bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recent Progress of Advanced AIE Materials for Visualization of 3‐Level Latent Fingerprints
Authors: Zhuang GuoXin , Wen YongLin , Lai XiangHui , Lin GuoSong , Zhuang ZanYong , Chen Fei‐Fei , Yu Yan 
Published: May 2024

AbstractThe 3‐level features of Latent fingerprints (LFPs) are pivotal in linking suspects with problematic or incomplete fingerprint data, constituting one of the most robust forms of evidence. Aggregation‐induced emission (AIE) materials, known for their heightened emissive properties in high aggregation states, provide a robust and powerful approach for developing techniques for 3‐level details of LFPs. So far, tremendous efforts have been devoted to solving high background fluorescence interference during the 3‐level LFPs visualization process. This review commences with an overview of 3‐level features and summarizes the interaction and mechanism of visualizing LFPs involving AIE materials and LFPs secretions. Moreover, it encompasses strategies to enhance the contrast and brightness of 3‐level LFPs images. We highlight the mechanism of AIE′s physicochemical properties and their effects on the visualization of 3‐level LFPs. Additionally, we provide insights into potential challenges and opportunities in this emerging field.
Trigger waves in an oscillator loop and their applications in voltage‐controlled oscillation with high tuning gain
Authors: Narahara Koichi 
Published: May 2024

SummaryTrigger waves, propagating in a loop of a one‐dimensional lattice of tunnel‐diode (TD) oscillators, can be effectively applied to voltage‐controlled oscillation with high tuning gain. The lattice under investigation can generate both phase and trigger waves by varying the bias voltage to the TD. We demonstrate a voltage‐controlled oscillator (VCO) achieving high tuning gain through the utilization of rotating trigger waves. As the loop size decreases, the trigger wave becomes bound to itself or to adjacent waves. At this point, the excitation motion of the individual lattice cell is constrained by the global interaction caused by the trigger wave(s), leading to coherent behavior. Consequently, the bifurcation curve of the trigger wave seamlessly connects to that of the phase wave with changes in the TD bias voltage. Owing to the trigger wave's property of significantly increasing velocity with the TD bias voltage, a VCO with very high tuning gain can be developed, leveraging the seamless dependence of the oscillation frequency on the TD bias voltage.
Ubiquitous regulation of cerebrovascular diseases by ubiquitin‐modifying enzymes
Authors: Huang Jingyong , Zhu Zhenhu , Schlüter Dirk , Lambertsen Kate Lykke , Song Weihong , Wang Xu 
Published: May 2024

AbstractCerebrovascular diseases (CVDs) are a major threat to global health. Elucidation of the molecular mechanisms underlying the pathology of CVDs is critical for the development of efficacious preventative and therapeutic approaches. Accumulating studies have highlighted the significance of ubiquitin‐modifying enzymes (UMEs) in the regulation of CVDs. UMEs are a group of enzymes that orchestrate ubiquitination, a post‐translational modification tightly involved in CVDs. Functionally, UMEs regulate multiple pathological processes in ischemic and hemorrhagic stroke, moyamoya disease, and atherosclerosis. Considering the important roles of UMEs in CVDs, they may become novel druggable targets for these diseases. Besides, techniques applying UMEs, such as proteolysis‐targeting chimera and deubiquitinase‐targeting chimera, may also revolutionize the therapy of CVDs in the future.
Melanocyte stem cells in the skin: Origin, biological characteristics, homeostatic maintenance and therapeutic potential
Authors: Huang Luling , Zuo Yuzhi , Li Shuli , Li Chunying 
Published: May 2024

AbstractMelanocyte stem cells (MSCs), melanocyte lineage‐specific skin stem cells derived from the neural crest, are observed in the mammalian hair follicle, the epidermis or the sweat gland. MSCs differentiate into mature melanin‐producing melanocytes, which confer skin and hair pigmentation and uphold vital skin functions. In controlling and coordinating the homeostasis, repair and regeneration of skin tissue, MSCs play a vital role. Decreased numbers or impaired functions of MSCs are closely associated with the development and therapy of many skin conditions, such as hair graying, vitiligo, wound healing and melanoma. With the advancement of stem cell technology, the relevant features of MSCs have been further elaborated. In this review, we provide an exhaustive overview of cutaneous MSCs and highlight the latest advances in MSC research. A better understanding of the biological characteristics and micro‐environmental regulatory mechanisms of MSCs will help to improve clinical applications in regenerative medicine, skin pigmentation disorders and cancer therapy.Key points
This review provides a concise summary of the origin, biological characteristics, homeostatic maintenance and therapeutic potential of cutaneous MSCs.
The role and potential application value of MSCs in skin pigmentation disorders are discussed.
The significance of single‐cell RNA sequencing, CRISPR‐Cas9 technology and practical models in MSCs research is highlighted.
Lateral heterogeneity of basin‐plain turbidites of the Cloridorme Formation, Quebec, Canada: Implications for horizontal well prediction
Authors: Jobe Zane , Seckinger Chance , Martin Thomas , Kus Kaci , Pettinga Luke 
Published: May 2024

