bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvements to seismicity forecasting based on a Bayesian spatio-temporal ETAS model
Authors: Ebrahimian Hossein , Jalayer Fatemeh , Maleki Asayesh Behnam , Hainzl Sebastian , Zafarani Hamid 
Published: December 2022

AbstractThe epidemic-type aftershock sequence (ETAS) model provides an effective tool for predicting the spatio-temporal evolution of aftershock clustering in short-term. Based on this model, a fully probabilistic procedure was previously proposed by the first two authors for providing spatio-temporal predictions of aftershock occurrence in a prescribed forecasting time interval. This procedure exploited the versatility of the Bayesian inference to adaptively update the forecasts based on the incoming information provided by the ongoing seismic sequence. In this work, this Bayesian procedure is improved: (1) the likelihood function for the sequence has been modified to properly consider the piecewise stationary integration of the seismicity rate; (2) the spatial integral of seismicity rate over the whole aftershock zone is calculated analytically; (3) background seismicity is explicitly considered within the forecasting procedure; (4) an adaptive Markov Chain Monte Carlo simulation procedure is adopted; (5) leveraging the stochastic sequences generated by the procedure in the forecasting interval, the N-test and the S-test are adopted to verify the forecasts. This framework is demonstrated and verified through retrospective early forecasting of seismicity associated with the 2017–2019 Kermanshah seismic sequence activities in western Iran in two distinct phases following the main events with Mw7.3 and Mw6.3, respectively.
Microscopic revelation of the solid–gas coupling and Knudsen effect on the thermal conductivity of silica aerogel with inter-connected pores
Authors: Liu Jing , Buahom Piyapong , Lu Chang , Yu Haiyan , Park Chul B. 
Published: December 2022

AbstractAs a star insulation material, aerogel plays a significant role in saving energy and meeting temperature requirements in industry due to its extremely low thermal conductivity. The prediction of aerogel’s thermal conductivity is of great interest in both research and industry, particularly because of the difficulty in measuring the separated gas conductivities directly by experiment. Hence, the proportions of separated gas conduction and solid–gas coupling conduction are debatable. In this work, molecular dynamics simulations were performed on porous silica aerogel systems to determine their thermal conductivities directly. The pore size achieved in the present study was improved significantly, making it possible to include the gas phase in the investigation of aerogel thermal conductivity. The separated solid conductivity $${\lambda }_{s}$$

λ
s

and the separated gas thermal conductivity $${\lambda }_{g}$$

λ
g

as well as the effective solid conductivity $${\lambda }_{s}^{e}$$

λ

s

e

and the effective gas conductivity $${\lambda }_{g}^{e}$$

λ

g

e

were calculated. The results suggest that the solid–gas coupling effect is negligible in rarefied gas because the enhancement of thermal conduction due to the short cut bridging effect by gas between gaps in the solid is limited. The gas pressure is the most significant factor that affects the solid–gas coupling effect. The large differential between the prediction and the actual value of the thermal conductivity is mainly from the underestimate of $${\lambda }_{g}$$

λ
g

, and not because of ignoring the coupling effect. As a conclusion, the solid–gas coupling effect can be neglected in the prediction of silica aerogel’s thermal conductivity at low and moderate gas pressure, i.e., decreasing the gas pressure is the most efficient way to suppress the coupling effect. The findings could be used in multi-scale simulations and be beneficial for improving the accuracy of predictions of aerogel thermal conductivity.
Drivers of habitat quality for a reintroduced elk herd
Authors: Quinlan Braiden A. , Rosenberger Jacalyn P. , Kalb David M. , Abernathy Heather N. , Thorne Emily D. , Ford W. Mark , Cherry Michael J. 
Published: December 2022

AbstractUnderstanding spatiotemporal variation in habitat quality is essential for guiding wildlife reintroduction and restoration programs. The habitat productivity hypothesis posits that home range size is inversely related to habitat quality. Thus, home range size may be used as a proxy for habitat quality and can identify important land cover features for a recovering species. We sought to quantify variation in home range size across the biological cycle (seasons) for a reintroduced elk (Cervus canadensis) population in southwestern Virginia, USA and quantify habitat quality by linking home range sizes to the land cover types they contain using linear mixed-effects models. We found mean home range size was largest during late gestation for female elk. Additionally, throughout the year, smaller home ranges were associated with larger proportions of non-forested habitats whereas forested habitats were generally the opposite. However, both presumed poor- and high-quality habitats influenced female elk space use. Our approach revealed spatial variation in habitat quality for a recovering elk herd, demonstrated the importance of non-forested habitats to elk, can guide decisions regarding the location of future elk reintroduction programs, and serve as a model for evaluating habitat quality associated with wildlife reintroductions.
Postoperative acromiohumeral interval affects shoulder range of motions following reverse total shoulder arthroplasty
Authors: Kim Du-Han , Choi Hyeong-Uk , Choi Byung-Chan , Kim Ji-Hoon , Cho Chul-Hyun 
Published: December 2022

