bluuebunny/crossref_metadata_2025_split huggingface dataset:
Smart Mesoporous Silica Nanoparticles in Cancer: Diagnosis, Treatment, Immunogenicity, and Clinical Translation
Authors: Yousefiasl Satar , Ghovvati Mahsa , Alibakhshi Abbas , Azizi Mehdi , Samadi Pouria , Kumar Arun , Shojaeian Ali , Sharifi Esmaeel , Zare Ehsan Nazarzadeh , Dey Asmita Deka , Chehelgerdi Mohammad , Makvandi Pooyan 
Published: January 2025

AbstractIn cancer research and personalized medicine, mesoporous silica nanoparticles (MSNs) have emerged as a significant breakthrough in both cancer treatment and diagnosis. MSNs offer targeted drug delivery, enhancing therapeutic effectiveness while minimizing adverse effects on healthy cells. Due to their unique characteristics, MSNs provide targeted drug delivery, maximizing therapeutic effectiveness with minimal adverse effects on healthy cells. The review thoroughly investigates the role of MSNs as potent drug carriers, noted for their high drug‐loading capacity and controlled release, which significantly improves drug permeability and retention. Additionally, it discusses surface modification techniques that enable MSNs to target cancer cells precisely. The manuscript provides comprehensive insights into various MSN applications, including their role in cancer diagnosis, the design of advanced biosensors, and the development of both conventional and stimuli‐responsive drug delivery platforms. Special focus is given to stimuli‐triggered MSN systems, responsive to internal stimuli (e.g., pH, redox, enzyme) and external stimuli (e.g., temperature, magnetic field, light, ultrasound), highlighting the cutting‐edge progress in MSN technology. Additionally, the review delves into the immunogenicity and biosafety aspects of MSNs, underscoring their potential for clinical translation. Besides summarizing the current state of MSN research in oncology, this review also illuminates the path for future advancements and clinical applications.
Graphene‐Based Opto‐Electronic Platform for Ultra‐Sensitive Biomarker Detection at Zeptomolar Concentrations
Authors: Piscitelli Matteo , Franco Cinzia Di , Bianco Giuseppe Valerio , Bruno Giovanni , Macchia Eleonora , Torsi Luisa , Scamarcio Gaetano 
Published: January 2025

AbstractA ground‐breaking graphene‐based biosensor designed for label‐free detection of immunoglobulin M (IgM) achieving a remarkable concentration of 100 zeptomolar (10−19 m), is reported. The sensor is a two‐terminal device and incorporates a millimeter‐wide gold interface, bio‐functionalized with ≈1012 anti‐IgM antibodies and capacitively coupled to a bare graphene electrode through a water‐soaked paper strip. In this configuration, few affinity binding events trigger a collective electrostatic reorganization of the protein layer, leading to an extended surface potential (SP) shift of the biofunctionalized Au surface. The SP shift, mediated by electrolyte capacitive coupling, induces a corresponding shift in the Fermi level of graphene. This shifts the graphene phonon frequencies, which are measured by Raman spectroscopy. Decoupling the sensing interface from the transducing graphene layer provides flexibility in surface chemistry modifications, while preserving the graphene integrity. A key aspect of this biosensor is its ability to precisely determine the graphene charge neutrality point from the voltage dependence of phonon frequency shifts, enabling detections of biomarker at unprecedented low concentrations. The integration of graphene with optical probing demonstrates a proof‐of‐concept and establishes a ground‐breaking approach to in situ biomarker detection, setting the stage for a future generation of portable opto‐electronic high‐performance diagnostic tools for single‐marker detection.
Eoldist, a Web Application for Estimating Cautionary Detection Distance of Birds by Automatic Detection Systems to Reduce Collisions With Wind Turbines
Authors: Fluhr Julie , Duriez Olivier , Blary Constance , Chambert Thierry , Almasi Bettina , Byholm Patrik , Buitendijk Nelleke H. , Champagnon Jocelyn , Dagys Mindaugas , Fiedler Wolfgang , Francesiaz Charlotte , Jiguet Frédéric , Lee Simon , Millon Alexandre , Monti Flavio , Morcelet Lucile , Nathan Ran , Nolet Bart A. , Nuijten Rascha , Pilard Philippe , Ponchon Cécile , Roulin Alexandre , Santos Carlos D. , Spiegel Orr , Schalcher Kim , De Seynes Aurélie , Spanoghe Geert , Wikelski Martin , Žydelis Ramunas , Besnard Aurélien 
Published: January 2025

