Publications by authors named "Pun C"

Generative methods are currently popular for medical report generation, as they automatically generate professional reports from input images, assisting physicians in making faster and more accurate decisions. However, current methods face significant challenges: 1) Lesion areas in medical images are often difficult for models to capture accurately, and 2) even when captured, these areas are frequently not described using precise clinical diagnostic terms. To address these problems, we propose a Visual-Linguistic Diagnostic Semantic Enhancement model (VLDSE) to generate high-quality reports.

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  • - The Daya Bay experiment has successfully measured the oscillation amplitude and frequency of reactor antineutrinos over nearly 2,000 days of data, finding significant results about their behavior.
  • - They observed over 3.6 million signal candidates using improved selection and calibration methods, leading to a measurement of sin²2θ₁₃ = 0.0759 with a precision that indicates how antineutrinos change states.
  • - Combining results from different detection methods at Daya Bay, the overall measurement of sin²2θ₁₃ increased precision to 0.0833±0.0022, representing an 8% improvement in understanding these neutrino properties.
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This Letter presents results of a search for the mixing of a sub-eV sterile neutrino with three active neutrinos based on the full data sample of the Daya Bay Reactor Neutrino Experiment, collected during 3158 days of detector operation, which contains 5.55×10^{6} reactor ν[over ¯]_{e} candidates identified as inverse beta-decay interactions followed by neutron capture on gadolinium. The analysis benefits from a doubling of the statistics of our previous result and from improvements of several important systematic uncertainties.

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Infection-related lipopolysaccharide (LPS) release causes cytokine storm and acute lung injury. Emerging data show that the interleukin 6 (IL-6) inhibitor tocilizumab can improve lung damage in patients with sepsis. This study aimed to investigate the therapeutic effect of tocilizumab on acute lung injury in cirrhotic rats.

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  • Portal hypertension in liver cirrhosis causes severe complications, worsened by oxidative stress and gut dysbiosis; the study investigates the potential benefits of fructooligosaccharides, known for their antioxidant effects.
  • Sprague-Dawley rats with induced cirrhosis were treated with fructooligosaccharides for four weeks, resulting in decreased hepatic vascular resistance and oxidative stress markers, while showing no adverse effects on gut flora or overall locomotor function.
  • The findings suggest that fructooligosaccharides may improve vascular function in cirrhotic conditions by alleviating oxidative stress and gut microbiome imbalances.
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Background: Portal hypertension affects hepatic, splanchnic and portosystemic collateral systems. Although alcohol is a well-known risk factor for liver cirrhosis, it also affects vascular contractility. However, the relevant effects on portal hypertension have not been evaluated in non-alcoholic cirrhosis.

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Segmenting polyps from colonoscopy images is very important in clinical practice since it provides valuable information for colorectal cancer. However, polyp segmentation remains a challenging task as polyps have camouflage properties and vary greatly in size. Although many polyp segmentation methods have been recently proposed and produced remarkable results, most of them cannot yield stable results due to the lack of features with distinguishing properties and those with high-level semantic details.

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Background: In liver cirrhosis, chronic inflammation is associated with an increase in oxidative stress, and subsequently an increase in the concentration of oxidized low-density lipoprotein (ox-LDL). Ezetimibe is a lipid-lowering agent with anti-inflammation and anti-oxidative stress activities. This study aimed to investigate the effect of ezetimibe treatment on ox-LDL in cirrhotic rats.

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Nanoparticle (NP) characterization is essential because diverse shapes, sizes, and morphologies inevitably occur in as-synthesized NP mixtures, profoundly impacting their properties and applications. Currently, the only technique to concurrently determine these structural parameters is electron microscopy, but it is time-intensive and tedious. Here, we create a three-dimensional (3D) NP structural space to concurrently determine the purity, size, and shape of 1000 sets of as-synthesized Ag nanocubes mixtures containing interfering nanospheres and nanowires from their extinction spectra, attaining low predictive errors at 2.

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  • Recent advancements in Deep Neural Networks (DNNs) have significantly improved medical image segmentation, particularly in accurately identifying lesions.
  • The traditional weighted summation operation in DNNs is insufficient for capturing crucial spatial relationships in multi-modal images, which is necessary for effective segmentation.
  • The proposed Quaternion Cross-modality Spatial Learning (Q-CSL) method introduces quaternion representation and a novel convolution technique to better explore spatial information and fuse multi-modal data, achieving strong performance with minimal computational resources.
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Hepatic encephalopathy (HE) is one of the major complications of liver disease and significantly affects the quality of life (QOL) of patients. HE is common and frequently relapses in cirrhotic patients. The management of HE is supportive, and precipitating conditions should be eliminated.

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Tumor budding (TB) is a powerful prognostic factor in colorectal cancer (CRC). An internationally standardized method for its assessment (International Tumor Budding Consensus Conference [ITBCC] method) has been adopted by most CRC pathology protocols. This method requires that TB counts are reported by field area (0.

