Enhanced bone cement for fixation of prosthetic joint utilizing nanoparticles.

Bone cement is commonly utilized to secure prosthetic joints in the body because of its robust fixation, stability, biocompatibility, and immediate load-bearing capability. However, issues such as loosening, leakage, and insufficient bioactivity can lead to its failure. Therefore, improving its mechanical, physical, and biological properties is crucial for enhancing its efficiency.

Robust detection and refinement of saliency identification.

Salient object detection is an increasingly popular topic in the computer vision field, particularly for images with complex backgrounds and diverse object parts. Background information is an essential factor in detecting salient objects. This paper suggests a robust and effective methodology for salient object detection.

Effect of using nano-particles of magnesium oxide and titanium dioxide to enhance physical and mechanical properties of hip joint bone cement.

In this work, the effect of adding Magnesium Oxide (MgO) and Titanium Dioxide (TiO) nanoparticles to enhance the properties of the bone cement used for hip prosthesis fixation. Related to previous work on enhanced bone cement properties utilizing MgO and TiO, samples of composite bone cement were made using three different ratios (0.5%:1%, 1.

Stripping back the mask: Working conditions on digital labour platforms during the COVID-19 pandemic.

Digital labour platforms have been widely promoted as a solution to the unemployment crisis sparked by the COVID-19 pandemic. However, the pandemic has also highlighted the harms to gig workers-who are exposed either to income loss, or to infection while carrying out essential work, but excluded from labour protections. We examine the COVID-19 policies of 191 platforms in 43 countries to understand how the crisis has shifted the conventions of the gig economy.

Automated brain tumor segmentation from multi-slices FLAIR MRI images.

Brain tumors are considered to be a leading cause of cancer death among young people. Early diagnosis is thus essential for treatment. The brain segmentation process is still challenging due to complexity and variation of the tumor structure, intensity similarity between tumor tissues and normal brain tissues.

Ethnocultural Gerontological Nursing: An Integrative Literature Review.

The aging population is growing increasingly more diverse, with one in four older adults from an ethnic minority group by 2050, while the nursing force will largely remain members of a single race White population. The purpose of this review is to appraise the state of nursing knowledge in relationship to meeting the needs of elders in unique racial/ethnic groups using two approaches: evaluating the efficacy of current knowledge and evaluating the state of nursing knowledge about ethnocultural gerontological nursing based on an integrative review of nursing literature. Thirty-four articles were reviewed.

Developing and proposing the ethno-cultural gerontological nursing model.

By 2050, for the first time in U.S. history, almost half of elders will be from ethnic minority groups.

Nursing assistants' communication styles in Korean American older adults with dementia: a review of the literature.

As ethnic diversity increases in the United States with the anticipated increase in dementia, it is critical to understand the implications of dementia and culturally appropriate communication for ethnic minority older adults with dementia. Utilizing the Ethno-Cultural Gerontological Nursing model and the Progressively Lowered Stress Threshold model, this article describes the relationship between nursing assistants' communication style and behavioral symptoms of dementia, focused on Korean American older adults with dementia residing in nursing homes. The discussion includes reviewing currently available studies, nursing implications, and suggestions for future studies.

Segmentation of retinal blood vessels using a novel clustering algorithm (RACAL) with a partial supervision strategy.

In this paper, segmentation of blood vessels from colour retinal images using a novel clustering algorithm with a partial supervision strategy is proposed. The proposed clustering algorithm, which is a RAdius based Clustering ALgorithm (RACAL), uses a distance based principle to map the distributions of the data by utilising the premise that clusters are determined by a distance parameter, without having to specify the number of clusters. Additionally, the proposed clustering algorithm is enhanced with a partial supervision strategy and it is demonstrated that it is able to segment blood vessels of small diameters and low contrasts.

Campylobacter upsaliensis: Another pathogen for consideration in the United States.

While evaluating quinolone resistance in a sample of Campylobacter isolates recovered from patients with campylobacteriosis in Los Angeles County, California, in 1998, we discovered that the second most frequently isolated species was Campylobacter upsaliensis (6 [4%] of 155 isolates). The ability of laboratories to recover this species may be dependent on the culture conditions and the media used. Three dogs living in the households of 2 of these 6 patients had C.