bluuebunny/crossref_metadata_2025_split huggingface dataset:
Managing air quality: Predicting exceedances of legal limits for PM10 and O3 concentration using machine learning methods
Authors: Krylova Maryna , Okhrin Yarema 
Published: November 2021

AbstractAir pollution imposes great costs on productivity, safety and health of individuals and dictates necessity of a proactive air pollution management. This, in turn, requires powerful tools for air quality modeling. In this article we develop a two‐stage procedure for predicting exceedances of the EU legal limits for PM10 and O concentrations using hourly data. Within the first stage we deploy machine learning methods to produce accurate 24‐h‐ahead forecasts of hourly pollutant concentrations at seven specific locations in the cities of Augsburg and Munich, Germany. The best performance was shown by the Stochastic Gradient Boosting Model—an ensemble tree‐based method, especially convenient because of its computational efficiency and robustness to overfitting. Its predictive ability was largely superior to that reported by similar studies. In the second stage, the hourly forecasts were used to predict the exceedances of the EU daily limits for PM10 and O concentrations. For both pollutants we could achieve the average probability of exceedances detection above 80%, while keeping the probability of false alarms at a reasonably low level. Such satisfactory results show that our approach can be successfully applied to anticipate the shocks, which would allow authorities to manage them in the most effective manner.
Tracing the progress of scenario research in business and management
Authors: Jashari Arbrie , Tiberius Victor , Dabić Marina 
Published: November 2021

AbstractBusiness and management research on scenarios has been highly productive over the decades but led to a complex literature that is hard to oversee. To organize the field and identify distinguishable research clusters, we conducted a co‐citation analysis focusing on the long‐term history of research. We compare our findings with a previously published bibliographic coupling, focusing on the more recent research to trace its development over time. Our study revealed six research clusters: (1) Planning the Future with Scenarios, (2) Scenario Planning in Strategic Management, (3) Reinforcing the Scenario Technique, (4) Integration of Scenario Planning and MCDA, (5) Combination of Different Methods, and (6) Decision‐making through Stochastic Programming, whereas the bibliographic coupling generated 11 clusters. Some former research clusters were divided into separate new clusters, while others were united. Additionally, completely new clusters emerged. Future research on scenarios is expected (1) to further differentiate into strategy and operations, (2) to be based on “behavioral futures” or “behavioral foresight” as a new research stream, (3) to advance the scenario technique methodically and include new specific scenario generation methods, and (4) to put forth new application areas.
US students’ perceptions on environmental sustainability in dental school
Authors: Gershberg Nicole C. , Lee Jennifer , Murphree Jessica K. , Parchure Ashwini , Hackley Donna M. 
Published: November 2021

AbstractObjectivesAt present, there are no published reports assessing pre‐doctoral curricular experience or participatory involvement with Environmental Sustainability in Dentistry (ESD) in the United States. This study aims to assess whether students enrolled in US dental schools receive any training with ESD and gauge dental students’ level of interest and attitudes regarding ESD within their dental education.MethodsA descriptive cross‐sectional study utilizing a 16‐questions validated survey was conducted on Qualtrics. Data analysis included descriptive statistics.ResultsA total of 378 dental students from 17 US dental schools participated (response rate 5%). Students reported that ESD was “quite” or “extremely” important (83%). However, 75% of students reported being “not at all” or “slightly” knowledgeable. Only 5% reported ESD content in their dental education. Students suggested that ESD could be integrated into existing coursework relating to infection control, practice management, and dental public health.ConclusionBy understanding students’ level of interest, attitudes toward importance, and current level of curricular content on ESD, dental educators can develop best practices for educating future practitioners on environmental sustainability.
Productive tensions? Analyzing the arguments made about the field of engineering education research
Authors: Klassen Mike , Case Jennifer M. 
Published: November 2021

