Publications by authors named "Kenyon A"

Previous research on transistor gate oxides reveals a clear link between hydrogen content and oxide breakdown. This has implications for redox-based resistive random access memory (ReRAM) devices, which exploit soft, reversible, dielectric breakdown, as hydrogen is often not considered in modeling or measured experimentally. Here quantitative measurements, corroborated across multiple techniques are reported, that reveal ReRAM devices, whether manufactured in a university setting or research foundry, contain concentrations of hydrogen at levels likely to impact resistance switching behavior.

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Countless efforts have been made to eradicate cervical cancer worldwide, including improving disease screening and human papillomavirus (HPV) vaccination programs. Nevertheless, cervical cancer still claims the lives of more than 300 000 women every year. Persistent infections with high-risk HPV genotypes 16 and 18 are the main cause of cancer and may result in HPV integration into the host genome.

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The objective of this study was to determine whether a novel footbath solution containing stannous fluoride (SnF) was superior to 5% copper sulfate solution for the treatment and prevention of digital dermatitis (DD) in dairy cattle. Study 1 was conducted over 4 wk in Missouri and involved 34 lactating Holstein-Friesian cows with hind feet DD lesions. Cows in group SF walked through a footbath containing a proprietary formulation of SnF once weekly, whereas cows in group CS walked through a 5% CuSO footbath once daily for 5 d each week.

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The phytoremediation potential of floating aquatic plants to accumulate and remove two common PFAS from contaminated water was investigated. Free-floating hydrophytes and were grown in water spiked with 0.5, 1, or 2 ppm perfluorooctanoic acid (PFOA) or perfluorooctanesulfonic acid (PFOS) for seven days.

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Article Synopsis
  • Artificial Intelligence (AI) is getting much better thanks to deep learning, which uses lots of simple computer units working together.
  • Traditional computers have trouble moving data quickly, so new methods like using memristors as memory devices can help solve this problem by being more efficient and powerful.
  • This work explains how memristive neural networks work, their design options, and offers guidance for those interested in studying or improving these new technologies.
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Myeloid neoplasms represent a broad spectrum of hematological disorders for which somatic mutation status in key driver genes is important for diagnosis, prognosis and treatment. Here we summarize the findings of a targeted, next generation sequencing laboratory developed test in 24,639 clinical myeloid samples. Data were analyzed comprehensively and as part of individual cohorts specific to acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myeloproliferative neoplasms (MPN).

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This qualitative study examined the perceptions of potential wellbeing benefits of local green and blue spaces for adults aged over 50 years in a coastal town in North West England. At a population level, living close to green and blue spaces is associated with better mental and physical health, with the strength of the benefits being inversely related to the economic prosperity of an area. However, living in economically disadvantaged coastal communities may be associated with poorer health and wellbeing, particularly for older adults, despite the proximity to blue (and often green) space.

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Pilocytic astrocytoma (PA), a central nervous system (CNS) World Health Organization grade 1 tumor, is mainly seen in children or young adults aged 5-19. Surgical resection often provides excellent outcomes, but residual tumors may still remain. This low-grade tumor is well recognized for its classic radiological and morphological features; however, some unique molecular findings have been unveiled by the application of next-generation sequencing (NGS).

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Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever-increasing computing requirements of these structures have contributed to a desire for novel technologies and paradigms, including memristor-based hardware accelerators. Solutions based on memristive crossbars and analog data processing promise to improve the overall energy efficiency.

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New computing technologies inspired by the brain promise fundamentally different ways to process information with extreme energy efficiency and the ability to handle the avalanche of unstructured and noisy data that we are generating at an ever-increasing rate. To realize this promise requires a brave and coordinated plan to bring together disparate research communities and to provide them with the funding, focus and support needed. We have done this in the past with digital technologies; we are in the process of doing it with quantum technologies; can we now do it for brain-inspired computing?

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Within the immune system, microRNAs (miRNAs) exert key regulatory functions. However, what are the mRNA targets regulated by miRNAs and how miRNAs are transcriptionally regulated themselves remain for the most part unknown. We found that in primary human memory T helper lymphocytes, miR-150 was the most abundantly expressed miRNA, and its expression decreased drastically upon activation, suggesting regulatory roles.

