bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti‐/Deicing Membranes with Damage Detection and Fast Healing
Authors: Liu Liming , Chen Shenglong , Hu Yan , Pan Wei , Dong Tianyun , Chen Yuanfen , Lin Lin , Wang Liqiu 
Published: May 2024

AbstractFlexible membrane with good anti‐wettability under giant deformation and fast healing will largely extend its adaptability and life span in anti‐/deicing application. A flexible membrane with significant dynamic water repellency and photo‐/electro‐responsive healing capability is reported, fabricated by combining the covalent grafting of fluorosilane to carbon black (F‐CB) with the optimized ablation difference between thermoplastic polyurethane (TPU) matrix and F‐CB. A rolling angle of below 5° is remained after either being stretching to 1000% strain or 2000 cycles of tensile tests at 400% strain. More importantly, multi‐scale cracks on the membrane can be diagnosed and repaired in real‐time; the healing efficiency reaches above 99% within 90 s even if completely fractured under the effect of both solar irradiation of 0.1 W cm−2 and applied voltage of 20 V; and all‐weather anti‐/deicing has the performance of an icing delay time of 323 s and an ice adhesion strength of <40 kPa, a sharp contrast to the 18 s and 1090 kPa, respectively, for bare metal surface. This work endows anti‐icing membrane with the ability of damage detection and cyclic healing, highly demanded in outdoor anti‐/deicing application that involve inevitable mechanical damages.
Toward 1D Transport in 3D Materials: SOC‐Induced Charge‐Transport Anisotropy in Sm3ZrBi5
Authors: Khoury Jason F. , Han Bingzheng , Jovanovic Milena , Queiroz Raquel , Yang Xiao , Singha Ratnadwip , Salters Tyger H. , Pollak Connor J. , Lee Scott B. , Ong N. P. , Schoop Leslie M. 
Published: May 2024

Abstract1D charge transport offers great insight into strongly correlated physics, such as Luttinger liquids, electronic instabilities, and superconductivity. Although 1D charge transport is observed in nanomaterials and quantum wires, examples in bulk crystalline solids remain elusive. In this work, it is demonstrated that spin‐orbit coupling (SOC) can act as a mechanism to induce quasi‐1D charge transport in the Ln3MPn5 (Ln = lanthanide; M = transition metal; Pn = Pnictide) family. From three example compounds, La3ZrSb5, La3ZrBi5, and Sm3ZrBi5, density functional theory calculations with SOC included show a quasi‐1D Fermi surface in the bismuthide compounds, but an anisotropic 3D Fermi surface in the antimonide structure. By performing anisotropic charge transport measurements on La3ZrSb5, La3ZrBi5, and Sm3ZrBi5, it is demonstrated that SOC starkly affects their anisotropic resistivity ratios (ARR) at low temperatures, with an ARR of ≈4 in the antimonide compared to ≈9.5 and ≈22 (≈32 after magnetic ordering) in La3ZrBi5 and Sm3ZrBi5, respectively. This report demonstrates the utility of spin‐orbit coupling to induce quasi‐low‐dimensional Fermi surfaces in anisotropic crystal structures, and provides a template for examining other systems.
Realizing Weak Light Detection in a 2D Dielectric Switching Hybrid Perovskite Incorporating Dimethylamine
Authors: Wang Yifei , Ye Huang , Guan Qianwen , Wang Peng , Zhang Chengshu , Li Hang , Luo Junhua 
Published: May 2024

