bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reprogrammable Supramolecular Fluorescent Polymers for Rewritable Information Encryption and Anti‐Counterfeiting
Authors: Tian Yong , Huang Baoyu , He Shun , Zhao Yi , Zang Kairong , Wang Hong , Zhao Xiaomei , Cui Jiaxi , Chen Jian 
Published: December 2024

AbstractThe development of rewritable information encryption technology with high security is essential to meet the increasing confidentiality needs, however, it remains challenging. Hence, a strategy using self‐growth technology and host–guest interaction to construct reprogrammable photoswitchable supramolecular fluorescent polymers (PSFP) is developed, enabling rewritable information encryption. In this strategy, the polymerizable adamantane (AD) is integrated into polymer materials by employing the self‐growth method to create the desired 3D structure on the surface of the matrix. The fluorescent dyes modified by β‐cyclodextrin (CDPA and CDNA) and photochromic spiropyran‐linked β‐cyclodextrin (CDSP) are incorporated into the growing structure through host–guest interactions between AD unit and β‐cyclodextrin (β‐CD) moieties. Based on the photo‐induced fluorescence resonance energy transfer (FRET) process, PSFP can undergo reversible dual‐state fluorescence switching between blue/green and red. Interestingly, owing to the dynamic features of host–guest interactions, the fluorescent information can be erased and rewritten easily. These outstanding performances promote to apply PSFP to rewritable information encryption and anti‐counterfeiting labels. Overall, this strategy opens up new prospects for smart photoswitchable fluorescent materials.
Vanadium Oxide Clusters Mediated Bismuth‐Tin Alloy for Accelerated Dynamics of Electrocatalytic CO2 Conversion
Authors: Zhu Jiaye , Zhou Guorong , Tong Yun , Chen Lu , Chen Pengzuo 
Published: December 2024

AbstractThe electrocatalytic conversion of carbon dioxide (CO2) to formate is significant for carbon neutrality. How to improve the reaction kinetics of electrocatalysts is one of the important challenges. An innovative electrodeposition strategy is presented herein to rationally synthesize the vanadium oxide (VOx) clusters decorated Bi‐Sn alloy (BiSn(VOx)) catalyst. Theoretical and in situ spectral studies confirm the simultaneously improved kinetics of CO2 activation and subsequent protonation via VOx clusters mediated water dissociation process, thereby optimizing the electrocatalytic activity and selectivity of CO2 to formate. Remarkably, this BiSn(VOx) catalyst achieves high Faradic efficiency (FE) of formate over 90% within wide potential window of 800 mV and excellent stability over 100 h at −0.6 V versus RHE. Moreover, the BiSn(VOx) cathode integrated rechargeable Zn‐CO2 battery realizes the largest power density of 3.8 mW cm−2, while the assembled co‐electrolysis electrolyzer delivers a total FE of formate over 182% at a cell voltage of 0.6 V, outperforming the highest value so far. The work provides a promising way to develop advanced electrocatalysts for electrolysis.
Reducing the Exciton Binding Energy of Covalent Organic Framework Through π‐Bridges to Enhance Photocatalysis
Authors: Wang Xiao‐Xing , Zhang Cheng‐Rong , Bi Rui‐Xiang , Peng Zhi‐Hai , Song An‐Min , Zhang Rui , He Hao‐Xuan , Qi Jia‐Xin , Gong Jing‐Wen , Niu Cheng‐Peng , Liang Ru‐Ping , Qiu Jian‐Ding 
Published: December 2024

AbstractThe pronounced exciton binding energy (Eb) in covalent organic frameworks (COFs) results in significant energy loss, thereby constraining the photocatalytic efficiency of COFs. Herein, triphenylamine is employed as an electron donor, while triphenyltriazine served as an acceptor; benzene, naphthalene, and anthracene are utilized as π‐bridges with progressively increasing conjugation to synthesize a series of D‐π‐A structured COFs photocatalysts (COF‐1, COF‐2, and COF‐3). The correlation between π‐bridge structures and Eb is systematically examined through the removal of hexavalent uranium U(VI) from tailings wastewater under visible light irradiation as a model reaction. Notably, an increase in π‐bridge conjugation initially enhanced and then diminished the photocatalytic properties of these three catalysts. This phenomenon can be attributed to the fact that coplanarity within the COFs frameworks does not consistently improve with greater π‐bridge conjugations; specifically, COF‐2 featuring a naphthalene π‐bridge exhibited the smallest dihedral angle. The reduced dihedral angle facilitated a more planar and delocalized electron transport pathway between donor and acceptor moieties, leading to decreased Eb and inhibited exciton recombination. Consequently, COF‐2 demonstrated exceptional photocatalytic reduction of U(VI), achieving efficiencies 1.8 times and 1.5 times greater than those of COF‐1 and COF‐3, respectively. This approach offers novel insights into mitigating Eb in COFs‐based photocatalysts.
Metal Halide Perovskite LEDs for Visible Light Communication and Lasing Applications
Authors: Chen Desui , Zou Guangruixing , Wu Ye , Tang Bing , Rogach Andrey L. , Yip Hin‐Lap 
Published: December 2024

