Miracle-dz/UniFAR-FTUs huggingface dataset:
Noise Power Prediction of Air Flow with Obstruction through Subsonic Wind Tunnel

This paper estimates noise power generated by a turbulent air flow in a duct from the knowledge of mean quantities (average velocity and sound pressure level). The sound excitation by fluid flow through duct can be used to predict fluid behavior. However, the fluid flow container stability has to be taken in account simultaneously with fluid flow effect on sound generation and propagation. The experimental system used in this work is air flow through subsonic wind tunnel duct. The sound pressure levels of air flows through test section of subsonic wind tunnel (at three air flow velocities 2.5, 7.3 and 12.5 m/s) respectively were carried out experimentally. The sound excitation or generation by air flow throughout the test section of subsonic wind tunnel without any obstruction can't be used to imagine the fluid behavior. To predict fluid flow properties, an infinite cylinder was immersed in order to obstruct the air flow and generate new source of sound. This case is relevant to a wide range of engineering applications including aircraft landing gear, rail pantographs and automotive side-mirrors. The results discuss the effect of Reynolds number on the sound generation, propagation features and vice-versa. The results are compared with other researchers which gives a good agreement.
Effect of mild hypothermia on expression of inflammatory factors in surrounding tissue after minimally invasive hematoma evacuation in the treatment of hypertensive intracerebral hemorrhage

Mild hypothermia combined with minimally invasive hematoma evacuation was evaluated in the treatment of hypertensive intracerebral hemorrhage to reduce inflammatory response of brain tissue around hematoma and ameliorate brain function, and to investigate its safety, effectiveness and feasibility. A total of 206 patients with acute spontaneous hypertensive intracerebral hemorrhage were collected clinically and randomly divided into minimally invasive hematoma evacuation group (group A) and mild hypothermia combined with minimally invasive hematoma evacuation (group B). The National Institutes of Health Stroke Scale (NIHSS) score was used before and after treatment. Group A was treated with minimally invasive intracranial hematoma evacuation using intracranial hematoma grinding puncture needle while group B received whole body water circulation type cooling blanket plus local cerebral mild hypothermia therapy with ice cap on the basis of minimally invasive surgery. Patients brain tissue fragments around hematoma taken out with rinsing during operation and at postoperative 1, 3 and 7 days were investigated. The contents of tumor necrosis factor-α (TNF-α) in serum at postoperative 1, 3 and 7 days were evaluated by enzyme-linked immunosorbent assay (ELISA). For the degree of nerve function defect of patients in the two groups, NIHSS score was lower in group B than that in group A at days 3 and 7, and the differences were statistically significant (P<0.05). The serum TNF-α content and expression of nuclear factor-κB (NF-κB) in brain tissue around hematoma reached the peak on the 3rd day. The TNF-α content and NF-κB expression were lower in group B than those in group A at each time-point (P<0.05). Mild hypothermia combined with minimally invasive hematoma evacuation can reduce the damage of hematoma to the surrounding brain tissue, effectively alleviate inflammatory response and decrease brain tissue injury, thus ameliorating brain function.
Malware Detection System using ID3 Algorithm for Android

: The popularity of Android OS for mobile is inviting the threats such as malwares. The term ‘malware’ is defined as variety of form of intrusive software. Malware is any program or data which affects the working of a device. Thus malware detection is the invigorating issue in the computer security. To avoid the malware attacks different anti-malwares are also have been developed. But there is a need to evaluate these anti-malwares which can be done by using Droid Chameleon. Droid Chameleon does the transformation of malwares automatically and helps to check the efficiency of anti-malware. Here we propose a system that identifies the malicious apps affected due to malwares. The permissions given by android apps are used as the dataset. The ID3 algorithm is used to apply mining on these datasets i.e. training is provided to generate the trained dataset. The Admin will take care of new entries of malwares as well as apps in the database. The results are shown as whether the given app is malicious or not.
Contamination Parts and Residue Levels of Multi-Mycotoxins in Medicinal and Edible Locust