Abstract2D organic–inorganic hybrid perovskites (OIHPs) are regarded as potential candidates for the advancement of multifunctional phase‐transition materials due to their ability to integrate flexible functionality and superior electronic features from both organic and inorganic components. However, the development of 2D OIHPs with dielectric switches and weak light detection capability that are crucial for high‐resolution sensing and imaging, remains challenge. Herein, a novel 2D OIHP BDADMAPb2Br7 (1, BDA = 1,4‐butanediamine and DMA = dimethylamine) is presented, featuring a 2D Dion–Jacobson (DJ) bilayered structure incorporated with secondary amine. Upon heating and cooling cycles, 1 demonstrates long‐term reversible dielectric switching properties at 328 K. Meanwhile, 1 also shows compelling semiconductor characteristics, including a low dark current of 2.87 × 10−11 A (10 V), a large switching ratio of 4 × 103, and a high detectivity of 1.3 × 1012 Jones. In addition, the photodetector based on 1 exhibits an excellent weak light detection ability of 340 nW cm−2 at 405 nm. Such a 2D OIHP demonstrates a novel platform for creating multifunctional materials and significantly promotes the development of integrated devices.
Architecture Design of High‐Performance Piezoelectric Energy Harvester with 3D Metastructure Substrate
Authors: Zhao Huan , Liu Xiangbei , Li Yan 
Published: May 2024

AbstractPiezoelectric energy harvesters (PEHs) have drawn considerable attention due to their unique ability to convert ambient mechanical energy to electrical energy. These devices are widely implemented in numerous applications such as wearable technology, structural health monitoring, and renewable energy systems. In this work, a novel approach that seamlessly integrates arbitrary metastructures into the substrate layer of cantilever beam‐based PEHs is presented. The corresponding performance of each PEH design is evaluated via an experimentally validated finite element model. This is the first systematic study to explore 3D metastructures with various unit cell configurations, unit cell numbers, and porosity levels. Compared with the existing PEH designs, implementation of a 3D auxetic metastructure with 85% porosity single unit cell design can demonstrate a substantial enhancement in output power, reaching 48.16 mW, and a high normalized power density (NPD) of 2.1131 µW mm−3 g−2 Hz−1. Results show that there are competing requirements for improving the performance of PEHs. On one hand, low metastructure stiffness is preferred to achieve high power output at low resonant frequency. On the other hand, metastructures designs with low stiffness may induce excessive distortion in the substrate layer, leading to mechanical energy loss. This deformation mechanism adversely affects the mechanical to electrical energy conversion efficiency. Detailed guidelines for designing and manufacturing high‐performance PEHs are discussed in this work.
Voxel Design of Grayscale DLP 3D‐Printed Soft Robots
Authors: Zhang Mengjie , Fan Xiru , Dong Le , Jiang Chengru , Weeger Oliver , Zhou Kun , Wang Dong 
Published: May 2024

AbstractGrayscale digital light processing (DLP) printing is a simple yet effective way to realize the variation of material properties by tuning the grayscale value. However, there is a lack of available design methods for grayscale DLP 3D‐printed structures due to the complexities arising from the voxel‐level grayscale distribution, nonlinear material properties, and intricate structures. Inspired by the dexterous motions of natural organisms, a design and fabrication framework for grayscale DLP‐printed soft robots is developed by combining a grayscale‐dependent hyperelastic constitutive model and a voxel‐based finite‐element model. The constitutive model establishes the relationship between the projected grayscale value and the nonlinear mechanical properties, while the voxel‐based finite‐element model enables fast and efficient calculation of the mechanical performances with arbitrarily distributed material properties. A multiphysics modeling and experimental method is developed to validate the homogenization assumption of the degree of conversion (DoC) variation in a single voxel. The design framework is used to design structures with reduced stress concentration and programmable multimodal motions. This work paves the way for integrated design and fabrication of functional structures using grayscale DLP 3D printing.
A statistical learning approach to pasture, rangeland, forage (PRF) insurance coverage selection
Authors: Zapata Samuel D. , Villavicencio Xavier , Xicay Anderson 
Published: May 2024

