Publications by authors named "Kwok K"

Bottlebrush polymers, characterized by densely grafted side chains along a central backbone, have gained significant interest due to their unique properties in bulk and solution states. However, a comprehensive understanding of the internal crowdedness within single polymer chains in dilute solutions remains challenging, and direct evidence to visualize and manifest this effect is scarce. AIE offers a novel method to address this challenge.

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Underground office workspaces (UOW) have emerged as a sustainable option in land-scarce megacities. Yet, the main challenge is to design and manage underground spaces that cater to the psychological needs of occupants. By integrating insights from social psychology, urban studies, and policy making, we identify and provide evidence for a key psychological mechanism underlying the adoption of UOW: "locus of control", a psychological process that reflects whether people feel in control of their environment or see it as shaped by external forces.

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People with Parkinson's disease (PD) are prescribed a variety of medications to mitigate symptoms and improve their quality of life. These symptomatic therapies cover a range of pharmacological classes, including classical dopaminergic treatments, other antiparkinsonian agents, and pharmacotherapies for non-PD conditions. Often, medications are prescribed for concomitant use and in increasing doses, particularly as the disease progresses.

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A search is presented for an extended Higgs sector with two new particles, X and ϕ, in the process X→ϕϕ→(γγ)(γγ). Novel neural networks classify events with diphotons that are merged and determine the diphoton masses. The search uses LHC proton-proton collision data at sqrt[s]=13  TeV collected with the CMS detector, corresponding to an integrated luminosity of 138  fb^{-1}.

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As a traditional medicinal food, Kudzu root (KR) has been proven to be an effective medicine for treating osteoporosis (OP). However, its precise targets and underlying integrated pharmacological mechanisms on OP have not yet been systematically investigated. The aim of the present study was to systemically explore the active ingredients, molecular targets, and ingredient-target network of KR against OP by the methods of network pharmacology followed by biological validation in a glucocorticoid-induced bone loss model of zebrafish.

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Unlabelled: Enteritidis (. Enteritidis) stands as a leading cause of human salmonellosis worldwide with a tendency to spread through contaminated foodstuffs and animals. In Hong Kong, a significant proportion of food products are imported, and many cases are often caused by the consumption of contaminated food, hence making the geographical surveillance of drug-resistant .

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SARS-CoV-2 variants are mainly defined by mutations in their spike. It is therefore critical to understand how the evolutionary trajectories of spike affect virus phenotypes. So far, it has been challenging to comprehensively compare the many spikes that emerged during the pandemic in a single experimental platform.

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Contrast-enhanced mammography (CEM) is an advanced emerging imaging technique that uses iodine contrast medium to improve breast cancer detection. Understanding CEM artefacts and pitfalls is important to prevent diagnostic misinterpretation. This article aims to provide a comprehensive review of the artefacts and potential diagnostic pitfalls encountered in CEM, focusing on their characteristic imaging features and strategies to mitigate these issues.

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Article Synopsis
  • Hepatocellular carcinoma (HCC) has a high mortality rate, and current diagnostic methods like LI-RADS often lead to indeterminate results, complicating accurate diagnosis.
  • Researchers developed four deep learning models using CT scans, finding that the Spatio-Temporal 3D Convolution Network (ST3DCN) performed best, significantly outperforming standard radiological interpretation in identifying HCC.
  • The ST3DCN model demonstrated strong diagnostic accuracy in both internal validation (AUCs up to 0.919) and external testing (AUC of 0.901), indicating its potential as an effective tool for HCC diagnosis.
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Article Synopsis
  • The study focuses on detecting multijet signatures from proton-proton collisions at a high energy of 13 TeV, analyzing a dataset totaling 128 fb^{-1}.
  • A special data scouting method is utilized to pick out events with low combined momentum in jets.
  • This research is pioneering in its investigation of electroweak particle production in R-parity violating supersymmetric models, particularly examining hadronically decaying mass-degenerate higgsinos, and it broadens the limits on the existence of R-parity violating top squarks and gluinos.
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Background: There are growing global concerns about informal waste pickers and their health issues. This cross-sectional study drew on the structural violence theory to examine the mental health situation of informal waste pickers in Hong Kong and identified the determinants of depression and anxiety in them ranging from individual to societal and governmental levels.

