This article examines the relationship between technology and aesthetics in contemporary Hollywood, using experiments with frame rates and shutter speeds to show how deep, systemic changes in cinematic technologies can alter our relation to the image’s referential functions. For eighty years, cinema’s registration of movement relied upon a standardized frame rate and shutter speed, meaning that cinema’s sense of motion was constant. With the proliferation of ever more powerful digital capture systems, however, these formerly inflexible options are (...) made variable and put into question. By changing the registration of movement, the high frame rate experiments in The Hobbit and the open-shutter cinematography of Miami Vice offer an estranged relation to cinema’s presentation of worldly motion. I argue here that this altered sense of the image’s referentiality is well suited to depictions of our contemporary reality, which, being profoundly bound up in digital technologies, seems similarly disorienting, estranging, and aesthetic. In the first section of the article, I trace out the origins of this style of movement in the logics of the corporate tech industry, which rolls out continual upgrades in audio-visual technologies in order to justify new product lines. According to industry rhetoric, these upgrades ostensibly lead to a heightened sense of realism, but viewer response has been torn over whether this new sense of motion is realistic or unrealistic. In the second section, I closely analyze The Hobbit and the recent work of Michael Mann to show how established film form shifts in relation to this problem in digital cinema’s representation of worldly movement. In The Hobbit’s case, film form is altered in order to assimilate the HFR’s unfamiliar sense of motion, but the cinematography in Miami Vice embraces a productive aesthetic estrangement which is both realistic and hyperaestheticized, leaving the divide between immanent experience and technologized disorientation an open question. (shrink)

Rate, John In this first Sunday of Advent we are reminded that our lives and our world are moving towards a great finale, as envisioned in our times by the great Teilhard de Chardin. While there are some terrifying aspects to this (our natural fear of death, and the apocalyptic descriptions of the end-times in Luke's Gospel), Luke calms us with his confident admonition: 'Stand erect, hold your heads high, because your liberation is near at hand.' As we (...) allow this truth to influence daily life, we will naturally want to 'stay awake' and 'practise honesty and integrity in the land' (first reading), and we will understand more fully the beautiful Alleluia verse prayer: 'Lord, show us your mercy and love, and grant us your salvation.'. (shrink)

To better detect fish in an aquaculture environment, a high-accuracy real-time detection model is proposed. An experimental dataset was collected for fish detection in laboratory aquaculture environments using remotely operated vehicles. To overcome the inaccuracy of the You Only Look Once v3 algorithm in underwater farming environment, a suitable set of hyperparameters was obtained through multiple sets of experiments. Then, a real-time image recovery algorithm is applied before YOLOv3 to reduce the effects of both noise and light on images (...) whilst keeping the real-time capability, leading to a mean average precision of 0.85 and frame rate of 17.6 fps, respectively. Finally, compared with the base detection model using only the YOLOv3 algorithm, the enhanced detection model presented results in a reduction of miss detection rate from 23% to only 9% across different environments and with the detection accuracy of the target in different environments being improved from 8% to 37%. (shrink)

We explored the relationship between qualities of victims in hypothetical scenarios and the appearance of framing effects. In past studies, participants’ feelings about the victims have been demonstrated to affect whether framing effects appear, but this relationship has not been directly examined. In the present study, we examined the relationship between caring about the people at risk, the perceived interdependence of the people at risk, and frame. Scenarios were presented that differed in the degree to which participants could be (...) expected to care about the group and the extent to which the group could be construed as interdependent. A framing effect was found only for the scenario describing the victims as the participants’ friends who did not know each other (high caring/low interdependence), and this went in the opposite direction from typical framing effects. Finally, perceived interdependence and caring affected choice both within and across scenarios, with more risky choices made by participants with high interdependence ratings and high caring ratings. (shrink)

Worldwide, vulnerable neighbourhoods of large cities are often the scene of collective violent conflicts linked with migration and ethnic minorities’ struggles for social justice. However, urban conflicts of this kind have not taken place in Spanish cities with high immigration rates, even though the country has been deeply affected by two recent socioeconomic crises (2009 and 2020). This article reports findings of a study aimed at understanding what lies behind this apparent social peace. The research methodology was based on (...) an analysis of secondary socio-economic and socio-relational data from the Spanish Institute of Statistics and from key national surveys and reports. Results confirmed that immigrant population living in the country are strongly segregated in the lower strata of the labour and socioeconomic structure and have been disproportionately affected by the crises. However, research findings also pointed to the existence of strong closed support networks where social capital has been effective at palliating members’ disadvantage and unrest. Drawing on the Theory of Rupture Frames, we argue that this is a fragile and unsustainable social peace, rooted in social injustice, and anticipate that unless actively prevented, uncontrolled conflict will eventually emerge in main cities’ neighbourhoods in Spain. (shrink)

