Miracle-dz/UniFAR-FTUs huggingface dataset:
Synonymy and Antonymy Detection in Distributional Models

We present the Distributional Sentiment Hypothesis for detecting synonymy and antonymy in distributional models. The Distributional Sentiment Hypothesis states that synonyms and antonyms tend to occur in similar narrow distributional contexts, but are distinguished by their broader tonal contexts. We show that sentimental polarity features computed using standard sentiment analysis tool-kits outperform pattern-based and narrow-context approaches in the literature and thus affirm the validity of this hypothesis. We also introduce an unsupervised method based on this hypothesis.
Principled Weight Initialization for Hypernetworks

Hypernetworks are meta neural networks that generate weights for a main neural network in an end-to-end differentiable manner. Despite extensive applications ranging from multi-task learning to Bayesian deep learning, the problem of optimizing hypernetworks has not been studied to date. We observe that classical weight initialization methods like Glorot & Bengio (2010) and He et al. (2015), when applied directly on a hypernet, fail to produce weights for the mainnet in the correct scale. We develop principled techniques for weight initialization in hypernets, and show that they lead to more stable mainnet weights, lower training loss, and faster convergence.
University of Southern Denmark TIMP-1 is under regulation of the EGF signaling axis and promotes an aggressive phenotype in KRAS-mutated colorectal cancer cells A potential novel approach to the treatment of metastatic colorectal cancer

It is now widely accepted that therapeutic antibodies targeting epidermal growth factor receptor (EGFR) can have efficacy in KRAS wild-type advanced colorectal cancer (CRC) patients. What remains to be ascertained is whether a subgroup of KRAS-mutated CRC patients might not also derive benefit from EGFR inhibitors. Metalloproteinase inhibitor 1 (TIMP-1) is a pleiotropic factor predictive of survival outcome of CRC patients. Levels of TIMP-1 were measured in pre-treatment plasma samples (n = 426) of metastatic CRC patients randomized to Nordic FLOX (5-fluorouracil and oxaliplatin) +/− cetuximab (NORDIC VII study). Multivariate analysis demonstrated a significant interaction between plasma TIMP-1 protein levels, KRAS status and treatment with patients bearing KRAS mutated tumors and high TIMP-1 plasma level (> 3rd quartile) showing a significantly longer overall survival if treated with cetuximab (HR, 0.48; 95% CI, 0.25 to 0.93). To gain mechanistic insights into this association we analyzed a set of five different CRC cell lines. We show here that EGFR signaling induces TIMP-1 expression in CRC cells, and that TIMP-1 promotes a more aggressive behavior, specifically in KRAS mutated cells. The two sets of data, clinical and in vitro, are complementary and support each other, lending strength to our contention that TIMP1 plasma levels can identify a subset of patients with KRAS-mutated metastatic CRC that will have benefit from EGFR-inhibition therapy. Research Paper
Biodiversity of Pests in Grain Agrocenosis in Kabardino-Balkaria

The article studies the issues of resistance of winter wheat varieties selected by the State Center of grain n.a. P.P. Lukyanenko and the Institute of Agriculture of the KBRC of the RAS to pests. The studies were conducted in the steppe zone of Kabardino-Balkaria in the conditions of insufficient moisture in 2017-2018. Main diseases of winter wheat were identified, a valuable source material resistant to the main pathogens was isolated, and dominant diseases were established. The most adaptive, highly productive varieties of winter wheat were identified. The most ecologically plastic and stable varieties of winter wheat which can be used as donors were identified. Phytosanitary monitoring of the cotton moth was carried out in corn areas; phytophagous plants and the damage share were determined; progressive diseases were assessed; the species composition and frequency of pathogens were identified in grain areas.
On the study of noise in real street photographs

