Miracle-dz/UniFAR-FTUs huggingface dataset:
End-to-end soccer video scene and event classification with deep transfer learning

Soccer video scene and event classification are two essential tasks for the soccer video semantic analysis and have attracted many interests of researchers because of their importance and practicability. However most proposed methods solve these two tasks separately. In order to solve two tasks at the same time and improve the efficiency of video processing, we treat them as one end-to-end classification task. We introduce a new Soccer Video Scene and Event Dataset (SVSED) with six categories from the scenes and events, which contains 600 video clips. Then, we show that frame features extracted from pretrained CNN model of different categories are separable in 3-D space. Finally, we construct a CNN model for the classification task and deep transfer learning method is used for optimizing classification task result considering relative small training datasets. We fine-tuned several state-of-art CNN models and achieves accuracy above 89% within several minutes training.
Minimally Invasive Surgery Techniques in the Treatment of Gastric Cancer

Gastric adenocarcinoma is one of the most common causes of cancer-related deaths worldwide. Minimally invasive surgery used in the treatment of gastric cancer has shown to offer similar oncologic outcomes to standard open operations with decreased morbidity and better quality of life. A number of minimally invasive surgery techniques have been developed to surgically treat both early and locally advanced gastric cancer. These techniques include both endoscopic and laparoscopic resection methods, the use of which is highly dependent on the oncologic stage of the tumor. This manuscript is designed to review the most recent evidence surrounding minimally invasive surgical therapies in the treatment of gastric cancer.
GENETIC DIVERSITY OF AUSTRIAN PINE (PINUS NIGRA ARNOLD) POPULATIONS IN SERBIA REVEALED BY RAPD

The ability of random amplified polymorphic DNA (RAPD) to distinguish among populations of Austrian pine from Serbia was evaluated. Ten arbitrary 10mer primers employed in the analysis produced 113 fragments of which 100 were polymorphic (88.5%). All populations had specific RAPD phenotypes. Certain rare and genotype specific bands were identified which could be effectively used to distinguish the populations. Polymorphism in RAPD markers among P. nigra population was high and sufficient to distinguish each of the populations. The results obtained suggest that RAPD markers are valuable for the genetic diversity estimation in Pinus nigra and for the study of the divergence among populations.
Predation can select for later and more synchronous arrival times in migrating species

or migratory species, the timing of arrival at breeding grounds is an important determinant of fitness. Too early arrival at the breeding ground is associated with various costs, and we focus on one understudied cost: that migrants can experience a higher risk of predation if arriving earlier than the bulk of the breeding population. We show, using both a semi-analytic and simulation model, that predation can select for later arrival. This is because of safety in numbers: predation risk becomes diluted if many other individuals, either con- or heterospecific, are already residing in the area. Predation risk dilution can also select for more synchronous arrival because deviating from the current population-wide norm to earlier or later dates leads to higher predation risk or to failures in territory acquisition, respectively. The fact that selection for high arrival synchrony can in some cases be more important than selection for a specific date (early or late) within the season is an example of an ‘evolutionary priority effect’: whichever strategy – in this case a particular arrival time – becomes established in a population can remain stable over long periods of time; there are many possible equilibria (multiple stable states) which the population can remain at. Mixed arrival strategies are also possible under some circumstances.
Quantitative theory of deep brain stimulation of the subthalamic nucleus for the suppression of pathological rhythms in Parkinson’s disease

Deep brain stimulation (DBS) of the subthalamic nucleus (STN) is modeled to explore the mechanisms of this effective, but poorly understood, treatment for motor symptoms of drug-refractory Parkinson’s disease and dystonia. First, a neural field model of the corticothalamic-basal ganglia (CTBG) system is developed that reproduces key clinical features of Parkinson’s disease, including its characteristic 4–8 Hz and 13–30 Hz electrophysiological signatures. Deep brain stimulation of the STN is then modeled and shown to suppress the pathological 13–30 Hz (beta) activity for physiologically realistic and optimized stimulus parameters. This supports the idea that suppression of abnormally coherent activity in the CTBG system is a major factor in DBS therapy for Parkinson’s disease, by permitting normal dynamics to resume. At high stimulus intensities, nonlinear effects in the target population mediate wave-wave interactions between resonant beta activity and the stimulus pulse train, leading to complex spectral structure that shows remarkable similarity to that seen in steady-state evoked potential experiments.
Easy multi-projection system over a whole indoor space

