bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thiol‐ene‐Based 3D Printing of Bioresorbable Fumarate‐Based ABA Triblock Copolyester Elastomers
Authors: Yeazel‐Klein Taylor Rae , Davis Anna Gray , Becker Matthew Leonard 
Published: January 2023

AbstractAdditive manufacturing continues to evolve as a powerful tool for the fabrication of tissue‐engineered scaffolds and medical devices. With this evolution, a library of materials with a broad range of mechanical properties and degradation behaviors is needed. Photochemically crosslinked polymeric systems typically possess a network of covalent bonds which limit their degradability and serve to hinder the clinical translation of medical devices made from these materials. In this work, the use of ABA triblock poly(propylene fumarate‐b‐γ‐methyl‐ε‐caprolactone‐b‐propylene fumarate) copolymers coupled with a degradable, thiol‐based crosslinking system on a continuous liquid interface production (CLIP) digital light processing (DLP) 3D printer is reported. The printed elastomeric structures experience a range of mechanical behaviors (strain at failure spanning from 55% to 290%) and degradation behavior that is dependent on the stoichiometry of the individual blocks within the ABA copolymer and the alkene‐to‐thiol crosslinking ratios.
Wearable Platform for Low‐Dose Inhaled Nitric Oxide Therapy
Authors: Mazur Federico , Lisi Fabio , Ma Zhipeng , Chandrawati Rona 
Published: January 2023

AbstractThe ongoing COVID‐19 pandemic has been a daunting challenge for healthcare systems worldwide. The World Health Organization has recommended various measures to reduce or limit the spread of the virus, one of which includes the use of face masks. This increase in their demand has provided a unique opportunity to improve the technology by offering, in addition to their inherent protection, therapeutic benefits. One such benefit involves inhaled nitric oxide (iNO) therapy. iNO has proven to be a beneficial therapeutic in patients with acute, hypoxemic respiratory failure and lung injury. Specifically, its potential application stems from its ability to rapidly increase oxygen partial pressure in arterial blood. However, iNO treatments generally require pressurized gas cylinders which are coupled with high costs and lack of portability. A face mask which can deliver therapeutic NO is developed using humidity‐triggered NO‐releasing nanoparticles. This platform can deliver a low dose of 2.1–2.5 ppm NO for 90 min in a sustained manner. Moreover, it can be stored for extended periods of time and can be easily transported due to its light weight. This NO mask has the potential to alleviate the strain that affects financially limited healthcare systems in developing regions.
Direct Writing of Liquid Metal onto an Electrospun Graphene Oxide Composite Polymer Nanofiber Membrane for Robust and Stretchable Electrodes
Authors: Wu Yi‐Gen , Wang Zhong‐Bao , Xu Jin‐Bin , Chen Zhuo , Zeng Guo‐Long , Xu Zhen‐Jin , Zhou Jia‐Hong , Chen Xin‐Qi , Tan Qiu‐Lin , Chen Qin‐Nan , Yang Yang , Chen Song‐Yue , Wang Ling‐Yun , Wu De‐Zhi 
Published: January 2023

