Peng Cheng

• The University of Sheffield

Text-to-image models based on diffusion processes, such as DALL-E, Stable Diffusion, and Midjourney, are capable of transforming texts into detailed images and have widespread applications in art and design. As such, amateur users can easily imitate professional-level paintings by collecting an artist's work and fine-tuning the model, leading to co...

Developing new materials for anhydrous proton conduction under high‐temperature conditions is very challenging but significant for proton exchange membrane fuel cells. Herein, a series of highly crystalline and robust covalent–organic frameworks (COFs) with different skeletons (2D and 3D) is designed and synthesized using steric hindrance engineeri...

The arrangement of donor–acceptor (D–A) components in order at a molecular level provides a means to achieve efficient electron‐hole separation for promoting the activity of photocatalysts. Herein, we report the coordination assembly of D–A molecules with desired staggered energy levels in two isostructural metal‐organic frameworks (MOFs) 1 and 2,...

The arrangement of donor–acceptor (D–A) components in order at a molecular level provides a means to achieve efficient electron‐hole separation for promoting the activity of photocatalysts. Herein, we report the coordination assembly of D–A molecules with desired staggered energy levels in two isostructural metal‐organic frameworks (MOFs) 1 and 2 ,...

Two or more catalysts conducting multistep reactions in the same reactor, concurrent tandem catalysis, could enable (bio)pharmaceutical and fine chemical manufacturing to become much more sustainable. Herein we report that co-immobilization of metal nanoparticles and a biocatalytic system within a synthetic covalent organic framework capsule, COFca...

Localized surface plasmon resonance (LSPR) metals exhibit remarkable light‐absorbing property and unique catalytic activity, attracting significant attention in photocatalysts recently. However, the practical application of plasmonic nanometal is hindered by challenge of energetic electrons extraction and low selectivity. The energetic carriers gen...

Localized surface plasmon resonance (LSPR) metals exhibit remarkable light‐absorbing property and unique catalytic activity, attracting significant attention in photocatalysts recently. However, the practical application of plasmonic nanometal is hindered by challenge of energetic electrons extraction and low selectivity. The energetic carriers gen...

Designing and synthesizing crystalline porous thermosetting polymers (CPTPs) with ordered porous structures remains a significant challenge. Herein, we create a strategy to prepare CPTPs by synthesizing covalent organic framework (COF) monoliths using the solvent-free flux synthesis method. An olefin-linked COF with an ultramicroporous structure is...

With the rapid development of Connected and Autonomous Vehicles, In-Vehicle Network attacks have garnered heightened research scrutiny due to vehicles' increasing connectivities to the external environment. The common characteristic among these attacks is to tamper with targeted powertrain-related signals in the Powertrain Controller Area Network (...

Despite significantly enhancing system flexibility and reliability, the adoption of distributed secondary control in DC microgrids (DCmGs) introduces new vulnerabilities to false data injection (FDI) attacks. As a typical FDI attack, the zero trace stealthy (ZTS) attack has been recently disclosed for DCmGs, which can deteriorate the control object...

4-Nitrophenol (4-NP) is a common stuff involved in industrial production as well as a toxic pollutant which poses a threat to the environment and human health if not handled properly....

TCP ensures reliable transmission through its stateful implementation and remains crucial today. TCP performance profiling is essential for tasks like diagnosing network performance problems, optimizing transmission performance, and developing new TCP variants, etc. Existing profiling methods lack enough attention to TCP state transition to provide...

Pyrethroids are synthetic products derived from natural pyrethroids present in flowers and are extensively used as pesticides for agriculture, animal husbandry, and household pest control. However, excessive and prolonged usage of pyrethroid insecticides can result in adverse effects on both non-target and target species. Therefore, effective techn...

Aqueous proton batteries are attracting increasing attention in the large‐scale next‐generation energy storage field. However, the electrode materials for proton batteries often suffer from low specific capacity and unsatisfactory cycle durability. Herein, we synthesize two highly crystalline and robust polyimide covalent organic frameworks (COFs)...

Aqueous proton batteries are attracting increasing attention in the large‐scale next‐generation energy storage field. However, the electrode materials for proton batteries often suffer from low specific capacity and unsatisfactory cycle durability. Herein, we synthesize two highly crystalline and robust polyimide covalent organic frameworks (COFs)...

Federated learning (FL) has emerged as a privacy-aware collaborative learning paradigm where participants jointly train a powerful model without sharing their private data. One desirable property for FL is the implementation of the right to be forgotten (RTBF) , i.e., a leaving participant has the right to request the deletion of its private data...

The local charge distribution of photocatalyst is crucial to the catalytic activity due to its influence on the charge separation process. Herein, we report two one‐dimensional Ni‐based metal‐organic assemblies for efficient photocatalytic hydrogen evolution without using noble‐metal cocatalysts. By adjusting the aromatic ring in the center of the...

