bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detectability of simulated apical lesions on mandibular premolars and molars between radiographic intraoral and cone-beam computed tomography images: an ex vivo study
Authors: Wolf Thomas Gerhard , Castañeda-López Fernando , Gleißner Lisa , Schulze Ralf , Kuchen Robert , Briseño-Marroquín Benjamín 
Published: August 2022

AbstractAdequate endodontic diagnostic is essential when making a therapy decision. Radiographic imagining acquisition methods (IAMs) are fundamental apical lesions of endodontic (ALE) origin diagnose tool. Thus, the aim of this research was to compare the simulated apical lesions (SALs) diagnose potential of digital intraoral radiography (DIR) and cone-beam computed tomography (CBCT), if there is a relationship between the IAMs, SALs-depth and their correct diagnose likelihood in human mandibular specimens’ datasets. 1024 SALs were prepared in cancellous and cortical bone with different penetration depths. The SALs-stages were radiographed with CBCT and DIR. The IAMs were randomly evaluated by 16 observers in two trials. Possible SAL findings were analyzed according to a five-point scale. The null hypothesis established that SALs detection accuracy does not differ between CBCT and DIR. Significantly differences (first 0.935 and second trial 0.960) were found for the CBCT area under the curve when compared with the DIR (first 0.859 and second trial 0.862) findings. SALs of smaller size were earlier detected by CBCT. In SALs without cortical involvement the probability of detection increased from 90 to 100%. The SALs-depth had the highest detectability influence on cancellous bone lesions and CBCT SALs detectability was 84.9% higher than with DIR images. The CBCT diagnose reproducibility was higher than the one of DIR (Kappa CBCT 75.7–81.4%; DIR 53.4–57.1%). Our results showed that CBCT has a higher SALs IAM diagnosing accuracy and that SALs detection accuracy incremented as the SALs-size increased.
Predictors of sedation period for critical illness patients focusing on early rehabilitation on the bed
Authors: Morimoto Yosuke , Watanabe Tsubasa , Oikawa Masato , Hanada Masatoshi , Sekino Motohiro , Hara Tetsuya , Kozu Ryo 
Published: August 2022

AbstractThere are various interventions of rehabilitation on the bed, but these are time-consuming and cannot be performed for all patients. The purpose of this study was to identify the patients who require early mobilization based on the level of sedation. We retrospectively evaluated the data of patients who underwent physical therapy, ICU admission of > 48 h, and were discharged alive. Sedation was defined as using sedative drugs and a Richmond Agitation–Sedation Scale score of < − 2. Multiple regression analysis was performed using sedation period as the objective variable, and receiver operating characteristic (ROC) curve and Spearman’s rank correlation coefficient were performed. Of 462 patients admitted to the ICU, the data of 138 patients were analyzed. The Sequential Organ Failure Assessment (SOFA) score and non-surgery and emergency surgery cases were extracted as significant factors. The ROC curve with a positive sedation period of more than 3 days revealed the SOFA cutoff score was 10. A significant positive correlation was found between sedation period and the initial day on early mobilization. High SOFA scores, non-surgery and emergency surgery cases may be indicators of early mobilization on the bed in the ICU.
The effects of personality traits and attitudes towards the rule on academic dishonesty among university students
Authors: Wang Hongyu , Zhang Yanyan 
Published: August 2022

AbstractAcademic dishonesty is becoming a big concern for the education systems worldwide. Despite much research on the factors associated with academic dishonesty and the methods to alleviate it, it remains a common problem at the university level. In the current study, we conducted a survey to link personality traits (using the HEXACO model) and people’s general attitudes towards the rule (i.e., “rule conditionality” and “perceived obligation to obey the law/rule”) to academic dishonesty among 370 university students. Using correlational analysis and structural equation modeling, the results indicated that both personality traits and attitudes towards the rule significantly predicted academic misconduct. The findings have important implications for researchers and university educators in dealing with academic misconduct.
Impact of lung function impairment after allogeneic hematopoietic stem cell transplantation
Authors: Kishida Yuya , Shingai Naoki , Hara Konan , Yomota Makiko , Kato Chika , Sakai Satoshi , Kambara Yasuhiro , Atsuta Yuya , Konuma Ryosuke , Wada Atsushi , Murakami Daisuke , Nakashima Shiori , Uchibori Yusuke , Onai Daishi , Hamamura Atsushi , Nishijima Akihiko , Toya Takashi , Shimizu Hiroaki , Najima Yuho , Kobayashi Takeshi , Sakamaki Hisashi , Ohashi Kazuteru , Doki Noriko 
Published: August 2022