Method: The data from the largest territory-wide study of informal waste pickers in 2023 was analysed.

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The use of alkalinising agents prior to racing for manipulating performance in the horse has been identified since the 1990s. To mitigate the risk, an international threshold for available carbon dioxide in equine plasma based on analyses using the Beckman Synchron EL-ISE analyser was adopted in 1994 by the International Federation of Horseracing Authorities (IFHA) and revised from 37 to 36 mM in 2004. In 2009, the technical support for the above instrument was discontinued by its manufacturer.

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The first search for soft unclustered energy patterns (SUEPs) is performed using an integrated luminosity of 138  fb^{-1} of proton-proton collision data at sqrt[s]=13  TeV, collected in 2016-2018 by the CMS detector at the LHC. Such SUEPs are predicted by hidden valley models with a new, confining force with a large 't Hooft coupling. In events with boosted topologies, selected by high-threshold hadronic triggers, the multiplicity and sphericity of clustered tracks are used to reject the background from standard model quantum chromodynamics.

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Background: Medical research improves patient outcomes, patient satisfaction, staff morale and retention. It is unclear what research opportunities and training staff in acute medicine had.

Methods: The Society for Acute Medicine supported a survey to assess current research activity, training and perceived opportunities and barriers.

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Humans experience many influenza infections over their lives, resulting in complex and varied immunological histories. Although experimental and quantitative analyses have improved our understanding of the immunological processes defining an individual's antibody repertoire, how these within-host processes are linked to population-level influenza epidemiology in humans remains unclear. Here, we used a multilevel mathematical model to jointly infer antibody dynamics and individual-level lifetime influenza A/H3N2 infection histories for 1,130 individuals in Guangzhou, China, using 67,683 haemagglutination inhibition (HI) assay measurements against 20 A/H3N2 strains from repeat serum samples collected between 2009 and 2015.

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Traditionally, high energy physics (HEP) experiments have relied on x86 CPUs for the majority of their significant computing needs. As the field looks ahead to the next generation of experiments such as DUNE and the High-Luminosity LHC, the computing demands are expected to increase dramatically. To cope with this increase, it will be necessary to take advantage of all available computing resources, including GPUs from different vendors.

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Oncologic Radiology (OR) is a new higher subspecialty training programme developed by the Hong Kong College of Radiologists. Instead of the traditional organ-centric approach, the curriculum ensures exposure in a wide spectrum of cancers to trainees who wish to pursue a career in cancer imaging and interventions. The OR training is hands-on and trainees will learn to interpret and report many imaging modalities including ultrasound, mammography, computed tomography and magnetic resonance.

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The first search for the Z boson decay to ττμμ at the CERN LHC is presented, based on data collected by the CMS experiment at the LHC in proton-proton collisions at a center-of-mass energy of 13 TeV and corresponding to an integrated luminosity of 138  fb^{-1}. The data are compatible with the predicted background. For the first time, an upper limit at the 95% confidence level of 6.

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This article is concerned with the problem of asynchronous control for Interval Type-2 (IT2) fuzzy nonhomogeneous Markov jump systems against successive denial-of-service (DoS) attacks. The system and the controller are assumed to be connected through a communication channel subject to malicious attacks. The maximum number and probability distribution of successive attacks are considered.

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Observation of the decay.

Eur Phys J C Part Fields

October 2024

Using proton-proton collision data corresponding to an integrated luminosity of collected by the CMS experiment at , the decay is observed for the first time, with a statistical significance exceeding 5 standard deviations. The relative branching fraction, with respect to the decay, is measured to be , where the first uncertainty is statistical, the second is systematic, and the third is related to the uncertainties in and .

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A search for collective effects inside jets produced in proton-proton collisions is performed via correlation measurements of charged particles using the CMS detector at the CERN LHC. The analysis uses data collected at a center-of-mass energy of sqrt[s]=13  TeV, corresponding to an integrated luminosity of 138  fb^{-1}. Jets are reconstructed with the anti-k_{T} algorithm with a distance parameter of 0.

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