bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reliable Finite‐Time Control for Nonlinear Chaotic Semi‐Markov Jump Systems With Incomplete Transition Rates
Authors: Abinandhitha R. , Sakthivel R. , Tatar N. , Ren Yong 
Published: October 2024

ABSTRACTThis article studies the finite‐time control problem for a class of nonlinear chaotic semi‐Markov jump systems with incomplete transition rates described by the T‐S fuzzy model approach. As a means to depict the dynamical properties pertaining to the examined system, parametric uncertainties, faults, external disturbances and input saturation are taken into consideration. The foremost objective of this study is to come up with a composite control mechanism that effectively rejects and attenuates the repercussions of faults and disturbances. In particular, we primarily built a disturbance observer in order to obtain a precise estimation of the external disturbances. After which, the fault diagnosis observer is designated to effectively estimate the faults. Specifically, a composite reliable control mechanism is developed by fusing the output of the constructed observers with the mode‐dependent fuzzy‐rule based state feedback controller. By employing suitable Lyapunov functions in conjunction with the linear matrix inequality technique, a set of mode‐dependent conditions is derived to ensure the finite‐time stochastic boundedness of the underlying closed‐loop and estimation error systems. Following this, the anticipated controller and observer gain matrices are elicited by resolving the established linear matrix inequalities. Thereafter, intending to ascertain the efficacy and usefulness of accrued theoretical findings, simulation results performed on Chua's circuit system is endowed.
Security Enhancement Scheduling Model for IoT‐Based Smart Cities Through Machine Learning Method
Authors: Dwivedi Anuj Kumar , Prasad Sanjeev Kumar 
Published: October 2024

ABSTRACTThe Internet of Things (IoT) is rapidly evolving, and this has supported the adoption of a new computing paradigm that moves processing power to the network's edge. The job must be assigned to the computer nodes, where their associated data is available, to minimize overheads generated by data transmissions in the network, because the edge nodes have limited processing power and are vulnerable to security. Hence, the paper introduces a novel security‐enhanced scheduling model for IoT‐based smart cities utilizing machine learning techniques. Initially, nodes are initialized using the LHK‐Means algorithm. Subsequently, tasks, representing requests from multiple users to access IoT data, are scheduled. Anomaly detection tasks are then identified using an L2‐Norm‐based fuzzy model. Normal tasks are processed by the BN‐CNN model, which schedules data collection tasks through the initialized IoT device nodes. Comparative analysis with existing models illustrates the effectiveness of the proposed approach in terms of accuracy, precision, recall, sensitivity, specificity, and f‐measure.
Assembly‐Glued Ligands and Warheads for Hypoxia‐Activatable Supramolecular Covalent Inhibitors
Authors: Hu Binbin , Qin Weida , Wang Yushi , Zhang Zeyu , Chen Ninglin , Wang Hongbo , Li Gongyu , Shi Yang , Yu Zhilin 
Published: October 2024

AbstractTargeted covalent inhibitors are promising for drug discovery and challenged by the strict structural features for target proteins to sustain proximity‐induced conjugations. Herein, an assembly‐glued strategy is reported to create surface‐displayed supramolecular covalent inhibitors that leverage the display‐induced proximity between noncovalent ligands and warheads. The ligand and warhead are obtained via attaching an epidermal growth factor receptor (EGFR)‐binding segment or nitroreductase (NTR)‐activated moiety to bola‐amphiphilic peptides, respectively. Co‐assembling the ligand and warhead with a filler peptide glues them and forms the surface‐displayed covalent inhibitor. While the ligand associates with EGFR, the warhead undergoes NTR‐induced cysteine conjugation facilitated by the ligand‐EGFR association. In vitro studies show the reliable hypoxia‐activated inhibition of EGFR phosphorylation and enhanced cytotoxicity of the covalent inhibitor under hypoxic condition. In addition, this strategy also allows for creating covalent inhibitors targeting proteins without small molecular covalent drugs, due to the display‐induced proximity between ligands and warheads. In vivo results illustrate the prolonged retention of the covalent inhibitor and its efficacy in inhibiting tumor growth. These findings demonstrate that simultaneous surface display of ligands and warheads via assembly adhesives allows for implementation of covalent inhibition functions, thus providing a new strategy for developing covalent inhibitors in the future.
Surface‐Functionalization of Oleate‐Capped Nano‐Emitters for Stable Dispersion in 3D‐Printable Polymers
Authors: Pathak Akhilesh Kumar , Kulkarni Sachin Prashant , Chan Rachel R. , Mirkin Chad A. , Aydin Koray , Krishnaswamy Sridhar 
Published: October 2024

