bluuebunny/crossref_metadata_2025_split huggingface dataset:
Homologous Targeting and Adhesion Abilities of Cellular Microvesicles for Enhanced Intravesical Therapy of Bladder Cancer
Authors: Qi Fan , Wang Lulu , Bi Luopeng , Han Xiaoqing , Yan Jiao , Song Pangpan , Wan Xingbo , Wang Yanjing , Kang Yaqing , Ding Xiaobo , Wang Yanbo , Zhang Haiyuan 
Published: November 2023

AbstractBladder cancer is one of the most common clinical malignant tumors with a high recurrence rate after surgery. To improve the therapeutic effect, intravesical instillation of chemotherapeutic drugs is usually applied after surgery. However, due to the unique microenvironment in the bladder, the drug concentration is usually rapidly reduced with urinary excretion, leading to low accumulation in bladder cancer and poor therapeutic effect. Cellular microvesicles (MVs) have parental cell‐specific characteristics and hold homologous targeting and adhesion abilities to their parent cells, achieving efficient cell uptake in their parent cells. In this study, pirarubicin (THP), a clinically approved intravesical chemotherapeutic drug, is encapsulated into bladder cancer cell‐derived MVs to form THPMVs, which have high targeting and adhesion abilities to bladder cancer and facilitate intravesical therapy of bladder cancer. The results show THPMVs compared with free THP exhibited higher cellular uptake in MB49 bladder cancer cells and cause more significant apoptotic cells. After intravesical instillation into a bladder cancer mouse model, THPMVs can significantly accumulate in bladder cancer tissues, and cause an obvious reduction in bladder weights and volumes, exhibiting promising therapeutic effects. Homologous targeting and adhesion abilities of THPMVs greatly contribute to the intravesical therapy of bladder cancer.
Structure‐Based Discovery of A Small Molecule Inhibitor of Histone Deacetylase 6 (HDAC6) that Significantly Reduces Alzheimer's Disease Neuropathology
Authors: Mondal Prasenjit , Bai Ping , Gomm Ashley , Bakiasi Grisilda , Lin Chih‐Chung Jerry , Wang Yanli , Choi Se Hoon , Tanzi Rudolph E. , Wang Changning , Zhang Can 
Published: November 2023

AbstractHistone deacetylase 6 (HDAC6) is one of the key histone deacetylases (HDACs) that regulates various cellular functions including clearance of misfolded protein and immunological responses. Considerable evidence suggests that HDAC6 is closely related to amyloid and tau pathology, the two primary hallmarks of Alzheimer's disease (AD). It is still unclear whether HDAC6 expression changes with amyloid deposition in AD during disease progression or HDAC6 may be regulating amyloid phagocytosis or neuroinflammation or other neuropathological changes in AD. In this work, the pathological accumulation of HDAC6 in AD brains over age as well as the relationship of its regulatory activity ‐ with amyloid pathogenesis and pathophysiological alterations is aimed to be enlightened using the newly developed HDAC6 inhibitor (HDAC6i) PB118 in microglia BV2 cell and 3D‐AD human neural culture model. Results suggest that the structure‐based rational design led to biologically compelling HDAC6i PB118 with multiple mechanisms that clear Aβ deposits by upregulating phagocytosis, improve tubulin/microtubule network by enhancing acetyl α‐tubulin levels, regulate different cytokines and chemokines responsible for inflammation, and significantly reduce phospho‐tau (p‐tau) levels associated with AD. These findings indicate that HDAC6 plays key roles in the pathophysiology of AD and potentially serves as a suitable pharmacological target through chemical biology‐based drug discovery in AD.
Extensive Properties Investigation of AgNWs‐PEDOT:PSS Based Transparent Conductive Electrode for Ultraflexible Organic Photodetector Applications
Authors: Dcosta Jostin Vinroy , Ochoa Daniel , Sanaur Sébastien 
Published: November 2023

