12,660 research outputs found

    Marshallese Migrants and Poultry Processing

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    This descriptive study investigates the work and health conditions of Marshallese poultry-plant workers in Northwest Arkansas, a global center of the poultry industry. Poultry processing is very dangerous work including numerous human rights and ethical concerns. Processing work has historically been carried out by marginalized workers, such as women, minorities, and immigrants. The Marshallese, one of the Pacific Islander groups, are the latest wave of migrants sourced as processing workers. A survey was conducted with a site-based, convenience sample of current and former Marshallese poultry-plant workers. The final analysis was based on a total of 198 questionnaires. The study showed that Marshallese poultry workers experienced significant safety and health risks at work. It revealed similarities and differences between the Marshallese and previous worker groups. Although their special visa status makes them very attractive workers, their language barriers and health disparities created challenges for the Marshallese workers and the poultry industry

    DiffuPose: Monocular 3D Human Pose Estimation via Denoising Diffusion Probabilistic Model

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    Thanks to the development of 2D keypoint detectors, monocular 3D human pose estimation (HPE) via 2D-to-3D uplifting approaches have achieved remarkable improvements. Still, monocular 3D HPE is a challenging problem due to the inherent depth ambiguities and occlusions. To handle this problem, many previous works exploit temporal information to mitigate such difficulties. However, there are many real-world applications where frame sequences are not accessible. This paper focuses on reconstructing a 3D pose from a single 2D keypoint detection. Rather than exploiting temporal information, we alleviate the depth ambiguity by generating multiple 3D pose candidates which can be mapped to an identical 2D keypoint. We build a novel diffusion-based framework to effectively sample diverse 3D poses from an off-the-shelf 2D detector. By considering the correlation between human joints by replacing the conventional denoising U-Net with graph convolutional network, our approach accomplishes further performance improvements. We evaluate our method on the widely adopted Human3.6M and HumanEva-I datasets. Comprehensive experiments are conducted to prove the efficacy of the proposed method, and they confirm that our model outperforms state-of-the-art multi-hypothesis 3D HPE methods

    Implantation of bone marrow-derived buffy coat can supplement bone marrow stimulation for articular cartilage repair

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    SummaryObjectiveBone marrow stimulation (BMS) has been regarded as a first line procedure for repair of articular cartilage. However, repaired cartilage from BMS is known to be unlike that of hyaline cartilage and its inner endurance is not guaranteed. The reason presumably came from a shortage of cartilage-forming cells in blood clots derived by BMS. In order to increase repairable cellularity, the feasibility of autologous bone marrow-derived buffy coat transplantation in repair of large full-thickness cartilage defects was investigated in this study.MethodsRabbits were divided into four groups: the defect remained untreated as a negative control; performance of BMS only (BMS group); BMS followed by supplementation of autologous bone marrow buffy coat (Buffy coat group); transplantation of autologous osteochondral transplantation (AOTS) as a positive control.ResultsRepair of cartilage defects in the Buffy coat group in a rabbit model was more effective than BMS alone and similar to AOTS. Gross findings, histological analysis, histological scoring, immunohistochemistry, and chemical assay demonstrated that supplementation of autologous bone marrow buffy coat after BMS arthroplasty effectively repaired cartilage defects in a rabbit model, and was more effective than BMS arthroplasty alone.ConclusionSupplementation of autologous bone marrow-derived buffy coat in cases of BMS could be a useful clinical protocol for cartilage repair

    Analysis of Laser ARPES from Bi2_2Sr2_2CaCu2_2O8+δ_{8+\delta} in superconductive state: angle resolved self-energy and fluctuation spectrum

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    We analyze the ultra high resolution laser angle resolved photo-emission spectroscopy (ARPES) intensity from the slightly underdoped Bi2_2Sr2_2CaCu2_2O8+δ_{8+\delta} in the superconductive (SC) state. The momentum distribution curves (MDC) were fitted at each energy \w employing the SC Green's function along several cuts perpendicular to the Fermi surface with the tilt angle θ\theta with respect to the nodal cut. The clear observation of particle-hole mixing was utilized such that the complex self-energy as a function of ω\omega is directly obtained from the fitting. The obtained angle resolved self-energy is then used to deduce the Eliashberg function \alpha^2 F^{(+)}(\th,\w) in the diagonal channel by inverting the d-wave Eliashberg equation using the maximum entropy method. Besides a broad featureless spectrum up to the cutoff energy ωc\omega_c, the deduced α2F\alpha^2 F exhibits two peaks around 0.05 eV and 0.015 eV. The former and the broad feature are already present in the normal state, while the latter emerges only below TcT_c. Both peaks become enhanced as TT is lowered or the angle th\th moves away from the nodal direction. The implication of these findings are discussed.Comment: 7 pages, 5 figures, summited to PR

    Conventionalization, Bifurcation, and Quality of Life: Certified and Non-Certified Organic Farmers in Texas

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    Organic agriculture has been advanced as a production system that improves environmental quality and supports rural community development. Recent developments in organics have called into question both assertions. Researchers have argued that the advent of national-level organic standards has contributed to the conventionalization and bifurcation of organics. Conventionalization refers to the process by which organic agriculture increasingly takes on the characteristics of mainstream industrial agriculture. Bifurcation refers to the process by which the organic agriculture adopts a dual-structure of smaller, lifestyle-oriented producers and larger, industrial-scale producers. This research examines the conventionalization and bifurcation theses through a comparison of certified organic and non-certified organic producers in Texas. We conclude that the case of organics in Texas provides mixed support for the conventionalization thesis

    Global Stability of FAST TCP in Single-Link Single-Source Network

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    We consider a single-link single-source network with FAST TCP source, and propose a static approximation of queuing delay dynamics at the link. The static approximation turns out to be a form with network feedback delay, which enables to analyze FAST TCP reflecting the effect of network feedback delay. Based on a continuous-time dynamic model of FAST TCP, we achieve the boundedness of window size and a sufficient condition for global asymptotic stability. The simulation results illustrate the validity of the sufficient condition for global asymptotic stability

    Bandwidth-Controlled Insulator-Metal Transition and Correlated Metallic State in 5dd Transition Metal Oxides Srn+1_{n+1}Irn_{n}O3n+1_{3n+1} (nn=1, 2, and \infty)

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    We investigated the electronic structures of the 5dd Ruddlesden-Popper series Srn+1_{n+1}Irn_{n}O3n+1_{3n+1} (nn=1, 2, and \infty) using optical spectroscopy and first-principles calculations. As 5dd orbitals are spatially more extended than 3dd or 4dd orbitals, it has been widely accepted that correlation effects are minimal in 5dd compounds. However, we observed a bandwidth-controlled transition from a Mott insulator to a metal as we increased nn. In addition, the artificially synthesized perovskite SrIrO3_{3} showed a very large mass enhancement of about 6, indicating that it was in a correlated metallic state
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