Miracle-dz/UniFAR-FTUs huggingface dataset:
Species Distribution Models of Tropical Deep-Sea Snappers

Deep-sea fisheries provide an important source of protein to Pacific Island countries and territories that are highly dependent on fish for food security. However, spatial management of these deep-sea habitats is hindered by insufficient data. We developed species distribution models using spatially limited presence data for the main harvested species in the Western Central Pacific Ocean. We used bathymetric and water temperature data to develop presence-only species distribution models for the commercially exploited deep-sea snappers Etelis Cuvier 1828, Pristipomoides Valenciennes 1830, and Aphareus Cuvier 1830. We evaluated the performance of four different algorithms (CTA, GLM, MARS, and MAXENT) within the BIOMOD framework to obtain an ensemble of predicted distributions. We projected these predictions across the Western Central Pacific Ocean to produce maps of potential deep-sea snapper distributions in 32 countries and territories. Depth was consistently the best predictor of presence for all species groups across all models. Bathymetric slope was consistently the poorest predictor. Temperature at depth was a good predictor of presence for GLM only. Model precision was highest for MAXENT and CTA. There were strong regional patterns in predicted distribution of suitable habitat, with the largest areas of suitable habitat (> 35% of the Exclusive Economic Zone) predicted in seven South Pacific countries and territories (Fiji, Matthew & Hunter, Nauru, New Caledonia, Tonga, Vanuatu and Wallis & Futuna). Predicted habitat also varied among species, with the proportion of predicted habitat highest for Aphareus and lowest for Etelis. Despite data paucity, the relationship between deep-sea snapper presence and their environments was sufficiently strong to predict their distribution across a large area of the Pacific Ocean. Our results therefore provide a strong baseline for designing monitoring programs that balance resource exploitation and conservation planning, and for predicting future distributions of deep-sea snappers.
Misinformation in a riot: a two-step flow view

Purpose Misinformation, can have lasting impacts in the management and control of a public emergency. The purpose of this paper is to demonstrate how misinformation flows and how user characteristics can shape such flows in the context of a violent riot in Singapore. Design/methodology/approach We apply the two-step flow theory and discuss our mixed methods approach involving wrangling Twitter data and descriptive analysis to develop and analyse two corpuses of misinformation related to the riot Findings Our findings are mostly consistent with the two-step flow theory, in that misinformation flows to the masses from opinion leaders (as indicated by higher measures such as online social influence and followers/following ratio). In the presence of misinformation, tweets opposing such misinformation may not always come from opinion leaders Practical implications Our work furthers knowledge about how misinformation goes viral, which provides practical implications to help policy-makers and scholars in underst.
Evidence for mutational cis‐acting factors affecting mutagenesis in the ornithine transcarbamylase gene

Ornithine transcarbamylase (OTC; EC 2.1.3.3) is an urea cycle enzyme coded by a gene located at Xp21.1. The genetic deficiency is caused by a wide spectrum of pathological mutations, most of them occurring de novo. Using two (CA)n flanking markers of the OTC gene (DXS997 and DXS1068), we have defined the haplotypic background underlying 37 different mutational events and compared the results with a random sample of control chromosomes (N=141) from Iberia Peninsula. The allelic distribution of the (CA)n markers revealed significant differences between affected and non‐affected chromosomes. One particular haplotypic combination can be considered as a risk factor for carrying OTC mutations, with a relative risk of 13.3 (95% confidence interval 2.89–61.5, p=1.5 × 10−5). Since most of pathogenic OTC mutations are short‐lived or de novo, these findings strongly support the hypothesis that a specific haplotypic background confers a higher risk for mutation occurrence at this locus. © 2004 Wiley‐Liss, Inc.
Development of the Occupational Stressor Questionnaire of Civil Servants

