People that hurt others through relationally aggressive behavior (e.g., damaging social reputation, threats of rejection) have a particular personality profile. It consists of high neuroticism, and ...low extraversion, agreeableness, conscientiousness, and openness. Similar profiles of traits constitute broader personality dimensions known as metatraits of personality conceptualized in the Circumplex of Personality Metatraits (CPM). In the present study, we examined the location of proactive and reactive relational aggression in the circumplex of personality metatraits according to the CPM. Three hundred ninety participants (228 women and 162 men) responded to an online survey. Relational aggression was located between Gamma-Minus (Disharmony) and Alpha-Minus (Disinhibition), but fitted significantly to the theoretical location on the Gamma-Minus metatrait despite of the function (proactive vs. reactive) of relational aggression. We interpret the location of relational aggression within the circumplex of the metatraits with regards to temperamental correlates of metatraits (e.g., temperamental sensitivity).
Recent years have witnessed the fast development of quantum computing. Researchers around the world are eager to run larger and larger quantum algorithms that promise speedups impossible to any ...classical algorithm. However, the available quantum computers are still volatile and error-prone. Thus, layout synthesis, which transforms quantum programs to meet these hardware limitations, is a crucial step in the realization of quantum computing. In this paper, we present two synthesizers, one optimal and one approximate but nearly optimal. Although a few optimal approaches to this problem have been published, our optimal synthesizer explores a larger solution space, thus is optimal in a stronger sense. In addition, it reduces time and space complexity exponentially compared to some leading optimal approaches. The key to this success is a more efficient spacetime-based variable encoding of the layout synthesis problem as a mathematical programming problem. By slightly changing our formulation, we arrive at an approximate synthesizer that is even more efficient and outperforms some leading heuristic approaches, in terms of additional gate cost, by up to 100%, and also fidelity by up to 10x on a comprehensive set of benchmark programs and architectures. For a specific family of quantum programs named QAOA, which is deemed to be a promising application for near-term quantum computers, we further adjust the approximate synthesizer by taking commutation into consideration, achieving up to 75% reduction in depth and up to 65% reduction in additional cost compared to the tool used in a leading QAOA study.
A well-known challenge in estimating the mortality risks of obesity is reverse causality attributable to illness-associated and smoking-associated weight loss. Given that the likelihood of chronic ...and acute illnesses rises with age, reverse causality is most threatening to estimates derived from elderly populations.
I analyzed data from 12,523 respondents over 50 years old from a nationally representative longitudinal dataset, the Health and Retirement Study (HRS). The effects of both baseline body weight and time-varying weight change on mortality are estimated, adjusting for demographic and socio-economic variables, as well as time-varying confounders including illness and smoking. Body weight is measured by body mass index (BMI). In survival models for mortality, illness and smoking were lagged to minimize bias from reverse causality in estimates of the effect of weight change. Furthermore, because illness both causes and is caused by changes in BMI, I used a marginal structural model (MSM) rather than standard adjustment to control confounding by this and other time-dependent factors.
Overall, relative to normal weight, underweight and Class II/III at baseline are associated with hazard ratios that are 2.07 (95% confidence interval (CI): 1.28-3.37) and 1.82 (1.54-2.16) respectively, whereas overweight and Class I obesity do not significantly lower or raise the mortality risks. Furthermore, relative to stable weight change, all types of weight change lead to significantly increased risk of mortality. Specifically, large weight loss results in a mortality risk that is nearly 3.86 (3.26-4.58) times of staying in the stable weight range and small weight loss is about 1.81 (1.55-2.11 ) times riskier. In contrast, large weight gain and small weight gain are associated with hazard ratios that are 1.98 (1.67-2.35) and 1.20 (1.02-1.41) respectively.
Being underweight or severe obese at baseline is associated with excess mortality risk, and weight change tend to raise mortality risk. Both the confounding by illness and by smoking lead to overestimates of the effects of being underweight at baseline and of weight loss, but underestimates the effect of being obese at baseline.
