition and grazing impact of the sea-ice meiofauna in the North Water, northern Baffin Bay

The abundance, biomass, composition and grazing impact of the bottom sea-ice meiofauna were investigated in the North Water, High Arctic, during April and May 1998. Sampling was conducted on both pack ice and land fast-ice. At the lowermost 2 to 4 cm of the sea ice, chlorophyll a reached a maximum concentration of 55.7 mg m -2 . Sea-ice meiofauna were observed only at the ice bottom, and were composed of nematodes, copepods (harpacticoids and cyclopoids), crustacean nauplii, polychaete larvae and turbellarians. Total abundance of sea-ice meiofauna ranged from 0 to 34 500 ind. m -2 at the sampling stations. Nematodes were the most abundant taxon in the ice, with highest densities at a land fast-ice station. Highest abundances of copepods as well as crustacean nauplii were observed in the pack ice. The total sea-ice meiofauna biomass varied between 0 and 19.4 mg C m -2 . Potential ingestion rates, determined using allometric equations, indicated that sea-ice meiofauna never consumed more than 0.9% of the ice-algae standing stock and 5.7% of the daily ice-algae production. These calculations strongly suggest that the grazing impact of sea-ice meiofauna on ice algae was negligible in the North Water in early spring. The low standing stock of ice meiofauna also precludes their potential as an important food source for higher trophic levels. Meiofauna, therefore, appear to be a minor contributor to the overall carbon flow in the sea-ice biota of the North Water during spring.
Response of irrigation schedule, mulching and hydrogel on various growth analysis attributes and nutrient uptake of wheat (Triticum aestivum L.)

A field experiment was carried out during Rabi season of 2012-13 and 2013-14 at Varanasi to investigate the effects of irrigation schedules and moisture conservation practices on wheat (Triticum aestivum L.). The treatment combination were three irrigation schedule viz., no irrigation, one irrigation at CRI and two irrigation at tillering and flowering and six moisture conservation treatments viz., no hydrogel, 4t/ha mulch, 6 t/ha mulch, 2.5 kg hydrogel ha-1, 5.0 kg hydrogel ha-1 and 7.5 kg hydrogel ha-1 were compared with four irrigation at CRI, tillering, late jointing and milk stage as control. Application of two irrigations at tillering and flowering (I2) resulted in significant increase in CGR (g/m2/day), RGR (g/g/day), leaf area index and nutrient uptake by crop than I0 (no irrigation) and I1 (one irrigation) treatments during both the years. The maximum CGR (g/m2/day), RGR (g/g/day), leaf area index and nutrient uptake by crop were recorded with M6 (7.5 kg hydrogel/ha), which was significantly higher than remaining treatments at all stages but it was at par with M3 (6 t mulch/ha) and M5 (5 kg hydrogel/ha) at most of the growth stages among moisture conservation practices.
SEMANTIC WEB TECHNOLOGIES FOR THE FINANCIAL DOMAIN 3 2 . SEMANTIC TECHNOLOGIES FOR ECONOMIC AND FINANCIAL INFORMATION MANAGEMENT 2 . 1 Description

Data, information and knowledge management are key activities in modern economies, and considerable efforts and resources are devoted to them by organisations world-wide. An optimal handling of information assets is especially critical in the financial field, a conceptually rich domain where information is complex, huge in volume, and a highly valuable business product by itself, and where the exchange and integration of information for its posterior analysis is a key task for financial analysts. The volume, complexity and value of economic and financial information make finance a strategic area for research and innovation on information modelling, exchange and integration and, consequently, there is an increasing interest in evaluating what semantic technologies can contribute to this domain. In this chapter, we present two applications of semantic technologies to the financial domain, namely: a) the management of economic and financial information, and b) the building of explicit information models for the exchange of information in the investment funds market, comparing the use of XBRL and the use of semantic languages such as OWL. With the description and analysis of these applications, we shall attempt to illustrate and analyse the possibilities for exploiting semantic technologies in the financial domain, the achieved and expected benefits therein, and the problems and obstacles to be overcome in
The Key Amygdala-Hippocampal Dialogue for Adaptive Fear Memory

For centuries, philosophical and clinical studies have emphasized a fundamental dichot- omy between emotion and cognition, for instance between implicit/emotional memory and explicit/representative memory. However, in the last few decades, cognitive neuro- science has highlighted data indicating that emotion and cognition are in fact in close interaction and that reciprocal amygdalar-hippocampal influences underlie their mutual regulation. While supporting this view, the present chapter discusses experimental data indicating that the hippocampal and amygdalar systems not only regulate each other and their functional outcomes but also qualify specific emotional memory representations through specific activations and interactions. Specifically, we review consistent data unveiling a direct contribution of both the amygdala and septo-hippocampal system to the identification of the predictor of a threat in different situations of fear conditioning. Our suggestion is that these two brain systems and their interplay determine the selection of relevant emotional stimuli, thereby contributing to the adaptive value of emotional memory. Hence, beyond the mutual quantitative regulation of these two brain systems described so far, we propose that different configurations of the hippocampal-amygdalar network qualitatively impact the formation of memory representations, thereby producing either adaptive or maladaptive (e.g., PTSD-like) fear memories.
Methods for Fabricating Printed Electronics with High Conductivity and High Resolution