AbstractReverse total shoulder arthroplasty (RTSA) improves function and reduces pain for patients with complex shoulder problems. However, there is a lack of literature regarding the association of radiographic parameters on clinical outcomes after RTSA. The aim of this study was to analyze various radiographic parameters that may be predictive of clinical outcomes after RTSA. A total of 55 patients treated with RTSA were enrolled. Shoulder radiographic parameters were used for measurement of critical shoulder angle, acromial index, acromiohumeral interval, deltoid lever arm, acromial angulation, glenoid version, and acromial height. Preoperative and postoperative clinical outcomes were evaluated at a minimum 2-year follow-up. An analysis of correlations between radiographic parameters and clinical outcomes was then performed. A significant change in critical shoulder angle, acromiohumeral interval, and deltoid lever arm was observed between preoperative and postoperative radiographic measurements. A significant improvement was observed in all clinical outcomes and range of motions from preoperative to postoperative (all p < 0.001). A negative correlation of postoperative acromiohumeral interval with forward flexion (r = − 0.270; p = 0.046), external rotation (r = − 0.421; p = 0.001), and internal rotation (r = 0.275; p = 0.042) was observed at final follow-up. In addition, postoperative acromiohumeral interval less than 29 mm had an 86% positive predictive value of obtaining 130° of forward flexion and 45° of external rotation. It was found that postoperative acromiohumeral interval showed an association with active range of motion in patients who underwent RTSA. In particular, excessive distalization reduced forward flexion and external rotation motion of the shoulder in patients treated with RTSA.
Role of androgen receptor signaling pathway-related lncRNAs in the prognosis and immune infiltration of breast cancer
Authors: Huang Guo , Cao Hong , Liu Guowen , Chen Juan 
Published: December 2022

AbstractAndrogen receptor (AR) is strong association with breast cancer (BRCA). We aimed to investigate the effect of the androgen receptor signaling pathway-related long non-coding RNAs (ARSP-related lncRNAs) on the process of subtype classification and the tumor microenvironment (TME) of breast cancer (BRCA). Our study screen ARSP-related lncRNAs for the construction of a risk model. The single-sample gene set enrichment analysis (ssGSEA) method was used to detect the differences between the immune responses generated by the patients belonging to the low- and high-risk groups. The relationship between the ARSP-related lncRNAs and TME was explored following the process of cluster analysis. The univariate Cox analysis and the Lasso regression analysis method was used to screen nine of these lncRNAs to develop a risk model. It was observed that risk score could function as an independent prognostic factor, affecting the prognoses of patients suffering from BRCA. The validity of the model was assessed by analyzing the generated calibration curves and a nomogram. Additionally, the effect of the risk score on the extent of immune cell infiltration realized in TME was explored. M2 macrophages correlated positively, whereas NK cells, CD4+ T cells, and naive B cells correlated negatively with the risk score. Results obtained using the cluster analysis indicated that immune scores correlated with clustered subtypes. Finally, the risk score and cluster subtypes were analyzed to study the sensitivity of the patients toward different drugs to identify the appropriate therapeutic agents. The prognoses of patients suffering from BRCA can be accurately predicted by ARSP-related lncRNAs.
Health behaviors and psychological burden of adolescents after parental cancer diagnosis
Authors: Kim Kyae Hyung , Kim Min Sun , Choi Seulggie , Kim Sung Min , Park Sang Min 
Published: December 2022

