bluuebunny/crossref_metadata_2025_split huggingface dataset:
Factors Related to the Recurrence of Low-grade Gliomas
Authors: Lin David Ilun Tseng , Muhlmann Lindson , Botta Fábio Pires , Hamamoto Filho Pedro Tadao , Zanini Marco Antonio , Fernandes Adriano Yacubian 
Published: October 2023

Abstract
Objective To identify the determining factors for reoperation in patients with low-grade gliomas, taking into account the degree of resection, and to analyze the histological aspects, observing possible transformations with signs of malignancy in the tissue samples.
Materials and Methods The sample consisted of 40 cases of low-grade glioma that were operated on at Hospital das Clínicas de Botucatu between 2013 and 2019.
Results The mean follow-up was of 37 months, and the sample was composed of 28 men and 12 women with a mean age at the first surgery of 43.1 ± 15.6 years. Epileptic seizures were observed in 31 (77.5%) patients. According to the histological classification, half of the patients presented oligodendroglioma (50%), of grade II in most cases (97.5%). Total or subtotal resection was achieved in 22 (55%) patients. Only one patient underwent radiotherapy, and two underwent chemotherapy. Reoperation was performed in 20 (50%) patients. The median interval between the first surgery and the reapproach was of 16 (range: 0–77) months. In the second approach, the histological classification was of astrocytoma in 4 (20%) cases, oligoastrocytoma in another 4 (20%), oligodendroglioma in 7 (35%), and glioblastoma in 5 (25%) cases. The only variable associated with the need for reoperation was the degree of resection after the first surgery (p = 0.013).
Conclusions Total resection of low-grade gliomas, when feasible, should be performed to avoid recurrence.
Predictors of Preexposure Prophylaxis Eligibility among Pregnant People with Opioid Use Disorder
Authors: Young Anna Marie P. , Reddy Paavani , Gonzalez Alba M. , Arlandson Mary E. , Patel Ashlesha , Premkumar Ashish 
Published: October 2023

Objective We seek to evaluate risk factors for eligibility for preexposure prophylaxis (PrEP) among pregnant people with opioid use disorder (OUD).
Study Design This is a single-site retrospective cohort study of pregnant people admitted for management of OUD at an urban, tertiary care center from 2013 to 2022. PrEP eligibility was defined based on (1) modified American College of Obstetricians and Gynecologists' (ACOG) 2014 criteria: diagnosis of a sexually transmitted infection (STI), engagement in transactional sex work, intravenous drug use (IVDU), or incarceration and (2) modified 2021 Centers for Disease Control (CDC) criteria: diagnosis of bacterial STI (e.g., gonorrhea or syphilis) or transactional sex work. Risk factors associated with PrEP eligibility were evaluated using chi- square or Fischer's exact tests for categorical variables and t-tests or Wilcoxon rank-sum tests for continuous variables. Multivariable regression was used to control for confounding covariates, defined as p < 0.10 on bivariate analysis. p < 0.05 was used to indicate statistical significance.
Results A total of 132 individuals met inclusion criteria, of whom 101 (76.5%) were deemed eligible for PrEP by meeting one or more modified 2014 ACOG criteria: 42 (31.8%) were incarcerated or had one or more STIs, while 30 (22.7%) endorsed engaging in transactional sex work and 68 (58.6%) endorsed IVDU. Using modified 2021 CDC criteria, 37 (28%) met PrEP eligibility, with 12 (9.1%) diagnosed specifically with a bacterial STI and 30 (22.7%) engaging in transactional sex work. Only comorbid psychiatric illness was associated with an increased risk for PrEP eligibility based on 2014 criteria, which persisted after controlling for maternal race/ethnicity (aRR 1.52, 95% confidence interval [CI] 1.24–1.86), and 2021 criteria, which persisted after controlling for nulliparity (aRR 2.12, 95% CI 1.30–3.57).
Conclusion A significant number of pregnant people with OUD meet one or more criteria for PrEP, with comorbid psychiatric conditions increasing the risk of meeting criteria.
Key Points
Relativistic and magnetic Breit effects for the reaction Sg + 6CO → Sg(CO)6 and Sg(OC)6: Prediction of the existence and atomization energy of the isomer Sg(OC)6
Authors: Malli Gulzari L. 
Published: October 2023

