bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early High-Dose Erythropoietin and Cognitive Functions of School-Aged Children Born Very Preterm
Authors: Wehrle Flavia Maria , Held Ulrike , Disselhoff Vera , Schnider Barbara , Stöckli Alexandra , Toma Mina , Bucher Hans Ulrich , Fauchère Jean-Claude , Natalucci Giancarlo , Hüppi Petra , Borradori-Tolsa Cristina , Liverani Maria Chiara , O’Gorman Ruth L. , Latal Beatrice , Hagmann Cornelia Franziska 
Published: September 2024

ImportanceChildren born very preterm are at risk for long-term neurodevelopmental sequelae. Prophylactic high-dose recombinant human erythropoietin (rhEpo) shortly after birth has not been shown to improve cognitive, motor, and behavioral development at 2 and 5 years.ObjectiveTo investigate whether early high-dose rhEpo is associated with better executive functions and processing speed—late-maturing cognitive functions—in school-aged children born very preterm.Design, Setting, and ParticipantsThis single-center cohort study was a prospective, observational follow-up study of a multicenter neonatal clinical trial; 365 children born very preterm (mean gestational age, 29.3 weeks [range, 26.0-31.9 weeks]) who had been enrolled in the Swiss EPO Neuroprotection Trial at birth between 2005 and 2012, and who were included in the primary outcome analyses at 2 years, were eligible to be recruited for the EpoKids study between 2017 and 2021 when they were at school age. Term-born children were additionally recruited and included in a control group. Data were analyzed between May and September 2022.ExposureAdministration of rhEpo (3000 IU/kg) or placebo (saline, 0.9%) intravenously 3 times within the first 2 days of life as part of the Swiss EPO Neuroprotection Trial.Main Outcome and MeasuresA comprehensive neuropsychological test battery assessed executive functions and processing speed, and parents reported on their child’s executive functions in everyday life to test the hypothesis that early high-dose rhEpo administration is associated with better cognitive outcomes at school age.ResultsIn the EpoKids study, 214 children born very preterm (58.6% of 365 children in eligible cohort) were assessed at a mean age of 10.4 years (range, 6.9-13.4 years); 117 (54.7%) were boys. There was no evidence that the 117 children who had received rhEpo differed from the 97 children who had received placebo in any of the 15 executive function and processing speed tests, nor in parent-rated executive functions (estimates ranged from −0.138 to 0.084, all 95% CIs included 0). Irrespective of rhEpo or placebo allocation, children born very preterm scored lower on 11 of 15 executive function and processing speed tests than term-born peers (estimates ranged from 0.112 to 0.255, 95% CIs did not include 0).Conclusion and RelevanceThis study found no evidence for a positive association between prophylactic early high-dose rhEpo administration and long-term neurodevelopmental outcomes after very preterm birth. These results suggest that a comprehensive approach, including pharmacological and nonpharmacological prevention and intervention strategies, is needed to support these children’s neurodevelopmental outcome.
Development and Preliminary Validation of a Screener for Digital Health Readiness
Authors: Rising Kristin L. , Guth Amanda , Gentsch Alexzandra T. , Martin Gonzalez Karla , Hass Richard , Shughart Lindsey , Gelfer Serena , McVane Megan , Worster Brooke , Leader Amy E. 
Published: September 2024

