bluuebunny/crossref_metadata_2025_split huggingface dataset:
Measuring Subjective Wellbeing in a School Context: A Polish Version of the Student Subjective Wellbeing Questionnaire
Authors: Zadworna Magdalena , Kossakowska Karolina , Renshaw Tyler L. 
Published: September 2022

AbstractThe Student Subjective Wellbeing Questionnaire is a measure designed to assess adolescents’ subjective wellbeing at school. The article presents our work toward adapting the SSWQ to the Polish cultural context. The Polish translation of the SSWQ, the KIDSCREEN–27, and the State-Trait Anxiety Inventory for Children (STAIC) were administered to 818 students aged 10–16 years, who were in Grades 5–8 of elementary school. As a result of a language adaptation process, a 16-item questionnaire was created, comprising four subscales, like the original version: School Connectedness, Joy of Learning, Educational Purpose, and Academic Efficacy. Confirmatory factor analysis demonstrated that both the SSWQ-PL first-order measurement model, which consisted of the above four fully correlated factors, and its second-order measurement model, which structured these four first-order factors as indicators of one second-order factor (i.e., student subjective wellbeing), showed good data–model fit and high internal consistency with the present sample. Cronbach’s alpha for the overall score was .87 and H coefficient was .94. The Pearson product-moment correlation coefficient between the total SSWQ-PL scores at two time points was.88 (p < .01), which suggests that the SSWQ-PL is reliable over time. Results showed that the SSWQ-PL had appropriate convergent and divergent validity with scores from the KIDSCREEN-27 and STAIC, which means it can be a useful measure to assess students’ subjective wellbeing in school counseling.
Inklusive Schutzkonzepte in stationären Einrichtungen der Kinder- und Jugendhilfe entwickeln und erproben (SCHUTZINKLUSIV): Das Teilprojekt A Nähe und Distanz
Authors: Böllert Karin , Sawatzki Maik , Demski Jana 
Published: September 2022

ZusammenfassungDas Verbundprojekt „Inklusive Schutzkonzepte in stationären Einrichtungen der Kinder- und Jugendhilfe entwickeln und erproben (SCHUTZINKLUSIV)“ der WWU Münster, des DJI, des SOS Kinderdorf e. V. und des SOCLES versucht in einer wechselseitigen Kooperation von Wissenschaft und Praxis, inklusive Schutzkonzepte im Kontext einer inklusiven Kinder- und Jugendhilfe zu entwickeln und nachhaltig zu erproben. Das Teilprojekt ANähe und Distanzder WWU Münster wird methodologisch und erkenntnistheoretisch insofern exemplarisch skizziert, als dieses den empirischen Ausgangspunkt des Projektes mit Blick auf die besonderen (Schutz‑)Bedarfe von Kinder und Jugendlichen in inklusiv-stationären Einrichtungen der Jugendhilfe (u. a. bezogen auf Nähe-Distanz-Regulation) markiert und eine passgenaue und partizipative Weiterentwicklung inklusiver Schutzkonzepte im Rahmen einer Potenzial- und Risikoanalyse ermöglicht.
Monte Carlo simulation of SDEs using GANs
Authors: van Rhijn Jorino , Oosterlee Cornelis W. , Grzelak Lech A. , Liu Shuaiqiang 
Published: September 2022

AbstractGenerative adversarial networks (GANs) have shown promising results when applied on partial differential equations and financial time series generation. We investigate if GANs can also be used to approximate one-dimensional It$$\hat{\text {o}}$$

o
^

stochastic differential equations (SDEs). We propose a scheme that approximates the path-wise conditional distribution of SDEs for large time steps. Standard GANs are only able to approximate processes in distribution, yielding a weak approximation to the SDE. A conditional GAN architecture is proposed that enables strong approximation. We inform the discriminator of this GAN with the map between the prior input to the generator and the corresponding output samples, i.e. we introduce a ‘supervised GAN’. We compare the input-output map obtained with the standard GAN and supervised GAN and show experimentally that the standard GAN may fail to provide a path-wise approximation. The GAN is trained on a dataset obtained with exact simulation. The architecture was tested on geometric Brownian motion (GBM) and the Cox–Ingersoll–Ross (CIR) process. The supervised GAN outperformed the Euler and Milstein schemes in strong error on a discretisation with large time steps. It also outperformed the standard conditional GAN when approximating the conditional distribution. We also demonstrate how standard GANs may give rise to non-parsimonious input-output maps that are sensitive to perturbations, which motivates the need for constraints and regularisation on GAN generators.
Deformations of vector bundles over Lie groupoids
Authors: La Pastina Pier Paolo , Vitagliano Luca 
Published: September 2022

AbstractVB-groupoids are vector bundles in the category of Lie groupoids. They encompass several classical objects, including Lie group representations and 2-vector spaces. Moreover, they provide geometric pictures for 2-term representations up to homotopy of Lie groupoids. We attach to every VB-groupoid a cochain complex controlling its deformations and discuss its fundamental features, such as Morita invariance and a van Est theorem. Several examples and applications are given.
Disaster Impacts Surveillance from Social Media with Topic Modeling and Feature Extraction: Case of Hurricane Harvey
Authors: Mihunov Volodymyr V. , Jafari Navid H. , Wang Kejin , Lam Nina S. N. , Govender Dylan 
Published: September 2022