Our ab initio all-electron fully relativistic Dirac–Fock (DF) and Dirac–Fock–Breit–Gaunt (DFBG) and nonrelativistic (NR) Hartree–Fock (HF) calculations for seaborgium hexacarbonyl Sg(CO)6 predict atomization energies (Ae) of 68.81, 69.28, and 67.69 eV, respectively, at the corresponding optimized octahedral geometry. However, our DF, DFBG, and NR HF calculations for the isomer Sg(OC)6 yield atomization energies of 64.30, 64.77, and 62.62 eV, respectively, at the optimized geometry for this species. The optimized Sg–C and C–O bond distances (in Å) for octahedral Sg(CO)6 using our DF (NR) calculations are 2.15 (2.32) and 1.11 (1.11), respectively. However, the optimized Sg–O and O–C bond distances (in Å) for the isomer octahedral Sg(OC)6 obtained with our DF (NR) calculations are 2.80 (2.73) and 1.10 (1.11), respectively. Our prediction of the greater stability of Sg(CO)6 isomer at both the relativistic (DF and DFBG) and the NR HF levels of theory lends further support to the detection of Sg(CO)6 in the state-of-the-art gas-phase experimental studies of the carbonyl complex of seaborgium reported by Even et al. [Science 345(6203), 1491 (2014)].
Perovskite single crystals with tin–lead gradient for improved ionization radiation detection
Authors: Wu Jie , Wang Xin , Xu Yubing , Pan Yuzhu , Chai Shunjie , Zhao Jingda , Cheng Qi , Zhao Zhiwei , Li Qing , Bae Byung Seong , Fayemi Omolola Esther , Zhou Jianming , Zhu Ying , Lei Wei 
Published: October 2023

Compared with the pure lead-based MAPbBr3 (MA = CH3NH3) perovskite single crystals (PSCs), tin–lead alloy (MAPbxSn1−xBr3) PSCs with higher carrier mobility and longer carrier lifetime are expected to perform as better-quality ionization radiation detectors. In this work, we design MAPbBr3–MAPb0.9Sn0.1Br3–MAPb0.8Sn0.2Br3 structure detectors by employing solution-process epitaxial growth. Because of the gradient change in tin element proportion, the relatively low mismatch rates between different PSC layers can effectively reduce defects generated at the interface, which improves charge collection efficiency. Moreover, band barriers between different PSC layers form depletion layers due to the differences in band structure, and the high resistivity and built-in electric field of depletion layers can suppress dark current under high voltages. The optimized detector exhibits a high x-ray detection sensitivity of 6.76 × 104μC Gy−1 cm−2 and the lowest detectable dose rate of 7.4 nGy s−1 under 40 kVp x-ray radiation. Based on 241Am (5.95 MeV) α particle irradiation, tin–lead HD has lower detection noise and more obvious response compared to MAPbBr3 PSCs. The electron mobility was indicated as high as 612 cm2 s−1 V−1, and the mobility-lifetime (μτ) products were measured to be 3.5 × 10−3 cm2 V−1 using the Hecht equation, demonstrating superior transport properties.
Phenylpropiolic acid isolated in cryogenic nitrogen and xenon matrices: NIR and UV-induced study
Authors: Lopes S. , Nikitin T. , Fausto R. 
Published: October 2023

Phenylpropiolic acid (C6H5C≡CCOOH, PPA) isolated in nitrogen and xenon cryogenic matrices was studied by infrared spectroscopy. The experimental studies were complemented by a series of quantum chemical calculations carried out at the density functional theory (B3LYP) and MP2 levels of theory (with different basis sets). The calculations predicted the existence of two planar PPA conformers, differing in the arrangement of the carboxylic group. The higher-energy trans-PPA conformer has a negligible population in the gas phase at room temperature and was prepared in situ in the N2 cryomatrix through vibrationally-induced rotamerization of the lower-energy cis-PPA conformer, achieved using selective narrowband infrared excitation of the OH stretching coordinate of the latter species. Broadband UV (λ &gt; 235 nm) irradiation of matrix-isolated cis-PPA was also undertaken, leading to the observation of cis-PPA → trans-PPA isomerization. No other UV-induced photoreactions were observed. The in situ generated trans-PPA conformer was found to decay back to cis-PPA in the dark by tunneling, and its lifetimes under different experimental conditions were determined. The assignment of the infrared spectra of both conformers is presented, considerably extending the vibrational information available on this molecule.
The impact of the cognitive effects of L1 orthographic depth and morphological complexity on L2 French morphographic processing
Authors: Serrau Vera , Gunnarsson-Largy Cecilia , Largy Pierre 
Published: October 2023

