bluuebunny/crossref_metadata_2025_split huggingface dataset:
Verifying the usefulness of the theory of planned behavior model for predicting illegal use of online content: the role of outcome expectancies and social loafing
Authors: Choi Yulee , Suh Kyung Hyun 
Published: November 2022

Abstract
Background
Currently, laypeople can earn profit by producing content; therefore, it should be noted that the unauthorized use of intellectual creations or possessions can cause legal issues and undermine the producers’ desire to create. This study verified the usefulness of the theory of planned behavior (TPB) model for predicting the illegal use of online content among South Korean college students and examined the roles played by outcome expectancies and social loafing in this model.

Methods
The participants, 369 male and female Korean college students, were aged between 18 and 31 years (M = 22.12, SD = 2.33). We measured the illegal use of online content and the factors of the TPB model, as well as outcome expectancies and social loafing with regard to participants’ illegal use of online content. Correlational analysis, stepwise regression analysis, path analysis for the TPB model, and analyses of the moderated model were performed using SPSS and AMOS.

Results
All TPB factors, outcome expectancies, and social loafing were positively correlated with the illegal use of online content. Stepwise regression analysis showed that intention, social loafing, outcome expectancies, and perceived behavioral control were significant predictors of the illegal use of online content. A TPB model, including a direct path from perceived behavioral control to behavior, was validated to analyze the illegal use of online content. This model was found to be moderated by outcome expectancy.

Conclusion
This study suggests that the TPB is useful for predicting the illegal use of online content and that outcome expectancies and social loafing also play an important role in the illegal use of online content among college students. The findings of this study provide useful information for future research and could aid in preventing illegal online content use among adolescents and young adults.
EIF1AX mutation in thyroid tumors: A retrospective analysis of cytology, histopathology and co-mutation profiles
Authors: Elsherbini Noha , Kim Dong Hyun , Payne Richard J. , Hudson Thomas , Forest Véronique-Isabelle , Hier Michael P. , Payne Alexandra E. , Pusztaszeri Marc P. 
Published: November 2022

Background The EIF1AX mutation has been identified in various benign and malignant thyroid lesions, with a higher prevalence in poorly differentiated thyroid carcinoma (PDTC) and anaplastic thyroid carcinoma, especially when combined with RAS or TP53 mutation. However, data and clinical significance of EIF1AX mutations in thyroid nodules is still limited. We investigated the prevalence of EIF1AX mutations and co-mutations in cytologically indeterminate thyroid nodules at our institution. Methods A 5-year retrospective analysis was performed on surgically resected thyroid nodules with identified EIF1AX mutations on molecular testing with ThyroseqV3®. Mutation type and presence of co-mutations were correlated with histopathologic diagnosis and clinical characteristics. Histopathology diagnoses were subsequently categorized as benign, borderline, malignant or aggressive malignant (≥ 10% PDTC component). Chi-square test was used to compare the malignancy associations of the: 1) A113_splice mutation compared to non-A113_splice mutations 2) singular A113_splice mutations compared to singular non-A113_splice mutations. Fisher's Exact Test was used to determine the association of A113_splice mutation with aggressive malignancies compared to non-A113_splice mutations. A p value of 0.05 or less was considered statistically significant. Results Out of 1583 patients who underwent FNA, 621 had further molecular testing. 31 cases (5%) harbored EIF1AX mutations. Of these cases, 12 (38.7%) were malignant, 2 (6.5%) were borderline, and 17 (55%) were benign. 4/31 cases (13%) were aggressive malignant (≥ 10% PDTC component). The most prevalent mutation was the A113_splice mutation at the junction of intron 5 and exon 6 (48%). All other mutations, except one, were located at the N-terminal in exon 2. 7/31 cases (22.6%) harbored ≥ 1 co-mutation(s), including 4 RAS, 3 TP53, 1 TERT and 1 PIK3CA, with 86% of them being malignant. All 4 nodules with RAS co-mutations were malignant including one PDTC. Conclusion Our study reports the largest cohort of EIF1AX mutations in Bethesda III/IV FNA samples with surgical follow-up to our knowledge. The presence of the EIF1AX mutation confers a 45.2% risk of malignancy (ROM) or borderline after surgery. However, the coexistence of EIF1AX mutations with other driver mutations such as RAS, TERT or TP53 conferred an 86% ROM. While 55% of thyroid nodules were benign at the time of surgery, the possible malignant transformation of these nodules, had they not been resected, is unknown. Finally, 13% of the nodules with EIF1AX mutations were aggressive with a significant PDTC component. These findings can further aid in clinical decisions for patients with thyroid nodules. Graphic Abstract
Comparison of passive versus active transcutaneous bone anchored hearing devices in the pediatric population
Authors: Shoman Nael M. , Khan Usman , Hong Paul 
Published: November 2022

