Miracle-dz/UniFAR-FTUs huggingface dataset:
Prevalence of Tonsillar Actinomycosis in Tonsillectomy Specimens; Clinical Importance and Management

Ad dress for Cor res pon den ce Poopak Izadi MD, Shahed University, Department of Otorhinolaryngology, Tehran, Iran Phone: +98 218 896 94 37 E-mail: popakizadi@yahoo.com ORCID ID: orcid.org/0000-0001-9683-9959 Re cei ved: 04.04. 2018 Ac cep ted: 03.11. 2018 1University of Social Welfare and Rehabilitation Sciences, Department of Pediatric Neurorehabilitation Research Center, Tehran, Iran 2Shahed University, Department of Otorhinolaryngology, Tehran, Iran Naeimeh Daneshmandan1, Mohammadebrahim Yarmohammadi2, Poopak Izadi2
Assessing and managing the ecological and economic impact of climate change on invasive species

Assessing the geographic distribution and abundance of invasive species is critical for developing sound management and/or eradication policies. Ecological niche modeling approaches that make implicit assumptions about the biology and mathematics are commonly used to predict the potential distribution of invasive species based on their recorded distribution. An alternative approach is pphysiologically‐ based demographic modeling (PBDMs) that make explicit assumptions about the biology and mathematics based on data and the observed field biology, include trophic interactions, and predict the temporal phenology and dynamics of the species across wide geographic areas independent of pest distribution records. Contrary to common perceptions, the data requirements for developing PBDMs are not onerous. A weather driven PBDM system model for the noxious yellow starthistle (YST) and its interactions with annual grasses and four seed head feeding herbivorous biological control agents is used to demonstrate the utility of the PBDM approach for analyzing complex invasive species problems (see Gutierrez et al., 2005). The model predicts the geographic distribution and relative abundance of YST across the western USA, and the results are used to assess the effects of temperature, rainfall, competition from grasses, and the four herbivorous insects introduced for its control. The inter‐specific competition among the biological control agents is also reviewed. Observed increases in YST growth rates with increasing CO2 could exacerbate the management problem and complicate the biological control and management of this noxious weed (Dukes et al., 2011). A heuristic bioeconomic model is developed to show how the YST PBDM can be used to assess the biological and economic effects of climate change on YST infestation levels regionally. Last, a call is made to develop a unified system for assessing invasive species problems at the field, regional and global levels with the goal of enhancing the development of policy and management decisions. Gutierrez A.P., Ponti L. , 2014. Assessing and managing the impact of climate change on invasive species: the PBDM approach. In: Ziska L.H. , Dukes J.S. , (eds.), Invasive Species and Global Climate Change. CABI Publishing, Wallingford, UK: 271-290. ISBN 978-1780641645. DOI 10.1079/9781780641645.0271 Definitive version available at http://dx.doi. org/10.1079/9781780641645.0271
Predictive models for utility from positive and negative syndrome scale clinical questionnaires for schizophrenia in the United Kingdom , France and Germany – findings of the European schizophrenia cohort ( EuroSC )

Objective: The purpose of this article is to provide a mapping function in the context of schizophrenic patients to predict the unobserved utility values from clinical information. The clinical symptoms of schizophrenia are associated with serious functioning, social, and quality of life alterations. Among the characteristics of schizophrenic patients, we focus on determining the variables (i.e., positive and ∗Corresponding author: Carole Siani. Email: carole.siani@univ-lyon1.fr. Tel: +33 (0)4.78. 77.10. 23. Fax: +33 (0)4.72. 43.10. 55.
PENERAPAN MODEL ARGUMENT-DRIVEN INQUIRY DALAM PEMBELAJARAN IPA UNTUK MENINGKATKAN KEMAMPUAN ARGUMENTASI ILMIAH SISWA SMP