AbstractFacies models for basin‐plain turbidite systems often depict very simplistic event‐bed geometries that are tabular at the kilometre scale. However, recent studies have demonstrated more complex facies architectures, including rapid changes in event‐bed thickness and facies composition. This lateral event‐bed heterogeneity can have a significant impact on reservoir heterogeneity prediction in basin‐plain turbidite systems developed for hydrocarbon production, carbon sequestration or geothermal energy. Coastal outcrops on the Gaspé Peninsula in Quebec expose the Middle Ordovician Cloridorme Formation, a synorogenic ‘flysch’ turbidite system developed in the Taconic foreland basin. The formation is interpreted to occupy a basin‐floor position due to long‐distance (tens of kilometres) correlations of bedsets in the direction of palaeocurrent. This outcrop‐based study of the Cloridorme Formation utilises drone photogrammetry, centimetre‐scale graphic logs and handheld gamma ray scintillometry data to better understand the detailed turbidite and hybrid event‐bed architecture in a basin‐plain setting. While most beds in this outcrop study can be traced for 500 m or more in a downcurrent direction, these results indicate significant intra‐bed and inter‐bed lateral complexity, including changes in bed thickness, grain‐size distribution and mud content. The quantification of these lateral changes and comparison with other well‐constrained outcrop analogues refines the environment of the Cloridorme Formation and aids in the prediction of subsurface heterogeneity in conventional and unconventional hydrocarbon reservoir systems through reservoir model parameterisation, as well as the characterisation of lateral heterogeneity important for horizontal‐well geosteering and completion strategies.
Global richness patterns of alpine genus Gentiana depend on multiple factors
Authors: Wai Thae Hnin , Liang Xin , Xie Huanhuan , Liu Lian , Pan Yingji , Xu Ying , Zhao Lina , Xu Xiaoting 
Published: May 2024

AbstractEnvironmental factors impact species richness differently across taxonomic groups, and understanding the geographic patterns and drivers influencing alpine plant richness remains limited. This study compiled global distribution data of 404 species of Gentiana, an alpine genus, and analyzed the relative effects of different environmental factors and several previously proposed models on the variation of Gentiana richness. By evaluating the effects of range size and regions on the relationships between Gentiana richness and environmental factors, we found that all tested environmental factors had weak effects on richness variation for all species and wide‐ranging species, while habitat heterogeneity was the best predictor for narrow‐ranging species. Habitat heterogeneity was the main driver of richness variation in Europe and Asia, but not in North America. The multiple regression model that included variables for energy, water, seasonality, habitat heterogeneity and past climate change had the highest explanatory power, but it still explained less than 50% of the variation in species richness for all Gentiana species at both global and regional scale, except for Europe. The limited explanatory power of environmental factors in explaining species richness patterns for all species, along with the variations observed among regions, suggest that other factors, such as evolutionary processes and biogeographic history may have also influenced the geographic patterns of Gentiana species richness. In conclusion, our results indicate a limited influence of climate factors on alpine species richness, while habitat heterogeneity, along with its impacts on speciation and dispersal, likely play significant roles in shaping the richness of alpine Gentiana species.
Predicting 1 year readmission for heart failure: A comparative study of machine learning and the LACE index
Authors: Song Xuewu , Tong Yitong , Xian Feng , Luo Yi , Tong Rongsheng 
Published: May 2024