AbstractIn this work, the optoelectrical, mechanical, and material properties of silver nanowires/poly(3,4‐ethylenedioxythiophene):poly(styrenesulfonate) (AgNWs‐PEDOT:PSS) hybrid electrode, solution processed on 5 µm parylene‐C substrate for ultraflexible organic photodetector (OPD) applications, are investigated. The fabricated transparent conductive hybrid electrode exhibits low sheet resistance (Rs) of 27 Ω Sq.−1 and shows an average optical transmission of 90% in the visible spectrum. Besides the comparable work function (WF) of 5 eV when compared with the standard indium tin oxide (ITO) electrode, the surface root mean square (RMS) roughness of the hybrid electrode is effectively reduced from 8 nm to 4 nm by spin coating a planarization layer of PEDOT:PSS. With a stable value in the relative change in resistance over continuous 50 k bending cycles at a curvature radius of 0.1 mm, the hybrid electrode exhibits excellent mechanical characteristics. Finally, using this hybrid electrode it is shown that an ultraflexible OPD fabricated in ambient atmospheric conditions demonstrates current density to voltage (J–V) characteristics comparable with standard ITO‐based OPD. Further, the ultraflexible OPD can withstand more than 5 k continuous bending cycles with similar J–V characteristics before and after bending.
Deciphering the Nature of an Overlooked Rate‐Limiting Interphase in High‐Voltage LiNi0.5Mn1.5O4 Cathodes: A Combined Electrochemical Impedance, Scanning Electron Microscopy and Secondary Ion Mass Spectrometry Study
Authors: Pateras Pescara Lars , Jaegermann Andrea , Mereacre Valeriu , Cronau Marvin , Binder Joachim R. , Roling Bernhard 
Published: November 2023

AbstractHigh‐voltage cathode active materials, such as LiNi0.5Mn1.5O4 (LNMO), are of major interest for the development of high‐energy lithium‐ion batteries. However, it has been reported that composite cathodes based on high‐voltage active materials suffer from high impedances and low rate capabilities. The origin of the high impedances has not yet been clarified. Here, we use a combination of electrochemical impedance spectroscopy (EIS), focused ion beam/scanning electron microscopy/energy‐dispersive X‐ray spectroscopy (FIB/SEM/EDX) and time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) for showing that in the case of LNMO‐based cathodes, a major part of the cathode impedance is related to the formation of a passivating interphase on the Al current collector. Remarkably, the impedance of this interphase can be mitigated by the targeted formation of a distinct passivating interphase, namely on the surface of the LNMO particles. The interplay between these interphases is discussed.
Reinforcing the Adsorption and Conversion of Polysulfides in Li−S Battery by Incorporating Molybdenum into MnS/MnO Nanorods
Authors: Chen Zhiyuan , Wu Jie , Jiang Muxi , Yang Yunfei , Cao Wen , Zhang Jing , Gao Xuehui , Hu Enlai , Chen Zhongwei 
Published: November 2023

AbstractThe Sabatier principle suggests that an excessive adsorption of lithium polysulfides (LiPSs) by metal compounds may hinder their conversion in the absence of a conversion module. Therefore, it is imperative to establish a synergetic effect mechanism between “strong adsorption” and “rapid conversion” for LiPSs. To achieve this coexistence, a molybdenum‐doped MnS/MnO@C porous structure is designed as a multifunctional coating on the polypropylene (PP) separator. The incorporation of MnS/MnO@C enhances the adsorption capacity towards LiPSs, while molybdenum facilitates subsequent conversion. Benefiting from the synergistic effect of each component and its large specific surface area, the cell with Mo‐doped MnS/MnO@C coating achieves smooth adsorption‐diffusion‐conversion processes and exhibits an appreciable rate performance with outstanding cycling stability. Even when sulfur loading increases to 9.68 mg cm−2, the modified battery delivers an excellent initial areal capacity of 11.69 mAh cm−2 and maintains 6.97 mAh cm−2 after 50 cycles at 0.1 C. This study presents a promising approach to simultaneously accomplish “strong adsorption” and “rapid conversion” of polysulfides, offering novel perspectives for devising dual‐functional modified separators.
Ag/ZnO Composite Structure Modulated by Hybrid Engineering for Efficient Electroreduction of CO2 to CO
Authors: Wu Zhongqiu , Wang Zhaolong , She Xiaojie , Shen Wenlong , Yuan Junjie , Xu Hui 
Published: November 2023

