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关键词： Domain-specific physical activity   Mortality   Regular leisure-time physical activity   Rehabilitation   Sedentary behavior   Weekend warrior   CAD   coronary artery disease   CVD   cardiovascular disease   DM   diabetes   HR   hazard ratio   KM   Kaplan-Meier   LTPA   leisure-time PA   NHANES   National Health and Nutrition Examination Survey   OPA   occupation-related PA   PA   physical activity   PCI   percutaneous coronary intervention   PIR   income-to-poverty ratio   RCS   restricted cubic splines   TPA   transportation-related PA  

摘要： To assess the associations between domain-specific physical activity (occupation-related physical activity; transportation-related physical activity; leisure-time physical activity) and sedentary behavior and mortality among participants with chest pain.

关键词： Sparse matrices   Hardware acceleration on edge   Gain cell   GC-eDRAM   CAM   Multi-port   Sparse matrix multiplication  

摘要： Sparse General matrix multiplication (SpGEMM) is a fundamental kernel in many scientific and engineering fields, including Artificial Intelligence (AI). However, its intrinsic computation complexity presents substantial challenges, making efficient hardware implementation particularly difficult. This paper proposes SPARCAM, a novel SpGEMM accelerator, developed and optimized for very energy-efficient AI edge applications. SPARCAM is designed using low-power dense Gain Cell embedded DRAM (GC-eDRAM) technology, a processing near memory paradigm, and a modified outer product matrix multiplication algorithm. Despite its quite limited peak theoretical performance, SPARCAM achieves very high energy efficiency due to its low-power architecture and almost 100% utilization of its computing resources. Designed in a commercial 28 nm FDSOI technology, SPARCAM achieves $13.9\times$ speedup over a high-performance embedded CPU when processing large-scale sparse matrices. When multiplying limited-size sparse matrices, SPARCAM obtains $193\times$ speedup over high-performance GPU. SPARCAM reaches about 4.3 orders-of-magnitude, on average, higher energy benefits, and $1892\times$, $181\times$, $2\times$, and $3471\times$, higher energy efficiency (over CPU) compared with state-of-the-art SpGEMM accelerators SpArch, OuterSPACE, MatRaptor, and high-performance GPU, respectively.

摘要： We would like to thank the author(s) of the letter, “Comment on ‘Clinical behaviour and complications of CAD-CAM subperiosteal implants supporting fixed partial restorations: a scoping review,’” for carefully reading our work and for their constru...

摘要： Clinical photograph showing unilateral facial oedema in the left zygomatic region, consistent with a delayed, non-suppurative inflammatory episode occurring 6 months after placement of a custom-made subperiosteal implant. We read with great intere...

关键词： PiM   Commodity DRAM   PuM   CAM   Genome classification  

摘要： Processing using memory (PuM) leverages analog properties of memory infrastructure to implement logic and arithmetic operations. Commodity Off-The-Shelf (COTS) DRAM is particularly attractive for PuM because it requires no device modification, thereby preserving the ubiquity, availability, and cost advantages of modern DRAM while enabling massive column-level parallelism. We propose CADM (Content-Addressable DRAM), that enables exact and approximate (similarity) search in- and using- unmodified COTS DRAM. CADM targets genome classification, which is one of the most important applications in bioinformatics. Specifically, rapid and accurate detection of bacterial pathogens is critical for effective clinical decision-making, particularly in life-threatening conditions such as sepsis, where early identification of the causative agent significantly improves patient outcomes. We implement CADM in commercial DDR4 and show that it can achieve up to 185$\times$ higher throughput and 73$\times$ energy savings compared to CPU-run state-of-the-art classifier Kraken2. Using approximate search, CADM can achieve 9$\times$ higher $F_1$ score when matching relatively short ($<$32 DNA bases) ambiguous and erroneous $k$-mers.

关键词： Erythrosine   Nanoemulsion   Low-energy method   Photodynamic therapy   HET-CAM  

摘要： Erythrosine, a naturally derived dye, is extensively employed in the food and pharmaceutical industries; however, its low stability in aqueous media limits broader technological applications. Therefore, the development of erythrosine-loaded nanoemulsions has emerged as a strategy to overcome this limitation. This study aimed to develop and characterize erythrosine-loaded nanoemulsions, as well as to evaluate their ex vivo biocompatibility and performance. Nanoemulsions were formulated using different surfactants, and the formation region was analyzed using a pseudo-ternary phase diagram. Physicochemical, structural, and photophysical characterizations were performed, along with an evaluation of the erythrosine release profile. The nanoemulsion was developed using a low-energy method with erythrosine incorporated into the organic phase and a high association rate. The formulation remained stable for 90 days under various environmental conditions, with an estimated shelf life of 2.4 months. Morphological characterization confirmed the formation of homogeneous nanoemulsions. To optimize the application, the formulation was gelled using 23% Pluronic® F-127. Rheological and texture analyses showed results consistent with nanostructured materials described in the literature. The release profile of erythrosine from the gelled nanoemulsion exhibited sustained release following Higuchi kinetics, a characteristic model for gel-based release systems. The HET-CAM assay indicated a biocompatible range and supported further investigation of the nanoemulsion system in antiangiogenic studies. These findings highlight nanoemulsions as a promising strategy to enhance the technological application of erythrosine.

