Movie Images Research Articles

The influence of vigorous training on the structure and cardiorespiratory fitness in adolescent athletes

Abstract Introduction The functional and morphological adaptation of the cardiovascular system to vigorous exercise in adolescents is less understood compared to adult athletes. Therefore, the differential diagnosis of normal cardiovascular adaptation from the possible pathological alterations is challenging. Cardiovascular magnetic resonance is an important method for assessing ventricular function and morphology. Maximal oxygen uptake (VO2 max) has been established as a reliable measure of the maximal ability to produce metabolic power aerobically. Aims The aim of this study was to examine left (LV) and right (RV) ventricular morphologic and functional remodeling in elite adolescent athletes using cardiac magnetic resonance imaging (CMR) and cardiopulmonary exercise test (CPET). Methods Between 2017 and 2019 116 asymptomatic adolescent (14–20 years) athletes (>6 training hour/week) underwent CMR and CPET as part of a detailed sports cardiology screening. Cine movie images were performed for the quantification of the LV and RV volumes, masses and ejection fraction, and advanced post processing included feature-tracking strain analysis. CPET was performed on a dedicated athlete protocol. Results All athletes participated in sports with a high dynamic component. Male athletes (n=74, 16±1 years) demonstrated higher LV and RV end –diastolic volume index (EDVi), stroke volume index (SVi) and mass index (Mi) compared with female athletes (p<0.001). We found significant difference regarding the global circumferential strain (GCS) and mechanical dispersion (MD) of male and female athletes (GCS −34±4 vs. −31±5%; MD 4±2 vs. 7±4% p<0.05). VO2 showed positive correlation with the LV and RV volumetric parameters (EDVi, SVi) and Mi (p<0.001) and the absolute value of GCS (p<0.05), and negative correlation with the MD (p<0.001). In 36 athletes the VO2 max exceeded the age-adjusted expected VO2 max by 130%, which was categorized as excellent. Besides gender, age, and body surface area CMR based LVEDVi and LVMi were independent predictors of VO2 max. Conclusion The functional and morphological adaptation of the adolescent cardiovascular system shows noteworthy differences between male and female athletes. VO2 max correlates with several CMR based values including LV and RV volumetric parameters, masses and strain parameters such as GCS and MD. Strain analysis of an adolescent athlete Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): Project no. NVKP_16-1-2016-0017 has been implemented with the support provided from the National Research, Development and Innovation Fund of Hungary, financed under the NVKP_16 funding scheme. ÚNKP-19-3-I New National Excellence Program of the Ministry for Innovation and Technology.

Preoperative assessment of localized pleural adhesion: Utility of software-assisted analysis on dynamic-ventilation computed tomography

PurposeTo assess the usefulness of software analysis using dynamic-ventilation CT for localized pleural adhesion (LPA). Materials and methodsFifty-one patients scheduled to undergo surgery underwent both dynamic-ventilation CT and static chest CT as preoperative assessments. Five observers independently evaluated the presence and severity of LPA on a three-point scale (non, mild, and severe LPA) for 9 pleural regions (upper, middle, and lower pleural aspects on ventral, lateral, and dorsal areas) on the chest CT by three different methods by observing images from: static high-resolution CT (static image); dynamic-ventilation CT (movie image), and dynamic-ventilation CT while referring to the adhesion map (movie image with color map), which was created using research software to visualize movement differences between the lung surface and chest wall. The presence and severity of LPA was confirmed by intraoperative thoracoscopic findings. Parameters of diagnostic accuracy for LPA presence and severity were assessed among the three methods using Wilcoxon signed rank test in total and for each of the three pleural aspects. ResultsMild and severe LPA were confirmed in 14 and 8 patients. Movie image with color map had higher sensitivity (56.9 ± 10.7 %) and negative predictive value (NPV) (91.4 ± 1.7 %) in LPA detection than both movie image and static image. Additionally, for severe LPA, detection sensitivity was the highest with movie image with color map (82.5 ± 6.1 %), followed by movie image (58.8 ± 17.0 %) and static image (38.8 ± 13.9 %). For LPA severity, movie image with color map was similar to movie image and superior to static image in accuracy as well as underestimation and overestimation, with a mean value of 80.2 %. ConclusionSoftware-assisted dynamic-ventilation CT may be a useful novel imaging approach to improve the detection performance of LPA.