Objective Transcutaneous bone anchored hearing devices (BAHDs) were introduced in an effort to avoid potential complications associated with the abutment of percutaneous BAHDs. Transcutaneous BAHDs can be active or passive. While studies have demonstrated good outcomes with both, a direct comparison of audiological and clinical outcomes of these devices in the pediatric population has not yet been studied. Study design Retrospective, multicenter study. Setting Two tertiary academic centers. Methods Between 2015 and 2019, all patients who received an active transcutaneous BAHD (Bonebridge, BB) at one center, and patients that received a passive transcutaneous BAHD (Attract, AT) at another center, were included in this study. Exclusion criteria included age > 18 years, and mixed hearing loss or single-sided deafness. Study outcomes included patient demographics, indications, complications and preoperative and one-year postoperative audiometric data. Results Eighteen BB and eight AT patients met the inclusion criteria. The age range was 5–16 years. There were no significant differences in complication outcomes. Both devices demonstrated similar mean improvements in hearing thresholds at frequencies of 250 Hz (38 dB Active vs. 38 dB Passive), 500 Hz (34 dB vs. 42 dB), 1000 Hz (34 dB vs. 40 dB) and 2000 Hz (31 dB vs. 22 dB). The BB was significantly more effective at frequencies of 4000 Hz (28 dB vs. 7 dB) and 8000 Hz (29 dB vs. 6 dB) ( p < 0.05). Conclusion This is the first study comparing audiological outcomes between an active and a passive transcutaneous BAHD in the pediatric population. While both devices improved audiometric outcomes in the low and mid frequencies, the active BAHD demonstrated significantly better outcomes in the higher frequencies. Graphical Abstract
Otolaryngology-Head and Neck Surgery clinical electives in undergraduate medicine: A cross-sectional observational study
Authors: Jaszkul Katrina M. , Grzybowski Marysia , Phillips Timothy 
Published: November 2022

Background Otolaryngology-Head and Neck Surgery (OHNS) electives provide medical students opportunities for knowledge acquisition, mentorship, and career exploration. Given the importance of electives on medical student education, this study examines OHNS clinical electives prior to their cancellation in 2020 due to the COVID-19 pandemic. Methods An anonymous 29-question electronic survey was created using the program “Qualtrics.” Themes included elective structure and organization, elective clinical and non-clinical teaching, evaluation of students, and the influence of electives on the Canadian Residency Match (CaRMS). The survey was distributed through the Canadian Society of Otolaryngology e-newsletter and e-mailed to all OHNS undergraduate and postgraduate program directors across Canada. Results Forty-two responses were received. The vast majority of respondents felt that visiting electives were important and should return post-COVID-19 (97.6%). Most said they provide more in-depth or hands-on teaching (52.4% and 59.6%, respectively). However, there was great variability in the feedback, types of teaching and curriculum provided to elective students. It was estimated that 77% of current residents at the postgraduate program that responders were affiliated with participated in an elective at their program. Conclusions Prior to the cancellation of visiting electives in 2020 due to the COVID-19 pandemic, electives played an important role in OHNS undergraduate medical education and career planning for students wishing to pursue a career in OHNS. Electives also provide the opportunity for the evaluation of students by OHNS postgraduate programs.
The impacts of performance-based assessment on reading comprehension achievement, academic motivation, foreign language anxiety, and students’ self-efficacy
Authors: Heydarnejad Tahereh , Tagavipour Fariba , Patra Indrajit , Farid Khafaga Ayman 
Published: November 2022