ABSTRACTThe installation of automatic detection systems (ADSs) on operating wind energy facilities is a mitigation measure to reduce bird collisions. The effectiveness of an ADS depends on a combination of parameters, including the detection distance of the bird, its flight speed, and the time to complete the chosen action (e.g., turbine shutdown). We created a web application, Eoldist, to calculate cautionary detection distances required by an ADS, using bird flight speed and turbine shutdown time as input parameters. We compiled a database of the flight speeds of 168 Western Palearctic birds from a review of scientific literature supplemented by an analysis of unpublished GPS‐tracking datasets. To estimate turbine shutdown time, we conducted 137 field trials of experimental shutdown at seven wind farms and found that the duration to reach residual rotor speeds of 3 or 2 rotations per minute (rpm) was respectively 32.2 or 38.8 s on average. Based on this data, Eoldist allows the user to select a species from the database, wind turbine characteristics, and a residual rotor speed (3 or 2 rpm); it then calculates the time to reach the selected threshold and provides a distribution curve for the cautionary detection distance needed to prevent collision. This article includes examples of cautionary detection distances required for several species to demonstrate the sensitivity of key input parameters. Eoldist is freely available and should help the wind energy industry, ADS suppliers, and environmental agencies to define requirements for ADS bird detection that are compatible with the biology of the target species.
A generative pre-trained transformer industrial bot to improve operators’ working experience in a small Industry 5.0 factory
Authors: Kiangala Kahiomba Sonia , Wang Zenghui 
Published: January 2025

Abstract
The industrial sector is embracing a new revolution, Industry 5.0 (I5.0), focusing on human well-being and ecosystem preservation. Previous industrial revolutions have emphasized incorporating the latest state-of-the-art innovations and technologies to improve production processes, overseeing some of their long-term damaging impact on human beings. Our research contributes to the I5.0 practical implementation in factories by proposing the design of a generative pre-trained transformer (GPT) industrial bot as a tool to assist workers of a small experimental factory in improving their daily working experience. The industrial bot closely tracks factory production and allows operators to monitor a few fundamental elements of their well-being via text queries, such as the pollution level and the maximum overtime hours per worker. It also provides factories with three valuable functions: faulty equipment discovery, root cause analysis, and synthetic data generation. These features originate from factory-customized data loaded into the OpenAI GPT4 language model (LM) presented in two industrial bot versions. The first is an offline version, created using a Langchain agent connected to the GPT4 LM through OpenAI APIs and visualized with Streamlit, an open-source front-end tool. The second is an online version produced by the GPT4 internal function that creates customs GPTs. We highlight both versions’ advantages and disadvantages to guide factories in considering the suitable environmental model when adopting I5.0. Our system also allows operators to receive additional tips, thanks to the online GPT4 robust database, to enhance their knowledge on maintaining their well-being and their factory contextualized on the query sent to the industrial bot.
Investigation of cyclic water infiltration and dry-out in coated spruce using finite-element simulations
Authors: Brandstätter Florian , Senoner Magdalena , Lukacevic Markus , Autengruber Maximilian , Truskaller Michael , Grüll Gerhard , Füssl Josef 
Published: January 2025

