Miracle-dz/UniFAR-FTUs huggingface dataset:
Bacillus sp. QSI-1 Modulate Quorum Sensing Signals Reduce Aeromonas hydrophila Level and Alter Gut Microbial Community Structure in Fish

Quorum sensing (QS) is a cell density dependent process that enables bacteria to communicate with each other based on the production, secretion and sensing of the auto-inducer molecules and then subsequently regulate virulence associated gene expression. Interrupting quorum sensing may represent a novel alternative approach to combat bacterial pathogen. Several bacteria can produce quorum quenching (QQ) enzymes. However, the role of QQ bacteria in shaping the microbiota and the level of N-acyl-homoserine lactones (AHLs, a prevalent type of QS molecules) producing bacteria remains largely unknown. The objective of this study was to examine the presence of AHLs in the fish intestine and investigate the modulation of gut microbiota and its effect on Aeromonas hydrophila level by a QQ enzyme producing probiotic Bacillus sp. QSI-1. AHLs were found in fish gut content and were confirmed in Aeromonas species using Chromobacterium violaceum CV026 and Agrobacterium tumefaciens AT 136 (pZLR4) as reporter strains. We demonstrated that the composition of fish gut microbiota was affected by quenching bacteria QSI-1, and the percentage of A. hydrophila was decreased significantly. Taken together, these results provide valuable insights into QQ enzyme producing probiotics can modulate the microbiota structure and decrease the percentage of AHL-producing pathogenic bacteria in the gut. These data strongly suggest that QQ probiotics may serve as non-antibiotic feed additive in aquaculture to control bacterial diseases.
An Ellipsoidal 3D Shape Representation and Wavelet Transform Feature Descriptor for 3D Shape Retrieval

For the year of past most three-dimensional objects are represented and mapped with spherical function. Since the mapping preserves important criteria such as geometrical information of a 3D object, the representation of a 3D shape in a suitable way is an important matter for 3D object retrieval. In many circumstances, spherical surface fitting to a 3D shape does not approximate very well, because of their limited degree of divergence by their radius only. Whereas, in the case of ellipsoid definition we get three axes, which gives us a free mapping along each of x, y and z axes . Due to higher degree of freedom ellipsoid give better approximation for a given 3D shape than sphere which lead to a less error and higher discriminant shape descriptor for retrieval of 3D shape. In this paper, we describe a new 3D shape representation method based on ellipsoid for the purpose of 3D shape retrieval. And we demonstrate our experimental result tested on standard 3D shape Princeton Shape Benchmark (PSB) database, inferring new wavelet shape descriptor of the represented 3D shape function on ellipsoid. Our experimental results support our expectation of our proposed hypothesis.
Web information retrievals: An excellent image portal with automated hidden tag to image

The main goal of our research is to invent a new Web Image Search Portal with more innovation. We aim to search and retrieve the matched images from the uploaded online images with the help of Auto hidden tag method using the RANSAC algorithm through Open Computer Vision. We implemented a new system using the object detection process in an image using the openCV technique. When a user posting their images, if they forget to comment on all the objects present in the image also our proposed system will detect all the object present in the image using object detection algorithm, then this object will be extracted from the image and recognized with large dataset by using RANSAC algorithm. This system will be very useful to the end user in required image retrieval process, even images which are not labeled or tagged by the upload user also retrieved in this system. Auto hidden tagging process with visual feature extraction and the comparison is the main technique used in this system.
The Long Wind of Change. Educational Impacts on Entrepreneurial Intentions

In this paper, we assess educational factors which might have an impact on entrepreneurship. We analyze influences on the entrepreneurial intentions of German university students and find that pre-university education significantly affects their desire to become an entrepreneur. Using the recent German history of separation and reunification as quasi-natural experiment, we focus on the early formation of entrepreneurial endowments during adolescence and investigate whether pre-university education affects university students' entrepreneurial intentions. Particularly, we analyze the impact of socialization and schooling under the socialist regime of the former German Democratic Republic (GDR) which might hamper entrepreneurship. Our results show that socialist education has a negative effect on the entrepreneurial intentions of students in reunified Germany who were brought up in the GDR. When analyzing the subsample of East German students who were partly educated in the FRG after reunification in 1990, we find that some years of education in the liberal market system increase the entrepreneurial intentions of students born in the GDR. We focus on university students, since universities are seen as potential "breeding ground" for innovative entrepreneurship as described by Schumpeter (1912). Here we assume according to Falck et al. (2009) that entrepreneurial intentions are a good predictor for future entrepreneurship. We use data from a regularly repeated survey among university students in Germany. Our analysis rests on the three waves conducted after reunification at 23 universities, in (the former socialist) East as well as in West Germany. Generally, German students have significantly lower entrepreneurial intentions when they were educated in the GDR. We further restrict our sample to mobile students at West German universities and still find a negative effect of socialist education. This effect is also robust to the inclusion of a rich set of control variables concerning the students' family background, job experience as well as further measures for their educational training. Overall, being educated in the socialist GDR decreases the likelihood of having entrepreneurial intentions between around 4 and 7 percentage points Thus our findings suggest that adolescents' education might act as effective measure to stimulate entrepreneurship.
Camouflaged fraud detection in domains with complex relationships