ImportanceWhile telehealth use has grown, patient uptake is variable, which has the potential to increase health disparities. Identifying and understanding individuals’ barriers to digital health readiness can help health systems efficiently deploy resources to provide personalized patient-centered support.ObjectiveTo develop and validate an instrument to evaluate digital health readiness to identify and quantify barriers to digital readiness.Design, Setting, and ParticipantsIn this qualitative mixed-methods study conducted from April 26, 2022, to June 8, 2023, the instrument was created in 4 phases. Patients and health care professionals were interviewed to explore barriers to telehealth use, scale items were developed for the screener, cognitive interviews were conducted to refine scale items, and psychometric properties of the screener were evaluated. The study was conducted in an urban, multisite academic health system and the surrounding community. Participants were older than 18 years, English-speaking, and able to provide informed consent. Professionals worked within the Jefferson Health system and were involved in telehealth services.ExposureParticipants completed a semistructured interview (duration: 6-19 minutes), a cognitive interview (duration: 13-137 minutes), or the draft screener survey (duration: 5-10 minutes).Main Outcomes and MeasuresDevelopment and validation of a screener for digital health readiness.ResultsOf 519 patients approached, 19 were ineligible, 122 declined, and 11 were excluded from analysis, resulting in inclusion of 367 participants (32 patient interviews, 16 professional interviews, 15 cognitive interviews, 304 psychometric survey testing). All 16 professionals who were approached participated. Most patient participants were Black (46.7%) or White (37.9%), male (56.4%), and had a high school degree or some college (49.6%); mean (SD) age was 45 (23) years for participants in cognitive interviews, 53 (18) years for survey respondents, and 57 (14) years for patient interviews. The structured interviews uncovered 21 concepts, leading to 48 items that were refined through cognitive interviews. Psychometric analyses of the 29 items that emerged from the cognitive interviews resulted in a final screener with 24 items across 2 factors: technical readiness (18 items; factor loading range, 0.488-0.968) and quality-of-care concerns (6 items; factor loading range, 0.619-0.942).Conclusions and RelevanceIn this qualitative study of digital health readiness, the findings suggest that the screener items may be valid to assess the complexity of factors influencing digital health uptake and highlight several areas for potential intervention.
Review of External Field Effects on Electrocatalysis: Machine Learning Guided Design
Authors: Wang Lei , Zhou Xuyan , Luo Zihan , Liu Sida , Yue Shengying , Chen Yan , Liu Yilun 
Published: September 2024

AbstractExternal field‐enhanced electrocatalysis is a novel and promising approach for boosting the efficiency of electrocatalytic reactions, potentially achieving significant enhancement without altering the composition and structure of electrocatalysts. In addition, the scaling relations of electrocatalysis typically lead to similar variations of initial‐state and transition‐state (TS) energy, which minimally impacts the reaction energy barrier. A sophisticated design of the external field effects shall break these scaling relations. This review provides a comprehensive overview of current research on the effect of mechanical, electric, and magnetic fields on electrocatalysis. It meticulously details the mechanisms underlying activity enhancement based on external field regulations, spanning from the synthesis of electrocatalytic materials to their behavior during the reaction process and modulation of the electrolyte environment. Additionally, the applications of emerging machine learning (ML) technologies in electrocatalysis design, including machine learning interatomic potentials (MLIPs) to simulate large‐scale and dynamic chemical reaction processes, data‐driven design and optimization of electrocatalysis performance, are briefly reviewed. In addition, the significant potential of ML technologies in conjunction with external field regulation, envisioning them as effective tools for optimizing or reverse designing electrocatalysis, considering both thermodynamic and kinetic factors as well as the dynamic effect of electrocatalyst surfaces under extreme external fields, is highlighted.
Which Type of Carbon Nitride More Suits Photocatalysis: Amorphous or Crystalline?
Authors: Liu Jia , Tian Na , Ren Shuo , Zhang Zhijie , Yang Zhantao , Xue Yuanqi , Zhang Yihe , Gao Lu , Huang Hongwei 
Published: September 2024

AbstractGraphitic carbon nitride (g‐C3N4) has witnessed tremendous research interest due to its narrow bandgap, intrinsic 2D structure, and abundant raw materials. Although g‐C3N4 has some shortcomings such as low specific surface area, poor conductivity and rapid charge carries recombination, various modification methods are constantly emerging to enhance its potential application value in photocatalysis. Increasing the crystallinity of g‐C3N4 is an effective strategy to improve the in‐plane charge separation efficiency. However, it is also reported that amorphous g‐C3N4 possesses a higher adsorption and activation ability over reactants due to its richer surface functional groups than crystalline g‐C3N4. Which type of g‐C3N4 more suits photocatalysis, and which modification method is more suitable for boosting the activity of two types of g‐C3N4, respectively? Based on these issues, the recent advances in the preparation and properties of amorphous and crystalline g‐C3N4 are summarized, and their performance improvement strategies are overviewed thoroughly. Upon systematic comparison and analysis, which modification strategy is more suitable for the two types of g‐C3N4, respectively, is proposed. Their applications are also summed up especially in environment remediation and energy conversation. Finally, the ongoing opportunities and future challenges for amorphous and crystalline g‐C3N4 in the photocatalysis territory are taken for consideration.
Legumain‐Guided Ferulate‐Peptide Self‐Assembly Enhances Macrophage‐Endotheliocyte Partnership to Promote Therapeutic Angiogenesis After Myocardial Infarction
Authors: Xu Delong , Bi Shenghui , Li Jiejing , Ma Shaodan , Yu Ze‐an , Wang Yenan , Chen Huiming , Zhan Jie , Song Xudong , Cai Yanbin 
Published: September 2024

