Miracle-dz/UniFAR-FTUs huggingface dataset:
The Pattern of Intragroup Conflict and Group Performance during Interprofessional Teamwork Process among Students of Medical and Health Professionals

s—Teamwork and collaborative practice are necessary tools in handling health problems and the importance of interprofessional teamwork is becoming increasingly recognized. The process of team development is a series of multilevel, overlapping responsibilities, which are intertwined with each other, and disruption of team development process will lead to conflict. This study analyzed the pattern of intragroup conflict and group process in an interprofessional team. The study was conducted at the State Islamic University (UIN), Jakarta, Indonesia from February to October 2012 and involved 62 students (77.5% of total sample) from four disciplines (medicine, nursing, pharmacist and public health). They engaged in an interprofessional learning for community-based health care (COMIC program). Following their participation in this program, a positive result was achieved of improved group process (factors of trust, mutual respect, and open discussion) with significant statistical impact on the improvement of intragroup conflict (conflict of relationship, task and process) over time. This research produced a unique pattern of intragroup conflict and group process for each discipline. Keywords— intragroup conflict; group performance; interprofessional teamwork; collaborative practice
Attack Simulation and Signature Extraction of Low-Rate DoS

LDoS (low-rate denial-of-service) was a new type of DoS attack. In this paper, LDoS attack traffic was simulated on OPNET platform and generated by estimating the retransmission time out (RTO) of normal TCP flow based on the analysis of LDoS attack features, and the performance of targets under the attacking of LDoS was tested. We investigated the cache queue of target router for the purpose of detection and defense of LDoS attack. Test result show that two criterions -- packet percentage and threshold--can detect LDoS attack flows.
Pollution Haven Hypothesis and Trading Partners 1

<Abstracts> 2009 Copenhagen Climate Summit reveals the conflicts in environment protection implementation among developed, developing and under developed countries. It seems that each country fears for the loss of its industry because of strong environment regulation. So it is right time to shed the rights on the pollution haven hypothesis, again. The empirical studies of the pollution haven hypothesis are still indecisive. In this article, we argue that the pollution haven hypothesis is a specific example of general location theory and we provide one explanation why the empirical results are so mixed by using newly developed two way spatial sorting theory suggested by the seminal work of Okubo and Rebeyrol(2006). The information about market size, transportation costs and regulation gap must be considered and the choice of host and counter part country in empirical setting can provide a strategy for the identification of the pollution haven.
Distress psicológico: contributos para a adaptação portuguesa do sq-48

Recently, it has been emphasized the importance of psychological distress in the impact of an individual’s health, quality of life and psychopathology. The present research’s main goal is to contribute for its study by adapting the SymptomQuestionnaire (SQ-48) to the Portuguese population, a questionnaire for the evaluation of psychological distress which includes both negative and positive constructs assessed by nine subscales: Mood, Anxiety, Somatization, Agoraphobia, Aggression, Cognitive Departamento de Educação, Universidade de Aveiro, 3810-193 Aveiro, Portugal. Telf. : 919160248. email:anavarela@ua.pt; anavarela@gmail.com Ana Varela, Anabela Pereira, Ariana Pereira, & José Carlos Santos www.sp-ps.pt 279 Problems, Social Phobia, Work Functioning and Vitality/Optimism. We used a sample of 758 academic students (81,7% female) with ages ranging from 17 to 43 years old (M=20,7; SD=2,8). Confirmatory Factor Analysis (CFA) were conducted in order to investigate SQ-48’s factorial structure and internal consistency and validity were also studied. The CFA results demonstrate satisfactory adjustment indices. The internal consistency was evaluated by Cronbach’s alpha and satisfactory results were obtained for the nine subscales, with variations from 0,626 to 0,870. In general, the SQ-48’s subscales were significantly associated and the results also support good convergent validity. The final instrument and its psychometric properties showed some differences in comparison to the instrument of the original study and the results reported raise some important questions which are discussed in a sustained way. The results validate the SQ-48 as a multidimensional and consistent tool for the evaluation of psychological distress, with items properly adequate to the measurement of the subjacent constructs. Important considerations for future investigations are made.
Intratester and Intertester Reliability of the KT-1000 Arthrometer in the Assessment of Posterior Laxity of the Knee