DeepCINAC: A Deep-Learning-Based Python Toolbox for Inferring Calcium Imaging Neuronal Activity Based on Movie Visualization.

Two-photon calcium imaging is now widely used to infer neuronal dynamics from changes in fluorescence of an indicator. However, state-of-the-art computational tools are not optimized for the reliable detection of fluorescence transients from highly synchronous neurons located in densely packed regions such as the CA1 pyramidal layer of the hippocampus during early postnatal stages of development. Indeed, the latest analytical tools often lack proper benchmark measurements. To meet this challenge, we first developed a graphical user interface (GUI) allowing for a precise manual detection of all calcium transients from imaged neurons based on the visualization of the calcium imaging movie. Then, we analyzed movies from mouse pups using a convolutional neural network (CNN) with an attention process and a bidirectional long-short term memory (LSTM) network. This method is able to reach human performance and offers a better F1 score (harmonic mean of sensitivity and precision) than CaImAn to infer neural activity in the developing CA1 without any user intervention. It also enables automatically identifying activity originating from GABAergic neurons. Overall, DeepCINAC offers a simple, fast and flexible open-source toolbox for processing a wide variety of calcium imaging datasets while providing the tools to evaluate its performance.

Multimodal construction of ‘rule of law’ in Chinese anti-corruption public service advertisements

Multimodal construction of ‘rule of law’ in Chinese anti-corruption public service advertisements

VasoMetrics: unbiased spatiotemporal analysis of microvascular diameter in multi-photon imaging applications.

Multi-photon imaging of the cerebrovasculature provides rich data on the dynamics of cortical arterioles, capillaries, and venules. Vascular diameter is the major determinant of blood flow resistance, and is the most commonly quantified metric in studies of the cerebrovasculature. However, there is a lack of accessible and easy-to-use methods to quantify vascular diameter in imaging data. We created VasoMetrics, a macro written in ImageJ/Fiji for spatiotemporal analysis of microvascular diameter. The key feature of VasoMetrics is rapid analysis of many evenly spaced cross-sectional lines along the vessel of interest, permitting the extraction of numerous diameter measurements from individual vessels. Here we demonstrated the utility of VasoMetrics by analyzing in vivo multi-photon imaging stacks and movies collected from lightly sedated mice, as well as data from optical coherence tomography angiography (OCTA) of human retina. Compared to the standard approach, which is to measure cross-sectional diameters at arbitrary points along a vessel, VasoMetrics accurately reported spatiotemporal features of vessel diameter, reduced measurement bias and time spent analyzing data, and improved the reproducibility of diameter measurements between users. VasoMetrics revealed the dynamics in pial arteriole diameters during vasomotion at rest, as well as changes in capillary diameter before and after pericyte ablation. Retinal arteriole diameter was quantified from a human retinal angiogram, providing proof-of-principle that VasoMetrics can be applied to contrast-enhanced clinical imaging of microvasculature. VasoMetrics is a robust macro for spatiotemporal analysis of microvascular diameter in imaging applications.

Predicting the Partition of Behavioral Variability in Speed Perception with Naturalistic Stimuli.