This work wants to be a new step on the study of noise in real images. The main contribution of this work is the presentation and creation of a new real noisy photographs dataset. The special characteristics of this dataset are that the pictures were taken in realistic conditions (in automatic mode) from different urban art spots. This dataset is composed of 32 scenes from where noisy and ​clean images are provided. In order to calculate the ​clean groundtruth image we have developed a pipeline to do so from the original raw data. Besides, we implemented a code that simulates the steps that a camera follows in order to get the final jpeg color image given the data captured by the sensor. Finally, we implemented a convolutional neural network that is able to estimate the noise in function of the pixel intensity that we trained using our dataset. Our goal is to provide to the computer vision community a new dataset with real noisy images that can be very useful for data driven algorithms and add new details on the discussion on how noise acts in nowadays digital cameras.
Running head: ATTITUDES AND MISINFORMATION

Misinformation—defined as information that is initially assumed to be valid but is later corrected or retracted—often has an ongoing effect on people’s memory and reasoning. We tested the hypotheses that (a) reliance on misinformation is affected by people’s pre-existing attitudes, and that (b) attitudes determine the effectiveness of retractions. In two experiments, participants scoring higher and lower on a racial prejudice scale read a news report regarding a robbery. In one scenario, the suspects were initially presented as being Australian Aboriginals, whereas in a second scenario, a hero preventing the robbery was introduced as an Aboriginal person. These critical, race-related pieces of information were later retracted. We measured participants’ reliance on misinformation in response to inferential reasoning questions. Results showed that pre-existing attitudes influence people’s use of attitude-related information, but not the way in which a retraction of that information is processed.
EFFECT OF CORPORATE GOVERNANCE ON RELATIONSHIP BETWEEN CORPORATE SOCIAL RESPONSIBILITY AND FIRM SIZES WITH EARNINGS MANAGEMENT

This study aims to empirically examine the influence of corporate social responsibility and firm size on earnings management, as well as how corporate governance influences the relationship between corporate social responsibility and firm size with earning management. The concept of earning management in this study adopted a model developed by Beneish (1999). Beneish implementation of M-Score Model will be modified and adjusted for firms in Indonesia. Beneish M-Score Model is developed to differentiate between manipulator and non-manipulator firms, using financial report element based on 8 ratio index. Agency theory (Jensen dan Meckling, 1976) implies the existence of information asymmetry. Information asymmetry arises when managers are more aware of internal information compared to the stakeholders. Gargouri et al. (2010) shows a positive relationship between corporate social responsibility with earning management, caused by expensive environmental activities. The results of Chih et al. (2008) study shows that companies with a high commitment to corporate social responsibility tend to do earning management. Based on positive accounting theory (Watts dan Zimmerman, 1986), earning management occurs because of political cost motives. Political costs include all costs that must be borne by the company related to government regulations, one of which is the tax burden. Large companies in a tax avoidance effort tend to reduce their profits. Lee and Choi (2002) states that firm size has a negative effect on earning management. In the other hand Rahmani and Mir (2013) states that firm size has a positive effect on earning management. The population in this study is based on manufacturing companies listed on the Indonesia Stock Exchange for the period 2013-2017, using a purposive sampling method with a specified criteria. The analysis technique uses statistical descriptive and Moderated Regression Analysis (MRA).
University of Southern Denmark Non-adherence to childhood hpv vaccination is associated with non-participation in cervical cancer screening – A nationwide danish register-based cohort study Badre-Esfahani,

• You may download this work for personal use only. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying this open access version If you believe that this document breaches copyright please contact us providing details and we will investigate your claim. Please direct all enquiries to puresupport@bib.sdu. dk
Effect of Metformin on a Preeclampsia-Like Mouse Model Induced by High-Fat Diet

