Miracle-dz/UniFAR-FTUs huggingface dataset:
Predicting the Interest in News Based on Image Annotations

In recent years, theWorldWideWeb has changed from text-focused web pages to multi-media sources featuring photos, videos, and audio. The worldwide growth of broadband connections has facilitated this trend and supports the spread of user-generated content. Navigating and finding interesting content has become a difficult challenge. In this paper, we present approaches which use visual features to predict how interesting a news article will be. This task is part of the NewsREEL Multimedia challenge. The challenge provides a large-scale data set of news items, images, and interactions. We implement a recommender system which can distinguish interesting articles from irrelevant ones based on image features. We evaluate the system’s throughput and predictions. We explain our insights and outline ideas to apply the gained knowledge in additional domains.
A Quality Assurance Methodology for ChEBI Ontology Focusing on Uncommonly Modeled Concepts

The Chemical Entities of Biological Interest (ChEBI) ontology is an important knowledge source of chemical entities in a biological context. ChEBI is large and complex, making it almost impossible to be error-free, given the scarce resources for quality assurance (QA). We present a methodology to locate concepts in ChEBI with a high probability of being erroneous. An Abstraction Network, which provides a compact summarization of an ontology, supports the methodology. By investigating a sample of ChEBI concepts, we show that uncommonly modeled concepts residing in small units of the Abstraction Network of ChEBI are statistically significantly more likely to have errors than other concepts. The finding may guide ChEBI ontology curators to focus their limited QA resources on such concepts to achieve a better QA yield. Furthermore, this study, combined with previous work, contributes to progress in showing that this methodology can be applied to a whole family of similar ontologies. Keywords—ChEBI; chemical ontology; chemical concept; quality assurance; modeling error;
IM-JAIC at MediaEval 2018 Emotional Impact of Movies Task

In this paper, we describe our approach to subtask 2 of the Emotional Impact of Movies task from the Mediaeval 2018 Challenge. We compared the performances of LSTM ensembles to single LSTM models for predicting the fear-inducing seconds in movies. We also compared the performance of an LSTM model trained on audio feature data to the performance of an LSTM model trained on the outputs of a pretrained VGG16 model. Ultimately, we found that a single LSTM trained on VGG16 outputs achieved the highest F1 score on the test set.
Automated Killstreak Extraction in CS: GO Tournaments

This paper describes a system for automated killstreak extraction in CS:GO tournaments. It uses a metadata and content-based approach for identification of the killstreaks. Inaccurate timestamps in the provided metadata of the tournament resulted in almost unusable detection results. Therefore, a content-based technique has been developed to extract the correct highlight videos. The results are merged into a summary video with a multi-view perspective of the event stream, the actor’s view and the views of the victims. Due to the content-based approach, the multi-view video could be synchronised nearly frame accurate.
Deep Learning Approaches for Flood Classification and Flood Aftermath Detection

This paper presents the method proposed by team UTAOS for MediaEval 2018 Multimedia Satellite Task: Emergency Response for Flooding Events. In the first challenge, we mainly rely on object and scene level features extracted through multiple deep models pre-trained on the ImageNet and Places datasets. The object and scene-level features are combined using early, late and double fusion techniques achieving an average F1-score of 60.59%, 63.58% and 65.03%, respectively. For the second challenge, we rely on a convolutional neural networks (CNNs) and a transfer learning-based classification approach achieving an average F1-score of 62.30% and 61.02% for run 1 and run 2, respectively.
Planteome & BisQue: Automating Image Annotation with Ontologies using Deep-Learning Networks

Author(s): Trigkakis, D; Todorovic, S; Preece, J; Meier, A; Elser, J; Jaiswal, P; Kvilekval, K; Fedorov, D; Manjunath, BS | Editor(s): Jaiswal, Pankaj; Cooper, Laurel; Haendel, Melissa A; Mungall, Christopher J
Robot Manipulators: Modeling, Performance Analysis and Control

This book presents the most recent research results about the modeling and control of robot manipulators. - Chapter 1 gives unified tools to derive direct and inverse geometric, kinematic and dynamic models of serial robots and addresses the issue of identification of the geometric and dynamic parameters of these models. - Chapter 2 describes the main features of parallel robots, the different architectures and the methods used to obtain direct and inverse geometric, kinematic and dynamic models paying special attention to singularity analysis. - Chapter 3 introduces global and local tools for performance analysis of serial robots. - Chapter 4 presents an original optimization technique for point-to-point trajectory generation accounting for the robot dynamics. - Chapter 5 presents standard control techniques in the joint space and task space for free motion (PID, computed torque, adaptive dynamic control, and variable structure control), and constrained motion (compliant force-position control). - In chapter 6, the concept of vision-based control is developed and Chapter 7 is devoted to specific issue of robots with flexible links. Efficient recursive Newton-Euler algorithms for both inverse and direct modeling are presented, as well as control methods ensuring position setting and vibration damping.
Nonlinear Acoustics Through Problems and Examples

The fundamentals of nonlinear acoustics are presented in form of problems followed by solutions, explanations and answers. As distinct from existing textbooks, this book of problems not only helps the reader to become familiar with nonlinear wave processes and the methods of their description, but contributes to mastering calculation procedures and obtaining numerical estimates of the most significant parameters. Thereby, skills are acquired which are indispensable for carrying out original scientific research. This book can be useful to undergraduate and postgraduate students and researchers working in the field of nonlinear wave physics and acoustics.
Evaluation of a new differential test for enterococci in the clinical laboratory.

