bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Validation of the Flipped‐Learning Assessment Scale for Undergraduate Nursing Education
Authors: Urcola‐Pardo Fernando , Subiron‐Valera Ana Belen , Anton‐Solanas Isabel , Orkaizagirre‐Gomara Aintzane , Torres‐Enamorado Dolores , Gonzalez‐Sanz Juan Diego 
Published: December 2024

ABSTRACTAimTo design and validate the Flipped‐Learning Assessment Scale; a tool for assessing students' experience of flipped learning.BackgroundFrequently, university students are introduced to new content during lectures. In contrast, active learning activities, such as Flipped Learning, are designed as an instructional method to engages students in the learning process.DesignCross‐sectional descriptive study.MethodsA cross‐sectional study was carried out in three phases ((1) item selection, rephrasing and translation; (2) content analysis through expert panel and (3) confirmatory factor analysis). The final version of the scale was piloted on a sufficient sample of undergraduate student nurses from three Spanish universities.ResultsA total of 455 students completed the questionnaire; 373 women and 82 men. The total Cronbach's alpha value for the complete instrument was 0.893. Cronbach alpha for each separate dimension ranged between 0.660 and 0.897. Goodness‐of‐fit values were acceptable, implying that the model was validated.ConclusionThe flipped learning approach has become increasingly popular in academic settings. Evaluating the students' flipped learning experience is important to analyse aspects such as acceptability and effectiveness of this methodology. The Flipped‐Learning Assessment Scale is a valid and reliable tool for analysing students' experience of flipped learning.ImpactFlipped learning has been a useful pedagogical model very for cultivating student skills in problem‐solving, critical thinking, teamwork and self‐active learning in nursing education. A key issues, such as student satisfaction, has been explored further before implementing this teaching and learning methodology.Patient or Public ContributionNone.
Convergence Analysis of a Nonconforming Virtual Element Method for Compressible Miscible Displacement Problems in Porous Media
Authors: Kumar Sarvesh , Shylaja Devika 
Published: December 2024

ABSTRACTThis article presents a priori error estimates for the miscible displacement of one compressible fluid by another in a porous medium. The study utilizes the conforming virtual element method (VEM) for the approximation of the velocity, while a non‐conforming virtual element approach is employed for the concentration. The pressure is discretized using the standard piecewise discontinuous polynomial functions. These spatial discretization techniques are combined with a backward Euler difference scheme for time discretization. Error estimates are established for velocity, pressure, and concentration. The article also includes numerical results that validate the theoretical estimates.
Microlayer Framework: Extension to Viscoelastic Material Behaviour for Finite Strains
Authors: May Marcel , Wollny Ines , Platen Jakob , Kaliske Michael 
Published: December 2024

ABSTRACTThe microlayer framework is a novel, powerful method for the numerical simulation of heterogeneous materials, such as aggregate‐matrix composites across different scales. In this work, the microlayer framework is prepared for viscoelastic material behaviour for the first time. The kinematics of the representative volume element on the microlevel is selected in a manner that the material behaviour of typical composites, such as asphalt or concrete, can be modelled. The constitutive relationships on the microscale are developed independently from the macroscale. The prerequisites for correct computational homogenisation are thus met. The thermodynamically motivated scale transition is demonstrated using the Principle of Multiscale Virtual Power. Numerical examples are presented to show that the chosen formulation can reproduce the typical characteristics of viscoelastic material behaviour.
Revisiting Photovoltaic Module Antireflection Coatings: A Novel, Dense Sol–Gel Design to Address Long‐Standing Durability Limitations
Authors: Zeng Yiyu , Gentle Angus , Webster Richard , Yang Zhen , Zhou Zibo , Song Ning , Keevers Mark , Green Martin , Jiang Jessica Yajie 
Published: December 2024

ABSTRACTThe antireflection (AR) coating applied to solar glass in photovoltaic modules has remained largely unchanged for decades, despite its well‐documented lack of durability. Traditional porous structured single‐layer AR coatings last as little as 5 years in the field. In this paper, we propose a novel five‐layer dense AR coating design that offers improved durability and effectiveness compared to traditional coatings. This paper provides detailed insights into the development and characterization of the novel five‐layer AR coating, including simulation, optical measurements, and abrasion testing, providing guidance to the photovoltaic community seeking to improve the efficiency and longevity of solar modules.
Scholarly Productivity of School Psychology Faculty 2016–2020
Authors: Hulac David M. , Aspiranti Kathleen B. , Nyberg Jaden 
Published: December 2024