For any x member of R.sup.d, d greater than or equal to 2, denote by pi.sup.x : R.sup.d\{x} right arrow S.sup.d-1 the radial projection pi.sup.x (y)= y - x/y - x. Given a Borel set E subset R.sup.d ...with dim.sub.H E less than or equal to d - 1, in this paper we investigate for how many x member of R.sup.d the radial projection pi.sup.x preserves the Hausdorff dimension of E, namely whether dim.sub.H pi.sup.x (E) = dim.sub.H E. We develop a general framework to link pi.sup.x(E), x member of F, and pi.sup.y(F), y member of E, for any Borel set F subset R.sup.d. In particular, this allows us to apply Orponen's estimate on visibility to study whether dim.sub.H pi.sup.x (E) = dim.sub.H E for some x member of F. More precisely, we show dim.sub.H{x member of R.sup.d : dim.sub.H pi.sup.x(E) < dim.sub.H E} less than or equal to 2(d - 1) - dim.sub.H E, for any Borel set E subset R.sup.d with dim.sub.H E member of (d - 2, d - 1. This improves the Peres--Schlag bound when dim.sub.H E member of (d - 3/2, d - 1, and it is optimal at the endpoint dim.sub.H E = d - 1. Keywords: Radial projection, visibility, Hausdorff dimension.
Ergonomic risks, driven by strenuous physical demands in complex work settings, are prevalent across industries. Addressing these challenges through detailed assessment and effective interventions ...enhances safety and employee well-being. Proper and timely measurement of physical workloads is the initial step towards holistic ergonomic control. This study comprehensively explores existing computer vision-based biomechanical analysis methods for workload assessment, assessing their performance against traditional techniques, and categorising them for easier use. Recent strides in artificial intelligence have revolutionised workload assessment, especially in realistic work settings where conventional methods fall short. However, understanding the accuracy, characteristics, and practicality of computer vision-based methods versus traditional approaches remains limited. To bridge this knowledge gap, a literature review along with a meta-analysis was completed in this study to illuminate model accuracy, advantages, and challenges, offering valuable insights for refined technology implementation in diverse work environments.
Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical ...significance to establish a scientific and reliable wireless sensor monitoring network for timely and accurately grasping nuclear radiation status and ensuring nuclear safety. In this article, we design a regional environmental nuclear radiation monitoring system based on Zigbee wireless sensor network by using Zigbee wireless technology. First, the network topology suitable for nuclear radiation environment monitoring is designed. Second, the JN5121 module is selected as the core of the Zigbee wireless sensor to build the network hardware platform. Finally, the article focuses on the receiving mechanism, data transmission, coordination between network nodes, network structure, and dynamic network management, and carries on the software development to the Zigbee wireless environment monitoring network. The system can measure the data in real time, display the dose rate of y radiation effectively, and realize the functions of remote control, field control, security alarm, and environmental monitoring. It has good promotion and application value.
Summary
Nowadays, with the continuous development of online media technologies, there has also been qualitative breakthroughs and innovations in the photographic art. A new type of virtual reality ...technology was born. Virtual reality technology is a three‐dimensional space model, the basis of using computer network media, and provides users with various aspects and multi‐view sensory experiences. First, it analyzes the photographic imagery and technology fundamentally. Then, it analyzes the basic elements of the photographic art form and analyzes several measures of the creative form of the photographic art. Finally, it focuses on the in‐depth research on the cooperation between technology and art in the innovation form. The photography art it has also absorbed the essence of all kinds of art in the practice. It has become a popular appreciation culture, but also, it brought new life to the life of people. 3D virtual technology can be able to create a “virtual world.” It has the sense of reality and imagination of the three‐dimensional graphics. Photography imaging and 3D image the fusion of art and technology embodies the diversity of art forms.
We introduce a dataset for facilitating audio-visual analysis of music performances. The dataset comprises 44 simple multi-instrument classical music pieces assembled from coordinated but separately ...recorded performances of individual tracks. For each piece, we provide the musical score in MIDI format, the audio recordings of the individual tracks, the audio and video recording of the assembled mixture, and ground-truth annotation files including frame-level and note-level transcriptions. We describe our methodology for the creation of the dataset, particularly highlighting our approaches to address the challenges involved in maintaining synchronization and expressiveness. We demonstrate the high quality of synchronization achieved with our proposed approach by comparing the dataset with existing widely used music audio datasets. We anticipate that the dataset will be useful for the development and evaluation of existing music information retrieval (MIR) tasks, as well as for novel multimodal tasks. We benchmark two existing MIR tasks (multipitch analysis and score-informed source separation) on the dataset and compare them with other existing music audio datasets. In addition, we consider two novel multimodal MIR tasks (visually informed multipitch analysis and polyphonic vibrato analysis) enabled by the dataset and provide evaluation measurements and baseline systems for future comparisons (from our recent work). Finally, we propose several emerging research directions that the dataset enables.
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