Summary An identification method based on the failure of methicillin (5 μg) and oxacillin (1 μg) disks to inhibit enterococci on Mueller-Hinton Agar was evaluated. All strains tested of Streptococcus faecalis and its varieties and of S. faecium grew up to the edge of the disks; inhibition of S. faecium var. durans and of S. bovis was variable. In contrast, S. equinus and almost all streptococci not belonging to group-D streptococci showed inhibition zones of 10 mm or more. The methicillin test seems suitable for use in the clinical laboratory in view of the scarcity of S. faecium var. durans, S. bovis and S. equinus in pathological material from man and of the margin of error of the traditional tests for enterococci.
Extracción de una terminología multilingüe de Wikipedia

Disseny i avaluacio d'un algorisme que extrau una terminologia multilingue fent servir com a font d'informacio Wikipedia, i ordena els termes per termhood fent servir una versio modificada de l'algorisme de PageRank de Google.
A new mapping function in table-mounted eye tracker

Eye tracker is a new apparatus of human-computer interaction, which has caught much attention in recent years. Eye tracking technology is to obtain the current subject’s "visual attention (gaze)” direction by using mechanical, electronic, optical, image processing and other means of detection. While the mapping function is one of the key technology of the image processing, and is also the determination of the accuracy of the whole eye tracker system. In this paper, we present a new mapping model based on the relationship among the eyes, the camera and the screen that the eye gazed. Firstly, according to the geometrical relationship among the eyes, the camera and the screen, the framework of mapping function between the pupil center and the screen coordinate is constructed. Secondly, in order to simplify the vectors inversion of the mapping function, the coordinate of the eyes, the camera and screen was modeled by the coaxial model systems. In order to verify the mapping function, corresponding experiment was implemented. It is also compared with the traditional quadratic polynomial function. And the results show that our approach can improve the accuracy of the determination of the gazing point. Comparing with other methods, this mapping function is simple and valid.
A Portrait of the Library: A Fine History

The Elam School of Fine Arts amalgamated with Auckland University College in 1950, bringing with it a small collection of art books. From these beginnings the Fine Arts Library has developed into the well-funded and reputable arts library that exists today. Throughout its history the Library has supported the Elam School of Fine Arts and later the Department of Art History and has in turn been integrated into and supported by The University of Auckland Library system. This research utilised an historical case study approach to identify and analyse how this web of interconnected relationships has influenced the development, maintenance, and future of a specialised art library. The findings illustrate that, while the Elam School of Fine Arts and the Department of Art History have experienced considerable curricular and administrative changes, these have not had a significant impact on the efficiency and value of the Library. The Fine Arts Library’s collection and services have consistently supported and enhanced the teaching and research needs of these two entities. Despite accommodation, staffing and funding challenges, the Fine Arts Librarians and Library staff, succeeded in establishing a comprehensive and nationally recognised art library with a strong, vibrant and unique culture.
The role of clinical ethics consultations for physical therapy practice

Abstract Background and purpose: As autonomous practitioners, and as part of multidisciplinary health teams, physical therapists encounter unique and complex ethical challenges. Frameworks and models of ethical decision-making have been developed to assist therapists to integrate ethical theory and principles with the needs, experiences, and opportunities of their patients and patient communities. However, there is little in the way of clinically based courses and practical approaches to assist physical therapists to recognize and respond to the ethical issues that they encounter in their everyday practice. Objectives: This paper proposes clinical ethics consultations as a practical mechanism to assist physical therapists to identify and negotiate the ethical dimensions of their everyday practice. Clinical ethics consultations aim to resolve conflict, facilitate communication, and ease moral distress in health care. The strategies used are to identify common ground between differing values expressed, use questions to examine harms and benefits of clinical actions, and model approaches for thinking about and framing ethical challenges and facilitating participants to see their own positions relative to others. Three narratives highlighting ethical issues in physical therapy clinical practice are used to demonstrate how a clinical ethics consultation might provide a structured exploration of ethical issues. Conclusions: To develop capacity for moral action in everyday practice, therapists need skills in clarifying their ethical values and professional moral obligations and ultimately, to make decisions which are in the best interests of their patients. Clinical ethics consultations are one way to advance this area of professional practice.
Unmet needs of male prisoners under the care of prison Mental Health Inreach Services

