Miracle-dz/UniFAR-FTUs huggingface dataset:
Toward Subjective Violence Detection in Videos

Violence detection in videos aims to identify whether a violent action occurred within a video stream. Effective tools for intelligent video analysis are highly demanded, specially to determine violence in video streams. Such solution could have applications in detecting inappropriate behaviors in video feeds, aiding law-enforcement in forensic cases, protecting children from accessing inappropriate online content and helping parents making informed decisions about what their kids should watch. Prior art on violence detection, particularly recently proposed deep learning based ones, seeks to identify violence in videos as a whole, without considering breaking down the subject into some of its underlying concepts. In this paper, we explore a different methodology of violence detection, which relies upon two deep neural network (DNNs) frameworks to learn spatial-temporal information on video clips under different scenarios — subjective- and conceptual-based. We leverage deep feature representations for each specific concept, and aggregate them by training a shallow neural network as a binary-classification problem to describe violence as a whole. Finally, we show that using more specific concepts is an intuitive and effective solution, besides being complementary to form a more robust definition of violence.
Transport of pigs.

The Scottish Agricultural College (SAC) has produced a useful information and training booklet for drivers involved in the transport of pigs. This is aimed at supporting the Scottish Pig Industry Initiative by providing up-to-date information on transport legislation. The booklet is a spin-off from a training package developed by the SAC and can be used on its own in the training, assessment and certification of competence of professional livestock drivers (as required under the Welfare of Animals [Transport] Order 1997).
Financial Advisors: A Case of Babysitters?

We use two data sets, one from a large brokerage and another from a major bank, to ask: (i) whether financial advisors are more likely to be matched with poorer, uninformed investors or with richer and experienced investors; (ii) how advised accounts actually perform relative to self-managed accounts; (iii) whether the contribution of independent and bank advisors is similar. We find that advised accounts offer on average lower net returns and inferior risk-return tradeoffs (Sharpe ratios). Trading costs contribute to outcomes, as advised accounts feature higher turnover, consistent with commissions being the main source of advisor income. Results are robust to controlling for investor and local area characteristics. The results apply with stronger force to bank advisors than to independent financial advisors, consistent with greater limitations on bank advisory services.
Waveform Modeling by Adaptive Weighted Hermite Functions

Modern medical science demands sophisticated signal representation methods in order to cope with the increasing amount of data. Important criteria for these methods are mainly low computational and storage costs, whereas the underlying mathematical model should still be interpretable and meaningful for the data analyst. One of the most promising models fulfilling these criteria is based on Hermite functions, however having some important limitations for specific biomedical wave shapes. We extend this model by using weighted Hermite functions and develop a gradient based constrained optimization method to adapt the system for different types of signals. In order to demonstrate the potential of our approach, we consider the problem of electrocardiogram signal compression. The experiments on the MIT/BIH arrhythmia database show a significant improvement compared to the former works using classical Hermite functions.
Mutagenesis of amino acids at two tomato ringspot nepovirus cleavage sites: effect on proteolytic processing in cis and in trans by the 3C-like protease.

Tomato ringspot nepovirus (ToRSV) encodes two polyproteins that are processed by a 3C-like protease at specific cleavage sites. Analysis of ToRSV cleavage sites identified previously and in this study revealed that cleavage occurs at conserved Q/(G or S) dipeptides. In addition, a Cys or Val is found in the -2 position. Amino acid substitutions were introduced in the -6 to +1 positions of two ToRSV cleavage sites: the cleavage site between the protease and putative RNA-dependent RNA polymerase, which is processed in cis, and the cleavage site at the N-terminus of the movement protein, which is cleaved in trans. The effect of the mutations on proteolytic processing at these sites was tested using in vitro translation systems. Substitution of conserved amino acids at the -2, -1, and +1 positions resulted in a significant reduction in proteolytic processing at both cleavage sites. The effects of individual substitutions were stronger on the cleavage site processed in trans than on the one processed in cis. The cleavage site specificity of the ToRSV protease is discussed in comparison to that of related proteases.
Verb-Particle Constructions and Lexical Resources