AbstractMetal halide perovskites, known for their pure and tunable light emission, near‐unity photoluminescence quantum yields, favorable charge transport properties, and excellent solution processability, have emerged as promising materials for large‐area, high‐performance light‐emitting diodes (LEDs). Over the past decade, significant advancements have been made in enhancing the efficiency, response speed, and operational stability of perovskite LEDs. These promising developments pave the way for a broad spectrum of applications extending beyond traditional solid‐state lighting and displays to include visible light communication (VLC) and lasing applications. This perspective evaluates the current state of perovskite LEDs in those emerging areas, addresses the primary challenges currently impeding the development of perovskite‐based VLC systems and laser diodes, and provides an optimistic outlook on the future realization of perovskite‐based VLC and electrically pumped perovskite lasers.
Recent Advances and Future Prospects for Construction Strategies of Flexible Electromagnetic Protection Patches
Authors: Gong De , Chen Teng , Cui Shuoming , Zhang Deyuan , Cai Jun 
Published: December 2024

AbstractWith the rapid development of morphing aircraft, increasing demands are put forward for flexible patches (FP). In addition to sufficient deformation capability and mechanical strength, FP are required for electromagnetic continuity especially at active gaps of morphing aircraft. The existing FP are developed with enhanced deformability and load‐bearing capacity, yet their limits in electromagnetic wave (EMW) absorption and electromagnetic interference (EMI) shielding cannot meet practical applications of electromagnetic protection, and their interlayer bonding also needs to be strengthened. Besides, flexible electromagnetic protection materials (FEMPM) have been developed to address electromagnetic radiation in wearable electronics and other fields, yet their deformability and mechanical properties still need to be improved. Thereon, based on reasonable structure design and fabrication methods, delicate integration of FP and FEMPM can offer a significant paradigm to construct flexible electromagnetic protection patches (FEMPP) with great potentials in engineering applications. Herein, recent advances in FP as well as FEMPM are consolidated, and detailed development in multifunctional construction of FEMPP are involved. Furthermore, challenges and developing perspectives are also discussed, aiming to inspire the relevant researches and promote development in the related fields.
Continuous preparation of alkaline hydrogen peroxide solution by micromixing device: Experiment and theoretical analysis
Authors: Xia Shunkai , Yu Xude , Chen Zhuo , Xu Jianhong 
Published: December 2024

AbstractIn the context of achieving continuous synthesis of acyl peroxides using microreactors, continuous preparation of alkaline hydrogen peroxide (AHP) solution is required. However, two key issues, Na2O2 precipitation and H2O2 decomposition, need to be considered or addressed. For the precipitation of Na2O2 during NaOH and H2O2 mixing, experiments revealed that precipitation could be avoided by appropriate selection of operation window. For the risk of violent H2O2 decomposition when NaOH and H2O2 solutions are one‐step mixed, theoretical approaches were adopted. Simulation‐derived mixing time is combined with decomposition kinetics to find a direct relationship between operation‐structure parameters and percentage of decomposed H2O2. This percentage is estimated to be in the order of 10−4 for micromixing devices, which indicates that micromixing devices can be used to one‐step mix NaOH and H2O2 solution without causing violent H2O2 decomposition. This work provides insights into the preparation of AHP solution and facilitates its continuous preparation.
FPGA‐Based Resource‐Optimal Approximate Multiplier for Error‐Resilient Applications
Authors: Khurshid Burhan 
Published: December 2024