Background Metformin has been reported to decrease insulin resistance and is associated with a lower risk of pregnancy-induced hypertension and preeclampsia. It is widely accepted that the placenta plays a crucial role in the development of preeclampsia. Our aim is to explore the effect of metformin on preeclampsia. Study Design We examined control diet-fed (isocaloric diet) pregnant mice (CTRL group), pregnant mice fed a high-fat diet (HF group), and high-fat-diet-fed pregnant mice treated with metformin (HF-M group). The HF mice were fed a high-fat diet six weeks before pregnancy to establish a preeclampsia-like model; then, the group was randomly divided into a HF group and a HF-M group after pregnancy. Blood pressure, urine protein, pregnancy outcomes, protein expression, and histopathological changes in the placentas of all groups were examined and statistically analysed. Results We observed that metformin significantly improved high blood pressure, proteinuria, and foetal and placental weights in the HF-M group compared with the HF group. Metformin significantly improved placental labyrinth and foetal vascular development in preeclampsia. In addition, metformin effectively increased matrix metalloproteinase-2 (MMP-2) and vascular endothelial growth factor (VEGF) levels in the placenta. Conclusions Our results suggest that metformin can improve preeclamptic symptoms and pregnancy outcomes.
Assessing irace for automated machine learning

Ferramentas automaticas de engenharia de algoritmos tem se tornado um recurso importante tanto para a academia quanto para a industria. Em geral, essas ferramentas funcionam com o uso de certos configuradores de algoritmos demonstravelmente eficientes, dentre estes, o irace. Nessa prova de conceito, avaliamos a aplicacao do irace ao campo de aprendizado de maquina (AM). Para isso, propomos um template composto de componentes do framework algoritmico sklearn, que nomeamos isklearn. Alem disso, definimos formalmente um espaco de configuracao e um setup experimental que permitem que o irace trate conjuntos de dados de AM como instâncias de um problema de otimizacao, fazendo do isklearn um sistema funcional de aprendizado de maquina automatizado. Resultados preliminares demonstram que irace e capaz de produzir modelos efetivos para tres dos maiores dominios de aplicacao de AM: visao computacional, processamento de linguagens naturais, e analise de series temporais.
Preference of nesting material by village weaver birds ( Ploceus cucullatus ) in University of Port Harcourt, Nigeria

The destructive nesting and feeding behaviour of Village Weavers is worrisome due to the detrimental nature to both agricultural production and scenic beauty of many environments. Preference of nesting material by Village Weaver birds ( Ploceus cucullatus ) in University of Port Harcourt, Nigeria was therefore studied for a period of two months (2 ndst March, 2017), using on-site surveys and observations, with the aim of investigating the nesting materials, colony size and spatial distribution of the species’ nest in the University of Port Harcourt. Data obtained were presented in frequency of counts and maps. Results showed that a total of Twenty three (23) trees of 9 species from eight families were colonized by Village Weavers and these trees had a cumulative number of 1414 active nests. Mangifera indica (576) was the most colonized tree species, followed by Terminalia mantaly (285) and Casuarina equisetifolia (272) while Dypsis lutescens (12) had the least numbers of nests. Twenty out of the twenty three trees used for nest support were in Human – inhabited areas. Materials for nest - building were sourced from a total of 20 plant species. The leaves and inflorescence were the parts of plants mostly used for nest – making. The survey showed that Village Weaver can use many plant species for nesting and nest support and preferred human – inhabited area as location. The use of plant species by Village Weavers is based on availability, however preference is made in the presence of many species . Mangifera indica is the most preferred nest – building support in Abuja campus, Casuarina equisetifolia in Choba campus and Terminalia mantaly at Delta campus. Some plant species such as Azadirachta indica (50%) and Terminalia catappa (24.07%) were neither used for nest building nor support by Ploceus Cucullatus but used for roosting. Village Weaver is a generalist feeder and highly adaptive –the species can share nest support with other species of bird. Keywords: Aves, Nest, Ornithology, Trees, Vermin control
Loop-Mediated Isothermal Amplification (LAMP) Test for the Detection of Neisseria gonorrhoeae in Urine Samples and the Tolerance of the Assay to the Presence of Urea. Running N. gonorrhoeae LAMP assay tolerance to urea

A loop mediated isothermal amplification (LAMP) assay for ORF1 of Neisseria gonorrhoeae was able to tolerate urea concentrations of 1.8M and below, compared with a PCR assay which was functional at concentrations of <100mM. The LAMP assay was as sensitive as the PCR assay, whilst faster and simpler to perform.
On Misspecification of Exponential Transition Models with GARCH Error Terms: The Monte Carlo Evidence

