bluuebunny/crossref_metadata_2025_split huggingface dataset:
Patient Satisfaction of Porcelain Veneer at the Odonto-Stomatology Hospital, Vietnam
Authors: Huong Chu Thi Quynh , Hai Trinh Dinh 
Published: December 2023

Abstract
Objective The aim of this study was to study the clinical characteristics and patient satisfaction of the porcelain veneer aesthetic restoration at the Central Odonto-Stomatology Hospital, Vietnam.
Materials and Methods This is a cross-sectional descriptive study of 94 teeth in 12 patients with indications for glass-ceramic restorations at the Department of Prosthodontics at the Central Odonto-Stomatology Hospital during the period from July 2021 to December 2022. Porcelain veneer aesthetic restorations in patients were evaluated using FDI World Dental Federation clinical criteria for the evaluation of veneer restorations for the esthetic parameters, functional parameters, biological parameters, and reliability. The evaluation was done immediately after installation and after 3 months. Evaluation of aesthetics, function, biology, and satisfaction was done using a scale (Scale 1–5). Data were analyzed using SPSS 18 software and descriptive statistics were calculated.
Results It showed that the achieved results were good in terms of good to very good shape (100%) and good to very good color (98.8%). Three months after installation, the veneer restorations were stable in shape and color. The restorations were aesthetically and functionally satisfactory with no signs of broken or detachment.
Conclusion Porcelain veneer restorations helped to improve the tooth shape and color. The patients were satisfied with the veneer restorations.
Neuro-oncology Treatment Strategies for Primary Glial Tumors
Authors: Santos-Pinheiro Fernando , Graber Jerome J. 
Published: December 2023

AbstractPrimary brain tumors underwent reclassification in the 2021 World Health Organization update, relying on molecular findings (especially isocitrate dehydrogenase mutations and chromosomal changes in 1p, 19q, gain of chromosome 7 and loss of chromosome 10). Newer entities have also been described including histone 3 mutant midline gliomas. These updated pathologic classifications improve prognostication and reliable diagnosis, but may confuse interpretation of prior clinical trials and require reclassification of patients diagnosed in the past. For patients over seventy, multiple studies have now confirmed the utility of shorter courses of radiation, and the risk of post-operative delirium. Ongoing studies are comparing proton to photon radiation. Long term follow up of prior clinical trials have confirmed the roles and length of chemotherapy (mainly temozolomide) in different tumors, as well as the wearable novottf device. New oral isocitrate dehydrogenase inhibitors have also shown efficacy in clinical trials.
Digital archetypes: a tool for understanding personality characteristics in the digital culture
Authors: Viloria-Núñez César , Tovar Marcela , Millán Anthony Constant 
Published: December 2023

AbstractIn different organizational areas, the theories and tools of archetypes have been very important to know the interests, strengths and weaknesses of each member of the work teams, as well as the main aspects to be considered to develop their greatest potential. Organizational culture, known as the set of beliefs, behaviors, values and collective practices that characterize a group of collaborators of the same organization, is based on the combination of these individual personalities. For this reason, when managing teams to execute and implement digital projects, it is important to consider the archetypes and digital profiles that allow to identify the basis of the digital culture of the organization. In this article, a theoretical basis is presented to propose a model of digital archetypes based on previously developed archetype theories. Two personality axes are proposed in order to define 4 archetypes that combine and form 8 digital personality profiles. A case study is presented in which the identification of the digital profiles of members of a work team allowed the definition of change management strategies to enhance the results of the work team. This work looks forward to proposing a specific definition of the factors to consider in generating concrete and valid resources for the identification of archetypes and digital profiles.
Prevalence of neuromyths among students and pre-service teachers
Authors: Khramova Marina V. , Bukina Tatyana V. , Smirnov Nikita M. , Kurkin Semen A. , Hramov Alexander E. 
Published: December 2023