As the implementation of machine learning (ML) systems becomes more widespread, especially with the introduction of larger ML models, we perceive a spring demand for massive data. However, it inevitably causes infringement and misuse problems with the data, such as using unauthorized online artworks or face images to train ML models. To address thi...

Purifying methane (CH4) from natural gas and coal mine methane (CMM) is of great significance but challenging in the chemical industry. Herein, a robust ultramicroporous metal‐organic framework (MOF) is reported, which can be synthesized on a gram scale by stirring under room temperature. Single‐component adsorption isotherms of gases (CH4, ethane...

Due to almost identical boiling points of benzene and cyclohexane, the extraction of trace benzene from cyclohexane is currently performed via the energy-intensive extractive distillation method. Their adsorptive separation by porous materials is hampered by their similar dimensions. Metal-organic frameworks (MOFs) with versatile pore environments...

Iron‐based catalysts play an important role in the ammonia industry. As one of the most abundant iron minerals, Fe3O4 containing FeII and FeIII sites is widely distributed in the earth's crust and even on exoplanets, theoretically giving it both economic and catalytic potentials in ammonia synthesis. However, in the absence of specific active co‐ca...

Due to the vast testing space, the increasing demand for effective and efficient testing of deep neural networks (DNNs) has led to the development of various DNN test case prioritization techniques. However, the fact that DNNs can deliver high-confidence predictions for incorrectly predicted examples, known as the over-confidence problem, causes th...

Vector-borne diseases leave a large footprint on global health. Notable culprits include West Nile virus (WNV), St. Louis encephalitis virus (SLEV), and Japanese encephalitis virus (JEV), all transmitted by Culex mosquitoes. Chemical insecticides have been widely used to reduce the spread of mosquito-borne diseases. Still, mosquitoes are becoming m...

Security-constrained optimal power flow (SCOPF) aims to achieve an economical operation while considering the security issues during contingencies. Data-driven security assessment methods can provide security constraints for SCOPF and have been widely developed in the smart grid community to deal with the challenges arising from the increased penet...

Covalent organic frameworks (COFs) are crystalline porous polymers constructed from organic building blocks into ordered two- or three-dimensional networks through dynamic covalent bonds. Attributed to their high porosity, well-defined structure, tailored functionality and excellent chemical stability, COFs have been considered ideal sorbents for v...

The electrochemical carbon dioxide reduction reaction (eCO2RR) represents an effective means of achieving renewable energy storage and a supply of carbon-based raw materials. However, there are still great challenges in selectively producing specific hydrocarbon compounds. The unique ability of the copper (Cu) catalyst to promote proton-coupled ele...

The pursuit of molecule‐based magnetic memory materials contributes significantly to high‐density information storage research in the frame of the ongoing information technologies revolution. Remarkable progress has been achieved in both transition metal (TM) and lanthanide based single‐molecule magnets (SMMs). Notably, six‐coordinated CoII SMMs ho...

Iron‐based catalysts play an important role in the ammonia industry. As one of the most abundant iron minerals, Fe3O4 containing FeII and FeIII sites is widely distributed in the earth's crust and even on exoplanets, theoretically giving it both economic and catalytic potentials in ammonia synthesis. However, in the absence of specific active co‐ca...

The journal retracts the article “Inhibition of SDF-1α/CXCR4 Signalling in Subchondral Bone Attenuates Post-Traumatic Osteoarthritis” [...]

Background Culex tritaeniorhynchus is widely distributed in China, from Hainan Island in the south to Heilongjiang in the north, covering tropical, subtropical, and temperate climate zones. Culex tritaeniorhynchus carries 19 types of arboviruses. It is the main vector of the Japanese encephalitis virus (JEV), posing a serious threat to human health...

Objectives TANK-binding kinase 1 (TBK1) is pivotal in autoimmune and inflammatory diseases, yet its role in osteoarthritis (OA) remains elusive. This study sought to elucidate the effect of the TBK1 inhibitor BX795 on OA and to delineate the underlying mechanism by which it mitigates OA. Methods Interleukin-1 Beta (IL-1β) was utilized to simulate...

Inspired by the continued focuses on renewable energy cybersecurity issues, this paper aims to propose a cyber-resilient torque control framework for wind turbines to defend against the hybrid attack. The cyber threat model is established combining denial-of-service and data manipulation attacks, which attempts to destabilize the wind turbine syste...

Machine learning (ML) sees an increasing prevalence of being used in the internet-of-things (IoT)-based smart grid. However, the trustworthiness of ML is a severe issue that must be addressed to accommodate the trend of ML-based smart grid applications (MLsgAPPs). The adversarial distortion injected into the power signal will greatly affect the sys...