A core goal of visual neuroscience is to predict human perceptual performance from natural signals. Performance in any natural task can be limited by at least three sources of uncertainty: stimulus variability, internal noise, and suboptimal computations. Determining the relative importance of these factors has been a focus of interest for decades but requires methods for predicting the fundamental limits imposed by stimulus variability on sensory-perceptual precision. Most successes have been limited to simple stimuli and simple tasks. But perception science ultimately aims to understand how vision works with natural stimuli. Successes in this domain have proven elusive. Here, we develop a model of humans based on an image-computable (images in, estimates out) Bayesian ideal observer. Given biological constraints, the ideal optimally uses the statistics relating local intensity patterns in moving images to speed, specifying the fundamental limits imposed by natural stimuli. Next, we propose a theoretical link between two key decision-theoretic quantities that suggests how to experimentally disentangle the impacts of internal noise and deterministic suboptimal computations. In several interlocking discrimination experiments with three male observers, we confirm this link and determine the quantitative impact of each candidate performance-limiting factor. Human performance is near-exclusively limited by natural stimulus variability and internal noise, and humans use near-optimal computations to estimate speed from naturalistic image movies. The findings indicate that the partition of behavioral variability can be predicted from a principled analysis of natural images and scenes. The approach should be extendable to studies of neural variability with natural signals.SIGNIFICANCE STATEMENT Accurate estimation of speed is critical for determining motion in the environment, but humans cannot perform this task without error. Different objects moving at the same speed cast different images on the eyes. This stimulus variability imposes fundamental external limits on the human ability to estimate speed. Predicting these limits has proven difficult. Here, by analyzing natural signals, we predict the quantitative impact of natural stimulus variability on human performance given biological constraints. With integrated experiments, we compare its impact to well-studied performance-limiting factors internal to the visual system. The results suggest that the deterministic computations humans perform are near optimal, and that behavioral responses to natural stimuli can be studied with the rigor and interpretability defining work with simpler stimuli.

HNCcorr: combinatorial optimization for neuron identification

We present a combinatorial algorithm for cell detection in two-photon calcium imaging. Calcium imaging is a modern technique used by neuroscientists for recording movies of in-vivo neuronal activity at cellular resolution. The proposed algorithm, named HNCcorr, builds on the combinatorial clustering problem Hochbaum’s Normalized Cut (HNC). HNC is a model that trades off two goals: One goal is that the cluster has low similarity to the remaining objects. The second goal is that the cluster is highly similar to itself. The HNC model is closely related to the Normalized Cut problem of Shi and Malik, a well-known problem in image segmentation. However, whereas Normalized Cut is an NP-hard problem, HNC is solvable in polynomial time. The neuronal cell detection in calcium imaging movies is viewed here as a clustering problem. HNCcorr utilizes HNC to detect cells in these movies as coherent clusters of pixels that are highly distinct from the remaining pixels. HNCcorr guarantees, unlike existing methodologies for cell identification, a globally optimal solution to the underlying optimization problem. Of independent interest is a novel method, named similarity-squared, that is devised here for measuring similarity. In an experimental study on data from the Neurofinder cell identification benchmark, HNCcorr is a top performer. In particular, it achieves a higher average score than two frequently used matrix factorization algorithms. The Python and Matlab implementations of HNCcorr used here are publicly available. The use of HNCcorr demonstrates that combinatorial optimization is a valuable tool for neuroscience and other biomedical disciplines.

Pay the PIED Piper: Guidelines to Visualize Large Geochemical Datasets on Piper Diagrams.

The Piper diagram has increased in popularity since its 1944 introduction and is now one of the most familiar and effective tools in the hydrogeologist's toolbox. Within the Piper diagram, three points on three related plots fully display the major ionic species of a water sample. Recently the size and availability of datasets have increased as additional field measurements and modeling results are shared more effectively in online databases. This growth presents opportunities and challenges for data analysis and conveyance-larger and longer datasets increase the potential to identify trends and patterns, but traditional Piper diagrams are quickly overwhelmed by large datasets as dense points overlap and become obscured. We present guidelines for effectively displaying large geochemical datasets on traditional Piper diagrams and new code that adds novel functionality for following these generic guidelines. This code, plotting interesting environmental data with Piper diagrams (PIED Piper), can be run within the Matlab environment or through a stand-alone graphical user interface, and is the first Matlab code to generate Piper diagrams. The illustrative examples herein demonstrate (1) how limitations in displays of large datasets may be overcome with translucent symbology, contours, and heatmaps to identify trends and patterns, (2) how clusters of similar points can be identified and differentiated with convex hulls, and (3) how temporal-and-spatial patterns may be visually diagnosed with image groups and movies. The guidelines discussed in these examples will aid PIED Piper users to achieve the two goals of effective big data visualization: analysis and communication.