AbstractRecent studies have shown that the knowledge of society about the functioning of the brain does not correspond to neuroscience data. The high prevalence of neuromyths can become a problem in the development of educational technologies. The goal of this study is to identify the prevalence of neuromyths among pre-service teachers and students of other faculties. The prevalence of neuromyths among 958 university students was studied using an anonymous survey. It was found that the specialty influenced the results: chemistry and biology students, as well as physics, mathematics, and computer science students, answered better. The effect of education is weak. Nevertheless, it has led to an alignment of results between the specialties in the older group. Self-education has a significant positive effect on students’ recognition of neurofacts. The study confirms that certain neuromyths are especially popular among students and allows us to draw conclusions about the prevalence of neuromyths among future teachers.
Preventing bullying of students with special educational needs through dialogic gatherings: a case study in elementary education
Authors: Álvarez-Guerrero Garazi , García-Carrión Rocío , Khalfaoui Andrea , Santiago-Garabieta Maite , Flecha Ramón 
Published: December 2023

AbstractScientific literature has clarified that bullying is a global challenge and students with special educational needs (SEN) are at a higher risk of experiencing it. Educational actions focused on dialogue and interaction as dialogic gatherings (DG) have been widely studied as a successful educational action (SEAs) rooted in egalitarian dialogue that promotes social cohesion. However, its potential to prevent bullying among students with SEN remains to be investigated. This qualitative case study explores the impact of implementing DG in two elementary classrooms and its potential to prevent school violence in a comprehensive school setting (43 students, 10–12 years old, from which 5 had SEN). Classroom observations of DGs and focus groups with teachers and students were conducted. Data analysis indicated that DG effectively contributed to students’ increased awareness regarding the distinction between violent and non-violent relationships, and influenced their personal preferences, guiding them towards non-violent behaviours. Implications for practice highlight the potential of DG to enhance non-violent behaviours among elementary students, which is particularly relevant to ensure students with SEN’s protection and inclusion.
The DIG Mandarin Conversations (DMC) Corpus
Authors: Yu Guodong , Wu Yaxin , Drew Paul , Raymond Chase Wesley 
Published: December 2023

AbstractThis paper introduces theDMC Corpus – a newly collected dataset of 150 mundane cell phone calls from Mainland China in Mandarin Chinese (audio and detailed transcripts) – which is now publicly available for use in research and teaching. In this report, we first describe the constitution and current contents of the DMC Corpus, as well as instructions for access. Additional calls will be added periodically to the Corpus, and so the quantitative overview presented here should be considered conservative. We then provide concrete examples of the sorts of phenomena that might be explored with these new data, underscoring how the Corpus offers researchers the ability to build systematic collections for analysis – no matter whether researchers prefer to begin with ‘forms’ (e.g., utterance-final particles), with ‘functions’ (e.g., complaining), and/or with the temporal organization of interaction itself (e.g., preference organization, repair). The paper concludes with an explicit call for increased research on Mandarin conversation, to which we hope the materials in the DMC Corpus will contribute.
Structural, electronic and magnetic properties of greigite Fe3S4 by GGA and GGA+U versus SCAN meta-GGA density functionals
Authors: Kiejna Adam , Kruk Karolina , Ossowski Tomasz 
Published: December 2023

Abstract
The performance of exchange-correlation functional of density functional theory represented in generalized gradient approximation (GGA) and in the strongly constrained and appropriately normed (SCAN) meta-GGA scheme to study structural, electronic, and magnetic properties of greigite (Fe3S4) was investigated. The effects of inclusion of strong electron correlations represented by on-site Hubbard correction U, and nonlocality of the long-range van der Waals (vdW) interactions were also considered. Geometry optimization yielded the inverse spinel structure and lattice parameter of greigite in good agreement with experimental data. Calculated electronic structure revealed a half-metallic nature of the greigite bands for the applied functionals except for GGA, which predicts metallic behavior. Antiferromagnetic coupling of iron ions in tetrahedral and octahedral coordinations makes the overall crystal structure ferrimagnetic. In general the GGA+U and SCAN show comparable performance in prediction physical properties of greigite. Inclusion of the vdW correction does not change the character of the bands.
Predicting multi-component, high-temperature metallic glasses by coupling empirical models, CALPHAD, and a genetic algorithm
Authors: Howard Jerry R , Carlson Krista , Mushongera Leslie T 
Published: December 2023