AbstractAimsThere is a lack of tools for accurately identifying the risk of readmission for heart failure in elderly patients with arrhythmia. The aim of this study was to establish and compare the performance of the LACE [length of stay (‘L’), acute (emergent) admission (‘A’), Charlson comorbidity index (‘C’) and visits to the emergency department during the previous 6 months (‘E’)] index and machine learning in predicting 1 year readmission for heart failure in elderly patients with arrhythmia.MethodsElderly patients with arrhythmia who were hospitalized at Sichuan Provincial People's Hospital between 1 June 2018 and 31 May 2020 were enrolled. The LACE index was calculated for each patient, and the area under the receiver operating characteristic curve (AUROC) was calculated. Six machine learning algorithms, combined with three variable selection methods and clinically relevant features available at the time of hospital discharge, were used to develop machine learning models. AUROC and area under the precision–recall curve (AUPRC) were used to assess discrimination. Shapley additive explanations (SHAP) analysis was used to explain the contributions of the features.ResultsA total of 523 patients were enrolled, and 108 patients experienced 1 year hospital readmission for heart failure. The AUROC of the LACE index was 0.5886. The complete machine learning model had the best predictive performance, with an AUROC of 0.7571 and an AUPRC of 0.4096. The most important predictors for 1 year readmission were educational level, total triiodothyronine (TT3), aspartate aminotransferase/alanine aminotransferase (AST/ALT), number of medications (NOM) and triglyceride (TG) level.ConclusionsCompared with the LACE index, the machine learning model can accurately identify the risk of 1 year readmission for heart failure in elderly patients with arrhythmia.
From virus to immune system: Harnessing membrane‐derived vesicles to fight COVID‐19 by interacting with biological molecules
Authors: Li Jiayuan , Xiao Haiqing , Zhang Chang , Liu Gang , Liu Xuan 
Published: May 2024

AbstractEmerging and re‐emerging viral pandemics have emerged as a major public health concern. Highly pathogenic coronaviruses, which cause severe respiratory disease, threaten human health and socioeconomic development. Great efforts are being devoted to the development of safe and efficacious therapeutic agents and preventive vaccines to combat them. Nevertheless, the highly mutated virus poses a challenge to drug development and vaccine efficacy, and the use of common immunomodulatory agents lacks specificity. Benefiting from the burgeoning intersection of biological engineering and biotechnology, membrane‐derived vesicles have shown superior potential as therapeutics due to their biocompatibility, design flexibility, remarkable bionics, and inherent interaction with phagocytes. The interactions between membrane‐derived vesicles, viruses, and the immune system have emerged as a new and promising topic. This review provides insight into considerations for developing innovative antiviral strategies and vaccines against SARS‐CoV‐2. First, membrane‐derived vesicles may provide potential biomimetic decoys with a high affinity for viruses to block virus‐receptor interactions for early interruption of infection. Second, membrane‐derived vesicles could help achieve a balanced interplay between the virus and the host's innate immunity. Finally, membrane‐derived vesicles have revealed numerous possibilities for their employment as vaccines.
Seizure and movement disorder in CACNA1E developmental and epileptic encephalopathy: Two sides of the same coin or same side of two different coins?
Authors: Di Micco Valentina , Affronte Leonardo , Khinchi Marianne Søndergaard , Rønde Gitte , Miranda Maria Jose , Hammer Trine Bjørg , Specchio Nicola , Beniczky Sándor , Olofsson Kern , Møller Rikke S. , Gardella Elena 
Published: May 2024

AbstractPathogenic variants in CACNA1E are associated with early‐onset epileptic and developmental encephalopathy (DEE). Severe to profound global developmental delay, early‐onset refractory seizures, severe hypotonia, and macrocephaly are the main clinical features. Patients harboring the recurrent CACNA1E variant p.(Gly352Arg) typically present with the combination of early‐onset DEE, dystonia/dyskinesia, and contractures. We describe a 2‐year‐and‐11‐month‐old girl carrying the p.(Gly352Arg) CACNA1E variant. She has a severe DEE with very frequent drug‐resistant seizures, profound hypotonia, and episodes of dystonia and dyskinesia. Long‐term video‐EEG‐monitoring documented subsequent tonic asymmetric seizures during wakefulness and mild paroxysmal dyskinesias of the trunk out of sleep which were thought to be a movement disorder and instead turned out to be focal hyperkinetic seizures. This is the first documented description of the EEG findings in this disorder. Our report highlights a possible overlap between cortical and subcortical phenomena in CACNA1E‐DEE. We also underline how a careful electro‐clinical evaluation might be necessary for a correct discernment between the two disorders, playing a fundamental role in the clinical assessment and proper management of children with CACNA1E‐DEE.
Relation between soil glycerol dialkyl glycerol tetraethers and temperature in different climatic regions in China
Authors: Zhang Can , Sun Xiaoshuang , Leng Chengcheng , Yan Tianlong , Jin Miao , Liu Jinliang 
Published: May 2024