AbstractHighly stretchable electrodes with electrically robust behavior are critical for wide applications of soft robots, electronic skins, and flexible sensors. However, it remains challenging to fabricate such electrodes with traditional fabrication methods, such as lithography, conductive composite material synthetization, stencil printing, and microchannel injection. Herein, a facile method is proposed to construct robust and stretchable electrodes by direct‐written liquid metal (LM) onto a predeposited interface bonding layer, which greatly improves the interfacial force between the LM and substrate. An electrospun graphene oxide/thermoplastic polyurethane composite nanofiber membrane is used as the bonding layer, which provides rich –OH on the interface and in situ forming of hydrogen bond (H‐bond) with the LM oxide layer. A prototype electrode shows stretchability of 580%. The resistance remains stable that varies from 2.8 to 19.3 Ω at 500% elongation, and varies slightly after 7500 stretching cycles under 50% elongation, from 2.6–4.0 to 4.4–6.4 Ω. The fabrication technique is demonstrated with applications in stretchable circuit board assemblies and stretchable electronic cables, indicating a potential effective method for fabricating high‐performance stretchable electrodes.
Porous PDMS‐Based Microsystem (ExoSponge) for Rapid Cost‐Effective Tumor Extracellular Vesicle Isolation and Mass Spectrometry‐Based Metabolic Biomarker Screening
Authors: Marvar Joseph , Kumari Abha , Onukwugha Nna‐Emeka , Achreja Abhinav , Meurs Noah , Animasahun Olamide , Roy Jyotirmoy , Paserba Miya , Raju Kruthi Srinivasa , Fortna Shawn , Ramnath Nithya , Nagrath Deepak , Kang Yoon‐Tae , Nagrath Sunitha 
Published: January 2023

AbstractPolydimethylsiloxane (PDMS) is an inexpensive robust polymer that is commonly used as the fundamental fabrication material for soft‐lithography‐based microfluidic devices. Owing to its versatile material properties, there are some attempts to use PDMS as a porous 3D structure for sensing. However, reliable and easy fabrication has been challenging along with the inherent hydrophobic nature of PDMS hindering its use in biomedical sensing applications. Herein, a cleanroom‐free inexpensive method to create 3D porous PDMS structures, “ExoSponge” and the effective surface modification to functionalize its 3D porous structure is reported. The ability of ExoSponge to recover cancer‐associated extracellular vesicles (EVs) from complex biological samples of up to 10 mL in volume is demonstrated. When compared to ultracentrifugation, the ExoSponge showes a significant increase in cancer EV isolation of more than 210%. Targeted ultra‐high pressure liquid chromatography‐tandem mass spectrometry (LC‐MS/MS) is further employed to profile 70 metabolites in the EVs recovered from the lung cancer patient's plasma. The resulting profiles reveal the potential intraexosomal metabolite biomarker, phenylacetylglutamine (PAG), in non‐small cell lung cancer. The high sensitivity, simple usage, and cost‐effectiveness of the ExoSponge platform creates huge potential for rapid, economical and yet specific isolation of exosomes enabling future diagnostic applications of EVs in cancers.
Conductive Micropatterns Containing Photoinduced In Situ Reduced Graphene Oxide Prepared by Ultraviolet Photolithography
Authors: Yi Mei , Wang Jing , Li Ang , Xin Yangyang , Pang Yulian , Zou Yingquan 
Published: January 2023

AbstractHerein, one kind of conductive patterned film with high resolution comprised of reduced graphene oxide (RGO) is prepared by the ultraviolet photolithography technique. RGO working as a conductive filler greatly improves the conductivity of films and is formed through the photoinduced in situ reduction of graphene oxide (GO) added to the photoresist of the patterned films. This photoreduction method is very eco‐friendly and efficient with a reduction time of <20 min. Furthermore, the effect of various factors on the conductivity of the films is investigated in detail, and appropriate conditions are selected to optimize the photoreduction of GO to obtain the best conductivity. The maximum conductivity of the fabricated films is 9.90 S cm−1, and micropatterns can reach 0.98 S cm−1. While photoinduced in situ reduction facilitates the dispersion of RGO in the photoresist, the photoresist also serves as an encapsulant to avoid the contact of RGO with oxygen and moisture in the air, which enables the conductive films and micropatterns to have excellent storage stability and suitability for various substrates, especially flexible substrates. Hence, a feasible strategy is offered for the preparation of conductive films and micropatterns with promising prospects in the field of flexible electronic devices.
Facile Preparation of Metallic Sites Anchored Nanocarbon Materials for Electrocatalysis
Authors: Liu Qing , Xu Yida , Zhao Yingxuan , Wang Kai , Liang Chenjia , Zhao Siyuan , Wang Xianghao , Guo Xiangke , Xue Nianhua , Ding Weiping 
Published: January 2023