AbstractPromoting angiogenesis and modulating the inflammatory microenvironment are promising strategies for treating acute myocardial infarction (MI). Macrophages are crucial in regulating inflammation and influencing angiogenesis through interactions with endothelial cells. However, current therapies lack a comprehensive assessment of pathological and physiological subtleties, resulting in limited myocardial recovery. In this study, legumain‐guided ferulate‐peptide nanofibers (LFPN) are developed to facilitate the interaction between macrophages and endothelial cells in the MI lesion and modulate their functions. LFPN exhibits enhanced ferulic acid (FA) aggregation and release, promoting angiogenesis and alleviating inflammation. The multifunctional role of LFPN is validated in cells and an MI mouse model, where it modulated macrophage polarization, attenuated inflammatory responses, and induces endothelial cell neovascularization compare to FA alone. LFPN supports the preservation of border zone cardiomyocytes by regulating inflammatory infiltration in the ischemic core, leading to significant functional recovery of the left ventricle. These findings suggest that synergistic therapy exploiting multicellular interaction and enzyme guidance may enhance the clinical translation potential of smart‐responsive drug delivery systems to treat MI. This work emphasizes macrophage‐endothelial cell partnerships as a novel paradigm to enhance cell interactions, control inflammation, and promote therapeutic angiogenesis.
KPV and RAPA Self‐Assembled into Carrier‐Free Nanodrugs for Vascular Calcification Therapy
Authors: Zhang Li , Li Dongze , Aierken Yierpani , Zhang Jie , Liu Zhenyu , Lin Zipeng , Jiang Longqi , Li Qingzhu , Wu Ya , Liu Yong 
Published: September 2024

AbstractCardiovascular disease (CVD) is a leading cause of death globally, and vascular calcification (VC) is an important independent risk factor for predicting CVD. Currently, there are no established therapeutic strategies for the treatment of VC. Although recognized combination therapies of nanomedicines can provide effective strategies for disease treatment, the clinical application of nanomedicines is limited because of their complex preparation processes, low drug loading rates, and unpredictable safety risks. Thus, developing a simple, efficient, and safe nanodrug to simultaneously regulate inflammation and autophagy may be a promising strategy for treating VC. Herein, an anti‐inflammatory peptide (lysine‐proline‐valine peptides, KPV) and the autophagy activator rapamycin (RAPA) are self‐assembled to form new carrier‐free spherical nanoparticles (NPs), which shows good stability and biosafety. In vivo and in vitro, KPV‐RAPA NPs significantly inhibit VC in mice compared to the other treatment groups. Mechanistically, KPV‐RAPA NPs inhibit inflammatory responses and activated autophagy. Therefore, this study indicates that the new carrier‐free KPV‐RAPA NPs have great potential as therapeutic agents for VC combination therapy, which can promote the development of nanodrugs for VC.
Rationalizing Defective Biomimetic Ceria: In Vitro Demonstration of a Potential “Trojan Horse” Nanozyme Based‐Platform Leveraging Photo‐Redox Activities for Minimally Invasive Therapy
Authors: Sarkar Sayoni , Malhotra Diksha , Debnath Monalisha , Kundu Gopal C. , Srivastava Rohit , Kulkarni Ajit R. 
Published: September 2024