AbstractTemperature variation in the past periods can provide valuable insights into the characteristics and driving mechanisms of current global warming and future changes. Branched glycerol dialkyl glycerol tetraethers (brGDGTs) are commonly used to as a temperature proxy to quantitatively reconstruct past temperature changes. However, it still remains unclear whether the relation between brGDGTs and temperature is influenced by other environmental factors, thereby affecting the accuracy of quantitative reconstructions. A comprehensive analysis of the relation between brGDGTs and temperature across various climate regions can greatly enhance the accuracy of reconstructing past temperature changes. Here, we investigate the distribution patterns of soil brGDGTs using 28 new topsoils collected from altitudes ranging from 2100 to 4000 m.a.s.l. in the Hengduan Mountains in the southeastern margin of the Tibetan Plateau (TP), compiled previously published soil brGDGT data in China. Our results reveal distinct distribution patterns of soil brGDGTs between humid and arid regions. Furthermore, we further investigated the correlation between brGDGT indices and various environmental factors from both altitudinal and regional scales. At the altitudinal scale, brGDGT indices exhibit a stronger correlation with mean annual air temperature (MAAT) in alkaline soils (pH > 7) than that in acidic soils (pH < 7). At the regional scale, this correlation is higher in alkaline soils than that in acidic soils as well and is stronger in humid soils (mean annual precipitation [MAP] > 800 mm) than that in semi‐humid and semi‐arid soil (400 < MAP < 800 mm) and arid soil (MAP < 400 mm). In addition, brGDGT‐inferred temperature is more affected by MAP in humid alkaline soils but less affected in humid acidic soils. Therefore, caution is needed to use suitable brGDGT index for palaeotemperature reconstructions in various climate regions.
Amyloid‐β in Alzheimer's disease: Structure, toxicity, distribution, treatment, and prospects
Authors: Yu Yifan , Yu Shilong , Battaglia Giuseppe , Tian Xiaohe 
Published: May 2024

AbstractAmyloid‐β (Aβ) is a pivotal biomarker in Alzheimer's disease (AD), attracting considerable attention from numerous researchers. There is uncertainty regarding whether clearing Aβ is beneficial or harmful to cognitive function. This question has been a central topic of research, especially given the lack of success in developing Aβ‐targeted drugs for AD. However, with the Food and Drug Administration's approval of Lecanemab as the first anti‐Aβ medication in July 2023, there is a significant shift in perspective on the potential of Aβ as a therapeutic target for AD. In light of this advancement, this review aims to illustrate and consolidate the molecular structural attributes and pathological ramifications of Aβ. Furthermore, it elucidates the determinants influencing its expression levels while delineating the gamut of extant Aβ‐targeted pharmacotherapies that have been subjected to clinical or preclinical evaluation. Subsequently, a comprehensive analysis is presented, dissecting the research landscape of Aβ across the domains above, culminating in the presentation of informed perspectives. Concluding reflections contemplate the supplementary advantages conferred by nanoparticle constructs, conceptualized within the framework of multivalent theory, within the milieu of AD diagnosis and therapeutic intervention, supplementing conventional modalities.
Green silver nanoparticles: Prospective nanotools against neurodegenerative cell line model
Authors: De Matteis Valeria , Martano Simona , Pellegrino Paolo , Ingrosso Chiara , Costa Daniele , Mazzotta Stefano , Toca‐Herrera Jose L. , Rinaldi Rosaria , Cascione Mariafrancesca 
Published: May 2024

