bluuebunny/crossref_metadata_2025_split huggingface dataset:
Explainable online ensemble of deep neural network pruning for time series forecasting
Authors: Saadallah Amal , Jakobs Matthias , Morik Katharina 
Published: August 2022

AbstractBoth the complex and evolving nature of time series data make forecasting among one of the most challenging tasks in machine learning. Typical methods for forecasting are designed to model time-evolving dependencies between data observations. However, it is generally accepted that none of them are universally valid for every application. Therefore, methods for learning heterogeneous ensembles by combining a diverse set of forecasters together appears as a promising solution to tackle this task. While several approaches in the context of time series forecasting have focused on how to combine individual models in an ensemble, ranging from simple and enhanced averaging tactics to applying meta-learning methods, few works have tackled the task of ensemble pruning, i.e. individual model selection to take part in the ensemble. In addition, in classical ML literature, ensemble pruning techniques are mostly restricted to operate in a static manner. To deal with changes in the relative performance of models as well as changes in the data distribution, we employ gradient-based saliency maps for online ensemble pruning of deep neural networks. This method consists of generating individual models’ performance saliency maps that are subsequently used to prune the ensemble by taking into account both aspects of accuracy and diversity. In addition, the saliency maps can be exploited to provide suitable explanations for the reason behind selecting specific models to construct an ensemble that plays the role of a forecaster at a certain time interval or instant. An extensive empirical study on many real-world datasets demonstrates that our method achieves excellent or on par results in comparison to the state-of-the-art approaches as well as several baselines. Our code is available on Github (https://github.com/MatthiasJakobs/os-pgsm/tree/ecml_journal_2022).
Recursive tree grammar autoencoders
Authors: Paaßen Benjamin , Koprinska Irena , Yacef Kalina 
Published: August 2022

AbstractMachine learning on trees has been mostly focused on trees as input. Much less research has investigated trees as output, which has many applications, such as molecule optimization for drug discovery, or hint generation for intelligent tutoring systems. In this work, we propose a novel autoencoder approach, called recursive tree grammar autoencoder (RTG-AE), which encodes trees via a bottom-up parser and decodes trees via a tree grammar, both learned via recursive neural networks that minimize the variational autoencoder loss. The resulting encoder and decoder can then be utilized in subsequent tasks, such as optimization and time series prediction. RTG-AEs are the first model to combine three features: recursive processing, grammatical knowledge, and deep learning. Our key message is that this unique combination of all three features outperforms models which combine any two of the three. Experimentally, we show that RTG-AE improves the autoencoding error, training time, and optimization score on synthetic as well as real datasets compared to four baselines. We further prove that RTG-AEs parse and generate trees in linear time and are expressive enough to handle all regular tree grammars.
Mitochondrial Changes in Rat Brain Endothelial Cells Associated with Hepatic Encephalopathy: Relation to the Blood–Brain Barrier Dysfunction
Authors: Milewski Krzysztof , Orzeł-Gajowik Karolina , Zielińska Magdalena 
Published: August 2022

AbstractThe mechanisms underlying cerebral vascular dysfunction and edema during hepatic encephalopathy (HE) are unclear. Blood–brain barrier (BBB) impairment, resulting from increased vascular permeability, has been reported in acute and chronic HE. Mitochondrial dysfunction is a well-documented result of HE mainly affecting astrocytes, but much less so in the BBB-forming endothelial cells. Here we review literature reports and own experimental data obtained in HE models emphasizing alterations in mitochondrial dynamics and function as a possible contributor to the status of brain endothelial cell mitochondria in HE. Own studies on the expression of the mitochondrial fusion-fission controlling genes rendered HE animal model-dependent effects: increase of mitochondrial fusion controlling genes opa1, mfn1 in cerebral vessels in ammonium acetate-induced hyperammonemia, but a decrease of the two former genes and increase of fis1 in vessels in thioacetamide-induced HE. In endothelial cell line (RBE4) after 24 h ammonia and/or TNFα treatment, conditions mimicking crucial aspects of HE in vivo, we observed altered expression of mitochondrial fission/fusion genes: a decrease of opa1, mfn1, and, increase of the fission related fis1 gene. The effect in vitro was paralleled by the generation of reactive oxygen species, decreased total antioxidant capacity, decreased mitochondrial membrane potential, as well as increased permeability of RBE4 cell monolayer to fluorescein isothiocyanate dextran. Electron microscopy documented enlarged mitochondria in the brain endothelial cells of rats in both in vivo models. Collectively, the here observed alterations of cerebral endothelial mitochondria are indicative of their fission, and decreased potential of endothelial mitochondria are likely to contribute to BBB dysfunction in HE.
Magnetic resonance imaging findings of cystic ovarian tumors: major differential diagnoses in five types frequently encountered in daily clinical practice
Authors: Ohya Ayumi , Fujinaga Yasunari 
Published: August 2022