AbstractThis study uses statistical learning methods to identify robust coverage alternatives for the Pasture, Rangeland, Forage (PRF) insurance program. Shrinkage and ensemble learning techniques are adapted to the context of the PRF coverage selection process. The out‐of‐sample performance of the proposed methods is evaluated on 116 representative grids throughout Texas during 2018–2022. Ensemble learning methods generated more stable coverage choices compared with the other selection strategies considered. Depending on the target return, a reduction in the prediction error between 5% and 14% was observed. Furthermore, the proposed coverages can provide a broader protection than current coverage choices made by farmers.
Technical note: Capturing shape—Linear measurements and geometric morphometrics of the immature femora
Authors: Stark Sarah 
Published: May 2024

AbstractObjectivesGrowth and developmental studies have been a prominent theme in bioarchaeology. These works traditionally focus on metric measurements of long bone length and age‐at‐death or cross‐sectional geometric studies with the use of computed tomography scans for questions on growth and mobility. However, teasing apart aspects of size and shape have been difficult due to the cylindrical nature of immature long bones. This research investigates the methodological use of surface geometries from linear measurements and geometric morphometric methods (GMM) to answer questions on mobility and allometry during childhood.Materials and MethodsLeft femora were selected from 42 individuals ranging from fetal to 12 years of age from medieval St Gregory's Priory, Canterbury, UK. Femora were digitized with structured‐light‐scanning for auto3dgm analysis and measurements were obtained from physical caliper measurements. Individuals were put into age groups based on biomechanical milestones during this age range.ResultsRatio and GMM confirm hypotheses of allometry and biomechanical milestones. Geometric morphometrics, however, detects more subtle differences in mobility at each age group.DiscussionThe findings of this preliminary study support the potential use of GMM of immature femora, while indicating that the extent in range of mobility that can occur varies at different biological milestones.
Catalytic Refining Lignin‐Derived Monomers: Seesaw Effect between Nanoparticle and Single‐Atom Pt
Authors: Wang Weiyan , Li Shangjian , Qiang Qian , Wu Kui , Pan Xiaoli , Su Wentao , Cai Junyang , Shen Zhigang , Yang Yunquan , Li Changzhi , Zhang Tao 
Published: May 2024

AbstractPt automatically adsorbed on oxygen vacancy of TiO2 via an in situ interfacial redox reaction, resulting in atomically dispersion of Pt on TiO2. In the upgrading of lignin‐derived 4‐propylguaiacol, single‐atom catalyst (SAC) Pt/TiO2−H achieved a conversion of 96.9 % and a demethoxylation selectivity of 93.3 % under 3 MPa H2 at 250 °C for 3 h, markedly different from the performance of nanoparticle counterpart that gave deep deoxygenation selectivity over 99.0 %. The high demethoxylation activity of SAC Pt/TiO2−H is mainly attributed to its weak hydrogen spillover capacity that suppressed the benzene ring hydrogenation and the deep deoxygenation. Additionally, SAC Pt/TiO2−H reduced the energy barrier of CAr−OCH3 bond cleavage and accordingly lowered the Gibbs free energy of the demethoxylation reaction. This facile method could fabricate single‐atom Au, Pd, Ir, and Ru supported on TiO2−H, demonstrating the generality of this strategy for the establishment of a library of SACs. Moreover, SAC exhibited versatile capacity in demethoxylation of different lignin‐derived monomers and high stability. This study showcases the superiority of atomically dispersed metal catalysts for selective demethoxylation reactions and proposes a renewable alternative to fossil‐based 4‐alkylphenols through upgrading of lignin‐derived monomers.
On‐Demand Catalysed n‐Doping of Organic Semiconductors
Authors: Stoeckel Marc‐Antoine , Feng Kui , Yang Chi‐Yuan , Liu Xianjie , Li Qifan , Liu Tiefeng , Jeong Sang Young , Woo Han Young , Yao Yao , Fahlman Mats , Marks Tobin J. , Sharma Sakshi , Motta Alessandro , Guo Xugang , Fabiano Simone , Facchetti Antonio 
Published: May 2024

