bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating Novel Therapeutic Approaches for Idiopathic Short Stature: Targeting siRNA and Growth Hormone Delivery to the Growth Plate Using Exosome Nanoparticles
Authors: Yuan Jinghong , Wang Yameng , Huang Yanzhe , Li Shengqin , Zhang Xiaowen , Wu Zhiwen , Zhao Wenrui , Zhu Junchao , Zhang Junqiu , Huang Guowen , Yu Peng , Cheng Xigao , Wang Xinhui , Liu Xijuan , Jia Jingyu 
Published: April 2024

AbstractIdiopathic short stature (ISS) is a common childhood condition with largely unknown underlying causes. Recent research highlights the role of circulating exosomes in the pathogenesis of various disorders, but their connection to ISS remains unexplored. In the experiments, human chondrocytes are cocultured with plasma exosomes from ISS patients, leading to impaired chondrocyte growth and bone formation. Elevated levels of a specific long non‐coding RNA (lncRNA), ISSRL, are identified as a distinguishing factor in ISS, boasting high specificity and sensitivity. Silencing ISSRL in ISS plasma exosomes reverses the inhibition of chondrocyte proliferation and bone formation. Conversely, overexpression of ISSRL in chondrocytes impedes their growth and bone formation, revealing its mechanism of action through the miR‐877‐3p/GZMB axis. Subsequently, exosomes (CT‐Exo‐siISSRL‐oeGH) with precise cartilage‐targeting abilities are engineered, loaded with customized siRNA for ISSRL and growth hormone. This innovative approach offers a therapeutic strategy to address ISS by rectifying abnormal non‐coding RNA expression in growth plate cartilage and delivering growth hormone with precision to promote bone growth. This research provides valuable insights into ISS diagnosis and treatment, highlighting the potential of engineered exosomes.
Defective Lamtor5 Leads to Autoimmunity by Deregulating v‐ATPase and Lysosomal Acidification
Authors: Zhang Wei , Sha Zhou , Tang Yunzhe , Jin Cuiyuan , Gao Wenhua , Chen Changmai , Yu Lang , Lv Nianyin , Liu Shijia , Xu Feng , Wang Dandan , Shi Liyun 
Published: April 2024

AbstractDespite accumulating evidence linking defective lysosome function with autoimmune diseases, how the catabolic machinery is regulated to maintain immune homeostasis remains unknown. Late endosomal/lysosomal adaptor, MAPK and mTOR activator 5 (Lamtor5) is a subunit of the Ragulator mediating mechanistic target of rapamycin complex 1 (mTORC1) activation in response to amino acids, but its action mode and physiological role are still unclear. Here it is demonstrated that Lamtor5 level is markedly decreased in peripheral blood mononuclear cells (PBMCs) of patients with systemic lupus erythematosus (SLE). In parallel, the mice with myeloid Lamtor5 ablation developed SLE‐like manifestation. Impaired lysosomal function and aberrant activation of mTORC1 are evidenced in Lamtor5 deficient macrophages and PBMCs of SLE patients, accompanied by blunted autolysosomal pathway and undesirable inflammatory responses. Mechanistically, it is shown that Lamtor5 is physically associated with ATP6V1A, an essential subunit of vacuolar H+‐ATPase (v‐ATPase), and promoted the V0/V1 holoenzyme assembly to facilitate lysosome acidification. The binding of Lamtor5 to v‐ATPase affected the lysosomal tethering of Rag GTPase and weakened its interaction with mTORC1 for activation. Overall, Lamtor5 is identified as a critical factor for immune homeostasis by intergrading v‐ATPase activity, lysosome function, and mTOR pathway. The findings provide a potential therapeutic target for SLE and/or other autoimmune diseases.
Surface Energy‐Assisted Patterning of Vapor Deposited All‐Inorganic Perovskite Arrays for Wearable Optoelectronics
Authors: Xu Zhangsheng , Pan Xiaojun , Lu Hui , Lu Qiuchun , Liang Yegang , He Zeping , Zhu Yizhi , Yu Yang , Wu Wenqiang , Han Xun , Pan Caofeng 
Published: April 2024