RÉSUMÉ) Smooth transition models have gained popularity in modeling economic and financial series due it ability to capture the non linearity in the data sets. However, misspecification could occur for some financial and economic series when white noise process is assumed for serially correlated error terms of a nonlinear model. This paper considers the effect of a first order serial correlation of the residuals on the nonlinear time series model by specifying variants of smooth transition model using the Monte Carlo simulation method. Correct specification is examined using Escribano and Jordá (EJP) specification procedure under various levels of nonlinearity and varying degree of standard deviation of the data. It was established that the power of misspecification of non linear model is a function of serial correlation of the residuals, the sample size, degree of nonlinearity and the standard deviation of the series. Correct model is specified at moderate values of standard deviation and serial correlations. There is a swamping effect of serial correlation when the sample size is small, but appears to be masked with increase in the transition parameter especially for larger sample sizes. Great caution must be exercised in non linear model specification as high degree of serial correlations in residuals lead to inconsistencies in the estimation of power of nonlinearity test. The results will serve as guide in empirical econometric and time series modelling. Int. Statistical Inst. : Proc. 58th World Statistical Congress, 2011, Dublin (Session CPS001) p.5912
Liming effects on reproductive growth and yield components of maize grown on an acid rainforest soil

Maize was planted on limed and unlimed plots to study the effect of soil acidity on reproductive growth and yield components of the crop in Owerri southeastern Nigeria. Eight (8) maize varieties (Factor A) and two lime levels (0 and 2 t ha -1 , Factor B) were arranged as a factorial experiment in a randomised complete block design with three replications. The number of days to 50 % anthesis and silking, anthesis-silking interval (ASI), physiological maturity and grain filling duration were measured to determine the effect on reproductive development. The effect on yield and yield components were determined by measuring the number of grain rows cob -1 , grains row -1 , grains cob -1 , weight of hundred seeds and grain yield. Soil acidity induced the distortion of the synchrony in maize flowering by a 45.9 % increase in ASI. This caused a reduction in yield components and ultimately reduced grain yield by 35.5 %. Among the varieties, AK 9928-DMRSR, OBA SUPER II and AMA TZBR C1 with ASI of 3.0, 4.0 and 4.0 days respectively, were the least affected by distortion of synchrony in flowering. These varieties also had the highest grain yield (3.3, 2.9 and 3.1 t ha -1 , respectively), greatest number of grains cob -1 (kernel number, 358, 327 and 339) and were therefore the best among this set of maize varieties under the prevailing acid soil conditions.
Short‐Term Effects of Cover Crops on Soil Microbial Characteristics and Biogeochemical Processes across Actively Managed Farms

M.S. Strickland, Dep. of Soil and Water Systems, Univ. of Idaho, Moscow, ID 83843; W.E. Thomason and B.D. Badgley, Dep. of Crop, Soil, and Environmental Sciences, Virginia Tech, Blacksburg, VA 24061; B. Avera, Soil and Crop Sciences Dep. , Colorado State Univ., Fort Collins, CO 80523; J. Franklin, Dep. of Microbiology and Molecular Genetics, Michigan State Univ., East Lansing, MI 48823; K. Minick, Dep. of Forestry and Environmental Resources, North Carolina State Univ., Raleigh, NC 27695; and S. Yamada, Dep. of Biological Sciences, Virginia Tech, Blacksburg, VA 24061.
Quadflieg, S., & Westmoreland, K. (2019). Making sense of other people’s encounters: Towards an Integrative Model of Relational Impression

Forming rapid impressions of other people’s social relations or obligations upon observing their interpersonal encounters from a third-person perspective is a ubiquitous activity of daily life. The psychological properties of this activity, however, remain poorly understood. Above all, it remains to be determined how accurate, consensual, and functional so-called encounter-based impressions can be. To inspire future research on these topics, the current article proposes a new conceptual framework referred to as the Integrative Model of Relational Impression Formation (IMRIF). This model brings together different strands of empirical investigation, and extends traditional impression formation theories, in order to argue that the psychological properties of encounter-based impressions are co-determined by four main attributes, namely content attributes, target attributes, perceiver attributes, and context attributes. Implications and limitations of the IMRIF are discussed with the aim of highlighting what is, and what is not yet, known about watching and judging other people’s encounters.
High power ultrasound as a nonthermal technology for microbial and enzymatic inactivation of juices.