The intelligent transportation system under the big data environment is the development direction of the future transportation system. It effectively integrates advanced information technology, data communication transmission technology, electronic sensing technology, control technology, and computer technology and applies them to the entire ground transportation management system to establish a real-time, accurate, and efficient comprehensive transportation management system that works on a large scale and in all directions. Intelligent video analysis is an important part of smart transportation. In order to improve (...) the accuracy and time efficiency of video retrieval schemes and recognition schemes, this article firstly proposes a segmentation and key frame extraction method for video behavior recognition, using a multi-time scale dual-stream network to extract video features, improving the efficiency and efficiency of video behavior detection. On this basis, an improved algorithm for vehicle detection based on Faster R-CNN is proposed, and the Faster R-CNN network feature extraction layer is improved by using the principle of residual network, and a hole convolution is added to the network to filter out the redundant features of high-resolution video images to improve the problem of vehicle missed detection in the original algorithm. The experimental results show that the key frame extraction technology combined with the optimized Faster R-CNN algorithm model greatly improves the accuracy of detection and reduces the leakage. The detection rate is satisfactory. (shrink)

Portugal ranks fourth among countries with the highest rate of overweight population, considering that 67.6% of the Portuguese population over the age of 15 is overweight or obese. To our knowledge, limited studies have investigated students’ attitudes toward physical education in Portugal. Such research is necessary because it can provide valuable insights for policy and application in the curriculum development for physical education, which may eventually increase participation in physical and sports activities. This study analyzed students’ attitudes toward physical (...) education (PE) according to sociodemographic variables, including grade level, socioeconomic status, and gender, and their participation in extracurricular sports activities and respective PE grades. The sample comprised 476 high school students (from the 7th, 8th, and 9th-grade levels) from five public schools located in Portugal. The Students’ Attitudes toward Physical Education Questionnaire was adapted and validated for use with Portuguese students as a two-factor model. Findings show that students generally have a moderately positive attitude toward PE. However, students’ positive attitudes tend to decrease throughout high school, which is particularly significant in the 9th grade. Furthermore, students’ attitudes are influenced by gender, extracurricular sports practice, and grades. These findings may help stakeholders reflect on how to frame PE in a more meaningful way to create a solid foundation for maintaining an active lifestyle throughout life. Implications for further research and practice are discussed. (shrink)

We present a minimum message length (MML) framework for trajectory partitioning by point selection, and use it to automatically select the tolerance parameter ε for Douglas-Peucker partitioning, adapting to local trajectory complexity. By examining a range of ε for synthetic and real trajectories, it is easy to see that the best ε does vary by trajectory, and that the MML encoding makes sensible choices and is robust against Gaussian noise. We use it to explore the identification of micro-activities within a (...) longer trajectory. This MML metric is comparable to the TRACLUS metric – and shares the constraint of abstracting only by omission of points – but is a true lossless encoding. Such encoding has several theoretical advantages – particularly with very small segments (high frame rates) – but actual performance interacts strongly with the search algorithm. Both differ from unconstrained piecewise linear approximations, including other MML formulations. (shrink)

The ethical tension in childhood vaccination policies is often framed as one of balancing the value of choice with the duty to protect. Because infectious diseases spread from person to person, unvaccinated children are usually described as putting others around them at risk, violating a perceived right to be protected from harm. Editors of Lancet Infectious Diseases recently argued against mandatory vaccination, reminding us that the resort to mandatory vaccination as a means of achieving high vaccination rates is still (...) very much a topic of Western vaccine debates. The nation of Japan offers an interesting case study in childhood vaccination policy, as it has an entirely voluntary system that achieves high vaccination rates. In this paper, we offer an overview of Japanese childhood vaccine policy, suggest some ways to contextualize and understand how a voluntary system achieves high vaccination rates, and speculate on what the future of Japanese vaccination policymaking and government–public relations may hold. (shrink)

