bluuebunny/crossref_metadata_2025_split huggingface dataset:
Use of Biologic and Biosynthetic Mesh for Ventral Hernia Repair in Current Practice
Authors: Mullens Cody L. , Schoel Leah , McGee Michael F. , Ehlers Anne P. , Telem Dana , Howard Ryan 
Published: December 2024

ImportanceOriginally developed for use in contaminated fields, there is growing evidence against the use of biologic and biosynthetic mesh in ventral hernia repair. However, its prevalence and patterns of use in current practice are largely unknown.ObjectivesTo describe the prevalence of biologic and biosynthetic mesh use in ventral hernia repair and to identify factors associated with its use.Design, Setting, and ParticipantsThis retrospective cohort study used a statewide clinical registry in Michigan to identify adults who underwent mesh-based ventral hernia repair between January 1, 2021, and December 31, 2023. Data analysis was performed from February to May 2024.ExposuresUse of biologic or biosynthetic mesh vs synthetic mesh.Main Outcomes and MeasuresThe main outcome was use of biologic or biosynthetic mesh, abstracted directly from the operative report. Multivariable logistic regression was used to identify factors associated with use of biologic or biosynthetic mesh.ResultsA total of 10 838 patients (mean [SD] age, 55.7 [14.0] years; 4619 [42.6%] female) who underwent mesh-based ventral hernia repair were identified, among whom 1174 repairs (10.8%) were performed with biologic or biosynthetic mesh and 9664 (89.2%) were performed with synthetic mesh. Of the 1174 cases using biologic or biosynthetic mesh, 1023 (87.1%) had a clean wound classification and 1039 (88.5%) were performed electively. In multivariable logistic regression, wound contamination was associated with increased odds of biologic or biosynthetic mesh use (clean-contaminated: adjusted odds ratio [aOR], 2.17 [95% CI, 1.62-2.89]; contaminated: aOR, 2.95 [95% CI, 1.63-5.34]; dirty or infected: aOR, 36.22 [95% CI, 12.20-107.56]). Other operative factors associated with increased odds of biologic or biosynthetic mesh use included urgent or emergent surgical priority (aOR, 1.69 [95% CI, 1.33-2.16]), laparoscopic or robotic approach (aOR, 1.31 [95% CI, 1.15-1.50]), larger hernia width (aOR, 1.03 [95% CI, 1.01-1.04] per centimeter), and use of myofascial release (aOR, 2.10 [95% CI, 1.64-2.70]).Conclusions and RelevanceIn this large cohort of patients undergoing ventral hernia repair, 1 in 10 mesh-based repairs was performed with biologic or biosynthetic mesh. Although urgent or emergent repair and wound contamination were associated with increased odds of biologic or biosynthetic mesh use, nearly 90% of biologic and biosynthetic mesh use occurred in elective repairs with clean wound classifications. These results raise questions regarding the appropriateness of its application in current practice.
Structurally Colored Physically Unclonable Functions with Ultra‐Rich and Stable Encoding Capacity
Authors: Esidir Abidin , Ren Miaoning , Pekdemir Sami , Kalay Mustafa , Kayaci Nilgun , Gunaltay Nail , Usta Hakan , Huang Xian , Onses Mustafa Serdar 
Published: December 2024

AbstractIdentity security and counterfeiting assume a critical importance in the digitized world. An effective approach to addressing these issues is the use of physically unclonable functions (PUFs). The overarching challenge is a simultaneous combination of extremely high encoding capacity, stable operation, practical fabrication, and a widely available readout mechanism. Herein this challenge is addressed by designing an optical PUF via exploiting the thickness‐dependent structural color formation in nanoscopic films of ZnO. The structural coloration ensures authentication using widely available bright‐field‐based optical readout, whereas the metal oxide provides a high degree of structural stability. True physical randomness in spatial position is achieved by physical vapor deposition of ZnO through stencil masks that are fabricated by pore formation in polycarbonate membranes via photothermal processing of stochastically positioned plasmonic nanoparticles. Structural coloration emerges from thin film interference as confirmed via simulation studies. The rich color variation and stochastic definition of domain size and geometry result in chaotic features with an encoding capacity that approaches (6.4 × 105)(2752×2208). Deep learning‐based authentication is further demonstrated by transforming these chaotic features into unbreakable codes without field limitations. This ultra‐rich encoding capacity, coupled with outstanding thermal and chemical stability, forms a new cutting edge for state‐of‐the‐art PUF‐based encoding systems.
Single‐Cell Isolation Chip Integrated with Multicolor Barcode Array for High‐Throughput Single‐Cell Exosome Profiling in Tissue Samples
Authors: Wang Chao , Zhang Yu , Wang Jianbo , Han Yunrui , Wang Yihe , Sun Mingyuan , Liang Yanbo , Huang Miao , Yu Yang , Hu Huili , Liu Hong , Han Lin 
Published: December 2024