AbstractElectrochemical carbon dioxide reduction reaction (ECO2RR) act as a green and value‐added technology, which could convert CO2 into products with circulation value, has a good application prospect. However, the activity of non‐mainstream Zn‐based catalysts has not yet reached satisfactory expectations, and how to further modify them to improve the performance of CO production performance still remains a challenge. In our work, a design of hybrid engineering is proposed to enhance the activity of Zn‐based materials, in which the introduction of slight Ag could not only optimize the electronic structure of Zn‐based materials but also effectively increase their electrochemically active surface area. Compared with pure ZnO, the faraday efficiency of CO (FECO) in Ag/ZnO increased by 1.7 times from 45.9 % to 80.3 % at −0.977 V vs. RHE. Moreover, the long‐term and stable output of products in the electrolysis process also confirms the superior stability of the hybrid catalyst According to the in‐situ Raman study, it is confirmed that the main factor for the enhanced CO selectivity after the introduction of Ag is the improvement of the key *COOH intermediates. This study provides an effective strategy for constructing highly active Zn‐based catalysts for industrial‐scale ECO2RR.
An efficient large‐scale whole‐genome sequencing analyses practice with an average daily analysis of 100Tbp: ZBOLT
Authors: Li Zhichao , Xie Yinlong , Zeng Wenjun , Huang Yushan , Gu Shengchang , Gao Ya , Huang Weihua , Lu Lihua , Wang Xiaohong , Wu Jiasheng , Yin Xiaoxu , Zhu Rongyi , Huang Guodong , Lu Lin , Tang Jingbo , Zheng Yunping , Liu Quan , Zhou Xianqiang , Shan Riqiang , Wang Bo , Fang Mingyan , Jin Xin 
Published: November 2023

AbstractBackgroundWith the advancement of whole‐genome sequencing (WGS) technology, massively parallel sequencing (MPS) remains the mainstream due to its accuracy, low cost, and high throughput. The development of the analytical pipeline corresponding to MPS has always been of great importance. Increasingly large population genomics studies, as a specific type of big data research, pose new challenges for analysis solutions.ResultsHere, we introduce ZBOLT, a comprehensive analysis system that incorporates both software and hardware advancements, making it an appropriate choice for large‐scale population genomic studies that require extensive data processing. In this study, we first evaluate ZBOLT's calling accuracy using the Genome in a Bottle (GIAB) benchmark dataset. Then we apply ZBOLT to a large‐scale population genomics study with 5,616 high sequencing depth samples totaling 1.16Pbp (base pair). As the results show, ZBOLT demonstrates exceptional efficiency and low energy consumption, processing 100Tbp per day and using 1kWh per 100Gbp sequenced sample.ConclusionThis research serves as a valuable reference for analyzing sequencing data from large population cohorts and underscores the significant potential of ZBOLT in large‐scale population genomics studies.
Plant traits associated with seed dispersal by ducks and geese in urban and natural habitats
Authors: Tóth Pál , Green Andy J. , Wilkinson David M. , Brides Kane , Lovas‐Kiss Ádám 
Published: November 2023

AbstractDucks and geese are little studied dispersal vectors for plants lacking a fleshy fruit, and our understanding of the traits associated with these plants is limited. We analyzed 507 faecal samples of mallard (Anas platyrhynchos) and Canada goose (Branta canadensis) from 18 natural and urban wetlands in England, where they are the dominant resident waterfowl. We recovered 930 plant diaspores from 39 taxa representing 18 families, including 28 terrestrial and five aquatic species and four aliens. Mallards had more seeds and seed species per sample than geese, more seeds from barochory and hydrochory syndromes, and seeds that on average were larger and from plants with greater moisture requirements (i.e., more aquatic). Mallards dispersed more plant species than geese in natural habitats. Plant communities and traits dispersed were different between urban (e.g., more achenes) and natural (e.g., more capsules) habitats. Waterfowl can readily spread alien species from urban into natural environments but also allow native terrestrial and aquatic plants to disperse in response to climate heating or other global change. Throughout the temperate regions of the Northern Hemisphere, the mallard is accompanied by a goose (either the Canada goose or the greylag goose) as the most abundant waterfowl in urbanized areas. This combination provides a previously overlooked seed dispersal service for plants with diverse traits.
High‐Pressure/High‐Temperature Synthesis of LnB3.6O7 (Ln=La, Pr) – Two Unique Lanthanoid Borates in a Defective α‐SrB4O7‐Structure‐Type
Authors: Teichtmeister Tobias A. , Widmann Ingo , Bayarjargal Lkhamsuren , Tribus Martina , Heymann Gunter , Wurst Klaus , Huppertz Hubert 
Published: November 2023