AbstractLate-onset noninfectious pulmonary complications (LONIPC) are a major cause of morbidity and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). However, the clinical impact of lung function deterioration itself in long-term adult survivors of HSCT remains to be fully investigated. This retrospective, longitudinal study aimed to investigate pulmonary function following HSCT in terms of its change and the clinical significance of its decline. We examined 167 patients who survived for at least 2 years without relapse. The median follow-up period was 10.3 years. A linear mixed-effects model showed that the slope of pulmonary function tests values, including percent vital capacity (%VC), percent forced expiratory volume in one second (%FEV1), and FEV1/forced VC ratio (FEV1%), decreased over time. The cumulative incidence of newly obstructive and restrictive lung function impairment (LFI) at 10 years was 15.7% and 19.5%, respectively. Restrictive LFI was a significant, independent risk factor for overall survival (hazard ratio 7.11, P = 0.007) and non-relapse mortality (hazard ratio 12.19, P = 0.003). Our data demonstrated that lung function declined over time after HSCT and that the decline itself had a significant impact on survival regardless of LONIPC.
Numerical simulation of air age in dental offices
Authors: Nambu Eriko , Nozaki Kazunori , Tsubokura Makoto , Hayashi Mikako 
Published: August 2022

AbstractDental professionals are at high risk of exposure to communicable diseases during clinical practice, but many dental clinics provide clinical care in closed spaces. Therefore, it is essential to develop efficient ventilation methods in dental clinics that do not rely on natural ventilation. In this study, to clarify the factors that cause air retention in dental offices, we conducted computational flow dynamics simulations focusing on (1) the flow path from the entrance to the exhaust port and (2) the presence of partitions. A three-dimensional model of a dental clinic with three dental chairs was created, and simulations were conducted for scenarios with and without partitions with different entrance and exhaust port positions. Evaluation of these simulations on the basis of the age of air, an indicator of ventilation efficiency, showed that the value of the air age near the partition was locally high in the scenarios with partitions. In the scenarios where the exhaust port was located close to the entrance, the air age near the exhaust port was high, regardless of the presence of a partition. In addition to wearing protective clothing and sterilizing instruments, it is important to consider air quality improvement as a countermeasure against airborne and droplet infections, such as virus infections, in dental clinics.
The association between healthcare needs, socioeconomic status, and life satisfaction from a Chinese rural population cohort, 2012–2018
Authors: Chen Caiyun , Xu Richard Huan , Wong Eliza Lai-yi , Wang Dong 
Published: August 2022

AbstractThis study aimed to examine the prevalence of unmet healthcare needs and clarify its impact on socioeconomic status (SES) and life satisfaction in a longitudinal cohort of the Chinese rural population. Data used in this study were obtained from a nationally representative sample of 1387 eligible rural residents from the Chinese Family Panel Studies. Generalized estimating equation (GEE) logistic regression models were used to examine the factors associated with unmet healthcare needs and the impact of unmet healthcare needs on respondents’ perceived SES and life satisfaction. Approximately 34.6% of respondents were male, 18.2% were ≤ 40 years, and 66.7% had completed primary education or below. Around 19% and 32.6% of individuals who healthcare needs were met reported an above average socioeconomic status and life satisfaction, respectively in the baseline survey. GEE models demonstrated that unmet healthcare needs were significantly associated with low perceived SES (Odds ratio = 1.57, p < 0.001) and life satisfaction (Odds ratio = 1.23, p = 0.03) adjusted by covariates. Respondents who were older, reported moderate or severe illness, and with chronic conditions were more likely to report the unmet healthcare needs.Unmet healthcare needs are longitudinally associated with low SES and life satisfaction among the Chinese rural population, the disparity in access to healthcare exists among this population.
Construction and application of bionic antifouling coatings inspired by soft coral
Authors: Bing Wei , Jin E. , Tian Limei , Jin Huichao , Liu Zhuo 
Published: August 2022