关键词： Biocompatibility   Cytotoxicity   Dental composite   Thermocycling  

摘要：

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  Biological traits of light-cured, CAD/CAM milled, and 3D printed dental composites differ in monomer release and biocompatibility.
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  Thermocycling aging reduced cytocompatibility and increased inflammation and oxidative stress in tested dental materials.
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  Light-cured composite showed the highest variation in biological properties, especially after extended aging.
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  3D printed composite maintained the most stable and favorable biological profile throughout all aging periods.

关键词： AI agents   CAD   Conceptual design   Large language model   Layout generation  

摘要： We introduce a novel approach for designing 3D scene layouts, focusing on a reason-driven generation from text to conceptual design. Our Iterated Design System (IDS) offers a hierarchical structure that incorporates both geometric and semantic information in the scene, reflecting the intricate process of human design reasoning. We leverage Large Language Models (LLMs) to break down the complex task of conceptual design into more manageable components, mirroring human cognitive methods. Additionally, we propose an LLM-in-the-loop optimization strategy to resolve conflicting constraint challenges which often emerge in traditional geometric layout optimization. Once the traditional algorithm detects and suggests solutions for conflicts, the LLM interprets the semantics of these solutions within the design context to make the best decision. Experimental findings highlight our framework’s capability to create satisfactory and complex scene layouts across various scene categories.

关键词： CAD/CAM   Ceramic material   Fretting wear   Interproximal contact loss   Interproximal enamel   Sliding wear  

摘要： This study investigated the fretting and sliding wear behavior of interproximal enamel (IE) against four CAD/CAM ceramic materials including polymer-infiltrated ceramic network (PICN), lithium disilicate (LS), zirconia-reinforced lithium silicate (ZLS), and monolithic zirconia (MZ) were evaluated.

关键词： Coronary inflammation   Vulnerable plaque   Cardiac events   Systemic inflammation   Atherosclerosis   Coronary artery disease   ACS   Acute coronary syndromes   CAD   Coronary artery disease   CCTA   Coronary computed tomography angiography   CV   Cardiovascular   GLP-1 RA   Glucagon-like peptide-1 receptor agonist   hsCRP   High-sensitivity C-reactive protein   IL-1β   Interleukin-1 beta   IL-6   Interleukin-6   NIRF   Near-infrared fluorescence   OCT   Optical coherence tomography   PCSK9i   Proprotein convertase subtilisin/kexin type 9 inhibitor   PET   Positron emission tomography   SGLT2i   Sodium–glucose cotransporter-2 inhibitor  

摘要： Coronary inflammation is now widely recognized as a key driver of atherosclerotic plaque initiation, progression, and destabilization. Histopathological studies and advanced imaging have demonstrated the central role of local inflammation, including extensive macrophage infiltration, cytokine activation, and perivascular adipose tissue, in promoting plaque vulnerability and acute coronary syndromes. Among systemic biomarkers, high-sensitivity C-reactive protein remains the most widely used, although its limited specificity underscores the need for more targeted inflammatory markers such as interleukin-6. Invasive intracoronary imaging with optical coherence tomography can visualize macrophage accumulation and quantify local inflammatory burden. Hybrid molecular imaging with OCT-NIRF, novel PET tracers and peri-coronary adipose tissue attenuation can provide emerging opportunities to further characterize vascular inflammation and residual risk. Anti-inflammatory therapies represent a major opportunity to improve outcomes beyond lipid lowering. Among patients with coronary artery disease, the use of colchicine has demonstrated significant risk reduction in adverse events, though with mixed results. Important randomized trials are underway to investigate the efficacy of novel monoclonal antibodies targeting interleukin pathways. In addition, GLP-1 receptor agonists, SGLT2 inhibitors, and PCSK9 inhibitors have been described to exhibit favourable vascular anti-inflammatory effects in experimental and in-vivo studies. In this comprehensive review, we provide an updated reappraisal of the available evidence unravelling how accurate identification of high-risk patients through multimodal imaging and biomarker profiling, combined with selective anti-inflammatory therapy, can represent a promising strategy for further reducing residual cardiovascular risk.