Abstract
Metallic glasses (MGs) are an emerging class of materials possessing multiple desirable properties including high strength, hardness, and corrosion resistance when compared to their crystalline counterparts. However, most previously studied MGs are not useful in high temperature environments because they undergo the glass transition phenomenon and crystallize below the melting point. In addition, bulk MGs are typically found in multi-component systems, meaning that searching compositional space with a reasonable resolution using computational or experimental methods can be costly. In this study, an in-house developed genetic algorithm-based tool was used to locate alloy compositions with high glass forming ability (GFA) and high-temperature stability in the Ta–Ni–Co–(B) and Ta–Ni–Co–Nb alloy systems. GFA was predicted using an empirical predictive parameter known as P
HSS. High-temperature stability was predicted using the CALPHAD method to calculate liquidus temperature. Justification for the use of P
HSS to predict GFA of high-temperature MGs, as well as the use of liquidus temperature as a predictor of general high-temperature stability, is given in the form of a meta-analysis of previously reported MG compositions. The predictions made using this algorithm were analyzed and are presented herein. While high-temperature stability was the property of interest for this research, this framework could be used in the future to locate alloys with other application-specific material properties. This genetic algorithm-based tool enables the coupling of empirical parameters and CALPHAD to efficiently search multi-component space to locate glass-forming alloys with desirable properties.
Improving the targeted delivery of curcumin to esophageal cancer cells via a novel formulation of biodegradable lecithin/chitosan nanoparticles with downregulated miR-20a and miR-21 expression
Authors: Atwan Qusay S , Al-Ogaidi Israa 
Published: December 2023

Abstract
Nanoencapsulation, employing safe materials, holds substantial promise for enhancing bioactive compounds’ delivery, stability, and bioactivity. In this study, we present an innovative and safe methodology for augmenting the incorporation of the anticancer agent, curcumin, thereby inducing apoptosis by downregulating miR20a and miR21 expression. Our established methodology introduces three pivotal elements that, to our knowledge, have not undergone formal validation: (1) Novel formulation: We introduce a unique formula for curcumin incorporation. (2) Biocompatibility and biodegradability: our formulation exclusively consists of biocompatible and biodegradable constituents, ensuring the absence of detrimental residues or undesirable reactions under varying conditions. (3) Low-temperature incorporation: Curcumin is incorporated into the formulation at temperatures approximating 50 °C. The formulation comprises lecithin (LE), chitosan (CH), an eco-friendly emulsifying agent, and olive oil as the solvent for curcumin. Nanoscale conversion is achieved through ultrasonication and probe sonication (20 kHz). Transmission electron microscopy (TEM) reveals spherical nanoparticles with diameters ranging from 29.33 nm and negative zeta potentials within the −28 to −34 mV range. Molecular studies involve the design of primers for miR20a and miR21. Our findings showcase a remarkable encapsulation efficiency of 91.1% for curcumin, as determined through a linear equation. The curcumin-loaded nanoformulation demonstrates potent anticancer activity, effectively activating the apoptosis pathway in cancer cells at the minimum inhibitory concentration. These results underscore the potential of our nanoformulation as a compelling, cancer-selective treatment strategy, preserving the integrity of normal cells, and thus, warranting further exploration in the field of cancer therapy.
Direct growth Bi2O2Se nanosheets on SiO2/Si substrate for high-performance and broadband photodetector
Authors: Gao Shengmei , Wu Xiongqing , Xiao Xiaofei , Liu Wenliang , Huang Kai 
Published: December 2023

