Miracle-dz/UniFAR-FTUs huggingface dataset:
Using EM to Classify Text from Labeled and Unlabeled Documents

Abstract : This paper shows that the accuracy of learned text classifiers can be improved by augmenting a small number of labeled training documents with a large pool of unlabeled documents. This is significant because in many important text classification problems obtaining classification labels is expensive, while large quantities of unlabeled documents are readily available. We present a theoretical argument showing that, under common assumptions, unlabeled data contain information about the target function. We then introduce an algorithm for learning from labeled and unlabeled text, based on the combination of Expectation-Maximization with a naive Bayes classifier. The algorithm first trains a classifier using the available labeled documents, and probabilistically labels the unlabeled documents. It then trains a new classifier using the labels for all the documents, and iterates. Experimental results, obtained using text from three different real-world tasks, show that the use of unlabeled data reduces classification error by up to 30%.
The Strong Parents-Strong Children Programme: parental support in serious and chronic child illness.

AIM To determine the effectiveness of an intervention programme developed to help parents manage serious child illness. METHOD Information from previous research about parents' stress of managing their children's serious illnesses, plus their wishes for what to do about it, were used to develop a behavioural intervention to be used with groups of parents with seriously ill children. The 6-week programme, called 'Strong Parents-Strong Children', was tested using a wait-list control design, and evaluated by standardised and researcher-developed psychological measures. RESULTS Several significant post-test changes in healthier directions were found for the study group, compared with the control group. Additionally, the group process and session helpfulness received positive appraisals, personal goals were attained at high levels, and most participants said they would recommend the programme to others in similar situations. CONCLUSIONS The programme appears to have a significant and positive impact on the parents of seriously ill children.
What is Human-like?: Decomposing Robots’ Human-like Appearance Using the Anthropomorphic roBOT (ABOT) Database

Anthropomorphic robots, or robots with human-like appearance features such as eyes, hands, or faces, have drawn considerable attention in recent years. To date, what makes a robot appear human-like has been driven by designers’ and researchers’ intuitions, because a systematic understanding of the range, variety, and relationships among constituent features of anthropomorphic robots is lacking. To fill this gap, we introduce the ABOT (Anthropomorphic roBOT) Database—a collection of 200 images of real-world robots with one or more human-like appearance features (http://www.abotdatabase.info). Harnessing this database, Study 1 uncovered four distinct appearance dimensions (i.e., bundles of features) that characterize a wide spectrum of anthropomorphic robots and Study 2 identified the dimensions and specific features that were most predictive of robots’ perceived human-likeness. With data from both studies, we then created an online estimation tool to help researchers predict how human-like a new robot will be perceived given the presence of various appearance features. The present research sheds new light on what makes a robot look human, and makes publicly accessible a powerful new tool for future research on robots’ human-likeness.
Global Analysis of the Burkholderia thailandensis Quorum Sensing-Controlled Regulon

ABSTRACT Burkholderia thailandensis contains three acyl-homoserine lactone quorum sensing circuits and has two additional LuxR homologs. To identify B. thailandensis quorum sensing-controlled genes, we carried out transcriptome sequencing (RNA-seq) analyses of quorum sensing mutants and their parent. The analyses were grounded in the fact that we identified genes coding for factors shown previously to be regulated by quorum sensing among a larger set of quorum-controlled genes. We also found that genes coding for contact-dependent inhibition were induced by quorum sensing and confirmed that specific quorum sensing mutants had a contact-dependent inhibition defect. Additional quorum-controlled genes included those for the production of numerous secondary metabolites, an uncharacterized exopolysaccharide, and a predicted chitin-binding protein. This study provides insights into the roles of the three quorum sensing circuits in the saprophytic lifestyle of B. thailandensis, and it provides a foundation on which to build an understanding of the roles of quorum sensing in the biology of B. thailandensis and the closely related pathogenic Burkholderia pseudomallei and Burkholderia mallei.
Amplification of Lipopolysaccharide-Induced Cytokine Synthesis in Non–Small Cell Lung Cancer/Neutrophil Cocultures