ABSTRACTArithmetic units inspired by approximate computations have seen a significant development in error‐resilient applications, wherein accuracy can be traded off for enhanced performance. Most of the existing literature pertaining to approximate computations targets ASIC platforms. In this paper, we focus on exploiting the features of approximate computation to design efficient digital hardware for FPGA platforms. Specifically, we propose an FPGA implementation of an approximate multiplier unit based on the CORDIC algorithm. Contemporary FPGA‐based approximate multiplier implementations report a lot of compromise in accuracy and a relatively higher implementation cost in terms of utilized resources, timing, and energy. We conduct a detailed Pareto analysis to determine the number of optimal computing stages for the proposed CORDIC‐based approximate multiplier that justifies the accuracy‐performance trade‐offs. More importantly, we focus on the optimal logic distribution of the proposed multiplier circuit by restructuring the top‐level Boolean network and translating it into a circuit netlist that can be efficiently mapped onto the inherent FPGA fabric of LUTs and Carry4 primitives. Our CORDIC‐based implementations significantly improve the accuracy metrics while maintaining a suitable performance trade‐off. The efficacy of our proposed multiplier is tested using two image‐processing applications, namely, image blending and image smoothening. The obtained results show a substantial improvement over the existing state‐of‐the‐art approximate multipliers.
Lifitegrast, a Lymphocyte Function‐Associated Antigen‐1 Antagonist Demonstrates Beneficial Effect in Psoriasis
Authors: Gawande Rahul Sudhakar , Rao Thakkalapally Lakshmi , Pethe Anil M. 
Published: December 2024

ABSTRACTLifitegrast is a lymphocyte function‐associated antigen‐1 (LFA‐1) antagonist, which is approved for treatment of dry eye disease. In this work we explored the effect of lifitegrast in imiquimod induced psoriasis model in mice. Lifitegrast (5% solution) was tested in imiquimod‐induced psoriasis model in C57 mice. Lifitegrast was topically administered twice a day to the psoriatic skin for 6 days and epidermal skin thickness, psoriasis area and severity index (PASI) score and inflammation markers were assessed. Lifitegrast inhibited the imiquimod‐induced increase in the epidermal thickness, histopathological changes and PASI score. This decrease in psoriasis inflammation was accompanied by decrease in TNF‐α, IL‐6, IL‐22 and IL‐17/IL‐23 axis gene expression in the skin, and the effect is comparable to the oral cyclosporine A(5 mg/kg, twice a day) treatment. Lifitegrast demonstrated significant anti‐inflammatory activity, mainly through reduction in cytokine gene expression related to psoriasis and decreased the severity of psoriasis in vivo. The significant effect shown by this LFA‐1 and ICAM‐1 antagonist indicates a novel topical treatment for psoriasis.
Fundamental understanding of texturing electrodeposition metal zinc anodes for practical aqueous Zn‐ion batteries
Authors: Sun Qiangchao , Liu Xijun , Chang Linhui , Lin Min , Lu Xionggang , Cheng Hongwei 
Published: December 2024

AbstractOne of the most promising electrochemical energy storage technologies, aqueous zinc ion batteries (AZIBs), is garnering increasing attention due to their inherent safety, high sustainability, and low cost. However, the challenges posed by dendrite formation and side reactions resulting from uneven deposition of zinc metal anodes significantly impede the reversibility and cycling stability of AZIBs. Given the influence of crystallographic anisotropy on the diversity of deposited metal morphology and crystal orientation, a thorough understanding of the intrinsic texture of zinc is crucial in achieving a dendrite‐free zinc anode. This review highlights groundbreaking efforts and significant advancements in promoting the orientational electrodeposition of zinc, encompassing fundamental crystallographic and electrocrystallization theories as well as approaches for achieving textured zinc electrodeposition. The goal is to provide a comprehensive understanding of the crystallography, electrochemistry, and induction mechanisms involved in controlling sustainable zinc orientational electrodeposition for AZIBs. Lastly, four critical research aspects are proposed to facilitate the commercialization of reliable AZIBs.
Transendocardial injection of expanded autologous CD34+ cells after myocardial infarction: Design of the EXCELLENT trial
Authors: Roncalli Jerome , Roubille François , Meyer Nicolas , Pompilio Giulio , Leroux Lionel , Henon Philippe , Trebuchet Guillaume , Criquet Anthony , de Kalbermatten Matthieu , Saloux Eric , Manrique Alain , Marie Pierre‐Yves , Bhatt Deepak L. , Solomon Scott D. , Montalescot Gilles , Newby David E. , Zannad Faiez ,   the EXCELLENT Trial Investigators
Published: December 2024