AbstractBackgroundA body of literature has arisen analyzing and legitimating the emerging field of engineering education research (EER). Using concepts from the sociology of knowledge, EER can be described as a region because it has relationships both to other academic fields and to its field of practice. Of interest is the strength of boundaries between these fields, described by the sociologist Bernstein's concept of classification.Purpose/HypothesisThis study addresses the research questions: (1) How, when and by whom are arguments made to strengthen or weaken the boundaries, first between EER and other academic fields and second between EER and engineering teaching? (2) How do these arguments change across time and national contexts?Design/MethodDrawing on a survey of 21 EER experts, this sociological discourse analysis focuses on a purposive dataset of 17 papers from 2000 to 2020.ResultsThe study identified three main arguments in this literature, favoring: (1) strong classification (a singular in sociological terms); (2a) a region linked outward to teaching practice; and (2b) a region linked inward to other social science disciplines.ConclusionsThe argument for EER as a strongly classified field has served value in establishing legitimacy and associated resources in some contexts but has not yet delivered a unique knowledge base for such legitimation. An alternative framing holds together the productive tension between two directions in which EER as a region can face: Looking inward to parent disciplines for theoretical and methodological direction and looking outward to the world of practice for meaningful problems to guide its studies.
Artificial intelligence enhances the accuracy of portal and hepatic vein extraction in computed tomography for virtual hepatectomy
Authors: Kazami Yusuke , Kaneko Junichi , Keshwani Deepak , Takahashi Ryugen , Kawaguchi Yoshikuni , Ichida Akihiko , Ishizawa Takeaki , Akamatsu Nobuhisa , Arita Junichi , Hasegawa Kiyoshi 
Published: November 2021

AbstractBackground/PurposeCurrent conventional algorithms used for 3‐dimensional simulation in virtual hepatectomy still have difficulties distinguishing the portal vein (PV) and hepatic vein (HV). The accuracy of these algorithms was compared with a new deep‐learning based algorithm (DLA) using artificial intelligence.MethodsA total of 110 living liver donor candidates until 2017, and 46 donor candidates until 2019 were allocated to the training group and validation groups for the DLA, respectively. All PV or HV branches were labeled based on Couinaud's segment classification and the Brisbane 2000 Terminology by hepato‐biliary surgeons. Misclassified and missing branches were compared between a conventional tracking‐based algorithm (TA) and DLA in the validation group.ResultsThe sensitivity, specificity, and Dice coefficient for the PV were 0.58, 0.98, and 0.69 using the TA; and 0.84, 0.97, and 0.90 using the DLA (P < .001, excluding specificity); and for the HV, 0.81, 087, and 0.83 using the TA; and 0.93, 0.94 and 0.94 using the DLA (P < .001 to P = .001). The DLA exhibited greater accuracy than the TA.ConclusionCompared with the TA, artificial intelligence enhanced the accuracy of extraction of the PV and HVs in computed tomography.
The relative impact of different ‘resistant behavioural responses’ on interrogative suggestibility in children: The powerful contribution of ‘direct explanation’ replies to unanswerable questions
Authors: Gudjonsson Gisli , Vagni Monia , Maiorano Tiziana , Giostra Valeria , Pajardi Daniela 
Published: November 2021

AbstractThe aim of this study was to investigate the different types of resistant behavioural responses to unanswerable questions, their respective individual contribution to the overall variance in resistance efficacy, and their differential protective effect on repeated questioning, interrogative pressure, and delayed suggestibility. The participants were 360 children aged between 7 and 17 years, 180 of whom were suspected victims of sexual abuse and 180 matched peers for age, sex and IQ. All children completed the Gudjonsson Suggestibility Scale 2. Delayed suggestibility was measured after a 1‐week delay. The findings show that ‘don't know’, ‘direct explanation’, and ‘no’ answers are unrelated response styles that have individual effects on resistance to misleading questions. ‘Direct explanation’ answers are most stable and robust and increase incrementally with age in children, whilst ‘no’ answers decline. The findings suggest that ‘Don't know’, ‘direct explanation’, and ‘no’ answers are driven by different cognitive and social processes.
Tumor margins that lead to reoperation in breast cancer: A retrospective register study of 4,489 patients
Authors: Lepomäki Maiju , Karhunen‐Enckell Ulla , Tuominen Jalmari , Kronqvist Pauliina , Oksala Niku , Murtola Teemu , Roine Antti 
Published: November 2021