Scientific argumentation is the ability to express ideas about science phenomena based on data and existing theories. This capability is important for students to explain scientific phenomena based on data and science concepts. Argument-Driven Inquiry model (ADI) consists of tentative argument production and argumentation session as an appropriate step to enhance student’s capability as well as the quality of their scientific argumentation. This exploratory study with time series design and 12 junior high school students as its sample was conducted in order to find ways to enhance student’s argumentation and obtain student’s argumentation enhancement on the topic of light. Students’ argumentation were measured based on oral argumentation enhacement trend, while written arguments were analyzed based on Walker's ADI Laboratory Report Scoring Rubric. Results showed an increasing trend of argumentation for level 2, 4 and 5, constant for level 1, and decreased for level 3, while the written argument has an increasing trend with the value of +2.17. These suggested that steps developed in the ADI model could enhance junior high school students’s scientific argumentation on the topic of light. Keywords : scientific argumentation, Argument-Driven Inquiry ABSTRAK Argumentasi ilmiah merupakan kemampuan mengemukakan ide/gagasan mengenai fenomena sains berdasarkan data/bukti dan teori yang ada. Kemampuan ini penting dilatihkan agar siswa dapat menjelaskan fenomena sains berdasarkan bukti dan konsep sains yang relevan. Model Argument-Driven Inquiry (ADI) memiliki tahapan pembuatan argumen tentatif serta sesi argumentasi. Kedua tahapan tersebut dipandang sebagai langkah yang tepat untuk melatihkan kemampuan berargumentasi dan kualitas argumentasi. Penelitian eksploratori dengan desain time series dan melibatkan 12 siswa SMP ini bertujuan untuk menemukan cara melatihkan argumentasi pada siswa dan memperoleh gambaran peningkatan argumentasi siswa pada topik cahaya. Peningkatan argumentasi ilmiah siswa diukur berdasarkan trend peningkatan argumentasi lisan sedangkan peningkatan argumentasi tulisan dianalisis berdasarkan ADI Laboratory Report Scoring Rubric . Hasil penelitian menunjukkan bahwa terdapat trend peningkatan untuk level argumentasi 2, 4 dan 5, konstan untuk level 1 dan menurun untuk level 3, sedangkan argumentasi tulisan memiliki trend peningkatan dengan rerata nilai sebesar +2,17. Hal ini menunjukkan bahwa cara-cara yang dikembangkan dalam model ADI dapat melatihkan kemampuan argumentasi ilmiah siswa SMP pada topik cahaya. Kata kunci : argumentasi ilmiah , Argument-Driven Inquiry
GEOGRAPHY IN THE THIRD CYCLE OF PRIMARY EDUCATION : LEARNING STYLES AND ACADEMIC PERFORMANCE

The teaching of school disciplines seeks to prepare primary school teachers in the teaching of specific contents. “Today, critical thought in the field of social sciences considers this area a basic variable of social events that has an ongoing dialectic relation with society” (Trepat & Comes, 2008:134). As Souto (1999) states, the student should receive our help in learning statistical and verbal cartographic techniques; i.e., the teaching of geography should be supported by solid teaching structures, based on methodological diversity, and should go beyond the use and study of maps which, as Trepat & Comes (2008) point out, has been a constant feature of the geography classroom. Indeed, we consider that a review of the use of cartography in the classroom is an appropriate way of tracking this specific didactic in relation to the epistemological focuses of geographic science. The recent conceptualization of social science teaching and primary school teacher training has focused on professionals of education who are capable of interpreting and transforming the curriculum, of taking complicated decisions in classroom situations and of making a thorough analysis of the teachers, the pupils, the disciplines and the teaching and learning contexts (Santisteban & Pagès, 2011). Thus, we cannot define the teaching of geography as a set of knowledge based on the concepts proper to the subject; in order to teach geography one has to know geography, but also the learning obstacles facing the students; teaching well supposes a mastery of the content to be taught in the classroom, a well organized conceptual discourse and a proposal of tasks; yet all of this is insufficient if we are not aware of how our students learn, the obstacles that hinder their learning, the barriers between our desire to teach and their interest in the learning proposals (Souto, 1999). Boletín de la Asociación de Geógrafos Españoles N.o 72 2016, págs. 591-598
MODEL FOR PREDICTING CONSTRUCTION TIME BY USING GENERAL REGRESSION NEURAL NETWORK

