Institution
University of Lincoln
Education•Lincoln, Lincolnshire, United Kingdom•
About: University of Lincoln is a education organization based out in Lincoln, Lincolnshire, United Kingdom. It is known for research contribution in the topics: Population & Higher education. The organization has 2341 authors who have published 7025 publications receiving 124797 citations.
Topics: Population, Higher education, Mental health, Health care, Robot
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors evaluated the effect of conventional versus biodynamic management on agricultural ecosystems by quantifying fungal communities in multiple habitats using metagenomics and found that while management approach impacts different habitats in the environment in different ways, this does not automatically flow onto the harvested crop.
69 citations
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TL;DR: This work presents the successful synthesis of liposome-coated metal-organic framework (MOF) nanoparticles via the fusion method, and shows their successful loading with both single and multiple drugs at the same time makes them an interesting candidate for use in combination therapy.
Abstract: One of the main problems for effective treatment of cancer is resistances, which often require combination therapy-for effective treatment. While there are already some potential drug carriers-e.g., liposomes, available for treatment-the effective loading and retention of the desired drug ratio can be challenging. To address this challenge, we propose a new type of drug carrier: liposome-coated metal-organic framework (MOF) nanoparticles. They combine the advantages of liposomes with an easy and efficient loading process. In this work, we present the successful synthesis of liposome-coated MOF nanoparticles via the fusion method. The resulting particles, once loaded, show no premature leakage and an efficient release. Their successful loading with both single and multiple drugs at the same time makes them an interesting candidate for use in combination therapy.
69 citations
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TL;DR: It is concluded that, in general, it is better for veterinarians to treat suspected pain first rather than consider its significance only when the animal does not respond to behavior therapy, which is seriously limiting the recognition of this welfare problem.
Abstract: We argue that there is currently an under-reporting of the ways in which pain can be associated with problem behavior, which is seriously limiting the recognition of this welfare problem. A review of the caseloads of 100 recent dog cases of several authors indicates that a conservative estimate of around a third of referred cases involve some form of painful condition, and in some instances, the figure may be nearly 80%. The relationship is often complex but always logical. Musculoskeletal but also painful gastro-intestinal and dermatological conditions are commonly recognized as significant to the animal’s problem behavior. The potential importance of clinical abnormalities such as an unusual gait or unexplained behavioral signs should not be dismissed by clinicians in general practice, even when they are common within a given breed. In general, it is argued that clinicians should err on the side of caution when there is a suspicion that a patient could be in pain by carefully evaluating the patient’s response to trial analgesia, even if a specific physical lesion has not been identified.
69 citations
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TL;DR: The experimental results carried out on a variety of bi- and three-objective benchmark functions demonstrate that the proposed PBDMO method has competitive performance compared with some state-of-the-art algorithms.
Abstract: This paper proposes a new prediction-based dynamic multiobjective optimization (PBDMO) method, which combines a new prediction-based reaction mechanism and a popular regularity model-based multiobjective estimation of distribution algorithm (RM-MEDA) for solving dynamic multiobjective optimization problems. Whenever a change is detected, PBDMO reacts effectively to it by generating three subpopulations based on different strategies. The first subpopulation is created by moving nondominated individuals using a simple linear prediction model with different step sizes. The second subpopulation consists of some individuals generated by a novel sampling strategy to improve population convergence as well as distribution. The third subpopulation comprises some individuals generated using a shrinking strategy based on the probability distribution of variables. These subpopulations are tailored to form a population for the new environment. The experimental results carried out on a variety of bi- and three-objective benchmark functions demonstrate that the proposed technique has competitive performance compared with some state-of-the-art algorithms.
69 citations
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TL;DR: Novel methods for detecting blemishes in potatoes using machine vision are introduced and the method is able to build “minimalist” classifiers that optimise detection performance at low computational cost.
68 citations
Authors
Showing all 2452 results
Name | H-index | Papers | Citations |
---|---|---|---|
David R. Williams | 178 | 2034 | 138789 |
David Scott | 124 | 1561 | 82554 |
Hugh S. Markus | 118 | 606 | 55614 |
Timothy E. Hewett | 116 | 531 | 49310 |
Wei Zhang | 96 | 1404 | 43392 |
Matthew Hall | 75 | 827 | 24352 |
Matthew C. Walker | 73 | 443 | 16373 |
James F. Meschia | 71 | 401 | 28037 |
Mark G. Macklin | 69 | 268 | 13066 |
John N. Lester | 66 | 349 | 19014 |
Christine J Nicol | 61 | 268 | 10689 |
Lei Shu | 59 | 598 | 13601 |
Frank Tanser | 54 | 231 | 17555 |
Simon Parsons | 54 | 462 | 15069 |
Christopher D. Anderson | 54 | 393 | 10523 |