Recently, image projection has attracted many people, and it has been strongly requested to do image projection with a simple procedure in a wide area. However, a shape of a common indoor space is complicated, and the indoor space is large. From these points, multiple projectors are necessary, and making appropriate projection images for each projector is difficult. Also, there are few methods to make an image projection environment for an arbitrary space with a simple process. Then, we propose a geometric correction method combining a fish-eye lens camera with a standard lens camera, and provide multi-projection over the whole indoor space with a simple procedure. By using the same pattern images and capturing with both two cameras, we can calculate the correspondence between both the cameras. In this research, we improve our geometric correction method, and evaluate our method.
Transforming Graphs with the Same Graphic Sequence

Let G and H be two graphs with the same vertex set V . It is well known that a graph G can be transformed into a graph H by a sequence of 2-switches if and only if every vertex of V has the same degree in both G and H. We study the problem of finding the minimum number of 2-switches for transforming G into H.
Development of a Novel CMUT-Based Concentric Dual-Element Ultrasonic Transducer: Design, Fabrication, and Characterization

Capacitive micromachined ultrasonic transducers (CMUTs) have shown great potential to make a strong impact on ultrasound imaging technologies over the years. However, a critical weakness of CMUTs is their relatively low output pressure at transmission. To address this, we present a novel dual-element ultrasonic transducer that incorporates two transducer technologies by using a circular commercial piezoelectric element for ultrasound transmission and an annular CMUT element for reception. The hybrid transducer combines the broad bandwidth and high receive sensitivity of the CMUT and the high output pressure of the piezoelectric transducer to improve the overall sensitivity and axial resolution. The annular CMUT is designed, fabricated, and concentrically aligned with the piezoelectric probe via a custom housing. A through-wafer etching scheme based on deep reactive-ion etching is developed to create the CMUT annulus. Immersion characterization reveals that the CMUT has a center frequency of 2.63 MHz, a −6-dB fractional bandwidth of 131%, and a receive sensitivity of 22.57 mV/kPa, compared with 2.34 MHz, 42%, and 4.28 mV/kPa of the piezoelectric probe. The round-trip measurements show that the hybrid dual-element transducer improves the axial resolution by 25.58% and the signal-to-noise ratio by 8.55 dB over the commercial piezoelectric probe. [2017-0305]
Nur77 protects against adverse cardiac remodelling by limiting neuropeptide Y signalling in the sympathoadrenal-cardiac axis

Aims Cardiac remodelling and heart failure are promoted by persistent sympathetic activity. We recently reported that nuclear receptor Nur77 may protect against sympathetic agonist-induced cardiac remodelling in mice. The sympathetic co-transmitter neuropeptide Y (NPY) is co-released with catecholamines and is a known cardiac modulator and predictor of heart failure mortality. Recently, transcriptome analyses revealed NPY as a putative target of Nur77. In this study, we assess whether Nur77 modulates adverse cardiac remodelling via NPY signalling. Methods and results Nur77 represses NPY expression in the PC12 adrenal chromaffin cell line. Accordingly, NPY levels are higher in adrenal gland, plasma, and heart from Nur77-KO compared to wild-type mice. Conditioned medium from Nur77-silenced chromaffin cells and serum from Nur77-KO mice induce marked hypertrophy in cultured neonatal rat cardiomyocytes, which is inhibited by the NPY type 1 receptor (NPY1R) antagonist BIBO3304. In cardiomyocytes from Nur77-KO mice, intracellular Ca2+ is increased partially via the NPY1R. This is independent from elevated circulating NPY since cardiomyocyte-specific Nur77-deficient mice (CM-KO) do not have elevated circulating NPY, but do exhibit BIBO3304-sensitive, increased cardiomyocyte intracellular Ca2+. In vivo, this translates to NPY1R antagonism attenuating cardiac calcineurin activity and isoproterenol-induced cardiomyocyte hypertrophy and fibrosis in full-body Nur77-KO mice, but not in CM-KO mice. Conclusions The cardioprotective action of Nur77 can be ascribed to both inhibition of circulating NPY levels and to cardiomyocyte-specific modulation of NPY-NPY1R signalling. These results reveal the underlying mechanism of Nur77 as a promising modifier gene in heart failure.
Deficiency of the Transcription Factor NR4A1 Enhances Bacterial Clearance and Prevents Lung Injury During Escherichia Coli Pneumonia