We measured tibial translation in the knees of 22 sub jects with posterior cruciate ligament tears or recon structions by using the KT-1000 arthrometer. To as sess the reliability of the device, two testers made measurements. One tester was a novice and the sec ond tester had substantial clinical experience with the KT-1000 arthrometer. The quadriceps neutral angle was found for the uninvolved knee. Anterior and pos terior translation and total anterior-posterior excursion were then measured. The quadriceps neutral angle was then reproduced in the involved knee and the same measurements were taken. Each subject was tested twice by each tester. The intraclass correlation coefficient values for the novice, experienced, and in tertester reliability were 0.67, 0.79, and 0.62, respec tively, for corrected posterior translation; 0.59, 0.68, and 0.64, respectively, for corrected anterior transla tion; 0.70, 0.74, and 0.29, respectively, for quadriceps neutral angle; and 0.84, 0.83, and 0.62, respectively, for total anterior-posterior excursion. Ninety-five per cent confidence intervals for the novice, experienced, and intertester reliability were ±2.95, ±2.53, and ±3.27 mm, respectively, for corrected posterior trans lation; ±3.99, ±3.89, and ±3.74 mm, respectively, for corrected anterior translation; and ± 10.70°, ± 11.73°, and ± 16.25°, respectively, for quadriceps neutral an gle. The KT-1000 arthrometer was found to be a mod erately reliable tool for the measurement of tibial trans lation in patients with posterior cruciate ligament tears and reconstructions.
A "Position Paradox" in Sponsored Search Auctions

We study the bidding strategies of vertically differentiated firms that bid for sponsored search advertisement positions for a keyword at a search engine. We explicitly model how consumers navigate and click on sponsored links based on their knowledge and beliefs about firm qualities. Our model yields several interesting insights; a main counterintuitive result we focus on is the “position paradox. ” The paradox is that a superior firm may bid lower than an inferior firm and obtain a position below it, yet it still obtains more clicks than the inferior firm. Under a pay-per-impression mechanism, the inferior firm wants to be at the top where more consumers click on its link, whereas the superior firm is better off by placing its link at a lower position because it pays a smaller advertising fee, but some consumers will still reach it in search of the higher-quality firm. Under a pay-per-click mechanism, the inferior firm has an even stronger incentive to be at the top because now it only has to pay for the consumers who do not know the firms' reputations and, therefore, can bid more aggressively. Interestingly, as the quality premium for the superior firm increases, and/or if more consumers know the identity of the superior firm, the incentive for the inferior firm to be at the top may increase. Contrary to conventional belief, we find that the search engine may have the incentive to overweight the inferior firm's bid and strategically create the position paradox to increase overall clicks by consumers. To validate our model, we analyze a data set from a popular Korean search engine firm and find that (i) a large proportion of auction outcomes in the data show the position paradox, and (ii) sharp predictions from our model are validated in the data.
A Study on Semi-Structure Routing mechanism in Cognitive Radio Networks

Cognitive Radio Networks (CRNs) is mainly resulting to trim down the drawbacks of current unbalanced and inefficient spectrum utilization on licensed spectrum bands. Routing is one of the most important and fundamental mechanism in the cognitive radio networks. To overcome the limitations of existing routing mechanism, many researchers develop a routing framework which is based on Semi Structure Routing (SSR). Semi Structure Routing framework incorporates power control strategy. By adopting the Forwarding Zone concept, efficiency of spectrum utilization is improved. Hence, Semi Structure Routing enhances the spectrum utilization. Hence the overall performance of Semi Structure Routing can be guaranteed. This mechanism can also avoid the high-cost complex and tortuous routes from sources to destinations. This paper gives review of some routing mechanisms in cognitive radio networks which improves and guarantees the performance of network.
Web Corpus Cleaning using Content and Structure