AbstractExosomes, functional biomarkers involved in cancer progression, have gained widespread attention for promoting tumor formation, growth, and metastasis. Current bulk exosome detections in bodily fluids enable cancer functional analysis, but average secretion levels from cell populations, losing parent cell information and ignoring exosome heterogeneity from diverse cell subgroups, necessitating an effective platform for analyzing single‐cell exosome functional heterogeneity. Here, a high‐throughput platform is presented, capable of efficient single‐cell isolation and multi‐color exosome phenotype analysis, as well as quantifying trace exosomes secreted by single cells. Photothermal‐driven single‐cell chips achieve significant single‐cell isolation efficiency (≈97%) within 5 min, facilitating the ultra‐high throughput single‐cell exosome analysis. By conducting mass spectrometry and protein interaction of breast cancer exosome phenotypic proteins, key exosome phenotypes are identified. Tens of thousands of single cells from breast cancer cell lines, and clinical tissues are analyzed, revealing various subgroup differences. The study finds more CD44 and EGFR co‐expressing exosome subgroups in breast cancer cell lines, while immune‐evasion PD‐L1 high‐phenotype exosome subgroups are primarily presented in complex tumor microenvironments, especially in HER2‐positive tissues. This platform offers powerful single‐cell isolation, exosome quantification, and phenotypic analysis capabilities, making it a powerful tool for advancing single‐cell exosome analysis in cancer research.
Dimethylamine Bismuth Iodide: A Lead‐Free Perovskite Enabling Ultra‐Sensitive UVC Photodetection with Low Operating Voltage and High Detectivity
Authors: Ajayakumar Avija , Sławek Andrzej , Muthu Chinnadurai , Dev Amarjith V. , Shajan Namitha K. , Ajith Anila , Szaciłowski Konrad , Vijayakumar Chakkooth 
Published: December 2024

AbstractUltraviolet (UV) photodetectors (PDs) are essential for various applications, but traditional materials face challenges in cost, fabrication, and performance. This study introduces dimethylamine bismuth iodide (DMABI) as a promising lead‐free perovskite for UV PDs, particularly in the UVC region. DMABI demonstrates exceptional device parameters, including an ultralow dark current of 0.12 pA at 0.05 V, a high on/off ratio of 7.1 × 104, and a peak detectivity of 3.18 × 1013 Jones. The unique structure of DMABI, with isolated octahedral units, ensures minimal connectivity, significantly reducing dark current. When exposed to high‐energy UV light, carriers gain sufficient energy to hop between octahedrally coordinated bismuth centres, resulting in substantial photocurrent. The small size of the organic cation facilitates efficient charge transfer, contributing to high responsivity (1.46 A W−1) and external quantum efficiency (up to 717%). These results establish DMABI as a superior, low‐cost candidate for UV photodetection, addressing limitations of existing materials. The study provides insights into the molecular mechanisms driving these characteristics and highlights potential for future advancements in UV PD technology.
Living Porous Ceramics for Bacteria‐Regulated Gas Sensing and Carbon Capture
Authors: Dutto Alessandro , Kan Anton , Saraw Zoubeir , Maillard Aline , Zindel Daniel , Studart André R. 
Published: December 2024

AbstractMicroorganisms hosted in abiotic structures have led to engineered living materials that can grow, sense, and adapt in ways that mimic biological systems. Although porous structures should favor colonization by microorganisms, they have not yet been exploited as abiotic scaffolds for the development of living materials. Here, porous ceramics are reported that are colonized by bacteria to form an engineered living material with self‐regulated and genetically programmable carbon capture and gas‐sensing functionalities. The carbon capture capability is achieved using wild‐type photosynthetic cyanobacteria, whereas the gas‐sensing function is generated utilizing genetically engineered E. coli. Hierarchical porous clay is used as a ceramic scaffold and evaluated in terms of bacterial growth, water uptake, and mechanical properties. Using state‐of‐the‐art chemical analysis techniques, the ability of the living porous ceramics are demonstrated to capture CO2 directly from the air and to metabolically turn minute amounts of toxic gas into a benign scent detectable by humans.
High‐Temperature Diffusion Enabled Epitaxy of the Ti–O System
Authors: Kim Jeong Rae , Glotzer Sandra , Llanos Adrian , Salmani‐Rezaie Salva , Falson Joseph 
Published: December 2024