In this paper we investigate the phenomenon of verb-particle constructions, discussing their characteristics and their availability for use with NLP systems. We concentrate in particular on the coverage provided by some electronic resources. Given the constantly growing number of verb-particle combinations, possible ways of extending the coverage of the available resources are investigated, taking into account regular patterns found in some productive combinations of verbs and particles. We discuss, in particular, the use of Levin's (1993) classes of verbs as a means to obtain productive verb-particle constructions, and discuss the issues involved in adopting such an approach.
Novosphingobium kunmingense sp. nov., isolated from a phosphate mine.

A yellow-pigmented, Gram-stain-negative, strictly aerobic, rod-shaped, round-ended bacterium, designated strain 18-11HK(T), was isolated from a phosphate mine situated in the suburb of Kunming in Yunnan province in south-western China. The taxonomic status of this strain was evaluated by using a polyphasic approach. On the basis of 16S rRNA gene sequence similarity, strain 18-11HK(T) was shown to belong to the genus Novosphingobium, showing the highest levels of sequence similarity with respect to 'Novosphingobium ginsenosidimutans' FW-6 (97.2%), Novosphingobium subterraneum DSM 12447(T) (96.7%), Novosphingobium aromaticivorans DSM 12444(T) (96.7%) and Novosphingobium tardaugens DSM 16702(T) (96.3%). Strain 18-11HK(T) had a genomic DNA G+C content of 65.3 mol% and Q-10 as the predominant respiratory quinone. DNA-DNA hybridizations of strain 18-11HK(T) with N. subterraneum DSM 12447(T), N. aromaticivorans DSM 12444(T) and N. tardaugens DSM 16702(T) showed low relatedness values of 29.6, 33.5 and 32.3%, respectively. The predominant fatty acids of strain 18-11HK(T) were summed feature 8 (C18 : 1ω7c and/or C18: 1ω6c), summed feature 3 (C16 : 1ω7c and/or C16 : 1ω6c) and C16 : 0, and the major 2-hydroxy fatty acid was C14 : 0 2-OH. The polar lipid profile revealed the presence of sphingoglycolipid, phosphatidylethanolamine, phosphatidylglycerol, diphosphatidylglycerol, phosphatidylcholine and some unidentified lipids. On the basis of its phenotypic properties and phylogenetic distinctiveness, strain 18-11HK(T) represents a novel species of the genus Novosphingobium, for which the name Novosphingobium kunmingense sp. nov. is proposed. The type strain is 18-11HK(T) ( = CGMCC 1.12274(T) = DSM 25975(T)).
Acoustic cues to perception of vowel quality

Perceptual and acoustic spaces obtained using MDS and PCA, respectively, for a set of Spanish vowels uttered in various fricative contexts are compared. Acoustic cues to vowel quality were studied through examination of the weights given by PCA to spe-ciﬁc spectral regions. The acoustic space formed by the ﬁrst two formant frequencies was also evaluated. The results show that MDS has serious difﬁculties to be useful for the study of Spanish vowels. PCA offers a gross characterization compared to formant frequencies. Neither of them completely explains the perception of vowel quality.
Hydrogen Bonding and π-Stacking: How Reliable are Force Fields? A Critical Evaluation of Force Field Descriptions of Nonbonded Interactions

