nils-herrmann/clean_scirepeval huggingface dataset:
Compliance to guidelines for the prescribing of antibiotics in acute infections at Namibia's national referral hospital: a pilot study and the implications
Venue: Expert review of anti infective therapy
Year: 2017

Sub optimal antibiotic prescribing remains a public health concern in Namibia. The objective was to determine the level and predictors of compliance to guidelines in the prescribing of antibiotics in acute infections at a national referral hospital in Namibia to improve future prescribing.  An analytical cross sectional survey design. The clinical records of patients receiving care were reviewed. Prescribing practices were assessed using a self administered questionnaire with reference to Namibia Standard Treatment Guidelines (NSTG)  The majority of prescriptions (62% complied with the NSTGs; however, lower than national targets (95% Most prescriptions were empiric and prescribers typically made reference to the NSTG (58% Diagnosed infections were principally respiratory infections (58% and penicillins were the most used antibiotics. Good concurrence between signs and symptoms with the diagnosis indicated on the prescription OR=5.2 (95% CI: 1.4, 19.2) a diagnosis of upper respiratory tract (p=0.001) oral dental OR=0.1(95% CI: 0.03,0.3) and urogenital infections OR=0.3(95% CI: 0.1,0.95) and the prescribing of penicillins (p=0.001) or combination antibiotics and amphenicols were independent predictors of compliance to the NSTGs. The main behaviours associated with antibiotic prescribing were patient influences, clinical state, and access to guidelines.  Compliance with NSTGs is suboptimal. Prescribing of combination antibiotics, penicillins and diagnosis of oral dental, genitourinary and ear, nose and throat infections were important predictors for NSTG compliance. There is a need to implement antibiotic indicators and stewardship programmes, and ensure access to NSTGs, to improve future antibiotic prescribing in Namibia.
Streaming Adaptive Nonparametric Variational Autoencoder
Year: 2019

We develop a data driven approach to perform clustering and end to end feature learning simultaneously for streaming data that can adaptively detect novel clusters in emerging data. Our approach, Adaptive Nonparametric Variational Autoencoder (AdapVAE) learns the cluster membership through a Bayesian Nonparametric (BNP) modeling framework with Deep Neural Networks (DNNs) for feature learning. We develop a joint online variational inference algorithm to learn feature representations and clustering assignments simultaneously via iteratively optimizing the Evidence Lower Bound (ELBO) We resolve the catastrophic forgetting \citep{kirkpatrick2017overcoming} challenges with streaming data by adopting generative samples from the trained AdapVAE using previous data, which avoids the need of storing and reusing past data. We demonstrate the advantages of our model including adaptive novel cluster detection without discarding useful information learned from past data, high quality sample generation and comparable clustering performance as end to end batch mode clustering methods on both image and text corpora benchmark datasets.
KUALITAS PELAYANAN PUBLIK DI BIDANG PELAYANAN ADMINISTRASI KEPENDUDUKAN DI KECAMATAN CIMAHI TENGAH KOTA CIMAHI
Year: 2018