AbstractHerein, a novel method, heat mechanochemical synthesis (HMCS), is reported for facile and scalable preparation of electrocatalysts with metallic sites anchored on carbon materials. The method simultaneously provides mechanical energy and heat to drive reaction, by which target metal atoms are efficiently trapped in N‐doped and defect‐rich carbon that prepared in advance (NC). The advantages of this method are: (1) high contents of metals at the outermost surface; (2) unique metal sites formed under collisions with mechanical energy; and (3) not annealed at high temperatures, which would retain some unique active sites on the materials. A series of unitary transition metal (Cr, Mn, Fe, Co, Ni, Cu, or Zn) superficially anchored carbons are obtained via the HMCS. More than this, it is quite convenient to prepare multiple metals, such as combinations among these metals, highly dispersed and anchored on the carbon materials in one time. As a representative, the as‐prepared Fe‐NC (denoted as FeNCHM in context) is investigated in detail as catalyst for ORR and Zn‐air battery applications. The authors envision that the method of HMCS provides a good support of surface engineering for preparation of metals sites containing carbon at large scale.
Photonic Band Inversion and Absorption Enhancement in Dirac Semi‐Metal Tamm Plasmon Multilayer System
Authors: Meghna C. H. , Mathew Vincent 
Published: January 2023

AbstractTopological photonics is becoming increasingly important due to its possibility to manipulate light with topological phases. Constrained by tunable material, the concept of the topological phase of light is less employed for the realization of terahertz (THz) devices. Incorporating tunable plasmonic materials with topological photonic structures can promote topological protection at the THz frequency. Here the topological phase transition in the terahertz bands is demonstrated by integrating Dirac semi‐metal with topological photonic crystal. This work proposes photonic band inversion induced frequency splitting and absorption enhancement in bulk Dirac semi‐metal (BDS) based Tamm plasmon multilayer system. The enhancement in absorption is achieved by designing a one‐dimensional topological edge state such that the combination with the Tamm plasmon state provides topological protection to the entire BDS–photonic crystal heterostructure. The proposed structure undergoes band inversion, a topological transition in the photonic band structure. These results may facilitate the realization of terahertz topological effects and contribute to the goal of topological protection in sensing applications.
Perovskite CsPbBr3 Single‐Crystal Detector Operating at 1010 Photons s−1 mm−2 for Ultra‐High Flux X‐ray Detection
Authors: Pan Lei , Pandey Indra Raj , Miceli Antonino , Klepov Vladislav V. , Chung Duck Young , Kanatzidis Mercouri G. 
Published: January 2023

AbstractSemiconductors for detecting hard radiation are confronted with considerable problems when operating at high photon fluxes. A perovskite CsPbBr3 single‐crystal detector capable of operating at X‐ray fluxes of up to 1010 photons s−1 mm−2 with beam area ≤ 0.25 mm2 at 58.61 keV for current‐mode X‐ray detection is reported. The spectrometer‐grade melt‐grown CsPbBr3 detectors show a gamma‐ray energy resolution of ~7.5% at 122 keV for 57Co and dark current as low as 4.3 nA (0.5 nA mm−2) at a reverse bias voltage of 200 V (118 V mm−1). The detector is tested at X‐ray energies of 8.2, 10, and 58.61 keV at a synchrotron light source under a reverse bias voltage of up to 1000 V (588 V mm−1). Under a sufficiently high bias voltage and within several hundreds of seconds X‐ray exposure, good photocurrent linearity (goodness of fit R2 > 0.99) and reproducibility are obtained up to a flux of ≈1010 photons s−1 mm−2 at beam area 0.25 mm2 with Lower Limit of Detection of ≈105 photons s−1 mm−2 and Charge Collection Efficiency of ≈100% for 58.61 keV X‐rays. Accordingly, wide application of CsPbBr3 detectors in high‐flux X‐ray detection is anticipated.
Forecasting Catalytic Property‐Performance Correlations for CO2 Hydrogenation to Methanol via Surrogate Machine Learning Framework
Authors: Tripathi Komal , Gupta Vrinda , Awasthi Varsha , Pant Kamal Kishore , Upadhyayula Sreedevi 
Published: January 2023