AbstractMarine biofouling will bring a series of environmental and social problems, which restrict the development and utilisation of marine resources. Therefore, how to prevent biofouling has become a global issue. With the exploration of antifouling methods, bionic antifouling technology with environmentally friendly, broad‐spectrum, and long‐term advantages has gradually attracted people's attention. Inspired by the antifouling strategy of soft coral (Sarcophyton trocheliophorum), the silicone rubber (RTV‐2) with similar elasticity to coral skin was selected as the substrate. The composite structure of the upper transparent layer and the lower porous layer was prepared by simulating the structure of soft coral as the structural factors of the bionic antifouling coatings. Meanwhile, several organic antifouling components with high content contained in soft coral were added to the transparent layer and porous layer, respectively, as the component factors of biomimetic coatings. The bionic antifouling coatings, which are highly consistent with the coral structure, obtained the best antifouling performance under static and dynamic conditions. The above results provide new ideas for the synthesis of environmentally friendly bionic antifouling coatings.
STAR‐RIS‐assisted scheme for enhancing physical layer security in NOMA systems
Authors: Xu Shu , Liu Chen , Wang Hong , Qian Mujun , Li Jin 
Published: August 2022

AbstractSimultaneous transmitting and reflecting reconfigurable intelligent surface (STAR‐RIS) is capable of achieving full coverage area compared with conventional reflection‐only reconfigurable intelligent surface (RIS). Motivated by this observation, the secrecy performance of STAR‐RIS‐assisted non‐orthogonal multiple access (NOMA) systems over Rayleigh fading channels is investigated, where the incident signals sent by base station are reflected and transmitted to a pair of NOMA users in the presence of two eavesdroppers. To evaluate the secrecy performance of STAR‐RIS‐NOMA systems, the exact and asymptotic expressions of secrecy outage probability (SOP) and secrecy diversity order are derived, in which the correlation of the channels between the elements of each column on STAR‐RIS is taken into consideration. As a benchmark, the secrecy performance of the STAR‐RIS strategy for orthogonal multiple access (OMA) system is also analysed. Numerical results are provided to verify the effectiveness of the analytical results and demonstrate that: The SOP of STAR‐RIS‐NOMA outperforms that of STAR‐RIS‐assisted OMA and conventional cooperative communication systems. Furthermore, the scheme proposed here can obtain full order of secrecy diversity.
Sparse point‐voxel aggregation network for efficient point cloud semantic segmentation
Authors: Fang Zheng , Xiong Binyu , Liu Fei 
Published: August 2022

AbstractEffective and efficient semantic segmentation of 3D point cloud data is important for many tasks. Many methods for point cloud semantic segmentation rely on computationally expensive sampling and grouping layers to process irregular points, while others convert irregular points into regular volumetric grids and process them with a 3D U‐Net‐based semantic segmentation network. However, most of these methods suffer from high computational costs and cannot be applied to the real‐time processing of large‐scale point clouds. To address these issues, we propose a computationally efficient point‐voxel‐based network architecture named Sparse Point‐Voxel Aggregation Network (SPVAN) for point cloud semantic segmentation. It consists of an encoding layer that consists of sparse convolution and MLP layers and a new decoding layer called Point Feature Aggregation Layer (PFAL) that is only composed of feature interpolation and MLP layers. Compared with recent popular point‐voxel‐based methods with the U‐Net‐based network, our method does not need 3D convolution networks in the decoding layer and thus achieves a higher speed. Experimental results on the large‐scale SemanticKITTI dataset show that our method gets a good balance between the efficiency and the performance. Moreover, our method achieves on‐par or better performance than previous methods for semantic segmentation on the challenging S3DIS dataset.
Improved sliding mode control for permanent magnet synchronous motor servo system
Authors: Lu Huacai , Yang Dongxue , Su Zhongde 
Published: August 2022