AbstractSolution‐based methods for fabricating all‐inorganic perovskite film arrays often suffer from limited control over nucleation and crystallization, resulting in poor homogeneity and coverage. To improve film quality, advanced vapor deposition techniques are employed for continuous film. Here, the vapor deposition strategy to the all‐inorganic perovskite films array, enabling area‐selective deposition of perovskite through substrate modulation is expanded. It can yield a high‐quality perovskite film array with different pixel shapes, various perovskite compositions, and a high resolution of 423 dpi. The resulting photodetector arrays exhibit remarkable optoelectronic performance with an on/off ratio of 13 887 and responsivity of 47.5 A W−1. The device also displays long‐term stability in a damp condition for up to 12 h. Moreover, a pulse monitoring sensor based on the perovskite films array demonstrates stable monitoring for pulse signals after being worn for 12 h and with a low illumination of 0.055 mW cm−2, highlighting the potential application in wearable optoelectronic devices.
One‐Component Cationic Lipids for Systemic mRNA Delivery to Splenic T Cells
Authors: Zhang Xinyue , Su Kexin , Wu Shiqi , Lin Lixin , He Shun , Yan Xinxin , Shi Lu , Liu Shuai 
Published: April 2024

AbstractUnlocking the full potential of mRNA immunotherapy necessitates targeted delivery to specific cell subsets in the spleen. Four‐component lipid nanoparticles (LNPs) utilized in numerous clinical trials are primarily limited in hepatocyte and muscular targeting, highlighting the imperative demand for targeted and simplified non‐liver mRNA delivery systems. Herein, we report the rational design of one‐component ionizable cationic lipids to selectively deliver mRNA to the spleen and T cells with high efficacy. Unlike the tertiary amine‐based ionizable lipids involved in LNPs, the proposed cationic lipids rich in secondary amines can efficiently deliver mRNA both in vitro and in vivo as the standalone carriers. Furthermore, these vectors facilitate efficacious mRNA delivery to the T cell subsets following intravenous administration, demonstrating substantial potential for advancing immunotherapy applications. This straightforward strategy extends the utility of lipid family for extrahepatic mRNA delivery, offering new insights into vector development beyond LNPs to further the field of precise mRNA therapy.
An All‐Rounder for NIR‐II Phototheranostics: Well‐Tailored 1064 nm‐Excitable Molecule for Photothermal Combating of Orthotopic Breast Cancer
Authors: Yan Dingyuan , Zhang Zhijun , Zhang Jianyu , Li Xue , Wu Qian , Gui Yixiong , Zhu Jun , Kang Miaomiao , Chen Xiaohui , Tang Ben Zhong , Wang Dong 
Published: April 2024

AbstractThe second near‐infrared (NIR‐II, 1000–1700 nm) light‐activated organic photothermal agent that synchronously enables satisfying NIR‐II fluorescence imaging is highly warranted yet rather challenging on the basis of the overwhelming nonradiative decay. Herein, such an agent, namely TPABT‐TD, was tactfully designed and constructed via employing benzo[c]thiophene moiety as bulky electron donor/π‐bridge and tailoring the peripheral molecular rotors. Benefitting from its high electron donor–acceptor strength and finely modulated intramolecular motion, TPABT‐TD simultaneously exhibits ultralong absorption in NIR‐II region, intense fluorescence emission in the NIR‐IIa (1300–1500 nm) region as nanoaggregates, and high photothermal conversion upon 1064 nm laser irradiation. Those intrinsic advantages endow TPABT‐TD nanoparticles with prominent fluorescence/photoacoustic/photothermal trimodal imaging‐guided NIR‐II photothermal therapy against orthotopic 4T1 breast tumor with negligible adverse effect.
M−N3 Configuration on Boron Nitride Boosts Singlet Oxygen Generation via Peroxymonosulfate Activation for Selective Oxidation
Authors: Zhen Jianzheng , Sun Jiahao , Xu Xiangwei , Wu Zenglong , Song Wenkai , Ying Yunzhan , Liang Shikun , Miao Lingshan , Cao Jiazhen , Lv Weiyang , Song Changsheng , Yao Yuyuan , Xing Mingyang 
Published: April 2024