Abstract
Accurate prediction of moisture distributions in wood is among the most critical challenges in timber engineering. Achieving this requires a well-coordinated comparison of experimental methods and simulation tools. While significant progress has been made in developing simulation tools in recent years, a lack of experience with and trust in these tools continues to hinder broader implementation, especially when it comes to free water and its absorption. Investigations and model advancements have allowed for the simulation of increasingly complex cases, including one-dimensional moisture transport above the fiber saturation point (FSP) in coated boards and below FSP in coated glued laminated timber (GLT). However, free water flow in coated GLT beams has not yet been addressed, which can become problematic in case of extreme scenarios, such as water infiltration. In this study, we demonstrate that the multi-Fickian free water transport model developed by some of the authors can successfully simulate three-dimensional coated cases. Uncoated and coated boards and GLT members were subjected to cyclic wetting and drying, both experimentally and numerically. To simplify the calibration process of the mass transfer coefficient of free water—identified as the most significant parameter for the simulation of free water transport—experiments previously conducted by some of the authors were simulated. Based on the simulation results, approaches for an initial estimation of the mass transfer coefficient were developed. If the water uptake of coated specimens is measured three days after continuous soaking in water and the result exceeds a specific limit, the coefficient can be sufficiently predicted. The simulation and experimental results show a good agreement.
Isolation and characterization of haploid heterothallic beer yeasts
Authors: Badura Jennifer , Bernardi Beatrice , Muno-Bender Judith , Matti Katrin , Zimmer Kerstin , Wendland Jürgen 
Published: January 2025

Abstract
Improving ale or lager yeasts by conventional breeding is a non-trivial task. Domestication of lager yeasts, which are hybrids between Saccharomyces cerevisiae and Saccharomyces eubayanus, has led to evolved strains with severely reduced or abolished sexual reproduction capabilities, due to, e.g. postzygotic barriers. On the other hand, S. cerevisiae ale yeasts, particularly Kveik ale yeast strains, were shown to produce abundant viable spores (~ 60%; Dippel et al. Microorganisms 10(10):1922, 2022). This led us to investigate the usefulness of Kveik yeasts for conventional yeast breeding. Surprisingly, we could isolate heterothallic colonies from germinated spores of different Kveik strains. These strains presented stable mating types in confrontation assays with pheromone-sensitive tester strains. Heterothallism was due to inactivating mutations in their HO genes. These led to amino acid exchanges in the Ho protein, revealing a known G223D mutation and also a novel G217R mutation, both of which abolished mating type switching. We generated stable MAT

a
or MATα lines of four different Kveik yeasts, named Odin, Thor, Freya and Vör. Analyses of bud scar positions in these strains revealed both axial and bipolar budding patterns. However, the ability of Freya and Vör to form viable meiotic offspring with haploid tester strains demonstrated that these strains are haploid. Fermentation analyses indicated that all four yeast strains were able to ferment maltose and maltotriose. Odin was found to share not only mutations in the HO gene, but also inactivating mutations in the PAD1 and FDC1 genes with lager yeasts, which makes this strain POF-, i.e. not able to generate phenolic off-flavours, a key feature of lager yeasts. These haploid ale yeast-derived strains may open novel avenues also for generating novel lager yeast strains by breeding or mutation and selection utilizing the power of yeast genetics, thus lifting a block that domestication of lager yeasts has brought about.

Key points

• Haploid Kveik ale yeasts with stable MAT

a

and MATα mating types were isolated.

• Heterothallic strains bear mutant HO alleles leading to a novel inactivating G217R amino acid change.

• One strain was found to be POF- due to inactivating mutations in the PAD1 and FDC1 gene rendering it negative for phenolic off-flavor production.

• These strains are highly accessible for beer yeast improvements by conventional breeding, employing yeast genetics and mutation and selection regimes.
High-resolution Simulation Dataset of Hourly PM2.5 Chemical Composition in China (CAQRA-aerosol) from 2013 to 2020
Authors: Kong Lei , Tang Xiao , Zhu Jiang , Wang Zifa , Liu Bing , Zhu Yuanyuan , Zhu Lili , Chen Duohong , Hu Ke , Wu Huangjian , Wu Qian , Shen Jin , Sun Yele , Liu Zirui , Xin Jinyuan , Ji Dongsheng , Zheng Mei 
Published: January 2025