Recent government policy has emphasised the importance of a patient centred approach, based on individual needs, in service design and planning. Mental Health Inreach Services (MHIS) have been developed in UK prisons, designed on the principle of providing equivalence of care to community mental health teams (CMHTs). To date no studies have systematically examined the needs of patients on MHIS caseloads, let alone obtained these prisoner–patient views of their needs. This study is the first to describe the self-reported ratings of needs of male prisoners (n = 151) under the care of prison MHIS in the UK, using the forensic version of the Camberwell Assessment of Need Forensic – Short Version (CANFOR-S). Inmate medical records were examined and prisoners were interviewed to obtain their ratings of their needs. The results showed that prisoners on MHIS caseload have six needs on average, of which almost half (2.6) are unmet. The most frequent unmet needs were for: daytime activities, psychotic symptoms, psychological distress and accommodation. The findings have implications for commissioning and resource allocation for this population.
Parallel granularity selection technique for high performance SAR imaging program

High performance parallel simulation programs need adopt parallel optimizing techniques to achieve efficient performance acceleration.And achieving appropriate parallel granularity according to the characteristics of given program is the basis of parallel optimizing technique.Therefore,represented by a typical Synthetic Aperture Radar(SAR) imaging program,namely Range-Doppler(RD),the authors researched into parallel granularity selection techniques for high performance SAR imaging programs.Especially,two important components were researched,including the basic rules of parallel granularity selection and the parallel granularity selection approach of RD algorithm.The experimental results show that according to the selected parallel granularity,the SAR imaging program can achieve obvious performance improvement and high scalability.
Algoritmos bioinspirados en la planeación off-line de trayectorias de robots seriales

The main purpose of off-line path planning in serial robotics is to give the robot’s endeffector the needed path so it can move along its own workspace and accomplish different assigned tasks through a virtual environment where the robot and its own context (obstacles, machines, etc) is simulated. In this paper, a review of the techniques traditionally used in the development and optimization of off-line path planning optimization for serial robots is presented. The paper highlights the goodness and the multidisciplinary character of the bio-inspired algorithms, which stems from their use as a search and optimization tool for problem solving in different knowledge areas. Finally, the main applications in off-line path planning are explained together with its bio-inspired algorithms, which have made contributions as an alternative for both the search and optimization of solutions in serial robot path planning.
Detection of p53, Bax, Rb, p16 and Human Papillomavirus DNA in Betel Quid Associated Oral Squamous Cell Carcinoma in Myanmar

Chronic betel quid chewing has a strong correlation with oral cancer. In order to examine relationship of p53 and p16, and the prevalence of human papillomavirus (HPV), we studied p53, Bax, p16INK4a, Rb and HPV prevalence using forty-seven cases of betel quid associated oral squamous cell carcinoma (OSCC) in Myanmar. HPV was detected by polymerase chain reaction (PCR), using primers MY09 / MY11 and L1C1 / L1C2 and L1C2m. Immunohistochemically, 59.6% were p53-positive and Bax-negative, and 68.0% were p16INK4a-negative and Rb-positive. HPV DNA was detected in only 14.9% of all OSCCs. The expression of p53/Bax relation (P<0.01) and p16INK4a/Rb relation (P<0.001) were found in betel quid associated OSCCs when compared with normal mucosa. Therefore, betel quid plays a critical role in oral carcinogenesis in Myanmar.
Parallel Performance of MPI Based Parallel FDTD on NUMA Architecture Workstation

This paper introduces a parallel FDTD (Finite Difference Time Domain) algorithm based on MPI (Message Passing Interface) parallel environment and NUMA (Non-Uniform Memory Access) architecture workstation. The FDTD computation is carried out independently in local meshes in each process. The data are exchanged by communication between adjacent subdomains to achieve the FDTD parallel method. The results show the consistency between serial and parallel algorithms, and the computing efficiency is improved effectively.
Baseline Characterization and Annual Trends of Body Mass Index for a Mega-Biobank Cohort of US Veterans 2011–2017

