Miracle-dz/UniFAR-FTUs huggingface dataset:
Lung Function and Relevant Clinical Factors in Very Low Birth Weight Preterm Infants with Chronic Lung Disease: An Observational Study

Background Chronic lung disease (CLD), most commonly seen in premature infants who required mechanical ventilation, is associated with functional consequences on lungs and respiratory morbidity. This study aimed to evaluate the lung function of premature infants before discharge and their relevant factors related to the lung function. Methods Very low birth weight (VLBW) preterm infants, who required respiratory support soon after birth and were admitted to a hospital in Taiwan, were enrolled. Infants with a need for supplemental oxygen or positive-pressure ventilation support at the postmenstrual age (PMA) of 36 weeks were diagnosed with CLD. Lung function was examined once using EXHALYZER® D before infants were ready for discharge. Results Forty-five VLBW preterm infants received the lung function test before discharge, 27 of whom were diagnosed with CLD. The gestational age (p=0.001) and birth weight (p < 0.001) were smaller in the CLD group than in the no-CLD group. Furthermore, infants with CLD required a longer duration of respiratory support (p < 0.001). The postnatal age and PMA were higher and body size was bigger in infants with CLD on lung function measurement. However, lung function was comparable between the groups. The functional residual capacity and tidal volume were associated with body size upon measuring lung function among all VLBW premature infants. FRC was positively correlated with the body length on measuring lung function in those with CLD. Conclusion In our study, we showed FRC was positively related to the PMA and body length and tidal volume was positively correlated with the body weight and length on lung function measurement in VLBW preterm infants before discharge. Moreover, FRC was positively correlated with the body length on measuring lung function in those with CLD. The lung volume, ventilation, and respiratory mechanics on discharge were comparable between CLD and no-CLD groups.
NATURAL CHANGES IN UNEXPLOITED HIGH-TEMPERATURE GEOTHERMAL AREAS IN ICELAND

Geothermal areas differ and the effects of exploitation on their environment are also very variable. According to Icelandic law an environmental impact assessment is required for a planned power plant, as well as a comparison of alternative power production possibilities for the selection of the environmentally most favourable one. To be able to forecast possible changes following the exploitation of a geothermal field the extent of natural changes occuring within the area with time needs to be known. Monitoring of the field in question is thus needed for several years prior to exploitation. One task of an Icelandic enforcement project on environmental effects of geothermal exploitation has been dedicated to the study of unexploited geothermal areas. The first part of the project was a survey of the status of environmental research in the areas, and as such disclosed an urgent need for increased research. This was followed by the initiation of a monitoring program in selected unexploited geothermal areas. Four areas at different stages of development, Krýsuvík, Theistareykir, Torfajökull and Kverkfjöll, have been chosen for monitoring and it is clear that natural changes are quite extensive and depend on factors such as hydrothermal sealing, earthquakes, volcanic activity and hydrological conditions.
Increases Solubility of Iron With Surface Reductase And Enhances Algal Growth of Marine S . obliquus / Nostoc

DHBA (2,3-Dihydroxybenzoic acid) is increases the solubility of iron and this phenomenon is help out for enhances the growth of marine algae for CO2 sequestration to minimize the atmospheric global warming. Stability constant of DHBA by mole ratio method at pH 7.8 is that 15 days. The growth of S. obliquus and Nostoc is analyzed by analyzing chlorophyll-a content in this medium. Chlorophyll-a in DHBA-Fe sufficient is high as compare with DHBA, Fe deficient medium. DHBA-Fe (4:1) shows maximum growth as compare to (2:1) and (1:1). Finally this growth was reduced due to lack of nutrients in the medium. The solubility of iron with DHBA is due to surface reductases enzyme present on algae.
AUTOMATED CONTENT DETECTION FOR CASSINI IMAGES

Introduction: After almost 20 years in space, NASA's Cassini spacecraft has delivered more than 800K images. While many of these images contain invaluable views of this unique region of the solar system, quite a few of them are navigation or calibration images or contain transmission artifacts. To locate content in this image set is a challenge for scientists. We report on an automated content detection system that aims to address this problem. Image content detection: To detect content in Cassini images, we employ deep convolutional neural networks (CNN), [2]. CNNs have shown significant promise in other areas, such as image [3] and speech [4] recognition, and language translation [5]. CNNs organize image content in increasingly complex representations starting at the pixel level up to entire objects, such as rings, craters, moons, and so on. Lower-level information, such as edges, corners, etc., are common to all content. The specifics of how the low-level information gets combined into high level representations is unique to the domain and requires training of the network with target content and associated labels. Training CNNs: To start our training, we adapted the pretrained CNN [1] based on the ImageNet architecture [2] using the Caffe framework [6]. To train the CNN, we randomly sampled 10K images from the Cassini archives in the Planetary Data System Image Atlas. Each image was associated with one or more of 53 individual classes, organized in 19 visual categories including craters, rings, horizon, plumes, surface viewpoint, navigation, moon phases, artifacts, exposure. The labels were chosen such that all image content in the training set were mapped to a descriptive word as Cassini scientists use when searching Cassini images. Example images from the training set are shown in Figure 2.
Cooperative Learning on Promoting Creative Thinking and Mathematical Creativity in Higher Education