AbstractThe orthorhombic phases LaB3.6O7 and PrB3.6O7 were obtained by high‐pressure/high‐temperature syntheses at 11 GPa and temperatures of 1130 °C (LaB3.6O7) as well as 850 °C (PrB3.6O7) using a modified Walker‐type multianvil apparatus. The title compounds crystallize in the space group Pmn21 (no. 31) exhibiting a defective α‐SrB4O7 structure variant with the unit cell parameters a=10.4551(3) Å, b=4.4562(1) Å, c=4.2973(1) Å for LaB3.6O7 and a=10.4305(3) Å, b=4.4257(1) Å, c=4.2815(1) Å for PrB3.6O7. Both compounds were characterized by powder/single‐crystal X‐ray diffraction, vibrational spectroscopy, second harmonic generation, and electron dispersive X‐ray spectroscopy measurements.
Higher anthocyanin intake is associated with lower depressive symptoms in adults with and without major depressive disorder
Authors: Mestrom Annika , Charlton Karen E. , Thomas Susan J. , Larkin Theresa A. , Walton Karen L. , Elgellaie Asmahan , Kent Katherine 
Published: November 2023

AbstractBackgroundMajor depressive disorder (MDD) is a significant cause of disability globally and an emerging body of evidence suggests that dietary components, including flavonoids, may impact depression‐related biochemical pathways. Further research that characterizes dietary intake of flavonoids in diverse population groups, including people with MDD and explores the relationship between flavonoid intake and depression is needed. This study aimed to determine dietary flavonoid and subclass intake and assess the association with depressive symptomatology in a sample of adults with and without MDD.MethodologyParticipants with and without MDD (determined using DSM 5) completed the Depression, Anxiety, and Stress Scale‐21 (DASS‐21). Diet history interviews were analyzed using PhenolExplorer to quantify flavonoid subclasses (flavan‐3‐ols, flavonols, anthocyanins, flavones, flavanones, isoflavones), and total flavonoid intake. Independent t‐tests and linear regression, adjusting for age, sex, and BMI were performed.ResultsParticipants (n = 93; 75% female) had a mean age of 26.0 ± 8.2 years. Participants with MDD had significantly higher DASS‐depression scores (n = 44; DASS‐depression 27.3 ± 9.8) compared to participants without MDD (n = 49; DASS‐depression 3.1 ± 4.4; p < .001). Intakes of total flavonoids and subclasses were similar between groups, except for anthocyanins where participants with MDD reported lower intakes of anthocyanins compared to participants without MDD (median intake: 0.08 mg/day and 11.6 mg/day, respectively; p = .02). In the total sample, higher anthocyanin intake was associated with lower DASS‐depression score (B = ‐4.1; SE = 1.8; 95% CI [−7.7, −0.4]; p = .029).ConclusionIntake of total flavonoids and most subclasses were similar between people with and without MDD. However, a dietary deficit of anthocyanins (found in purple/red fruits and vegetables) was evident in participants with MDD, and higher anthocyanin intake was associated with lower depressive symptomatology in the total sample. Further research in larger samples is warranted to explore if the documented association is independent of MDD status.
Enhancing runoff simulation precision in the critical zone through spatiotemporal interpolation of areal rainfall with matrix decomposition
Authors: Sheng Sheng , Chen Hua , Lin Kangling , Zhou Yanlai , Wang Jinxing , Chen Jie , Xiong Lihua , Guo Shenglian , Xu Chong‐Yu 
Published: November 2023

AbstractModelling hydrological process in the critical zone not only contributes to a better understanding of interactions across different Earth surface spheres but also holds significant practical implications for water resource management and disaster prevention. Rainfall‐runoff simulation in critical zones is particularly challenging due to the amalgamation of temporal and spatial complexity, rainfall variability, and data limitations. As a pivotal input variable of hydrological models, accurate estimation of areal rainfall is critical to successful runoff simulation. However, most estimation methods ignore temporal information, thereby increasing uncertainty in rainfall estimation and constraining the precision of rainfall‐runoff simulation. In this study, the matrix decomposition‐based estimation method (F‐SVD), which considers the spatial and temporal correlation of the rainfall process is employed to estimate areal rainfall. The superiority of the method in producing two‐dimensional rainfall information is evaluated through its application in runoff simulation with the Xin'anjiang model. The simulation results of selected flood events in the Jianxi basin in southeast China, spanning from 2009 to 2019, are compared with those of two widely used rainfall estimation methods, namely Arithmetical Mean (AM) and Thiessen Polygons (TP). The results show that (1) F‐SVD not only produces the highest Pearson correlation coefficient between rainfall and runoff series but also reduces the number of flood events with abnormal rainfall‐runoff relationships; (2) the Xin'anjiang model based on F‐SVD achieves the highest Nash‐Sutcliffe efficiency and lowest Relative Error, and performs best in simulating peak flow and its occurrence time as compared to AM and TP. This study contributes to a finer characterization of watershed rainfall distribution, enhancing the accuracy and sharpness of runoff simulation. It provides reliable data support for critical zone research and offers a scientific foundation for rationally allocating and managing water resources.
Fetal nephrolithiasis: What do we know so far?
Authors: Petrović Oleg , Flajšman Raspor Sanja , Krajina Robert , Ivandić Jelena 
Published: November 2023

