The ultrasensitive DNA methyltransferase (Dam MTase) assay is of high significance for biomedical research and clinical diagnosis because its profound effect on gene regulation. However, detection sensitivity still limited by shortcomings, including photobleaching weak signal intensities conventional fluorophores at low concentrations. Plasmonic nanostructures with ultrastrong electromagnetic fields fluorescence enhancement capability that can overcome these intrinsic defects hold great...

Developing an endogenous stimuli-responsive and ultrasensitive DNA sensing platform that contains a logic gate biocomputation for precise cell subtype identification holds great potential disease diagnosis prognostic estimation. Herein, fluorescence-enhanced "OR-AND" dual-driven by intracellular apurinic/apyrimidinic endonuclease 1 (APE 1) or strand anchored on membrane protein Mucin (MUC sensitive accurate was rationally designed. The recognition toehold of the traditional activated probe...

Reasonable bus timetable can reduce the operating costs of company and improve quality services. A data-driven method is proposed to optimize in this study. Firstly, a bi-objective optimization model constructed considering minimize total waiting time passengers departure times company. Then, Global Positioning System (GPS) trajectories buses passenger information collected from Smart Card are fused applied calculate key parameters or variables model, including time-dependent travel time,...

Dynamic workflow scheduling (DWS) is a challenging and important optimization problem in cloud computing, aiming to execute multiple heterogeneous workflows on dynamically leased virtual machine resources satisfy user-defined Quality of Service requirements. For the popular deadline-constrained DWS problem, selection rule (VMSR) task (TSR) need be designed simultaneously minimize rental fee deadline violation penalty. this purpose, Dual-Tree Genetic Programming (DTGP) has been previously...

This article brings to fore long-standing intricacies and dilemmas in Brazil's China's international positioning. It reveals the complex discursive repertoires shaping Brazilian Chinese sense of Self world, Global South, and, more particularly, relation Africa. engages with concept "liminality" highlight how constructing South–South relationships invoking Southern identities have been ambiguous, indeterminate—thus liminal—endeavors these countries' affairs. By dissecting their diplomatic...

Speleothem fluid inclusion isotope analysis provides the oxygen and hydrogen compositions of parent water from which carbonate was precipitated. In contrast to isotopes, it is not affected by kinetic effects or cave air temperature. However, in-cave evaporation has been identified as a potential control on drip isotopes if rates are slow relative humidity in low.Rainfall generally plot close global meteoric line (GMWL) d2Hversus d18O that can be described following regression equation: d2H =...

Genetic Programming Hyper-heuristics (GPHH) have been successfully used to evolve scheduling rules for Dynamic Workflow Scheduling (DWS) as well other challenging combinatorial optimization problems. The method of sampling training instances has a significant impact on the generalization ability GPHH, yet they are rarely addressed in existing research. This article aims fill this gap by proposing GPHH algorithm with strategy thoroughly investigate six instance strategies algorithmic...

Dementia is a progressive neurodegenerative condition, while metabolic syndrome (MetS) characterized by combination of abnormalities such as hypertension, high blood sugar, and obesity. There exists connection overlap between the two conditions in certain aspects, both are influenced to varying degrees process aging. This study presents an overview current research landscape regarding dementia MetS through bibliometric analysis.

Workflow with different patterns and sizes arrive at a cloud data center dynamically to be processed virtual machines in the center, aim minimize overall cost makespan while satisfying Service Level Agreement (SLA) requirement. To efficiently schedule workflows, manually designed heuristics are proposed literature. However, it is time consuming design heuristics. The may not work effectively for heterogeneous workflow since only simple problem related factors considered Further, most of...

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People face lots of challenges when working from home (WFH). In this paper, we used both LDA (Latent Dirichlet Allocation) topic modeling and qualitative analysis to analyse WFH related posts on Weibo (N=1093) Twitter (N=907) during COVID-19. We highlighted unique differences between two platforms, including long work time, family food commitment health concerns Weibo; casual wearing habits Twitter. then provided possible guidelines a cross-cultural perspective how improve the experience...

During the COVID-19 epidemic in China, millions of workers tech companies had to start working from home (WFH). The change was sudden, unexpected and were not ready for it. Additionally, it also first time that WFH experienced on such a large scale. We used opportunity describe effect at scale sustained period time. As lockdown easing, we conducted semi-structured interviews with 12 participants China companies. While first, reported as pleasant experience advantages, e.g. flexible schedule,...

Alcohol consumption has been shown to influence cardiovascular mechanisms in humans, leading observable alterations the plasma metabolomic profile. Regression models are commonly employed investigate these effects, treating metabolomics features as outcomes and alcohol intake exposure. Given latent dependence structure among numerous (e.g., co-expression networks with interconnected modules), modeling this is crucial for accurately identifying associated intake. However, integrating...

LMMs have shown impressive visual understanding capabilities, with the potential to be applied in agents, which demand strong reasoning and planning abilities. Nevertheless, existing benchmarks mostly assess their abilities language part, where chain-of-thought is entirely composed of text.We consider scenario signals are continuously updated required along decision making process. Such vision-in-the-chain paradigm more aligned needs multimodal while being rarely evaluated. In this paper, we...