AbstractOrthographic depth has been shown to influence the default orthographic processing mechanisms. However, the question of the impact of L1 orthographic depth on the processing of L2 orthography is still open. Crucially, current studies on orthographic depth tend to focus on the processing of simple words and do not consider other factors that interact with orthographic depth, such as morphological complexity. Our study is a preliminary investigation of whether the processing of L2 written inflected words shows crosslinguistic cognitive transfer effects of L1 orthographic depth and L1 morphological complexity. We focus on homophonic vs. heterophonic French subject-verb agreement (arrive / arrivent [aʁiv] (‘arrives’ (3sg) / ‘arrive’ (3pl)) vs.part[paʁ]/ partent[paʁt] (‘leaves’ (3sg) / ‘leave’ (3pl)) in two groups of experienced L2 French learners whose L1 is Spanish or Italian (both exhibiting shallow orthography and complex morphology) vs. English (exhibiting deep orthography and simple morphology). Results suggest that during the processing of L2 written inflected words, L2 learners whose L1 is morphologically complex with shallow orthography rely more on orthography-oriented morphological (sub-lexical) processing; whilst L2 learners whose L1 is morphologically simple with deep orthography rely more on phonology-oriented lexical processing.
Microanalysis of Clinical Interaction (MCI)
Authors: Gerwing Jennifer , Healing Sara , Menichetti Julia 
Published: October 2023

Abstract
A pragmatic agenda for clinical communication must derive sound practice recommendations based on investigations of actual clinical practice rather than idealized practice. While it is reasonable to recommend that clinicians foster the inclusion and active participation of their patients, if such recommendations are based on top-down ideals rather than a sound, bottom-up empirical base, they are vulnerable to implementation challenges.
This chapter introduces microanalysis of clinical interaction (MCI), which uses videorecorded consultations between clinicians and patients to reveal authentic communicative practice in interaction. We will briefly describe its history, unique features and affordances, and examples from studies that have applied it. We then focus on its potential utility for explicating how to accomplish patients’ inclusion and active participation in interaction.
Face-to-face intercultural communication and mediated intercultural communication as related to health communication
Authors: Kecskés István 
Published: October 2023

Abstract
The chapter argues that any communication happens in a specific context composed of three aspects: individual experience-based sociocultural aspect (CA), actual situational aspect (SA), and aspect of language as a tool of communication (LA). CA refers to the attitudinal frame of reference a person develops throughout his/her life and brings into the interaction through intersubjectivity. SA includes the psychological, social and physical variables affecting common ground building. LA means the language repertoire of the individual with its conceptual knowledge. These aspects are always present but affect interaction in different degrees depending on whether it happens face-to-face or through a medium and it is situated closer to the intracultural or intercultural end of the continuum. The chapter discusses the substantiations of these aspects.
Negotiation and joint construction of meaning (or why health providers need philosophy of communication)
Authors: Jasczcolt Kasia M. , Berthon Lidia 
Published: October 2023

Abstract
Meaning is often agreed on through negotiation, whose purpose can be clarification or joint construction of what starts as a ‘fuzzy thought’, or settling on a mutually acceptable way forward in communication and establishing common ground. The paper offers a critical introduction to main approaches to negotiating meaning, focusing on concepts that help explicate it, such as conventions, intentions, and meaning co-construction on one hand, and accountability, perception of authority, and normative expectations on the other. It then moves to the question of negotiating commitments, in particular as applied to Doctor-Patient Talk. It concludes with outlining the advantages of providing doctors with an understanding of dynamic pragmatics, highlighting that negotiating meaning does not inevitably lead to a loss of authority.
Metapragmatics and reflections in support of knowledge transfer and common ground in doctor-patient interaction
Authors: Kuna Agnes , Hámori Ágnes 
Published: October 2023