Abstract
Bi2O2Se, a newly emerging two-dimensional (2D) material, has attracted significant attention as a promising candidate for optoelectronics applications due to its exceptional air stability and high mobility. Generally, mica and SrTiO3 substrates with lattice matching are commonly used for the growth of high-quality 2D Bi2O2Se. Although 2D Bi2O2Se grown on these insulating substrates can be transferred onto Si substrate to ensure compatibility with silicon-based semiconductor processes, this inevitably introduces defects and surface states that significantly compromise the performance of optoelectronic devices. Herein we employ Bi2Se3 as the evaporation source and oxygen reaction to directly grow Bi2O2Se nanosheets on Si substrate through a conventional chemical vapor deposition method. The photodetector based on the Bi2O2Se nanosheets on Si substrate demonstrates outstanding optoelectronics performance with a responsivity of 379 A W−1, detectivity of 2.9 × 1010 Jones, and rapid response time of 0.28 ms, respectively, with 532 nm illumination. Moreover, it also exhibits a broadband photodetection capability across the visible to near-infrared range (532–1300 nm). These results suggest that the promising potential of Bi2O2Se nanosheets for high-performance and broadband photodetector applications.
Facile preparation of small-sized gold nanoparticle decorated silica nanocomposites and their morphological changes in catalytic reactions
Authors: Qi Jinhui , Zhou Haichun , Tang Junqi 
Published: December 2023

Abstract
Due to the unique physicochemical properties of gold nanoparticles (AuNPs) decorated silica nanostructures (SiO2@AuNPs), they show great potential for applications in catalysis, biosensing, optical devices and medicine. It is essential to explore the catalytic effect of SiO2@AuNPs and the understanding of the essential process of catalytic reactions. We have prepared SiO2@AuNPs by loading small-sized AuNPs on surface-modified silica nanospheres. SiO2@AuNPs was used as a catalyst for the catalytic reduction of 4-nitrophenol (4-NP) in the presence of excess NaBH4, and the results showed that with the increase of the amount of catalyst from 30 to 100 μl, the corresponding rate constant K
app was increased from 6.44 × 10−3 to 1.45 × 10−2 s−1, and its TOF was as high as 1.326 × 103 h−1, and the catalytic rate could still be maintained at 87% after five cycles. By analyzing the morphology and size of the SiO2 supported AuNPs before and after the catalytic reaction, it can be seen that the atoms on the surface of small-sized AuNPs supported by silica have migrated during the catalytic process, which subsequently affects the catalytic efficiency of the structure. This study proves the good catalytic effect of SiO2@AuNPs structure and lays the foundation for its wider application.
Adaptive low-temperature plasmas
Authors: Keidar Michael 
Published: December 2023

Abstract
This paper highlights the uniqueness of low-temperature plasma (LTP), that is its ability to change the chemical composition in situ. An adaptive LTP platform is a plasma device that can adjust the plasma composition to obtain optimal desirable outcomes through its interaction with a target. This approach relies on the ability of measuring the real time response of target to plasma action. In biological applications, feedback consists of the cellular response to plasma immediately after treatment and modifying the composition and power of plasma via a feedback mechanism. Plasma self-adaptation might be feasible due to self-organization and pattern formation when plasma interacts with targets. An adaptive plasma system requires an integration with multi-modal sensors, augmented by artificial intelligence where appropriate. Such adaptive LTP platforms might lead to treatment of biological targets on demand at a dose that is optimized by outcome (e.g. decontamination, disinfection) at the lowest possible cost and smallest environmental impact. In this paper, we explore the possibilities and opportunities for using the adaptive plasma as a therapeutic system.
Trumpet-shaped diffuse plasma jet in a semi-confined environment
Authors: Cui Weisheng , Chai Li , Zhang Ruobing 
Published: December 2023

Abstract
This paper reports a unique trumpet-shaped diffuse plasma jet (TDPJ) with a caliber exceeding 30 mm in a semi-confined environment, which is larger than the diameter of existing atmospheric pressure plasma jets (APPJs) in an open environment. The morphology of the TDPJ is attributed to the influence of the electric field on the development characteristics of ionization waves in the ambient environment. High-speed ICCD camera images show that the plasma bullets in the TDPJ have a completely different propagation trajectory compared to the APPJ. Different shapes of diffuse plasma jets can also be formed by adjusting the doping gas, which is due to the Penning ionization and consistent with the impact of the electric field. This research reveals the long-neglected effect of the electric field on ionization waves and provides a way to manipulate the morphology of plasma jets efficiently. The generation mechanism of the TDPJ can provide preliminary guidance for the effective medical treatment of plasma jets in semi-confined environments, such as human internal organs.
Plasma plume simulation of an atomic oxygen-fed ion thruster in very-low-earth-orbit
Authors: Moon Geonwoong , Choe Wonho , Jun Eunji 
Published: December 2023