Objective:To develop the Occupational Stressor Questionnaire of Civil Servants.Method:First- ly,based on the interview with some civil servants,a preliminary questionnaire including 73 items was developed. Then,432 subjects were investigated and item filter is finished based on the investigation.Finally,the reliability and validity of the questionnaire have been examined.Results:7 main factors were identified-official,duty,relation,task, quality,perfectionism,and career development,all of which could account for 52.378 per cent of the whole variance. The Questionnaire has good reliability and validity.Conclusion:the Occupational Stressor Questionnaire of Civil Servants is one valid tool for researches on the occupational stress of civil servants.
Identification of acquired antimicrobial resistance genes

Objectives Identification of antimicrobial resistance genes is important for understanding the underlying mechanisms and the epidemiology of antimicrobial resistance. As the costs of whole-genome sequencing (WGS) continue to decline, it becomes increasingly available in routine diagnostic laboratories and is anticipated to substitute traditional methods for resistance gene identification. Thus, the current challenge is to extract the relevant information from the large amount of generated data. Methods We developed a web-based method, ResFinder that uses BLAST for identification of acquired antimicrobial resistance genes in whole-genome data. As input, the method can use both pre-assembled, complete or partial genomes, and short sequence reads from four different sequencing platforms. The method was evaluated on 1862 GenBank files containing 1411 different resistance genes, as well as on 23 de-novo-sequenced isolates. Results When testing the 1862 GenBank files, the method identified the resistance genes with an ID = 100% (100% identity) to the genes in ResFinder. Agreement between in silico predictions and phenotypic testing was found when the method was further tested on 23 isolates of five different bacterial species, with available phenotypes. Furthermore, ResFinder was evaluated on WGS chromosomes and plasmids of 30 isolates. Seven of these isolates were annotated to have antimicrobial resistance, and in all cases, annotations were compatible with the ResFinder results. Conclusions A web server providing a convenient way of identifying acquired antimicrobial resistance genes in completely sequenced isolates was created. ResFinder can be accessed at www.genomicepidemiology. org. ResFinder will continuously be updated as new resistance genes are identified.
Speed Scaling to Trade-off Efficiency , Simplicity , Robustness and Fairness

1. Introduction Energy consumption is placing ever greater demands on most computing tasks, and multimedia is no exception. Current electronics can reduce its energy consumption by reducing the speed at which operations are performed, at the expense of a degraded user experience. Many techniques have been proposed for managing this trade-off, and a rigorous theoretical underpinning is beginning to emerge [1]-[9].
Ten Thousand Cents

Ten Thousand Cents is a digital artwork that creates a representation of a US $100 bill. Using a custom drawing tool, thousands of individuals working in isolation from one another painted tiny parts of the bill with no knowledge of the overall task. Workers were paid one cent each via Amazon's Mechanical Turk distributed labor tool. The total labor cost to create the bill, the artwork created, and the reproductions available for purchase are all $100. The work is presented as a video piece with all 10,000 parts being drawn simultaneously. The project explores the circumstances we live in, a new and uncharted combination of digital labor markets, "crowdsourcing," "virtual economies," and digital reproduction.
COLLECTION : TRANSLATIONAL IMPACT OF DROSOPHILA Fruit flies on the front line : the translational impact of Drosophila

Drosophila melanogaster has been adopted as one of the most-used model systems since it was first introduced by ThomasMorgan for the study of heredity in the early 20th century. Its experimental tractability and similarity of its biological pathways to those of humans have placed themodel at the forefront of research into human development and disease. With the ongoing accumulation of genetic tools and assays, the fly community has at its fingertips the resources to generate diverse Drosophila disease models for the study of genes and pathways involved in a wide range of disorders. In recent years, the fly has also been used successfully for drug screening. In this Editorial, we introduce a Special Collection of reviews, interviews and original research articles that highlight some of the many ways that Drosophila has made, and continues to make, an impact on basic biological insights and translational science.
Diagnosis of Usual Interstitial Pneumonitis in the Absence of Honeycombing: Evaluation of Specific CT Criteria With Clinical Follow-Up in 38 Patients.