Abstract
In doctor-patient interactions, successful knowledge transfer and mutual understanding play a key role. To achieve them, participants need to construct common ground and collaborate jointly on meanings, while also overcoming difficulties arising from asymmetry of knowledge. These processes are often supported by a meta-management of discourse, mainly by the use of metapragmatic reflections. This paper investigates the metapragmatic expressions and meta-comments in 24 doctor-patient interactions, including 4 G.P. consultations, 12 dental appointments and 8 educational videos. The analysis demonstrates that metapragmatic reflections and comments may serve as an important means for the dynamic management of knowledge transfer and common ground in the domains of information, interaction and feelings, and help to adjust attention, negotiate interpretations, and resolve misunderstandings in the consultations.
Fifteen Years of Millimeter Accuracy Lunar Laser Ranging with APOLLO: Data Set Characterization
Authors: Battat J. B. R. , Adelberger E. , Colmenares N. R. , Farrah M. , Gonzales D. P. , Hoyle C. D. , McMillan R. J. , Murphy T. W. , Sabhlok S. , Stubbs C. W. 
Published: October 2023

Abstract
We present data from the Apache Point Observatory Lunar Laser-ranging Operation (APOLLO) covering the 15 yr span from 2006 April through the end of 2020. APOLLO measures the Earth–Moon separation by recording the round-trip travel time of photons from the Apache Point Observatory to five retro-reflector arrays on the Moon. The APOLLO data set, combined with the 50 yr archive of measurements from other lunar laser ranging (LLR) stations, can be used to probe fundamental physics such as gravity and Lorentz symmetry, as well as properties of the Moon itself. We show that range measurements performed by APOLLO since 2006 have a median nightly accuracy of 1.7 mm, which is significantly better than other LLR stations.
Time evolution of spread complexity in quenched Lipkin–Meshkov–Glick model
Authors: Afrasiar Mir , Basak Jaydeep Kumar , Dey Bidyut , Pal Kunal , Pal Kuntal 
Published: October 2023

AbstractWe use the spread complexity (SC) of a time-evolved state after a sudden quantum quench in the Lipkin–Meshkov–Glick (LMG) model prepared in the ground state as a probe of the quantum phase transition when the system is quenched toward the critical point. By studying the growth of the effective number of elements of the Krylov basis that contributes to the SC more than a preassigned cutoff, we show how the two phases of the LMG model can be distinguished. We also explore the time evolution of spread entropy after both non-critical and critical quenches. We show that the sum contributing to the spread entropy converges slowly in the symmetric phase of the LMG model compared to that in the broken phase, and for a critical quench, the spread entropy diverges logarithmically at late times.
Effect of Cu doping on structural and magnetic properties of Cu
x
Zn1-x
Fe2O4 nanoparticles for biomedical applications
Authors: Jamdade Shrinivas G , Tambade Popat S , Rathod Sopan M 
Published: October 2023

Abstract
Nano-ferrites with chemical equation Cu
x
Zn1-x
Fe2O4 (x = 0.1, 0.2, 0.3, 0.4, 0.5, 0.6 and 0.7) were prepared by sol–gel auto-combustion method to study structural and magnetic properties along with antibacterial and antifungal activity. The samples are sintered in air at 400 °C for 4 h. The samples are characterised by x-ray diffraction (XRD), ultraviolet (UV), Fourier-transform infrared spectroscopy (FTIR), scanning electron microscope (SEM), energy dispersive X-ray (EDX), and vibrating-sample magnetometry (VSM) tools. Presence of some secondary phases are noticed in the samples. XRD data is utilised to calculate lattice parameter, crystallite size, lattice strain, and density of ferrite samples. The crystallite size varies between 6.3 and 7.7 nm and lattice strain has value between 0.11–0.15. Also, VSM is used to calculate saturation magnetisation, coercivity and remanent magnetisation of synthesised samples. The saturation magnetisation as high as 32.8 emu g−1 is obtained for x = 0.7 composition. The magnetic Cu
x
Zn1-x
Fe2O4 nanoparticles have shown good antibacterial and antifungal activity.
Microstructure evolution and constitutive analysis of nuclear grade AISI-316H austenitic stainless steel during thermal deformation
Authors: Huang Jian , Pang Zong-xu , Guan Ji-chun , Fan Liu-qun , Zhang Jian-ping , Sun Dian-dong , Wang Yong 
Published: October 2023