Creativity is an indispensable competence for the future of higher education students. Creative thinking skills play an important role in modern society. Creativity is acknowledged as a crucial aspect of the business, research and development or arts. This study presents the assessment results of an intervention using cooperative learning and the conventional teaching method in order to promote creative thinking in higher education. The design used was quasi-experimental pretest and posttest intervention using the Creative Intelligence test (CREA), with experimental and control groups of higher education students of the Communication and Multimedia course in a Linear Algebra class. The participants were 50 students from a Portuguese public university. Results showed that students who participated in the intervention scored significantly higher in the creativity test at the end of the intervention and indicated that creative thinking, and divergent thinking abilities in particular, can be enhanced through the kind of intervention that was proposed in the study.
Effect of Supplementation of Moringa oleifera Leaf Powder on Growth Performance of Broilers

Received: 10/09/2017 Accepted: 29/09/2017 Abstract The present study was conducted to evaluate the eff ct of supplementation of Moringa oleifera leaf powder on growth performance of broilers. Each treatment was subjected to four r eplicates with twenty five chicks in each replicates. A control group (T0) was fed basal diet adequate in all nutrients as per BIS (2007) and birds in tre a ment groups T1, T2 and T3 were offered basal diet containing Moringa oleifera leaf powder at 0.2, 0.4 and 0.6 %, respectively. The results showed imp rovement in live body weight with the inclusion of Moringa oleifera leaf powder in the diet. The significantly higher (p<0.05) weekly body weight wa s observed in treatment group T1 and T2 fed M. oliefera leaf powder at 0.2% and 0.4% levels as compared to control group. However, sligh tly reduced mean weekly live body weights were recorded in treatment group T3 in comparison to control group T0. The birds fed 0.2% M. oleifera leaf powder recorded significantly higher mean weight ga in compared to control and other treatment groups, however, slight ly reduced mean body weight gain was observed in T3 group fed M. oleifera leaf powder at 0.6%. Slightly reduced feed intake was observed in all tr eatment groups compared to control. The feed conversion ratio among the all treatment groups was found to be better compared to control. Economicall y higher profit obtained in Moringa oleifera leaf powder at 0.2% inclusion level followed by Moringa oleifera leaf powder at 0.4%, 0.6% and control group. It may be concluded that supplementation of Moringa oleifera leaf powder in broiler diets at 2-4 g/kg of feed is found to improve growt h performance.
Morphological Priming of German Verbs 1 Running Head : MORPHOLOGICAL PRIMING OF GERMAN PARTICIPLES Priming Effects of German Participles-the Past-Tense Debate is not Over Yet

We investigated whether German regular and irregula r participles are accessed via parsing or retrieval from lexical memory, and whether such pro cesses are handled by a single or a dual system. In particular, we tested whether the assump tions of the “dual-mechanism” account— that regular participles are parsed whereas irregul ar participles are retrieved as whole words—can be maintained. German participle formatio n is of particular interest, since it is concatenative for both regular and irregular partic iples, and results from combinations of regular/irregular stems with regular/irregular suff ixes. Two priming experiments (crossmodal and visual) compared the patterns of identity priming, kaufe (buy) – kaufe, and participle priming, gekauft (bought) – kaufe, for regular verbs and two types of irregular verbs. Results showed similar priming patterns thro ugh ut for regular and irregular verbs. When priming patterns for regular and irregular ver bs did differ, this reflected differences in surface frequency. These data support a single syst m that processes and decomposes both regular and irregular German inflection.
Study of the relationship between monetary policy, accounting conservatism and corporate trade credit