Penelitian ini bertujuan untuk mengetahui (1) Kualitas Pelayanan Publik Di Bidang Pelayanan Administrasi Kependudukan Di Kecamatan Cimahi Tengah Kota Cimahi. (2) Faktor pendukung dan faktor penghambat kualitas pelayanan publik di Kecamatan Cimahi Tengah Kota Cimahi.(3)Upaya untuk mengatasi hambatan hambatan Kualitas Pelayanan Publik di Bidang Pelayanan Administrasi Kependudukan di Kecamatan Cimahi Tengah.Metode penelitian ini adalah penelitian deskriptif dengan menggunakan pendekatan kualitatif. Teknik pengumpulan data yang dilakukan dengan teknik observasi,wawancara, dan dokumentasi. Teknikanalisis data yang digunakan adalah teknik analisis interaktif. Pemeriksa keabsahan data yaitu deangan menggunakan teknik trigulasi sumber. Adapun informan penelitian adalah kepala bagian umum, kepala bagian pelayanan, 3orang petugas pelayanan dan 3 orang pengguna layanan. Dari hasil penelitian menunjukan bahwa pelaksanaan kualitas pelayanan publik dilihat dari aspek bukti fisik, kehandalan, ketanggapan, jaminan, dan empati. Namun ada beberapa indikator yang belum sesuai dengan keinginan masyarakat antaralain (1) kurangnya jaminan tepat waktu dalam pelayanan, (2) pegawai kurang ahli dalam menggunakan alat bantu dalam proses pelayanan, (3) prasarana yang belum memadai Sedangkan Faktor pendukung ialah (1) kemudahan para pengguna layanan atau masyarakat dalam membuat data kependudukan (2) sikap petugas yang ramah,sopan dan tidak membeda bedakan pengguna layanan. Faktor penghambat ialah (1) jaminan tepat waktu yang masih belum sesuai dengan SOP. (2) kurang ahli dalam menggunakan alat bantu dalam proses pelayanan. (3)prasarana yang kurang memadai. Upaya untuk mengatasi penghambat Kualitas Pelayanan Publik yaitu (1) Para petugas yang belum ahli dalam menggunakan alat bantu dalam proses pelayanan perlu di beri pelatihan lagi baik pelatihan dari pihak kecamatan maupun pribadi masing masing (2)Petugas dalam memberikan jaminan tepat waktu dalam pelayanan seharusnya lebih profesional lagi dalam memperhatikan keperluan dalam pembuatan e KTP (3)mengenai sarana dan prasaranasebaiknya pegawai mengajukan pengadaan fasilitas penunjang pelayanan publik kepada Walikota Cimahi.
Attributing Conversions in a Multichannel Online Marketing Environment An Empirical Model and a Field Experiment
Year: 2014

Vol. LI (February 2014) 40 56 *Hongshuang (Alice) Li is a doctoral candidate in Marketing (hli2@ rhsmith. umd.edu) and P.K. Kannan is Ralph J. Tyser Professor of Marketing Science (pkannan@rhsmith.umd.edu) Robert H. Smith School of Business, University of Maryland, College Park. The authors acknowledge the support of Marketing Science Institute through its grant #4 1680 for this research. The authors also thank the reviewers for their suggestions to improve the article as well as David Godes, Yogesh Joshi, Rebecca Ratner, Roland Rust, Michael Trusov, Michel Wedel, and Jie Zhang for their comments on earlier versions. V. Kumar served as associate editor for this article. HONGSHUANG (ALICE) LI and P.K. KANNAN
LMA Observation of Upward Bipolar Lightning Flash at the Santis Tower
Venue: 2019 International Symposium on Lightning Protection (XV SIPDA)
Year: 2019

We present in this paper lightning current measurements and LMA (Lightning Mapping Array) data associated with an upward bipolar flash observed at the Santis Tower during the Summer of 2017. The polarity of the flash reversed during the negative initial continuous current phase by a positive pulse. The positive pulse was followed by two negative strokes. The positive pulse was presumably initiated in the lower positive region of the cloud where the positive end of a floating bidirectional leader connected to the lightning channel.
Exploiting hot spots; effective determination of lichen diversity in a Carpathian virgin forest
Venue: PloS one
Year: 2018

Although lichenized fungi are among the most reliable indicators of forest quality and represent a considerable part of forest biodiversity, methods maximizing completeness of their species lists per area are lacking. Employing a novel methodological approach including a multi expert competition and a search for local hot spot plots, we have obtained outstanding data about epiphytic lichen biota in a part of the largest Central European virgin forest reserve Uholka Shyrokyi Luh situated in Ukrainian Carpathians. Our field research consisted of two four day periods: (1) an overall floristic survey and a search for spots with raised lichen diversity, and (2) survey in four one hectare plots established in lichen diversity hot spots along an altitudinal gradient. Recorded alpha diversities in plots ranged from 181 228 species, but estimated species richness is in the range 207 322 species. Detected gamma diversity was 387 species; estimates are 409 484 species. 93% of the species found in the forest were recorded in plots, but only 65% outside the plots. This underlines the high efficiency of the multi expert competitive survey in diversity hot spot plots. Species richness in each one hectare plot was equal to the numbers of species obtained by floristic surveys of much larger old growth forest areas in Central Europe. Gamma diversity detected in the Uholka primeval forest far exceeded all numbers achieved in Central European old growth forests. Our method appears to be both effective (it obtains a more nearly complete inventory of species) and practical (the resources required are not unreasonably large)
Almacenamiento de zumo de clementina inoculado con Lactobacillus salivarius spp. salivarius (CECT 4063) efecto de la trehalosa y/o la homogeneizacion sobre la adhesion a la mucina intestinal y otras propiedades funcionales
Year: 2019