AbstractA new approach to control the n‐doping reaction of organic semiconductors is reported using surface‐functionalized gold nanoparticles (f‐AuNPs) with alkylthiols acting as the catalyst only upon mild thermal activation. To demonstrate the versatility of this methodology, the reaction of the n‐type dopant precursor N‐DMBI‐H with several molecular and polymeric semiconductors at different temperatures with/without f‐AuNPs, vis‐à‐vis the unfunctionalized catalyst AuNPs, was investigated by spectroscopic, morphological, charge transport, and kinetic measurements as well as, computationally, the thermodynamic of catalyst activation. The combined experimental and theoretical data demonstrate that while f‐AuNPs is inactive at room temperature both in solution and in the solid state, catalyst activation occurs rapidly at mild temperatures (~70 °C) and the doping reaction completes in few seconds affording large electrical conductivities (~10–140 S cm−1). The implementation of this methodology enables the use of semiconductor+dopant+catalyst solutions and will broaden the use of the corresponding n‐doped films in opto‐electronic devices such as thin‐film transistors, electrochemical transistors, solar cells, and thermoelectrics well as guide the design of new catalysts.
Design of PVDF hollow fiber membranes with stable crystalline and porous structure by solvent‐free method
Authors: Wang Qiming , Chen Kaikai , Yue Zhengjie , Zhao Wei , Yan Jingjing , Wu Yanjie , Xiao Changfa 
Published: May 2024

AbstractOne of the critical principles of green chemistry and environmental sustainability is to avoid using harmful solvents in chemical processes. In this study, a novel solvent‐free method was employed to prepare poly (vinylidene fluoride) (PVDF) hollow fiber composite membranes with stable crystalline and porous structures. Utilizing the cold‐hot stretching method, the crystalline structure and orientation of PVDF were effectively redesigned, resulting in improved mechanical and penetration properties of the membrane. Additionally, an investigation into the internal crystalline structure of the PVDF hollow fiber membrane was conducted, focusing on crystalline changes induced by ion‐dipole interactions. Results indicated that the addition of neutral ion‐dipole functional particles (N‐P) promoted the conversion of α crystalline to β crystalline, leading to stable β crystalline and controllable pore sizes in the prepared PVDF hollow fiber membrane. Furthermore, the internal crystalline structure significantly contributed to enhancing the membrane's mechanical properties and penetration performance. Notably, a PVDF hollow fiber with high β crystalline content was achieved through 150% cold‐hot stretching and the addition of 20. wt% N‐P further enhanced the β‐crystalline content in the membrane. This study presents a promising approach for reducing solvent consumption and minimizing environmental impact in the field of environment‐friendly membrane fabrication.
Phase 2 Trial of Deucravacitinib in Psoriatic Arthritis: Biomarkers Associated With Disease Activity, Pharmacodynamics, and Clinical Responses
Authors: FitzGerald Oliver , Gladman Dafna D. , Mease Philip J. , Ritchlin Christopher , Smolen Josef S. , Gao Lu , Hu Yanhua , Nowak Miroslawa , Banerjee Subhashis , Catlett Ian 
Published: May 2024