Aim: Million Veteran Program (MVP) is the largest ongoing mega-cohort biobank program in the US with 570,131 enrollees as of May 2017. The primary aim is to describe demographics, military service, and major diseases and comorbidities of the MVP cohort. Our secondary aim is to examine body mass index (BMI), a proxy for general health, among enrollees. Materials and Method: The study population consists of Veterans who actively use the Veterans Health Administration in the US. Data evaluated in this paper combine health information from multiple sources to provide the most comprehensive demographic profile and information on height and weight of MVP enrollees. A standardized cleaning algorithm was used to curate the demographic variables for each participant in MVP. For height and weight, we derived a final data point for each participant to evaluate BMI. Statistical Analysis Used: Multivariable logistic regression was used to compare the differences in BMI categories across enrollment years adjusting for gender, race, and age. P < 0.05 was considered statistically significant. All analyses were conducted using Statistical Analysis System 9.2. Results: The MVP cohort consists of 90.4% of males with an average age of 61.9 years (standard deviation [SD] = 13.9). MVP is the largest multiethnic biobank cohort within the Veteran population with 73.9% White, 19.0% Black, and 6.5% Hispanic. The most common self-reported disease was hypertension (62.6%) for males and depression (47.5%) for females. Mean BMI was 29.7 kg/m2 (SD = 5.8) with 38.2% obese and 42.3% overweight. Conclusions: Our findings suggest that demographic representation in MVP is similar to the Veterans Health Administration population and contrasts with the overall National Health and Nutrition Examination Survey US population. The prevalence of overweight and obese is high among US Veterans, and future studies will examine the role of BMI and disease risk in the Veteran population.
Interactive Models for Design of Software-Intensive Systems

The two paradigm shifts from mainframes in the 1950s-1970s to personal computers in the 1980s and networked mobile devices in the 2000s can be conceptually modeled by paradigm shifts from algorithms to sequential interaction and then to distributed (multi-agent, collaborative) interaction. Interactive models provide a domain-independent unifying view of the design space for the design of softwareintensive systems (DSIS). The irreducibility of interactive behavior to algorithms is a primary cause of the software crisis. Moreover, it also explains the di‐culty among both theorists and practitioners in establishing integrated principles and models of computation for DSIS technology. The artifacts of design are less often tools and more often systems that interact with other systems. These systems are increasingly complex and increasingly characterized by emergent, unpredictable behavior. By enunciating the interactive modeling principles for DSIS, our work provides a foundation on which the science of software design can be built and points out directions for future research.
Comparison of Lipid Profile in Obese-Hypertensive and Non Hypertensive

Obesity is one of the world's health problems. The increase in obesity is associated with increasing degenerative diseases such as hypertension. Hypertension is one of the main risk factors for mortality in the world. One of comorbid disease in patients with hypertension will increase mortility is dyslipidemia or disorder of lipid profiles. The aim of this study to determine the comparison in lipid profiles between obesehypertensive and non hypertensive. A cross-sectional study was carried out among forty obese participants. Blood pressure measurement using a mercury sphygmomanometer. Hypertension was defined as systolic blood pressure (SBP) up to 140 mmHg and/or diastolic blood pressure (DBP) up to 90 mmHg. Serum lipid profiles such as total cholesterol (TC), lowdensity lipoprotein (LDL), triglycerides (TG) and high density lipoprotein (HDL were measured using the cobas 6000, series 501 after subjects had fasted for 12 hours. The results shows that seventeen of obese participants were hypertensive and twenty three were non hypertensive. The TC, LDL and TG levels increases in obese hypertensive more than in non-hypertensive while HDL decreases in hypertensive patients. The TC and TG level (mg/dl) in obese hypertensive compared in obese non hypertensive were 203.64 vs 183.25; 168.70 vs 112.91 which the independent-samples t test showed significant different. The present findings show that serum total cholesterol and triglyceride levels are significant changes in obese hypertensive patients than in obese non hypertensive. Keywords—Lipid profiles; blood presusure, obese hypertensive, obese non hypertensive
Epidemiology of Mental Disorders, Use of Service, and Treatment Gap in Chile

The World Health Organization (WHO) estimates place Chile among the countries with the highest burden of disease from neuropsychiatric illnesses (23.2 percent) in the world. Major depression and alcohol use disorders rank first and second in attributed disability among adults. Nearly one-third of the population over 15 years of age has had a psychiatric disorder in their lifetime and 22.2 percent have had one in the past year. Anxiety disorders are the most prevalent, followed by major depression and alcohol use disorders. Only 38.5 percent of those with a diagnosis receive any kind of mental health service, whether from a specialist or primary care physician. In children and adolescents, the prevalence of any psychiatric disorder is 22.5 percent (19.3 percent for boys and 25.8 percent for girls). These are mainly anxiety and disruptive disorders. Their prevalence is higher among 4 to 11 year olds (27.8 percent) than 12 to 18 year olds (16.5 percent). This difference is mainly a result of disruptive disorders. The prevalence of anxiety disorders is the second highest cause but is less associated with impairment, whereas most children and adolescents with affective disorders are impaired. Only around one-fifth of the subjects in need of services seek some form of assistance. Nearly one-quarter of those using services do not present a psychiatric diagnosis in the past year. Comorbidity occurs in 27 percent of those with a disorder, but only 7 percent have three or more diagnoses. Not addressing the treatment gap in mental health has serious public health implications.