ABSTRACTReviews of the scholarly productivity of school psychologists are useful for informing people who are in positions to review school psychology faculty member work. Normative data can serve as a benchmark to understand how productive school psychology faculty members are. The current research investigates faculty members at universities who have been identified as teaching future school psychology by the National Association of School Psychologists (NASP). Data were collected for a total of 921 faculty members regarding their research output between January of 2016 and December of 2020. Faculty members who were visiting, adjunct, or appeared not to have a requirement for research publication were removed from the analysis. Additionally, the 50 most productive scholars were listed to provide researchers an opportunity to understand high productivity. These study results represent the most comprehensive review of the field's publication output over the 5‐year period and may be useful to tenure, promotion, and hiring committees who are in situations where they need to evaluate school psychology faculty members' scholarly output.
Study of Nanocomposites Based on Organoclay‐Filled Polypropylene/Poly(Butylene Succinate) Blends With Improved Electrical Properties
Authors: Taktak Sirine , Fakhfakh Slim , Jbara Omar , Rondot Sébastien 
Published: December 2024

ABSTRACTThis study explores the behavior of the polypropylene/polybutylene succinate (PP*/PBS) polymer blend and its nanocomposites containing varying amounts of organically modified montmorillonite (OMMT) (Cloisite20: C20) (1%, 2%, 3%, 5%, and 10%) when subjected to electron beam irradiation in a scanning electron microscope (SEM). More specifically, we have studied the electrical properties of nanocomposites, in particular the trapping and transport of electrons in the material, as well as the emission of electrons. To examine the storage and spreading of injected electrical charge in nanocomposites under electron irradiation, we used time‐resolved current analysis method by measuring the induced currents (displacement and leakage currents). In order to verify whether there is a link between the electrical properties and the dispersion of the nanoclay particles in the polymer matrix, structural analyses were also carried out by x‐ray diffraction (XRD). The results revealed a significant increase in the equilibrium trapped charge as the amount of clay nanoparticles introduced into the matrix increased. This trend can be attributed to both an increase in the number of involved traps and the presence of interfaces that act as defect sites. This was checked by determining the energy distribution of the traps using Simmons' approach. Correlating the measured displacement and leakage currents allowed us to demonstrate that the presence of clay nanoparticles leads to a decrease in the electron emission efficiency.
Socioeconomic impacts and assistance in economically and socially disadvantaged households in Maharashtra, India, during the COVID‐19 pandemic
Authors: Masa Rainier , Pathare Suresh , Varghese Jaimon , Srivastava Ankur , Jare Pradeep , Manzanares Miranda , Bilotta Neil , Chowa Gina 
Published: December 2024

AbstractCOVID‐19 has disproportionately affected the world's most economically and socially disadvantaged groups. Responses to COVID‐19's economic and social impacts differ between and within countries. Using data collected from 4814 households residing in India's Maharashtra state, we sought to characterize the magnitude of COVID‐19 impacts and the scale of social support or assistance provided to households affected during the onset of the first wave of COVID‐19 in the state of Maharashtra. In the state of Maharashtra, households in urban areas and from socially and economically disadvantaged groups had higher incident rates of experiencing COVID‐19 socioeconomic impacts. The most affected groups also reported receiving more COVID‐19 assistance than less affected groups. Household characteristics such as location, caste, and employment type may influence the rate at which impacts are experienced. Findings from this study suggest that social assistance reached the most affected groups, particularly socioeconomically vulnerable households.
Enhancing Mass Transfer of Reactive Oxygen and Nitrogen Species in Plasma‐Activated Water: A Molecular Dynamics Study on the Impact of Plasma Electric Fields
Authors: Zhu Haiwei , Luo Yuqing , Liu Dawei , Zhang Song , Lu Xinpei 
Published: December 2024