ObjectiveOur objective was to evaluate the association of serum biomarkers with baseline psoriatic arthritis (PsA) disease activity, pharmacodynamic effects of deucravacitinib on biomarker levels, and the relationship between biomarkers and clinical responses to deucravacitinib.MethodsThe phase 2 trial (ClinicalTrials.gov identifier: NCT03881059) randomly assigned 203 patients with PsA 1:1:1 to placebo, deucravacitinib at 6 mg once daily (QD), or deucravacitinib at 12 mg QD. Serum biomarkers associated with the interleukin 23 (IL‐23) pathway (IL‐17A, β‐defensin [BD‐2], and IL‐19), type I interferon pathway, inflammation, and collagen matrix turnover were measured by immunoassay. Clinical responses (≥75% improvement from baseline in the Psoriasis Area and Severity Index [PASI75] and ≥20% improvement from baseline in American College of Rheumatology criteria [ACR20] responses) were measured at week 16. Hematologic variables were also assessed.ResultsIL‐17A, BD‐2, and IL‐19 had a modest association with PASI scores (r = 0.4, r = 0.56, and r = 0.5, respectively) at baseline. In deucravacitinib groups, IL‐17A, BD‐2, IL‐19, C‐X‐C motif ligand 9 (CXCL9), CXCL10, C‐reactive protein, matrix metalloproteinase 3, and collagen type 4 degradation marker levels were significantly reduced at week 16 versus baseline (P < 0.01); higher levels of IL‐23 pathway–associated biomarkers predicted higher PASI75 and ACR20 response rates in deucravacitinib‐treated patients. Significantly higher PASI75 response rates were seen in patients with high baseline IL‐17A (odds ratio 15.76) and BD‐2 levels (odds ratio 15.41) versus low baseline IL‐17A and BD‐2 levels. Changes in hematologic variables that are characteristic of JAK inhibition were not observed with deucravacitinib.ConclusionDeucravacitinib significantly impacted biomarkers associated with Tyk2 signaling pathways of key inflammatory cytokines, including IL‐23 and type I interferon, and those related to collagen matrix turnover. These biomarkers may predict treatment responses to deucravacitinib.image
Specialization of anterior and posterior hippocampal functional connectivity differs in autism
Authors: Kember J. , Patenaude P. , Sweatman H. , Van Schaik L. , Tabuenca Z. , Chai X. J. 
Published: May 2024

AbstractStructural and functional differences in the hippocampus have been related to the episodic memory and social impairments observed in autism spectrum disorder (ASD). In neurotypical individuals, hippocampal–cortical functional connectivity systematically varies between anterior and posterior hippocampus, with changes observed during typical development. It remains unknown whether this specialization of anterior–posterior hippocampal connectivity is disrupted in ASD, and whether age‐related differences in this specialization exist in ASD. We examined connectivity of the anterior and posterior hippocampus in an ASD (N = 139) and non‐autistic comparison group (N = 133) aged 5–21 using resting‐state functional magnetic resonance imaging (MRI) data from the Healthy Brain Network (HBN). Consistent with previous results, we observed lower connectivity between the whole hippocampus and medial prefrontal cortex in ASD. Moreover, preferential connectivity of the posterior relative to the anterior hippocampus for memory‐sensitive regions in posterior parietal cortex was reduced in ASD, demonstrating a weaker anterior–posterior specialization of hippocampal–cortical connectivity. Finally, connectivity between the posterior hippocampus and precuneus negatively correlated with age in the ASD group but remained stable in the comparison group, suggesting an altered developmental specialization. Together, these differences in hippocampal–cortical connectivity may help us understand the neurobiological basis of the memory and social impairments found in ASD.
Electrolyte Stabilizes Zn2+ Reduction Reaction Process: Solvation, Interface and Kinetics
Authors: Xu Yan , Guo Zhaohe , Song Ming , Xu Xuena , Wan Hongri , Sun Limei , Chao Dongliang , Zhou Wanhai 
Published: May 2024