AbstractThere are many types of ovarian tumors, and these different types often form cystic masses with a similar appearance, which can make their differentiation difficult. However, with the exclusion of rare ovarian tumors, the number of ovarian tumors encountered in daily practice is somewhat fixed. It goes without saying that magnetic resonance imaging (MRI) is useful for differentiating ovarian tumors. In this review, we summarize the differential diagnoses for each of the five types of MRI findings commonly encountered in daily practice. First, unilocular cystic masses without mural nodules/solid components include benign lesions such as serous cystadenoma, functional cysts, surface epithelial inclusion cysts, paratubal cysts, and endometriosis. Second, multilocular cystic ovarian lesions include mucinous tumors and ovarian metastases. It should be noted that mucinous tumors may be diagnosed as borderline or carcinoma, even if no solid component is observed. Third, cystic lesions with mural nodules that are unrelated to endometriosis include serous borderline tumor and serous carcinoma. Cystic lesions with solid components are more likely to be malignant, but some may be diagnosed as benign. Fourth, ovarian tumors deriving from endometriosis include seromucinous borderline tumors, endometrioid carcinoma, and clear cell carcinoma. These tumors sometimes need to be differentiated from serous tumors. Finally, cystic lesions with lipid contents include teratoma-related tumors. In mature cystic teratoma, mural nodules (called “Rokitansky protuberance” or “dermoid nipple”) are sometimes seen, but they do not suggest malignancy. Some of these lesions can be diagnosed accurately by considering their characteristic imaging findings, their changes over time, MRI findings other than those of the primary lesion, and information from other modalities such as tumor markers. To ensure the optimal treatment for ovarian tumors, it is important to estimate the histological type as well as to diagnose whether a lesion is benign or malignant.
Role of prognostic scores in predicting in-hospital mortality and failure of non-invasive ventilation in adults with COVID-19
Authors: Innocenti Francesca , Lazzari Cristian , Paolucci Elisa , De Paris Anna , Lagomarsini Alessia , Guerra Federica , Alleonato Patrizia , Casalini Lisa , Buggea Michele , Caldi Francesca , Zanobetti Maurizio , Pieralli Filippo , Guazzini Giulia , Lastraioli Lisa , Luise Fabio , Milia Alessandro , Sammicheli Lucia , Maddaluni Lucia , Lavorini Federico , Pini Riccardo 
Published: August 2022

AbstractWe tested the prognostic performance of different scores for the identification of subjects with acute respiratory failure by COVID-19, at risk of in-hospital mortality and NIV failure. We conducted a retrospective study, in the Medical High-Dependency Unit of the University-Hospital Careggi. We included all subjects with COVID-19 and ARF requiring non-invasive ventilation (NIV) between March 2020 and January 2021. Clinical parameters, the HACOR score (Heart rate, Acidosis, Consciousness, Oxygenation, Respiratory Rate) and ROX index ((SpO2/FiO2)/respiratory rate) were collected 3 (-3) and 1 day (-1) before the NIV initiation, the first day of treatment (Day0) and after 1 (+1), 2 (+2), 5 (+5), 8 (+8) and 11 (+11) of treatment. The primary outcomes were in-hospital mortality and NIV failure. We included 135 subjects, mean age 69±13 years, 69% male. Patients, who needed mechanical ventilation, showed a higher HACOR score (Day0: 6 [5-7] vs 6 [6-7], p=.057; Day+2: 6 [6-6] vs 6 [4-6], p=.013) and a lower ROX index (Day0: 4.2±2.3 vs 5.1±2.3, p=.055; Day+2: 4.4±1.2.vs 5.5±1.3, p=.001) than those with successful NIV. An HACOR score >5 was more frequent among nonsurvivors (Day0: 82% vs 58%; Day2: 82% vs 48%, all p<0.01) and it was associated with in-hospital mortality (Day0: RR 5.88, 95%CI 2.01-17.22; Day2: RR 4.33, 95%CI 1.64-11.41) independent to age and Charlson index. In conclusion, in subjects treated with NIV for ARF caused by COVID19, respiratory parameters collected after the beginning of NIV allowed to identify those at risk of an adverse outcome. An HACOR score >5 was independently associated with increased mortality rate.
Laser Powder Bed Fusion of ODS 14YWT from Gas Atomization Reaction Synthesis Precursor Powders
Authors: Saptarshi Sourabh , deJong Matthew , Rock Christopher , Anderson Iver , Napolitano Ralph , Forrester Jennifer , Lapidus Saul , Kaoumi Djamel , Horn Timothy 
Published: August 2022