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Diffuse large B-cell lymphoma (DLBCL) represents the most common form of non-Hodgkin lymphoma (NHL) that is still incurable in a large fraction of patients. Tetraspanin CD37 is highly expressed on mature B lymphocytes, and multiple CD37-targeting therapies are under clinical development for NHL. However, CD37 expression is nondetectable in ∼50% of DLBCL patients, which correlates with inferior treatment outcome, but the underlying mechanisms for differential CD37 expression in DLBCL are still unknown.

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Resistive switching (RS) devices are emerging electronic components that could have applications in multiple types of integrated circuits, including electronic memories, true random number generators, radiofrequency switches, neuromorphic vision sensors, and artificial neural networks. The main factor hindering the massive employment of RS devices in commercial circuits is related to variability and reliability issues, which are usually evaluated through switching endurance tests. However, we note that most studies that claimed high endurances >10 cycles were based on resistance cycle plots that contain very few data points (in many cases even <20), and which are collected in only one device.

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Introduction: Positive expiratory pressure (PEP) and oscillating positive expiratory pressure (OscPEP) therapies are often used by people with cystic fibrosis (CF) to facilitate airway clearance. However, suboptimal adherence and poor technique may reduce their effectiveness.

Objective: To develop a device (PEPtrac) to accurately measure and provide preliminary clinical data of adherence and technique characteristics when airway clearance is performed using PEP/OscPEP devices.

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MBRA is an aerobic alphaproteobacterium isolated from the human skin on methanol-containing minimal medium. The genome was sequenced using Illumina and Nanopore technology, and the genome was assembled using Unicycler. MBRA possesses two genes, one gene pair, and , and a complete serine pathway.

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Next-generation sequencing (NGS) is widely used in genetic testing for the highly sensitive detection of single nucleotide changes and small insertions or deletions. However, detection and phasing of structural variants, especially in repetitive or homologous regions, can be problematic due to uneven read coverage or genome reference bias, resulting in false calls. To circumvent this challenge, a computational approach utilizing customized scaffolds as supplementary reference sequences for read alignment was developed, and its effectiveness demonstrated with two CBS gene variants: NM_000071.

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Artificial neural networks are notoriously power- and time-consuming when implemented on conventional von Neumann computing systems. Consequently, recent years have seen an emergence of research in machine learning hardware that strives to bring memory and computing closer together. A popular approach is to realise artificial neural networks in hardware by implementing their synaptic weights using memristive devices.

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: Two commercial pasture-based farms within the North Canterbury district of New Zealand were feeding fodder beet ( L.) as a large proportion of the diet to cows during the dry period. On each farm 25 multiparous cows were blood sampled up to six times from 28 days before, to 21 days after calving (Day 0).

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Flow cytometry detects and measures the physical and chemical characteristics of cells or particles. In medical laboratories, flow cytometers are used to quantify changes in cell populations associated with disease states, such as AIDS. While a powerful technique, it is challenging to teach the principles of flow cytometry to undergraduate students.

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The authors disagree with previous research concluding that the Home Health Care Consumer Assessment of Healthcare Providers and Services (CAHPS) publicly reported data are insufficiently adjusted for patient comorbidities.

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Article Synopsis
  • Memristors are versatile components used in machine learning and neuromorphic hardware, functioning as memory elements and mimicking synaptic behaviors.
  • An analog operation mode in silicon oxide memristors is demonstrated to tackle edge detection problems.
  • The proposed solution shows competitive performance with existing memristor research, achieving a benchmark score of 0.465 on the BSDS500 dataset while using fewer components.
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Article Synopsis
  • Macrophages play a critical role in cardiac repair after a heart attack by modifying the extracellular matrix and activating fibroblasts for collagen production.
  • Research shows that macrophages not only help initiate scar formation but also directly contribute collagen to the scar tissue through a process demonstrated in both zebrafish and mice.
  • This study challenges the traditional view that collagen deposition is solely the responsibility of myofibroblasts, indicating that macrophages are significant players in the fibrotic response following heart injury.
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To determine if vitamin D treatment reduced the incidence of vaginal prolapse in pregnant sheep on a North Canterbury sheep breeding property. Pregnant ewes from a single farm were allocated to three treatment groups in May 2018. At this time, the first group (EarlyVitADE; n = 512) received an I/M 1 mL dose of 500,000 IU/mL vitamin D, 60,000 IU/mL vitamin A, and 25 mg/mL vitamin E.

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Increasingly, evidence shows that built environments (BEs) can encourage walking. Not only does walking have the potential to benefit health, it can also be used as a form of transport, reducing reliance on motorised transport and reducing CO2 emissions. However, little is known about the distribution of such features within urban environments.

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