AbstractIn this study, an improved sliding mode control (ISMC) method combining continuous non‐singular terminal sliding mode (CNTSM) and linear active disturbance rejection control (LADRC) for permanent magnet synchronous motor (PMSM) servo system is proposed to improve the performance of PMSM. Based on the mathematical model of PMSM, combined with SMC theory and LADRC theory, CNTSM controller based on continuous function is proposed to solve the singularity of terminal sliding mode (TSM) control. In order to solve the contradiction between the convergence performance of sliding mode control and the ability of chattering suppression, fuzzy control is introduced to adjust the gain of sliding mode controller in real time. LADRC is developed to ensure the current starting conditions of the motor and improve the robustness. Moreover, the asymptotic stability of the system is guaranteed by the Lyapunov theorem and it is verified by the AISim MBD servo motor experimental platform. Experiments show that the algorithm has good tracking performance and robustness.
Adaptive fuzzy gain scheduling PID controller for frequency regulation in modern power system
Authors: Razmi Peyman , Rahimi Tohid , Sabahi Kamel , Gheisarnejad Meysam , Khooban Mohammad‐Hassan 
Published: August 2022

AbstractHere an adaptive fuzzy gain scheduling proportional, integral and derivative (FGPID) controller has been proposed for the load frequency control of a three‐area inter‐connected modern power system with the large‐scale wind‐power penetration in the presence of the vehicle‐to‐grid. The proposed FGPID controller benefits from two main advantages that it has an adaptive structure to deal with changes in the parameters of the power system and also its stability has been shown using Lyapunov theory. The adaptive terms for calculations the parameters of this controller are given and discussed, which are derived from an appropriate Lyapunov’s function, are not depend on the controlled system parameters which makes it possible to be employed in many applications even with considering uncertainty. This method is investigated in the case study considering plug in electric vehicles and it was observed that the tuning parameters are realized successfully and frequency control can be improved. A comparison among a fixed structure controller and the proposed FGPID controller is presented. The comparison study indicates that the proposed FGPID controller has better performance than the other fixed structure controllers and can generate the best dynamic response following load and wind uncertanities which makes it to implement practically.
The SHARDDS survey: limits on planet occurrence rates based on point sources analysis via the Auto-RSM framework
Authors: Dahlqvist C.-H. , Milli J. , Absil O. , Cantalloube F. , Matra L. , Choquet E. , del Burgo C. , Marshall J. P. , Wyatt M. , Ertel S. 
Published: August 2022

Context.In the past decade, high contrast imaging allowed the detection and characterisation of exoplanets, brown dwarfs, and circumstellar disks. Large surveys provided new insights about the frequency and properties of massive sub-stellar companions with separations from 5 to 300 au.Aims.In this context, our study aims to detect and characterise potential exoplanets and brown dwarfs within debris disks, considering a diverse population of stars with respect to stellar age and spectral type. We present in this paper the analysis of a set ofH-band images taken by the VLT/SPHERE instrument in the context of the SHARDDS survey. This survey gathers 55 main-sequence stars within 100 pc, known to host a high-infrared-excess debris disk, allowing us to potentially better understand the complex interactions between substellar companions and disks.Methods.We rely on the Auto-RSM framework to perform an in-depth analysis of the considered targets, via the computation of detection maps and contrast curves. A clustering approach is used to divide the set of targets into multiple subsets, in order to reduce the computation time by estimating a single optimal parametrisation for each considered subset. Detection maps generated with different approaches are used along with contrast curves to identify potential planetary companions. Planet detection and planet occurrence frequencies are derived from the generated contrast curves, relying on two well-known evolutionary models, namely AMES-DUSTY and AMES-COND. Finally, we study the influence of the observing conditions and observing sequence characteristics on the performance measured in terms of contrast.Results.The use of Auto-RSM allows us to reach high contrast at short separations, with a median contrast of 105at 300 mas, for a completeness level of 95%. A new planetary characterisation algorithm, based on the RSM framework, is developed and tested successfully, showing a higher astrometric and photometric precision for faint sources compared to standard approaches. Apart from the already known companion of HD 206893 and two point-like sources around HD 114082 which are most likely background stars, we did not detect any new companion around other stars. A correlation study between achievable contrasts and parameters characterising high contrast imaging sequences highlights the importance of the Strehl ratio, wind speed at a height of 30 meters, and presence of wind-driven halo to define the quality of high contrast images. Finally, planet detection and occurrence rate maps are generated and show, for the SHARDDS survey, a high sensitivity between 10 and 100 au for substellar companions with masses >10MJ.
Gaia Data Release 3
Authors: Lebzelter T. , Mowlavi N. , Lecoeur-Taibi I. , Trabucchi M. , Audard M. , García-Lario P. , Gavras P. , Holl B. , Jevardat de Fombelle G. , Nienartowicz K. , Rimoldini L. , Eyer L. 
Published: August 2022