This paper describes experiments on cleaning web corpora. While previously described approaches focus mainly on the visual representation of web pages, we evaluate approaches that rely on content and structure. We have evaluated a heuristics-based approach, as well as approaches based on decision trees, a genetic algorithm and language models. The best performance was achieved using the heuristics-based approach.
From Chemical Mutagenesis to Post‐Expression Mutagenesis: A 50 Year Odyssey

Abstract Site‐directed (gene) mutagenesis has been the most useful method available for the conversion of one amino acid residue of a given protein into another. Until relatively recently, this strategy was limited to the twenty standard amino acids. The ongoing maturation of stop codon suppression and related technologies for unnatural amino acid incorporation has greatly expanded access to nonstandard amino acids by expanding the scope of the translational apparatus. However, the necessity for translation of genetic changes restricts the diversity of residues that may be incorporated. Herein we highlight an alternative approach, termed post‐expression mutagenesis, which operates at the level of the very functional biomolecules themselves. Using the lens of retrosynthesis, we highlight prospects for new strategies in protein modification, alteration, and construction which will enable protein science to move beyond the constraints of the “translational filter” and lead to a true synthetic biology.
An efficient Monte Carlo-based algorithm for scatter correction in keV cone-beam CT

A new method is proposed for scatter-correction of cone-beam CT images. A coarse reconstruction is used in initial iteration steps. Modelling of the x-ray tube spectra and detector response are included in the algorithm. Photon diffusion inside the imaging subject is calculated using the Monte Carlo method. Photon scoring at the detector is calculated using forced detection to a fixed set of node points. The scatter profiles are then obtained by linear interpolation. The algorithm is referred to as the coarse reconstruction and fixed detection (CRFD) technique. Scatter predictions are quantitatively validated against a widely used general-purpose Monte Carlo code: BEAMnrc/EGSnrc (NRCC, Canada). Agreement is excellent. The CRFD algorithm was applied to projection data acquired with a Synergy XVI CBCT unit (Elekta Limited, Crawley, UK), using RANDO and Catphan phantoms (The Phantom Laboratory, Salem NY, USA). The algorithm was shown to be effective in removing scatter-induced artefacts from CBCT images, and took as little as 2 min on a desktop PC. Image uniformity was greatly improved as was CT-number accuracy in reconstructions. This latter improvement was less marked where the expected CT-number of a material was very different to the background material in which it was embedded.
Figure Tree and its Application in Image Segmentation

Figure Tree is a hierarchical presentation which describes the structure of image space based on the collections of regions from an image. And it is constructed through process of multi-scale image segmentation, in which attributes of each node in the tree are calculated and relationships among the nodes retrieved. As a description of an image’ layout, the knowledge about shapes, or other geometrical features of an object, is easy to be held in Figure Tree. A Figure Tree with such kind of knowledge can be used to guide the image segmentation and locate an aim.
Semantic graph reduction approach for abstractive Text Summarization

One of the important Natural Language Processing applications is Text Summarization, which helps users to manage the vast amount of information available, by condensing documents' content and extracting the most relevant facts or topics included. Text Summarization can be classified according to the type of summary: extractive, and abstractive. Extractive summary is the procedure of identifying important sections of the text and producing them verbatim while abstractive summary aims to produce important material in a new generalized form. In this paper, a novel approach is presented to create an abstractive summary for a single document using a rich semantic graph reducing technique. The approach summaries the input document by creating a rich semantic graph for the original document, reducing the generated graph, and then generating the abstractive summary from the reduced graph. Besides, a simulated case study is presented to show how the original text was minimized to fifty percent.
A novel weighted nearest neighbor ensemble classifier

