Pressure-relieving devices for preventing heel pressure ulcers

This is the protocol for a review and there is no abstract. The objectives are as follows: To determine the effects of pressure-relieving devices in preventing heel pressure ulcers

Simulating infinite-dimensional nonlinear diffusion bridges

The diffusion bridge is a type of diffusion process that conditions on hitting a specific state within a finite time period. It has broad applications in fields such as Bayesian inference, financial mathematics, control theory, and shape analysis. However, simulating the diffusion bridge for natural data can be challenging due to both the intractability of the drift term and continuous representations of the data. Although several methods are available to simulate finite-dimensional diffusion bridges, infinite-dimensional cases remain unresolved. In the paper, we present a solution to this problem by merging score-matching techniques with operator learning, enabling a direct approach to score-matching for the infinite-dimensional bridge. We construct the score to be discretization invariant, which is natural given the underlying spatially continuous process. We conduct a series of experiments, ranging from synthetic examples with closed-form solutions to the stochastic nonlinear evolution of real-world biological shape data, and our method demonstrates high efficacy, particularly due to its ability to adapt to any resolution without extra training

H2RBox-v2: Boosting HBox-supervised Oriented Object Detection via Symmetric Learning

With the increasing demand for oriented object detection e.g. in autonomous driving and remote sensing, the oriented annotation has become a labor-intensive work. To make full use of existing horizontally annotated datasets and reduce the annotation cost, a weakly-supervised detector H2RBox for learning the rotated box (RBox) from the horizontal box (HBox) has been proposed and received great attention. This paper presents a new version, H2RBox-v2, to further bridge the gap between HBox-supervised and RBox-supervised oriented object detection. While exploiting axisymmetry via flipping and rotating consistencies is available through our theoretical analysis, H2RBox-v2, using a weakly-supervised branch similar to H2RBox, is embedded with a novel self-supervised branch that learns orientations from the symmetry inherent in the image of objects. Complemented by modules to cope with peripheral issues, e.g. angular periodicity, a stable and effective solution is achieved. To our knowledge, H2RBox-v2 is the first symmetry-supervised paradigm for oriented object detection. Compared to H2RBox, our method is less susceptible to low annotation quality and insufficient training data, which in such cases is expected to give a competitive performance much closer to fully-supervised oriented object detectors. Specifically, the performance comparison between H2RBox-v2 and Rotated FCOS on DOTA-v1.0/1.5/2.0 is 72.31%/64.76%/50.33% vs. 72.44%/64.53%/51.77%, 89.66% vs. 88.99% on HRSC, and 42.27% vs. 41.25% on FAIR1M.Comment: 13 pages, 4 figures, 7 tables, the source code is available at https://github.com/open-mmlab/mmrotat

A kinetic description of electron beam ejection from spacecraft

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/94997/1/grl7005.pd

Detecting Rotated Objects as Gaussian Distributions and Its 3-D Generalization

Existing detection methods commonly use a parameterized bounding box (BBox) to model and detect (horizontal) objects and an additional rotation angle parameter is used for rotated objects. We argue that such a mechanism has fundamental limitations in building an effective regression loss for rotation detection, especially for high-precision detection with high IoU (e.g. 0.75). Instead, we propose to model the rotated objects as Gaussian distributions. A direct advantage is that our new regression loss regarding the distance between two Gaussians e.g. Kullback-Leibler Divergence (KLD), can well align the actual detection performance metric, which is not well addressed in existing methods. Moreover, the two bottlenecks i.e. boundary discontinuity and square-like problem also disappear. We also propose an efficient Gaussian metric-based label assignment strategy to further boost the performance. Interestingly, by analyzing the BBox parameters' gradients under our Gaussian-based KLD loss, we show that these parameters are dynamically updated with interpretable physical meaning, which help explain the effectiveness of our approach, especially for high-precision detection. We extend our approach from 2-D to 3-D with a tailored algorithm design to handle the heading estimation, and experimental results on twelve public datasets (2-D/3-D, aerial/text/face images) with various base detectors show its superiority.Comment: 19 pages, 11 figures, 16 tables, accepted by TPAMI 2022. Journal extension for GWD (ICML'21) and KLD (NeurIPS'21). arXiv admin note: text overlap with arXiv:2101.1195

Literasi Digital: Sosialisasi Penggunaan Media Sosial yang Sehat dan Provenance Bagi Angkatan Muda Gereja Protestan Maluku Ranting Elim Hative Besar, Kota Ambon