AbstractBackground and ObjectivesOptimal margins for ductal carcinoma in situ (DCIS) remain controversial in breast‐conserving surgery (BCS) and mastectomy. We examine the association of positive margins, reoperations, DCIS and age.MethodsA retrospective study of histopathological reports (4489 patients). Margin positivity was defined as ink on tumor for invasive carcinoma. For DCIS, we applied 2 mm anterior and side margin thresholds, and ink on tumor in the posterior margin.ResultsThe incidence of positive side margins was 20% in BCS and 5% in mastectomies (p < 0.001). Of these patients, 68% and 14% underwent a reoperation (p < 0.001). After a positive side margin in BCS, the reoperation rates according to age groups were 74% (<49), 69% (50–64), 68% (65–79), and 42% (80+) (p = 0.013). Of BCS patients with invasive carcinoma in the side margin, 73% were reoperated on. A reoperation was performed in 70% of patients with a close (≤1 mm) DCIS side margin, compared to 43% with a wider (1.1–2 mm) margin (p = 0.002). The reoperation rates were 55% in invasive carcinoma with close DCIS, 66% in close extensive intraductal component (EIC), and 83% in close pure DCIS (p < 0.001).ConclusionsIndividual assessment as opposed to rigid adherence to guidelines was used in the decision on reoperation.
Electromyographic analysis of maximal voluntary contraction of female pelvic floor muscles: Intrarater and interrater reliability study
Authors: Volpato Maria P. , Menezes Michele , Prado Tirza Sathler , Piccini Adriana , Ferreira Arthur Sá , Botelho Simone 
Published: November 2021

AbstractAimsTo investigate the intrarater and interrater reliability of the surface electromyography (sEMG) of female pelvic floor muscles (PFM) by visual determination of the onset‐offset during maximal voluntary contraction (MVC).MethodsIntrarater and interrater reliability study. Three MVC, recorded for 5 s (s) each and separated by intervals of 60 s, were requested. Two independent raters visually determined the onset and offset of each MVC. The agreement between raters on the quality of the signals was analyzed both qualitatively (visual inspection) and quantitatively (signal‐to‐noise ratio, SNR). The reliability of integral and median frequency (MDF) of sEMG signals during MVC was analyzed using intraclass correlation coefficient (ICC) models (ICC2,1, ICC2,3) and repeated measures analysis of variance.ResultsA total of 58 women (mean age of 54 years) and two independent raters participated in the analyses. Of the total, 22 (37.9%) were considered of high quality by both raters and the SNR ranged 34.3–22.2 decibels (dB). The agreement of qualitative visual evaluation of the sEMG signal was fair (Cohen's κ = 0.306 [0.148; 0.463]). Intrarater and interrater reliability were excellent for the average of the three MVC, both for integral (ICC2,3 = 0.884 [0.821; 0.925]; ω2 = −0.006, p = 0.558) and MDF (ICC2,3 = 0.998 [0.998; 0.999]; ω2 = −0.009, p = 0.992).ConclusionQualitative visual analysis of the sEMG signal presents fair interrater agreement and reflects the SNR. Visual determination of the onset and offset of the MVC of PFM using the standard interface of the sEMG software has excellent reliability for determination of muscle activation variables.
Dynamic contrast‐enhanced CEST MRI using a low molecular weight dextran
Authors: Han Zheng , Chen Chuheng , Xu Xiang , Bai Renyuan , Staedtke Verena , Huang Jianpan , Chan Kannie W. Y. , Xu Jiadi , Kamson David O. , Wen Zhibo , Knutsson Linda , van Zijl Peter C. M. , Liu Guanshu 
Published: November 2021

Natural and synthetic sugars have great potential for developing highly biocompatible and translatable chemical exchange saturation transfer (CEST) MRI contrast agents. In this study, we aimed to develop the smallest clinically available form of dextran, Dex1 (molecular weight, MW ~ 1 kDa), as a new CEST agent. We first characterized the CEST properties of Dex1 in vitro at 11.7 T and showed that the Dex1 had a detectable CEST signal at ~1.2 ppm, attributed to hydroxyl protons. In vivo CEST MRI studies were then carried out on C57BL6 mice bearing orthotopic GL261 brain tumors (n = 5) using a Bruker BioSpec 11.7 T MRI scanner. Both steady‐state full Z‐spectral images and single offset (1.2 ppm) dynamic dextran‐enhanced (DDE) images were acquired before and after the intravenous injection of Dex1 (2 g/kg). The steady‐state Z‐spectral analysis showed a significantly higher CEST contrast enhancement in the tumor than in contralateral brain (∆MTRasym1.2 ppm = 0.010 ± 0.006 versus 0.002 ± 0.008, P = 0.0069) at 20 min after the injection of Dex1. Pharmacokinetic analyses of DDE were performed using the area under the curve (AUC) in the first 10 min after Dex1 injection, revealing a significantly higher uptake of Dex1 in the tumor than in brain tissue for tumor‐bearing mice (AUC[0‐10 min] = 21.9 ± 4.2 versus 5.3 ± 6.4%·min, P = 0.0294). In contrast, no Dex1 uptake was foundling in the brains of non‐tumor‐bearing mice (AUC[0‐10 min] = −1.59 ± 2.43%·min). Importantly, the CEST MRI findings were consistent with the measurements obtained using DCE MRI and fluorescence microscopy, demonstrating the potential of Dex1 as a highly translatable CEST MRI contrast agent for assessing tumor hemodynamics.
Reversible addition‐fragmentation chain transfer cyclopolymerization of dimethacryloyl open‐cage silsesquioxane
Authors: Okamoto Keigo , Igarashi Amato , Imoto Hiroaki , Naka Kensuke 
Published: November 2021