Background: Heart rate variability (HRV) has been considered as a measure of heart-brain interaction and autonomic modulation, and it is modified by cognitive and attentional tasks. In cognitive tasks, HRV was reduced in participants who achieved worse results. This could indicate the possibility of HRV predicting cognitive performance, but this association is still unclear in a high cognitive load sport such as chess Objective: To analyse modifications on HRV and subjective perception of stress, difficulty and complexity in different (...) chess problem tasks. Design: HRV was assessed at baseline. During the chess problems, HRV was also monitored, and immediately after chess problems the subjective stress, difficulty and complexity were also registered. Method: A total of 16 male chess players, age: 35.19 (13.44) and ELO: 1927.69 (167.78) were analysed while six chess problem solving tasks with different level of difficulty were conducted (two low level, two medium level and two high level chess problems). Participants were classified according to their results into two groups: high performance or low performance. Results: Friedman test showed a significant effect of tasks in HRV indexes and perceived difficulty, stress and complexity in both high and low performance groups. A decrease in HRV was observed in both groups when chess problems difficulty increased. In addition, HRV was significantly higher in the high performance group than in the low performance group during chess problems. Conclusions: An increase in autonomic modulation was observed to meet the cognitive demands of the problems, being higher while the difficulty of the tasks increased. Non-linear HRV indexes seem to be more reactive to tasks difficulty, being an interesting and useful tool in chess training. (shrink)

Three reservations about Keller & Miller's (K&M's) argument are explored: Serious validity problems afflict epidemiological criteria discriminating disorders from non-disorders, so high rates may be misleading. Normal variation need not be mild disorder, contrary to a possible interpretation of K&M's article. And, rather than mutation-selection balance, true disorders may result from unselected combinations of normal variants over many loci. (Published Online November 9 2006).

Aiming at the problem of low accuracy of edge detection of the film and television lens, a new SIFT feature-based camera detection algorithm was proposed. Firstly, multiple frames of images are read in time sequence and converted into grayscale images. The frame image is further divided into blocks, and the average gradient of each block is calculated to construct the film dynamic texture. The correlation of the dynamic texture of adjacent frames and the matching degree of SIFT features of (...) two frames were compared, and the predetection results were obtained according to the matching results. Next, compared with the next frame of the dynamic texture and SIFT feature whose step size is lower than the human eye refresh frequency, the final result is obtained. Through experiments on multiple groups of different types of film and television data, high recall rate and accuracy rate can be obtained. The algorithm in this paper can detect the gradual change lens with the complex structure and obtain high detection accuracy and recall rate. A lens boundary detection algorithm based on fuzzy clustering is realized. The algorithm can detect sudden changes/gradual changes of the lens at the same time without setting a threshold. It can effectively reduce the factors that affect lens detection, such as flash, movies, TV, and advertisements, and can reduce the influence of camera movement on the boundaries of movies and TVs. However, due to the complexity of film and television, there are still some missing and false detections in this algorithm, which need further study. (shrink)

In order to solve the problem of low accuracy of pedestrian detection of real traffic cameras and high missed detection rate of small target pedestrians, this paper combines autoencoding neural network and AdaBoost to construct a fast pedestrian detection algorithm. Aiming at the problem that a single high-level output feature map has insufficient ability to express pedestrian features and existing methods cannot effectively select appropriate multilevel features, this paper improves the traditional AdaBoost algorithm structure, that is, the (...) sample weight update formula and the strong classifier output formula are reset, and the two-input AdaBoost-DBN classification algorithm is proposed. Moreover, in view of the problem that the fusion video is not smoothly played, this paper considers the motion information of the video object, performs pixel interpolation by motion compensation, and restores the frame rate of the original video by reconstructing the dropped interframe image. Through experimental research, we can see that the algorithm constructed in this paper has a certain effect. (shrink)

High‐throughput DNA analyses are increasingly being used to detect rare mutations in moderately sized genomes. These methods have yielded genome mutation rates that are markedly higher than those obtained using pre‐genomic strategies. Recent work in a variety of organisms has shown that mutation rate is strongly affected by sequence context and genome position. These observations suggest that high‐throughput DNA analyses will ultimately allow researchers to identify trans‐acting factors and cis sequences that underlie mutation rate variation. Such (...) work should provide insights on how mutation rate variability can impact genome organization and disease progression. (shrink)

The growing field of nanotechnology has received considerable attention as of late. The U.S. National Nanotechnology Initiative has committed billions of dollars toward research on the nanoscale, and proponents of nanotechnology claim that its benefits will range from curing cancer to ending poverty. This article takes a look at the possible benefits and problems associated with the development of high-rate nanomanufacturing technologies, specifically in regards to privacy. Nanosensors, small enough to avoid detection by the naked eye and that (...) are produced cheaply enough, could be used as tracking or listening devices. There may be useful applications of such technologies for some defense, intelligence, and medical and industrial purposes; however, widespread availability and abuse of such sensors is a cause for concern. The adequacy of existing legislation concerning technology and privacy is reviewed and possible courses of action for placating any negative effects of nanomanufacturing on personal privacy considered. (shrink)

Journal Name: Cognitive Linguistics Issue: Ahead of print.