AbstractThe hydrogenation of CO2 to methanol has been studied by several researchers owing to its two significant merits, namely, mitigation of CO2 emissions and production of renewable fuel. Consequently, numerous experiments have been reported for carbon‐neutral methanol synthesis over copper‐based catalysts over the past few years. However, it is very expensive and time‐consuming to always observe reaction changes with respect to input parameters (operating conditions and catalytic properties) experimentally. Herein, this study develops an ultrafast machine learning (ML) based framework to predict CO2 conversion and methanol selectivity by comprehensive knowledge extraction (extensive database construction) from existing published literature. Among various ML algorithms, artificial neural networks (ANNs) exhibit best accuracy with R2test values of 0.885 and 0.861 for CO2 conversion and methanol selectivity, respectively. Subsequently, the efficacy and fidelity of developed neural networks are depicted by satisfactory performance (R2 ≥ 0.80) for majority of unseen test datasets (literature‐based as well as the experimental dataset for Cu/ZnO/Al2O3 catalyst). Finally, this work concludes that this ML‐based concept allows to uncover catalytic property–performance correlations hidden in large body of existing experimental research. This offers an open and generic platform for a major breakthrough of ML in heterogeneous catalysis which can help in planning future experiments.
Bifunctional Nanostructured Palladium/MoSx Electrocatalyst for Cathode Hydrogen Evolution Reaction PEM Water Electrolysis and Oxygen Reduction Reaction
Authors: Kagkoura Antonia , Karamoschos Nikolaos , Perivoliotis Dimitrios K. , García Alexis Piñeiro , Gracia‐Espino Eduardo , Tasis Dimitrios , Tagmatarchis Nikos 
Published: January 2023

AbstractThe creation of effective Pd‐based architectures with numerous electrocatalytic active sites and efficient charge transfer is of key importance for improving the electrocatalytic performance in water electrolyzer and fuel cell applications. On the other hand, MoS2, possessing multiple electrocatalytic active sites, can act both as support and booster to Pd‐based electrocatalytic structures. Herein, MoSx@Pd hybrids were successfully synthesized by using a one‐pot liquid phase solvothermal strategy with stoichiometric excess of Pd. The optimized MoSx@Pd proves to be an excellent bifunctional electrocatalyst for both hydrogen evolution reaction and oxygen reduction reaction (ORR). Optimized MoSx@Pd operates the process for hydrogen evolution at the same potential as Pt/C and achieves a low overpotential of 76 mV at −10 mA cm−2 due to improved reaction kinetics and charge transfer processes between Pd and MoS2. On top of that, MoSx@Pd exhibits excellent performance and stability as cathode electrocatalyst in a polymer electrolyte membrane water electrolyzer. Simultaneously, the bifunctional electrocatalyst shows enhanced electrocatalytic ORR activity and stability by maintaining 93% of its initial activity outperforming commercial Pt/C. Finally, rotating ring disk electrode analysis reveals that ORR proceeds through the energy efficient 4e− pathway, with water being the main product, rendering MoSx@Pd a promising component for fuel cells.
Machine Learning Regression Model for Predicting the Formation Energy of Nonlinear Optical Crystals
Authors: Fan Zhen , Sun Zhixin , Wang Ai , Yin Yaohui , Li Hui , Jin Guangyong , Xin Chao 
Published: January 2023