ABSTRACTThis study investigates the impact of plasma electric fields on the mass transfer characteristics of reactive oxygen and nitrogen species (RONS), specifically NO2 and O3, in water using molecular dynamics simulations. The results demonstrate that the plasma electric field significantly increases the thickness of the Gibbs Dividing Surface, reduces surface tension at the gas–liquid interface, and disrupts the hydrogen bond network. These changes lead to an enhanced solubility and self‐diffusion coefficient for both NO2 and O3. Due to stronger dipole–dipole interactions, NO2 exhibits superior mass transfer performance compared to O₃. This research provides theoretical support for the application of plasma‐activated water technology.
Teneurin C‐Terminal Associated Peptide (TCAP)‐1 Attenuates Restraint Stress‐Induced Corticosterone Increases in Male Mice and Rats
Authors: Mueller Lauren E. , Wexler Roseanne S. , Lovejoy David A. , Stein Robert B. , Slee Andrew M. 
Published: December 2024

ABSTRACTHyperactivation of the hypothalamic‐pituitary‐adrenal (HPA) axis response can result in anxiety and other neuropsychiatric disorders and effective therapeutics are needed to mitigate this maladaptive response. Here we examined the effects of Teneurin C‐terminal Associated Peptide (TCAP)‐1, a peptide known to inhibit corticotropin releasing factor (CRF)‐mediated stress, on the physiological expression of stress, and whether the effects of TCAP‐1 were dependent on the route of administration. We first examined whether subcutaneous administration of TCAP‐1 influenced tube restraint stress‐induced corticosterone (CORT) increases in both male mice and rats. Using a similar model, we further examined the efficacy and time course of intranasal TCAP‐1. Results showed that subcutaneous TCAP‐1 administration attenuated the expression of the physiological manifestation of stress in male mice and rats, and that intranasal TCAP‐1 delivered prophylactically is effective at attenuating stress‐induced CORT increases in male rats. These data indicate that TCAP‐1 delivered though non‐invasive routes of administration could have potential as a clinically relevant anxiolytic.
Entrepreneurial Back‐to‐Landers: How Neo‐Farmers in Turkey Choose Where to Settle
Authors: Turkkan Candan 
Published: December 2024

ABSTRACTRecently, a new trajectory of urban‐to‐rural migration has begun to emerge in the Turkish countryside. This trajectory consists of primarily white‐collar workers, born and raised in the cities, with no background in agriculture, leaving their jobs in the cities, moving to villages and taking up farming. In this paper, through semi‐structured interviews with 83 such ‘neo‐farmers,’ I explore how they choose where to settle. I argue that even though they are concentrated in the Marmara, the Aegean and the western Mediterranean regions, commonly considered as vacation resorts with easy access to major cities, this concentration does not indicate a desire to continue urban habits and lifestyles. Rather, I show that they choose where to settle through a tradeoff between new lifestyle priorities, and political, social and economic constraints. I argue that economic and non‐economic factors act as priorities and constraints, and that the eventual choice rests on a complex calculation, determined, in the final stage, by non‐economic factors; more precisely, migrants' perceptions of the social and the political leanings of the larger community into which they are thinking of moving, and their thoughts on whether they can fit in or not.
A simple and cost‐effective sample preparation and storage method for stable isotope analysis of atmospheric CO2 for GasBench II/continuous flow isotope ratio mass spectrometry
Authors: Manaj Savio , Kim Sang‐Tae 
Published: December 2024

RationaleThe stable isotope compositions of atmospheric CO2 can provide useful insight into various geochemical processes and carbon cycles on Earth, which is critical for understanding of Earth's changing climate. Here, we present a simple and cost‐effective analytical method for the collection and measurement of carbon and oxygen isotope compositions of atmospheric CO2.MethodsAir samples of ~150 mL were collected individually or collectively using our simple active air collection system and then extracted on a vacuum purification line to remove noncondensable gases and atmospheric water vapor. The efficiency of removing atmospheric water vapor was tested by using a magnesium perchlorate desiccant trap and a dry ice/ethanol trap. Lastly, a “J‐Cut tube sealing/cracking method” was developed to store and transfer purified atmospheric CO2 to the GasBench II and CF‐IRMS system for δ13C and δ18O measurements.ResultsThe collective active air collection method combined with the full sample air extraction method for a 3‐min transfer time or “Full 3m TE” yields the best analytical precision of 0.07‰ (δ13C) and 0.04‰ (δ18O). Removing atmospheric water vapor from air samples is not necessary for δ13C, but essential for δ18O measurements. The J‐Cut tube sealing/cracking method shows a near 100% effectiveness for the storage and transfer of atmospheric or any CO2.ConclusionsA simple and cost‐effect method was developed for the collection, purification, storage, and isotopic analysis of indoor/outdoor atmospheric CO2 samples for general users. This method utilizes a popular headspace gas sample preparation system for CF‐IRMS and an easy‐to‐build vacuum purification line without involving complex and high‐cost devices for the preparation of atmospheric CO2.
Mild Magnetothermal Immunotherapy for Malignant Pleural Effusion
Authors: Min Tao , Yang Chunzheng , Zhang Minghui , Hu Ping , Shi Jianlin 
Published: December 2024

