bluuebunny/crossref_metadata_2025_split huggingface dataset:
An atlas of small non-coding RNAs in human preimplantation development
Authors: Russell Stewart J. , Zhao Cheng , Biondic Savana , Menezes Karen , Hagemann-Jensen Michael , Librach Clifford L. , Petropoulos Sophie 
Published: October 2024

AbstractUnderstanding the molecular circuitries that govern early embryogenesis is important, yet our knowledge of these in human preimplantation development remains limited. Small non-coding RNAs (sncRNAs) can regulate gene expression and thus impact blastocyst formation, however, the expression of specific biotypes and their dynamics during preimplantation development remains unknown. Here we identify the abundance of and kinetics of piRNA, rRNA, snoRNA, tRNA, and miRNA from embryonic day (E)3-7 and isolate specific miRNAs and snoRNAs of particular importance in blastocyst formation and pluripotency. These sncRNAs correspond to specific genomic hotspots: an enrichment of the chromosome 19 miRNA cluster (C19MC) in the trophectoderm (TE), and the chromosome 14 miRNA cluster (C14MC) and MEG8-related snoRNAs in the inner cell mass (ICM), which may serve as ‘master regulators’ of potency and lineage. Additionally, we observe a developmental transition with 21 isomiRs and in tRNA fragment (tRF) codon usage and identify two novel miRNAs. Our analysis provides a comprehensive measure of sncRNA biotypes and their corresponding dynamics throughout human preimplantation development, providing an extensive resource. Better understanding the sncRNA regulatory programmes in human embryogenesis will inform strategies to improve embryo development and outcomes of assisted reproductive technologies. We anticipate broad usage of our data as a resource for studies aimed at understanding embryogenesis, optimising stem cell-based models, assisted reproductive technology, and stem cell biology.
Ultra-permeable silk-based polymeric membranes for vacuum-driven nanofiltration
Authors: Gan Bowen , Peng Lu Elfa , Liu Wenyu , Zhang Lingyue , Wang Li Ares , Long Li , Guo Hao , Song Xiaoxiao , Yang Zhe , Tang Chuyang Y. 
Published: October 2024

AbstractNanofiltration (NF) membranes are commonly supplied in spiral-wound modules, resulting in numerous drawbacks for practical applications (e.g., high operating pressure/pressure drop/costs). Vacuum-driven NF could be a promising and low-cost alternative by utilizing simple components and operating under an ultra-low vacuum pressure (<1 bar). Nevertheless, existing commercial membranes are incapable of achieving practically relevant water flux in such a system. Herein, we fabricated a silk-based membrane with a crumpled and defect-free rejection layer, showing water permeance of 96.2 ± 10 L m−2 h−1 bar−1 and a Na2SO4 rejection of 96.0 ± 0.6% under cross-flow filtration mode. In a vacuum-driven system, the membrane demonstrates a water flux of 56.8 ± 7.1 L m−2 h−1 at a suction pressure of 0.9 bar and high removal rate against various contaminants. Through analysis, silk-based ultra-permeable membranes may offer close to 80% reduction in specific energy consumption and greenhouse gas emissions compared to a commercial benchmark, holding great promise for advancing a more energy-efficient and greener water treatment process and paving the avenue for practical application in real industrial settings.
3D bioprinting of fish skin-based gelatin methacryloyl (GelMA) bio-ink for use as a potential skin substitute
Authors: Tanadchangsaeng Nuttapol , Pasanaphong Kitipong , Tawonsawatruk Tulyapruek , Rattanapinyopituk Kasem , Tangketsarawan Borwornporn , Rawiwet Visut , Kongchanagul Alita , Srikaew Narongrit , Yoyruerop Thanaporn , Panupinthu Nattapon , Sangpayap Ratirat , Panaksri Anuchan , Boonyagul Sani , Hemstapat Ruedee 
Published: October 2024