Locust is esteemed as a traditional Chinese medicine, as well as one of the most important nutritional foods especially in Asian countries. However, some toxic secondary metabolites such as mycotoxins are usually found in different parts of locust to affect its quality and safety. This study aimed to investigate the aflatoxins (AFs) contaminated parts by observing Aspergillus flavus, spores’ diameter, amount and distribution on head, tentacle, wing, belly and shank parts of the locust with scanning electron microscopy (SEM). Furthermore, to assess the residue levels of multi-mycotoxins in the locust, the high performance liquid chromatography with fluorescence detection (HPLC-FLD) was adopted. The technique was used to determine the contents of AFs, zearalenone (ZON) and α-zearalenol (α-ZOL) in locust and the positive samples were confirmed by high performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). The chromatographic conditions, MS/MS parameters and the method of sample extraction were carefully optimized. Results revealed that obvious differences of Aspergillus flavus strains and spores were found, while the spores’ diameter ranged from 3.0 to 13.0 μm in different contaminated parts of the locust samples. The HPLC-FLD method for multi-mycotoxins analysis showed good selectivity, linearity, recovery and precision. Limits of quantification (LOQs) were lower than 27.6 μg/kg, while limits of detection (LODs) were in the range of 0.02–8.6 μg/kg. The accuracy of the developed method was validated regarding recoveries of 80.1–118.1% with relative standard deviation (RSD) ≤ 11.4%. Finally, the developed multi-mycotoxin method was applied for screening of these mycotoxins in 11 commercial locust samples. Only AFB1 and AFB2 were found in six samples, and the contamination levels ranged from 0.12 to 4.4 μg/kg, which were lower than the maximum residue limit and can be used safely. This is the first report on the exploration of contamination parts and levels of multi-mycotoxins in medicinal and edible locust. The combined method of SEM and HPLC-FLD exhibited advantages of low cost, high sensitivity, rapid determination, convenience and especially intuitive judgment, which is proposed for contamination parts observation, for the large-scale quantification of multi-mycotoxins in other medicinal animal matrices.
A Multilingual Dataset for Evaluating Parallel Sentence Extraction from Comparable Corpora

Comparable corpora can be seen as a reservoir for parallel sentences and phrases to overcome limitations in variety and quantity encountered in existing parallel corpora. This has motivated the design of methods to extract parallel sentences from comparable corporad. Despite this interest and work, no shared dataset has been made available for this task until the 2017 BUCC Shared Task. We present the challenges faced to build such a dataset and the solutions adopted to design and create the 2017 BUCC Shared Task dataset, emphasizing issues we had to cope with to include Chinese as one of the languages. The resulting corpus contains a total of about 3.5 million distinct sentences in English, French, German, Russian, and Chinese, mostly from Wikipedia. We illustrate the use of this dataset in the shared task and summarize the main results obtained by its participants. We ﬁnally outline remaining issues.
Green Wi-Fi Management: Implementation on Partially Overlapped Channels

The channel assignment in the non-overlapped channel space may result in low spatial utilization and non-uniform Wi-Fi performance, which makes it difficult to cater to the rapid increase in Wi-Fi devices as well as wireless traffic demand. In this paper, we propose a Green Wi-Fi management framework for an enterprise environment in order to densely deploy the access points (APs), to appropriately turn off a portion of the APs and coordinate the APs with the partially overlapped channels (POCs). Commencing with a power monitoring experiment, we first demonstrate that energy efficiency can be achieved when clients connect the Internet with fewer APs, followed by a channel assignment experiment showing that the dense deployment of APs with POCs is capable of improving the overall channel capacity. In order to balance the energy consumption and the network capacity, the concept of AP pattern is proposed to denote the active APs and their corresponding POCs allocated including a backtracking Tabu search algorithm for yielding alternative AP patterns. Furthermore, relying on the alternative AP patterns considered, a reinforcement learning aided algorithm is presented for determining the optimal AP pattern in terms of the active interference measurement. Finally, extensive field experiments are conducted to evaluate our Green Wi-Fi framework.
Survey of Eating Disorder in Relation to Waist-to-Hip Ratio and Waist-to-Height Ratio among School Going Children

The purpose of this study was to survey the eating disorder in relation to waist-to-hip ratio and waist-to-height ratio among school going children of Gwalior city.A total of hundred (N = 100) male subjects from Kendriya Vidyalayas of Gwalior city studying in classes from 10th to 12th standard with age ranged from 14 to 18 years were selected for this study. All the subjects were examined for eating disorder, waist-to-hip ratio and waist-to-height ratio. Results revealed that majority of subjects in eating attitude test fall under unlikely, waist hip ratio fall under the ideal-very low risk, while extremely slim category in waist-to-height ratio. Further, pearson product moment correlation result revealed that eating disorder was significantly correlated with waist –tohip ratio (0.261; p<0.05) as well as waist-to-height ratio (0.242; p<0.05). Therefore, it may be concluded that waist hip ratio and waist-to-height ratio can be used as a predictor for eating disorder. There are many plausible reasons behind the school going children are being suffering from eating disorder. Developing good practices early in life, will benefited in future.
Open abdomen critical care management principles: resuscitation, fluid balance, nutrition, and ventilator management