AbstractLaser powder bed fusion (LPBF) additive manufacturing (AM) is a promising route for the fabrication of oxide dispersion strengthened (ODS) steels. In this study, 14YWT ferritic steel powders were produced by gas atomization reaction synthesis (GARS). The rapid solidification resulted in the formation of stable, Y-containing intermetallic Y2Fe17 on the interior of the powder and a stable Cr-rich oxide surface. The GARS powders were consolidated with LPBF. Process parameter maps identified a stable process window resulting in a relative density of 99.8%. Transmission electron microscopy and high-energy x-ray diffraction demonstrated that during LPBF, the stable phases in the powder dissociated in the liquid melt pool and reacted to form a high density (1.7 × 1020/m3) of homogeneously distributed Ti2Y2O7 pyrochlore dispersoids ranging from 17 to 57 nm. The use of GARS powder bypasses the mechanical alloying step typically required to produce ODS feedstock. Preliminary mechanical tests demonstrated an ultimate tensile and yield strength of 474 MPa and 312 MPa, respectively.
I value the problem, but I don’t think my students will: preservice teachers’ judgments of task value and self-efficacy for modelling, word, and intramathematical problems
Authors: Böswald Valentin , Schukajlow Stanislaw 
Published: August 2022

AbstractAccording to expectancy-value models, two important motivational constructs are task value and self-efficacy expectations. As students work intensively on mathematical problems in the classroom, teachers need the competence to judge whether students value solving the problem and how confident they are that they will succeed. However, not much is known about the mechanisms behind teachers’ judgments concerning students’ motivation. The goal of the present study was to answer the following research questions: (a) How do preservice teachers rate their own task value and self-efficacy for modelling, word, and intramathematical problems? (b) Are there differences in preservice teachers’ diagnostic judgments concerning school students’ task value and self-efficacy for modelling, word, and intramathematical problems? (c) Do preservice teachers’ own task value and self-efficacy for modelling, word, and intramathematical problems differ from preservice teachers’ judgments of school students’ task value and self-efficacy? A total of 182 preservice teachers were asked about the value of 12 problems, their confidence in solving the problems, and how hypothetical ninth graders would judge these constructs. Preservice teachers’ ratings of their own perceptions regarding both constructs were lower for modelling problems than for other problems. When judging school students’ motivation, ratings of both constructs were higher for word problems. Preservice teachers’ ratings of their own motivation were significantly higher across all types of problems than their judgments of school students’ perspectives. A positive correlation between preservice teachers’ own motivation and their judgments of school students’ motivation indicates the importance of teachers’ perceptions of their own motivation to solve mathematical problems for diagnostic judgments.
Relationships Between Offenders’ Crime Locations and Different Prior Activity Locations as Recorded in Police Data
Authors: Curtis-Ham Sophie , Bernasco Wim , Medvedev Oleg N. , Polaschek Devon L. L. 
Published: August 2022