Proinflammatory cytokines are centrally involved in tumor progression and survival in non–small cell lung cancer, and both the presence of infiltrating neutrophils and bacterial infection in the lung may indicate a poor prognosis. Against this background, we investigated the effect of the bacterial cell wall component lipopolysaccharide (LPS) on interleukin (IL)-6 and IL-8 synthesis in the non–small cell lung cancer line A549 and in A549-neutrophil cocultures. The LPS induced a dose-dependent and time-dependent release of IL-8 from A549 cells, whereas IL-6 could not be detected. Interestingly, in A549-neutrophil cocultures, IL-8 synthesis was massively amplified and IL-6 was also released, compared with the respective monocultures. The A549 cells were identified as the primary cellular source of these cytokines, as enhanced cytokine mRNA transcription was detected in this cell type, although not in neutrophils in the coculture system. Experiments done in transwells indicated that direct cell-cell contact was a prerequisite for the increased cytokine generation. Inhibition of tumor necrosis factor-α bioactivity by neutralizing antibodies and blocking cyclooxygenase-2 activity blunted the enhanced cytokine generation in the coculture system. Amplification of LPS-induced cytokine secretion could be reproduced when the small cell lung cancer cell line H69 was cocultured with neutrophils. When the Gram-positive cell wall component lipoteichoic acid was used instead of LPS, cytokine synthesis was also amplified in A549-neutrophil cocultures, to a similar extent to that observed with LPS. These data indicate that interaction between bacterial pathogens, neutrophils, and tumor cells might amplify the release of proinflammatory cytokines which may promote tumor growth in vivo. (Mol Cancer Res 2009;7(10):1729–35)
Soil nitrogen dynamics and leaching under conservation tillage in the Atlantic Coastal Plain, Georgia, United States

Conservation tillage (CsT) involves management that reduces soil erosion by maintaining crop residue cover on farm fields. Typically, both infiltration and soil organic matter increase over time with CsT practices. We compared the impact of a commonly used CsT practice, strip tillage (ST), to conventional tillage (CT) management on soil nitrogen (N) dynamics and leaching and examined associations to soil N availability and microbial biomass. A winter cover crop was used in both tillage treatments. The study was conducted over a five-year period during rotational cotton (Gossypium hirsutum L.) and peanut (Arachis hypogaea L.) production in the Atlantic Coastal Plain region in Georgia, United States. Fertilizer and poultry litter were applied ahead of the cotton crops. Sets of PVC cylinders were filled with soil from each of six plots, three in ST and three in CT, and maintained in situ in their respective plots for 16 intervals of about 90 days. After retrieval, the soil in each cylinder was analyzed for inorganic N (ammonium and nitrates [NH4+ and NO3−]), total N, total carbon (C), and microbial biomass. Leached NO3−-N was captured on anion exchange resin-filled bags attached to the bottom of each cylinder. After the five-year study period, the ST and CT soil C content increased by 22% and 23%, respectively. Total soil N content increased 27% with ST compared to 22% with CT. Temporal patterns in NO3−-N leaching were not different between CT and ST treatments, and a high amount of NO3−-N leaching was observed after the application of poultry litter. The cumulative amount of NO3−-N leached from soils throughout the five-year study was 141 and 122 kg N ha−1 (126 and 109 lb N ac−1) with CT and ST practices, respectively. Results suggest that leaching from the top 15 cm (6 in) of soil may be an important pathway of N loss from both CT and ST cropping systems in the region. Regardless of tillage, soil microbial biomass N was equal to or higher than the total inorganic N, but still represented a small percentage (up to 9%) of the total soil N. Overall, microbial biomass N was higher in ST compared to CT. Minimizing NO3−-N in the soil from reaching ground and surface waters while increasing crop productivity represents a major challenge. The use of ST in conjunction with winter cover crops may improve plant N availability by more than 27 kg ha−1 y−1 (24 lb ac−1 yr−1) in the sandy landscapes of the southeastern Coastal Plain region through microbial cycling of organic N while reducing subsurface NO3−-N losses.
Creative Industries after the First Decade of Debate

It has now been over a decade since the concept of creative industries was first put into the public domain by the Blair Labour government's Creative Industries Mapping Documents in Britain. The concept has gained traction globally, but it has also been understood and developed in different ways in Europe, Asia, Australia, New Zealand, and North America, as well as through international bodies such as UNCTAD and UNESCO. A review of the policy literature reveals that although questions and issues remain around definitional coherence, there is some degree of consensus emerging about the size, scope, and significance of the sectors in question in both advanced and developing economies. At the same time, debate about the concept remains highly animated in media, communication, and cultural studies, with its critics dismissing the concept outright as a harbinger of neoliberal ideology in the cultural sphere. This article couches such critiques in light of recent debates surrounding the intellectual coherence of the concept of neoliberalism, arguing that this term itself possesses problems when taken outside of the Anglo-American context in which it originated. It is argued that issues surrounding the nature of participatory media culture, the relationship between cultural production and economic innovation, and the future role of public cultural institutions can be developed from within a creative industries framework and that writing off such arguments as a priori ideological and flawed does little to advance debates about twentieth-century information and media culture.
Solving “large” dense matrix problems on multi-core processors