AbstractTwo‐photon polymerization 3D‐printing is a well‐known technique for fabricating passive micro/nanoscale structures, such as microlenses and inversely designed polarization splitters. The integration of light emitting nanoparticle (NP) dopants, such as quantum dots (QDs) and rare‐earth doped nanoparticles (RENPs), into a polymer resist would enable 3D printing of active polymer micro‐photonic devices, including sensors, lasers, and solid‐state displays. Many NPs contain oleic acid ligands to prevent degradation, but oleate‐capped NPs (oc‐NPs) tend to agglomerate in nonpolar media despite the hydrophobicity of the ligand. This results in an uneven nanoparticle distribution and increased optical extinction. In this work, a general approach is proposed for dispersing oc‐NPs in commercial 3D printable polymers. Controlled growth of small carbon chains around the oc‐NPs is achieved by functionalizing them with methyl‐methacrylate monomers. The proposed approach is validated on RENPs (≈65 nm) and CdSe/ZnS quantum dots (≈12 nm) using commercial polymer resists (IP‐Dip and IP‐Visio). Dispersions of functionalized NPs (f‐NPs) have improved the NP density by an order of magnitude and are shown to be stable for several weeks with minimal impact on printing quality. The approach is generalizable to other oc‐NPs, enabling synthesis of functional resins for high‐quality polymer‐based optical and electronic devices.
Functional Ligand‐Modified Perovskite Quantum Dots for Stable Full‐Color Microarrays via Photopolymerization
Authors: Li Yawen , Alam Abid , Zhou Tao , Wang Canglong , Wang Yuhua , Li Tianrong 
Published: October 2024

AbstractIntegration of lead‐halide perovskite quantum dots (PQDs) into full‐color microarrays presents numerous advantages for full‐color micro‐LED displays. There is an urgent requirement for a new design approach that simplifies the creation of durable PQD/polymer composites to produce stable PQD microarrays. Here, mono‐2‐(methacryloyloxy)ethyl succinate (MMeS) is utilized as a functional ligand to synthesize green MMeS‐modified CsPbBr3 PQDs (M‐CPB PQDs). The subsequent photopolymerization of M‐CPB PQDs with 1,6‐hexanediol diacrylate (HDDA) forms a CsPbBr3 PQD/polymer composite. This composite exhibits a solid‐state photoluminescence quantum yield of 73.1%, and the photoluminescence intensity retains 72% of its original value after 17 days of continuous immersion in water. Stable green PQD/polymer microarrays can be printed using an ink containing M‐CPB PQDs, HDDA, diphenyl (2,4,6‐trimethylbenzoyl) phosphine oxide, and n‐dodecane via electrohydrodynamic jet printing and in situ polymerization under UV light irradiation. Full‐color patterns can also be generated with MMeS‐modified red, green, and blue PQDs. These findings highlight the critical role of functionalizing the surface ligands of PQDs to improve their processability, thereby facilitating the development of stable PQD/polymer microarrays.
A Programmable 2D/3D Anti‐Counterfeiting System via Shape Memory Polymer with Surface Wrinkle and Fluorescence
Authors: Ma Manping , Dong Shilong , Yuan Wenqiang , Ma Tianjiao , Xu Mengda , Jiang Xuesong , Li Jin 
Published: October 2024

AbstractThe issue of counterfeiting has always been a major challenge in today's society, putting forward high requirements for anti‐counterfeiting technology. Here, a promising 2D/3D anti‐counterfeiting security system is developed based on anthracene‐functionalized poly(styrene‐butadiene‐styrene) (SBS‐CAN), which possessed the physical unclonable self‐wrinkling patterns, fluorescence, and shape memory behavior. By controlling the dimerization of anthracene groups with ultraviolet light and external pre‐stretched operation, 2D information with surface wrinkle and fluorescence is achieved, allowing for the design of security systems based on actual needs. Furthermore, 3D structures constructed based on the shape memory behavior can further be utilized to encrypt these 2D information, enhancing the security level and weakening the cloneable risk of surface wrinkle and fluorescence for further. This programmable 2D/3D anti‐counterfeiting system has multiple advantages over the commonly used fluorescent wrinkled tag or fluorescent shape memory label, providing an intelligent choice for high‐security information carriers.
Precisely Regulating Photoactivated Dynamic Room Temperature Phosphorescence by Alkyl Chain‐Induced Lattice‐Softening
Authors: Zhang Bo‐Lun , Miao Lei , Song Wen‐Tao , Zhang Jian‐Jun , Chen Jun , Wang Ting , Zhang Wen‐Qi , Ni Jun , Zhao Zongbin 
Published: October 2024