AbstractNeurodegenerative diseases represent an increasingly burdensome challenge of the past decade, primarily driven by the global aging of the population. Ongoing efforts focus on implementing diverse strategies to mitigate the adverse effects of neurodegeneration, with the goal of decelerating the pathology progression. Notably, in recent years, it has emerged that the use of nanoparticles (NPs), particularly those obtained through green chemical processes, could constitute a promising therapeutic approach. Green NPs, exclusively sourced from phytochemicals, are deemed safer compared to NPs synthetized through conventional chemical route. In this study, the effects of green chemistry‐derived silver NPs (AgNPs) were assessed in neuroblastoma cells, SHSY‐5Y, which are considered a pivotal model for investigating neurodegenerative diseases. Specifically, we used two different concentrations (0.5 and 1 µM) of AgNPs and two time points (24 and 48 h) to evaluate the impact on neuroblastoma cells by observing viability reduction and intracellular calcium production, especially using 1 µM at 48 h. Furthermore, investigation using atomic force microscopy (AFM) unveiled an alteration in Young's modulus due to the reorganization of cortical actin following exposure to green AgNPs. This evidence was further corroborated by confocal microscopy acquisitions as well as coherency and density analyses on actin fibers. Our in vitro findings suggest the potential efficacy of green AgNPs against neurodegeneration; therefore, further in vivo studies are imperative to optimize possible therapeutic protocols.
Recent progress and perspective on electrocatalysis in neutral media: Mechanisms, materials, and advanced characterizations
Authors: Lai Fayuan , Shang Haochuan , Jiao Yuchao , Chen Xinyi , Zhang Tianran , Liu Xiangfeng 
Published: May 2024

AbstractElectrocatalysis, which involves oxidation and reduction reactions with direct electron transfer, is essential for a variety of clean energy conversion devices. Currently, the vast majority of studies regarding electrocatalysis reactions focus on strong acidic or alkaline media because of the higher catalytic activity. Nevertheless, some inherent drawbacks, including the corrosive environment, expensive proton exchange membranes, and side effects, are still hard to break through. A sustainably promising way to overcome these shortcomings is to deploy neutral/near‐neutral electrolytes for electrocatalysis reactions. Unfortunately, insufficient research in this area due to the lack of attention to related issues has slowed down the development process. In this review, we systematically review the catalytic reaction mechanisms, neutral electrolytes, electrocatalysts, and modification strategies carried out in neutral media on the three most common electrocatalytic reactions, that is, hydrogen evolution reaction, oxygen reduction reaction, and oxygen evolution reaction. Furthermore, the advanced characterization tools for guiding catalyst synthesis and mechanistic studies are also summarized. Eventually, we propose some challenges and perspectives on electrocatalysis reactions in neutral media and hope it will attract more research interest and provide guidance in neutral electrocatalysis.
Incorporation of sediment- and soil-specific aspects in the Criteria for Reporting and Evaluating Ecotoxicity Data (CRED)
Authors: Casado-Martinez MCarmen , Dell'Ambrogio Gilda , Campiche Sophie , Kroll Alexandra , Lauber Eva , Marti-Roura Mireia , Mendez-Fernandez Leire , Renaud Mathieu , Tierbach Alena , Wildi Michel , Wong Janine W. Y. , Werner Inge , Junghans Marion , Ferrari Benoit J. D. 
Published: May 2024

Abstract
In environmental risk assessment either for registration purposes or for retrospective assessments of monitoring data, the hazard assessment is predominantly based on effect data from ecotoxicity studies. Most regulatory frameworks require studies used for risk assessment to be evaluated for reliability and relevance. Historically, the Klimisch methodology was used in many regulatory procedures where reliability needed to be evaluated. More recently, the Criteria for Reporting and Evaluating Ecotoxicity Data (CRED) have been developed for aquatic ecotoxicity studies, providing more detailed guidance on the evaluation and reporting of not only the reliability but also the relevance of a scientific study. Here, we discuss the application of the CRED methodology for assessing sediment and soil ecotoxicity studies, addressing important sediment- and soil-specific criteria that should be included as part of the CRED evaluation system. We also provide detailed recommendations for the design and reporting of sediment and soil toxicity studies that can be used by scientists and researchers wishing to contribute ecotoxicological data for effect assessments carried out within regulatory frameworks. Integr Environ Assess Manag 2024;20:2162–2174. © 2024 The Authors. Integrated Environmental Assessment and Management published by Wiley Periodicals LLC on behalf of Society of Environmental Toxicology & Chemistry (SETAC).
Key Points
The Criteria for Reporting and Evaluating Ecotoxicity Data (CRED) have been adapted to help risk assessors in assessing the relevance and reliability of soil and sediment ecotoxicity studies. Detailed recommendations for the design and reporting of sediment and soil ecotoxicity studies are provided that can be used by scientists and researchers wishing to contribute ecotoxicological data for effect assessments carried out within regulatory frameworks.