Flexible and printable electronics are attractive techniques which are believed to be widespread and occupy huge market. However, low conductivity, nozzle clog because of the accumulation of nano-particles and relative high cost (expensive silver/copper nanoparticle inks) limit its appeal. In this thesis, two new effective and convenient methods of fabricating copper patterns with high conductivity and strong adhesion on flexible photopaper and polymer substrates (PET) are demonstrated, solving all those problems. Functional photopaper and PET substrate was prepared with inkjet printing of a palladium salt solution and hyperthermal hydrogen induced cross-linking (HHIC) polyelectrolytes onto its surface respectively, followed by electroless deposition of copper, creating high quality flexible copper patterns on different substrates. The developed technique was successfully applied for fabricating functional flexible circuits such as radio frequency identification devices (RFID) antenna, micro-inductive coil and complex circuit board.
The Value Relevance of Intangible Assets and the Mandatory Adoption of IFRS

Using a sample of Italian publicly traded firms in the period of 1996-2006, we analyze whether and to what extent the mandatory adoption of IFRS has affected the value relevance of intangible assets. Prior literature has claimed that IFRS adoption should improve the quality of accounting information and reduce information asymmetries. We find a statistically significant decrease in the value relevance of intangible assets, and in particular of goodwill, after the IFRS adoption. In contrast, in the Italian setting investors’ evaluation of R&D expenditures seems not to be value relevant under either accounting standards.
Density estimation for nonnegative random variables

We propose a new type of non parametric density estimators fitted to nonnegative random variables. The estimators are constructed using kernels which are densities of empirical means of $m$ i.i. d. nonnegative random variables with expectation 1. The value $m^{-1/2}$ plays the role of the bandwidth. We study the pointwise Mean Square Error and a weighted global Mean Integrated Square Error and propose adaptive estimators for both local and global points of view. The risks of the adaptive estimators satisfy oracle inequalities. A noteworthy result is that the adaptive rates are in correspondence with the smoothness properties of the unknown density as a function on $(0,+\infty)$. Pointwise adaptive estimators are illustrated on simulated data.
Structural Modeling of Female Labour Participation and Occupation Decisions (First Draft)

Increasing female labour participation is an important aspect contributing to the development process in many emerging economies (see: Bourguignon, Fournier and Gurgand, 1998). Identifying the determinants of female labour participation decision improves our understanding of the dynamics of labour supply and its interaction with economic development. The present study aims to obtain the determinants of female labour participation and occupation decisions within a structural, utility-maximizing framework.
Regional Chlorophyll Retrieval Algorithms for North Sea Waters: Intercomparison and Validation

IVM, De Boelelaan 1087, 1081 HV Amsterdam, Netherlands (steef.peters at ivm.vu.nl) (2) BC, Max-Planck-Str. 1, D-21502, Geesthacht, Germany (3) MUMM, Gulledelle 100, B-1200 Brussels, Belgium (4) Mumm, Gulledelle 100, B-1200 Brussels, Belgium (5) GKSS, Max-Planck Str. , D-21502 Geesthacht, Germany (6) DMI, Lyngbyvej 100, 2100 KBH E Copenhagen, Denmark (7) PML, Prospect Place, Wets Hoe, PL1 3DH, Plymouth, United Kingdom (8) NIVA, Brekkeveien 19, P.O. Box 173, Kjelsaas, N-0411, Oslo, Norway (9) UIO, PO-box: 1022 Blindern; Moltke Moes Vei 31, N-0315, Oslo, Norway
The colonization of Bacilllus thuringiensis strains in bryophytes

Qiuqiu LIN, Pengli ZHU, Rebeca CARBALLAR-LEJARAZÚ, Ivan GELBIČ*, Xiong GUAN, Lei XU, Lingling ZHANG* Key Laboratory of Biopesticide and Chemical Biology, Ministry of Education, Fujian Agriculture and Forestry University, Fuzhou, Fujian, P. R. China Fujian-Taiwan Joint Center for Ecological Control of Crop Pests, Fujian Agriculture and Forestry University, Fuzhou, P. R. China Department of Molecular Biology and Biochemistry, University of California Irvine, Irvine, CA, USA Biology Centre of the Czech Academy of Sciences, Institute of Entomology, České Budějovice, Czech Republic
Antioxidant and Cytotoxic Activities of Cuphea hyssopifolia Kunth (Lythraceae) Cultivated in Egypt