AbstractSinglet oxygen (1O2) is an essential reactive species responsible for selective oxidation of organic matter, especially in Fenton‐like processes. However, due to the great limitations in synthesizing catalysts with well‐defined active sites, the controllable production and practical application of 1O2 remain challenging. Herein, guided by theoretical simulations, a series of boron nitride‐based single‐atom catalysts (BvBN/M, M=Co, Fe, Cu, Ni and Mn) were synthesized to regulate 1O2 generation by activating peroxymonosulfate (PMS). All the fabricated BvBN/M catalysts with explicit M−N3 sites promoted the self‐decomposition of the two PMS molecules to generate 1O2 with high selectivity, where BvBN/Co possessed moderate adsorption energy and d‐band center exhibited superior catalytic activity. As an outcome, the BvBN/Co‐PMS system coupled with membrane filtration technology could continuously transform aromatic alcohols to aldehydes with nearly 100 % selectivity and conversion rate under mild conditions, suggesting the potential of this novel catalytic system for green organic synthesis.
Hydrogen‐Bond‐Mediated Formation of C−N or C=N Bond during Photocatalytic Reductive Coupling Reaction over CdS Nanosheets
Authors: He Jie , Han Bo , Xian Chensheng , Hu Zhao , Fang Tingfeng , Zhang Zehui 
Published: April 2024

AbstractReductive amination of carbonyl compounds and nitro compounds represents a straightforward way to attain imines or secondary amines, but it is difficult to control the product selectivity. Herein, we report the selective formation of C−N or C=N bond readily manipulated through a solvent‐induced hydrogen bond bridge, facilitating the swift photocatalytic reductive coupling process. The reductive‐coupling of nitro compounds with carbonyl compounds using formic acid and sodium formate as the hydrogen donors over CdS nanosheets selectively generates imines with C=N bonds in acetonitrile solvent; while taking methanol as solvent, the C=N bonds are readily hydrogenated to the C−N bonds via hydrogen‐bonding activation. Experimental and theoretical study reveals that the building of the hydrogen‐bond bridge between the hydroxyl groups in methanol and the N atoms of the C=N motifs in imines facilitates the transfer of hydrogen atoms from CdS surface to the N atoms in imines upon illumination, resulting in the rapid hydrogenation of the C=N bonds to give rise to the secondary amines with C−N bonds. Our method provides a simple way to control product selectivity by altering the solvents in photocatalytic organic transformations.
Operando Temperature Dynamic Investigation of Electric Double‐Layer Capacitors Containing Organic Electrolytes
Authors: Kreth Fabian Alexander , Köps Lukas , Donne Scott W. , Balducci Andrea 
Published: April 2024

AbstractInvited for this month's cover picture is the Balducci's group who works on the development of innovative electrolytes and materials for safer, high‐performance supercapacitors and batteries, and on advanced real‐time characterization techniques to improve the understanding of aging and charge storage processes in electrochemical devices. The front cover illustrates a supercapacitor evaluated with the screening technique presented in this report. It highlights different electrolyte compositions, indicated by chemical compounds above the setup. This approach provides insights into how capacitance, energy, power, entropy, and enthalpy respond to changes in temperature and voltage. Read the full text of the Research Article at 10.1002/batt.202300581.
Sharing information across patient subgroups to draw conclusions from sparse treatment networks
Authors: Evrenoglou Theodoros , Metelli Silvia , Thomas Johannes‐Schneider , Siafis Spyridon , Turner Rebecca M. , Leucht Stefan , Chaimani Anna 
Published: April 2024

AbstractNetwork meta‐analysis (NMA) usually provides estimates of the relative effects with the highest possible precision. However, sparse networks with few available studies and limited direct evidence can arise, threatening the robustness and reliability of NMA estimates. In these cases, the limited amount of available information can hamper the formal evaluation of the underlying NMA assumptions of transitivity and consistency. In addition, NMA estimates from sparse networks are expected to be imprecise and possibly biased as they rely on large‐sample approximations that are invalid in the absence of sufficient data. We propose a Bayesian framework that allows sharing of information between two networks that pertain to different population subgroups. Specifically, we use the results from a subgroup with a lot of direct evidence (a dense network) to construct informative priors for the relative effects in the target subgroup (a sparse network). This is a two‐stage approach where at the first stage, we extrapolate the results of the dense network to those expected from the sparse network. This takes place by using a modified hierarchical NMA model where we add a location parameter that shifts the distribution of the relative effects to make them applicable to the target population. At the second stage, these extrapolated results are used as prior information for the sparse network. We illustrate our approach through a motivating example of psychiatric patients. Our approach results in more precise and robust estimates of the relative effects and can adequately inform clinical practice in presence of sparse networks.
Recoverability and estimation of causal effects under typical multivariable missingness mechanisms
Authors: Zhang Jiaxin , Dashti S. Ghazaleh , Carlin John B. , Lee Katherine J. , Moreno‐Betancur Margarita 
Published: April 2024