We have evaluated the performance of a set of widely used force fields by calculating the geometries and stabilization energies for a large collection of intermolecular complexes. These complexes are representative of a range of chemical and biological systems for which hydrogen bonding, electrostatic, and van der Waals interactions play important roles. Benchmark energies are taken from the high-level ab initio values in the JSCH-2005 and S22 data sets. All of the force fields underestimate stabilization resulting from hydrogen bonding, but the energetics of electrostatic and van der Waals interactions are described more accurately. OPLSAA gave a mean unsigned error of 2 kcal mol(-1) for all 165 complexes studied, and outperforms DFT calculations employing very large basis sets for the S22 complexes. The magnitude of hydrogen bonding interactions are severely underestimated by all of the force fields tested, which contributes significantly to the overall mean error; if complexes which are predominantly bound by hydrogen bonding interactions are discounted, the mean unsigned error of OPLSAA is reduced to 1 kcal mol(-1). For added clarity, web-based interactive displays of the results have been developed which allow comparisons of force field and ab initio geometries to be performed and the structures viewed and rotated in three dimensions.
Monotonic Bayesian Semiparametric Benchmark  Dose Analysis

Quantitative risk assessment proceeds by first estimating a dose‐response model and then inverting this model to estimate the dose that corresponds to some prespecified level of response. The parametric form of the dose‐response model often plays a large role in determining this dose. Consequently, the choice of the proper model is a major source of uncertainty when estimating such endpoints. While methods exist that attempt to incorporate the uncertainty by forming an estimate based upon all models considered, such methods may fail when the true model is on the edge of the space of models considered and cannot be formed from a weighted sum of constituent models. We propose a semiparametric model for dose‐response data as well as deriving a dose estimate associated with a particular response. In this model formulation, the only restriction on the model form is that it is monotonic. We use this model to estimate the dose‐response curve from a long‐term cancer bioassay, as well as compare this to methods currently used to account for model uncertainty. A small simulation study is conducted showing that the method is superior to model averaging when estimating exposure that arises from a quantal‐linear dose‐response mechanism, and is similar to these methods when investigating nonlinear dose‐response patterns.
Running Head : PARENTAL FACTORS AND SWIMMING 1 Parental Factors that Influence Swimming in Children and Adolescents

Swimming can be an important source of physical activity across the life-span. Researchers have found that parents influence physical activity behaviors of their children. The purpose of this study was to determine what parental factors influenced the number of days that children swam. Survey respondents (n=1,909) from six cities across the United States were surveyed at local YMCAs. Children were found to swim significantly more if their parents encouraged them to swim, members of the family knew how to swim and swam with them, their parents were not afraid of them drowning or afraid of drowning themselves. The number of times that parents swam was the strongest predictor of the number of times children swam and explained 41% of the variance. A cyclical, familial pattern was found which included encouragement, fear of drowning and swimming frequency. Introducing strategies to reduce fear of drowning may prove to be an effective intervention to increase physical activity in children.
Fast Edge-consensus Computing Based on Bregman Monotone Operator Splitting

Edge-consensus computing is a framework to optimize a global cost function when distributed nodes observe distinct data sets. The distributed primal-dual method of multipliers (PDMM) and distributed alternating direction method of multipliers (ADMM) find network-global optima for edge-consensus algorithms by exchanging variables rather than data sets among the nodes. Since the distributed PDMM follows traditional Peaceman-Rachford splitting, it has a faster convergence rate than the distributed ADMM. To further speed up the convergence rate, we propose a new edge-consensus computing algorithm based on Bregman Peaceman-Rachford splitting. In traditional Peaceman-Rachford splitting, the variable update is defined based on a Euclidean metric and the convergence rate and is a form of first-order gradient descent. By generalizing the metric to a Bregman divergence and designing the divergence adaptively, our fast edge-consensus computing algorithm corresponds to the Newton or an accelerated gradient descent method. The results of our experiments confirm that the proposed algorithm can significantly improve the convergence rate of edge-consensus computing over state-of-the-art algorithms.
Integrated content and format checking for processing of SCP ECG records

Interoperability between medical devices and between host systems is a key requirement for the establishment of an electronic patient health record. A prerequisite for interoperability is standardisation of message formats and of messaging protocols. We report on the development of testing tools for compliance checks of the SCP-ECG interchange format with the specifications of the CEN standard prENV1064. The presented tools are important for development as well as compliance testing of SCP formatted ECG records. They are necessary to promote the interoperability of important noninvasively gathered cardiac function information. This information is increasingly to be integrated into the electronic patient health record and to be interchanged between the various health care providers. Practical tests in our laboratory provided useful information for our own and external SCP implementations.
Majalaya as the center for textile industry in spatial historical perspectives