Background: Bacterial pneumonia is one of the most common diagnoses and a leading cause of death in the intensive care unit. NR4A1 is an early response gene that has been identified as a vital regulator of immune and inflammatory responses. This study aims to explore the role of NR4A1 in Escherichia coli (E. coli) pneumonia. Methods: Alveolar macrophages (AMs) were isolated from wild-type (WT) and NR4A1 knock out (Nr4a1−/−) mice, and the NR4A1 expression and phagocytic capacity against E. coli were measured in vitro. WT and Nr4a1−/− mice were subjected to E. coli or sham pneumonia. Bacterial load, lung injury severity, inflammatory cell infiltration, and cytokines were assessed at 0, 4, and 18 h after surgery. Survival rates within 48 h were evaluated in WT and Nr4a1−/− mice. In addition, NR4A1 antagonist (DIM-C-pPhCO2Me) was also used to confirm the role of NR4A1 in vivo and ex vivo. Results: NR4A1 was rapidly induced in AMs at 15 min after E. coli stimulation. Compared with untreated WT AMs, NR4A1 deficiency and DIM-C-pPhCO2Me treatment showed an enhanced phagocytic function (47.72 ± 0.74% vs. 62.3 ± 0.9%, P < 0.001; 11.79 ± 1.21% vs. 30.08 ± 0.79%, P < 0.001, respectively) at 30 min after the E. coli challenge in vitro. NR4A1 deficiency significantly improved the survival rate (33.3% in WT vs. 82.4% in Nr4a1−/−, P < 0.01), which is comparable with DIM-C-pPhCO2Me pretreatment. The survival advantage of Nr4a1−/− mice was associated with decreased bacterial burden and inflammation and alleviated lung damage. Conclusions: These data demonstrate that NR4A1 impairs the phagocytic capacity of AMs and disrupts the host defense against invading bacteria, worsening the outcome of E. coli pneumonia in mice.
The Building Puzzle Is Still Hard Even in the Single Lined Version

The Building puzzle (a.k.a., the Skyscraper) is a Latin square completion-type puzzle like Sudoku, KenKen and Futoshiki. Recently, Iwamoto and Matsui showed the NP-completeness of the decision problem version of this puzzle, which asks whether a given instance has a solution or not. We provide a stronger result in the present paper; it is still NP-complete to decide whether we can complete a single line of the grid (i.e., a 1 × n or an n × 1 subgrid) without violating the rule.
The influence of spelling rules on phonology

The influence of spelling conventions on phonological knowledge was investigated. In Experiment 1 five-year old preliterate children and eight-year-old literate children were compared on their intuitive syllabification (word fragmentation) of disyllabic Dutch words with a single intervocalic consonant (e.g. /ap\l/, 'apple'). The larger number of ambisyllabic responses in the older age group could either be a reflection of the eight-year-olds' more mature phonology or an interaction between phonological knowledge and spelling conventions. Experiments 2 and 3, using literate and illiterate adults respectively, were designed to disentangle these alternative accounts.
Accurate Computation of Guided-Wave Coupling to Dielectric Resonators in 2-D Geometry

Large dielectric resonators that support whispering gallery modes are attractive for photonic applications due to high-quality factors of their resonances. The high-quality factors require the development of very accurate modeling methods for such structures. Several analytical methods reducible to matrix equations to model the excitation of large dielectric cylinders by guided waves are discussed. While it is shown that the analytical derivations produce similar matrices, the actual choice of the unknown vector and matrix scaling results in wide variations of the matrix condition numbers and, in some cases, in the failure of the numerical solution for large sizes of the matrix. A reasonable choice for the unknown vector is proposed and the smallest condition number of the resulting matrix compared to other existing choices is obtained.
Anticholinergic therapy for acute asthma in children.