We describe a data mining system to detect frauds that are camouflaged to look like normal activities in domains with high number of known relationships. Examples include accounting fraud detection for rating and investment, insider attacks on corporate networks, and health care insurance fraud. Our goal is to help analysts who are overwhelmed with information about companies or on-line system access logs or insurance claims to focus their attentions on features that cause damage in the future. We focused on accounting fraud where the task is to detect the subset of companies that were potentially committing accounting fraud within the total population of public companies that file quarterly and annual filings with the Securities and Exchange Commission (SEC). Using (a) Representation of changes, (b) A mix of decision tree learning, locally weighted logistic regression, k-means clustering, and constant regression in a two phase pipe line, we developed models that rank companies based on the probability of forecasting future damaging performance. The learned models were tested extensively over four years with public data available from SEC filings and private data available from rating companies and investment firms. Cross validation experiments and analyst based validation of private experiments were found to show that the approach performed as well as or better than domain experts and discovered new relationships that domain experts did not use on a regular basis. Finally, the detections preceded public knowledge of such problems by six to eighteen months.
Extracting unique patterns from human actions

Human walks, runs, dances and left behind interesting information on their actions. This paper presents how chaotic dynamics help to interpret and classify human actions. The trajectories of two legs are extracted during a motion such as walk. These trajectories of foot points are collected from an artificial human video arrangement. Each dimension of trajectory represents a time series. The phase space for each time series is reconstructed using appropriate time delay and dimension. The plot exhibited a characteristic trajectory representing the regularity of the time series. Analysis of time series obtained in human with three different motions revealed that the trajectory behaves in such a way that the time series is governed with a deterministic rule. Unique patterns are observed for a particular motion. This can be revealed from the phase space and self organizing map (SOM) network. The motions (walk, run, and jump) can be categorized in terms of different shape of phase space and output of the SOM network. The results are validated with correlation dimension. These representations are very useful in classifying the human motions.
Comparative Genomic Hybridization Selection of Blastocysts for Repeated Implantation Failure Treatment: A Pilot Study

The aim of this study is to determine if the use of preimplantation genetic screening (PGS) by array comparative genomic hybridization (array CGH) and transfer of a single euploid blastocyst in patients with repeated implantation failure (RIF) can improve clinical results. Three patient groups are compared: 43 couples with RIF for whom embryos were selected by array CGH (group RIF-PGS), 33 couples with the same history for whom array CGH was not performed (group RIF NO PGS), and 45 good prognosis infertile couples with array CGH selected embryos (group NO RIF PGS). A single euploid blastocyst was transferred in groups RIF-PGS and NO RIF PGS. Array CGH was not performed in group RIF NO PGS in which 1-2 blastocysts were transferred. One monoembryonic sac with heartbeat was found in 28 patients of group RIF PGS and 31 patients of group NO RIF PGS showing similar clinical pregnancy and implantation rates (68.3% and 70.5%, resp.). In contrast, an embryonic sac with heartbeat was only detected in 7 (21.2%) patients of group RIF NO PGS. In conclusion, PGS by array CGH with single euploid blastocyst transfer appears to be a successful strategy for patients with multiple failed IVF attempts.
Sharing and Analyzing Data from Presence Experiments

Presence research relies heavily on empirical experiments involving subjects in mediated environments. Since presence is a complex, multidimensional concept, experiments on presence can be extremely resource intensive and produce large amounts of data of different types. As the presence community matures, we would like to suggest that data collected in experiments be made publicly available to the community. This will allow the verification of experimental results, comparison of results of experiments carried out in different laboratories, and evaluation of new data-analysis methods. This will, eventually, lead to consistency in approaches and increased confidence in results. In this paper we present the complete dataset from a large-scale experiment that we have carried out in highly immersive virtual reality. We describe the data we have gathered and give examples of the types of analysis that can be made based on that data.
Address Space Layout Permutation