AbstractThe types of assessment tasks affect the learners’ psychological well-being and the process of learning. For years, educationalists were in search of finding and implementing accurate and convenient approaches to assess learners efficiently. Despite the significant role of performance-based assessment (PBA) in affecting second/foreign language (L2) learning processes, few empirical studies have tried to explore how PBA affects reading comprehension achievement (RCA), academic motivation (AM), foreign language anxiety (FLA), and students’ self-efficacy (SS-E). To fill this lacuna of research, the current study intended to gauge the impact of PBA on the improvement of RCA, AM, FLA, and SS-E in English as a foreign language (EFL) context. In so doing, a sample of 88 intermediate EFL learners were randomly divided into experimental group (EG) and CG (control group). During this research (16 sessions), the learners in the CG (N = 43) received the tradition assessment. In contrast, the learners in the EG (N = 45) were exposed to some modification based on the underpinning theories of PBA. Data inspection applying the one-way multivariate analysis of variance (i.e., the one-way MANOVA) indicated that the learners in the EG outperformed their counterparts in the CG. The results highlighted the significant contributions of PBA in fostering RCA, AM, FLA, and S-E beliefs. The implications of this study may redound to the benefits of language learners, teachers, curriculum designers, and policy makers in providing opportunities for further practice of PBA.
Prominent astrocytic alpha-synuclein pathology with unique post-translational modification signatures unveiled across Lewy body disorders
Authors: Altay Melek Firat , Liu Alan King Lun , Holton Janice L. , Parkkinen Laura , Lashuel Hilal A. 
Published: November 2022

AbstractAlpha-synuclein (aSyn) is a pre-synaptic monomeric protein that can form aggregates in neurons in Parkinson’s disease (PD), Parkinson’s disease with dementia (PDD) and dementia with Lewy bodies (DLB), and in oligodendrocytes in multiple system atrophy (MSA). Although aSyn in astrocytes has previously been described in PD, PDD and DLB, the biochemical properties and topographical distribution of astrocytic aSyn have not been studied in detail. Here, we present a systematic investigation of aSyn astrocytic pathology using an expanded antibody toolset covering the entire sequence and key post-translational modifications (PTMs) of aSyn in Lewy body disorders (LBDs) and in MSA. Astrocytic aSyn was detected in the limbic cortical regions of LBDs but were absent in main pathological regions of MSA. The astrocytic aSyn was revealed only with antibodies against the mid N-terminal and non-amyloid component (NAC) regions covering aSyn residues 34–99. The astroglial accumulations were negative to canonical aSyn aggregation markers, including p62, ubiquitin and aSyn pS129, but positive for phosphorylated and nitrated forms of aSyn at Tyrosine 39 (Y39), and not resistant to proteinase K. Our findings suggest that astrocytic aSyn accumulations represent a major part of aSyn pathology in LBDs and possess a distinct sequence and PTM signature that is characterized by both N- and C-terminal truncations and modifications at Y39. This is the first description that aSyn accumulations are made solely from N- and C-terminally cleaved aSyn species and the first report demonstrating that astrocytic aSyn is a mixture of Y39 phosphorylated and nitrated species. These observations underscore the importance of systematic characterization of aSyn accumulations in different cell types to capture the aSyn pathological diversity in the brain. Our findings combined with further studies on the role of astrocytic pathology in the progression of LBDs can pave the way towards identifying novel disease mechanisms and therapeutic targets.
Highly stretchable strain sensors with improved sensitivity enabled by a hybrid of carbon nanotube and graphene
Authors: Wang Leilei , Choi Jungwook 
Published: November 2022

AbstractThe development of high-performance strain sensors has attracted significant attention in the field of smart wearable devices. However, stretchable strain sensors usually suffer from a trade-off between sensitivity and sensing range. In this study, we investigate a highly sensitive and stretchable piezoresistive strain sensor composed of a hybrid film of 1D multi-walled carbon nanotube (MWCNT) and 2D graphene that forms a percolation network on Ecoflex substrate by spray coating. The mass of spray-coated MWCNT and graphene and their mass ratio are modulated to overcome the trade-off between strain sensitivity and sensing range. We experimentally found that a stable percolation network is formed by 0.18 mg of MWCNTs (coating area of 200 mm2), with a maximum gauge factor (GF) of 1,935.6 and stretchability of 814.2%. By incorporating the 0.36 mg of graphene into the MWCNT film (i.e., a mass ratio of 1:2 between MWCNT and graphene), the GF is further improved to 12,144.7 in a strain range of 650–700%. This high GF is caused by the easy separation of the graphene network under the applied strain due to its two-dimensional (2D) shape. High stretchability originates from the high aspect ratio of MWCNTs that bridges the randomly distributed graphenes, maintaining a conductive network even under sizeable tensile strain. Furthermore, a small difference in work function between MWCNT and graphene and their stable percolation network enables sensitive UV light detection even under a significant strain of 300% that cannot be achieved by sensors composed of MWCNT- or graphene-only. The hybrids of MWCNT and graphene provide an opportunity to achieve high-performance stretchable devices.
Automatic engagement estimation in smart education/learning settings: a systematic review of engagement definitions, datasets, and methods
Authors: Karimah Shofiyati Nur , Hasegawa Shinobu 
Published: November 2022