BACKGROUND Inhaled anticholinergics as single agent bronchodilators (or in combination with beta(2)-agonists) are one of the several medications available for the treatment of acute asthma in children. OBJECTIVES To determine the effectiveness of only inhaled anticholinergic drugs (i.e. administered alone), compared to a control in children over the age of two years with acute asthma. SEARCH METHODS The Cochrane Register of Controlled Trials (CENTRAL), and the Cochrane Airways Group Register of trials were searched by the Cochrane Airways Group. The latest search was performed in April 2011. SELECTION CRITERIA We included only randomised controlled trials (RCTs) in which inhaled anticholinergics were given as single therapy and compared with placebo or any other drug or drug combinations for children over the age of two years with acute asthma. DATA COLLECTION AND ANALYSIS Two authors independently selected trials, extracted data and assessed trial quality. MAIN RESULTS Six studies met the inclusion criteria but were limited by small sample sizes, various treatment regimes used and outcomes assessed. The studies were overall of unclear quality. Data could only be pooled for the outcomes of treatment failure and hospitalisation. Other data could not be combined due to divergent outcome measurements. Meta-analysis revealed that children who received anticholinergics alone were significantly more likely to have treatment failure compared to those who received beta(2)-agonists from four trials on 171 children (odds ratio (OR) 2.27; 95% CI 1.08 to 4.75). Also, treatment failure on anticholinergics alone was more likely than when anticholinergics were combined with beta(2)-agonists from four trials on 173 children (OR 2.65; 95% CI 1.2 to 5.88). Data on clinical scores/symptoms that were measured on different scales were conflicting. Individual trials reported that lung function was superior in the combination group when compared with anticholinergic agents used alone. The use of anticholinergics was not found to be associated with significant side effects. AUTHORS' CONCLUSIONS In children over the age of two years with acute asthma exacerbations, inhaled anticholinergics as single agent bronchodilators were less efficacious than beta(2)-agonists. Inhaled anticholinergics were also less efficacious than inhaled anticholinergics combined with beta(2)-agonists. Inhaled anticholinergic drugs alone are not appropriate for use as a single agent in children with acute asthma exacerbations.
Spontaneous self-repairs in speech: Processes and representations

Psycholinguistics study the acquisition, comprehension and production of language, but the study of language production has not advanced at the same pace as the other two main areas of inquiry. While there are notable exceptions, the impetus to study the process of speaking does not usually come from within the discipline itself, but from neighboring fields, such as ethnomethodology‚ aphasiology, and last but not least, phonetics. No approach has informed the psychological study of language production to the same extent as the systematic analysis of spontaneous speech errors, a technique which was reintroduced by Cohen and Nooteboom during the sixties. Traffic in the reverse direction has been light: the psychology of speaking has not influenced phonetics to the same degree. It is only honest, therefore, to speak about the potential contributions to phonetics of psycholinguistic production research. The study of spontaneous self—repairs may well develop into such a contribution. Self-repairs are, on first view, rather complex phenomena. And surely, they involve quite dispa— rate Phonetic processes, such as self-monitoring, the production and detection of phonetic, lexical and other types of speech errors, self—interruptton,
The Evolution of Process Hiding Techniques in Malware - Current Threats and Possible Countermeasures

: Rootkits constitute a signiﬁcant threat to modern computing and information systems. Since their ﬁrst appearance in the early 1990’s they have steadily evolved, adapting to ever-improving security measures. The main feature rootkits have in common is the ability to hide their malicious presence and activities from the operating system and its legitimate users. In this paper we systematically analyze process hiding techniques routinely used by rootkit malware. We summarize the characteristics of di ﬀ erent approaches and discuss their advantages and limitations. Furthermore, we assess detection and prevention techniques introduced in operating systems in response to the threat of hidden malware. The results of our assessments show that defenders still struggle to keep up with rootkit authors. At the same time we see a shift towards powerful VM-based techniques that will continue to evolve over the coming years.
Screening of Antifungal Potential of Rhizospheric Isolates against Alternaria Leaf Blight Disease of Bt-cotton in vitro