SynopsisFetal nephrolithiasis is a rare, benign condition that seems to be predominantly unilateral, more common in males, and can be associated with urinary tract pathology.
Process optimisation and kinetic study for esterification of levulinic acid and n‐butanol using sulfonated titania–zirconia heterogeneous catalyst
Authors: Veluturla Sravanthi , Kottam Nagaraju , P Vandana , Shetty Akul , Shankar Vivitsa 
Published: November 2023

AbstractBackgroundButyl levulinate (BL) was produced by the esterification of levulinic acid (LA) and n‐butanol (BOH) using a sulfonated nanocomposite of titania–zirconia as catalyst. A full factorial design was employed for studying the effects of reaction time, mole ratio and catalyst loading on LA conversion.ResultsThe synthesised catalyst was subjected to various characterisation techniques such as X‐ray diffraction, Fourier transform infrared spectroscopy, Brunauer–Emmett–Teller measurements, thermogravimetric analysis, temperature‐programmed desorption and scanning electron microscopy–energy dispersive X‐ray analysis indicating the presence of a nanocrystalline structure with good surface area and good stability at the operating temperature. The experimental data were analysed using the response surface method, and a complete quadratic regression model was built. The LA conversion was 85.37% for the optimised reaction conditions of 1:7 mole ratio, a catalyst loading of 1 wt% and a reaction time of 5 h at 110 °C. Based on the Langmuir–Hinshelwood–Hougen–Watson model, a kinetic model was developed. The activation energy was found to be 20.4 ± 0.8 kJ mol−1 from an Arrhenius plot. Reusability and leaching results are also reported.ConclusionThe catalyst exhibited good reusability and stability. Sulfonated TiO2–ZrO2 used to catalyse the reaction between LA and BOH to produce BL has proved to be a good candidate as a green catalyst. The results presented play an important part in directing subsequent research and commercialisation activities aimed at valorising LA to fuel additive. © 2023 Society of Chemical Industry (SCI).
A landscape ecology approach: Modeling forest fragmentation with artificial neural networks and cellular‐automata Markov‐chain for improved environmental policy in the southwestern Brazilian Amazon
Authors: Moreira Rodrigo Martins , Lana Marcos , Sieber Stefan , Malheiros Tadeu Fabrício 
Published: November 2023

AbstractLand degradation and forest fragmentation have been prominent issues in the Amazon since the 1970s, primarily driven by the suppression of primary forests due to land use changes. In this study, we propose an innovative approach by integrating artificial neural networks (ANN) and cellular automata Markov chain (CA‐MA) models to predict future land use and assess the associated forest fragmentation using landscape ecology metrics in the Jamari River Basin. The analysis reveals a significant increase in fragmentation between 1985 and 2018, as evidenced by a rise in the number of fragments from 7162 to 28,170. Moreover, we observed a decrease in the core area from approximately 2.5 million hectares to less than 1 million hectares, accompanied by an increase in edge density from 6 to 18 m.ha−1. Additionally, the average distance between fragments expanded from 66 to 95 m. Highlighting the urgency of addressing this issue, our study emphasizes the necessity of exploring effective strategies within the Brazilian public environmental management system. By utilizing various rural policy planning tools, we aim to tackle unsustainable development and mitigate the adverse impacts of land use changes in the region. In conclusion, this research offers an innovative approach that combines ANN and CA‐MA models to predict land use and assess forest fragmentation, shedding light on the alarming trend of land degradation and providing valuable insights for informed decision‐making and sustainable land management practices.