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Background: Emerging adults who endorse more positive psychotic-like experiences (PLEs; bizarre experiences, delusional ideations) may experience greater cannabis-related impairments in executive function. Negative and depressive PLEs are also associated with cannabis use, however, less is known about their relation to executive functioning. Here, we hypothesize that high positive PLEs and cannabis use are associated with worse performance on computerized versions of the Iowa Gambling Task (IGT) and the Card Sorting Task (CST); exploratory analyses are conducted with negative and depressive PLEs.

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Infectious aortitis is a rare disease process that presents with mortality varying from 60% to 90%, even with aggressive treatment. This is a case involving a 69-year-old male who initially presented for acute encephalopathy. The patient's past medical history included coronary disease status post coronary bypass graft, abdominal aortic aneurysm status post endograft repair, prurigo nodularis, Tangier's disease, type 2 diabetes mellitus, and stage 3b chronic kidney disease.

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  • MRI-based multi-modal brain tumor segmentation (MBTS) has gained interest due to the effectiveness of non-invasive imaging, but existing studies often struggle with limited data collection.
  • The authors introduce a novel quaternion mutual learning strategy (QMLS) that includes a voxel-wise lesion knowledge mutual learning mechanism and a quaternion multi-modal feature learning module, enhancing the model's ability to learn from sparse data.
  • QMLS significantly outperforms current methods in terms of performance and computational efficiency, making it a promising advancement for automatic brain tumor segmentation in clinical settings.
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Outer tropical cyclone rainbands (TCRs) are a concentrated region of heavy precipitation and hazardous weather within tropical cyclones (TCs). Outer TCRs pose considerable risk to human societies, but their origin remains unresolved. Here, we identify a total of 1029 outer TCRs at their formative stage from 95 TCs and present a large collection of radar observations in order to establish a robust foundation of the natural diversity of rainband origin.

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Background: Percutaneous glycerol rhizotomy (PGR) is a common, effective, and relatively safe treatment for trigeminal neuralgia that is refractory to medical management. Anastomotic skull base venous anatomy should be considered when delivering percutaneous agents.

Observations: The authors report an anastomotic connection, not previously described in the literature, between the bilateral pterygoid venous plexuses upon air injection during PGR with computed tomography (CT) guidance for trigeminal neuralgia.

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  • Pixels with location affinity (or "pixels of affinity") allow for improved semantic understanding in model computations, with techniques like group convolution and dilated convolution attempting to capitalize on this.
  • The proposed quaternion group convolution enhances group convolution by facilitating better communication between pixel affinities across channels, while the quaternion sawtooth wave-like dilated convolutions module (QS module) helps leverage pixel affinities both between and within layers.
  • The new method, known as the quaternion group dilated neural network (QGD-Net), effectively reduces model parameters and boosts precision in tasks like Dermoscopic Lesion Segmentation and shows promise in retinal vessel segmentation as well.
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  • Patch-level histological tissue classification is important for analyzing histological slides, but deep learning methods often face high costs for annotating data.
  • To tackle these challenges, the authors introduce an active learning framework called ICAL, which uses two novel techniques: Incorrectness Negative Pre-training (INP) and Category-wise Curriculum Querying (CCQ) to improve category performance balance.
  • Experimental results show that ICAL can deliver nearly the same performance as full supervision using less than 16% of the labeled data while outperforming existing active learning methods, especially in achieving balanced results across categories.
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Splenic injury is a potentially fatal injury if left undetected or untreated. Although most splenic injuries result from a traumatic event, it is important to consider if one's history (past or present) increases their risk for splenic injury (i.e.

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Background: Portal hypertension develops along with the progression of liver cirrhosis. Natriuretic peptides have been shown to reduce portal pressure but concomitantly activate the renin-angiotensin-aldosterone system (RAAS). Angiotensin receptor-neprilysin inhibitors (ARNIs) upregulate natriuretic peptides and avoid the adverse effects of RAAS activation.

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Recent years have witnessed a significant advancement in brain imaging techniques that offer a non-invasive approach to mapping the structure and function of the brain. Concurrently, generative artificial intelligence (AI) has experienced substantial growth, involving using existing data to create new content with a similar underlying pattern to real-world data. The integration of these two domains, generative AI in neuroimaging, presents a promising avenue for exploring various fields of brain imaging and brain network computing, particularly in the areas of extracting spatiotemporal brain features and reconstructing the topological connectivity of brain networks.

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Reactor neutrino experiments play a crucial role in advancing our knowledge of neutrinos. In this Letter, the evolution of the flux and spectrum as a function of the reactor isotopic content is reported in terms of the inverse-beta-decay yield at Daya Bay with 1958 days of data and improved systematic uncertainties. These measurements are compared with two signature model predictions: the Huber-Mueller model based on the conversion method and the SM2018 model based on the summation method.

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Mammary spindle cell proliferations (SCPs) encompass a wide range of lesions and can be challenging to accurately diagnose on core needle biopsies (CNBs). Most SCPs are excised for definitive diagnosis. In the era of minimally invasive therapy, some SCP may be followed conservatively.

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