Miracle-dz/UniFAR-FTUs huggingface dataset:
PicSOM Experiments in TRECVID 2018

This year, the PicSOM group participated only in the Video to Text (VTT), Description Generation subtask. For our submitted runs we used either the MSR-VTT dataset only, or MS COCO and MSR-VTT jointly for training. We used LSTM recurrent neural networks to generate descriptions based on multi-modal features extracted from the videos. We submitted four runs: • PICSOM 1: uses ResNet features for initialising the LSTM generator, and object and scene-type detection features as persistent input to the generator which is trained on MS COCO + MSR-VTT, • PICSOM 2: uses ResNet and object detection features for initialisation, and is trained on MS COCO + MSR-VTT, this is the only run based on our new PyTorch codebase, • PICSOM 3: uses ResNet and video category features for initialisation, and trajectory and audio-visual embedding features for persistent features, trained on MSR-VTT only, • PICSOM
The Routledge Companion to Management Information Systems

the situation are congruent with the object of resist - ance or when their dissuasive messages are credible in the eyes of the users that resistance will decrease. These results stress the importance of implementers understanding the phe - nomenon of resistance, in particular of why users resist a new IT. They also stress the impor - tance of researchers’ contributions to that understanding by developing explanatory models of resistance
Mapping and explaining the productivity of Pinus radiata in New Zealand

In New Zealand Pinus radiata D. Don is the most widely distributed commercial forestry species covering an estimated 1.8 million hectares. Plantation forests comprise 6% of New Zealand’s total land area and P. radiata contributes 91% of the national plantation estate (NZFOA, 2005). In addition to the important contribution of wood and wood fibre to the New Zealand economy, the sequestration of carbon by forest plantations, given New Zealand’s commitment to the Kyoto protocol (UNFCCC, 1998), is extremely important. Given the economic and environmental importance of the P. radiata species, mapping the spatial distribution of forest productivity is of considerable use in determining the site suitability for conventional forestry, carbon sequestration, or renewable energy.
Overview of the 1st international competition on plagiarism detection

: The 1st International Competition on Plagiarism Detection, held in conjunction with the 3rd PAN workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse, brought together researchers from many disciplines around the exciting retrieval task of automatic plagiarism detection. The competition was divided into the subtasks external plagiarism detection and intrinsic plagiarism detection, which were tackled by 13 participating groups. An important by-product of the competition is an evaluation framework for plagiarism detection, which consists of a large-scale plagiarism corpus and detection quality measures. The framework may serve as a uniﬁed test environment to compare future plagiarism detection research. In this paper we describe the corpus design and the quality measures, survey the detection approaches developed by the participants, and compile the achieved performance results of the competitors.
On the Relation of Test Smells to Software Code Quality

Test smells are sub-optimal design choices in the implementation of test code. As reported by recent studies, their presence might not only negatively affect the comprehension of test suites but can also lead to test cases being less effective in finding bugs in production code. Although significant steps toward understanding test smells, there is still a notable absence of studies assessing their association with software quality. In this paper, we investigate the relationship between the presence of test smells and the change-and defect-proneness of test code, as well as the defect-proneness of the tested production code. To this aim, we collect data on 221 releases of ten software systems and we analyze more than a million test cases to investigate the association of six test smells and their co-occurrence with software quality. Key results of our study include:(i) tests with smells are more change-and defect-prone, (ii) "Indirect Testing", "Eager Test", and "Assertion Roulette" are the most significant smells for change-proneness and, (iii) production code is more defect-prone when tested by smelly tests.
Transformation on Computer-Generated Facial Image to Avoid Detection by Spoofing Detector

Making computer-generated (CG) images more difficult to detect is an interesting problem in computer graphics and security. While most approaches focus on the image rendering phase, this paper presents a method based on increasing the naturalness of CG facial images from the perspective of spoofing detectors. The proposed method is implemented using a convolutional neural network (CNN) comprising two autoencoders and a transformer and is trained using a black-box discriminator without gradient information. Over 50% of the transformed CG images were not detected by three state-of-the-art spoofing detectors. This capability raises an alarm regarding the reliability of facial authentication systems, which are becoming widely used in daily life.
Search-based Automatic Image Annotation Using Geotagged Community Photos