Context. The third Gaia Data Release covers 34 months of data and includes the second Gaia catalogue of long-period variables (LPVs), with G variability amplitudes larger than 0.1 mag (5–95% quantile range).
Aims. The paper describes the production and content of the second Gaia catalogue of LPVs and the methods we used to compute the published variability parameters and identify C-star candidates.
Methods. We applied various filtering criteria to minimise contamination from variable star types other than LPVs. The period and amplitude of the detected variability were derived from model fits to the G-band light curve wherever possible. C stars were identified using their molecular signature in the low-resolution RP spectra.
Results. The catalogue contains 1 720 558 LPV candidates, including 392 240 stars with published periods (ranging from 35 to ∼1000 days) and 546 468 stars classified as C-star candidates. Comparison with literature data (OGLE and ASAS-SN) leads to an estimated completeness of 80%. The recovery rate is about 90% for the most regular stars (typically miras) and 60% for SRVs and irregular stars. At the same time, the number of known LPVs is increased by a factor of 6 with respect to literature data for amplitudes larger than 0.1 mag in G, and the contamination is estimated to be below 2%. Our C-star classification, based on solid theoretical arguments, is consistent with spectroscopically identified C stars in the literature. Caution must be taken in crowded regions, however, where the signal-ro-noise ratio of the RP spectra can become very low, or if the source is reddened by some kind of extinction. The quality and potential of the catalogue are illustrated by presenting and discussing LPVs in the solar neighbourhood, in globular clusters, and in galaxies of the Local Group.
Conclusions. This is the largest all-sky LPVs catalogue to date. The photometric depth reaches G = 20 mag. This is a unique dataset for research into the late stages of stellar evolution.
Ce que la Covid-19 nous apprend sur la modélisation des épidémies
Authors: Mathiot Jean-François , Gerbaud Laurent , Breton Vincent 
Published: August 2022

L’épidémie de Covid-19 se transmet par les voies respiratoires. Ce mode de transmission dépend essentiellement des relations sociales entre individus, par opposition aux épidémies dont l’élément pathogène est transmis à longue distance, comme par exemple par l’eau.
Après un bref résumé des différents types de modèles utilisés jusqu’à présent pour comprendre cette épidémie, nous présentons un nouveau modèle basé sur la théorie de la percolation. Il permet d’intégrer de façon naturelle les trois caractéristiques des relations sociales, pertinentes pour la propagation de l’épidémie : leur densité, leur intensité et leur variété. Quelques résultats sur la modélisation de l’évolution de l’épidémie de Covid-19 en France depuis ses débuts sont présentés.
Lipoproteinsenkende Therapie bei Diabetes mellitus
Authors: Ganz Manfred 
Published: August 2022

ZUSAMMENFASSUNGDie Senkung erhöhter LDL-Werte zur Ereignisreduktion von makrovaskulären Endpunkten wie Schlaganfall, Herzinfarkt und Herzinsuffizienz ist durch mannigfaltige Evidenz seit Jahrzehnten gesichert. Im Folgenden werden die pathophysiologischen Grundlagen der Plaquebildung mit der zugrundeliegenden subendothelialen Inflammation aufgezeigt. Alle gängigen und auch neuen therapeutischen Optionen werden aufgeführt und hinsichtlich Effekt und Stärke beurteilt. Es folgt ein Ausblick auf die zukünftige Entwicklung neuer therapeutischer Ansätze. Ein exemplarisches Patientenbeispiel zeigt nachhaltige und konsequente LDL-Senkung durch Modifikation der Medikation bis zum Erreichen der Zielwerte, wie von den internationalen Leitlinien formuliert.