Fedratinib combined with ropeginterferon alfa-2b in patients with myelofibrosis (FEDORA): study protocol for a multicentre, open-label, Bayesian phase II trial by McIlroy, G, Gaskell, C, Jackson, A, Yafai, E, Tasker, R, Thomas, C, Fox, S, Boucher, R, Ghebretinsea, F, Harrison, C, Mead, AJ, McMullin, MF

“…FEDORA uses a within-patient dose escalation regimen to ensure each patient reaches a personalised dose combination that is acceptable. …”

May measurement month 2022: an analysis of blood pressure screening findings from Sierra Leone by Jalloh, MB, Williams, CEE, Jegede, OG, Malijan, GMB, Naveed, A, Kanu, A, Bah, AK, Jalloh, F, Jalloh, A, Faulkner, MMJ, Agboola, K, Baldeh, M, Russell, JBW, Oladapo, OO

“…Notably, 42.9% of the participants with known hypertension did not adhere to their antihypertensive medication regimen, citing cost, availability, side effects, and forgetfulness as common reasons. …”

Repurposing nitroxoline to address antibiotic resistance in the production of poultry for consumption by Zhou, Y

“…<em>In-vivo</em> evaluation (Chapter 5) established an optimal dosage regimen (100 mg/kg of NTX in feed) for treating <em>Salmonella</em> infections in poultry without promoting the development of resistance. …”

Investigating the impact of growth arrest mechanisms on tumour growth and responses to radiotherapy and hyperthermia by Colson, C

“…In each regime, we determine the biological processes that may underpin positive and negative treatment outcomes and assess which treatment (RT, HT or RT + HT) and dosing regimen maximise the reduction in tumour burden. This work enables us to generate a set of hypotheses that may explain some of the widely varying tumour behaviours observed experimentally and clinically.…”

Cytisine versus varenicline for smoking cessation in a primary care setting: a randomized non-inferiority trial by Oreskovic, T, Percac-Lima, S, Ashburner, JM, Tiljak, H, Rifel, J, Klemenc Ketiš, Z, Oreskovic, S

“…Given the much lower cost of cytisine treatment, its lower rate of adverse events, and higher feasibility (but its likely lower effectiveness with the standard dosage regimen), future analyses should assess the cost-effectiveness of the two treatments for health policy considerations.…”

离散、家国、女性 ： 韩素音的中国性论述 = Diaspora, home, feminism : the Chinese-ness in Han Suyin’s works by 梁依婷 Neo, Yi Ting

“…Han Suyin had once faced difficult choices in politics and livelihood, however she eventually chose to become the connection between different countries and willingly support the Chinese regimental changes. Her acknowledgement towards China and her awkward identity as a Chinese-European, is an interesting yet complicated case within China’s history, society and literature, and is of meaningful research value. …”
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Design and development of image processing algorithms for classification of vehicles by Zhang, Chunrui

“…In this thesis a new technique is presented, which is based on motion segmentation and some other segmentation approaches such as split-merge and region growing and color image segmentation.…”
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Variational model with image denoising fitting term for boundary extraction of breast ultrasound images by Badrulhisam, Nurdina, Ismail, Nurhuda, Jumaat, Abdul Kadir, Maasar, Mohd Azdi, Laham, Mohamed Faris

“…A recent selective variational model, termed the Convex Distance Selective Segmentation (CDSS) model, is effective at segmenting a specific image object. …”
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Machine learning based retinal vessel detection by Li, Hongru

“…Vessel Detection/segmentation based on computer vision and machine learning provides an efficient and economic benefit tool for retinal image analysis. …”
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Automated colorization of animated characters by Lin, Jiajun

“…Additionally, image segmentation models, including PSANet and PSPNet, are investigated for possible integration into Segment Matching Models to achieve T-pose Reference-based Prediction. …”
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Self-learning shape recognition in medical images by Ma, Jingting

“…Embedded into an existing segmentation framework, experimental results show that SSM built with the proposed RKPCA outperforms the state-of-the-art modeling techniques in terms of model quality and segmentation accuracy. …”
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Information technology industry in Taiwan : a study of enterprise solutions and services by Dua, Chong Kiang, Lin, Wen Jong, Sim, Elsie Wei Lin, Qian, Renee Chengming

“…This study focuses on the segment of ‘enterprise solutions and services. Definitions and categorization of software products are first established to enable further literature discussion on the critical success factors for companies operating in this segment.…”
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Interactive learning on simple infra-red transceiver by Chee, Danielle Yan Kei

“…This project is made of two main parts, which would be a hardware segment and a software segment. The hardware segment involves an infra-red remote that transmits a modulated message signal and a receiver system that senses infra-red light and demodulates the incoming signal. …”
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Satellite image fusion for land cover classification by Tsan, Li Ling

“…Through the remote sensing techniques using Synthetic Aperture Radar(SAR), SAR images are pre-processed and later segmented to produce the segmentation maps which gives the land cover classification. …”
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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

“…This approach reduced inter-observer variability and improved the consistency of myocardial segmentation.</p> <br> <p>The fourth goal is to assist the automated segmentation of CMR short-axis slices into the American Heart Association 16-segment model for clinical applications across various CMR modalities. …”

Fracture identification in well logging images: two-stage adaptive network by Zhang, Wei, Li, Zhipeng, Wu, Tong, Yao, Zhenqiu, Qiu, Ao, Li, Yanjun, Shi, Yibing

“…Automatic fracture identification and segmentation in well logging images is increasingly critical but arduous because of extensive exploration for oil and gas. …”
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Satellite optical and radar image fusion for land cover classification by Zhang, Guobin

“…Following that, different segmentation techniques will be applied to the filtered SAR image, such as Watersheld, Chan-Vese, Superpixel and K-Means segmentation methods. …”
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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

“…Satellite image time series (SITS) segmentation is crucial for many applications, like environmental monitoring, land cover mapping, and agricultural crop type classification. …”
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Matching-constrained active contours with affine-invariant shape prior by Yeung, Sai-Kit, Wang, Junyan, Chan, Kap Luk

“…In the object segmentation by active contours, an initial contour provided by user is often required. …”
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Behavior of the southernmost San Andreas fault during the past 300 years by Sieh, Kerry, Williams, Patrick L.

“…Surficial creep occurs at low rates along the Coachella Valley segment of the San Andreas fault, which has not produced a large earthquake during the period of historical record. …”
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