Address space randomization is an emerging and promising method for stopping a broad range of memory corruption attacks. By randomly shifting critical memory regions at process initialization time, a memory layout randomization scheme converts an otherwise successful malicious attack into a benign process crash. Recent work[7] has shown that current randomization schemes can be bruteforced attacked. Such attacks are possible because of the lack of sufficient randomness in current schemes. We propose Address Space Layout Permutation (ASLP) that introduces higher entropy with minimal performance overhead. Our evaluation result shows that the randomized applications by ASLP incur less than 1% performance overhead with orders of magnitude improvement in randomness up to 29 bits of randomness on a 32-bit architecture.
Online Environmental Activism in South Africa: A Case Study of the #IAM4RHINOS Twitter Campaign

The microblogging platform Twitter allows users to read and deliver short pieces of information called tweets. With the growth of social networks and various new media technologies, both locally and internationally, websites like Twitter have become platforms for activist groups to disseminate their messages, gather support, and start policy-related petitions championing a specific cause. The Internet and digital technologies open the door for everyday citizens to rally support for an initiative, and in so doing create large networked communities of normal people with shared beliefs. This article presents observations about the use of Twitter during the 2013 #Iam4rhinos conservation campaign. The article draws on data generated from Twitter users who participated in the campaign, which will be studied through a qualitative content analysis. Using the 2013 #Iam4rhinos Twitter campaign as a case study, this article traces some of the trends that emerged over the course of the 10 day initiative. The article also examines the online environmental activism landscape in South Africa, determining the power of retweets in message diffusion and highlighting the importance of regular users who, through their ardent support of the initiative, emerged as prominent influencers.
Chirality-dependent G-band Raman intensity of carbon nanotubes

The chirality-dependent G-band Raman intensity of single wall carbon nanotubes is calculated using a nonresonant theory for the Raman tensor. We obtain six or three intense Raman modes, respectively, for chiral or achiral nanotubes, whose relative intensities depend on the chiral angle of the nanotube. The longitudinal and transverse optical phonon modes in two-dimensional graphite become, respectively, transverse and longitudinal optical phonon modes in a one-dimensional nanotube. Confocal micro-Raman measurements of individual single wall carbon nanotubes show chirality-dependent spectra of the G-band intensity, as predicted by this theory.
Virtual Environments in Training : NASA ’ s Hubble Space Telescope Mission

Virtual environment (VE) technology was used to construct a model of the Hubble Space Telescope (HST) and those elements that were replaced or serviced during the December, 1993 repair and maintenance mission conducted by the National Aeronautics and Space Administration (NASA). The VE also included the payload bay of the Space Shuttle and the fixtures used for transporting replacement systems into orbit. Beginning in September, 1993, approximately 100 members of the NASA HST flight team received over 200 hours of training using the VE. In addition to faithfully replicating the physical structure of the HST and the interrelationships of many of its elements, the VE also modeled the constraints associated with all maintenance and repair procedures. For the first time, a VE was integrated with a limited capability Intelligent Computer-Aided Training (ICAT) system. The ICAT component of the training provided identification of all relevant features of the HST, monitored procedures carried out by the trainees in real time, and intervened with assistance in response to procedural errors or requests for assistance. Data collected from trainees, after completion of the HST mission, demonstrated that, for most trainees, the VE training enhanced t he effectiveness of their job performance. The results of this project serve to define the future role of VEs in training within NASA and to provide evidence that VEs can successfully support training in the performance of complex procedural tasks.
Retrospective Examination of Q Fever Endocarditis: An Underdiagnosed Disease in the Mainland of China

Background: Q fever endocarditis, a chronic illness caused by Coxiella burnetii, can be fatal if misdiagnosed or left untreated. Despite a relatively high positive rate of Q fever serology in healthy individuals in the mainland of China, very few cases of Q fever endocarditis have been reported. This study summarized cases of Q fever endocarditis among blood culture negative endocarditis (BCNE) patients and discussed factors attributing to the low diagnostic rate. Methods: We identified confirmed cases of Q fever endocarditis among 637 consecutive patients with infective endocarditis (IE) in the Peking Union Medical College Hospital between 2006 and 2016. The clinical findings for each confirmed case were recorded. BCNE patients were also examined and each BCNE patient's Q fever risk factors were identified. The risk factors and presence of Q fever serologic testing between BCNE patients suspected and unsuspected of Q fever were compared using the Chi-squared or Chi-squared with Yates’ correction for continuity. Results: Among the IE patients examined, there were 147 BCNE patients, of whom only 11 patients (7.5%) were suspected of Q fever and undergone serological testing for C. burnetii. Six out of 11 suspected cases were diagnosed as Q fever endocarditis. For the remaining136 BCNE patients, none of them was suspected of Q fever nor underwent relevant testing. Risk factors for Q fever endocarditis were comparable between suspected and unsuspected patients, with the most common risk factors being valvulopathy in both groups. However, significantly more patients had consulted the Infectious Diseases Division and undergone comprehensive diagnostic tests in the suspected group than the unsuspected group (100% vs. 63%, P = 0.03). Conclusions: Q fever endocarditis is a serious yet treatable condition. Lacking awareness of the disease may prevent BCNE patients from being identified, despite having Q fever risk factors. Increasing awareness and guideline adherence are crucial in avoiding misdiagnosing and missed diagnosing of the disease.
Superconductivity in Ca-intercalated epitaxial graphene on silicon carbide