AbstractThis study aims to investigate health behaviors and psychological burdens in adolescent children of cancer parents. We compared health behaviors and mental health outcomes between 266 adolescent children with a parent diagnosed with cancer and 3163 control adolescents aged 12–19 years using data from the Korean National Health and Nutrition Examination Survey (KNHANES) from 2010 to 2018. Alcohol use of adolescents increased between 2 and 5 years after parental cancer diagnosis (adjusted odds ratio [aOR], 1.72; 95% confidence interval [CI], 1.01–2.94) but decreased after 5 years. Parental cancer was associated with increased vaccination uptake in adolescents within 1 year of diagnosis (aOR, 3.19; 95% CI, 1.55–6.54), but after 2 years, there was no difference from rates in their peers. Maternal cancer was associated with increased depression among adolescents (aOR, 1.73; 95% CI, 1.10 − 2.73). Although the risks of suicidal thoughts/plans/attempts increased within 1 year after parental cancer diagnosis (aOR, 2.96; 95% CI, 1.00 − 8.83), it reduced 2 years after diagnosis, leading to no significant difference from the frequency in peers. Within five years after the parent was diagnosed with cancer, support for their adolescent children's health behaviors and mental health is necessary in the community.
Item format statistics and readability of extended matching questions as an effective tool to assess medical students
Authors: Frey Anna , Leutritz Tobias , Backhaus Joy , Hörnlein Alexander , König Sarah 
Published: December 2022

AbstractTesting based on multiple choice questions (MCQ) is one of the most established forms of assessment, not only in the medical field. Extended matching questions (EMQ) represent a specific type of MCQ designed to require higher levels of cognition, such as problem-solving. The purpose of this evaluation was to assess the suitability and efficiency of EMQ as an assessment method. EMQ were incorporated into the end-of-semester examination in internal medicine, in which 154 students participated, and compared with three established MCQ types. Item and examination quality were investigated, as well as readability and processing time. EMQ were slightly more difficult to score; however, both item discrimination and discrimination index were higher when compared to other item types. EMQ were found to be significantly longer and required more processing time, but readability was improved. Students judged EMQ as clearly challenging, but attributed significantly higher clinical relevance when compared to established MCQ formats. Using the Spearman-Brown prediction, only ten EMQ items would be needed to reproduce the Cronbach’s alpha value of 0.75 attained for the overall examination. EMQ proved to be both efficient and suitable when assessing medical students, demonstrating powerful characteristics of reliability. Their expanded use in favor of common MCQ could save examination time without losing out on statistical quality.
Fungivorous mites enhance the survivorship and development of stingless bees even when exposed to pesticides
Authors: Rosa-Fontana Annelise S. , Dorigo Adna Suelen , Malaquias José Bruno , Pachú Jéssica K. S. , Nocelli Roberta C. F. , Tosi Simone , Malaspina Osmar 
Published: December 2022

AbstractStingless bees are the largest group of eusocial bees in the world. They play an essential role as crop pollinators and have been considered for inclusion in pesticide risk assessments (RAs). Beyond the mutualism involving stingless bee larvae and fungi, the fungivorous miteProctotydaeus (Neotydeolus) alveariiproved to be interesting for studies of associations with stingless bees. Their presence is related to colony strength and health, showing a permanent-host-association level. Here, we tested whether the coexistence withP.(N.)alveariiaffects stingless bee larvae survivorship and development, including when fed pesticide-dosed food. We chose dimethoate, the reference standard for toxicity tests, and thiamethoxam, widely used in neotropical crops and listed to be reassessed in RAs. Bees associated with the mites showed higher larval survivorship rates, even in the dosed ones, and revealed changes in the developmental time and body size. Our study represents the first approach to stingless bee responses to the coexistence of fungivorous mites inside brood cells, leading us to believe that these mites play a beneficial role in stingless bees, including when they are exposed to pesticides.
Synthesis of monolith silica anchored graphene oxide composite with enhanced adsorption capacities for carbofuran and imidacloprid
Authors: Khan Musa , Muhammad Mian , AlOthman Zeid A. , Cheong Won Jo , Ali Faiz 
Published: December 2022