AbstractWe recently reported a bifunctional methacrylate monomer having a side‐opened cage‐silsesquioxane as a scaffold. Although free‐radical polymerization proceeded mainly through cyclopolymerization, cross‐linking structures were included. In this work, we have optimized the reaction conditions for reversible addition‐fragmentation chain transfer cyclopolymerization using 2‐cyano‐2‐propyl dithiobenzoate. As a result, polymers with relatively low polydispersity indices were successfully obtained. After removal of dithiobenzoate end groups, the transparency was high (>98%) in the range of visible range (400–800 nm). The content of the unreacted dangling vinyl groups, which was controlled by monomer concentration, affected the thermal stability of the resulting polymers. In addition, the bifunctional cage‐silsesquioxane monomer can be readily copolymerized with methyl methacrylate without cross‐linking.
A multicenter retrospective study of clinical features, laboratory characteristics, and outcomes of 166 hospitalized children with coronavirus disease 2019 (COVID‐19): A preliminary report from Iranian Network for Research in Viral Diseases (INRVD)
Authors: Sedighi Iraj , Fahimzad Alireza , Pak Neda , Khalili Mitra , Shokrollahi Mohammad R. , Heydari Hosein , Movahedi Zahra , Dashti Anahita S. , Cheraghali Fatemeh , Shamsizadeh Ahmad , Mirkarimi Mohammadreza , Alisamir Mohsen , Hashemian Houman , Soltani Jafar , Hosseininasab Ali , Hamedi Abdolkarim , Rezai Mohammad S. , Sayyahfar Shirin , Kahbazi Manijeh , Abedini Aliakbar , Akhondzadeh Afsaneh , Sherkatolabbasieh Hamid R. , Razlansari Ali Akbar , Alibeik Mina , Malayeri Soheil Omid , Shalchi Zohreh , Shahabinezhad Ali , Asl Parinaz K. , Monfared Fatemeh N. , Maleki Shiva , Kakavand Rezvan , Farahmand Mohammad , Shahbaz Babak , Tavakoli Ahmad , Rezayat Sara A. , Karimi Mohammad R. , Erfani Yousef , Jafarpour Ali , Soltani Saber , Zandi Milad , Ghaziasadi Azam , Dowran Razieh , Azimi Shohreh , Marvi Shima S. , Abazari Mohammad F. , Norouzi Mehdi , Azhar Iman R. , Jazayeri Seyed M. 
Published: November 2021

AbstractBackgroundThe objectives of this study were to analyze the clinical features and laboratory profiles and risk factors associated with critical illness of children with severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2).MethodsOne hundred and sixty‐six coronavirus disease 2019 (COVID‐19) Iranian pediatric patients were recruited through a collaborative research network between March and May 2020. Demographics, clinical, laboratory, and radiological results were obtained from patient files.ResultsOf 166 patients, 102 (61%) and 64 (39%) were males and females, respectively. Ninety‐six (57.8%) and 70 (42.2%), had moderate and severe conditions, respectively. Thirty (18%) of patients died. The common symptoms were fever (73%), cough (54%), and shortness of breath, headache decrease in neutrophil and platelet counts; increase values in lactate dehydrogenase, decrease in the blood pH and HCO3 were significantly associated with the disease severity. 54% and 56% of patients showed abnormal radiographic appearance in Chest X‐ray and in chest computed tomography scan, respectively. Sixty‐one (36.7%) of patients were referred to intensive care unit (ICU). The coexistence of comorbidity was the main factor associated with ICU admission, shock, arrhythmia, acute kidney injury, acute respiratory distress syndrome, acute cardiac injury, and death.ConclusionsWe describe a higher than previously recognized rate of COVID‐19 mortality in Iranian pediatric patients. Epidemiological factors, such as the relatively high case fatality rate in the country and the presence of underlying diseases were the main factors for the high death rate.
The importance of residue‐level filtering and the Top2018 best‐parts dataset of high‐quality protein residues
Authors: Williams Christopher J. , Richardson David C. , Richardson Jane S. 
Published: November 2021