AbstractDynamic response room temperature phosphorescence (RTP) is a hot topic in smart materials research due to its unique RTP‐response characteristics under external stimuli. However, its precisely control are currently challenging. Here, an alkyl chain‐induced lattice‐softening strategy is proposed to precisely regulate photoactivated dynamic RTP (PDRTP). By adjusting the alkyl chain flexibility of hybrid metal halide matrices, oxygen permeability can be adjusted, thereby achieving finely manipulate of the photoactivation equilibrium time, RTP lifetime, and RTP wavelength of the resulted host–guest doped materials within the ranges of 10–600 s, 0.05‐1.62 s, and 405–595 nm, respectively. It is also demonstrated the potential application of the PDRTP materials in afterglow oxygen sensing and multi‐level information encryption. This study not only proposes an effective method for regulating the photosensitivity of PDRTP materials, but also points out a new direction for exploring gas permeability in dense‐packed crystalline materials.
Organoids‐On‐a‐Chip for Personalized Precision Medicine
Authors: Man Yunqi , Liu Yanfei , Chen Qiwen , Zhang Zhirou , Li Mingfeng , Xu Lishang , Tan Yifu , Liu Zhenbao 
Published: October 2024

AbstractThe development of personalized precision medicine has become a pivotal focus in modern healthcare. Organoids‐on‐a‐Chip (OoCs), a groundbreaking fusion of organoid culture and microfluidic chip technology, has emerged as a promising approach to advancing patient‐specific treatment strategies. In this review, the diverse applications of OoCs are explored, particularly their pivotal role in personalized precision medicine, and their potential as a cutting‐edge technology is highlighted. By utilizing patient‐derived organoids, OoCs offer a pathway to optimize treatments, create precise disease models, investigate disease mechanisms, conduct drug screenings, and individualize therapeutic strategies. The emphasis is on the significance of this technological fusion in revolutionizing healthcare and improving patient outcomes. Furthermore, the transformative potential of personalized precision medicine, future prospects, and ongoing advancements in the field, with a focus on genomic medicine, multi‐omics integration, and ethical frameworks are discussed. The convergence of these innovations can empower patients, redefine treatment approaches, and shape the future of healthcare.
A Self‐Assembled Transdermal Nanomedicines Incorporating Pendant Disulfides for Non‐Invasive, Synergistic Treatment of Melanoma
Authors: Zhang Junjie , Peng Changkun , Liu Shuya , Lian Zhijie , Zhou Jie , Li Jingying , Yang Huanghao 
Published: October 2024

AbstractTransdermal drug delivery system (TDDS) offers lower systemic toxicity and good patient compliance, making it a promising treatment option for skin‐related cancers. However, physiological barriers in the skin frequently impede the therapeutic efficiency of TDDS. To address this, a unique self‐assembled TDDS that incorporates disulfide pendant groups (termed Sup‐TDDS) is presented. It is formulated with dithiolane‐containing lipoic acid (LA), photosensitizers Ce6, and chemotherapeutic agents trametinib. Pendant disulfide moieties on Sup‐TDDS facilitate thiol‐disulfide exchange reactions with exofacial thiols on cell surfaces, thus enhancing stratum corneum penetration. In contrast to intravenous injection, topical administration of Sup‐TDDS can penetrate deeper into the skin (> 500 µm) and promote drug accumulation in subcutaneous tumors. In a B16F10‐bearing mouse model, Sup‐TDDS treatment demonstrates significant anti‐tumor effects in primary and recurrent melanoma, benefiting from the synergistic effects of Ce6 and trametinib. These results underscore that Sup‐TDDS's transdermal properties allow non‐invasive melanoma therapy, implying the potential of nanodrugs containing pendant disulfides for transdermal treatment of skin illnesses.
NADPH Oxidases‐Inspired Reactive Oxygen Biocatalysts with Electron‐Rich Pt Sites to Potently Amplify Immune Checkpoint Blockade Therapy
Authors: Han Chuyi , Xiao Sutong , Xing Zhenyu , Xu Xiaohui , Wang Mao , Han Xianglong , Adeli Mohsen , Qiu Li , Ye Ling , Cheng Chong 
Published: October 2024