AbstractUnderstanding the relationships between individual offenders’ crime locations and their prior activity locations is important to enable individual level predictions to support crime prevention and investigation strategies. This study examined a wider range of crimes and activity locations than included in previous studies, to determine whether offenders are more likely to commit crime near some types of activity locations than others. Using discrete spatial choice models, we identified relationships between proximity to pre-crime activity locations recorded in a police database (e.g., offenders’ homes, family members’ homes, schools, prior crimes, and other police interactions) and the locations of 17,054 residential burglaries, 10,353 non-residential burglaries, 1,977 commercial robberies, 4,315 personal robberies, and 4,421 extra-familial sex offences in New Zealand. Offenders were generally more likely to commit crime closer to their activity locations than farther away, and closer to those visited more frequently (e.g., home versus family homes) or more likely to impart relevant knowledge about crime opportunities (e.g., prior crimes versus prior victim or witness locations). The observed patterns for different activity locations and crime types broadly support a recently proposed extension to crime pattern theory and illustrate the benefits of differentiating activity location and crime types when examining criminal spatial behaviour. The results have implications for offender risk assessment and management, and geographic profiling in police investigations.
Identifying optimized conditions for developing dewatered alum sludge-based photocatalyst to immobilize a wide range of dye contamination
Authors: Thabet Rahma H. , Fouad Mai K. , El Sherbiny Shakinaz A. , Tony Maha A. 
Published: August 2022

AbstractIn the current investigation, the removal of Levafix Fast Red CA (LFR) and Levafix Amber CA (LA) azo-dyes from aqueous media using the Fenton/adsorption processes has been carried out. The water treatment by-product, namely alum sludge (AS), was successfully collected and calcined to various temperatures, i.e., 400, 600 and 800 °C, then tested for use as a catalyst in the Fenton/adsorption processes. Fourier transform infrared (FT-IR) transmittance spectrum analysis and Transmission electron microscopy techniques (TEM) were applied to investigate the structural and morphological properties of such a catalyst. The results displayed that the calcined AS at 400 °C (AS400) showed the best photocatalytic activity under ultraviolet illumination and sunlight irradiation. The results indicated that the adsorption/Fenton’s oxidation systems are efficient for treatment and eliminating such types of reactive dyes. The oxidation reaction using Fenton’s reagent reached 99.9 and 86% removal for LFR and LA dyes, respectively. The operating conditions revealed that the reaction was maximized at the operational parameters of 1 g/L and 800 mg/L for AS400 and H2O2 at acidic pH (3.0). The process of single dyes was studied either from thermodynamic and kinetic viewpoints and the data exhibited that the reaction is followed a pseudo-second- order kinetic model and an exothermic reaction nature. The practical application of such byproduct waste used as a photocatalyst source through using natural solar radiation introduces an industrial ecology approach in treating dye effluents for safer environment.
Medical Students and Their Perceptions of Digital Medicine: a Question of Gender?
Authors: Faihs Valentina , Figalist Christina , Bossert Eileen , Weimann Katja , Berberat Pascal O. , Wijnen-Meijer Marjo 
Published: August 2022

AbstractDigital technologies play an essential role in the medical sector of today and the future. In a cross-sectional online survey at a German medical university, male students more frequently reported keeping themselves informed about digital medicine outside of their studies across all clinical years of study. While female students self-assessed their knowledge in different fields of digital medicine as worse than their male peers in the first clinical years of study, no more gender differences could be found towards the final year. However, students of both genders showed a strong desire for further education on the topic of digital medicine.
Examination of micro-superficial lesions of up to 5 mm in size in the pharyngolaryngeal region
Authors: Ueda T , Yumii K , Urabe Y , Chikuie N , Takumida M , Taruya T , Kono T , Hamamoto T , Hattori M , Oka S , Tanaka S , Ishino T , Takeno S 
Published: August 2022

AbstractObjectiveFor low-grade intraepithelial neoplasia cases, pharyngolaryngeal lesions equal to or less than 5 mm in size do not generally progress to invasive carcinoma. However, micro-superficial lesions equal to or less than 5 mm that showed rapid growth have been recently encountered. This study aimed to identify the characteristics of preferential progression of lesions equal to or less than 5 mm in size.MethodGross findings, endoscopic findings and pathological results of 55 lesions measuring equal to or less than 5 mm in diameter were retrospectively reviewed to identify factors that distinguish squamous cell carcinoma or high-grade intraepithelial neoplasia from low-grade intraepithelial neoplasia or non-atypia lesions.ResultsThe overall sensitivity, specificity, accuracy, and positive and negative predictive value of background colouration and intrapapillary capillary loop pattern in differentiation of squamous cell carcinoma or high-grade intraepithelial neoplasia from low-grade intraepithelial neoplasia or non-atypia lesions were all 100 per cent.ConclusionDiagnosis based on background colouration and the intrapapillary capillary loop pattern on narrow-band imaging facilitates the pathological examination of lesions measuring equal to or less than 5 mm.
The Greek death of Sībawayhi and the origins of Arabic grammar
Authors: Fassberg Teddy 
Published: August 2022