Construction time is an element of every construction contract. Thus, its prediction is of particular interest. This paper presents a construction time prediction model by using General Regression Neural Network. Key data on a total of 70 constructed buildings have been collected through field studies. Chief engineers of construction companies have been interviewed on contractual and actually incurred construction times, contractual and actual construction costs, type of facilities and construction year. General Regression Neural Network (GRNN) from predictive modelling software named DTREG, as new approach in forecasting, was used for building the predictive model to predict the real construction time. Prediction was very accurate with mean absolute percentage error, MAPE, around 2.19 which means that the error of the model is around 2.19%, the coefficient of correlation between the actual and the predicted values is very high, r = 0.99 (rounded) and the coefficient of determination which measures the global fit of the model R 2 is 0.97875 (or 97.88%). This paper contributes to and can be useful for the decision process on planning the construction time in construction companies and in the construction industry in general.
Expression of the Alpha Tocopherol Transfer Protein gene is regulated by Oxidative Stress and Common Single Nucleotide Polymorphisms

Vitamin E (α-tocopherol) is the major lipid soluble antioxidant in most animal species. By controlling the secretion of vitamin E from the liver, the α-tocopherol transfer protein (αTTP) regulates whole-body distribution and levels of this vital nutrient. However, the mechanism(s) that regulate the expression of this protein are poorly understood. Here we report that transcription of the TTPA gene in immortalized human hepatocytes (IHH) is induced by oxidative stress and by hypoxia, by agonists of the nuclear receptors PPARα and RXR, and by increased cAMP levels. The data show further that induction of TTPA transcription by oxidative stress is mediated by an already-present transcription factor, and does not require de novo protein synthesis. Silencing of the cAMP response element binding (CREB) transcription factor attenuated transcriptional responses of the TTPA gene to added peroxide, suggesting that CREB mediates responses of this gene to oxidative stress. Using a 1.9 Kb proximal segment of the human TTPA promoter together with site-directed mutagenesis approach, we found that single nucleotide polymorphisms (SNPs) that are commonly found in healthy humans dramatically affect promoter activity. These observations suggest that oxidative stress and individual genetic makeup contribute to vitamin E homeostasis in humans. These findings may explain the variable responses to vitamin E supplementation observed in human clinical trials.
Exploration of the performance characteris- tics of different GPU-based implementations

In recent years, voxel-based modelling has seen a reintroduction to computer game development through massive graphics hardware improvements. Nevertheless, polygons continue to be the default building block of 3D objects, introducing a need for the transformation of polygon meshes into voxel-based models; this process is known as voxelization. Efficient voxelization algorithms take advantage of the flexibility and control offered by modern, programmable GPU pipelines. However, the variability in possible approaches poses the question of how different GPU-based implementations affect voxelization performance. This thesis explores the impact of GPU-based improvements by comparing four different implementations of a solid voxelization algorithm. The implementations include a naive transition from the CPU to the GPU, a non-branching execution path approach, data pre-processing, and a combination of the two previous approaches. Benchmarking experiments run on four, standard polygonal models and three graphics cards (NVIDIA and AMD) provide runtime and memory usage data for each implementation. A comparative analysis is performed on the basis of this data to determine the performance impact of the GPU-based adjustments to the voxelization algorithm implementation. Results indicate that the non-branching execution path approach yields clear improvements over the naive implementation, while data pre-processing has inconsistent performance and a large initial performance cost; the combination of the two improvements unsurprisingly leads to combined results. Therefore, the conclusive recommendation is using the non-branching execution path technique for GPU-based improvements.
Image Re-Ranking Using Query-Specific Semantic Signatures with Result Analysis

- Image Search engines mostly use keywords and they rely on surrounding text for searching images. Ambiguity of query images is hard to describe accurately by using keywords. Eg:Apple is query keyword then categories can be “red apple”,”apple laptop” etc.Another challenge is without online training low level features may not well co-relate with high level semantic meanings. Low-level features are sometimes inconsistent with visual perception. The visual and textual features of images are then projected into their related semantic spaces to get semantic signatures. In online stage images are re-ranked by comparing semantic signatures obtained from semantic space obtained from query keywords. Semantic space of a query keyword can be described by just 20 – 30 concepts (also referred as “reference classes”).
The response of ozone and nitrogen dioxide to the eruption of Mt