In the Web 2.0 era, platforms for sharing and collaboratively annotating images with keywords, called tags, became very popular. Tags are a powerful means for organizing and retrieving photos. However, manual tagging is time consuming. Recently, the sheer amount of user-tagged photos available on the Web encouraged researchers to explore new techniques for automatic image annotation. The idea is to annotate an unlabeled image by propagating the labels of community photos that are visually similar to it. Most recently, an ever increasing amount of community photos is also associated with location information, i.e., geotagged. In this thesis, we aim at exploiting the location context and propose an approach for automatically annotating geotagged photos. Our objective is to address the main limitations of state-of-the-art approaches in terms of the quality of the produced tags and the speed of the complete annotation process. To achieve these goals, we, first, deal with the problem of collecting images with the associated metadata from online repositories. Accordingly, we introduce a strategy for data crawling that takes advantage of location information and the social relationships among the contributors of the photos. To improve the quality of the collected user-tags, we present a method for resolving their ambiguity based on tag relatedness information. In this respect, we propose an approach for representing tags as probability distributions based on the algorithm of Laplacian score feature selection. Furthermore, we propose a new metric for calculating the distance between tag probability distributions by extending Jensen-Shannon Divergence to account for statistical fluctuations. To efficiently identify the visual neighbors, the thesis introduces two extensions to the state-of-the-art image matching algorithm, known as Speeded Up Robust Features (SURF). To speed up the matching, we present a solution for reducing the number of compared SURF descriptors based on classification techniques, while the accuracy of SURF is improved through an efficient method for iterative image matching. Furthermore, we propose a statistical model for ranking the mined annotations according to their relevance to the target image. This is achieved by combining multi-modal information in a statistical framework based on Bayes' rule. Finally, the effectiveness of each of mentioned contributions as well as the complete automatic annotation process are evaluated experimentally.
Time, clocks, and the ordering of events in a distributed system

The concept of one event happening before another in a distributed system is examined, and is shown to define a partial ordering of the events. A distributed algorithm is given for synchronizing a system of logical clocks which can be used to totally order the events. The use of the total ordering is illustrated with a method for solving synchronization problems. The algorithm is then specialized for synchronizing physical clocks, and a bound is derived on how far out of synchrony the clocks can become.
Lotteries in Student Assignment: An Equivalence Result

This paper formally examines two competing methods of conducting a lottery in assigning students to schools, motivated by the design of the centralized high school student assignment system in New York City. The main result of the paper is that a single and multiple lottery mechanism are equivalent for the problem of allocating students to schools in which students have strict preferences and the schools are indifferent. In proving this result, a new approach is introduced, that simplifies and unifies all the known equivalence results in the house allocation literature. Along the way, two new mechanisms -- Partitioned Random Priority and Partitioned Random Endowment -- are introduced for the house allocation problem. These mechanisms generalize widely studied mechanisms for the house allocation problem and may be appropriate for the many-to-one setting such as the school choice problem.
Relationship between geographical location and evaluation of developer contributions in github

Background Open source software projects show gender bias suggesting that other demographic characteristics of developers, like geographical location, can negatively influence evaluation of contributions too. Aim This study contributes to this emerging body of knowledge in software development by presenting a quantitative analysis of the relationship between the geographical location of developers and evaluation of their contributions on GitHub. Method We present an analysis of 70,000+ pull requests selected from 17 most actively participating countries to model the relationship between the geographical location of developers and pull request acceptance decision. Results and Conclusion We observed structural differences in pull request acceptance rates across 17 countries. Countries with no apparent similarities such as Switzerland and Japan had one of the highest pull request acceptance rates while countries like China and Germany had one of the lowest pull request acceptance rates. Notably, higher acceptance rates were observed for all but one country when pull requests were evaluated by developers from the same country.
Two unusually large pre-transitional tonguefish larvae (Pleuronectiformes: Cynoglossidae: Symphurus) from oceanic waters near the Galápagos Islands

Two, exceptionally large (51.0 and 36.6 mm SL), pre-transitional larval tonguefishes, collected in the water column and near surface waters overlying deep oceanic waters off the Galapagos Islands, are described and compared with larval stages and adults of eastern Pacific species of Symphurus. The larger specimen, Symphurus varius Garman, 1899, features a 1-3-3 pattern of interdigitation of proximal dorsal fin pterygiophores and neural spines (ID pattern), 12 caudal fin rays, 95 dorsal fin rays, 78 anal fin rays, 51 vertebrae, and 5 hypurals. This first known larval S. varius is also the largest known unmetamorphosed larva of the Cynoglossidae. The smaller larva is Symphurus melanurus Clark, 1936 based on its 1-5-3 ID pattern, meristic features, long protruding gut, and pigmentation. It represents the first known larva of S. melanurus and first occurrence of S. melanurus from the Galapagos Islands region. whether large pre-transitional larvae are typical for S. melanurus and S. varius, or merely represent individuals having undergone delayed metamorphosis, will be confirmed when additional specimens become available. Symphurus varius is known only from the Galapagos Islands and other oceanic islands in the eastern tropical pacific, thus capture of a larval S. varius near these offshore islands is not unexpected. Large size and oceanic occurrence of the pre-transitional stage S. melanurus, an inshore species, strongly suggest an expatriated individual from coastal seas having undergone delayed metamorphosis.
SAR-SIFT: A SIFT-Like Algorithm for SAR Images