Effective combination of the photosensitivity and photothermal property in photocatalyst is vital to achieve the maximum light utilization for superior photocatalytic efficiency. Herein, this work successfully organizes photosensitive Cd‐NS single‐sites and photothermal Ni‐NS single‐sites uniformly at a molecular level within a tailored trimetallic...

Solar‐thermal water evaporation is a promising strategy for clean water production, which needs the development of solar‐thermal conversion materials with both high efficiency and high stability. Herein, we reported an ultra‐stable cobalt(II)‐organic assembly NKU‐123 with light‐generated radicals, exhibiting superior photothermal conversion efficie...

Vertical federated learning (VFL) revolutionizes privacy-preserved collaboration for small businesses, that have distinct but complementary feature sets. However, as the scope of VFL expands, the constant entering and leaving of participants, as well as the subsequent exercise of the “right to be forgotten” pose a great challenge in practice. The q...

Solar‐thermal water evaporation is a promising strategy for clean water production, which need the development of solar‐thermal conversion materials with both high efficiency and high stability. Herein, we reported an ultra‐stable cobalt(II)‐organic assembly NKU‐123 with light‐generated radicals, exhibiting superior photothermal conversion efficien...

Despite advances in surgery and chemotherapy, the survival of patients with osteosarcoma (OS) has not been fundamentally improved over the last two decades. Microvesicles (MVs) have a high cargo-loading capacity and are emerging as a promising drug delivery nanoplatform. The aim of this study was to develop MVs as specifically designed vehicles to...

The rapid development of information and communications technology has enabled the use of digital-controlled and software-driven distributed energy resources (DERs) to improve the flexibility and efficiency of power supply, and support grid operations. However, this evolution also exposes geographically-dispersed DERs to cyber threats, including ha...

Osteoarthritis (OA) is a widespread joint disease, yet there are limited effective treatment strategies that preserve articular cartilage and mitigate damage to other joint elements. The role of inflammation is crucial, driving cartilage degeneration and synovitis in OA. While photothermal therapy (PTT) has shown promise in cancer and antibacterial...

Fixation of CO2 into dihydroisobenzofuran derivatives has enormous applications in both production of natural products and antidepressant drugs, and reducing the green-house effect. However, the relatively complicated multi-step processes limit the further expansion of such a valuable CO2 conversion strategy. Herein, we hierarchically modify the su...

Stealthy attacks manipulate the operation of Industrial Control Systems (ICSs) without being undetected, allowing persistent manipulation of system operation and thus the potential to cause destructive damage. This paper introduces a new vulnerability of ICS that can be exploited to mount stealthy attacks without requiring any domain knowledge. Thi...

The colorimetric visual detection of fluoride ions in river was realized through weak double dynamic interactions between mixed lanthanide-organic framework and fluoride ions.

The widespread use of programmable logic controllers (PLCs) in critical infrastructures has given rise to escalating cybersecurity concerns regarding PLC attacks. As a proactive defense mechanism, PLC honeypots emulate genuine controllers to engage adversaries so as to observe their attack tactics and techniques. As part of the arms race between th...

The security risk of semantic attacks to Industrial Control Systems (ICSs) is increasing. Semantic attacks manipulate targeted system modules by identifying the physical semantics of variables in Programmable Logic Controllers (PLCs) programs, i.e., the sensing/actuating modules represented by the variables, which is usually and inefficiently achie...

A family of MOF-based bimetallic electrocatalysts MxNi1-x-NKU-100 (M = Mn, Fe, Co, Cu, Zn) are synthesized for hydrogen evolution reaction (HER). The modulcation of the bimetallic centers signeficantly influence the...

The rapid and accurate sensing of p‐xylene, an essential raw material with a multi‐billion‐dollar market, in xylene mixture is of great significance in industry; however, the highly similar molecular structures, energy levels, and spectral characteristics of xylene isomers make the selective recognition extremely challenging. Metal–organic framewor...

Carbon dioxide (CO 2 ) is an important substance in the natural carbon cycle, and the gradual increase of CO 2 emissions has exceeded the amount that can be absorbed by the nature, which has brought a huge impact on climate conditions and ecological environment. In addition, CO 2 is an important C1 resource, and it is of great significance to conve...

Recommender systems predict and suggest relevant options to users in various domains, such as e-commerce, streaming services, and social media. Recently, deep reinforcement learning (DRL)-based recommendation systems have become increasingly popular in academics and industry since DRL can characterize the long-term interaction between the system an...

The rapid and accurate sensing of p‐xylene, an essential raw material with a multi‐billion‐dollar market, in xylene mixture is of great significance in industry; however, the highly similar molecular structures, energy levels, and spectral characteristics of xylene isomers make the selective recognition extremely challenging. Metal‐organic framewor...