AbstractGelatin methacryloyl (GelMA), typically derived from mammalian sources, has recently emerged as an ideal bio-ink for three-dimensional (3D) bioprinting. Herein, we developed a fish skin-based GelMA bio-ink for the fabrication of a 3D GelMA skin substitute with a 3D bioprinter. Several concentrations of methacrylic acid anhydride were used to fabricate GelMA, in which their physical-mechanical properties were assessed. This fish skin-based GelMA bio-ink was loaded with human adipose tissue-derived mesenchymal stromal cells (ASCs) and human platelet lysate (HPL) and then printed to obtain 3D ASCs + HPL-loaded GelMA scaffolds. Cell viability test and a preliminary investigation of its effectiveness in promoting wound closure were evaluated in a critical-sized full thickness skin defect in a rat model. The cell viability results showed that the number of ASCs increased significantly within the 3D GelMA hydrogel scaffold, indicating its biocompatibility property. In vivo results demonstrated that ASCs + HPL-loaded GelMA scaffolds could delay wound contraction, markedly enhanced collagen deposition, and promoted the formation of new blood vessels, especially at the wound edge, compared to the untreated group. Therefore, this newly fish skin-based GelMA bio-ink developed in this study has the potential to be utilized for the printing of 3D GelMA skin substitutes.
Effectiveness of copper oxychloride coated with iron nanoparticles against earthworms
Authors: Kumari Tamanna , Phogat Deepak , Jakhar Navneet , Shukla Vineeta 
Published: October 2024

AbstractThis study examines the potential of iron nanoparticle-coated copper oxychloride in mitigating its toxic effects on earthworms, a key component of sustainable agriculture due to their role in enhancing soil quality and promoting plant growth. While earthworms and their coelomic fluid play a crucial role in enhancing soil health and promoting plant growth. Copper oxychloride, a commonly used fungicide, induces oxidative stress by disrupting antioxidant defense mechanisms in living systems. Through probit analysis, the median lethal concentration (LC50) of copper oxychloride was determined to be 2511.9 mg/kg. Artificial soil was treated with copper oxychloride at 60% and 80% of LC50, but the addition of iron nanoparticle-coated fungicide successfully reduced earthworm mortality to 0%. These findings offer promising insights into protecting non-target organisms from fungicide toxicity while maintaining agricultural productivity. The findings present a potential breakthrough in sustainable agriculture by demonstrating how nanotechnology can mitigate the harmful effects of fungicides on essential soil fauna. The use of iron nanoparticle-coated fungicides not only protects earthworms but also offers a path to maintaining ecological balance and enhancing crop productivity without compromising soil health.
An investigation of perceived risk dimensions in acceptability of shared autonomous vehicles, a mediation-moderation analysis
Authors: Abbasi Mohammadhossein , Mamdoohi Amir Reza , Ciari Francesco , Sierpiński Grzegorz 
Published: October 2024

AbstractThe integration of shared and autonomous mobility has led to the emergence of shared autonomous vehicles with ride-sharing services (SAVWRS), which have the potential to significantly reduce private car usage and promote sustainable transportation. Despite numerous studies on this topic, there is still no research examining the impact of all dimensions of perceived risk theory on usage intention. Therefore, we aim to investigate these relationships and gain deeper insights by examining the mediating effect of trust and the moderating effect of generation (Millennials vs. Baby Boomers) to address potential disparities across generations. To gather insights, we design an online survey that was completed by a random sample of 723 individuals in 2021. The estimation results of the structural equation model reveal that all perceived risk dimensions (social, performance, time, physical, security, and financial risks, in descending order) are negatively related to consumers’ intention. Additionally, trust fully mediates the relationships between performance, physical, financial, and security risks and usage intention, whereas it partially mediates the relationships between social and time risks and the intention to use. Furthermore, moderation analysis revealed that Millennials are less concerned about most dimensions of perceived risk theory, except for social and time risks. In conclusion, our study contributes to a deeper understanding of the complex relationships between perceived risk dimensions, trust, and usage intention in SAVWRS. Our findings suggest that policymakers and industry stakeholders should consider strategies to address these concerns to promote widespread acceptance of SAVWRS.
Impact of coupled input data source-resolution and aggregation on contributions of high-yielding traits to simulated wheat yield
Authors: Rezaei Ehsan Eyshi , Faye Babacar , Ewert Frank , Asseng Senthold , Martre Pierre , Webber Heidi 
Published: October 2024