Recent works have shown that combining several classifiers is an effective method to improve classification accuracy. Many ensemble approaches have been introduced such as bagging and boosting that have reduced the generalization error of different classifiers; however, these methods could not increase the performance of Nearest Neighbor (NN) classifier. In this paper, a novel weighted ensemble technique (WNNE) is presented for improving the performance of NN classifier. In fact, WNNE is a combination of several NN classifiers, which have different subsets of input feature set. The algorithm assigns a weight to each classifier, and uses a weighted vote mechanism among these classifiers to determine the output of ensemble. We evaluated the proposed method on several datasets from UCI Repository and compared with NN classifier and Random subspace method (RSM). The results show that our method outperforms these two approaches.
Tuning Syntactically Enhanced Word Alignment for Statistical Machine Translation

We introduce a syntactically enhanced word alignment model that is more flexible than state-of-the-art generative word alignment models and can be tuned according to different end tasks. First of all, this model takes the advantages of both unsupervised and supervised word alignment approaches by obtaining anchor alignments from unsupervised generative models and seeding the anchor alignments into a supervised discriminative model. Second, this model offers the flexibility of tuning the alignment according to different optimisation criteria. Our experiments show that using our word alignment in a Phrase-Based Statistical Machine Translation system yields a 5.38% relative increase on IWSLT 2007 task in terms of BLEU score.
Online acoustic feedback path modeling in multi-channel active noise control systems using Variable Step-Size algorithm

In this paper we have investigated the effects of acoustic feedback on multi-channel ANC system. The presence of strong acoustic feedback degrades the convergence speed of the ANC filters, and in worst case the multi-channel ANC system may become unstable. The acoustic feedback path can be modeled offline, but in most applications it is time varying, hence it needs to be modeled online when ANC is in operation. Here, we propose a Variable Step Size based method for multi-channel ANC systems with online acoustic feedback path modeling. The computer simulations are carried out, which demonstrate the effectiveness of the proposed method, in comparison with the existing methods for 1×2×2 ANC system.
A Theory of Rollover Risk, Sudden Stops, and Foreign Reserves

Emerging economies have accumulated very large foreign reserve holdings since the turn of the century. We argue that this policy is an optimal response to an increase in foreign debt rollover risk. In our model, reserves play a key role in endogenously reducing debt rollover crises (“sudden stops”) by allowing governments to be solvent in more states of the world. Using a dynamic multi-country environment with learning, we find that a relatively small unanticipated increase in rollover risk jointly accounts for (i) the outburst of sudden stops in the late 1990s, (ii) the increase in foreign reserves holdings, and (iii) the subsequent reduction of sudden stops in emerging economies. We also show that a policy of pooling reserves may substantially reduce reserves because mutual insurance across countries dampens rollover risk.
Seroma Production After Breast Cancer Surgery has a Pro-Inflammatory Component

Seroma formation is the most prevalent postoperative sequela after breast cancer surgery. A total of 263 aspirations of seroma fluid in 42 patients were performed after mastectomy; cytokines were measured in 148 cases. The concentration of interleukin-1� (IL-1), interleukin-6 (IL-6), interleukin-8 (IL-8), interleukin-10 (IL-10), interleukin-12p70 (IL-12) and tumor necrosis factor � (TNF) were measured. The patients underwent 9.0 seroma aspirations on average (range 1-17) during an average of 30.7 days (range 7-72). The average cumulative seroma volume was 2056.1 mL (range 50-5130). In all samples, the maximal average concentrations of IL-6 (mean 10717 pg/mL, range 136-100000) and IL-8 (mean 7221 pg/mL, range 102-79828) were 55-200-fold above the serum/plasma levels of asymptomatic adults. In contrast, we observed levels similar to normal serum/plasma levels for IL-1 (mean 62.8 pg/mL, range 0-1226), IL-10 (mean 29.8 pg/mL, range 3.6-359), and lower-than-normal serum/plasma levels of TNF (mean 3.4 pg/mL, range 0-31.7) and IL-12 (mean 0.5 pg/mL, range 0-11.8). Patients with clinical infection had generally significant higher maximal IL-6 (p = 0.004) and IL-8 (0.019) than patients without clinical infection. However, most patients had no bacterial infection. None of the cytokines were associated with cumulative seroma volume, duration of seroma production or number of seroma aspirations. Seroma formation after mastectomy has a pro-inflammatory component, as indicated by the high levels of interleukin-6 and interleukin-8. However, these levels do not predict the course of seroma production.
Winning the invasion roulette: escapes from fish farms increase admixture and facilitate establishment of non-native rainbow trout