This study investigated the relationship between trade credit and monetary policy and conservatism. The population consisted of 74 corporates listed on Tehran Stock Exchange from 2009 to 2015. Methodology: Dependent variable was traded credit. Given data was gathered and categorized in Excel file as a data reference. Also, the hypothesis was tested using multivariate regression models based on integrated data techniques through econometrics Eviews software. Results: Results suggested that high conservatism corporates had more trade credit and there was a positive significant relationship between conservatism level and trade credit. Conclusion: Also, there was a positive significant relationship between tight monetary policy and trade credit.
Exploring Automatic Emotion Recognition with Neutral Expression Subtraction and a Regression Model

The concept of what an emotion is, is explored by going through the current theories available in the field of emotion studies. These theories are Basic Emotion, Appraisal, Psychological Construction and Social Construction models, which can either be measured in a discrete or scalar manner. Then these theories are used to argue that current classification systems lack the scalability for use in more complex practical situations, as a single label only gives limited information. As answer to this problem, Neutral Expression Subtraction (NES) regression is introduced. This approach uses a neutral expression as baseline and makes it possible to train on any emotion separately by assigning belief values. To test whether this new approach has a similar performance to classification systems, three methods are used on the CK+ database to classify 7 emotions and neutral. Method 1 classifies facial expressions in the classical way. Method 2 classifies facial expressions from data where a neutral expression is subtracted from and Method 3 takes the regression approach and assigns belief values for every emotion to an expression. To compare the methods, Method 3 classifies an expression as the emotion with the highest belief value. The data is transformed by using PCA and either KNN or KNN-regression with K-Means clustering is used. Method 1 achieves 37.7%, Method 2, 45.1% and Method 3, 41.2%. These results suggest that NES is useful for expression recognition and that NES regression, using only data of one emotion, could prove useful for the future. The low overall recognition accuracy is mostly due to the limited use of pre-processing and feature extraction, which should be more advanced in future works to make more conclusive statements about NES regression. NES regression should not be judged by these results alone, because its classification performance was only for comparison reasons. The use of belief values has many more possibilities for complex system behavior than a single classified label.
Predicting future motion

Predicting the future course of a moving target is invaluable for planning actions. We used trajectory detection in noise to investigate this predictive capability. Using a contrast probe technique, we showed that in noise, contrast increments are more easily seen at the end of the trajectory than at the beginning. Analyses of the contrast data revealed that the improvement at the end of the trajectory was due to a substantial reduction in the number of detectors monitored, as well as to an increase in the gain of detectors responding to the increment. It appears that the first segment of the trajectory acts as an automatic cue that draws attention to subsequent segments of the trajectory, leading to enhanced detectability for predictable motion trajectories.
PFed : Recommending Plausible Federated Queries

Federated SPARQL query processing allows to query multiple interlinked datasets hosted by remote SPARQL endpoints. However, finding pertinent federated queries over a growing number of datasets is challenging. In this paper, we propose PFed, an approach to recommend plausible federated queries based on query logs of different datasets. The problem is not to find similar federated queries, but plausible complementary queries over different datasets. Starting with a real SPARQL query log, PFed stretches the query with real queries from different logs. A generated federated query Q is plausible if an external observer cannot deny that queries in the original logs could be subqueries of Q. PFed relies on data summaries and real SPARQL query logs to generate plausible federated queries. It starts by pruning the queries logs by selecting only queries with joinable predicates. Experimental results with real logs of DBpedia and SWDF demonstrate that PFed is able to prune drastically the logs and recommend realistic federated queries.
Psychotherapy forMilitary-Related PTSD A Review of Randomized Clinical Trials

FINDINGS Two trauma-focused therapies, cognitive processing therapy (CPT) and prolonged exposure, have been the most frequently studied psychotherapies for military-related PTSD. Five RCTs of CPT (that included 481 patients) and 4 RCTs of prolonged exposure (that included 402 patients) met inclusion criteria. Focusing on intent-to-treat outcomes, within-group posttreatment effect sizes for CPT and prolonged exposure were large (Cohen d range, 0.78-1.10). CPT and prolonged exposure also outperformed waitlist and treatment-as-usual control conditions. Forty-nine percent to 70% of participants receiving CPT and prolonged exposure attained clinically meaningful symptom improvement (defined as a 10to 12-point decrease in interviewer-assessed or self-reported symptoms). However, mean posttreatment scores for CPT and prolonged exposure remained at or above clinical criteria for PTSD, and approximately two-thirds of patients receiving CPT or prolonged exposure retained their PTSD diagnosis after treatment (range, 60%-72%). CPT and prolonged exposure were marginally superior compared with non–trauma-focused psychotherapy comparison conditions.
Modelling the fate of micropollutants in the water cycle at urban and peri-urban scale – An integrated perspective towards the impacts of water reuse