In this article, the insertion of a two-staged highly interesting question in an online, survey-based field experiment is shown to produce better survey completion rate (i.e., decreases completion refusal by 8%) and sample representativeness (increases the number of moderate answer patterns by 12%) than a typical (same) highly interesting question at the beginning of a survey only. Using nonparametric tests and subgroup probability analysis, measured effects include survey completion rates, response bias and reported demographic differences. In regards to sample (...) representativeness, the results also raise questions about the sensitivity of the conventional practice of comparing early to late respondent means scores as a method of investigating nonresponse bias in marketing research. Alternative approaches to measuring potential non-response bias are compared with the tradition of comparing early-wave verses late-wave mean respondent differences. The results indicate that the conventional mean test fails to identify differences in nonresponse bias; the scores of highly interested or opposed respondents in the first waves produce equivalent means to the scores of the less interested or opposed respondents in the latter wave between the surveys (e.g., 1's and 5's vs. 2's and 4's, both averaging to 3's) that are identifiable through kurtosis and probability analysis. (shrink)

Motivation: There is an ongoing search for definitive and reliable biomarkers to forecast or predict imminent seizure onset, but to date most research has been limited to EEG with sampling rates <1,000 Hz. High-frequency oscillations have gained acceptance as an indicator of epileptic tissue, but few have investigated the temporal properties of HFOs or their potential role as a predictor in seizure prediction. Here we evaluate time-varying trends in preictal HFO rates as a potential biomarker of seizure prediction.Methods: HFOs (...) were identified for all interictal and preictal periods with a validated automated detector in 27 patients who underwent intracranial EEG monitoring. We used LASSO logistic regression with several features of the HFO rate to distinguish preictal from interictal periods in each individual. We then tested these models with held-out data and evaluated their performance with the area-under-the-curve of their receiver-operating curve. Finally, we assessed the significance of these results using non-parametric statistical tests.Results: There was variability in the ability of HFOs to discern preictal from interictal states across our cohort. We identified a subset of 10 patients in whom the presence of the preictal state could be successfully predicted better than chance. For some of these individuals, average AUC in the held-out data reached higher than 0.80, which suggests that HFO rates can significantly differentiate preictal and interictal periods for certain patients.Significance: These findings show that temporal trends in HFO rate can predict the preictal state better than random chance in some individuals. Such promising results indicate that future prediction efforts would benefit from the inclusion of high-frequency information in their predictive models and technological architecture. (shrink)

The phenomenon of base-rate neglect has elicited much debate. One arena of debate concerns how people make judgments under conditions of uncertainty. Another more controversial arena concerns human rationality. In this target article, we attempt to unpack the perspectives in the literature on both kinds of issues and evaluate their ability to explain existing data and their conceptual coherence. From this evaluation we conclude that the best account of the data should be framed in terms of a dual-process model (...) of judgment, which attributes base-rate neglect to associative judgment strategies that fail to adequately represent the set structure of the problem. Base-rate neglect is reduced when problems are presented in a format that affords accurate representation in terms of nested sets of individuals. (shrink)

This article shows how the ethical framing of the contemporary issue of modern slavery has evolved in UK construction, a sector in which there is a high risk of labor exploitation. It also examines how these framing dynamics have inhibited the emergence of a common framework of action to deal with the issue. We draw on both framing theory and the literature on the discursive construction of moral legitimacy. Our longitudinal analysis reveals that actors seeking to shape the debate (...) bring their own moral schemes to justify and construct the legitimacy of their frames. Actors cluster their views around five evolving frames: human rights issue (later shifting to hidden crime), moral issue, management issue (later shifting to human moral obligation), social justice issue, and decent work issue—which promote particular normative evaluations of what the issue is, who is responsible, and recommendations for action. Our study contributes to a dynamic and political understanding of the meaning making of modern slavery. We identify the antecedents and conditions that have forestalled the emergence of new patterns of action to tackle modern slavery in the UK construction sector thereby evidencing the effects of the interplay of morally competing frames on field-level change. (shrink)