Abstract
Background
Recognizing learners’ engagement during learning processes is important for providing personalized pedagogical support and preventing dropouts. As learning processes shift from traditional offline classrooms to distance learning, methods for automatically identifying engagement levels should be developed.

Objective
This article aims to present a literature review of recent developments in automatic engagement estimation, including engagement definitions, datasets, and machine learning-based methods for automation estimation. The information, figures, and tables presented in this review aim at providing new researchers with insight on automatic engagement estimation to enhance smart learning with automatic engagement recognition methods.

Methods
A literature search was carried out using Scopus, Mendeley references, the IEEE Xplore digital library, and ScienceDirect following the four phases of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA): identification, screening, eligibility, and inclusion. The selected studies included research articles published between 2010 and 2022 that focused on three research questions (RQs) related to the engagement definitions, datasets, and methods used in the literature. The article selection excluded books, magazines, news articles, and posters.

Results
Forty-seven articles were selected to address the RQs and discuss engagement definitions, datasets, and methods. First, we introduce a clear taxonomy that defines engagement according to different types and the components used to measure it. Guided by this taxonomy, we reviewed the engagement types defined in the selected articles, with emotional engagement (n = 40; 65.57%) measured by affective cues appearing most often (n = 38; 57.58%). Then, we reviewed engagement and engagement-related datasets in the literature, with most studies assessing engagement with external observations (n = 20; 43.48%) and self-reported measures (n = 9; 19.57%). Finally, we summarized machine learning (ML)-based methods, including deep learning, used in the literature.

Conclusions
This review examines engagement definitions, datasets and ML-based methods from forty-seven selected articles. A taxonomy and three tables are presented to address three RQs and provide researchers in this field with guidance on enhancing smart learning with automatic engagement recognition. However, several key challenges remain, including cognitive and personalized engagement and ML issues that may affect real-world implementations.
Observation of ionospheric Alfven resonator with double spectral resonance structures at low latitude station, Shillong ($$dipole L=1.08$$)
Authors: Adhitya P. , Nosé Masahito , Bulusu Jayashree , Vichare Geeta , Sinha A. K. 
Published: November 2022

Abstract
Spectral Resonance Structures (SRS) of Ionospheric Alfven Resonator (IAR) are investigated by analysing the magnetic field data of a high sampling frequency induction coil magnetometer, installed at a low latitude Indian station, Shillong$$(25.56^\circ N, 91.86^\circ E, dipole L=1.08 )$$

(
25
.

56
∘

N
,
91
.

86
∘

E
,
d
i
p
o
l
e
L
=
1.08
)

. One of the distinguishing features of IAR resonance structure observed at this latitude is the excitation of two spectral resonance structures simultaneously, one with a small frequency separation and the other with a large frequency separation of subsequent harmonics. The seasonal variation shows that the occurrence of double SRS is more favoured during winter, where, out of the total IAR events observed during winter, about $$47\%$$

47
%

show clear signatures of double SRS and no double SRS are observed during summer. We have examined the altitudinal variation of refractive index using IRI 2016 model to understand the role of local ionospheric conditions in the formation of double spectral resonance structures. Our study reveals that the excitation of double SRS is related to the E-region to F-region variability of refractive index of the ionosphere. We also report that the double spectral resonance structures at Shillong are always observed only in the $${B}_{x}$$

B
x

component of the magnetic field variation.