AbstractHighly efficient adsorbent was prepared for the removal of carbofuran and imidacloprid pesticides from wastewater. The silica monolith anchored graphene oxide composite was synthesized by the modified Fischer esterification protocol. The composite showed improved adsorption capacity for the removal of pesticides from wastewater. Graphene oxide was synthesized using the modified Hummer’s method, while the silica monolith was prepared via sol–gel method. The composite was characterized via X-ray diffraction, Fourier transform infra-red, Brunauer Emmett and Teller (BET/BJH) analysis, zeta potential, and FESEM imaging. Different adsorption parameters such as pH, contact time, adsorbate and adsorbent concentration, and temperature were optimized for the adsorption of pesticides. The equilibrium and kinetic models were applied to the adsorption process of the pesticides. Qe of the composite as found to be 342.46 mg g−1 for imidacloprid and 37.15 mg g−1 for carbofuran. The adsorption process followed the pseudo 2nd order kinetic model for carbofuran (R2~0.9971) and imidacloprid (R2~0.9967). The Freundlich isotherm best fitted to the adsorption data of the pesticides with R2 value of 0.9956 for carbofuran and 0.95 for imidacloprid. The resultant adsorbent/composite material came out with very good results for the removal of pesticides.
Deep learning approaches to predict 10-2 visual field from wide-field swept-source optical coherence tomography en face images in glaucoma
Authors: Moon Sangwoo , Lee Jae Hyeok , Choi Hyunju , Lee Sun Yeop , Lee Jiwoong 
Published: December 2022

AbstractClose monitoring of central visual field (VF) defects with 10-2 VF helps prevent blindness in glaucoma. We aimed to develop a deep learning model to predict 10-2 VF from wide-field swept-source optical coherence tomography (SS-OCT) images. Macular ganglion cell/inner plexiform layer thickness maps with either wide-field en face images (en face model) or retinal nerve fiber layer thickness maps (RNFLT model) were extracted, combined, and preprocessed. Inception-ResNet-V2 was trained to predict 10-2 VF from combined images. Estimation performance was evaluated using mean absolute error (MAE) between actual and predicted threshold values, and the two models were compared with different input data. The training dataset comprised paired 10-2 VF and SS-OCT images of 3,025 eyes of 1,612 participants and the test dataset of 337 eyes of 186 participants. Global prediction errors (MAEpoint-wise) were 3.10 and 3.17 dB for the en face and RNFLT models, respectively. The en face model performed better than the RNFLT model in superonasal and inferonasal sectors (P = 0.011 and P = 0.030). Prediction errors were smaller in the inferior versus superior hemifields for both models. The deep learning model effectively predicted 10-2 VF from wide-field SS-OCT images and might help clinicians efficiently individualize the frequency of 10-2 VF in clinical practice.
Association of the number of teeth and self-rated mastication with self-rated health in community-dwelling Japanese aged 40 years and older: the Yamagata cohort study
Authors: Ishikawa Shigeo , Konta Tsuneo , Susa Shinji , Ishizawa Kenichi , Makino Naohiko , Ueno Yoshiyuki , Okuyama Naoki , Iino Mitsuyoshi 
Published: December 2022

AbstractSelf-rated health (SRH) is a predictive factor for health-related prognoses such as mortality. This study aimed to comprehensively investigate the risk factors for poor SRH in the general population of Japan, focusing on the combination of the number of teeth and self-rated mastication. Individuals aged at least 40 years in Yamagata Prefecture, Japan, were surveyed from 2017 to 2021. The participants answered a self-administered postal survey on lifestyle factors, medical history, physical and mental conditions, oral health, and dietary intake, and 6739 participants were included. Multivariate logistic regression analysis showed that individuals with less than 20 teeth and who bite tightly on one side or neither side were at a 1.422- and 1.952-fold significantly higher risk, respectively, of poor SRH than individuals with at least 20 teeth and who bite tightly on both sides. Moreover, individuals who had less than 20 teeth but could bite tightly on both sides did not have a significant risk compared to those who had at least 20 teeth and could bite tightly on both sides. Regarding individuals with more than 20 teeth, there was no difference between those who could and could not bite tightly on both sides, although the odds ratios for poor SRH tended to increase for those who could bite on one side or neither side. Our results emphasize the importance of having at least 20 teeth without periodontal disease and oral rehabilitation using a type of prosthesis for SRH, even with less than 20 teeth.
Deaminative defluoroalkylation of α-trifluoromethylalkenes enabled by photoredox catalysis
Authors: Zhang Guodong , Wang Lei , Cui Liping , Gao Pan , Chen Feng 
Published: December 2022

A new photoredox-catalysed strategy to construct gem-difluoroallylarenes from α-trifluoromethylalkenes and primary amines has been developed. This deaminative defluoroallylation is compatible with sterically hindered α-3° and 2° primary amines.
Cell outage compensation scheme based on hybrid genetic algorithms and neural networks
Authors: Yonan Mina , Hassan Ayman M. , Emary Eid 
Published: December 2022