AbstractAimsThe extent of irreversible cardiomyocyte necrosis after acute myocardial infarction (AMI) is a major determinant of residual left ventricular (LV) function and clinical outcome. Cell therapy based on CD34+ cells has emerged as an option to help repair the myocardium and to improve outcomes. The dose of CD34+ cells and the route of administration are two important factors that will determine the clinical effectiveness of the approach, provided it is robust and feasible. Here, we describe the rationale and design of the multicentre open‐label randomized controlled phase I/IIb trial evaluating the safety and the likelihood of efficacy of transendocardial expanded CD34+ cell administration in patients presenting with AMI and a reduced LV ejection fraction.MethodsPatients with a large AMI and LV ejection fraction <50% are randomized 3:1 to transendocardial expanded CD34+ cell injection plus standard of care or standard of care alone. Patients randomized to intervention are treated with lenograstim for 5 days before 220 ± 10 mL blood cell harvest from which autologous CD34+ cells are purified and expanded for 9 days using an automated good manufacturing practice compliant platform. The primary endpoint is the incidence of major adverse cardiac events over 6 months. The main secondary endpoints are LV end systolic volume index and the viability of the infarcted segments.ConclusionsAutologous CD34+ cell therapy is currently limited by technological constraints. This is the first trial to evaluate the feasibility and potential effect of CD34+ cells after automated expansion and transendocardial administration in patients with large AMI.
TOX Does Not Drive Sepsis‐Induced T‐Cell Exhaustion
Authors: Qin Yingyu , Qian Yilin , Liu Shengqiu , Chen Rong 
Published: December 2024

ABSTRACTThe immune system undergoes profound dysregulation in sepsis, characterized by hyperinflammation in the acute phase followed by long‐lasting immunosuppression. T‐cell exhaustion has been proposed as one facet of sepsis‐related immunosuppression, which is characterized by impaired effector function and continuous expression of PD1. However, the current analysis of T‐cell exhaustion in the post‐sepsis is inadequate. Our current study has identified a progressive increase in the frequency of CD44+CD11a+ memory T cells during the post‐sepsis phase, accompanied by the upregulation of exhaustion markers (PD‐1, Lag3, and Tim3) and functional impairments in these cells. TOX is traditionally recognized as a key regulator driving CD8+ T‐cell exhaustion in cancer and chronic infection. However, we demonstrate that TOX does not play a critical role in T‐cell exhaustion during chronic sepsis but rather is involved in T‐cell effector function. Both knockout and “knockdown” of TOX failed to alleviate sepsis‐induced T‐cell exhaustion. Instead, deletion of TOX impaired the effector function of T cells in chronic sepsis, contradicting its impact on short‐term TCR engagement. Our study provides a novel insight into sepsis‐induced T‐cell exhaustion, highlighting the distinct characteristics of T‐cell exhaustion programmed by sepsis.
Electrokinetic Power‐Series Solution in Narrow Cylindrical Capillaries for All Zeta Potentials
Authors: Khalifa Sam , Villegas Arturo , Diez Francisco J. 
Published: December 2024

ABSTRACTWork from Rice and Whitehead showed the results of electrokinetic flow in a capillary tube under the assumption of low zeta potential 25 mV, limiting the approximation's usability. Further research conducted by Philip and Wooding provided an alternative solution that assumes high zeta potentials 25 mV and relies on Rice and Whitehead's solution for lower ranges. However, this solution is presented as a piecewise function, where the functions change based on the zeta potential and the parameter, introducing infinite values for the zeta potential and discontinuities in the derived functions. This paper aims to provide a singular equation solution to the full Poisson–Boltzmann equation for a long cylindrical capillary for all zeta potentials. This solution is a single, continuous, and finite function that produces exact results instead of approximations for all ranges of zeta potential. This exact solution is compared against published approximate solutions for large zeta potentials shown by comparing the large zeta potential approximation with the new exact solution. Important parameters such as volume transport and apparent viscosity were found to have errors of up to 9.76%–57.4%, respectively. The function has errors of up to 10.5% compared to our full solution.
Two‐stage stochastic robust optimal scheduling of virtual power plant considering source load uncertainty
Authors: Zhang Xiaohui , Liu Yufei 
Published: December 2024