Abstract
Scientific knowledge on the chemical compositions of fine particulate matter (PM2.5) is essential for properly assessing its health and climate effects, and for decisionmakers to develop efficient mitigation strategies. A high-resolution PM2.5 chemical composition dataset (CAQRA-aerosol) is developed in this study, which provides hourly maps of organic carbon, black carbon, ammonium, nitrate, and sulfate in China from 2013 to 2020 with a horizontal resolution of 15 km. This paper describes the method, access, and validation results of this dataset. It shows that CAQRA-aerosol has good consistency with observations and achieves higher or comparable accuracy with previous PM2.5 composition datasets. Based on CAQRA-aerosol, spatiotemporal changes of different PM2.5 compositions were investigated from a national viewpoint, which emphasizes different changes of nitrate from other compositions. The estimated annual rate of population-weighted concentrations of nitrate is 0.23 µg m−3 yr−1 from 2015 to 2020, compared with −0.19 to −1.1 µg m−3 yr−1 for other compositions. The whole dataset is freely available from the China Air Pollution Data Center (https://doi.org/10.12423/capdb_PKU.2023.DA).
Measuring the visual environment of children and young people at risk of myopia: a scoping review
Authors: Dahlmann-Noor Annegret H. , Bokre Desta , Khazova Marina , Price Luke L. A. 
Published: January 2025

Abstract

Purpose
Myopia (short-sightedness) is an emerging WHO priority eye disease. Rise in prevalence and severity are driven by changes in lifestyle and environment of children and young people (CYP), including less time spent in bright daylight and more time spent on near-vision activities. We aimed to systematically map the literature describing direct, objective measurements of the visual environment of CYP.

Methods
We conducted searches in Ovid Medline 1946, Ovid Embase and The Cochrane Central Register of Controlled Trials in November 2024. We included primary research written in English on environmental/behavioural factors and myopia onset/progression in CYP 3–18 years. Two reviewers independently screened titles/abstracts/full texts.

Results
We included 34 articles: 21 explored the association of indoor and/or outdoor light exposure and myopia and included light measurements, two near-vision activities, four both light and near-work, four time outdoors without illuminance measurements, and three light exposure based on meteorological data. Most measurements were carried out at the level of individual children, rather than the surrounding environment alone.

Conclusion
Despite limitations in measurement techniques, there is evidence that reduced illuminance, less time spent in bright light and increased daily duration/sustained episodes of near-vision activities and reduced working distance are associated with increased myopia prevalence/progression.
The Transition to Kindergarten for Hispanic and Latine Autistic Children: A Focus Group Study with Caregivers
Authors: Jellinek-Russo Emily , Keller-Margulis Milena , Mire Sarah S. , Lozano Ivana , Duran Brenda , Fein Rachel H. , Gonzalez Jorge , Day Susan X. 
Published: January 2025

Abstract

Purpose: Past research highlights the different facilitators and barriers that caregivers of children on the autism spectrum experience during the transition to kindergarten and when navigating special education services. Caregivers who identify as Hispanic and/or Latine may face distinct challenges during this process, such as language differences, differences in understanding autism and special education, and barriers to advocating for their child. Hispanic and Latine caregivers also have strengths, resources, and strategies (i.e. cultural capital) that they use during this time. However, there is little research aimed at understanding the unique experiences of Hispanic and Latine caregivers of autistic children during their entry to kindergarten. Methods: To address this shortcoming, the current study used qualitative methods and thematic analysis to explore the transition to kindergarten experiences of four caregivers of autistic children. Results: This study identified strengths, supportive practices, and challenges that participants experienced fell under four major themes: importance of proactive and ongoing partnerships between caregivers and schools, navigating unfamiliar language and processes, the need for dissemination of information about autism to teachers and support from trusted systems. Themes highlighted challenges such as communication differences, unfamiliar school processes, community and teacher misconceptions about autism. Facilitators the transition included proactive communication, shared goals and partnerships with school. Yosso’s Community Cultural Wealth Framework is integrated into the discussion of themes and the forms of cultural capital participants used to support their child. Conclusion: Recommendations for practice and research to support Hispanic and Latine autistic children during the kindergarten transition are provided.
90 years of catch data reveal changes in catch composition in the Australian east coast recreational marlin fishery
Authors: Guillemin Tristan A. , Pepperell Julian G. , Schilling Hayden T. , Williamson Jane E. 
Published: January 2025