The scale-invariant feature transform (SIFT) algorithm and its many variants are widely used in computer vision and in remote sensing to match features between images or to localize and recognize objects. However, mostly because of speckle noise, it does not perform well on synthetic aperture radar (SAR) images. In this paper, we introduce a SIFT-like algorithm specifically dedicated to SAR imaging, which is named SAR-SIFT. The algorithm includes both the detection of keypoints and the computation of local descriptors. A new gradient definition, yielding an orientation and a magnitude that are robust to speckle noise, is first introduced. It is then used to adapt several steps of the SIFT algorithm to SAR images. We study the improvement brought by this new algorithm, as compared with existing approaches. We present an application of SAR-SIFT to the registration of SAR images in different configurations, particularly with different incidence angles.
Vitamin E Supplementation Counters the Hepatotoxic Effects of Tramadol on Male Wistar Rats

This study investigated the effect of vitamin E on serum liver enzymes and bilirubin concentrations of male Wistar rats treated with tramadol on the background that tramadol is widely abused and has been reported to cause oxidative damage to the liver. Twenty male Wistar rats (180-200g) were randomly assigned into four groups of five rats each: Control (0.2mL olive oil as vehicle), tramadol-treated group (Tra) (20mg/kg of tramadol), vitamin E-treated group (Vit E) (100mg/kg of vitamin E) and tramadol+vitamin E-treated group (Tra+Vit E) (received tramadol and vitamin E). Drugs were administered orally, once daily for twenty-eight days after which the rats were sacrificed and blood samples collected and used for measurement of serum concentrations of liver enzymes (AST, ALT and ALP) and bilirubin. Serum concentrations of AST, ALT, ALP, total bilirubin (TB) and unconjugated bilirubin (UCB) were significantly increased (p<0.05) in Tra compared with control and decreased (p<0.05) in Tra+Vit E compared with Tra. Serum concentration of conjugated bilirubin (CB) and percentage conjugation of bilirubin decreased significantly (p<0.01) in Tra compared with control but was not significantly different between Tra and Tra+Vit E. Tramadol therefore altered liver function and vitamin E supplementation was able to counter these alterations but could not counter the negative effect of tramadol on conjugation of bilirubin.
Understanding an enriched multidimensional user relevance model by analyzing query logs

Modeling multidimensional relevance in information retrieval (IR) has attracted much attention in recent years. However, most existing studies are conducted through relatively small‐scale user studies, which may not reflect a real‐world and natural search scenario. In this article, we propose to study the multidimensional user relevance model (MURM) on large scale query logs, which record users' various search behaviors (e.g., query reformulations, clicks and dwelling time, etc.) in natural search settings. We advance an existing MURM model (including five dimensions: topicality, novelty, reliability, understandability, and scope) by providing two additional dimensions, that is, interest and habit. The two new dimensions represent personalized relevance judgment on retrieved documents. Further, for each dimension in the enriched MURM model, a set of computable features are formulated. By conducting extensive document ranking experiments on Bing's query logs and TREC session Track data, we systematically investigated the impact of each dimension on retrieval performance and gained a series of insightful findings which may bring benefits for the design of future IR systems.
Context is king: The developer perspective on the usage of static analysis tools

Automatic static analysis tools (ASATs) are tools that support automatic code quality evaluation of software systems with the aim of (i) avoiding and/or removing bugs and (ii) spotting design issues. Hindering their wide-spread acceptance are their (i) high false positive rates and (ii) low comprehensibility of the generated warnings. Researchers and ASATs vendors have proposed solutions to prioritize such warnings with the aim of guiding developers toward the most severe ones. However, none of the proposed solutions considers the development context in which an ASAT is being used to further improve the selection of relevant warnings. To shed light on the impact of such contexts on the warnings configuration, usage and adopted prioritization strategies, we surveyed 42 developers (69% in industry and 31% in open source projects) and interviewed 11 industrial experts that integrate ASATs in their workflow. While we can confirm previous findings on the reluctance of developers to configure ASATs, our study highlights that (i) 71% of developers do pay attention to different warning categories depending on the development context, and (ii) 63% of our respondents rely on specific factors (e.g., team policies and composition) when prioritizing warnings to fix during their programming. Our results clearly indicate ways to better assist developers by improving existing warning selection and prioritization strategies.
Homoclinic Points and Homoclinic Orbits for the Quadratic Family of Real Functions with Two Parameters

In this work, we study the homoclinic points and homoclinic orbits of the family of real functions with two parameters. We show that the function has no homoclinic points for , but has a homoclinic point for . Also, we prove that has homoclinic orbits for .
School Climate, Emotional Intelligence, and Cyberbullying Intentions of Adolescents