AbstractSemiconductor nanostructures with surface defect‐mediated chemistry have garnered pronounced interest due to their exceptional photo‐induced intracellular bio‐catalytic (enzyme‐mimicking) responses. However, designing defective nanozymes with pH‐responsive multi‐bio‐catalytic functions without any dopants is challenging. Herein, oxygen‐deficient “trojan horse‐like” folate‐functionalized, L‐arginine‐coated ceria (FA‐L‐arg‐CeO2) nanozymes with synergistic multi‐enzyme‐mimicking and anti‐cancer potential are introduced. Intrinsic surface oxygen vacancies (VO●) are strategically created in the nanozymes under kinetically favorable synthesis conditions. Increased surface VO● promotes band structure reconstruction and amplified photochemical‐response efficacy under single laser irradiation (808 nm), outperforming the defect‐free commercial nano‐CeO2 in rapid anti‐tumorigenic activities. Through folate receptor‐mediated endocytosis, these biostable nanozymes localized in MDA‐MB‐231 cells (84% in 48 h) and demonstrated NIR‐accelerated enzymatic functions depending on the pH of the biological milieu. The reduced band gap energy facilitated effective electron‐hole separation, up‐regulating in vitro photo‐redox reactions that impart exceptional therapeutic potential and inhibit 62% cell metastasis within only 12 h. By perturbing intratumoural redox homeostasis, VO●‐rich FA‐L‐arg‐CeO2 nanozymes unanimously killed 86% of MDA‐MB‐231 cancer cells while preferentially shielding benign L929 cells. Transcending beyond conventional drug‐loaded or dopant‐incorporated‐CeO2 nanoplatforms, these defective multi‐modal nanozymes unravel a new avenue for developing smart, low‐cost, bio‐active agents with enhanced efficacy and bio‐safety.
Recent Advances in Linear Polarization‐Sensitive Photodetectors Based on Perovskites with Different Molecular Dimensions
Authors: Wang Xiaoting , Zhang Fengyi , Xu Rongrong , Yin Qianxi , Li Mulin , Huang Xianliang , Ma Teng , Chen Ziyi , Chen Jun , Zeng Haibo 
Published: September 2024

AbstractThe function of photodetectors is to convert optical signals into current or voltage output. Polarization‐sensitive perovskite photodetectors have attracted significant interest because of their potential applications in imaging and remote sensing technologies. This study provides an overview of the advancements in research on halide perovskite photodetectors, particularly focusing on their capability for linear polarization‐sensitive detection. First, there is a brief description of the background and strengths of linear polarization‐sensitive photodetectors. Then, the core parameters of linear polarization‐sensitive photodetectors are introduced briefly. Third, according to the classification of active layer materials, linear polarization‐sensitive photodetectors are divided into 3D perovskites and low‐dimensional perovskites. The research on linear polarization‐sensitive perovskite detectors are reviewed. Finally, the developments and challenges faced by linear polarization‐sensitive perovskite photodetectors are analyzed.
Flat‐Field Lens Grating Microspectrometer for Spectroscopic Multiplex Bioassay
Authors: Kim Gi Beom , Park Jung‐Woo , Jeon Jaehun , Jeong Hyejeong , Yu Eun‐Sil , Jeong Ki‐Hun 
Published: September 2024

AbstractSpectroscopic multiplex bioassay allows the rapid and simultaneous detection of various biomarkers in biomedical applications. The high cost and bulky configuration of conventional spectrometers hinder the decentralization of biomedical instruments for point‐of‐care diagnostics. Here a flat‐field lens grating‐based microspectrometer (FLG‐µSPEC) is reported for continuous detection of multi‐target nucleic acid amplification. FLG‐µSPEC features the vertical integration of microslit, integrated flat‐field lens and transmission grating (FLG), concave mirror, and CMOS line sensor. FLG effectively corrects the field curvature by flattening the focal plane of dispersed wavelengths and also facilitates compact module packaging. FLG‐µSPEC module is precisely assembled into a dimension of 10 mm × 16 mm × 10 mm. The average spectral resolution exhibits 3.4 ± 0.9 nm over an operating range of 500 to 950 nm. A spectral detection system utilizing FLG‐µSPEC demonstrates the amplification of lambda DNA (𝜆‐DNA) for each target, exhibiting a high correlation with the obtained result from a conventional real‐time PCR (qPCR) machine. Furthermore, multiplex qPCR analysis using FLG‐µSPEC and spectral deconvolution successfully demonstrates simultaneous and accurate quantification of three different targets. The FLG‐µSPEC module offers diverse on‐demand analytical applications, including not only multiplex bioassay but also environmental monitoring.
Reconfigurable Hologram Response to Liquid via the Femtosecond Laser Direct Writing of 3D Micropillars
Authors: Li Taoyong , Li Luqi , Jiang Lan , Yi Peng , Li Min , Li Songchang , Li Xibiao , Zhang Xiangyu , Wang Andong , Wang Zhi , Li Jiafang , Huang Lingling , Han Bing , Li Xiaowei 
Published: September 2024