AbstractHigh-yielding traits can potentially improve yield performance under climate change. However, data for these traits are limited to specific field sites. Despite this limitation, field-scale calibrated crop models for high-yielding traits are being applied over large scales using gridded weather and soil datasets. This study investigates the implications of this practice. The SIMPLACE modeling platform was applied using field, 1 km, 25 km, and 50 km input data resolution and sources, with 1881 combinations of three traits [radiation use efficiency (RUE), light extinction coefficient (K), and fruiting efficiency (FE)] for the period 2001–2010 across Germany. Simulations at the grid level were aggregated to the administrative units, enabling the quantification of the aggregation effect. The simulated yield increased by between 1.4 and 3.1 t ha− 1 with a maximum RUE trait value, compared to a control cultivar. No significant yield improvement (< 0.4 t ha− 1) was observed with increases in K and FE alone. Utilizing field-scale input data showed the greatest yield improvement per unit increment in RUE. Resolution of water related inputs (soil characteristics and precipitation) had a notably higher impact on simulated yield than of temperature. However, it did not alter the effects of high-yielding traits on yield. Simulated yields were only slightly affected by data aggregation for the different trait combinations. Warm-dry conditions diminished the benefits of high-yielding traits, suggesting that benefits from high-yielding traits depend on environments. The current findings emphasize the critical role of input data resolution and source in quantifying a large-scale impact of high-yielding traits.
Optimization of small coal pillar width and control measures in gob-side entry excavation of thick coal seams
Authors: Xue Yan-ping 
Published: October 2024

AbstractThis study introduces an innovative optimized bolting support system specifically tailored for gob-side entry excavation in thick coal seams at a coal mine in southwestern Shandong, China. Employing theoretical analysis, numerical simulation, and field measurements, the research focuses on examining the failure characteristics of surrounding rock during gob-side entry excavation. The key innovation lies in the development of a 5-meter optimal coal pillar width, ensuring balanced stress distribution and structural integrity. Additionally, a lag time of at least 46 days between gob-side entry excavation and the upper working face retreat is recommended to mitigate roof subsidence and surrounding rock deformation. The optimized bolting support system, featuring increased bolt pretension, utilization of high-strength steel strips, and reinforcement of weak points, effectively reduces deformation of the roadway surrounding rock, meeting support requirements for normal production. This novel approach successfully addresses the support challenges in thick coal seam gob-side entry excavation, enhancing mining safety and resource recovery rates.
Nitrite manipulation in water by structure change of plasma electrolysis reactor
Authors: Baharlounezhad Fatemeh , Mohammadi Mohammad Ali 
Published: October 2024

AbstractIn this study, experimental reactors for cathodic nitrogen plasma electrolysis were designed by the composition of galvanic (voltaic) and electrolytic cells with wide and narrow connectors filled with tap water and agar solutions. The designed reactor can be used to simultaneously perform and manage nitrification in acidic and alkaline environments. According to the reactor’s performance, it can be installed on the irrigation system and used depending on the soil pH of the fields for delivering water and nitrogen species that are effective in growth. The nitrification process was investigated by choosing the optimal reactor with a wide connector based on different changes in oxidation-reduction potential and pH on the anode and cathode sides. The nitrite concentration changed directly with ammonium and nitrate concentrations on the cathode side. It changed inversely and directly with ammonium and nitrate concentrations on the anode side respectively. Nitrite concentration decreased from 5.387 ppm with water connector, to 0.326 ppm with 20% agar solution, and 0.314 ppm with 30% agar solution connectors on the anode side. It increased from 0 ppm to 0.191 ppm with a water connector, 0.405 ppm with 20% agar solution, and 7.454 ppm with 30% agar solution connectors on the cathode side.
A systematic review of individual, social, and societal resilience factors in response to societal challenges and crises
Authors: Schäfer Sarah K. , Supke Max , Kausmann Corinna , Schaubruch Lea M. , Lieb Klaus , Cohrdes Caroline 
Published: October 2024