AbstractHigh temperatures promote kinetic processes that can drive crystal synthesis toward ideal thermodynamic conditions, thereby realizing samples of superior quality. While accessing very high temperatures in thin‐film epitaxy is becoming increasingly accessible through laser‐based heating methods, demonstrations of such utility are still emerging. The study realizes a novel self‐regulated growth mode in the Ti–O system by relying on thermally activated diffusion of oxygen from an oxide substrate. The controlled diffusion enables oxidation state selectivity of single‐phase films with superior crystallinity to conventional approaches as evidenced by structural and electronic measurements. The diffusion‐enabled epitaxy is potentially of wide use in the growth of transition metal oxides, opening up new opportunities for ultra‐high purity epitaxial platforms based on d‐orbital systems.
Reinforcing Gelatin Hydrogels via In Situ Phase Separation and Enhanced Interphase Bonding for Advanced 3D Fabrication
Authors: Ren Chunling , Chen Wanqi , Liao Yun , Huang Yangguang , Yu Changlong , Chen Ting , Zeng Qingmei , Yang Yunlong , Huang Rongkun , Liu Tuan , Jiang Li , Bao Bingkun , Zhu Linyong , Lin Qiuning 
Published: December 2024

AbstractGelatin hydrogels (e.g., methacrylated gelatin gel, abbreviated GelMA gel) have garnered significant attention in tissue engineering and therapeutic drug and cell delivery due to their complete degradability and intrinsic ability to support cell adhesion. However, their practical applications are often constrained by their poor mechanical performance, which stems from their single network structure. This limitation poses significant challenges in load‐bearing scenarios and restricts their use in advanced biofabrication technologies, where robust mechanical properties are essential. Here a hydrogel is developed composed entirely of gelatin using a phototriggered transient‐radical and persistent‐radical coupling (PTPC) reaction to achieve an optimized microstructure. This hydrogel features a phase‐separated structure with enhanced interfacial bonding, significantly improving mechanical performance compared to conventional GelMA gels. Notably, this approach preserves the inherent properties of gelatin, including biocompatibility, cell adhesion, and degradability, thereby extending its applicability in the biomedical field, particularly in advanced biofabrication methods such as 3D printing. This approach offers a superior solution to meet the complex demands of sophisticated biomanufacturing technologies, expanding the potential applications of gelatin hydrogels in the biomedical field.
Ethyl Lactate Ameliorates Hepatic Steatosis and Acute‐on‐Chronic Liver Injury in Alcohol‐Associated Liver Disease by Inducing Fibroblast Growth Factor 21
Authors: Jiang Yang , Wei Shuang , Shen Shiming , Liu Yuxiao , Su Weitong , Ding Dong , Zheng Zengpeng , Yu Haokai , Zhang Tingting , Yang Qiuli , Zhao Jiuxiang , Shen Yi , Fang Xia , Lin Liangcai , Xiao Dongguang , Cui Aoyuan , Wan Qin , Zhang Yadong , Li Yu , Zhang Cuiying 
Published: December 2024

AbstractAberrant upregulation of hepatic lipogenesis induced by chronic and excessive alcohol consumption is a critical driver of the progression of alcohol‐associated liver disease (ALD), however, no effective approaches inhibiting lipogenesis are currently available for treating ALD patients. Moreover, little is known about whether and how nonethanol ingredients in alcoholic beverages regulate the pathogenesis of ALD. Here the discovery of a small molecule that activates the production and secretion of fibroblast growth factor 21 (FGF21) is reported. It is shown that the activator ethyl lactate, a nonethanol ingredient found in distilled liquors, ameliorates alcoholic hepatosteatosis, inflammation and acute‐on‐chronic liver injury by stimulating FGF21. In response to chronic‐plus‐binge ethanol feeding or fasting, ethyl lactate mimics lipogenesis lowering effects by stimulating FGF21 production through the NAD+‐dependent deacetylase sirtuin 1 (SIRT1) signaling pathway. These ethyl lactate‐mediated beneficial effects are abolished by inhibition of SIRT1 through injection of EX527. Importantly, FGF21 deficiency in hepatocytes blocks the downregulation of lipogenesis by ethyl lactate and exacerbates alcoholic steatosis, inflammation and liver injury. The regulatory mechanism is discussed during the pathophysiological conditions and suggests new lines of research into the therapeutic use of a foodborne small molecule ethyl lactate.
Dual‐Modal Dielectric Elastomer System for Simultaneous Energy Harvesting and Actuation
Authors: Zhang Zhiyuan , Huang Wenwei , Zheng Shaodi , Tan Jianbo , Cheng Jinzhan , Cai Jiancheng , E Shiju , Xu Zisheng 
Published: December 2024

