We have discovered functionalized multiwalled carbon nanotubes with reduced protein-binding, cytotoxicity, and immune response the associated structure–activity relationships using in silico surface molecular diversity design, combinatorial library synthesis, multiple biological screenings. Our results demonstrated general utility of nanocombinatorial approach nanomedicine nanotoxicity research.

Combining chemotherapy and radiotherapy (chemoradiotherapy) has been widely applied in many clinical practices, showing promises enhancing therapeutic outcomes. Nontoxic nanocarriers that not only are able to deliver chemotherapeutics into tumors, but could also act as radiosensitizers enhance would thus be of great interest the development chemoradiotherapies. To achieve this aim, herein mesoporous tantalum oxide (mTa 2 O 5 ) nanoparticles with polyethylene glycol (PEG) modification...

Abstract Self-heating effect is a major limitation in achieving the full performance potential of high power GaN devices. In this work, we reported micro-trench structure fabricated on silicon substrate an AlGaN/GaN electron mobility transistor (HEMT) via deep reactive ion etching, which was subsequently filled with thermal conductive material, copper using electroplating process. From current-voltage characteristics, saturation drain current improved by approximately 17% due to efficient...

Utilizing solar energy for photocatalytic nitrogen fixation has been extensively regarded as a promising avenue towards renewable production. Two‐dimensional (2D) materials, renowned their unique structures and properties, have sparked remarkable advancements in the realm of environment sciences. In this review, we delve into recent pertaining to 2D materials solar‐driven fixation. This encompasses diverse array including metal carbides/nitrides (MXenes), transition dichalcogenides (TMDs or...

Excessive carbon dioxide (CO 2 ) emissions can lead to environmental problems, and the use of phase change absorbents for CO capture has received much attention due their excellent absorption desorption properties. Herein, a novel liquid–liquid absorbent consisting N‐aminoethylpiperazine (AEP), diethylene glycol dimethyl ether (DEGDME), H O is utilized. Under optimal conditions, capacity 1.23 mol ·mol −1 amine. The rich‐phase viscosity AEP/DEGDME/H solution only 6.2 mPa s , rich...

Humor understanding is an important and challenging research in natural language processing. As the popularity of pre-trained models (PLMs), some recent work makes preliminary attempts to adopt PLMs for humor recognition generation. However, these simple do not substantially answer question: whether are capable understanding? This paper first that systematically investigates ability PLMs. For this purpose, a comprehensive framework with three evaluation steps four tasks designed. We also...

Asymmetric transmission (AT) holds significant applications in controlling polarization and propagation directions of electromagnetic waves. In this paper, tilted rectangular nanohole (TRNH) arrays a square lattice are proposed to realize an AT effect. Numerical results show two modes the spectrum, they ascribed localized surface plasmon resonances around ends TRNH polaritons on golden film. properties strongly depend structural parameters, such as width, length, thickness, angle TRNH....

Novel graphene-oxide-reinforced silicone composites (GOSC) are prepared by in situ polymerization of silanes and low concentrations (<0.15 wt%) silylated GO (SGO). After modification, the distances SGO nanosheets successfully increased from 0.72 to 0.87 nm. Compared with GO, shows better dispersibility organic solvents as well remarkably enhanced decomposition temperature (T d improved 100 °C). covalently grafting onto resins via polymerization, obtained GOSC exhibits greatly thermal...

Prompt engineering, as an efficient and effective way to leverage Large Language Models (LLM), has drawn a lot of attention from the research community. The existing primarily emphasizes importance adapting prompts specific tasks, rather than LLMs. However, good prompt is not solely defined by its wording, but also binds nature LLM in question. In this work, we first quantitatively demonstrate that different should be adapted LLMs enhance their capabilities across various downstream tasks...

This study considers two asymmetric ports under international competition in which each country has a hub port and private manufacturer investigates strategic interactions between privatization emission tax policies. We emphasize the key role of relative market size countries show that choice game, is dominant strategy larger country, but it will be chosen by smaller only if its not so small. also coordination global taxes before choices can induce equilibrium game to globally optimal when...

With the increase of renewable energy penetration (REP) level in interconnected power grid, proportion grid-connected conventional synchronous generators reduces continuously, resulting decrease system inertia. The insufficient inertia brings challenges to frequency stability. Battery storage systems (BESSs), regarded as high-quality regulation resource, play an important role maintaining stability with high REP level. To configure proper BESSs regulation, a BESS configuration scheme (PCS)...

The driving performance and fuel economy of hybrid electric vehicle(HEV) largely depend on energy management strategy. principle power system for HEV is presented in this paper, strategies from the country abroad are reviewed, their advantages disadvantages also analyzed. paper concludes existing problems those strategies, looks forward to development trends Aiming at problem misbalance practical global optimization using traditional a new strategy based Pontryagin's Minimum Principle (PMP)...

Summary Aiming at the deficiency of optimal control energy management strategy, a model controller for hybrid electric vehicle (HEV) is constructed based on Kernel Fuzzy C‐means Clustering (KFCM) and multi‐neural network. Using strategy PMP, operational parameters four driving modes HEV extracted; data cluster corresponding to mode generated by clustering through KFCM method used as training samples feedforward neural Taking battery SOC, needed power speed inputs network, taking engine...

This paper studies numerical solutions for parameterized partial differential equations (P-PDEs) with deep learning (DL). P-PDEs arise in many important application areas and the computational cost using traditional schemes can be exorbitant, especially when parameters fall into a particular range underlying PDE is required to solved high accuracy. Recently, solving PDEs DL has become an emerging field. Existing works demonstrate great potentials of based approach speeding up PDEs. However,...

Multi-Label Text Classification (MLTC) is a fundamental task in the field of Natural Language Processing (NLP) that involves assignment multiple labels to given text. MLTC has gained significant importance and been widely applied various domains such as topic recognition, recommendation systems, sentiment analysis, information retrieval. However, traditional machine learning Deep neural network have not yet addressed certain issues, fact some documents are brief but large number how...

Automated code generation is a pivotal capability of large language models (LLMs). However, assessing this in real-world scenarios remains challenging. Previous methods focus more on low-level generation, such as model loading, instead generating high-level codes catering for tasks, image-to-text, text classification, various domains. Therefore, we construct AICoderEval, dataset focused tasks domains based HuggingFace, PyTorch, and TensorFlow, along with comprehensive metrics evaluation...