Cuphea hyssopifolia Kunth (Family Lythraceae) is a herb, newly cultivated in Egypt. Its richness in phenolics had led to test for its antioxidant and cytotoxic activities and isolation of its components. Also it urges us to check for its genotyping. Isolation of some phenolics was done using usual chromatographic techniques. The genetic fingerprinting of the aerial parts of C. hyssopifolia Kunth was determined using RAPD-PCR (Random Amplified Polymorphic DNA) technique which has been widely used in plants for the construction of genetic maps using 10 primers. The antioxidant activity of the extract was measured using the stable free radical DPPH assay while its cytotoxic property was tested using different cell lines viz MCF7 (breast carcinoma cell line), HEP2 (larynx carcinoma cell line), HCT116 (colon carcinoma cell line) and HEPG2 (liver carcinoma cell line) adopting SRB method. Several compounds had been isolated from the aqueous methanolic extract of the aerial parts of C. hyssopifolia Kunth namely valoneic acid dilactone (1), 1,3−O−digalloyl-4-,6-hexahydroxydiphenoylβ-D−C1glucopyarnose (2), gallic acid (3), genistein-7-O-β-D-C1-glucopyranoside (4), myricetin−3 − O− β-D−C1glucopyarnoside (5), 3, 4, 5-trimethoxy benzoic acid (6), vanilice acid (7) and quercetin (8). Primer OPP-01 was the best sequence for dominating C. hyssopifolia Kunth cultivated in Egypt. The antioxidant activity of the extract showed an inhibition 95.5% compared to that of ascorbic acid 98.35%. The extract showed moderate cytotoxic activity with IC50 ranging from 73.4 to 92.5 ug/ml for the tested cell lines. The study suggests that C. hyssopifolia Kunth may be the potential rich source of natural antioxidant. Keyword: Antioxidant, Cuphea Hyssopifolia, Cytotoxic, Lythraceae, Phenolic Compounds, RAPD-PCR.
CONSTRUCTION OF A 3D MEASURABLE VIRTUAL REALITY ENVIRONMENT BASED ON GROUND PANORAMIC IMAGES AND ORBITAL IMAGERY FOR PLANETARY EXPLORATION APPLICATIONS

This paper presents a method of constructing a measurable virtual reality environment based on ground (lander/rover) panoramic images and orbital imagery. Ground panoramic images acquired by a lander/rover at different azimuth and elevation angles are automatically registered, seamlessly mosaicked and projected onto a cylindrical surface. A specific function is developed for inverse calculation from the panorama back to the original images so that the 3D information associated with the original stereo images can be retrieved or computed. The three-dimensional measurable panorama is integrated into a globe viewer based on NASA World Wind. The techniques developed in this research can be used in visualization of and measuring the orbital and ground images for planetary exploration missions, especially rover missions.
Interactive comment on “Evaluation of a Hierarchical Agglomerative Clustering Method Applied to WIBS Laboratory Data for Improved Discrimination of Biological Particles by Comparing Data Preparation Techniques” by

Hierarchical agglomerative clustering (HAC) analysis has been successfully applied to several sets of ambient data (e.g., Crawford et al., 2015; Robinson et al., 2013) and with respect to standardized particles in the laboratory environment (Ruske et al., 2017, 2018). Here we show for the first time a systematic application of HAC to a comprehensive set of laboratory data collected for many individual particle types using the wideband integrated bioaerosol sensor (WIBS-4A) (Savage et al., 2017). The impact of the ratio of particle concentrations on HAC results was investigated, showing that clustering quality can vary dramatically as a function of ratio. Six strategies for particle preprocessing were also compared, concluding that using raw fluorescence intensity (without normalizing to particle size) and logarithmically transforming data values (scenario B) consistently produced the highest-quality results for the particle types analyzed. A total of 23 one-to-one matchups of individual particles types was investigated. Results showed a cluster misclassification of < 15 % for 12 of 17 numerical experiments using one biological and one nonbiological particle type each. Inputting fluorescence data using a baseline +3σ threshold produced a lower degree of misclassification than when inputting either all particles (without a fluorescence threshold) or a baseline +9σ threshold. Lastly, six numerical simulations of mixtures of four to seven components were analyzed using HAC. These results show that a range of 12 %–24 % of fungal clusters was consistently misclassified by inclusion of a mixture of nonbiological materials, whereas bacteria and diesel soot were each able to be separated with nearly 100 % efficiency. The study gives significant support to clustering analysis commonly being applied to data from commercial ultraviolet laser/light-induced fluorescence (UV-LIF) instruments used for bioaerosol research across the globe and provides practical tools that will improve clustering results within scientific studies as a part of diverse research disciplines.
Urban Spaces, Disney-divinity and the Moral Middle Classes in Delhi

A presentation of an ethnography of the relationship between urban spaces, new cultures of consumption, the state, and the making of middle class identities in India. Firstly, the discussion explores the making of new urban spaces by focusing upon the Akshardham Temple complex on the banks of the Yamuna river in Delhi. Surrounded by a network of flyovers, highways, toll-ways, and residential developments, the complex is designed as a hi-tech religious and nationalist theme park. The Delhi government-sponsored bhagidari (sharing) scheme that brings together representatives of the Residents’ Welfare Associations, Market Traders Associations, and key government officials at periodically organised workshops forms the second site of focus.