Few realize that for large matrices dense matrix computations achieve nearly the same performance when the matrices are stored on disk as when they are stored in a very large main memory. Similarly, few realize that, given the right programming abstractions, coding Out-of-Core (OOC) implementations of dense linear algebra operations (where data resides on disk and has to be explicitly moved in and out of main memory) is no more difficult than programming high-performance implementations for the case where the matrix is in memory. Finally, few realize that on a contemporary eight core architecture one can solve a 100, 000 × 100, 000 dense symmetric positive definite linear system in about an hour. Thus, for problems that used to be considered large, it is not necessary to utilize distributed-memory architectures with massive memories if one is willing to wait longer for the solution to be computed on a fast multithreaded architecture like an SMP or multi-core computer. This paper provides evidence in support of these claims.
Support vector regression with kernel combination for missing data reconstruction

Over the past few years, the reconstruction of missing data due to the presence of clouds received an important attention. Applying region-based inpainting strategies or conventional regression methods, such as support vector (SV) machine regression, may not be the optimal way. In this letter, we propose new combinations of kernel functions with which we obtain a better reconstruction. In particular, in the regression, we add to the radiometric information, i.e., the position information of the pixels in the image. For each kind of information adopted in the regression, a specific kernel is selected and adapted. Adopting this new kernel combination in a SV regression (SVR) comes out that only few SVs are needed to reconstruct a missing area. This means that we also perform a compression in the number of values needed for a good reconstruction. We illustrate the proposed approaches through some simulations on FORMOSAT-2 multitemporal images.
The design and field observation of a haptic notification system for timing awareness during oral presentations

To moderate oral presentations a chair must manage time, and communicate time parameters to speakers through a variety of means. But speakers often miss time cues, chairs cannot confirm their receipt, and the broken dialogue can be a sideshow for the audience. We developed HaNS, a wireless wrist-worn chair-speaker Haptic Notification System that delivers tactile cues for time-managing oral presentations, and performed field observations at university research seminars and two mid-sized academic conferences (input from 66 speakers, 21 chairs, and 65 audience members). Results indicate that HaNS can improve a user's awareness of time, facilitate chair-speaker coordination, and reduce distraction of speaker and audience through its private communication channel. Eliminating overruns will require improvement in speaker 'internal' control, which our results suggest HaNS can also support given practice. We conclude with design guidelines for both conference-deployed and personal timing tools, using touch or another notification modality.
Mouse models for pre-clinical drug testing in leukemia

ABSTRACT Introduction: The development of novel drugs which specifically target leukemic cells, with the overall aim to increase complete remission and to reduce toxicity and morbidity, is the most important prerequisite for modern leukemia treatment. In this regard, the current transition rate of potential novel drugs from bench to bedside is remarkably low. Although many novel drugs show promising data in vitro and in vivo, testing of these medications in clinical phase I trials is often sobering with intolerable toxic side effects leading to failure in FDA approval. Areas covered: In this review, the authors discuss the development of murine model generation in the context of targeted therapy development for the treatment of childhood leukemia, aiming to decrease the attrition rate of progressively complex targeted therapies ranging from small molecules to cell therapy. As more complex therapeutic approaches develop, more complex murine models are needed, to recapitulate closely the human phenotype. Expert opinion: Combining xenograft models for efficacy testing and GEMMs for toxicity testing will be a global approach for pre-clinical testing of complex therapeutics and will contribute to the clinical approval of novel compounds. Finally, this approach is likely to increase clinical approval of novel compounds.
Oxynoemacheilus veyseli, a new nemacheilid species from the upper Aras River drainage of Turkey (Teleostei: Nemacheilidae)

A new species of nemacheilid fish, Oxynoemacheilus veyseli sp. n. , is described from the upper Aras River drainage, Kars Province, Turkey. The species differs from its congeners in the Caspian Sea basin in the combination of the following characters: flank with a set of mid-lateral elongated, irregular-shaped dark brown blotches, sometimes fused, interrupted by lateral line; dorsum with three or four separated dark-brown roundish to elongated blotches predorsally and postdorsally; a deep and marked suborbital groove and many small unculi on rays of pectoral and dorsal-fin in male; small eye diameter (9.6-13.7 %HL); a short dorsal-fin base (10.1-13.3 %SL); 3-4 lateral and 3 central pores in supratemporal canal; deep body and caudal peduncle (17.3-19.4 and 10.2-11.4 %SL, respectively) and slightly emarginated caudal fin.
A proposal to use stripes to maintain diversity in a multi-objective particle swarm optimizer

In this paper, we propose a new mechanism to maintain diversity in multi-objective optimization problems. The proposed mechanism is based on the use of stripes that are applied on objective function space and that is independent of the search engine adopted to solve the multi-objective optimization problem. In order to validate the proposed approach, we included it in a multi-objective particle swarm optimizer. Our approach was compared with respect to two multi-objective evolutionary algorithms, which are representative of the state-of-the-art in the area. The results obtained indicate that our proposed mechanism is a viable alternative to maintain diversity in the context of multi-objective optimization.
Biochemical and morphological study on hepatotoxicity of azathioprine in rat.