Abstract
Long-term continuous datasets that record fishery catch are key to predicting and managing changes in fisheries. Unfortunately, long-term datasets are rare for recreational fisheries, which hinders our ability to understand long-term changes within these fisheries. Here we use several unconventional long-term datasets, including tournament and tagging program data, to assess changes in catch composition over time in the Australian east coast marlin fishery. We found significant changes to the species and size composition of species within the fishery over time. In the 1930s, catch was solely comprised of striped (Kajikia audax) and black (Istiompax indica) marlin. Black marlin proportionally dominated the fishery in the 1940s to 1980s, but the proportions of blue (Makaira nigricans) and striped marlin increased significantly from the 1980s until present. Currently, the fishery is comprised of primarily striped and black, and to a lesser extent blue marlin. Declines in the mean weight of black and striped marlin were also evident from the 1930s to 1980s. Technological advances improving offshore access may have driven changes in species composition. Our results demonstrate a potential change in technology and gear reshaping species composition within a fishery. This highlights how recreational fisheries, particularly those offshore, have changed with the technology over time, and the potential for future technological to dramatically alter recreational fisheries globally.

Graphic abstract
Transverse-Electric Surface Plasmon in Graphene Under Uniform Strain
Authors: Gómez L. A. Galeana , de la Cruz G. González 
Published: January 2025

Abstract
Compared to surface plasmon polariton in metals, graphene can support transverse electric (TE) surface modes when the imaginary part of its conductivity is negative. TE graphene plasmons are generally weakly confined in direction perpendicular to the graphene plane, and they cannot be resonantly excited by an external incident wave because their dispersion curve spectrally lies just below the light line. In this work, we investigate theoretically the light reflectance of a graphene layer under uniform strain on the top of a one-dimensional photonic crystal consisting of high and low-index dielectric materials and a material film layer on the graphene sheet. The strain not only changes the electronic band structure but also can be employed to influence the electronic collective excitations and thus the optical reflectance of graphene monolayers. We demonstrate that TE plasmon excitation is based on the observation of a pronounced sharp minimum in the reflection coefficient of the suggested photonic structure upon the incident angle, the wavelength, and refractive index. Therefore, the graphene under uniform strain on the photonic structure is found to be promising in the fabrication of optical sensors devices with TE plasmons.
The Contribution of Adverse Childhood Experiences and Neighborhood Characteristics on Outcomes Experienced by Urban Dwelling Black Men After Serious Traumatic Injury
Authors: Richmond Therese S. , Quinn Ryan , Duan Anna , Morrison Christopher N. , Kassam-Adams Nancy , Boateng Augustine Cassis Obeng , Jacoby Sara F. 
Published: January 2025

Abstract
Depression and post-traumatic stress disorder (PTSD) are serious consequences of physical injuries. Stress associated with living in urban neighborhoods with socioecological disadvantages and the cumulative burdens of adverse childhood experiences (ACEs) can lead to poorer psychological outcomes. Limited research has explored how ACEs and socioecological environmental exposures in childhood and adulthood, together, impact post-injury outcomes. This study assessed the relative contributions of ACEs and neighborhood exposures during childhood and adulthood on post-injury outcomes among Black men in Philadelphia. We used data from a prospective cohort of 414 Black men from the Philadelphia region, aged ≥ 18 years, who sustained acute physical injuries requiring hospitalization. Primary outcomes were post-injury PTSD and depression. Secondary outcomes were sleep quality, self-reported health status, changes in substance use, and return to work. The study used perceived and objective measures of neighborhood characteristics and self-reported ACEs to model their relative impact on outcomes 3 months after hospital discharge. Higher levels of ACEs and higher perceived neighborhood disorder during childhood and adulthood were significant predictors of PTSD and depression symptom severity. Perceived neighborhood disorder contributed to sleep disturbances and decline in post-injury health. Census/administrative objective measures of neighborhood disadvantage did not show consistent associations with post-injury outcomes. Findings suggest that both ACEs and subjective perception of neighborhood environments are critical factors influencing post-injury recovery in urban Black men. Interventions to improve post-injury outcomes should consider preventing ACEs and addressing the tangible conditions of neighborhoods and residents’ perceptions of their surroundings to promote health equity and injury recovery.