The term “open abdomen” refers to a surgically created defect in the abdominal wall that exposes abdominal viscera. Leaving an abdominal cavity temporarily open has been well described for several indications, including damage control surgery and abdominal compartment syndrome. Although beneficial in certain patients, the act of keeping an abdominal cavity open has physiologic repercussions that must be recognized and managed during postoperative care. This review article describes these issues and provides guidelines for the critical care physician managing a patient with an open abdomen.
Performance criteria of optimal sensing algorithm for time-varying spectrum

The requirement of real-time processing indeed poses challenges on implementing spectrum sensing algorithms, especially for time-varying spectrum environments. The time-varying feature of the spectrum for wireless communication countermeasure system is analyzed. And the mathematical model of the time-varying spectrum is proposed. With the help of adaptive filtering theory, the performance criteria of optimal spectrum sensing algorithm is proposed, in which the total error was composed by sensing error and lag error. The objective of the real-time spectrum sensing algorithm is to minimize the summation of sensing error and lag error. Finally, the proposed performance criterion was used to guide the channel estimation of intelligent frequency hopping communication system.
Conversational Analysis using Utterance-level Attention-based Bidirectional Recurrent Neural Networks

Recent approaches for dialogue act recognition have shown that context from preceding utterances is important to classify the subsequent one. It was shown that the performance improves rapidly when the context is taken into account. We propose an utterance-level attention-based bidirectional recurrent neural network (Utt-Att-BiRNN) model to analyze the importance of preceding utterances to classify the current one. In our setup, the BiRNN is given the input set of current and preceding utterances. Our model outperforms previous models that use only preceding utterances as context on the used corpus. Another contribution of the article is to discover the amount of information in each utterance to classify the subsequent one and to show that context-based learning not only improves the performance but also achieves higher confidence in the classification. We use character- and word-level features to represent the utterances. The results are presented for character and word feature representations and as an ensemble model of both representations. We found that when classifying short utterances, the closest preceding utterances contributes to a higher degree.
Rivaroxaban for Stroke Prevention after Embolic Stroke of Undetermined Source

Background Embolic strokes of undetermined source represent 20% of ischemic strokes and are associated with a high rate of recurrence. Anticoagulant treatment with rivaroxaban, an oral factor Xa inhibitor, may result in a lower risk of recurrent stroke than aspirin. Methods We compared the efficacy and safety of rivaroxaban (at a daily dose of 15 mg) with aspirin (at a daily dose of 100 mg) for the prevention of recurrent stroke in patients with recent ischemic stroke that was presumed to be from cerebral embolism but without arterial stenosis, lacune, or an identified cardioembolic source. The primary efficacy outcome was the first recurrence of ischemic or hemorrhagic stroke or systemic embolism in a time‐to‐event analysis; the primary safety outcome was the rate of major bleeding. Results A total of 7213 participants were enrolled at 459 sites; 3609 patients were randomly assigned to receive rivaroxaban and 3604 to receive aspirin. Patients had been followed for a median of 11 months when the trial was terminated early because of a lack of benefit with regard to stroke risk and because of bleeding associated with rivaroxaban. The primary efficacy outcome occurred in 172 patients in the rivaroxaban group (annualized rate, 5.1%) and in 160 in the aspirin group (annualized rate, 4.8%) (hazard ratio, 1.07; 95% confidence interval [CI], 0.87 to 1.33; P=0.52). Recurrent ischemic stroke occurred in 158 patients in the rivaroxaban group (annualized rate, 4.7%) and in 156 in the aspirin group (annualized rate, 4.7%). Major bleeding occurred in 62 patients in the rivaroxaban group (annualized rate, 1.8%) and in 23 in the aspirin group (annualized rate, 0.7%) (hazard ratio, 2.72; 95% CI, 1.68 to 4.39; P<0.001). Conclusions Rivaroxaban was not superior to aspirin with regard to the prevention of recurrent stroke after an initial embolic stroke of undetermined source and was associated with a higher risk of bleeding. (Funded by Bayer and Janssen Research and Development; NAVIGATE ESUS ClinicalTrials.gov number, NCT02313909.)
Differences Associated With Hearing Impairment in Adults