OBJECTIVE We sought to evaluate specific CT criteria for the diagnosis of usual interstitial pneumonitis (UIP) in the absence of honeycombing. These criteria included peripheral reticulation and lobular distortion; some upper lobe involvement, but a lower zone predominance; a heterogeneous appearance with areas of normal lung, minimal reticulation, and substantial distortion alternating throughout the study and often on an individual image; a nonsegmental distribution; and traction bronchiectasis. MATERIALS AND METHODS We searched reports of CT studies performed between January 1, 2009, and January 1, 2012, to identify patients for whom UIP was a likely or probable diagnosis and reviewed the CT study for each case (n = 106). There were 38 patients who met all CT criteria and who also had a clinical diagnosis of idiopathic UIP (also known as idiopathic pulmonary fibrosis [IPF]) and follow-up of at least 6 months, as determined from the electronic medical record. We reviewed prior and subsequent CT examinations in this cohort. RESULTS The median age of our patients was 80 years, and the duration of clinical follow-up was 6-104 months (mean, 38 months; median, 37 months). For all patients, a pulmonary medicine physician made a working diagnosis of IPF. Fifteen patients died from pulmonary complications, and 16 of the surviving patients had clinical or functional progression of disease. There were no instances in which the initial diagnosis was revised or reversed. CONCLUSION Strict application of specific CT criteria may allow a specific diagnosis of UIP in the proper clinical setting in the absence of honeycombing.
Tolerant similarity search in graph database

In today's world, we come across number of problems which requires modeling the elements of these problems in the form of graph and then get the result by manipulating graphs. One of the operations on such graphs is finding graphs from the graph database that are similar to a particular query graph. There are number of problem statements where very large numbers of graphs need to be manipulated. In addition to this, these graphs are big in size, therefore efficient searching of similar graphs for a given query graph becomes a difficult task. In the literature, lots of work has been reported on graph edit distance (GED) as it is not restrictive to particular type of graph. Graph edit distance is error tolerant i.e. by adding tolerance limit in GED, similar graphs can be found even in the presence of noise. Most of the work is done for graph with no edge labels. There are graphs which exhibit some relationship between the vertices i.e. a labeled edge. In this paper, we propose an algorithm for computing edit distance's lower bounds for simple graph with labeled edges represented as star substructure. The proposed algorithm uses edge label & vertex label indexing and modifies inverted index based on substructures like star with labeled edges and edge substructure as substructure. A two-level inverted index is constructed and pre-processed to maintain a global similarity order for subunits and graphs in case of star.
Refinement and Use of the Approximate Similarity in QSAR Models for Benzodiazepine Receptor Ligands

Several considerations for refining the approximate similarity measurements have been introduced in this paper: the use of topological invariants for the calculation of similarity indexes and the development of new similarity correction processes. The quality of the new similarity measurements obtained with the proposed methods has permitted the development of fast, cheap, and simple quantitative structure-activity relationship models for the prediction of biological activities of nonbenzodiazepine gamma-aminobutyric acid(A)/benzodiazepine receptor ligands (58 compounds). Internal and external validations were carried out for the approximate similarity matrices computed using different approaches. Satisfactory results which compare reasonably well with a 3D approach were obtained: Q2= 0.65 and standard error in cross validation SECV= 0.83 for the training stage; r = 0.79 and error in external prediction = 0.82 for the test step. In addition, the method proposed was compared with other topological approaches based on constitutional similarity and on fingerprints. Satisfactory results were obtained.
Teachers as Hope Generators: Discovering Profession-as-Vocation in a Teacher Education Department