Abstract
The plasma plume flow of an atomic oxygen-fed (AO-fed) ion thruster is numerically investigated as a simplification of the atmosphere-breathing electric propulsion (ABEP). A predictive analysis is conducted focusing on the ion backflow phenomenon and plume-background interaction in very-low-earth-orbit (VLEO). The computational framework employs two sequentially integrated numerical methods: a zero-dimensional (0-D) analytical model for the radio-frequency ion thruster and a hybrid method of the particle-in-cell (PIC) and direct simulation Monte Carlo (DSMC) techniques. The 0-D analytic model is employed for the prediction of exhaust conditions, while the hybrid PIC-DSMC method adopts these predictions to conduct the plasma plume simulations. A generalized collision cross-section model is introduced to enable consistent kinetic simulations for both AO and xenon propellants in VLEO atmosphere. The plasma plume simulations are conducted in an axisymmetric domain, including a cylindrical satellite body to consider wake flow. The exhaust ions exhibit diffusive transport transverse to the ion beam direction, implying the ion backflow. The backflowing ion current density can be increased in AO-fed thrusters, which require a high propellant flow rate to achieve a practical thrust. The AO-fed ion thruster shows a more active interaction between its plasma plume and the VLEO atmosphere compared to conventional xenon-based thrusters. The intensified plume-background interaction modifies the backflowing ion current density and the kinetic energy of individual ions, factors related to the spacecraft’s surface contamination.
Parity-enhanced quantum optimal measurements
Authors: Xing Hai-Jun , Fu Libin , Yi Su 
Published: December 2023

Abstract
In quantum metrology, measurement and estimation schemes are vital for achieving higher precision, along with initial state preparation. This article presents the compound measurement of parity and particle number, which is optimal for a broad range of states named equator states (ESs). ES encompasses most pure input states used in current studies and, more significantly, a wide range of mixed states. Moreover, the ES can be prepared directly using non-demolition parity measurement. We thus propose an improved quantum phase estimation protocol applicable to arbitrary input states, ensuring precision consistently surpassing that of the standard protocol. The proposed scheme is also demonstrated using a nonlinear interferometer, with the realization of the non-demolition parity measurement in atomic condensates.
Investigation on the structure-optimized magnetic properties of hydrothermally synthesized SrBi2−X(CF)XNb2O9 multiferroic nanocomposites
Authors: Garlapati Vijaya Lakshmi , Jaladi Nitchal Kiran , Kotikala Sowri Babu 
Published: December 2023

Abstract
Hydrothermally synthesized nano multiferroic SrBi2-X(CF)XNb2O9 (SBN-CF), (CF = CoFe2O4 & X = 0.0, 0.1, 0.2, 0.3, 0.4, 0.5) composite’s structure correlated magnetic attributes in view of reaction, exchange, and transport of ions have been comprehended from the perspective of electronic sector applications. The produced materials’ phase genesis, morphology, chemical composition, and magnetic characteristics were studied by XRD/Rietveld analysis, FEGSEM/EDS, FTIR, and VSM respectively. The Rietveld analysis of XRD data confirmed a single-phase orthorhombic structure of SBN. Further ferroelectric and cubic spinel structures of the ferrite phase have been noticed from the introduction of CF into the SBN host matrix. The crystallite size as computed (∼23–41 nm) from Debye Scherer’s formula was found to increase with dopant concentration. The imbibed morphological changes necessitated octahedral-shaped grains. The stoichiometric proportion with pronounced absorption bands is evident in EDS and FTIR studies. The impact of CF on SBN was unraveled at room temperature from the VSM study. The saturation magnetization was increased from 0.00 to 3.96 emu g−1, and the obtained coercivity values enhanced from 0.50 to 1400 Oe, due to the random fluctuations of the energy due to domain wall movements, interacting with the defective structure of the SBN material. The stress-induced distortion due to the variation in concentration of CF in SBN was configured from Y-K angles and increased from 33.55° to 61.49°. The high coercivity with a squareness value of less than 0.5 enunciates the genesis of a new class of materials for use in permanent magnet applications and memory devices.