Probiotics are microorganisms that, when consumed in adequate amounts, have beneficial effects on the health of the host. To be included in foods, they must be considered as GRAS ingredients and meet certain criteria, including resisting manufacturing and storage processes and being able to adhere to the intestinal mucosa. Therefore, this study evaluates the effect that the growth medium (MRS Broth or commercial clementine juice) the addition of 10% (w/w) trehalose before inoculation and/or homogenization at 100 MPa after 24 h of incubation exert on the ability of L. salivarius spp. salivarius (CECT 4063) to adhere to the intestinal mucin, as well as on the functionality of the juice stored at 4 degC for 30 days. The results obtained confirm that clementine juice is a suitable medium for the growth of the probiotic microorganism, in addition to increasing its ability to adhere to the proteins of the intestinal mucosa, without the addition of trehalose or homogenization at 100 MPa or the combination of both factors exerting any effect on this property. On the other hand, it is established that the storage of fermented juice in the fridge at 4 degC should not take more than 15 days to maintain the condition of a probiotic drink. Generally, homogenization of the juice at 100 MPa after 24 h incubation with the microorganism is the best option to reduce the loss of viability of the microorganism during refrigerated storage. However, homogenization accelerates the degradation of phenolic compounds during storage and masks the protective effect of trehalose on them.
Application on Cold Chain Logistics Routing Optimization Based on Improved Genetic Algorithm
Venue: Automatic Control and Computer Sciences
Year: 2019

As the rise of fresh e supplier, cold chain logistic has become the hot topics in China. But due to its special timeliness, it is necessary to optimize its vehicle routing. Firstly, we construct a cold chain logistics vehicle routing optimization with soft time windows model. Secondly, as simple genetic algorithm has some shortcomings such as poor population diversity and slow convergence, we propose an improved genetic algorithm seeker genetic algorithm. By combining the uncertainty reasoning behavior in the seeker optimization algorithm and the nearest neighbor strategy, we improve the mutation operator in the genetic algorithm. Finally, we solve the cold chain logistics vehicle routing optimization model with basic genetic algorithm and seeker genetic algorithm respectively. The results indicate that seeker genetic algorithm could find the path with lower cost.
Emotional Intelligence in Older Adults: Psychometric Properties of Trait Meta Mood Scale
Year: 2018

Nowadays, ageing in a healthy way is one of the greatest challenges of our era. The management of emotions is a powerful predictor of psychological well being and health during all periods of life. However, to date, such evidence cannot be extended accurately to the older adult population since young adults have been the primary target of valid and reliable measures. Therefore the aim of this article is to analyse the validity and reliability of the Trait Meta Mood Scale (TMMS) in a sample of middle aged and older adults, and its relation to personality traits and subjective well being. Findings show that the TMMS represents a useful tool in examining social and psychological adjustment of older adults. The TMMS 22 will allow the analysis of emotional regulation development, explaining differences in psychosocial adaptation and perceived emotional competence. Finally, a TMMS for the older adult population is a complementary resource to the ability measures of EI and encourages increasing awareness of emotional abilities and self evaluation in an individual.
Air Toxics Under the Big Sky: examining the effectiveness of authentic scientific research on high school students' science skills and interest
Venue: International journal of science education
Year: 2016