Sprague-Dawley rats given azathioprine in the diet for 3 to 4 weeks developed severe liver damage. Elevations of serum alkaline phosphatase and gamma-glutamyl transpeptidase activities were associated with increased hepatic glucose 6-phosphate dehydrogenase levels and decreased liver glucose 6-phosphatase activities, i.e., conditions which were commonly observed in various hepatotoxin-induced liver injuries. Light and electron microscopic observations revealed centrolobular necrosis with large scars and the proliferation of the mitochondria and rough endoplasmic reticulum. This model could be used to study the mechanisms of azathioprine-induced liver damage and its prevention.
On Immunological Memory as a Function of a Recursive Proliferation Process

We present a model that explains immunological memory as a consequence of the recursive proliferation of reactive and suppressive cells, where the relative proportion of these cells will set a probability for the emergence of a response (inflammation). We show that the underlying principle of the proposed model is a special case of Polya's urn process. This insight reveals and explains the emergent functionality of the model. Additionally, experiments and simulations are performed to validate the obtained insight of the model.
Millimeter-scale nearly perpetual sensor system with stacked battery and solar cells

Sensors with long lifetimes create new applications in medical, infrastructure and environmental monitoring. Due to volume constraints, sensor systems are often capable of storing only small amounts of energy. Several systems have increased lifetime through VDD scaling [1][2][3]. This necessitates voltage conversion from higher-voltage storage elements, such as batteries and fuel cells. Power is reduced by introducing ultra-low-power sleep modes during idle periods. Sensor lifetime can be further extended by harvesting from solar, vibrational and thermal energy. Since the availability of harvested energy is sporadic, it must be detected and stored. Harvesting sources often do not provide suitable voltage levels, so DC-DC up-conversion is required.
GPER expressed on microglia mediates the anti‐inflammatory effect of estradiol in ischemic stroke

Stroke could lead to serious morbidity, of which ischemic stroke counts for majority of the cases. Inflammation plays an important role in the pathogenesis of ischemic stroke, thus drugs targeting inflammation could be potentially neuroprotective. Estradiol was shown to be neuroprotective as well as anti‐inflammatory in animal models of ischemic stroke with unclear mechanism. We hypothesize that the anti‐inflammatory and neuroprotective effect of estradiol is mediated by the estradiol receptor G protein‐coupled estrogen receptor 1 (GPER) expressed on microglia.
Anti-Herpesvirus Activities of Pseudomonas sp. S-17 Rhamnolipid and its Complex with Alginate

The rhamnolipid biosurfactant PS-17 and its complex with the polysaccharide alginate, both produced by the Pseudomonas sp. S-17 strain, were studied for their antiviral activity against herpes simplex virus (HSV) types 1 and 2. They significantly inhibited the herpesvirus cytopathic effect (CPE) in the Madin-Darby bovine kidney (MDBK) cell line. The investigations were carried out according to the CPE inhibition assay protocol. The suppressive effect of the compounds on HSV replication was dose-dependent and occurred at concentrations lower than the critical micelle concentration of the surfactant. The 50% inhibitory concentration (IC50) of rhamnolipid PS-17 was 14.5 μg/ml against HSV-1 and 13 μg/ml against HSV-2. The IC50 values of the complex were 435 μg/ml for HSV-1 and 482 μg/ml for HSV-2. The inhibitory effects of the substances were confirmed by measuring the infectious virus yields with the multicycle virus growth experimental design as well: ∆log CCID50 of 1.84−2.0 against the two types of herpes simplex viruses by rhamnolipid PS-17 (20 μg/ml), and a strong reduction of the HSV-2 virus yield under the effect of the alginate complex at a concentration of 450 μg/ml. The results indicate that rhamnolipid PS-17 and its alginate complex may be considered as promising substances for the development of anti-herpetic compounds.
Effect of an Interactive Courseware in the Learning of Matrices

The main aim of this study is to integrate cooperative learning strategies, mastery learning and interactive multimedia to improve students’ performance in Mathematics, specifically in the topic of matrices. It involved a quasi-experimental design with gain scores and time-on-task as dependent variables. The independent variables were three instructional strategies (CCL, CML and CCML) with academic abilities as the moderator variable. The sample for the study was 262 Form Four Malaysian students. A courseware entitled "Matrices" was developed using Macromedia Authorware as the authoring tool. In this study, the collected data was used to investigate the effects of the three learning strategies on the gain scores and time-on-task. Based on the gain scores and time-on-task, the effectiveness of the three learning strategies was discussed. This study showed that the CCML and CML strategies were superior compared to the CCL strategy; CCML strategy produced the highest gain score. For students with low academic ability, the CML strategy was found to be the most effective strategy. The findings of this study also suggested that high academic ability students would obtain high gain scores regardless of the instructional strategies. In terms of time-on-task, students in CCL and CML strategies demonstrated significant lower time-on-task than CCML strategy.