Fast and robust active neuron segmentation in two-photon calcium imaging using spatiotemporal deep learning

Calcium imaging records large-scale neuronal activity with cellular resolution in vivo. Automated, fast, and reliable active neuron segmentation is a critical step in the analysis workflow of utilizing neuronal signals in real-time behavioral studies for discovery of neuronal coding properties. Here, to exploit the full spatiotemporal information in two-photon calcium imaging movies, we propose a 3D convolutional neural network to identify and segment active neurons. By utilizing a variety of two-photon microscopy datasets, we show that our method outperforms state-of-the-art techniques and is on a par with manual segmentation. Furthermore, we demonstrate that the network trained on data recorded at a specific cortical layer can be used to accurately segment active neurons from another layer with different neuron density. Finally, our work documents significant tabulation flaws in one of the most cited and active online scientific challenges in neuron segmentation. As our computationally fast method is an invaluable tool for a large spectrum of real-time optogenetic experiments, we have made our open-source software and carefully annotated dataset freely available online.

Multi-element X-ray movie imaging with a visible-light CMOS camera.

For many years, X-ray movies have been considered a promising tool for exploring and providing insights into chemical reactions. A simultaneous multi-element X-ray movie can further clarify the behavior difference of various elements and help investigate their interactions. The present short communication illustrates how to conduct multi-element X-ray movie imaging in a synchrotron facility solely by placing a micro-pinhole in front of a visible-light complementary metal-oxide semiconductor (CMOS) camera. It has been found that the CMOS camera can resolve X-ray fluorescence spectra when it is specially operated. In this work, a spatial resolution of ∼15 µm was achieved. In the X-ray movie, a movie frame acquisition time of 2 min and a spatial resolution of ∼50 µm were simultaneously achieved. It is clear that the CMOS camera can be a cost-efficient option for many researchers who wish to establish their own setup for visualizing chemical diffusion in various reactions.

Chemical kinetics study through observation of individual reaction events with atomic-resolution electron microscopy.

Single-molecule atomic-resolution real-time electron microscopic movie imaging is an emerging new tool for obtaining dynamic structural information on molecules and molecular assemblies. This method provides a hitherto inaccessible possibility to in situ observe the time evolution of chemical events at various temperatures from the beginning till the end, as demonstrated for the kinetics study of [2 + 2] cycloaddition of [60]fullerene molecules, which was found to occur via an excited state or via radical cation depending on the temperature. One unique feature of this methodology is that, by observing directly the reaction events, one can obtain information on the frequency of events unperturbed by molecular diffusion. With the obtained experimental data set, we provided the first experimental proof of what the quantum mechanical transition state theory predicted, in that isolated molecules behave as if all their accessible states were occupied in a random order. We also found that, under the 1-D reaction conditions, molecular-level information on a few hundred molecules suffices to deduce statistically meaningful kinetics data that match with those obtained by bulk experiments.

Visual Interpretation of Harry Potter Novels

This article seeks to explain the nature of visual interpretation which is an inseparable part of visual linguistics. Within the frames of this article we intend to study and illustrate the techniques that are used for making any kind of visual interpretation. To be more practical, illustrations and movie images have been used. The article focuses on the study of the two main characters of Harry Potter novels. The characters have been thoroughly analyzed with the method of triangle analysis.

The re-appropriation of ideational meanings through drawings: A case of 5-year-old child experience in learning to mean

During the last decades, how children make meaning of particular worlds (e.g., events) through drawings has been well-documented. To add to this growing body of research, the present study attempts to document 5-year-old child experience in exploring ideational meanings represented in drawings as part of her home literacy practices in a transition into a dominant English school discourse in a multilingual context of the United States. Empirical data were garnered from the child’s drawings made at home, informal interviews with the child, and observation field notes focusing on the child’s think-aloud practices of drawing along with the features of the drawings in comparison with the captured movie images. These data were discursively analyzed using the concept of ideational meanings anchored in systemic functional and multimodal discourse approaches to capture the expansion of ideational meanings manifested in the child’s drawings. The semiotic analysis reveals that the child re-appropriated her drawings as a multi-semiotic resource to extend her understanding of the subject matter gained from the movie series. The ideational meanings were made subjectively through the interpretation of the drawings which have meaning potentials leading to the construction of meta-knowledge. The practical implication of this study is that language teachers may make use of drawings as a multi-semiotic resource for scaffolding young learners in learning second and foreign languages (e.g., English).