Alternaria leaf blight disease caused by Alternaria macrospora (Zimm.) and Alternaria alternata (Fr.) Keissler is one of the most predominant diseases of Bt-cotton having national and regional significance. This disease is worldwide in distribution and reported from all cotton growing countries Alternaria leaf blight is one of the most important yield reducing diseases of Btcotton caused by Alternaria macrospora. In order to find bio-based ecofriendly effective control measure to this phytopathogen, 114 rhizospheric bacterial isolates were screened for in vitro antifungal potential against Alternaria leaf blight phytopathogen using modified dual culture method. Out of 114 isolates tested, 18 rhizospheric bacterial isolates inhibited growth of Alternaria macrospora in vitro. Highest antifungal activity was exhibited by isolate RLS19 (91.43 %) and followed by RLS52 (88.57 %), RLS18 (85.71 %), RLS102 (85.71 %), RLS76 (82.86 %), RLS96 (82.86 %) in dual culture technique against the phytopathogen. Based on inhibition activities in dual culture assay, 8 efficient rhizospheric bacterial isolates were selected for further investigation. For characterizations of microbial control mechanism, rhizospheric bacterial isolates were tested for production of volatile metabolites, diffusible metabolites and siderophore. Volatile metabolite production was detected by double plate assay. Rhizospheric bacterial isolate RLS76 hamper 17.77 % radial growth by producing volatile metabolites against phytopathogen while other isolates were unable to produce volatile metabolites. Diffusible metabolite production was detected by agar well diffusion method. Rhizospheric bacterial isolates RLS19 and RLS76 showed highest (71.43 %) inhibition of phytopathogen by producing diffusible metabolites followed by RLS18 (68.57.00 %), RLS52, RLS56, RLS96, RLS102 (65.71 %) and RLS53 (57.14 %). Siderophore production ability was detected qualitatively by modified CAS agar plate method. All the tested, 8 rhizospheric bacterial isolates were able to produce siderophore. The highest siderophore was recorded by RLS18, RLS53 and RLS58. K e y w o r d s
Generalizing to Unseen Domains via Adversarial Data Augmentation

We are concerned with learning models that generalize well to different \emph{unseen} domains. We consider a worst-case formulation over data distributions that are near the source domain in the feature space. Only using training data from a single source distribution, we propose an iterative procedure that augments the dataset with examples from a fictitious target domain that is "hard" under the current model. We show that our iterative scheme is an adaptive data augmentation method where we append adversarial examples at each iteration. For softmax losses, we show that our method is a data-dependent regularization scheme that behaves differently from classical regularizers that regularize towards zero (e.g., ridge or lasso). On digit recognition and semantic segmentation tasks, our method learns models improve performance across a range of a priori unknown target domains.
Title : Semantic Annotation Systems for Knowledge Management : A Survey of Requirements and State of the Art Corresponding

While much of a company’s knowledge can be found in text repositories, current content management systems have limited capabilities for structuring and interpreting documents. In the emerging Semantic Web, search, interpretation and aggregation can be addressed by ontology-based semantic markup. In this paper, we examine semantic annotation, identify a number of requirements, and review the current generation of semantic annotation systems. This analysis shows that, while there is still some way to go before semantic annotation tools will be able to address fully all the knowledge management needs, research in the area is active and making good progress.
Randomized Trial The Efficacy of Preoperative Gabapentin in Spinal Surgery : A Meta-Analysis of Randomized Controlled Trials

Methods: This meta-analysis of randomized controlled trials (RCTs) was performed to compare the use of gabapentin with placebo in spinal surgery regarding to the following: the mean difference (MD) of postoperative opioid requirements, the changes of visual analog scale (VAS) scores in 2 groups, and the incidence rate of adverse effects. An electronic-based search of all related literatures was conducted, and only RCTs for spinal surgery were included. The MD of postoperative opioid requirements and VAS scores and the relative risk (RR) of the incidence rate of adverse effects in the gabapentin group versus the placebo group were extracted throughout the study.