AbstractAiming at the optimal scheduling problem of virtual power plant (VPP) with multiple uncertainties on the source‐load side, this paper proposes a two‐stage stochastic robust optimal scheduling method considering the uncertainty of the source‐load side. This method combines the characteristics of robust optimization and stochastic optimization to model the source‐load uncertainty differentiation. The Wasserstein generative adversarial network with gradient penalty (WGAN‐GP) is used to generate electric and thermal load scenarios, and then K‐medoids clustering is used to obtain several typical scenarios. The min–max–min two‐stage stochastic robust optimization model is constructed, and the column constraint generation (C&CG) algorithm and dual theory are used to solve the problem, and the scheduling scheme with the lowest operating cost in the worst scenario is obtained.
Carer Outcomes From a Residential Treatment Service for Eating Disorders
Authors: Day Sinead , Mitchison Deborah , Gill Katherine , Rankin Rebekah , Tannous W. Kathy , Hay Phillipa 
Published: December 2024

ABSTRACTObjectiveEating disorders often result in distress, relationship impairment, and emotional, social, and financial burden for family members and other loved ones. However, carer outcomes from eating disorder treatment are under‐researched, particularly residential settings. This study aimed to examine carer outcomes from a transdiagnostic residential service for eating disorders, which included therapist‐led psychoeducation and peer support for carers.MethodMeasures of carer burden, accommodation and enabling of eating disorder symptoms, psychological distress, and health‐related quality of life were completed at pre‐treatment and three months' post‐treatment by 51 carers (66.7% parents).ResultsLinear mixed effects modelling found significant improvement in carer burden (b = −5.80, p = 0.033), accommodation and enabling of eating disorder symptoms (b = −13.32, p = 0.003), and psychological distress (b = −3.19 p = 0.026), with medium to large effect sizes (d = −0.76–1.32). Averaged across time, women reported significantly greater carer burden than men (b = 12.42, p = 0.011).ConclusionsFindings support the effectiveness of residential treatment for carers, including improvement in behaviours that are likely to support eating disorder recovery. Future research is needed to determine what elements in residential treatment, the caregiving relationship, and beyond contribute to these positive outcomes.Trial Registration: The study was prospectively registered on the Australian and New Zealand Clinical Trials Registry in November 2021, registration number ACTRN12621001651875
Identification of Ferroptosis‐Related Gene in Age‐Related Macular Degeneration Using Machine Learning
Authors: Zhu Meijiang , Yu Jing 
Published: December 2024

ABSTRACTBackgroundAge‐related macular degeneration (AMD) is a major cause of irreversible visual impairment, with dry AMD being the most prevalent form. Programmed cell death of retinal pigment epithelium (RPE) cells is a central mechanism in the pathogenesis of dry AMD. Ferroptosis, a recently identified form of programmed cell death, is characterized by iron accumulation‐induced lipid peroxidation. This study aimed to investigate the involvement of ferroptosis in the progression of AMD.MethodsA total of 41 samples of AMD and 50 normal samples were obtained from the data set GSE29801 for differential gene expression analysis and functional enrichment. Differentially expressed genes (DEGs) were selected and intersected with genes from the ferroptosis database to obtain differentially expressed ferroptosis‐associated genes (DEFGs). Machine learning algorithms were employed to screen diagnostic genes. The diagnostic genes were subjected to Gene Set Enrichment Analysis (GSEA). Expression differences of diagnostic genes were validated in in vivo and in vitro models.ResultsWe identified 462 DEGs when comparing normal and AMD samples. The GO enrichment analysis indicated significant involvement in key biological processes like collagen‐containing extracellular matrix composition, positive cell adhesion regulation, and extracellular matrix organization. Through the intersection with ferroptosis gene sets, we pinpointed 10 DEFGs. Leveraging machine learning algorithms, we pinpointed five ferroptosis feature diagnostic genes: VEGFA, SLC2A1, HAMP, HSPB1, and FADS2. The subsequent experiments validated the increased expression of SLC2A1 and FADS2 in the AMD ferroptosis model.ConclusionThe occurrence of ferroptosis could potentially contribute to the advancement of AMD. SLC2A1 and FADS2 have demonstrated promise as emerging diagnostic biomarkers and plausible therapeutic targets for AMD.