Principles of the magnetic resonance imaging movie method for articulatory movement.

Magnetic resonance imaging (MRI) has become a critical tool for dental examination. MRI has many advantages over radiographic examination methods, including the lack of a requirement for patient exposure and the ability to capture high-contrast images of various tissue and organ types. However, MRI also has several limitations, including long examination times and the existence of metallic or motion artifacts. A cardiac imaging method using cine sequences was developed in the 1990s. This technique allows for analysis of heart movement and functional blood flow. Moreover, this method has been applied in dentistry. Recent research involving 3T MRI has led to the achievement of a temporal resolution of < 10ms, surpassing the frame rate of typical video recording. The current review introduces the history and principles of the cine sequence method and its application to the oral and maxillofacial regions.

Interplay of Tourist Bubble and Film Tourism: Case of Saint-Petersburg

In the current competitive climate, it is important for locations to attract more tourists. Films could be a key elements of it: it has a lasting effect on traveller and highlight all the important places. However, this impression could also lock into well-known areas and contribute in central-based city development. In this paper a theory of tourist was used to implement it on the sample of Saint Petersburg. This city attracts millions of tourists per year and there was a question if their city observation matches with the movie image of the city and if it can be expanded by film industry. Using geodata of 117 most popular films set in this city, this article will try to answer this question. Overall, the of attraction were elaborated and cinema zones of Saint Petersburg were characterized. In conclusion, it is worth emphasizing that touristic bubble is a complex sociocultural object, that is why it demands further research.

THE ETHICAL CONSUMER AND THE USE OF MAFIA STEREOTYPES IN MARKETING. A STUDY INTO CONSUMERS’ ATTITUDES AND WILLINGNESS TO BUY

Over time popular media has used the idea of Italian Mafia and the related image of mobsters in TV series, movies, and cartoons. The overall image surrounding Mafia is so powerful that nowadays many people associate the name Mafia to The Godfather movie or other fictional images. In addition to this, there are also businesses that offer products and services branded with names that remind the idea of Mafia, despite, in reality, the Mafia is a violent criminal organisation involved in drug trafficking, human trafficking, murders, etc. However, marketing research has never studied consumers’ attitudes towards the use of these stereotypes in marketing and their willingness to buy products and services that use them. This research tries to fill this gap and, by adopting Forsyth’s (1980) ethical ideologies questions, it studies the links between consumers’ ethical ideologies and: 1) consumers’ attitudes towards these products and services; 2) consumers’ willingness to buy them in order to understand whether there are differences between relativists and ideologists consumers. This research is based on an online survey made up of open and closed-ended questions. Section one of the survey was made up of closed-ended questions aimed at studying ethical ideologies; section two was made up of a mix of open- and closedended questions aimed at understanding the perceptions that respondents had towards the Mafia; their degree of acceptance towards the use of the Mafia for commercial purposes; and their willingness to buy Mafia-inspired products; the last section included some demographic questions. The survey was made available via Qualtrics and respondents were recruited through Prolific. In the end 152 responses from UK participants were collected. Data analysis has not been carried out yet, but it is expected to analyse data through the Necessary Condition Analysis (NCA), a new data analysis technique that is aimed at identifying necessary, but not sufficient conditions within data. In addition to this, analysis of group differences will be carried out through ANOVA, in conjunction with regression analysis. Through this research it is expected to be able to understand whether consumers’ attitudes towards the use of Mafia stereotypes in marketing and their willingness to buy products and services that use these stereotypes differ according to whether consumers are classified as relativists or ideologists. With this study it is expected to analyse an area of consumption that so far has been neglected by research, i.e. consumers’ attitudes and willingness to buy products and services that use Mafia-related stereotypes.