At the beginning of the 1930s, the Majalaya region located in Bandung Regency became one of the largest textile producers in West Java, around 60 percent of which was produced by Majalaya. The interesting thing to study, why land conversion functions, from agricultural land to industrial area.Whereas the geographical area of Majalaya in the Citarum watershed was originally known as a fertile agrarian region.This study used the historical method. The historical method had four stages of work, namely heuristics, criticism, interpretation, and historiography. The analysis carried out based on a spatial and anthropological approach. The results of the study show Malajaya as the center of the textile industry since the era of the Dutch East Indies government until the beginning of the New Order experienced its own ups and downs and dynamics. However, indigenous textile entrepreneurs managed to overcome various difficulties such as limited capital, equipment, and various government regulations from the colonial period to the New Order. Even in its limitations the entrepreneurs and workers have creatively diversified their products, and managed to market them to various cities, so they can survive today.
Caractérisation du système anti-phage AbiQ de Lactococcus lactis

v Liste des tableaux . ix Liste des figures . xi Liste des abréviations . xiii Avant-propos . xix Introduction . 1 Bactéries lactiques . 1 Lactococcus lactis . 2 Bactériophages . 6 Classification des phages . 7 Lactophages . 9 Cycle de réplication . 11 Mécanismes anti-phages . 15 1. Inhibition de l'adsorption . 15 2. Bloquer l'injection de génome viral . 17 3. Coupure des acides nucléiques exogènes . 17 4. Avortement de l'infection (Abi) . 20 Systèmes d'avortement de l'infection chez L. lactis . 22 Systèmes toxine-antitoxine (TA) . 27 TA de type I . 29 TA de type II . 30 TA de type III . 33 TA de type IV . 34 TA de type V . 34 AbiQ . 35 Hypothèse de travail. 37 Matériel et méthodes . 39
Studies on the Possible Mechanism of Inactivation of Phenylalanine Hydroxylase by Destructive Oxygen Species

Abstract The enzymic hydroxylation of phenylalanine by phenylalanine hydroxylase (E.C. 1.14.16.1.) in vitro is dependent on the presence of hydrogen peroxide removing processes. The loss of phenylalanine hydroxylase activity can be prevented to the same extent by catalase as well as the presence of optimized amounts of both peroxidase and superoxide dismutase. Peroxidase alone exhibited only two third of the maximal protective effect of catalase whereas superoxide dismutase alone was not able to exert any protective influence on phenylalanine hydroxylase. These findings suggest that the termination of phenylalanine hydroxylation in the absence of hydrogen peroxide removing reactions is probably due to destructive oxygen species generated at the active site iron of phenylalanine hydroxylase in the presence of H2O2 and the tetrahydropterin cofactor.
Growth and persistence of pathogens on granular activated carbon filters

Three enteric pathogens Yersinia enterocolitica O:8, Salmonella typhimurium, and enterotoxigenic Escherichia coli, were examined for their ability to colonize granular activated carbon (GAC) in pure cultures and in the presence of autochthonous river water organisms. All three organisms readily colonized sterile GAC and maintained populations of ca. 10(5) to 10(7) CFU g-1 for 14 days when suspended in sterile river water. Exposure of pathogen biofilms on GAC to unsterile river water resulted in a gradual decline in pathogens on the carbon (0.08 to 0.14 log day-1). When pathogens were introduced to sterile GAC in the presence of heterotrophic plate count organisms, they attached at levels similar to those in the pure cultures and then decreased (0.10 to 0.22 log day-1). When added with heterotrophic plate count bacteria to GAC supporting a mature biofilm of native river water bacteria, they attached at a lower level (1.0 X 10(4) to 4.6 X 10(4) CFU g-1) and decreased at a more rapid rate (0.11 to 0.70 log day-1).
A view on the pathogenesis of osteoarthritis from the shoulders of giants.