AbstractMalignant pleural effusion (MPE) is one of the most difficult complications of cancer to cure, usually indicating poor prognosis in late‐stage cancer patients. Due to the presence of a large number of tumor‐associated immune cells with the tumor promoting phenotype in MPE and pleural tumors, current clinical therapy offers limited effectiveness. Here, a mild magnetothermal regulation strategy is proposed based on a magnetic nanocatlytic nanoplatform ZCMF@PEG‐AF (ZCMF‐AF) constructed by surface‐modifying anti‐F4/80 antibody (AF) on ZnCoFe2O4@ZnMnFe2O4 magnetic nanoparticles (ZCMF) to target and polarize tumor‐associated macrophages. Under alternating magnetic field‐induced hyperthermia (41–42 °C), ZCMF‐AF exhibits in situ nanocatalytic production of hydroxyl radicals via released iron ions under acidic cellular environment, which induces repolarization from the immunosuppressed M2 phenotype to the M1 phenotype. More importantly, the tumor cell damage induced by M1 macrophages and magnetic hyperthermia promote the maturation of dendritic cells, which subsequently awakens cytotoxic T lymphocytes to combat tumor cells. The integrated innate and adaptive immunity activations based on ZCMF‐AF nano‐immunomedicine through intrapleural administration elicit substantially regulated immune microenvironment of MPE and pleural tumors. Moreover, the interpleural magnetic nanoparticle‐based immunotherapy effectively reduced the MPE volume and inhibited tumor growth in the pleural cavity, significantly prolonging the survival of the MPE‐bearing mice.
Effective Strain Engineering of 2D Materials via Metal Deposition
Authors: Sun Xuechun , Chen Han , Ji Chen , Yu Lida , Wang Rui , Shen Jichuang 
Published: December 2024

Abstract2D materials, especially their monolayers, have garnered significant attention due to their unique electrical, optical and mechanical properties. Strain engineering is an effective way to modulate these properties. However, challenges remain in preventing slip or decoupling between the 2D material and the substrate due to the inherent weak van der Waals interactions. In this study, metal films are employed to apply strain to 2D materials. The high surface energy of metals helps to provide higher interaction forces, thereby improving strain transfer efficiency. Biaxial compressive and uniaxial tensile strain can be applied to monolayer MoS2, with the highest modulation rate of 542 and 161.7 meV/%, respectively, as characterized by photoluminescence (PL) spectra. Furthermore, this new approach can be broader to other 2D materials, such as WS2 or WSe2, allowing for precise control over strain manipulation. The work introduces a promising new approach for efficient and controllable strain engineering of 2D materials.
Recent Advances of Photocatalytic CO2 Reduction Based on Hybrid Molecular Catalyst/Semiconductor Photocatalysts: A Review
Authors: Xu Shuang , Li Xuejing , Li Shuming , Rao Heng , Qin Jun‐sheng , She Ping , Cheong Weng‐Chon (Max) , Jing Liqiang 
Published: December 2024