AbstractDielectric elastomers (DEs) have promising capabilities for soft electromechanical systems, including those for actuation and energy generation. However, their widespread application is restricted by electromechanical instability (EMI) and the requirement for high‐voltage operation. This study presents a dual‐modal DE system that effectively overcomes these limitations by leveraging a dual‐membrane structure. The proposed structure not only suppresses EMI through charge sharing but also enables simultaneous energy harvesting and actuation, enhancing the overall electrical performance of the system. The system demonstrated a remarkable improvement in output performance, exceeding that of traditional single‐modal DE generators by up to 30%. The practicality of the system is developed by integrating it into a mechanically powered soft robot capable of locomotion and environmental monitoring using a wireless temperature sensor. This study paves the way for the development of advanced DE‐based systems with enhanced stability, functionality, and potential for diverse applications in soft robotics, energy harvesting, and other areas that require coupled electromechanical capabilities.
Triplet Electron Exchange in Carbon Nanodots‐assisted Long‐persistent near‐infrared Chemiluminescence for Oncology Synergistic Imaging and Therapy
Authors: Song Run‐Wei , Jiang Tian‐Ci , Zhang Xue‐Yang , Shen Cheng‐Long , Lou Qing , Shan Chong‐Xin 
Published: December 2024

AbstractIn classical photodynamic therapy, tumor cells are killed by the cytotoxic species via type‐I/II photochemical reactions, seriously limited by the external photoexcitation and hypoxia. Herein, the electron transfer mechanism between fluorophores and peroxalate‐H2O2 reaction is investigated and the singlet/triplet electron exchange is utilized to achieve long‐persistent chemiluminescence imaging and synergistic type‐I/II/III photodynamic therapy. As a proof‐of‐concept, the photosensitizers of carbon nanodots (CDs)‐loaded chlorin e6 (CDs‐Ce6) are designed and integrated with the peroxalate molecules, and the as‐prepare polymer carbon nanodots (p‐CDs) exhibit novel tumor microenvironment (TME)‐responsive long‐persistent near‐infrared CL and photochemical reactions, evoking the in vivo imaging and synergistic dynamic therapy in tumor tissue. Mechanistically, the excess reactive oxygen species in TME can trigger the chemically initiated singlet/triplet electron exchange between the hydrophobic CDs‐Ce6 and peroxalate‐derived 1,2‐dioxetanes and thus the excess excited singlet/triplet electron of the CDs‐Ce6 can ensure the long‐persistent near‐infrared CL, type I/II photochemical production of hydroxyl radicals, superoxide radical and singlet oxygen, and type III photochemical damage of maladjusted biomacromolecules, enabling the long‐persistent near‐infrared biological imaging and enhanced cancer therapy. These results shed a new sight into the energy transfer mechanism in chemiluminescence and pave a new sight into the architecture of multifunctional theragnostic nanoplatforms.
In Situ Modulation of NiFeOOH Coordination Environment for Enhanced Electrocatalytic‐Conversion of Glucose and Energy‐Efficient Hydrogen Production
Authors: Wei Ning , Zhang Sufeng , Yao Xue , Li Qinglu , Li Nan , Li Jinrui , Pan Dingjie , Liu Qiming , Chen Shaowei , Renneckar Scott 
Published: December 2024

AbstractGlucose electrocatalytic‐conversion reaction (GCR) is a promising anode reaction to replace the slow oxygen evolution reaction (OER), thus promoting the development of hydrogen production by electrochemical water splitting. Herein, NiFe‐based metal‐organic framework (MOF) is used as a precursor to prepare W‐doped nickel‐iron phosphide (W‐NiFeP) nanosheet arrays by ion exchange and phosphorylation, which exhibit a high electrocatalytic activity toward the hydrogen evolution reaction (HER), featuring an overpotential of only −179 mV to achieve the current density of 100 mA cm−2 in alkaline media. Notably, electrochemical activation of W‐NiFeP facilitates the in situ formation of phosphate groups producing W,P‐NiFeOOH, which, in conjunction with the W co‐doped amorphous layers, leads to a high electrocatalytic performance toward GCR, due to enhanced proton transfer and adsorption of reaction intermediates, as confirmed in experimental and theoretical studies. Thus, the two‐electrode electrolyzer of the W‐NiFeP/NF||W,P‐NiFeOOH/NF for HER||GCR needs only a low cell voltage of 1.56 V to deliver 100 mA cm−2 at a remarkable hydrogen production efficiency of 1.86 mmol h−1, with a high glucose conversion (98.0%) and formic acid yields (85.2%). Results from this work highlight the significance of the development of effective electrocatalysts for biomass electrocatalytic‐conversion in the construction of high‐efficiency electrolyzers for green hydrogen production.
Recent Advances in Machine Learning‐Assisted Multiscale Design of Energy Materials
Authors: Mortazavi Bohayra 
Published: December 2024