A couple of years ago I wrote a book in Dutch on spirituality and the professional life of the teacher (Roebben 2011). For the German translation I asked my former colleague, the practical theologian Norbert Mette, to write an endorsement. He came up with a full foreword to the book, in which he praised the risky style of my writing (Mette 2016). The book, Mette noted, should be seen as an invitation for readers to step away from the “normal,” generally accepted educational concepts and tools and to engage in another language game, the poetic one, which comes much closer to the story of the original vocation of the teacher. This insight touched on, and deeply affirmed, the reasons I wrote that book, reasons that were to my astonishment at that moment not yet clear to me. Mette was right about my intuition: in the book I wanted to address the person-within-the-teacher, the source of energy that makes the teacher “come alive”1 and drives him/her in generating hope in the daily encounter with young people. This semester I was reading the manuscript of the same book with master’s degree students in the Dortmund department of teacher education. And for the first time I became aware of the full impact of the book. A deeper spiritual reflection was leading us in the course work. I realized suddenly and with gradually increasing intensity what it meant to teach a course on teaching as a reflective teacher myself. What made me “come alive”? What was my source of inspiration and vocation? What drove me in my daily work with these particular students, becoming teachers themselves? The act of phronèsis, the hermeneutic work of understanding, so typical in an academic context, was shifting into an act of poèsis, a performative dis-covering of my own profession as a teacher educator (Walton 2014). I was no longer presenting an “out there” map of the teaching profession as a foreign
SQL-query Syntactic Optimization Based on the Local Model of the Controlled Process

This paper describes the data storage technology (relation databases) and the query language to these databases (Structured Query Language), which today are the basis of the all information systems evolution. The article contains the review of the existing techniques for SQL-query optimization. Mathematical expressions for the generation of possible SQL-query syntactic constructs are considered. The paper contains the main control characteristics of the dynamic objects under conditions of low apriori information, based on the local model of the controlled process. The new approach to automatic external syntactic optimization of the SQL-query is presented.
Effect of modified electroconvulsive therapy( MECT) on executive function of adolescent patients with schizophrenia

Objective To explore the effect of MECT on executive function of adolescent patients with schizophrenia. Methods 21 adolescent patients with schizophrenia treated with MECT from Mar 2010 to Dec 2012 in Wuxi Mental Health Center were involved in study group,and 22 adolescent patients with schizophrenia treated with one atypical antipsychotic at the same period of time were involved in control group. Patients in the two groups were assessed with Wisconsin Card Sorting Test( WCST) and Positive and Negative Symptom Scale( PANSS) at baseline and at the end of the treatment to evaluate the change of executive function and clinical severity. Results There were no significant differences in score of WCST and PANSS between two groups at baseline( P 0. 05). At the end of the treatment,total score and factor scores of PANSS in study group,as well as total score of PANSS and factor score of general psychopathology in control group decreased significantly when compared with baseline. Factor score of general psychopathology in PANSS,trails administered and preservative errors in WCST in study group were significantly lower than those in control group( t = 2. 07,2. 43 and 2. 17 respectively; P 0. 05). Conclusion MECT has no negative effect on executive function in adolescent patients with schizophrenia. It can elevate the therapeutic effect of antipsychotics when used as an adjunctive therapy.
Distributed spectrum sensing and access with secondary channel quality in cognitive radio networks

We consider a cognitive radio network where many secondary users compete with each other for a primary spectrum. The design objective is to determine, in each frame, which secondary user (SU) transmits data when primary user (PU) is idle. We propose a sensing and access scheme which is adopted in a fully distributed manner. First we assume that there is no sensing error and compare the average throughput of the proposed scheme with that of optimum. The performance of the proposed scheme if there is no sensing error has a feature similar to optimal case. And the performance is improved in a large network with much more secondary users. Next we analyze the performance of the proposed scheme if there is sensing error. Under imperfect sensing, the average throughput of the proposed scheme shows a different feature. The numerical examples show that there exists the optimal number of SUs and sensing duration to maximize the average throughput for a given target detection probability.
Scaling down constriction‐based (electrodeless) dielectrophoresis devices for trapping nanoscale bioparticles in physiological media of high‐conductivity