AbstractWe have curated a high‐quality, “best‐parts” reference dataset of about 3 million protein residues in about 15,000 PDB‐format coordinate files, each containing only residues with good electron density support for a physically acceptable model conformation. The resulting prefiltered data typically contain the entire core of each chain, in quite long continuous fragments. Each reference file is a single protein chain, and the total set of files were selected for low redundancy, high resolution, good MolProbity score, and other chain‐level criteria. Then each residue was critically tested for adequate local map quality to firmly support its conformation, which must also be free of serious clashes or covalent‐geometry outliers. The resulting Top2018 prefiltered datasets have been released on the Zenodo online web service and are freely available for all uses under a Creative Commons license. Currently, one dataset is residue filtered on main chain plus Cβ atoms, and a second dataset is full‐residue filtered; each is available at four different sequence‐identity levels. Here, we illustrate both statistics and examples that show the beneficial consequences of residue‐level filtering. That process is necessary because even the best of structures contain a few highly disordered local regions with poor density and low‐confidence conformations that should not be included in reference data. Therefore, the open distribution of these very large, prefiltered reference datasets constitutes a notable advance for structural bioinformatics and the fields that depend upon it.
A continued learning approach for model‐informed precision dosing: Updating models in clinical practice
Authors: Maier Corinna , de Wiljes Jana , Hartung Niklas , Kloft Charlotte , Huisinga Wilhelm 
Published: November 2021

AbstractModel‐informed precision dosing (MIPD) is a quantitative dosing framework that combines prior knowledge on the drug‐disease‐patient system with patient data from therapeutic drug/ biomarker monitoring (TDM) to support individualized dosing in ongoing treatment. Structural models and prior parameter distributions used in MIPD approaches typically build on prior clinical trials that involve only a limited number of patients selected according to some exclusion/inclusion criteria. Compared to the prior clinical trial population, the patient population in clinical practice can be expected to also include altered behavior and/or increased interindividual variability, the extent of which, however, is typically unknown. Here, we address the question of how to adapt and refine models on the level of the model parameters to better reflect this real‐world diversity. We propose an approach for continued learning across patients during MIPD using a sequential hierarchical Bayesian framework. The approach builds on two stages to separate the update of the individual patient parameters from updating the population parameters. Consequently, it enables continued learning across hospitals or study centers, because only summary patient data (on the level of model parameters) need to be shared, but no individual TDM data. We illustrate this continued learning approach with neutrophil‐guided dosing of paclitaxel. The present study constitutes an important step toward building confidence in MIPD and eventually establishing MIPD increasingly in everyday therapeutic use.
Antitumor effect of acanthoic acid against primary effusion lymphoma via inhibition of c‐FLIP
Authors: Sittithumcharee Gunya , Kariya Ryusho , Kasemsuk Teerapich , Saeeng Rungnapha , Okada Seiji 
Published: November 2021

AbstractAcanthoic acid (AA) is an active substance that is extracted from Croton oblongifolius Roxb., a traditional plant in Thailand. The antiinflammatory effect of AA on NF‐κB pathway has been exclusively reported, however, its anticancer effect is still lacking. PEL is a B cell lymphoma that is mostly found in HIV patients. The prognosis and progression of PEL patients are terribly poor with a median survival time less than 6 months, so the new effective treatment is urgently needed. In this study, we found that AA effectively inhibited PEL cell proliferation with IC50s at 120–130 μM in well‐representative cells, while the IC50s of AA in PBMC were higher (>200 μM). AA increased percentages of Annexin V/PI positive cells, whereas adding of caspase inhibitor (Q‐VD‐OPh) prevented AA‐induced cell death. The antiapoptotic protein, c‐FLIP, was downregulated by AA which leading to the activation of caspase‐8 and ‐3. Combination of AA and TRAIL dramatically enhanced apoptotic cell death. In PEL xenograft model, AA at the dose of 250 mg/kg effectively inhibited PEL tumor growth without detectable toxicities assessed by mice weight and appearance.