AbstractThis review highlights recent advances in machine learning (ML)‐assisted design of energy materials. Initially, ML algorithms were successfully applied to screen materials databases by establishing complex relationships between atomic structures and their resulting properties, thus accelerating the identification of candidates with desirable properties. Recently, the development of highly accurate ML interatomic potentials and generative models has not only improved the robust prediction of physical properties, but also significantly accelerated the discovery of materials. In the past couple of years, ML methods have enabled high‐precision first‐principles predictions of electronic and optical properties for large systems, providing unprecedented opportunities in materials science. Furthermore, ML‐assisted microstructure reconstruction and physics‐informed solutions for partial differential equations have facilitated the understanding of microstructure–property relationships. Most recently, the seamless integration of various ML platforms has led to the emergence of autonomous laboratories that combine quantum mechanical calculations, large language models, and experimental validations, fundamentally transforming the traditional approach to novel materials synthesis. While highlighting the aforementioned recent advances, existing challenges are also discussed. Ultimately, ML is expected to fully integrate atomic‐scale simulations, reverse engineering, process optimization, and device fabrication, empowering autonomous and generative energy system design. This will drive transformative innovations in energy conversion, storage, and harvesting technologies.
Efficient Photocatalytic CH4‐to‐Ethanol Conversion by Limiting Interfacial Hydroxyl Radicals Using Gold Nanoparticles
Authors: Zhang Quan , Yang Chao , Chen Yangshen , Yan Yaqin , Kan Miao , Wang Huining , Lv Ximeng , Han Qing , Zheng Gengfeng 
Published: December 2024

AbstractPhotocatalytic CH4 oxidation to ethanol with high selectivity is attractive but substantially challenging. The activation of inert C−H bonds at ambient conditions requires highly reactive oxygen species like hydroxyl radicals (⋅OH), while the presence of those oxidative species also facilitates fast formation of C1 products, instead of the kinetically sluggish C−C coupling to produce ethanol. Herein, we developed a BiVO4 photocatalyst with surface functionalization of Au nanoparticles (BiVO4@Au), which not only enables photogeneration of ⋅OH to activate CH4 into ⋅CH3, but also in situ consumes those ⋅OH species to retard their further attack on ⋅CH3, resulting in an enhanced ⋅CH3/⋅OH ratio and facilitating C−C coupling toward ethanol. The ⋅CH3/⋅OH ratio is further improved by transporting CH4 via a gas‐diffusion layer to the photocatalytic interface, leading to even higher ethanol selectivity and production rates. At ambient conditions and without photosensitizers or sacrificial agents, the BiVO4@Au photocatalyst exhibited an outstanding CH4‐to‐ethanol conversion performance, including a peak ethanol yield of 680 μmol ⋅ g−1 ⋅ h−1, a high selectivity of 86 %, and a stable photoconversion of >100 h, substantially exceeding most of the previous reports. Our work suggests an attractive approach of in situ generation and modulation of the ⋅OH levels for photocatalytic CH4 conversion toward multi‐carbon products.
General and Versatile Nanoarchitectonics for Amino Acid‐Based Glasses via Co‐Assembly of Organic Counterions
Authors: Li Xianbao , Yang Yang , Zhao Zhiqi , Bai Shiwei , Li Qi , Li Junbai 
Published: December 2024

AbstractAmino acid‐based biomolecular glasses represent an emerging material to meet the demand for sustainable development. However, most amino acids are difficult to vitrify due to their strong crystallization tendency, limiting further advancements of this field. In this study, we demonstrate that the introduction of counterions effectively suppresses crystallization, as hydrogen bonds within the system stabilize the disordered structures. Based on this, we propose a counterion co‐assembly strategy to synthesize a wide range of amino acid‐based glasses. This strategy enables the facile fabrication of glass with customizable shapes, high mechanical rigidity, and tunable multicolor fluorescence, ranging from blue to red depending on the excitation wavelength. Furthermore, this strategy allows the integration and enhancement of counterion properties within the glass matrix. Through the co‐assembly of phosphorescent counterions, we synthesized a series of long‐persistent luminescent glasses with significantly extended afterglow lifetimes. This work presents an effective approach for the synthesis of amino acid‐based glasses and provides insights into the development of supramolecular glasses with tailored functionalities.