Toxics Under the Big Sky is an environmental science outreach/education program that incorporates the Next Generation Science Standards (NGSS) 8 Practices with the goal of promoting knowledge and understanding of authentic scientific research in high school classrooms through air quality research. This research explored: (1) how the program affects student understanding of scientific inquiry and research and (2) how the open inquiry learning opportunities provided by the program increase student interest in science as a career path. Treatment students received instruction related to air pollution (airborne particulate matter) associated health concerns, and training on how to operate air quality testing equipment. They then participated in a yearlong scientific research project in which they developed and tested hypotheses through research of their own design regarding the sources and concentrations of air pollution in their homes and communities. Results from an external evaluation revealed that treatment students developed a deeper understanding of scientific research than did comparison students, as measured by their ability to generate good hypotheses and research designs, and equally expressed an increased interest in pursuing a career in science. These results emphasize the value of and need for authentic science learning opportunities in the modern science classroom.
GLOBALIZATION, MARKUPS, AND THE U.S. PRICE LEVEL
Year: 2010

This paper is the first attempt to structurally estimate the impact of globalization on markups and welfare in a monopolistic competition model. To achieve this, we work with a class of preferences that allow for endogenous markups and firm entry and exit that are especially convenient for empirical work the translog preferences, with symmetry in substitution imposed across products. Between 1992 and 2005 we find the U.S. market experienced a series of changes that confirm the predictions of Melitz and Ottaviano (2008) import shares rose and U.S. firms exited, leading to a fall in markups, while product variety and welfare went up. We estimate the impacts of these effects on a national level, and find a cumulative drop of 5.4 percent in merchandise prices and of 1.0 percent in overall consumer prices between 1992 and 2005. Although the magnitude of the welfare gains in our translog setup is similar to that obtained by assuming CES preferences, the sources of these gains are quite different. Variety gains under translog are at least one third smaller than in the CES case, but there is a substantial reduction in U.S. markups, resulting in a comparable welfare gain overall. Robert C. Feenstra Department of Economics University of California, Davis One Shields Avenue Davis, CA 95616 and NBER rcfeenstra@ucdavis.edu David E. Weinstein Columbia University, Department of Economics 420 W. 118th Street MC 3308 New York, NY 10027 and NBER
An Update on Survey Measures of Web Oriented Digital Literacy
Year: 2009

This article presents a test of a recently developed method for studying people's digital literacy. Self reported instruments pose a risk of misreporting by respondents. Participants in the study are presented with items that are used to construct a previously established digital literacy measure, interspersed with strategically developed bogus items, to test how the latter measure up against the former. The bogus terms score the least in comparison with other items suggesting that the majority of people do not make up their responses to these questions, thereby adding support to the utility of the formerly proposed instrument. Results also show a considerable discrepancy between familiarity of older Internet related terms and newer web based concepts offering a more nuanced instrument for studies of users' digital literacy.
Modeling and Reasoning with Bayesian Networks
Year: 2009

This book provides a thorough introduction to the formal foundations and practical applications of Bayesian networks. It provides an extensive discussion of techniques for building Bayesian networks that model real world situations, including techniques for synthesizing models from design, learning models from data, and debugging models using sensitivity analysis. It also treats exact and approximate inference algorithms at both theoretical and practical levels. The author assumes very little background on the covered subjects, supplying in depth discussions for theoretically inclined readers and enough practical details to provide an algorithmic cookbook for the system developer.
IoT and Fog Analytics for Industrial Robot Applications
Venue: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Year: 2020

The rapid development of IoT, cloud and fog computing has increased the potential for developing smart services for IoT devices. Such services require not only connectivity and high computing capacity, but also fast response time and throughput of inferencing results. In this paper we present our ongoing work, investigating the potential for implementing smart services in the context of industrial robot applications with focus on analytic inferencing on fog and cloud computing platforms. We review different use cases that we have found in the literature and we divide them into two suggested categories, "distributed deep models" and "distributed interconnected models" We analyze the characteristics of IoT data in industrial robot applications and present two concrete use cases of smart services where inferencing in a fog and a cloud architecture, respectively, is needed. We also reason about important considerations and design decisions for the development process of analytic services.
Projections From Octopus Cells of the Posteroventral Cochlear Nucleus to the Ventral Nucleus of the Lateral Lemniscus in Cat and Human
Year: 2012