OA is a common problem with high impact on patients and healthcare costs, accounting for 97% of the increasing number of joint replacements performed in England and Wales [1]: 137 000 hip and knee replacements in 2007 [2]. There is currently a considerable focus on the treatment of OA, including clinical guidelines on the care and management of adults with OA by the National Institute for Health and Clinical Excellence (NICE) [3], Osteoarthritis Research Society International (OARSI) and European League Against Rheumatism (EULAR) guidelines for hip and knee OA [4–6]. These guidelines list a number of treatments with modest benefit for pain and function and recommend that management should include a combination of non-pharmacological and pharmacological interventions to maximize symptom relief. This indicates that we need more effective treatments for the symptomatic treatment of OA and, more importantly, we need effective disease-modifying therapy. Understanding the pathogenesis of a disease will greatly enhance our ability to develop more effective treatments for OA and particularly diseasemodifying therapies. There has long been a discussion within the OA community as to whether OA is primarily a disease of bone or cartilage. A review article published in the current issue of Rheumatology by McGonagle et al. [7] is therefore timely in prompting reflection on our current understanding of the OA process and how that understanding can be refined to inform advances in therapy. McGonagle et al. propose a novel and stimulating hypothesis, describing an important role for ligaments and the ‘ensthesis organ’ of the interphalangeal joints of the hand, in the pathogenesis of hand OA, but also, and of great importance for clinical practice, at other sites including the knee [6]. Knee OA is the most commonly researched site: this seems appropriate with the recognition that it is the most frequently affected site [8] and the biggest identifiable cause of musculoskeletal pain attendance to Primary Care [9]. How well does their hypothesis bear up to scrutiny?
Adaptation to Temperature-Induced Delay Variations in Logic Circuits Using Low-Overhead Online Delay Calibration

Ensuring reliability of operations under increasing temperature and process variations has emerged as a major design concern at nanometer scale. Adaptive systems that can dynamically change its operating conditions (voltage, frequency etc.) to accommodate for temperature and process variation has emerged as a promising solution. Such a system, however, requires efficient design techniques that can detect these variations and calibrate the system dynamically to adapt to the variations. In this paper, we propose a low-overhead design technique that helps an adaptive system to accurately estimate the temperature-induced delay variations and adapt to it, thus avoiding an overly-conservative design approach with respect to temperature variations. The principal idea is to choose the most temperature-sensitive timing paths in a circuit; dynamically transform them to a ring oscillator during calibration; and use the frequency of the ring oscillator to estimate the operating frequency of the system. Simulation results demonstrate the effectiveness of the technique for a set of ISCAS89 benchmark circuits with less than 3% error in delay estimation while incurring 1.7% average overhead in delay, 3.4% in area and 0.2% in power
Adaptive sampling for bayesian visual tracking

We propose a statistical motion model for sequential Bayesian tracking and show an adaptive particle filter algorithm for the motion model. It predicts the current state with the help of optical flows, i.e., it explores the state space with information based on the current and previous images of an image sequence. In addition, we introduce a robust method for state estimation and an automatic method for adjusting the variance of the motion model, which parameter is manually determined in most particle filters. In experiments with a real image sequence, we compare the proposed motion model with a random walk model, which is a widely used model for tracking, and show the proposed model outperform the random walk model.
Alcoholics with Eating Disorders: Prevalence and Clinical Course

Investigation of the prevalence of eating disorders among a large sample of Japanese alcoholics admitted for hospital treatment revealed a strong association between eating disorders and alcohol abuse and alcohol dependence among young women. That association was not apparent in young men. The results of this study of the clinical courses of eating disorders and alcohol abuse and alcohol dependence suggest that women with eating disorders, especially bulimia nervosa, are at high risk of becoming alcoholic.