Selective trapping of nanoscale bioparticles (size <100 nm) is significant for the separation and high‐sensitivity detection of biomarkers. Dielectrophoresis is capable of highly selective trapping of bioparticles based on their characteristic frequency response. However, the trapping forces fall steeply with particle size, especially within physiological media of high‐conductivity where the trapping can be dissipated by electrothermal (ET) flow due to localized Joule heating. Herein, we investigate the influence of device scaling within the electrodeless insulator dielectrophoresis geometry through the application of highly constricted channels of successively smaller channel depth, on the net balance of dielectrophoretic trapping force versus ET drag force on bioparticles. While higher degrees of constriction enable dielectrophoretic trapping of successively smaller bioparticles within a short time, the ETflow due to enhanced Joule heating within media of high conductivity can cause a significant dissipation of bioparticle trapping. This dissipative drag force can be reduced through lowering the depth of the highly constricted channels to submicron sizes, which substantially reduces the degree of Joule heating, thereby enhancing the range of voltages and media conductivities that can be applied toward rapid dielectrophoretic concentration enrichment of silica nanoparticles (∼50 nm) and streptavidin protein biomolecules (∼5 nm). We envision the application of these methodologies toward nanofabrication, optofluidics, biomarker discovery, and early disease diagnostics.
Effect of Citrus grandis [L.] Osbeck on monoamine oxidase inhibitory activities and depressive behavioral assessment in mice

Introduction: Monoamine oxidase (MAO) is an enzyme that located in brain, liver at the outer membranes and oxidized monoamine neurotransmitters. MAO has two isoenzymes, MAO-A and MAO-B. MAO-A plays an important role in psychiatric disorder such as depression and MAO-B involved in neuronal diseases such as Parkinson’s disease (PD) and Alzheimer’s diseases (AD). Monoamine hypothesis, one of the most important causes in depressive disorder and MAO inhibitor is an antidepressant, which have many side effects. Nowadays we look for antidepressant from natural product in order to reducing the unwanted side effects and safety for long term treatment. Objective: This study aimed to investigate antidepressant-like effect of the native economic fruit in Thailand, pomelo (Citrus grandis (L.) Osbeck), on monoamine oxidase (MAO) inhibitory effect and using two acute animal models of depression, forced swimming test (FST) and tail suspension test (TST). Materials and Methods: Three cultivars of pomelo, Tubtim Siam (TS), Thong-dee (TD) and Kao-Nampueng (KN) were used in this study as monoamine oxidase (MAO) inhibitors. Mice were administered the pomelo extract (250, 500 mg/kg, p.o.) and a reference antidepressant, imipramine (IMP, 20 mg/kg, i.p.) 1 hour before starting FST and TST to analyze depression-like behavior in ICR mice (Statistic: One-Way ANOVA followed by the Student-Newman-Keulstest). Results: The results showed that 3 cultivars of pomelo including TS, TD and KN inhibited the MAO-A activity with the IC50 values of 721.20±0.26, 426.68±0.33 and 1080±1.01 μg/ml and MAO-B activity with the IC50 values of 68.31±0.97, 144.51±0.31 and 749.31±1.12 μg/ml, respectively. In addition, only TS significantly decreased the immobility time in mice when compare with control group in both TST and FST. Conclusion: The results of this study suggest that TS ameliorated depressive-like symptom and the possible mechanism may be involve in its inhibitory effect on monoamine oxidase enzymes.
Media Capture Through Favor Exchange

We use data from Hungary to establish two results about the relationship between the government and the media. (i) We document large advertising favors from the government to connected media, and large corruption coverage favors from connected media to the government. Our empirical strategy exploits sharp reallocations around changes in media ownership and other events to rule out market‐based explanations. (ii) Under the assumptions of a structural model, we distinguish between owner ideology and favor exchange as the mechanism driving favors. We estimate our model exploiting within‐owner changes in coverage for identification and find that both mechanisms are important. These results imply that targeted government advertising can meaningfully influence content. Counterfactuals show that targeted advertising can also influence owner ideology, by making media ownership more profitable to pro‐government connected investors. Our results are consistent with qualitative evidence from many democracies and suggest that government advertising affects media content worldwide.