Popular summary On 15 June 1991 the eruption of Mt. Pinatubo, in the Philippines, injected about 20 Tg of sulfur di oxide (S02) in the stratosphere . The S02 transformed into sulfate aerosol. increasing the s tratospheric aerosol loading by orders of magnitude. Such a massive aerosol perturbation is expected to change both the chemistry and dynamics of the stratosphere. On the one side, the volcanic sulfate provides additional surface for heterogeneous chemistry, lowering especially the concentrations of ozone and nitrogen dioxide (N02). On the other side. heating by the volcanic aerosol changes the radiative balance of the atmosphere and, therefore, the atmospheric dynamics.
Reforming Customs by Measuring Performance: A Cameroon Case Study

Many Customs administrations have suffered from corruption and struggled to identify options for ameliorating this malady. In seeking to reduce corruption, while simultaneously strengthening performance (such as raising revenue collection and enhancing trade facilitation), policymakers should conduct experiments that can assist in identifying constructive policies. Such an experiment has been tested for Cameroon Customs, with some preliminarily positive results. In 2007, Cameroon launched a reform of its Customs administration, which included the installation of ASYCUDA (an automated Customs clearance system). In February 2010, as a continuation of the reform, Cameroon Customs introduced a system of performance contracts signed between the Director General and a number of front-line officers in the port of Douala. The core of the performance contracts is an agreement that the practices of the customs officers will be recorded and reported to the Director General. After four months of their implementation, initial results are encouraging (including lower corruption, higher revenue collection, and shorter clearance times) and may point to the birth of a new professional culture. This paper focuses on the experience and results so far of the performance contracts aspect of the reform, and suggests that replication may be beneficial for other Customs administrations.
Code Switching and Code Mixing in Indonesia: Study in Sociolinguistics?

Code-switching and code-mixing are part of the Study of Bilingualism in Sociolinguistics which have become a very popular language, it is to be an influence for smooth communication in Indonesia because many Batak Toba and Mandailing speakers who realize code-switching and code-mixing using other languages such as Indonesian and English in a particular conversation in everyday life. It is thus necessary to study for smooth communication and prevent misunderstandings and prevent deaths language speakers. The method that is applied in this reseach is qualitative research, which used interview techniques, questionnaires, observations and records for taking the data. So, the research was conducted by taking the real data from communities in North Sumatra, Indonesia. From the research, we found 75 expressions from 3 places of the research. They are City of Medan, Siantar and Region of Mandailing Natal. In addition, code switching and code mixing in Indonesia have been divided into three classes. They are word class, phrase class, and sentence class. Interestingly, the word level is the highest number that is occurred in Indonesia, which reached 57.3% from all the data. Then, for the second and the third positions are phrase and Sentence levels, which reached 40.4% and 17.3% respectively.
2 O ct 2 01 7 On the complexity of H-coloring for special oriented trees

For a fixed digraphH, theH-coloring problem is the problem of deciding whether a given input digraph G admits a homomorphism to H. The CSP dichotomy conjecture of Feder and Vardi is equivalent to proving that, for any H, the Hcoloring problem is in P or NP-complete. We confirm this dichotomy for a certain class of oriented trees, which we call special trees (generalizing earlier results on special triads and polyads). Moreover, we prove that every tractable special oriented tree has bounded width, i.e., the correspondingH-coloring problem is solvable by local consistency checking. Our proof relies on recent algebraic tools, namely characterization of congruence meet-semidistributivity via pointing operations and absorption theory. c ©2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license.
What Makes People Want to Read a Book ? : An Experimental Study