AbstractSībawayhi, the founder of the Arabic grammatical tradition, was said to have died in Persia of sorrow after losing to Kufan rivals in a competition in Baghdad. The first part of this article demonstrates the artifice of Sībawayhi's biography, his death tradition in particular, and the stakes involved in its elaboration in early Islamic culture. The second part argues that the tradition of his death was based on the model of Homer's death, which can be shown to have circulated and been creatively adapted in contemporary Syriac historiography. The third part considers the consequences of Sībawayhi's Greek death for the old question of the influence of Greek on early Arabic grammar.
Single-shot compressed optical field topography
Authors: Tang Haocheng , Men Ting , Liu Xianglei , Hu Yaodan , Su Jingqin , Zuo Yanlei , Li Ping , Liang Jinyang , Downer Michael C. , Li Zhengyan 
Published: August 2022

AbstractFemtosecond lasers are powerful in studying matter’s ultrafast dynamics within femtosecond to attosecond time scales. Drawing a three-dimensional (3D) topological map of the optical field of a femtosecond laser pulse including its spatiotemporal amplitude and phase distributions, allows one to predict and understand the underlying physics of light interaction with matter, whose spatially resolved transient dielectric function experiences ultrafast evolution. However, such a task is technically challenging for two reasons: first, one has to capture in single-shot and squeeze the 3D information of an optical field profile into a two-dimensional (2D) detector; second, typical detectors are only sensitive to intensity or amplitude information rather than phase. Here we have demonstrated compressed optical field topography (COFT) drawing a 3D map for an ultrafast optical field in single-shot, by combining the coded aperture snapshot spectral imaging (CASSI) technique with a global 3D phase retrieval procedure. COFT can, in single-shot, fully characterize the spatiotemporal coupling of a femtosecond laser pulse, and live stream the light-speed propagation of an air plasma ionization front, unveiling its potential applications in ultrafast sciences.
A novel circular RNA, circIgfbp2, links neural plasticity and anxiety through targeting mitochondrial dysfunction and oxidative stress-induced synapse dysfunction after traumatic brain injury
Authors: Du Mengran , Wu Chenrui , Yu Renqiang , Cheng Yuqi , Tang Zhaohua , Wu Biying , Fu Jiayuanyuan , Tan Weilin , Zhou Qiang , Zhu Ziyu , Balawi Ehab , Huang Xuekang , Ma Jun , Liao Z. B. 
Published: August 2022

AbstractTraumatic brain injury (TBI) can lead to different neurological and psychiatric disorders. Circular RNAs (circRNAs) are highly expressed in the nervous system and enriched in synapses; yet, the underlying role and mechanisms of circRNAs in neurological impairment and dysfunction are still not fully understood. In this study, we investigated the expression of circRNAs and their relation with neurological dysfunction after TBI. RNA-Seq was used to detect differentially expressed circRNAs in injured brain tissue, revealing that circIgfbp2 was significantly increased. Up-regulated hsa_circ_0058195, which was highly homologous to circIgfbp2, was further confirmed in the cerebral cortex specimens and serum samples of patients after TBI. Moreover, correlation analysis showed a positive correlation between hsa_circ_0058195 levels and the Self-Rating Anxiety Scale scores in these subjects. Furthermore, knockdown of circIgfbp2 in mice relieved anxiety-like behaviors and sleep disturbances induced by TBI. Knockdown of circIgfbp2 in H2O2 treated HT22 cells alleviated mitochondrial dysfunction, while its overexpression reversed the process. Mechanistically, we discovered that circIgfbp2 targets miR-370-3p to regulate BACH1, and down-regulating BACH1 alleviated mitochondrial dysfunction and oxidative stress-induced synapse dysfunction. In conclusion, inhibition of circIgfbp2 alleviated mitochondrial dysfunction and oxidative stress-induced synapse dysfunction after TBI through the miR-370-3p/BACH1/HO-1 axis. Thus, circIgfbp2 might be a novel therapeutic target for anxiety and sleep disorders after TBI.