Abstract
Compression experiments were performed on AISI-316H austenitic stainless steel using Gleeble-3800 at temperatures ranging from 900 °C and 1200 °C and strain rates ranging from 0.01 and 10 s−1, up to the actual strain of 0.69. The tests aimed to examine the material’s microstructure evolution and flow stress behavior. Based on OM and EBSD studies, it was found that thermal deformation mostly induces discontinuous dynamic recrystallization (DDRX). The proportion of recrystallization nucleation increases steadily with increasing deformation temperature, while the impact of strain rate on recrystallization is complex. At the same deformation temperature, the recrystallization volume fraction initially declines and rises as the strain rate rises. In low strain rate regime, the longer (deformation) time available for grain boundary migration, the higher recrystallization volume fraction. In high strain rate regime, the higher stored energy (and thus the increased boundary velocity) raises the probability of nucleation events, stimulating twin formation. As a result, the twin promotes a dynamic recrystallization (DRX) process. An abundance of Σ3 twins was notably observed in uniformly refined recrystallized grains at a true strain of 0.69, at a temperature of 1200 °C, and a strain rate of 10 s−1. As a result, it was discovered that DRX occurs at higher strain rates and deformation temperatures. In addition, the flow stress curves were modified to account for adiabatic heating at strain rates exceeding 1 s−1. The findings demonstrated that adiabatic heating increased when strain level and strain rate increased and deformation temperature decreased. The strain compensation Arrhenius model is developed following the given stress–strain curve while considering strain. The model exhibits high accuracy, with a correlation value of 0.986. According to a kinetic study, the average activation energy for hot deformation of the tested steel was 444.994 kJ/mol. These findings provide fundamental insights into the microstructure control technology and the outstanding mechanical properties of the austenitic stainless steel AISI-316H.
Multiomics dynamic learning enables personalized diagnosis and prognosis for pancancer and cancer subtypes
Authors: Lu Yuxing , Peng Rui , Dong Lingkai , Xia Kun , Wu Renjie , Xu Shuai , Wang Jinzhuo 
Published: October 2023

AbstractArtificial intelligence (AI) approaches in cancer analysis typically utilize a ‘one-size-fits-all’ methodology characterizing average patient responses. This manner neglects the diverse conditions in the pancancer and cancer subtypes of individual patients, resulting in suboptimal outcomes in diagnosis and treatment. To overcome this limitation, we shift from a blanket application of statistics to a focus on the explicit recognition of patient-specific abnormalities. Our objective is to use multiomics data to empower clinicians with personalized molecular descriptions that allow for customized diagnosis and interventions. Here, we propose a highly trustworthy multiomics learning (HTML) framework that employs multiomics self-adaptive dynamic learning to process each sample with data-dependent architectures and computational flows, ensuring personalized and trustworthy patient-centering of cancer diagnosis and prognosis. Extensive testing on a 33-type pancancer dataset and 12 cancer subtype datasets underscored the superior performance of HTML compared with static-architecture-based methods. Our findings also highlighting the potential of HTML in elucidating complex biological pathogenesis and paving the way for improved patient-specific care in cancer treatment.
Signal detection statistics of adverse drug events in hierarchical structure for matched case–control data
Authors: Heo Seok-Jae , Jeong Sohee , Jung Dagyeom , Jung Inkyung 
Published: October 2023

Summary
The tree-based scan statistic is a data mining method used to identify signals of adverse drug reactions in a database of spontaneous reporting systems. It is particularly beneficial when dealing with hierarchical data structures. One may use a retrospective case–control study design from spontaneous reporting systems (SRS) to investigate whether a specific adverse event of interest is associated with certain drugs. However, the existing Bernoulli model of the tree-based scan statistic may not be suitable as it fails to adequately account for dependencies within matched pairs. In this article, we propose signal detection statistics for matched case–control data based on McNemar’s test, Wald test for conditional logistic regression, and the likelihood ratio test for a multinomial distribution. Through simulation studies, we demonstrate that our proposed methods outperform the existing approach in terms of the type I error rate, power, sensitivity, and false detection rate. To illustrate our proposed approach, we applied the three methods and the existing method to detect drug signals for dizziness-related adverse events related to antihypertensive drugs using the database of the Korea Adverse Event Reporting System.