Photo-controlled magnetic properties are fundamental for the applications of molecular magnets, which has the features of high time and space resolution; however, such magnetic properties are highly challenging to be...

Two new Zn(ii) metal–organic frameworks (MOFs), namely [Zn2(bptc)(DMF)2(H2O)]·4H2O (1) and [Zn2(bptc)(azpy)(H2O)2]·2H2O (2) (H4bptc = 3,3′,5,5′-biphenyltetracarboxylic acid, azpy = 4,4′-azopyridine), were synthesized through a solvothermal reaction. The incorporation of the redox-active ancillary ligand azpy endows 2 with electrochemical activity,...

This paper considers a novel co-design problem of the optimal sequential attack, whose attack strategy changes with the time series, and in which the sequential attack selection strategy and sequential attack signal are simultaneously designed. Different from the existing attack design works that separately focus on attack subsets or attack signals...

The development of fast-response sensors for detecting NH3 at room temperature remains a formidable challenge. Here, to address this challenge, two highly robust Hoffmann-type metal-organic frameworks are rationally applied as the NH3 sensing materials which possess ultra-high static adsorption capacity for NH3, only lower than the current benchmar...

Smart grid is confronted with cyberattacks due to the increasing dependence on cyberspace. False data injection attacks (FDIAs) represent a major type of cyberattacks that cannot be detected by the traditional bad data detection (BDD). The majority of existing researches focus on how to detect FDIAs, while little attention has been paid to obtainin...

Accommodating target analytes within the pores of metal-organic frameworks (MOFs) to improve the sensing performance is an important but challenging task. Here, we report a novel molecular imprinting strategy to create target recognition sites in a tailored multicomponent MOF with the inter-ligand synergistic antenna effect to lanthanide ions, enab...

The electronic state in terms of charge and spin of metal sites is fundamental to govern the catalytic activity of a photocatalyst. Herein, we show that modulation of the electronic states of Cu sites, without changing the coordination environments, of two metal‐organic supramolecular assemblies based on π⋅⋅⋅π stacking can significantly improve pho...

The electronic state in terms of charge and spin of metal site is fundamental to govern the catalytic activity of photocatalyst. Herein, we show that the modulation of electronic states of Cu sites without changing the coordination environments of two metal‐organic supramolecular assemblies only based on π⋅⋅⋅π stacking can significantly improve the...

Four benzeneboron‐capped mononuclear CoII complexes with different alkyl substitutions on the fourth position of phenylboronic acid were obtained. The CoII ions are all wrapped by the pocket‐like ligands and located in trigonal prismatic coordination geometries. Alternating‐current magnetic susceptibility measurements reveal that they show differen...

Enantioselective sensing is highly crucial and challenging due to the highly similar physical/chemical properties of enantiomers which may have different chemical impact on organism. Luminescent coordination compounds have attracted great attention as sensing materials based on their controllable chemical and electric structures that can be highly...

Data is a critical asset in AI, as high-quality datasets can significantly improve the performance of machine learning models. In safety-critical domains such as autonomous vehicles, offline deep reinforcement learning (offline DRL) is frequently used to train models on pre-collected datasets, as opposed to training these models by interacting with...

Distributed classification learning (DCL) is a promising solution to establish IoT-based smart applications, especially due to its strong ability in dealing with large-scale and high-concurrency data. However, the performance of DCL may be seriously affected by the label flipping attack (LFA). Regarding the LFA-resilient learning problem, most exis...

Osteoarthritis (OA) is a chronic progressive articular illness which commonly affects older‑aged adults, presenting with cartilage inflammation and degradation. Rutaecarpine (RUT) has been shown to exert promising anti‑inflammatory effects; however, the efficacy of RUT in the treatment of OA is debatable. The present study investigated the potential...

The machine learning (ML) sees an increasing prevalence of being used in the internet-of-things enabled smart grid. However, the trustworthiness of ML is a severe issue that must be addressed to accommodate the trend of ML-based smart grid applications (MLsgAPPs). The adversarial distortion injected into the power signal will greatly affect the sys...

Background Mosquito-borne diseases, including outbreaks of novel mosquito-borne diseases, pose a serious threat to human health. Deployment of the intracellular symbiont Wolbachia has been proposed as a novel strategy to modify mosquitoes with increased resistance to pathogen infection. However, little is known about its interaction with mitochondr...

Osteoarthritis (OA) is a common degenerative joint disease urgently needing effective treatments. Bone marrow mesenchymal stromal cell-derived exosomes (Exo) are considered good drug carriers whereas they have limitations such as fast clearance and low retention. This study aimed to overcome the limitations of Exo in drug delivery using multiple st...