Aquaculture is a major source of invasive aquatic species, despite the fact that cultured organisms often have low genetic diversity and tend to be maladapted to survive in the wild. Yet, to what extent aquaculture escapees become established by means of high propagule pressure and multiple origins is not clear. We analysed the genetic diversity of 15 established populations and four farmed stocks of non‐native rainbow trout in Chile, a species first introduced for recreational fishing around 1900, but which has in recent decades escaped in large numbers from fish farms and become widespread. Aquaculture propagule pressure was a good predictor of the incidence of farm escapees, which represented 16% of all free‐ranging rainbow trout and were present in 80% of the study rivers. Hybrids between farm escapes and established trout were present in all rivers at frequencies ranging between 7 and 69%, and population admixture was positively correlated with genetic diversity. We suggest that non‐native salmonids introduced into the Southern Hemisphere could benefit from admixture because local adaptations may not have yet developed, and there may be initially little fitness loss resulting from outbreeding depression.
Power prediction through energy consumption pattern recognition for smart buildings

In this paper, we propose a Non-negative Mixture of Experts (NME) model for smart buildings that is capable of making accurate power forecasting by recognizing characteristic consumption patterns. The model uses prediction error as a metric to guide the feature learning process subject to non-negativity constraints. The objective is to understand and model energy consumption behaviors in commercial buildings at the appliance level so as to facilitate dynamic pricing and demand response. Application of the NME model to a large dataset of device power measurements results in the discovery of meaningful energy usage patterns that are characteristic of the working and idle states of the building space, with the additional advantage that the learned features also optimize the energy prediction model. The model can be learned by stochastic gradient descent, which is suitable for large-scale problems, and an online version is also suggested.
The 70-kD heat shock cognate protein (hsc70) facilitates the nuclear export of the import receptors

Transport receptors of the importin β family continuously shuttle between the nucleus and cytoplasm. We previously reported that the nuclear export of importin β involves energy-requiring step(s) in living cells. Here, we show that the in vitro nuclear export of importin β also requires energy input. Cytosol, depleted of ATP-binding proteins, did not support the sufficient nuclear export of importin β. Further purification revealed that the active component in the absorbed fraction was a 70-kD heat shock cognate protein (hsc70). The addition of recombinant hsc70, but not an ATPase-deficient hsc70 mutant, to the depleted cytosol restored the export activity. In living cells, depletion of hsc70 caused the significant nuclear accumulation of importin β. These effects of hsc70 were observed in the nuclear export of importin β, but also for other import receptors, transportin and importin α. These results suggest that hsc70 broadly modulates nucleocytoplasmic transport systems by regulating the nuclear export of receptor proteins.
Representation of Gender Stereotype in Lexical Verbs

The present study concerns language and gender. The language choice, in this case the use of lexical verbs used by male and female, may imply that those verbs represent some stereotypes about gender. These stereotypes may implicitly be introduced at the early age of children and these can be seen through animated movies. To understand how gender representation is reflected through the language choice, the writer analyzed the lexical verb usage in Disney animated movie using the theory proposed by Biber. The study aims to reveal the most frequent types of lexical verb used by male and female characters, and to figure out how the male and female characters are represented based on the lexical verbs usage. Three Disney animated movies, Zootopia, Tangled and The Princess and the Frog that have male and female major character were chosen as the data. The results of the study show that the male and female characters have some different types of lexical verb. Male characters are more dominant in the use of activity verb, communication verb, Causative verb and verb of occurrences than the female character. Meanwhile, the female characters in the three Disney animated movies only are dominant in one type of semantic category of lexical verb which is Mental verb.