Clinical efficacy of tape feedback therapy on oculo-oral synkinesis following severe peripheral facial nerve palsy

Mirror feedback rehabilitation is effective in preventing the development of oro-ocular synkinesis following severe facial palsy. However, we do not have effective maneuvers to prevent the deterioration of oculo-oral synkinesis. We developed a new method of biofeedback rehabilitation using tape for the prevention of oculo-oral synkinesis. The aim of the present study was to investigate the efficacy of taping feedback rehabilitation. Twelve consecutive patients with peripheral facial nerve palsy who developed synkinesis were divided into 2 groups. Six patients were treated with the new training method, and the remaining 6 patients were treated with conventional therapy as controls. In the experiment group, tape was placed around the mouth, and the patient was instructed to close the eyes so that no movements of the mouth would be perceived from sensations of the taped skin. After 4 weeks of training, facial movements were recorded and movie images were graded for mouth synkinesis using the revised Sunnybrook facial grading system by examiners blinded to patient grouping. Mouth corner contraction during eye closure was significantly weaker in the experimental group than in the control group. Our new feedback method could help prevent the deterioration of oculo-oral synkinesis.

Advances and Perspectives in Chemical Imaging in Cellular Environments Using Electrochemical Methods

This review discusses a broad range of recent advances (2013–2017) in chemical imaging using electrochemical methods, with a particular focus on techniques that have been applied to study cellular processes, or techniques that show promise for use in this field in the future. Non-scanning techniques such as microelectrode arrays (MEAs) offer high time-resolution (&lt;10 ms) imaging; however, at reduced spatial resolution. In contrast, scanning electrochemical probe microscopies (SEPMs) offer higher spatial resolution (as low as a few nm per pixel) imaging, with images collected typically over many minutes. Recent significant research efforts to improve the spatial resolution of SEPMs using nanoscale probes and to improve the temporal resolution using fast scanning have resulted in movie (multiple frame) imaging with frame rates as low as a few seconds per image. Many SEPM techniques lack chemical specificity or have poor selectivity (defined by the choice of applied potential for redox-active species). This can be improved using multifunctional probes, ion-selective electrodes and tip-integrated biosensors, although additional effort may be required to preserve sensor performance after miniaturization of these probes. We discuss advances to the field of electrochemical imaging, and technological developments which are anticipated to extend the range of processes that can be studied. This includes imaging cellular processes with increased sensor selectivity and at much improved spatiotemporal resolution than has been previously customary.

Fakes of reality. Do we really need the paradigm of the documentary? From the ontology to the epistemology of movie images, i.e. there and back again

The starting point for this paper is the statement that we are witnessing a “mock-documentary boom” in contemporary cinema. Viewers today can be surprised and confused by the variety of “intercrossings” that are used in documentary and fictional strategies. The fact that there has been a growing number of films that do not respect the traditional division between fictional and non-functional cinema deserves deeper consideration. The introduction of the paper is focused on historical sources and classifications of this complex phenomenon (for example: the brothers Lumiere tradition contrasts with that of Melies). The main body of the paper is concentrated on the question of what cinema can offer in lieu of a documentary paradigm. It also tries to explore ontological and epistemological perspectives which can clarify some of the reasons for the popularity of mock-documentary and docufiction productions. It ends with a suggestion that the cinema is a domain of fakes of reality regardless of whether fictional or non-fictional narration is used to tell their stories.

Fakes of reality. Do we really need the paradigm of the documentary? From the ontology to the epistemology of movie images, i.e. there and back again

The starting point for this paper is the statement that we are witnessing a “mock-documentary boom” in contemporary cinema. Viewers today can be surprised and confused by the variety of “intercrossings” that are used in documentary and fictional strategies. The fact that there has been a growing number of films that do not respect the traditional division between fictional and non-functional cinema deserves deeper consideration. The introduction of the paper is focused on historical sources and classifications of this complex phenomenon (for example: the brothers Lumière tradition contrasts with that of Méliès). The main body of the paper is concentrated on the question of what cinema can offer in lieu of a documentary paradigm. It also tries to explore ontological and epistemological perspectives which can clarify some of the reasons for the popularity of mock-documentary and docufiction productions. It ends with a suggestion that the cinema is a domain of fakes of reality regardless of whether fictional or non-fictional narration is used to tell their stories.