AbstractSocietal challenges put public mental health at risk and result in a growing interest in resilience as trajectories of good mental health during stressor exposure. Resilience factors represent multilevel psychosocial resources that increase the likelihood of resilient responses. This preregistered systematic review aims at summarizing evidence on the predictive value of individual, social and societal resilience factors for resilient responses to societal challenges and crises. Eligible studies examined the predictive value of resilience factors in stressor-exposed populations in high-income countries by means of multinomial regression models based on growth mixture modeling. Five databases were searched until August 2, 2023. Data synthesis employed a rating scheme to assess the incremental predictive value of resilience factors beyond sociodemographic variables and other resilience factors. An adapted version of the Newcastle-Ottawa Scale was used for risk of bias assessment. Fifty studies (sample sizes: 360–65,818 participants) with moderate study quality reported on various stressors (e.g., pandemics, natural disasters, terrorist attacks). Higher income, socioeconomic status and perceived social support, better emotion regulation and psychological flexibility were related to more resilient responses. The association between resilience factors and resilient responses was stronger in samples with younger mean age and a larger proportion of women. Most studies used non-representative convenience samples and effects were smaller when accounting for sociodemographic variables and other resilience factors. For many factors, findings were mixed, supporting the importance of the fit between resilience factors and situational demands. Research into social and societal resilience factors and multilevel resilience interventions is needed. Preregistration-ID: 10.17605/OSF.IO/GWJVA. Funding source: Robert Koch Institute (ID: LIR_2023_01).
Enhance low‐carbon power system operation via carbon‐aware demand response
Authors: Chen Xin 
Published: October 2024

AbstractAs the electrification process advances, enormous power flexibility is becoming available on the demand side, which can be harnessed to facilitate power system decarbonisation. Hence, this paper studies the carbon‐aware demand response (C‐DR) paradigm, where individual users aim to minimise their carbon footprints through the optimal scheduling of flexible load devices. The specific operational dynamics and constraints of deferrable loads and thermostatically controlled loads are considered, and the carbon emission flow method is employed to compute users' carbon footprints with nodal carbon intensities. Then, an optimal power dispatch model that integrates the C‐DR mechanism is proposed for low‐carbon power system operation, based on the carbon‐aware optimal power flow method. Two solution algorithms, including a centralised Karush–Kuhn–Tucker reformulation algorithm and an iterative solution algorithm, are developed to solve the bi‐level power dispatch optimisation model. Numerical simulations on the IEEE New England 39‐bus system demonstrate the effectiveness of the proposed methods.
Wireless LED controller IC for smart contact lens system
Authors: Jeon Cheonhoo , Koo Jahyun 
Published: October 2024

AbstractThis letter presents a wirelessly powered LED driving circuit for a smart contact lens system. Since photobiomodulation has been investigated for ocular disease treatment by irradiating light with a specific wavelength, a smart contact lens equipped with a µLED and its controller IC can be utilized as a phototherapy system. The proposed circuit design facilitates constant‐current generation to drive the LED and incorporates a wirelessly powered system. The system can be turned on and off in synchronization with an external wireless power source, providing controllability for the LED's irradiation period and intensity. The IC is fabricated in the 180‐nm CMOS process with a die area of 1.0 mm2 and integrated into the smart contact lens with an external loop antenna and a far red/NIR LED. The measurement demonstrates the irradiation period of the LED is successfully controlled by the external source, with current levels from 0.53 mA to 1.4 mA, thereby confirming the feasibility of the phototherapy system.
Machbarkeit eines digitalen Übungsprogramms in der pädiatrischen
Onkologie
Authors: Soinski Nicole , Cario Gunnar , Riou Anouk , Schmidt Thorsten 
Published: October 2024