AbstractAqueous zinc‐ion batteries (ZIBs), lauded for their low cost, eco‐friendliness, and high safety, have garnered significant attention. However, their commercial viability is hindered by the challenges of dendrite growth and side reactions during the Zn2+ reduction reaction process. Electrolyte as the indispensable component of batteries has a close relationship with the issues mentioned above. With the feature of simplicity, effectiveness, and scalability, regulating electrolytes is a particularly promising, feasible, and straightforward approach to stabilizing the Zn anode. The solvation design with less solvated water, interface optimization with water‐poor and pH‐stable interface, and kinetics regulation with fast Zn2+ transport, uniform Zn2+ flux, and orientational Zn growth can contribute to uniform Zn deposition with restrained corrosion. This review encapsulates the cutting‐edge advancements in electrolytes to stabilize the Zn anode. The mechanisms underlying these advancements, encompassing solvation structure design, Zn‐electrolyte interface optimization, and kinetics regulation are elucidated. Finally, this paper outlines current challenges and prospects in electrolyte development for ZIBs, providing valuable insights for future endeavors in this field.
Insight into CO2 capture by aqueous solutions of N,N‐diethylethanolamine promoted with potassium salts of amino acids
Authors: Rawate Hitesh D. , Vaidya Prakash D. 
Published: May 2024

AbstractN,N‐Diethylethanolamine (DEEA) is a potential high‐capacity CO2‐capturing solvent. The CO2 reactivity of DEEA can be improved by the addition of rate promoters. Both equilibrium CO2 solubility and desorption rate are also influenced by promoters. In this work, the effect of promotion of DEEA with three amino acid salts, potassium arginate (PA), potassium prolinate (PP), and potassium glycinate (PG), was investigated. In a stirred cell reactor, CO2 reactivity of the promoted solutions was studied at 303 K. Rate promotion with PA was most effective; this was then followed by PP and PG. The value of the liquid‐side mass transfer coefficient (0.005 cm/s) for CO2 absorption in water inside the stirred cell was found. Equilibrium CO2 solubility in the promoted mixtures was measured. Empirical equations that predicted solubility data (accuracy 99%) were proposed. Desorption trials were performed at 363 K. PA, PP, and PG lowered sensible energy constraint by 59%, 32%, and 30%. PA was most‐suited for faster desorption of aqueous solutions of DEEA. Overall, potassium salts of arginine, proline, and glycine were promising candidates for improving the performance of the tertiary amine DEEA. Finally, catalytic desorption of loaded solutions of DEEA was studied and it was found that alumina was a promising catalyst for faster desorption.
A three‐dimensional, discrete‐continuum model of blood pressure in microvascular networks
Authors: Sweeney Paul W. , Walsh Claire , Walker‐Samuel Simon , Shipley Rebecca J. 
Published: May 2024

AbstractWe present a 3D discrete‐continuum model to simulate blood pressure in large microvascular tissues in the absence of known capillary network architecture. Our hybrid approach combines a 1D Poiseuille flow description for large, discrete arteriolar and venular networks coupled to a continuum‐based Darcy model, point sources of flux, for transport in the capillary bed. We evaluate our hybrid approach using a vascular network imaged from the mouse brain medulla/pons using multi‐fluorescence high‐resolution episcopic microscopy (MF‐HREM). We use the fully‐resolved vascular network to predict the hydraulic conductivity of the capillary network and generate a fully‐discrete pressure solution to benchmark against. Our results demonstrate that the discrete‐continuum methodology is a computationally feasible and effective tool for predicting blood pressure in real‐world microvascular tissues when capillary microvessels are poorly defined.
Photo‐activated Carbon dots (CDs) as Catalysts in the Knoevenagel Condensation: A Mechanistic Study by Dual‐Mode Monitoring via ESI‐MS
Authors: Cosentino Francesca , Michenzi Cinzia , Di Noi Alessia , Salvitti Chiara , Pepi Federico , de Petris Giulia , Chiarotto Isabella , Troiani Anna 
Published: May 2024

AbstractCarbon dots (CDs) obtained from 5‐(hydroxymethyl)furfural (5‐HMF) were activated by a 365 nm‐UV irradiation source and employed in the Knoevenagel condensation to investigate their photocatalytic mechanism. To this end, electrospray ionization mass spectrometry (ESI‐MS) was used to monitor the time progress of the condensation and follow the formation of the final product in positive and negative ion modes at once. The intervention of the superoxide radical anion in the photocatalytic mechanism of CDs was highlighted.