AbstractIn the context of missing data, the identifiability or “recoverability” of the average causal effect (ACE) depends not only on the usual causal assumptions but also on missingness assumptions that can be depicted by adding variable‐specific missingness indicators to causal diagrams, creating missingness directed acyclic graphs (m‐DAGs). Previous research described canonical m‐DAGs, representing typical multivariable missingness mechanisms in epidemiological studies, and examined mathematically the recoverability of the ACE in each case. However, this work assumed no effect modification and did not investigate methods for estimation across such scenarios. Here, we extend this research by determining the recoverability of the ACE in settings with effect modification and conducting a simulation study to evaluate the performance of widely used missing data methods when estimating the ACE using correctly specified g‐computation. Methods assessed were complete case analysis (CCA) and various implementations of multiple imputation (MI) with varying degrees of compatibility with the outcome model used in g‐computation. Simulations were based on an example from the Victorian Adolescent Health Cohort Study (VAHCS), where interest was in estimating the ACE of adolescent cannabis use on mental health in young adulthood. We found that the ACE is recoverable when no incomplete variable (exposure, outcome, or confounder) causes its own missingness, and nonrecoverable otherwise, in simplified versions of 10 canonical m‐DAGs that excluded unmeasured common causes of missingness indicators. Despite this nonrecoverability, simulations showed that MI approaches that are compatible with the outcome model in g‐computation may enable approximately unbiased estimation across all canonical m‐DAGs considered, except when the outcome causes its own missingness or causes the missingness of a variable that causes its own missingness. In the latter settings, researchers may need to consider sensitivity analysis methods incorporating external information (e.g., delta‐adjustment methods). The VAHCS case study illustrates the practical implications of these findings.
On repeated diagnostic testing in screening for a medical condition: How often should the diagnostic test be repeated?
Authors: Sangnawakij Patarawan , Böhning Dankmar 
Published: April 2024

AbstractIn screening large populations a diagnostic test is frequently used repeatedly. An example is screening for bowel cancer using the fecal occult blood test (FOBT) on several occasions such as at 3 or 6 days. The question that is addressed here is how often should we repeat a diagnostic test when screening for a specific medical condition. Sensitivity is often used as a performance measure of a diagnostic test and is considered here for the individual application of the diagnostic test as well as for the overall screening procedure. The latter can involve an increasingly large number of repeated applications, but how many are sufficient? We demonstrate the issues involved in answering this question using real data on bowel cancer at St Vincents Hospital in Sydney. As data are only available for those testing positive at least once, an appropriate modeling technique is developed on the basis of the zero‐truncated binomial distribution which allows for population heterogeneity. The latter is modeled using discrete nonparametric maximum likelihood. If we wish to achieve an overall sensitivity of 90%, the FOBT should be repeated for 2 weeks instead of the 1 week that was used at the time of the survey. A simulation study also shows consistency in the sense that bias and standard deviation for the estimated sensitivity decrease with an increasing number of repeated occasions as well as with increasing sample size.
Luminescence properties of CdF2 single crystals co‐doped with Er3+ and Y3+ ions
Authors: Boubekri Hani , Fartas Reda , Diaf Madjid , Cittadino Giovanni , Tonelli Mauro , Bitam Adel , Toma Octavian 
Published: April 2024

AbstractThe luminescence properties of erbium and yttrium co‐doped cadmium difluoride with three different concentrations of yttrium were investigated. First, we synthesized single crystal samples with good optical quality using the Bridgman technique. From the optical absorption spectra, recorded at room temperature, both in the ultraviolet–visible and infrared spectral ranges, Judd–Ofelt analysis was performed based on yttrium concentrations to predict the radiative properties of Er3+ luminescent ions. For the 10% optimum concentration of yttrium, a detailed photoluminescence investigation was carried out. We mainly explored green, red, and near‐infrared fluorescence under different excitation wavelengths and presented their highlight spectroscopic characteristics. The desired transitions had relatively high emission cross‐sections both under visible and near‐infrared excitation. Optical gain followed a similar trend. Furthermore, the dynamic fluorescence study showed a significant increase in the measured lifetime under an 800 nm infrared excitation. The upconversion process under an 800 nm excitation produced quantum efficiency greater than 100% due to the contribution of more than one energy transfer mechanism.
Visualizing the landscape of blue finance for sustainable development: A bibliometric analysis and future directions
Authors: Wang Di , Zhang Xujun , Chen Songzhou 
Published: April 2024