AbstractClinical immune checkpoint blockade (ICB)‐based immunotherapy of malignant tumors only elicits durable responses in a minority of patients, primarily due to the highly immunosuppressive tumor microenvironment. Although inducing immunogenic cell death (ICD) through reactive oxygen biocatalyst represents an attractive therapeutic strategy to amplify ICB, currently reported biocatalysts encounter insurmountable challenges in achieving high ROS‐generating activity to induce potent ICD. Here, inspired by the natural catalytic characteristics of NADPH oxidases, the design of efficient, robust, and electron‐rich Pt‐based redox centers on the non‐stoichiometric W18O49 substrates (Pt─WOx) to serve as bioinspired reactive oxygen biocatalysts to potently activate the ICD, which eventually enhance cancer immune responses and amplifies the ICB‐based immunotherapy is reported. These studies demonstrate that the Pt─WOx exhibits rapid electron transfer capability and can promote the formation of electron‐rich and low oxophilic Pt redox centers for superior reactive oxygen biocatalysis, which enables the Pt─WOx‐based inducers to trigger endoplasmic reticulum stress directly and stimulate immune responses potently for amplifying the anti‐PD‐L1‐based ICB therapy. This bioinspired design provides a straightforward strategy to engineer efficient, robust, and electron‐rich reactive oxygen biocatalysts and also opens up a new avenue to create efficient ICD inducers for primary/metastatic tumor treatments.
Defect Chemistry in High‐Voltage Cathode Materials for Lithium‐Ion Batteries
Authors: Mei Yu , Liu Junxiang , Cui Tony , Li Yujin , Liu Tongchao , Ji Xiaobo , Amine Khalil 
Published: October 2024

AbstractHigh‐voltage cathodes (HVCs) have emerged as a paramount role for the next‐generation high‐energy‐density lithium‐ion batteries (LIBs). However, the pursuit of HVCs comes with inherent challenges related to defective structures, which significantly impact the electrochemical performance of LIBs. The current obstacle lies in the lack of a comprehensive understanding of defects and their precise effects. This perspective aims to provide insights into defect chemistry for governing HVCs. The classifications, formation mechanisms, and evolution of defects are outlined to explore the intricate relationship between defects and electrochemical behavior. The pressing need for cutting‐edge characterization techniques that comprehensively investigate defects across various temporal and spatial scales is emphasized. Building on these fundamental understandings, engineering strategies such as composition tailoring, morphology design, interface modification, and structural control to mitigate or utilize defects are thoroughly discussed for enhanced HVCs performance. These insights are expected to provide vital guidelines for developing high‐performance HVCs for next‐generation high‐energy lithium‐ion batteries.
Embedding Reverse Electron Transfer Between Stably Bare Cu Nanoparticles and Cation‐Vacancy CuWO4
Authors: Wang Xiyang , Li Zhen , Li Xinbo , Gao Chuan , Pu Yinghui , Zhong Xia , Qian Jingyu , Zeng Minli , Chu Xuefeng , Chen Zuolong , Redshaw Carl , Zhou Hua , Sun Chengjun , Regier Tom , King Graham , Dynes James J. , Zhang Bingsen , Zhu Yanqiu , Li Guangshe , Peng Yue , Wang Nannan , Wu Yimin A. 
Published: October 2024

AbstractCu nanoparticles (NPs) have attracted widespread attention in electronics, energy, and catalysis. However, conventionally synthesized Cu NPs face some challenges such as surface passivation and agglomeration in applications, which impairs their functionalities in the physicochemical properties. Here, the issues above by engineering an embedded interface of stably bare Cu NPs on the cation‐vacancy CuWO4 support is addressed, which induces the strong metal‐support interactions and reverse electron transfer. Various atomic‐scale analyses directly demonstrate the unique electronic structure of the embedded Cu NPs with negative charge and anion oxygen protective layer, which mitigates the typical degradation pathways such as oxidation in ambient air, high‐temperature agglomeration, and CO poisoning adsorption. Kinetics and in situ spectroscopic studies unveil that the embedded electron‐enriched Cu NPs follow the typical Eley‐Rideal mechanism in CO oxidation, contrasting the Langmuir‐Hinshelwood mechanism on the traditional Cu NPs. This mechanistic shift is driven by the Coulombic repulsion in anion oxygen layer, enabling its direct reaction with gaseous CO to form the easily desorbed monodentate carbonate.
Insight into the Impact of Electrolyte on Passivation of Lithium–Sulfur Cathodes
Authors: Cistjakov Walter , Hoppe Johanna , Jung Jinkwan , Röder Fridolin , Kim Hee‐Tak , Krewer Ulrike 
Published: October 2024