AbstractMolecular catalysts often exhibit superior activity and selectivity in the process of photocatalytic reduction of CO2 (PCR). However, the practical application of molecular catalysts is restricted by the unsatisfied charge separation, low stability, and recycling difficulty. Fortunately, constructing organic–inorganic hybrids of molecular catalysts and semiconductors can tackle the above problems, which can improve the efficiency of charge separation and keep beneficial active sites simultaneously. However, there is no comprehensive review of the state‐of‐the‐art of the molecular catalyst/semiconductor hybrids. Herein, the present advances and challenges of the molecular catalyst/semiconductor hybrids for PCR application are outlined. Specifically, the review is summarized by the composition of semiconductors adopted to form the hybrids with molecular catalysts, including metal oxide, carbon nitride (CN), graphene, quantum dots, sulfides, layered double hydroxides (LDH), molecular complexes, and so on. The review presented here is expected to guide the design of efficient inorganic‐organic composites for solar energy conversion.
Tackling the Activity Trend of Metal‐Loaded Metal Nitride Catalysts for NH3 Synthesis by a First‐Principles Microkinetic Study
Authors: Yang Qianqian , Gao Qijun , Song Jia , Cheng Anqi , Wu Xinhe , Liu Peng Fei , Yang Hua Gui , Yuan Haiyang 
Published: December 2024

AbstractAmmonia (NH3) is one of the most widely produced chemicals globally, primarily synthesized through the Haber‐Bosch process, which requires high temperatures and pressures. Dual‐site catalysts can activate N2 and H2 at spatially separated sites, enabling efficient NH3 synthesis under milder conditions. Despite the rapid experimental progress of the dual‐site catalysts (e.g., Ni‐LaN), the feasibility and design of dual‐site catalysts are challenged recently. Herein, the different metal‐loaded metal nitride catalyst models are employed, and their activity map for NH3 synthesis is explored by the first‐principles microkinetic simulation. The optimum active region of this type of dual‐site catalyst is identified in terms of the formation energy (Ev) of nitrogen vacancy (Nvac) on metal nitride and the adsorption energy (EH) of hydrogen atom on metal cluster, with Ev and EH ideally located around ≈1.50 and ≈−0.30 eV, respectively. This offers a framework for designing effective metal‐loaded metal nitride catalysts for NH3 synthesis. Importantly, this trend aligns with and rationalizes the current experimental observations of metal‐loaded metal nitride reported for NH3 synthesis. This theoretical work provides significant insights into NH3 synthesis on dual‐site mechanism, and provides a rational direction for designing metal‐loaded metal nitride catalysts.
MicroRNAs Dependent G‐ELNs Based Intervention Improves Glucose and Fatty Acid Metabolism While Protecting Pancreatic β‐Cells in Type 2 Diabetic Mice
Authors: Bajaj Geetika , Choudhary Diksha , Singh Vishal , Priyadarshi Nitesh , Garg Priyanka , Mantri Shrikant Subhash , Rishi Vikas , Singhal Nitin Kumar 
Published: December 2024

AbstractMetabolic disorders such as Type 2 diabetes mellitus (T2DM) imposes a significant global health burden. Plant‐derived exosome like nanoparticles (P‐ELNs) have emerged as a promising therapeutic alternate for various diseases. Present data demonstrates that treatment with Ginger‐derived exosome like nanoparticles (G‐ELNs) enhance insulin dependent glucose uptake, downregulate gluconeogenesis and oxidative stress in insulin resistant HepG2 cells. Furthermore, oral administration of G‐ELNs in T2DM mice decreases fasting blood glucose levels and improves glucose tolerance as effectively as metformin. These improvements are attributed to the enhanced phosphorylation of Protein kinase B (Akt‐2), the phosphatidylinositol 3‐kinase at serine 474 which consequently leads to increase in hepatic insulin sensitivity, improvement in glucose homeostasis and decrease in ectopic fat deposition. Oral administration of G‐ELNs also exerts protective effect on Streptozotocin (STZ)‐induced pancreatic β‐cells damage, contributing to systemic amelioration of T2DM. Further, as per computational tools, miRNAs present in G‐ELNs modulate the phosphatidylinositol 3‐kinase (PI3K)/Akt‐2 pathway and exhibit strong interactions with various target mRNAs responsible for hepatic gluconeogenesis, ectopic fat deposition and oxidative stress. Furthermore, synthetic mimic of G‐ELNs miRNA effectively downregulates its target mRNA in insulin resistant HepG2 cells. Overall, the results indicate that the miRNAs present in G‐ELNs target hepatic metabolism thus, exerting therapeutic effects in T2DM.