Thermal techniques are the most widely used to ensure food safety of fruit juices. Nevertheless, the use of high temperature has negative effects, such as nutritional value decrease or the changes in organoleptic quality, It is important to highlight that consumers are increasingly demanding products with high quality and high nutritional value together with the food safety requirements. The aim of this work is, through a literature research, to review the state of the art of the use of High Power Ultrasound (HPU) as a non-thermal technology for the preservation of fruit juices. Thus, food safety objectives, HPU processing conditions, microbial and enzymatic inactivation, food quality and performance objectives, and the relationship between all of them are described and discussed.
A multi-class extension for case-based reasoning applied to medical problems: A first approach

Case-based reasoning (CBR) is a problem solving approach that uses past experience to tackle current problems. CBR has demonstrated to be appropriate for working with unstructured domains data or difficult knowledge acquisition situations, as it is the case of the diagnosis of many diseases. Some of the trends and opportunities that may be developed for CBR in the health science are oriented to reduce the number of features in highly dimensional data, as well as another important focus on how CBR can associate probabilities and statistics with its results by taking into account the concurrence of several ailments. In this paper, in order to adequately represent the database and to avoid the inconveniences caused by the high dimensionality, a number of algorithms are used in the preprocessing stage for performing both variable selection and dimension reduction procedures. Subsequently, we make a comparative study of multi-class classifiers. Particularly, four classification techniques and two reduction techniques are employed to make a comparative study of multi-class classifiers on CBR. Keywords— case based reasoning; high dimensionality; variable selection.
Self-assessment of managerial knowledge and skills of medical doctors in primary health care

Introduction: The aim of this paper was to evaluate the managerial knowledge and skills of mid-level managers – medical doctors in Medical center of the Canton Sarajevo.Methods: A cross-sectional study of the mid-level managers in the Medical center of the Canton Sarajevo was conducted using an originally developed questionnaire for self-assessment of managerial knowledge and skills. The respondents answered each of the questions using a 5-point Likert scale. Apart from the quantitative section, the respondents could present their observations concerning the educational needs in the health care system.Results: Almost 40% of the respondents said that the process of assessing health care needs is not conducted. No statistical significance was observed in the responses according to the length of service in a managerial position. In total, 41% of the respondents were not sure whether a plan exists, even though the development of these plans should be a principal managerial responsibility in the quality management. Managers who were longer in the position reported no plans for corrective actions. This result was in contrast with the answers obtained from the managers who were in the position for a shorter period. In addition, 91% of the respondents said that they regularly discuss problems with their employees.Conclusions: Self- assessment and assessment of managerial competencies should be regular activities in a health care organization, in order to monitor the knowledge and skills, as well as to make the development plans. The results of this study could serve as the basis for planning and developing the health management education in the Canton Sarajevo.
Ontology-based management of ancient "lettrines"

A large amount of historical documents have been digitized over the years. Browsing into these Cultural Heritage data can be done using query by keywords or query by example systems. Going from one kind of query to another raises the problem of the semantic gap. Identify region inside image could be needed. In order to deal with this problem, this paper presents an ontology-based approach to the resolution of the semantic gap problem that uses a semantic web approach with historical images. To do this, historians’ knowledge and knowledge from the document processing domain were modeled using dedicated ontologies. Then, links between the regions of interest from the computer vision algorithms on the one hand, and their meaning on the other hand, were created. These links will subsequently be used to help historians to search, query, analyze and enrich images dataset. Based on the three ontologies deﬁned or reused and combined in this approach, we have deﬁned rules to automatically annotate an image (to deﬁne the background for example), or a part of an image (to identify a letter, a body-part, .).