AbstractOne of the remaining challenges for lithium–sulfur batteries toward practical application is early cathode passivation by the insulating discharge product: Li2S. To understand how to best mitigate passivation and minimize related performance loss, a kinetic Monte–Carlo model for Li2S crystal growth from solution is developed. The key mechanisms behind the strongly different natures of Li2S layer growth, structure, and morphology for salts with different (DN) are revealed. LiTFSI electrolyte in dimethyl ether leads to lateral Li2S growth on carbon and fast passivation because it increases the Li2S precipitation‐to‐dissolution probability on carbon relative to Li2S. In contrast, LiBr electrolyte has a higher DN and yields a particle‐like structure due to a significantly higher precipitation‐to‐dissolution probability on Li2S compared to carbon. The resulting large number of Li2S sites further favors particle growth, leading to low passivation. This study is able to identify the key parameters of the electrolyte and substrate material to tune Li2S morphology and growth to pave the way for optimized performance.
Machine Learning Early Detection of SARS‐CoV‐2 High‐Risk Variants
Authors: Li Lun , Li Cuiping , Li Na , Zou Dong , Zhao Wenming , Luo Hong , Xue Yongbiao , Zhang Zhang , Bao Yiming , Song Shuhui 
Published: October 2024

AbstractThe severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has evolved many high‐risk variants, resulting in repeated COVID‐19 waves over the past years. Therefore, accurate early warning of high‐risk variants is vital for epidemic prevention and control. However, detecting high‐risk variants through experimental and epidemiological research is time‐consuming and often lags behind the emergence and spread of these variants. In this study, HiRisk‐Detector a machine learning algorithm based on haplotype network, is developed for computationally early detecting high‐risk SARS‐CoV‐2 variants. Leveraging over 7.6 million high‐quality and complete SARS‐CoV‐2 genomes and metadata, the effectiveness, robustness, and generalizability of HiRisk‐Detector are validated. First, HiRisk‐Detector is evaluated on actual empirical data, successfully detecting all 13 high‐risk variants, preceding World Health Organization announcements by 27 days on average. Second, its robustness is tested by reducing sequencing intensity to one‐fourth, noting only a minimal delay of 3.8 days, demonstrating its effectiveness. Third, HiRisk‐Detector is applied to detect risks among SARS‐CoV‐2 Omicron variant sub‐lineages, confirming its broad applicability and high ROC‐AUC and PR‐AUC performance. Overall, HiRisk‐Detector features powerful capacity for early detection of high‐risk variants, bearing great utility for any public emergency caused by infectious diseases or viruses.
The Tumor Suppressor TPD52‐Governed Endoplasmic Reticulum Stress is Modulated by APCCdc20
Authors: Dan Weichao , Fan Yizeng , Wang Yuzhao , Hou Tao , Wei Yi , Liu Bo , Li Mengxing , Chen Jiaqi , Fang Qixiang , Que Taotao , Lei Yuzeshi , Guo Chendong , Wang Chi , Gao Yang , Zeng Jin , Li Lei 
Published: October 2024

AbstractAberrant regulation of unfolded protein response (UPR)/endoplasmic reticulum (ER) stress pathway is associated with cancer development, metastasis, and relapse, and the UPR signal transducer ATF6 has been proposed as a diagnostic and prognostic marker for many cancers. However, a causal molecular link between ATF6 activation and carcinogenesis is not established. Here, it is found that tumor protein D52 (TPD52) integrates ER stress and UPR signaling with the chaperone machinery by promoting S2P‐mediated cleavage of ATF6. Although TPD52 has been generally considered as an oncogene, TPD52 is identified as a novel tumor suppressor in bladder cancer. Significantly, attenuation of the ER stress via depletion of TPD52 facilitated tumorigenesis in a subset of human carcinomas. Furthermore, the APCCdc20 E3 ligase is validated as the upstream regulator marking TPD52 for polyubiquitination‐mediated proteolysis. In addition, inactivation of Cdc20 sensitized cancer cells to treatment with the ER stress inducer in a TPD52‐dependent manner. Thus, the study suggests that TPD52 is a novel Cdc20 substrate that may modulate ER stress to prevent tumorigenesis.