Zusammenfassung
Einleitung Kinder und Jugendliche bewegen sich während und nach einer
onkologischen Behandlung weniger als Gleichaltrige und weisen eine geringere
Leistungsfähigkeit und gesundheitsbezogene Lebensqualität (HRQoL) auf. Das
Konzept der Telemedizin ist ein vielversprechender Ansatz, um die
Versorgungsstruktur zu erweitern und Barrieren wie Entfernung, Zeit und Kosten
zu verringern. Diese Studie untersucht die Machbarkeit und Adhärenz eines
digitalen Übungsprogramms in der pädiatrischen Onkologie sowie den Einfluss auf
die motorische Leistungsfähigkeit und HRQoL.
Methoden Eingeschlossen wurden Kinder und Jugendliche im Alter von 6–19
Jahren während und nach einer Krebsbehandlung. Die Intervention erstreckte sich
über einen Zeitraum von 8 Wochen mit einer Trainingsempfehlung von 2
Einheiten/Woche. Die ersten drei Trainingseinheiten wurden unter direkter
Aufsicht durchgeführt und dann von den Teilnehmenden selbst, unter wöchentlicher
telemedizinischer Aufsicht, absolviert. Der Trainingsplan stand in einem
digitalen Programm zur Verfügung und war ortsunabhängig zugänglich. Die Adhärenz
wurde anhand der Anzahl der absolvierten Trainingseinheiten beurteilt. Die
motorische Leistungsfähigkeit und die HRQoL wurden zu Beginn (t0) und
nach 8 Wochen (t1) bewertet.
Ergebnisse Zehn Studienteilnehmende wurden rekrutiert, neun beendeten die
Intervention. Von den zwei Trainingseinheiten pro Woche wurden 63% absolviert.
Die häufigsten Gründe für eine Nichtteilnahme oder reduzierte Teilnahme (<
2/Woche) waren Krankheit (43%) und medizinische Eingriffe (29%). Verbesserungen
der motorischen Leistungsfähigkeit traten beim Einbeinstand und bei der
Griffkraft auf. Auch die HRQoL verbesserte sich in allen Therapiegruppen.
Schlussfolgerung Die Ergebnisse dieser Studie legen nahe, dass ein
digitales Übungsprogramm in der pädiatrischen Onkologie durchführbar und sicher
ist. Die durchgeführte Intervention scheint vielversprechend in Bezug auf die
Verringerung der therapiebedingten Inaktivität und die Verbesserung der
motorischen Leistung und der HRQoL. Das untersuchte Programm bietet die
Möglichkeit eines individuellen Trainingsplans, der von qualifiziertem
Fachpersonal überwacht wird und unabhängig von der Entfernung zu einem
onkologischen Spitzenzentrum durchgeführt werden kann. Es kann einen
zusätzlichen Baustein in der Sport- und Bewegungstherapie in der pädiatrischen
Onkologie darstellen. Zur Bestätigung dieser Annahmen ist eine groß angelegte
Studie geplant.
The future of medicine or a threat? Artificial intelligence representation in Chicago Med
Authors: Nádasi Eszter , Héder Mihály 
Published: October 2024

AbstractThe eighth season of the American medical drama series Chicago Med (2015–) represented the application of artificial intelligence (AI) in a hospital environment with multiple storylines. Born in the 1950s, medical dramas are among the most popular forms of serial television. Traditionally, the genre aims for a certain amount of accuracy and has educational goals. Former studies investigated the entertainment education and cultivation effects of these series, concluding that these dramas have the potential to contribute information and shape viewers’ opinions on various health-related topics. Chicago Med is a long-running broadcast production with a worldwide audience and considerable viewership. This paper analyzes the series’ representation of medical AI and discusses how this portrayal potentially shapes the audience’s opinion. The research started by identifying artificial intelligence-related storylines in the 22 episodes of the season. The analysis focused on the reasons and outcomes of AI applications, the character’s attitudes, and the ethical issues, including transparency, selective adherence, automation bias, responsibility gap, hallucination, unequal access, and political dimensions. The storyline analysis concluded that Chicago Med provided thought-provoking positive and negative scenarios about applying different types of AI in the surgical and emergency departments. The complex portrayal included groundbreaking opportunities, challenges, dangers, and ethical considerations. The main characters’ attitudes varied, from strong support or opposition to more nuanced, shifting opinions. The educative and engaging content has a potential for knowledge transfer and encourages critical thinking about medical AI.