Speech comprehension depends on the successful operation of a network of brain regions. Processing of degraded speech is associated with different patterns of brain activity in comparison with that of high-quality speech. In this exploratory study, we studied whether processing degraded auditory input in daily life because of hearing impairment is associated with differences in brain volume. We compared T1-weighted structural magnetic resonance images of 17 hearing-impaired (HI) adults with those of 17 normal-hearing (NH) controls using a voxel-based morphometry analysis. HI adults were individually matched with NH adults based on age and educational level. Gray and white matter brain volumes were compared between the groups by region-of-interest analyses in structures associated with speech processing, and by whole-brain analyses. The results suggest increased gray matter volume in the right angular gyrus and decreased white matter volume in the left fusiform gyrus in HI listeners as compared with NH ones. In the HI group, there was a significant correlation between hearing acuity and cluster volume of the gray matter cluster in the right angular gyrus. This correlation supports the link between partial hearing loss and altered brain volume. The alterations in volume may reflect the operation of compensatory mechanisms that are related to decoding meaning from degraded auditory input.
Identifying motherhood and its effect on female labour force participation in South Africa.

The objective of this thesis is to investigate the relationship between motherhood and women's labour force participation in South Africa. The key problem in estimating this relationship is the endogeneity of motherhood/childbearing with respect to women's labour force participation. Childbearing behaviour and decisions to participate in the labour force are jointly determined; and unobservable characteristics which influence childbearing behaviour are also correlated with women's labour force participation. This thesis shows that the definition of motherhood can exacerbate these sources of endogeneity bias. International studies typically identify mothers as women with biological children aged 18 years or younger who are co-resident with at least one of their children. In South Africa, however, a sizeable sample of women is not co-resident with their children. The remaining sample of co-resident mothers are a non-random sample of all mothers who are less likely to participate in the labour force than all mothers. Placing a co-residency restriction on motherhood therefore biases the relationship between motherhood/childbearing and labour force participation. In particular, it overestimates the negative relationship. In the international literature instrumental variable (IV) estimation has been used to disentangle these causal mechanisms. This thesis also considers an application of same sex sibling composition, first introduced by Angrist and Evans (1998), as a strategy to identify the exogenous effects of childbearing on women's labour force participation in South Africa. Little or no research has investigated this relationship in South Africa. One possible explanation for this is that studies on female labour force participation in South Africa have not been able to match women to their children with the datasets that have been analysed: most nationally representative household surveys in South Africa do not contain detailed birth history information. The first part of this thesis analyses what data are available to identify women with children and the quality of these data; it also outlines four different methods to match women to their children using these data. The second part of this thesis investigates the relationship between motherhood/childbearing and women's labour force participation in South Africa.
Direct-imaging discovery of a 12–14 Jupiter-mass object orbiting a young binary system of very low-mass stars

Context. Though only a handful of extrasolar planets have been discovered via direct imaging, each of these discoveries had tremendous impact on our understanding of planetary formation, stellar formation and cool atmosphere physics. Aims. Since many of these newly imaged giant planets orbit massive A or even B stars we investigated whether giant planets could be found orbiting low-mass stars at large separations. Methods. We have been conducting an adaptive optic imaging survey to search for planetary-mass companions of young M dwarfs of the solar neigbourhood, to probe dierent initial conditions of planetary formation. Results. We report here the direct imaging discovery of 2MASS J01033563-5515561ABb, a 12-14 MJup companion at a projected separation of 84 AU from a pair of young late M stars, with which it shares proper motion. We also detected a Keplerian-compatible orbital motion. Conclusions. This young L-type object at planet/brown dwarf mass boundary is the rst ever imaged around a binary system at a separation compatible with formation in a disc.
COLLABORATION ROUTINES

This thesis deals with routines for collaboration among specialists from different domains in healthcare. Healthcare policy is increasingly directed at transforming clinical healthcare into an interdisciplinary organization where diverse medical specialists collaborate in delivering complete treatments to the patient. However, as both practice and research repeatedly reports, achieving interdisciplinary collaboration is difficult. Due to the divides in knowledge and practice which exist between the medical disciplines, multidisciplinary clinics do not automatically lead to collaboration involving integration of disciplinary knowledge. Based on recent conceptualizations of organizational routines as sources of both stability and flexibility, this thesis concentrates on the type of routines that enable collaboration across domain boundaries. Collaboration routines, as they are called here, are suggested to support the interdisciplinary clinic in making use of its diversity in knowledge and practice. The thesis is comprised of four papers, including three empirical case studies of clinical healthcare. The combined findings indicate that collaboration routines support idea generation, testing of new joint practices and trial-and-error learning. Contrary to the common underlying conception of routines as blueprints, these findings bring to the surface an underlying logic of shared learning. Collaboration routines continuously support the formation and maintenance of shared cognition and shared motivation among different domain specialists, thereby assuming a function of continuous routinizing. The thesis contributes to the literature on routines by advancing research on how routines can support collaboration across domain boundaries within an organization.