Adolescents as social media users have not been able to sort out positive activities on social media and tend to have a negative impact that causes cyberbullying behavior. A research of Ministry of Communication and Informatics of UNICEF showed the high percentage of children victims of cyberbullying. An Intensity is related to cyberbullying behavior. The cyberbullying is influenced by external and internal factors. One of internal factors that influences cyberbullying is emotional intelligence. Adolescents who have high emotional intelligence will control their primitive impulses, understand their feelings and be able to avoid negative behavior. In addition, external factor is a school climate. A healthy school climate will create positive emotional attachment to one another and interpersonal responsibilities so that school rules will be a guidance that is applied consistently for school members. The objectives of this study were to find out the description of adolescents’ school climate in Semarang City, to find out the description of adolescents’ emotional intelligence in Semarang City, to find out the correlation between emotional intelligence and cyberbullying behavior of adolescents in Semarang City.
Relationship between Facebook Use and Psychological Well-being for Baccalaureate Nursing Students at Benha University

Background: Facebook as one of the most visited online social networks provides massive opportunities and risk for users. In addition, the extensive use of Internet can increase the problematic effect of new media on students’ psychological well-being. Aim of the study: examine relationship between Facebook use and psychological well-being for baccalaureate nursing students at BenhaUniversity. Research question: What is relationship between Facebook use and psychological well-being for baccalaureate nursing students? Design: Descriptive correlational design was utilized in this study. Setting: This study was conducted at the Faculty of Nursing Benha University. Subjects: This study was carried on all Baccalaureate nursing students. Tools for data collection: Socio-demographic data questionnaire, The Face book Intensity scale and The Ryff’s Psychological Well-Being Scale. Results: results revealed that more than one third of the studied students have moderate score on Facebook intensity scale; while the minority of them has high score . There is a highly statistical significant correlation between Psychological Well-Being and number of Facebook friends and also Facebook is part of their everyday activity. Conclusion: The students with moderate Facebook use will have moderate psychological well-being. In addition, the more time a person spends using the Internet, the more addicted they will be affect our lives. Recommendations: It is necessary to spread awareness among children, youth groups and society at large to encourage the healthiest way to use the Internet in order not to negatively.
Decoupled Meta-Learning with Structured Latents

A key aspect of human and animal intelligence is leveraging a rich variety of past experience in order to adapt quickly to acquire new skills. Meta reinforcement learning (RL) has shown promising results in enabling agents to rapidly adapt to new tasks by using prior experience and can, in principle, learn across broad distribution of tasks. However, in practice, most current methods can only meta-train on very limited task distributions. This is often due to the exploration and optimization challenges that arise when trying to quickly adapt to perform very diverse behaviors, challenges that have also plagued multi-task RL methods [8, 11, 13].
Structure – Function Correlation Using OCT Angiography And Microperimetry In Diabetic Retinopathy

Purpose: To evaluate macular vasculature in diabetic retinopathy (DR) with optical coherence tomography angiography (OCTA) and to correlate vessel density (VD) with retinal sensitivity (RS) as a way to assess structural and functional ﬁ ndings in DR. Design: Prospective observational cross-sectional study. Methods: Diabetic patients with DR but no clinically signi ﬁ cant diabetic macular edema (DME) and healthy subjects were included in this study. All of them underwent comprehensive ophthalmic examination, best corrected visual acuity (BCVA), OCTA with RS-3000 Advance AngioScan (Nidek, Gamagori, Japan) and microperimetry with MP-3 (Nidek, Gamagori, Japan). Retinal vascular density measured by OCT angiography in 9 areas was correlated with RS in the same 9 areas by Spearman correlation. Results: In this study, 50 subjects were enrolled: 25 eyes of diabetic patients with DR and 25 eyes of non-diabetic subjects. Diabetic patients mean age was 51.88±13.62 years; non-diabetic subjects were 43.48±13.42 years. The BCVA was 20/25 in the diabetic group and 20/20 in the non-diabetic group. Mean RS was decreased in the DR group (27.68±2.71 dB) compared to the non-diabetic group (31.68±1.46 dB) (p<0.05) and in the 9 studied areas (p<0.05). Mean VD was decreased in the DR group compared to non-diabetics (p<0.05) and in 7 of the 9 areas (except temporal superior and inferior squares) (p<0.05). Correlations by areas between VD and RS were assessed, we found moderate correlation in the area temporal to the fovea (r=0.501, p=0.01) in the DR group but not in the non-diabetic subjects. There were no other statistical signi ﬁ cant correlations with this pattern. Conclusion: DR without DME results in a retinal VD decreased that might be the cause of a reduction of RS in one of the studied areas. Microangiopathic changes are correlated with microperimetry sensitivity drop in the temporal to the fovea grid but not in the other studied grids.