AbstractBlue finance research has recently made significant progress, but comprehensive research is still in its infancy. This paper established a consolidated database of 223 articles on blue finance and used CiteSpace for visualization analysis. Firstly, blue finance develops in embryonic, fluctuating, and stable growth phases. The main research countries are the US, Australia, England, and Canada. The University of California and the University of Queensland are the main research institutions. Marine Policy and Science are highly cited journals. A few core authors shape blue finance research with limited collaboration. Secondly, three themes were established by categorizing ten keyword clusters: financial instruments and mechanisms for marine conservation and sustainability, policy frameworks for adaptation and climate resilience, and policy frameworks for adaptation and climate resilience. Thirdly, contingent valuation, marine protected areas, and the blue economy are the main research hotspots. The results' theoretical contribution is identifying the progress of blue finance and its potential directions. Researchers, managers, and policymakers can use it to promote economic growth and ocean sustainability.
Relations between supply chain performance and circular economy implementation: A fuzzy cognitive map‐based analysis for sustainable development
Authors: Zanon Lucas Gabriel , Bertassini Ana Carolina , Sigahi Tiago Fonseca Albuquerque Cavalcanti , Anholon Rosley , Carpinetti Luiz Cesar Ribeiro 
Published: April 2024

AbstractSupply chain sustainability is now an imperative, particularly considering the circular supply chain (CSC) paradigm, which offers opportunities for performance improvement. Thus, it is possible to infer that there is a causal link between circularity and supply chain performance. However, the analysis of this relationship occurs under subjective perspectives. To computationally process human language can overcome this issue. Hence, this paper aims to propose an approach for assessing the influence of circular economy (CE) implementation principles on supply chain performance using the fuzzy cognitive map (FCM), a well‐established soft computing technique. The study develops a computational model and brings an illustrative application. Methodologically, is model‐based, quantitative, axiomatic and descriptive. It contributes by providing means to support the formulation of strategies for aligning CE implementation efforts with supply chain performance improvement efforts. The FCM visually represents how supply chain performance attributes are influenced by CE principles, supporting informed decision‐making towards circularity.
The role of supply chain analytics on supply chain responsiveness, resilience, and restoration (3Rs) capabilities in the United Arab Emirates
Authors: Shamout Mohamed Dawood 
Published: April 2024

AbstractThis paper responds to calls for research and conceptualizes resilience, responsiveness and reconfigurable (3Rs) capabilities required for handling disruptions in pre‐disruption, during disruption and post‐disruption stages. This paper examined the impact of analytics on 3Rs capabilities in the supply chain context building on the tenets of contingency theory. Drawing on survey data obtained from individuals with managerial positions in firms operating in the United Arab Emirates (n = 151), this study investigates how supply chain analytics foster 3Rs capacities in the face of a pandemic using canonical correlation and linear regression analyses. Supply chain analytics is a relevant predictor for supply chain (i) resilience, (ii) responsiveness, and (iii) restoration/reconfiguration. Inevitable supply chain disruptions call for investment and integration of digital tools like supply chain analytics because they offer timely information for informed decision‐making. This work provides theoretical contributions to the domain of interest by exploring the role of supply chain analytics on the 3Rs capabilities.
Trophy, souvenir, or simple theft? Taking items from the victim in sexual homicide
Authors: Walter Megan , Beauregard Eric , Chopin Julien 
Published: April 2024

AbstractAlthough most people have heard the terms ‘souvenirs’, ‘trophies’, and ‘mementos’, discussed in books and movies on the true crimes of sexual murderers, limited research has delved into the phenomenon of theft in sexual homicide (SH). Using a sample of 762 SH cases coming from the Sexual Homicide International Database, the current study examines the crime‐commission process of the pre‐crime, crime, and post‐crime phases of sexual homicide offenders (SHOs) who engaged in theft during a SH. Additionally, this study seeks to determine if a specific type of SHO engages in this behaviour over others. Results from the sequential logistic regression indicate that victims who are 16 years or older, were strangers to the SHO, and were sex workers were more likely to be victims of theft. Additionally, results indicate that the presence of sadism made it more likely the SHO would engage in theft from the victim and/or crime scene. Findings suggest there is a group of SHOs who engage in theft not for monetary purposes but due to the paraphilia of the offender. These findings can inform the police investigation of these crimes.