: An integrated model was developed, calibrated and validated to predict the fate of micropollutants (MPs) and the human health risks that these substances pose when wastewater is reused for agricultural purposes. Results showed that pharmaceuticals (e.g., the anti-inflammatory drug paracetamol) can form during in-sewer transit from other metabolites and posing a potential risk (Hazard Quotient for infants = 10 -2 ) if wastewater is not treated before irrigation. The model can represent a relevant decision-support tool to plan barriers for reducing the risk associated to MPs.
Fuzzy propositions determination using veracities or how to relate fuzzy logic and probability theories for segmentation

In medical imaging, and more generally in medical information, researches go towards fusion systems. Nowadays, the steps of information source definition, pertinent data extraction and fusion need to be conducted as a whole. In this work, our interest is related to the esophagus inner and outer wall segmentation from ultrasound images sequences. We aim to elaborate a general methodology of data mining that coherently links works on data selection and fusion architectures, in order to extract useful information from raw data. In the presented method, based on fuzzy logic, some fuzzy propositions are defined using physicians a prior knowledge. The use of probability distributions, estimated thanks to a learning base, allows the veracity of these propositions to be qualified. This promising idea enables information to be managed through the consideration of both information imprecision and uncertainty. In the same time, the benefit provided when a prior knowledge source is injected into a fusion based decision system, can be quantified. By considering that, the fuzzyfication process is optimized relatively to a given criteria using a genetic algorithm. We conclude this paper with some preliminary results and outline some further works.
Pressure-dependent efficiency of a condensation particle counter operated with FC-43 as working fluid

The counting efficiency of the TSI CPC 7610 operated with FC-43 as working fluid was investigated for three temperature differences in the pressure range 60–1000hPa.At the standard temperature difference of 17K, the CPC threshold diameter decreases from 20 to 11.5 nm and the maximum counting efficiency increases from ∼ 30% to ∼ 100% as the operating pressure is reduced from 1000hPa down to 60hPa. Calibration with NaCl and H 2SO4 particles indicates that the counting efficiency depends on particle material. Comparing the results with butanol curvesshows thatbutanol yieldsabove200hPamorestablecountingefficiencycurveswith lower thresholddiameters and higher maximum counting efficiencies. However, below 200hPa, FC-43 shows the better performance and can be used at least down to 60hPa. Computational fluid dynamics modelling was carried out to explain some of the observed differences. 2005 Elsevier Ltd. All rights reserved.
The Occurrence of Bacillus cereus in the Pink Line Syndrome Infected Porites lutea Coral

Corals in the genus Porites are among the most dominant scleractinian corals in the coral reef ecosystems yet highly vulnerable to climate change impacts and diseases. In the Kondang Merak and Sempu Strait waters of Indian Ocean, it has been reported that more than 45% of the corals were infected with Pink Line Syndrome (PLS). The objectives of this study are to isolate, morphologically and molecularly characterize, and identify the PLS associated bacteria that infected Porites lutea coral. The sampling was performed at the Kondang Merak waters in June 2018 by snorkeling during low tide. In order to isolate and purify the dominant bacterial colony, quadrants streak-plating technique was performed using ZoBell marine agar culture media. 16S rRNA sequencing and BLAST homology were performed for the molecular identification of the bacterial colony. Results showed that the bacterial colony associated with PLS was of Bacillus cereus, which was closely related to Bacillus pseudomycoides, Bacillus toyonensis and Bacillus thuringensis with 97% similarity. The occurrence of B. cereus bacterium in the PLS infected P. lutea demonstrated that this opportunistic pathogen might be responsible for the PLS in the P. lutea coral. Nat. Env. & Poll. Tech. Website: www.neptjournal. com Received: 12-08-2018 Accepted: 09-12-2018
Measuring the Impact of Microfinance in Hyderabad, India

Policy Issue: Microcredit is one of the most visible innovations in anti-poverty policy in the last half-century, and in three decades it has grown dramatically. Now with more than 200 million borrowers,1 microcredit has undoubtedly been successful in bringing formal financial services to the poor. Many believe it has done much more and, by putting money into the hands of poor families (and often women), it has the potential to increase investments in health and education and empower women. Skeptics, however, see microcredit organizations as extremely similar to the old fashioned money-lenders, making their profits based on the inability of the poor to resist the temptation of a new loan. They point to the large number of very small businesses created, with few maturing into larger businesses, and worry that they compete against each other. Until recently there has been very little rigorous evidence to help arbitrate between these very different viewpoints.