AbstractIn this paper, a system for LTE Cell Outage Compensation (COC) based on hybrid Genetic Algorithms (GA) and Artificial Neural Networks (ANN) has been proposed. COC aims to minimize the impact of cell outage which leads to decrease in operator revenue and/or the customer satisfaction. The proposed system adopts an optimization module to search for an optimal setting of a set of LTE operational parameters to achieve a targeted set of key performance indicators. The optimization process always leads to good enough solutions, but it also requires a huge number of trials. So, in the proposed system, a huge set of outage scenarios is collected along with their optimal argument settings that are acquired by the optimization module and they are used to train an artificial neural network (ANN) module, which acts as an expert that can optimally act on the different situations in real‐time mode. Simulation environment is set to evaluate different LTE measures and Key Performance Indicators (KPIs) on different outage scenarios. Simulation results proved the capability and robustness of the proposed system to minimize the number of users experiencing outage. Simulation results also show that the proposed system achieves optimal parameter settings without violating the overall system performance and with minimal processing time, while introducing significant impact on the performance of LTE.
Klinische und prozedurale Charakteristika von Patienten mit akutem Koronarsyndrom während der COVID-19-Pandemie 2020 im Vergleich zu einer Kontrollgruppe aus 2019
Authors: Ong Peter , Schäfer Stefanie , Karagülle-Dörrenhaus Louisa , Rau Clara , Fröbel Sarah , Spaich Sebastian , Bekeredjian Raffi 
Published: December 2022

Zusammenfassung
Hintergrund Während der COVID-19-Pandemie wurden ärztliche Behandlungen abgesagt und notfallmäßige Behandlungen aus Angst vor einer Ansteckung mit Sars-CoV-2 hinausgezögert. Letzteres betraf auch Patienten mit akutem Koronarsyndrom. Eine detaillierte Beschreibung dieser Patienten in Bezug auf das Management im Herzkatheterlabor ist bislang aber noch nicht erfolgt.
Methoden Retrospektive Querschnittsstudie mit Erfassung aller Patienten, die wegen eines akuten Koronarsyndroms (STEMI, NSTEMI, instabile Angina) einer Herzkatheteruntersuchung vom 01.03.2019–30.06.2019 (Gruppe A) sowie vom 01.03.2020–30.06.2020 (Gruppe B) unterzogen wurden. Demografische Faktoren, kardiovaskuläre Risikofaktoren sowie prozedurale Daten (z.B. Ausmaß der KHK, klinische Diagnose, Revaskularisationsstrategie und -ergebnis, Einsatz eines Herzunterstützungssystems, Door-to-Needle-Time, In-hospital-Mortalität) wurden verglichen.
Ergebnisse 469 Patienten wurden in die Studie eingeschlossen (Gruppe A 239, Gruppe B 230 Patienten, mittleres Alter 69 Jahre, 71% männlich). Verglichen mit Gruppe A zeigten sich bei Gruppe B weniger Patienten mit STEMI und instabiler Angina pectoris (p=0,033), dafür mehr Patienten mit NSTEMI (p=0,047). Patienten in der Gruppe B hatten seltener eine koronare Eingefäßerkrankung (p=0,001), dafür wiesen diese häufiger eine koronare Dreigefäßerkrankung als in der Gruppe A auf (p=0,052).
Schlussfolgerung Trotz vergleichbarer Gesamtzahlen wurden Patienten mit akutem Koronarsyndrom während der COVID-19-Pandemie im Vergleich zu einer Kontrollgruppe häufiger mit NSTEMI aufgenommen und hatten ein größeres Ausmaß der KHK.
Early Biomarkers of Bronchopulmonary Dysplasia: A Quick Look to the State of the Art
Authors: Bonadies Luca , Moschino Laura , Valerio Enrico , Giordano Giuseppe , Manzoni Paolo , Baraldi Eugenio 
Published: December 2022

Bronchopulmonary dysplasia (BPD) is one of the most common pulmonary sequelae of extreme preterm birth, with long-lasting respiratory symptoms and reduced lung function. A reliable predictive tool of BPD development is urgent and its search remains one of the major challenges for neonatologists approaching the upcoming arrival of possible new preventive therapies. Biomarkers, identifying an ongoing pathogenetic pathway, could allow both the selection of preterm infants with an evolving disease and potentially the therapeutic targets of the indicted pathogenesis. The “omic” sciences represent well-known promising tools for this objective. In this review, we resume the current laboratoristic, metabolomic, proteomic, and microbiomic evidence in the prediction of BPD.
Key Points