Graphical Abstract
Lithological structure of western Pacific lithosphere reconstructed from mantle xenoliths in a petit-spot volcano
Authors: Mikuni Kazuto , Hirano Naoto , Akizawa Norikatsu , Yamamoto Junji , Machida Shiki , Tamura Akihiro , Hagiwara Yuuki , Morishita Tomoaki 
Published: November 2022

AbstractThe lithospheric mantle, formed at the mid-ocean ridge as a residue of crustal production, comprises theoretically depleted peridotite, but more fertile components (e.g., lherzolite and pyroxenite) have been reported, creating an enigmatic picture of the lithosphere. The oceanic lithosphere has also been found to be locally modified by intraplate magmatism as proposed from geochemistry of mantle xenolith. Petit-spot xenoliths are particularly notable as direct evidence of old lithospheric mantle and expected to retain essential information about oceanic lithosphere prior to its subduction. In this study, we report on the lithological structure of Pacific lithosphere aged at 160 Ma, just subducting into Mariana Trench, based on petrology and chemistry of ultramafic xenoliths from a petit-spot knoll, and then, we suggest the occurrence of petit-spot melt infiltration resulting in mantle metasomatism and formation of pyroxene-rich vein. Our petit-spot ultramafic xenoliths can be divided into three main types: a depleted peridotite as a residue of crust production, an enriched peridotite, and fertile pyroxenites as the product of melt–rock interactions prior to entrapment. Geothermobarometry also suggests that the depleted peridotite was derived from the uppermost lithospheric mantle, whereas the enriched peridotite and Al-augite pyroxenites were obtained from deeper layers of the lithosphere. Moreover, thermal gradient of the lithosphere estimated from these data is considerably hotter than pristine geotherm estimated on the basis of plate age. Hence, we could illustrate that the oldest portion of the Pacific lithosphere (160 Ma), which was not observed before, was locally fertilized and heated by prior multiple petit-spot magmatic events, and pyroxene-rich metasomatic veins penetrated from the base to the middle/upper lithosphere. Such local lithospheric fertilization is plausible at the plate-bending field, and the nature of Pacific Plate subducting into Mariana Trench may be partly different from what has been assumed so far.
Quantitative evaluation of mixed biomass burning and anthropogenic aerosols over the Indochina Peninsula using MERRA-2 reanalysis products validated by sky radiometer and MAX-DOAS observations
Authors: Ohno Takeru , Irie Hitoshi , Momoi Masahiro , da Silva Arlindo M. 
Published: November 2022

AbstractIn this study, we conducted the quantitative evaluation of aerosol optical properties in the Indochina Peninsula (ICP), which is significantly affected yearly by both biomass burning (BB) and anthropogenic aerosols, using Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) aerosol products. To perform spatiotemporal analysis with validated aerosol data, the MERRA-2 aerosol optical depth (AOD) and absorption AOD (AAOD) data were evaluated based on sky radiometer observations at the SKYNET Phimai site (15.18° N, 102.56° E). Furthermore, multi-axis differential optical absorption spectroscopy was conducted, providing additional data for the comparison of the aerosol extinction coefficient (AEC) vertical profile data. MERRA-2 AOD, AAOD, and AEC at altitudes below 1 km were underestimated in the dry season, with relative mean biases of 0.84, 0.54, and 0.48, respectively. These underestimations are attributed to insufficient BB emissions of light-absorbing aerosols near the surface. On the basis of these results, we investigated the factors that determined spatiotemporal variations in AOD over ICP from 2009 to 2020. We found that the seasonal variations in AOD were driven mainly by organic carbon (OC) and sulfate aerosols. OC AOD was dominant during the active BB period (from January to March), whereas sulfate AOD was high all year round, accounting for more than 25% of the total AOD. Sulfate AOD in the northeast ICP (NEIC) was approximately 74% of the total AOD in October, indicating the remarkable effect of sulfate aerosol transportation from southern China (SC). In the period of study, AOD decreased in NEIC and south ICP (SIC) by − 4.40% and − 3.00% year−1, respectively, corresponding to the decrease in sulfur dioxide concentrations in SC and NEIC. Thus, OC AOD was dominant during the active BB periods, whereas a significant amount of anthropogenic aerosols from SC contributed to the atmospheric environment over ICP throughout 2009–2020.