We have prepared Ca-intercalated multilayer epitaxial graphene films on silicon carbide and observed superconductivity in them with both magnetic and transport measurements. Superconducting transition has been detected at temperature up to 7 K in Ca-intercalated epitaxial graphene with the thickness down to 10 layers grown on both Si-face and C-face of silicon carbide. The result demonstrates intercalated epitaxial graphene as a good platform to study graphene-based superconductivity.
Unsafe Standardization

Software safety standards should lead the industry to use the best computer science and software engineering possible to make safety claims for which we can provide credible evidence. The computing community has been writing standards for safety-critical software for at least a quarter century. The committee structures have been established, the standardization processes put in place, and the standards drafted, debated, agreed upon, and published. Several standards for safety-critical software have been updated more than once. Two important standards, IEC: 61508 and DO-178, are currently being revised. The standardization processes are well established, run smoothly, and involve many sincere and professional experts.
Efficacy of Acupuncture in Children with Nocturnal Enuresis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Background. Nocturnal enuresis (NE) is recognized as a widespread health problem in young children and adolescents. Clinical researches about acupuncture therapy for nocturnal enuresis are increasing, while systematic reviews assessing the efficacy of acupuncture therapy are still lacking. Objective. This study aims to assess the effectiveness of acupuncture therapy for nocturnal enuresis. Materials and Methods. A comprehensive literature search of 8 databases was performed up to June 2014; randomized controlled trials which compared acupuncture therapy and placebo treatment or pharmacological therapy were identified. A meta-analysis was conducted. Results. This review included 21 RCTs and a total of 1590 subjects. The overall methodological qualities were low. The results of meta-analysis showed that acupuncture therapy was more effective for clinical efficacy when compared with placebo or pharmacological treatment. Adverse events associated with acupuncture therapy were not documented. Conclusion. Based on the findings of this study, we cautiously suggest that acupuncture therapy could improve the clinical efficacy. However, the beneficial effect of acupuncture might be overstated due to low methodological qualities. Rigorous high quality RCTs are urgently needed.
Heart and lung sound separation using periodic source extraction method

In this paper a novel algorithm for blind source extraction of quasi-periodic signals is developed. It is assumed that the cycle frequencies of the sources are known a priori. Necessary and sufficient conditions are introduced and Jacobi method for diagonalization of complex matrices is used to find the solution. A warping method is also introduced to adjust the cycle frequencies in the signals with time varying periods. The proposed algorithm is applied to simulated data and mixtures of heart and lung sounds, and effectiveness and performance of the algorithm are verified.
A Cooperative Optimization Algorithm Based on Gaussian Process and Particle Swarm Optimization for Optimizing Expensive Problems

In many engineering optimization problems, like design optimization or structure parameters identification, fitness evaluation is very expensive and time consuming. This problem limited the applications of standard evolutionary computation methods in real-world engineering. A cooperative optimization algorithm (GP-PSO) based on Gaussian process (GP) machine learning and Particle Swarm Optimization (PSO) algorithm is presented in this paper for solving computationally expensive optimization problem. Gaussian process is used to predict the most promising solutions before searching the global optimum solution using PSO during each iteration step. The study result indicates GP-PSO algorithm clearly outperforms standard PSO algorithm with much less fitness evaluations on benchmark functions. The result of application to a real-world engineering problem also suggests that the proposed optimization framework is capable of solving computationally expensive optimization problem effectively.
DUTIR at the Session Track in TREC 2011

This paper presents the DUTIR submission to TREC 2011 Session Track, the task is to test whether systems can improve their performance for a given query by using previous queries and user interactions with the retrieval system. We use language model as the basic retrieval model. Query Expansion is applied to reformulate the original query. Some other technologies like Pseudo Relevance Feedback (PRF) are also applied. The results show that our methods are effective, but the results of Query Expansion method using previous queries and user interactions are unanticipated.