AbstractNonlinear optical crystals have been a key material in lasers due to their excellent frequency conversion properties. The search for new nonlinear crystals has been extremely active due to the inherent drawbacks of existing nonlinear crystals, such as the low laser damage threshold of infrared nonlinear crystals and the phenomenon of two‐photon absorption. The stability of a material can be characterized by calculating the formation energy, and machine learning (ML) is currently the most mainstream tool to explore materials. In this paper, the digital features of nonlinear crystals are established by using only the component information. Based on the low‐variance and cross‐validated recursive feature elimination (RFECV), 11 features with strong correlation are obtained for model training. Among them, the two features related to electronegativity account for 71.44% of all features, and become the most critical factor for the formation energy predicted by the model. Three ML regression models have been proposed to predict the formation energy of nonlinear crystals. Among them, the gradient boosting regression model shows excellent prediction performance with R2 = 0.939, RMSE = 0.205, and MAE = 0.132 eV per atom. The model provides a useful tool for fast and low‐cost prediction of nonlinear crystal formation energy.
Single‐Cell Transcriptomic Analysis of Primary and Metastatic Tumor Ecosystems in Esophageal Squamous Cell Carcinoma
Authors: Jia Yongxu , Zhang Baifeng , Zhang Chunyang , Kwong Dora Lai‐Wan , Chang Zhiwei , Li Shanshan , Wang Zehua , Han Huiqiong , Li Jing , Zhong Yali , Sui Xin , Fu Li , Guan Xinyuan , Qin Yanru 
Published: January 2023

AbstractLymph node metastasis, the leading cause of mortality in esophageal squamous carcinoma (ESCC) with a highly complex tumor microenvironment, remains underexplored. Here, the transcriptomes of 85 263 single cells are analyzed from four ESCC patients with lymph node metastases. Strikingly, it is observed that the metastatic microenvironment undergoes the emergence or expansion of interferon induced IFIT3+ T, B cells, and immunosuppressive cells such as APOC1+APOE+ macrophages and myofibroblasts with highly expression of immunoglobulin genes (IGKC) and extracellular matrix component and matrix metallopeptidase genes. A poor‐prognostic epithelial‐immune dual expression program regulating immune effector processes, whose activity is significantly enhanced in metastatic malignant epithelial cells and enriched in CD74+CXCR4+ and major histocompatibility complex (MHC) class II genes upregulated malignant epithelia cells is discovered. Comparing with primary tumor, differential intercellular communications of metastatic ESCC microenvironment are revealed and furtherly validated via multiplexed immunofluorescence and immunohistochemistry staining, which mainly rely on the crosstalk of APOC1+APOE+ macrophages with tumor and stromal cell. The data highlight potential molecular mechanisms that shape the lymph‐node metastatic microenvironment and may inform drug discovery and the development of new strategies to target these prometastatic nontumor components for inhibiting tumor growth and overcoming metastasis to improve clinical outcomes.
Targeting GSTP1 as Therapeutic Strategy against Lung Adenocarcinoma Stemness and Resistance to Tyrosine Kinase Inhibitors
Authors: Wang Si‐Qi , Chen Jun‐Jiang , Jiang Yuchen , Lei Zi‐Ning , Ruan Ye Chun , Pan Yihang , Yam Judy Wai Ping , Wong Maria Pik , Xiao Zhi‐Jie 
Published: January 2023