Readers are exposed to an enormous number of new book releases each year. In this context, getting their attention and stimulating their interest are issues of great importance for publishers. The study presented in this article used an experimental approach to examine the impact of five variables on readers’ interest in a new book: the reputation of the author, that of the publisher, the attractiveness of the book cover, the degree to which the cover represents the content of the book, and the type of book (a novel or a technical book). The results showed that the first three variables had a statistically significant impact on readers’ interest. However, the effect of the author’s reputation was observed only in the case of books with a technical content. These findings are discussed and their implications for the marketing of new books are addressed.
Throughput Analysis Model for IEEE 802 . 11 e EDCA with Multiple Access Categories

IEEE 802.11e standard has been specified to support differentiated quality of service (QoS), one of the critical issues on the conventional IEEE 802.11 wireless local area networks (WLANs). Enhanced Distributed Channel Access (EDCA) is the fundamental and mandatory contention-based channel access method of IEEE 802.11e, and delivers traffic based on differentiated Access Categories (ACs). A general three dimensional Markov chain model of IEEE 802.11e EDCA for performance analysis is proposed in this paper. The analytical model considers multiple stations with an arbitrary number of different ACs. It also differentiates the contention window (CW) sizes and the arbitration interframe spaces (AIFSs), and considers virtual collision mechanism. Based on the model, the saturation throughput of EDCA is derived, and the accuracy of the proposed model is validated via simulations.
Forest Type Classification Based on Integrated Spectral-Spatial-Temporal Features and Random Forest Algorithm—A Case Study in the Qinling Mountains

Spectral, spatial, and temporal features play important roles in land cover classification. However, limitations still exist in the integrated application of spectral-spatial-temporal (SST) features for forest type discrimination. This paper proposes a forest type classification framework based on SST features and the random forest (RF) algorithm. The SST features were derived from time-series images using original bands, vegetation index, gray-level correlation matrix, and harmonic analysis. Random forest-recursive feature elimination (RF-RFE) was used to optimize high-dimensional and correlated feature space, and determine the optimal SST feature set. Then, the classification was carried out using an RF classifier and the optimized SST feature set. This method was applied in the Qinling Mountains using Sentinel-2 time-series images. A total of 21 SST features were obtained through the RF-RFE method, and their importance was evaluated using the Gini index. The results indicated that spectral features contribute the most to separating shrubs, spatial features are more suitable for discrimination among evergreen forest types, and temporal features are more useful for evergreen forest, deciduous forest, and shrub types. The forest type map was generated based on the optimal SST feature set and RF algorithm, and evaluated based on an agreement with the validation dataset. The results showed that this integrated method is reliable, with an overall accuracy of 86.88% and kappa coefficient of 0.86, and can support forest type sustainable management and mapping at the local scale.
Plasma microRNAs can be a potential diagnostic biomarker for endometriosis.

OBJECTIVES Plasma microRNAs are considered potential diagnostic biomarkers for endometriosis. Increasing evidence has shown that a huge number of miRNAs are abnormally expressed in endometriosis plasma and play irreplaceable roles in diagnosis. MATERIAL AND METHODS The aim of our study was to identify the differential expression of circular miRNA by reviewing the PubMed, ScienceDirect, and Cochrane databases between normal women and women with endometriosis and analyzing the miRNA data downloaded from the GEO database. RESULTS Because of the differential miRNA expression in this review, we evaluated the diagnostic values of the differentially expressed miRNAs, particularly during the menstrual phases. According to the cut-off criteria with |log 2 FC| > 1.0 and P < 0.05, 36 differentially expressed miRNAs were identified, including 13 upregulated miRNAs and 23 downregulated miRNAs. We developed miR-155, miR-574, miR-23a, and miR-520d via a Venn diagram. Functional enrichment analysis considered that the target miRNAs might be involved in various pathways related to endometriosis, including neurotrophin, Hippo, oocyte meiosis, ubiquitin mediated proteolysis, HTLV-Infection, FoxO, and Rap1 signaling pathways. CTNNB1, MYC, and ES R1 of transcription factors were related to the differentially expressed miRNAs. CONCLUSIONS In summary, our study suggested that a four-miRNA could be included as a prognostic marker in endometriosis.