AbstractReconfigurable and tunable holograms hold significant practical value in the fields of anti‐counterfeiting, optical security, and information display due to their ability to reprogram holographic patterns and create variable visual effects. However, current encryption techniques face challenges in achieving rapid encryption/decryption and ensuring consistent methods. In this study, a method for producing a reconfigurable encryption hologram utilizing the deformation and recovery properties of micropillars in response to liquid is demonstrated. Micron‐scale micropillars are fabricated using femtosecond laser two‐photon polymerization. By exploiting the rapid deformation and recovery capabilities of micropillars with specific pitches and aspect ratios in response to liquids, micropillar structures and holograms are combined to construct reconfigurable holograms. The encrypted pattern information in the reconfigurable holograms is only readable following immersion in alcohol and laser irradiation. The proposed method offers a facile, reversible, reusable, and practical solution for information encryption, with significant potential in anti‐counterfeiting and optical security.
Colloidal Stabilizer‐Mediated Crystal Growth Regulation and Defect Healing for High‐Quality Perovskite Solar Cells
Authors: Xin Zhe , Ding Yang , Zhao Yuanyuan , Peng Yue , Zhang Qing , Cao Yusheng , Guo Qiyao , Duan Jialong , Dou Jie , Sun Liqing , Zhang Qiang , Tang Qunwei 
Published: September 2024

AbstractHigh‐quality perovskite (PVK) films is essential for the fabrication of efficient and stable perovskite solar cells (PSCs). However, unstable colloidal particles in PVK suspensions often hinder the formation of crystalline films with low defect densities. Herein, ethylenediaminetetraacetic acid (EDTA) as a colloidal stabilizer into lead iodide (PbI2) is introduced colloidal solutions. EDTA forms chelated complexes with Pb2+, enhancing the electrostatic repulsion and steric hindrance between colloidal particles. This stabilizes the particles and inhibits disordered motion (Brownian motion) and excessive aggregation. As a result, PbI2 films with a uniform hole distribution are formed, providing ample pathways for subsequent PVK film growth and sufficient space. During the film formation process, the replacement of molecules by formamidinium iodide (FAI) and EDTA slows down crystallization, ultimately leading to PVK films with large grain sizes and low defect density. By using this approach, champion power conversion efficiencies (PCEs) of 24.05% for FA0.97Cs0.03PbI3 PSC, 11.08% for CsPbBr3 PSC, and 25.19% for FA0.945MA0.025Cs0.03Pb(I0.975Br0.025)3 PSC are achieved. Moreover, the EDTA‐based FA0.97Cs0.03PbI3 device retains over 90% of its initial PCE after 1000 h at the maximum power point (MPP) under continuous illumination.
AMMI and GGE biplot analysis for barley genotype yield performance and stability under multi environment condition in southern Ethiopia
Authors: Derbew Shegaw , Mekbib Firew , Lakew Berhane , Bekele Agdew , Bishaw Zewdie 
Published: September 2024

AbstractBarley (Hordeum vulgare L.) is a major grain crop farmed in Ethiopia throughout the long rainy season (Meher) and the short rainy season (Belg) of the year. Barley genotypes were subjected to multi‐environment experiments in six different settings to identify stable genotypes and estimate the impact of genotype × environment interaction (GEI) on grain production. In each area, the field experiment was conducted from mid‐July to January during the primary cropping season of 2021. Three replications of a randomized complete block design were used to set up the trials. According to the additive main effects and multiplicative interaction (AMMI) study, genotype (18.19%), GEI (22.98%), and environment (58.83%) all had an impact on the major treatment sum of squares. The more variance attributed to the environments is a sign of environmental diversity. Given that the two interaction principal component analysis (IPCAs) accounted for 76.94% of the interaction sum of squares, they were sufficient for cross‐validation of the grain yield variance explained by GEI. In contrast to the GGE biplot approaches, which indicated genotypes G12, G3, and G9 as stable and high‐yielding genotypes throughout the environments, the AMMI stability value identified genotypes G3, G12, and G9 as high yielding with stable performance across environments. In general, the GGE biplot and AMMI analysis models demonstrated that genotypes G12, G3, and G9 were stable and yielded well, making G3 acceptable for cultivation in a wider range of environments and G12 and G9 suitable for release.