AbstractGlutathione S‐transferase pi (GSTP1), a phase II detoxification enzyme, is known to be overexpressed and mediates chemotherapeutic resistance in lung cancer. However, whether GSTP1 supports cancer stem cells (CSCs) and the underlying mechanisms in lung adenocarcinoma (LUAD) remain largely unknown. This study unveiled that GSTP1 is upregulated in lung CSCs and supports tumor self‐renewal, metastasis, and resistance to targeted tyrosine kinase inhibitors of LUAD both in vitro and in vivo. Mechanistically, CaMK2A (calcium/calmodulin‐dependent protein kinase 2 isoform A)/NRF2 (nuclear factor erythroid 2‐related factor 2)/GSTP1 is uncovered as a regulatory axis under hypoxia. CaMK2A increased GSTP1 expression through phosphorylating the Sersine558 residue of NRF2 and promoting its nuclear translocation, a novel mechanism for NRF2 activation apart from conventional oxidization‐dependent activation. Upregulation of GSTP1 in turn suppressed reactive oxygen species levels and supported CSC phenotypes. Clinically, GSTP1 analyzed by immunohistochemistry is upregulated in a proportion of LUAD and serves as a prognostic marker for survival. Using patient‐derived organoids from an ALK‐translocated LUAD, the therapeutic potential of a specific GSTP1 inhibitor ezatiostat in combination treatment with the ALK inhibitor crizotinib is demonstrated. This study demonstrates GSTP1 to be a promising therapeutic target for long‐term control of LUAD through targeting CSCs.
Design of Imide Oligomer‐Mediated MOF Clusters for Solar Cell Encapsulation Systems by Interface Fusion Strategy
Authors: Wu Minghong , Li Jiaxin , Zhang Xi , Liu Shumei , Zhao Jianqing , Xie Weiqi 
Published: January 2023

AbstractDielectric encapsulation materials are promising for solar cell areas, but the unsatisfactory light‐management capability and relatively poor dielectric properties restrict their further applications in photovoltaic and microelectronic devices. Herein, an interface fusion strategy to engineer the interface of MOF (UiO‐66‐NH2) with anhydride terminated imide oligomer (6FDA‐TFMB) is designed and a novel MOF cluster (UFT) with enhanced forward scattering and robust porosity is prepared. UFT is applied as an optical and dielectric modifier for bisphenol A epoxy resin (DGEBA), and UFT epoxy composites with high transmittance (>80%), tunable haze (45–58%) and excellent dielectric properties can be prepared at low UFT contents (0.5–1 wt%), which delivers an optimal design for dielectric encapsulation systems with efficient light management in solar cells. Additionally, UFT epoxy composites also show excellent UV blocking, and hydrophobic, thermal and mechanical properties. This work provides a template for the synthesis of covalent bond‐mediated nanofillers and for the modulation of haze and dielectric properties of dielectric encapsulation materials for energy systems, semiconductors, microelectronics, and more.
A H2O2‐Supplied Supramolecular Material for Post‐irradiated Infected Wound Treatment
Authors: Du Peidong , Shen Yanzhe , Zhang Baoli , Li Shan , Gao Minzheng , Wang Ting , Ding Xiaokang , Yu Bingran , Wang Zhen‐Gang , Xu Fu‐Jian 
Published: January 2023

AbstractPhotodynamic therapy (PDT) is a light triggered therapy by producing reactive oxygen species (ROS), but traditional PDT may suffer from the real‐time illumination that reduces the compliance of treatment and cause phototoxicity. A supramolecular photoactive G‐quartet based material is reported, which is self‐assembled from guanosine (G) and 4‐formylphenylboronic acid/1,8‐diaminooctane, with incorporation of riboflavin as a photocatalyst to the G4 nanowire, for post‐irradiation photodynamic antibacterial therapy. The G4‐materials, which exhibit hydrogel‐like properties, provide a scaffold for loading riboflavin, and the reductant guanosine for the riboflavin for phototriggered production of the therapeutic H2O2. The photocatalytic activity shows great tolerance against room temperature storage and heating/cooling treatments. The riboflavin‐loaded G4 hydrogels, after photo‐irradiation, are capable of killing gram‐positive bacteria (e.g., Staphylococcus aureus), gram‐negative bacteria (e.g., Escherichia coli), and multidrug resistant bacteria (methicillin‐resistant Staphylococcus aureus) with sterilization ratio over 99.999%. The post‐irradiated hydrogels also exhibit great antibacterial activity in the infected wound of the rats, revealing the potential of this novel concept in the light therapy.