Literasi digital sangat penting diera sekarang ini, terutama dalam penggunaan media sosial yang sehat. Generasi muda yang dihadapkan dengan perkembangan teknologi informasi dan komunikasi yang pesat tentu harus memahami pentingnya penggunaan teknologi yang sehat terutama dalam menggunakan media sosial. Selain itu, provenance sebagai salah satu pengetahuan penting diketahui bagi generasi muda dalam rangka memilah-milah informasi yang ada sesuai dengan fakta yang terjadi. Kegiatan ini bertujuan untuk memberikan pemahaman maupun pengetahuan tentang Literasi Digital, terkhususnya penggunaan media sosial yang sehat dan provenance. Kegiatan ini melibatkan Tim PkM Fakultas Ilmu Komputer UKIM dan 20 peserta dari Angkatan Muda Gereja Protestan Maluku Ranting Elim Hative Besar. Kegiatan ini mendapatkan respons dan antusiasme positif terutama bagi peserta lewat pengetahuan dan pemahaman mengenai Literasi Digital dalam penggunaan media sosial yang sehat dan provenance

Pelatihan Perakitan dan Instalasi Komputer untuk Meningkatkan Kompetensi Generasi Digital

Dalam era digital saat ini, mahasiswa sebagai generasi digital dituntut harus memiliki kompetensi lebih untuk meningkatkan pemahaman mengenai komputer. Hal ini dapat terwujud dari kegiatan pelatihan perakitan dan instalasi komputer sebagai bentuk dari pengabdian kepada masyarakat. Pelatihan perakitan dan instalasi komputer dirancang sebagai solusi terhadap keterbatasan pemahaman teknis mahasiswa dalam pengelolaan perangkat keras dan lunak komputer. Metode pelaksanaan meliputi penyampaian teori dan praktik perakitan serta instalasi sistem operasi. Hasil kegiatan menunjukkan peningkatan signifikan pada pemahaman teknis mahasiswa dengan jumlah peserta sebanyak 19 orang yang terbagi ke dalam 4-5 kelompok. Setiap kelompok berhasil merakit dan menginstal sistem komputer dengan tingkat keberhasilan 100%. Kegiatan ini memberikan manfaat berupa penguatan literasi teknologi bagi mahasiswa sebagai generasi digital yang siap menghadapi tantangan teknologi masa depan. Kesimpulan menunjukkan bahwa pelatihan ini efektif dalam meningkatkan keterampilan teknis mahasiswa, serta memberikan kontribusi signifikan terhadap integrasi teknologi dalam pendidikan

Methods for leptospirosis laboratory diagnostics: features of experimentation, advantages and limitations

Leptospirosis is a cosmopolitan natural-focal disease representing a serious problem for the majority of the countries in the world including the Russian Federation because this infection causes a serious economic and social damage. Modern laboratory diagnostics of leptospiroses is based on a complex of bacteriological, immunological and molecularbiological methods used in various combinations depending on the problems and possibilities of the laboratories. At all variety, many methods are not applied in practice and the gold standard still remains the routine serological method. Disease diagnostics is based on a set of epidemiological, epizootological, clinical and pathoanatomical data with obligatory laboratory verification of the diagnosis. However often laboratory verification is retrospective or in general absent. For achievement of the best results in leptospirosis diagnostics, it is necessary to improve the available laboratory methods and to use it in practice. Especial attention should be given to introduction of new molecular technologies that simplify laboratory diagnostics and expand its possibilities

Aspects of Serological Diagnostics of Listeriosis (Literature Review)

The review presents data on the antigenic structure and the current classification of epidemically significant serovariants of Listeria. Description of species-specific properties of serovariants of Listeria, which may be common for two or more species, and common antigens with staphylococci and typhoid and paratyphoid bacteria, are given. It has been shown that only the antigenic scheme of Listeria monocytogenes is of practical interest for medical microbiology. Importance of serotyping in the epidemiological analysis to determine the source of infections and ways of its spreading has been determined. Differences in the designation of serovariants in the diagnosis of listeriosis in medical practice are observed. High level of adaptive properties of Listeria, its ability to reproduce in an abiotic environment, including food, susceptibility of immunodeficient individuals, prevalence of food pathway of infection pose a significant danger of increased sickness rate with listeriosis. Serological diagnostics of Listeria has not been developed in detail, and the existing serological methods are aimed at identifying specific antibodies to listeria. Advantages of the serological method include: quick results and the possibility to study any biological material. Currently available serological methods have a number of disadvantages: low reliability of results and low specificity of the study. The most promising method for identification of a serological group of cultures, according to the world classification, is the multiplex PCR method, based on the correlation between the serogroup of an isolate and the presence of specific open reading frames in its genome

EXAMINATION AND TESTING OF EXPERIMENTAL-PRODUCTION SERIES OF POLYVALENT BRUCELLOSIS SERUM

At present no commercial polyvalent brucellosis serum is produced in Russia. We developed a technology of polyvalent brucellosis high-effective and specific serum production without adsorption. Experimental-production series are obeyed the technical specification project