Projections of octopus cells, which are located within the posteroventral cochlear nucleus, to globular cells within the contralateral ventral nucleus of the lateral lemniscus were studied in cat by means of anterograde filling of axons, by immunostaining cells, axons and nerve endings for calretinin, and by single unit electrophysiological record ings within the lateral lemniscus. Injections of biocytin into cut axons of the intermediate acoustic stria resulted in labeling of octopus cells ipsilateral to the injection and of large, complex nerve terminals (endbulbs) within the ventral division of the contralateral ven tral nucleus of the lateral lemniscus. Immunostaining for calretinin showed that octopus cells, their axons and endbulbs within the lateral lemniscus were positive. Single unit recordings within the portion of the lemniscal nucleus that contains endbulbs showed the characteristic electrical signature of cells that receive endbulbs (prepotentials) was asso ciated with cells whose activity in response to acoustic stimulation indicated that their inputs were from octopus cells. Immunostaining of human tissue indicated that octopus cells, their axons and complex endings within the ventral nucleus of the lateral lemniscus were positive for calretinin, which suggests that the projection of octopus cells found in cat is also present in human. Counts of globular cells, the probable recipients of end bulbs, in the ventral nucleus of the lateral lemniscus in human tissue indicated that these cells comprise 38% of the nucleus, as contrasted with 4% in cat. The results suggest that functions subserved by globular cells in this nucleus may play a dominant role in pro cessing acoustic stimuli in the human, whereas cells specialized for processing high fre quency sounds are more dominant in cat.
Vacancy and housing in Dublin: 1798 1911
Year: 2016

The related issues of vacancy, redundancy and dereliction in the city, raise questions about the conflict between private profit and social use, between exchange values and use values. This paper offers a typology of the causes and forms of vacancy and is the first attempt to map this phenomenon for nineteenth century Dublin. It also reviews some of the contemporary debates about the management of empty and decrepit buildings and sites. The charge of wastefulness was weighty and suggested strategies that are relevant yet today. These include compulsory purchase, a tax on emptiness, informal occupation, and the temporary appropriation of un used spaces for socially useful purposes
Determination of Chemical Composition and a Amylase Inhibitory Effect of New Propolis Extracts.
Venue: Combinatorial chemistry high throughput screening
Year: 2020

Propolis is a resinous mixture, collected by honeybees from tree bud and exudates of the plants. Propolis contains aromatic acids, diterpenic acids and phenolic compounds and these components are responsible for its antitumor, anticancer, antiviral and antifungal effects. Propolis should be extracted and the solubility of propolis differs depending on the solvent used. Solvents used for propolis extraction should solve the propolis and be nontoxic.  In this study, raw propolis was extracted by peppermint and clove volatile oil.  Chemical composition of extracts was determined by using GC MS equipment. Total phenolic content and antioxidant activity of the extracts was measured. a amylase inhibitory activity of the extracts was carried out as well.  The findings of the present study showed that clove volatile oil is more effective on extraction of propolis than peppermint volatile oil. Total phenolic content of these extracts was determined as 175.12 and 40.80 mg GAE/mL for clove and peppermint oil propolis extract respectively. All extracts contained the same phenolic compounds but less quantity in volatile oil extract than ethanol extract. Both of these extracts showed better a amylase inhibitory activity than a reference inhibitor, acarbose.  It could be concluded that propolis extract obtained by using volatile oils could be used as complementary agent in the treatment of type 2 diabetes mellitus.
Detection of Classifier Inconsistencies in Image Steganalysis
Venue: IH&MMSec
Year: 2019

In this paper, a methodology to detect inconsistencies in classification based image steganalysis is presented. The proposed approach uses two classifiers: the usual one, trained with a set formed by cover and stego images, and a second classifier trained with the set obtained after embedding additional random messages into theoriginal training set. When the decisions of these two classifiers are not consistent, we know that the prediction is not reliable. The number of inconsistencies in the predictions of a testing set may indicate that the classifier is not performing correctly in the testing scenario. This occurs, for example, in case of cover source mismatch,or when we are trying to detect a steganographic method that theclassifier is no capable of modelling accurately. We also show how the number of inconsistencies can be used to predict the reliability of the classifier (classification errors)