AbstractTwitter can supply useful information on infrastructure impacts to the emergency managers during major disasters, but it is time consuming to filter through many irrelevant tweets. Previous studies have identified the types of messages that can be found on social media during disasters, but few solutions have been proposed to efficiently extract useful ones. We present a framework that can be applied in a timely manner to provide disaster impact information sourced from social media. The framework is tested on a well-studied and data-rich case of Hurricane Harvey. The procedures consist of filtering the raw Twitter data based on keywords, location, and tweet attributes, and then applying the latent Dirichlet allocation (LDA) to separate the tweets from the disaster affected area into categories (topics) useful to emergency managers. The LDA revealed that out of 24 topics found in the data, nine were directly related to disaster impacts—for example, outages, closures, flooded roads, and damaged infrastructure. Features such as frequent hashtags, mentions, URLs, and useful images were then extracted and analyzed. The relevant tweets, along with useful images, were correlated at the county level with flood depth, distributed disaster aid (damage), and population density. Significant correlations were found between the nine relevant topics and population density but not flood depth and damage, suggesting that more research into the suitability of social media data for disaster impacts modeling is needed. The results from this study provide baseline information for such efforts in the future.
‘Eating A Country’: The Dynamics of State-Society Encounters in Qellem, Western Ethiopia, 1908–33
Authors: Dinka Etana H. 
Published: September 2022

AbstractThis article examines state-society encounters in imperial Ethiopia through histories of exploitation and compromise. Focusing on the western province of Qellem, the article investigates Ethiopia's engagement with local rights claims over time, illustrating how the state was imagined, negotiated, and partially legitimated. The inherent incoherence within imperial state structures is traced back to the survival of nodes of indigenous power within territories conquered in the late nineteenth century. Peasant representatives, local elites, and Amhara governors and soldier-colonists engaged with the state to turn it to their benefit, or limit its excesses. Episodes of rebellion, withdrawal, and court arbitration punctuated a cycle of negotiation within which the role of the intermediary was key. Qellem experienced a state-making exercise that was contemporaneous with, and comparable to, the formation of European colonial states elsewhere on the continent. As such, this article provides a radical challenge to dominant historiographical perspectives on imperial Ethiopia.
‘Grande Herói da Banda’: The Political Uses of the Memory of Hoji ya Henda in Angola
Authors: Martins Vasco 
Published: September 2022

AbstractThe article explores the political uses of the memory of the Popular Movement for the Liberation of Angola's (MPLA's) heroic combatant Hoji ya Henda from the independence of Angola in 1975 to recent times. Based on extensive archival work in Luanda, the article maps the historical periods and circumstances during which the ruling regime invoked Henda's memory, noting how changes in the political system directly affected how his memory permeated the public domain, oscillating between presence, silence, replacement, and resurgence. In doing so, the article explores a dilemma in the study of memory, opposing historical continuity and active construction in memory-making. It concludes that even when subjected to political manipulation for several decades, the original memorialisation of national heroes such as Hoji ya Henda, although subject to historical circumstance, always retains its original mnemonic signifier in society. This signals an important nuance in entrenched debates concerning the opposition between history and the political construction of memory.
HIGH ORDER EXPLICIT SECOND DERIVATIVE METHODS WITH STRONG STABILITY PROPERTIES BASED ON TAYLOR SERIES CONDITIONS
Authors: MORADI A. , ABDI A. , HOJJATI G. 
Published: September 2022

AbstractWhen faced with the task of solving hyperbolic partial differential equations (PDEs), high order, strong stability-preserving (SSP) time integration methods are often needed to ensure preservation of the nonlinear strong stability properties of spatial discretizations. Among such methods, SSP second derivative time-stepping schemes have been recently introduced and used for evolving hyperbolic PDEs. In previous works, coupling of forward Euler and a second derivative formulation led to sufficient conditions for a second derivative general linear method (SGLM), which preserve the strong stability properties of spatial discretizations. However, for such methods, the types of spatial discretizations that can be used are limited. In this paper, we use a formulation based on forward Euler and Taylor series conditions to extend the SSP SGLM framework. We investigate the construction of SSP second derivative diagonally implicit multistage integration methods (SDIMSIMs) as a subclass of SGLMs with order
$p=r=s$
and stage order
$q=p,p-1$
up to order eight, where r is the number of external stages and s is the number of internal stages of the method. Proposed methods are examined on some one-dimensional linear and nonlinear systems to verify their theoretical order, and show potential of these schemes in preserving some nonlinear stability properties such as positivity and total variation.
Wechsler Intelligence Scale for Adults – Fourth Edition profiles of adults with autism spectrum disorder
Authors: Cicinelli G. , Nobile E. , Brighenti S. , Bari S. , Tonella E. , Aresi A. , Attanasio M. , Mazza M. , Valenti M. , Keller R. 
Published: September 2022

Abstract

Aim
In this study, we have compared 229 Wechsler Adults Intelligence Scale – Fourth Edition (WAIS-IV) cognitive profiles of different severity adults with autism spectrum disorder to verify the impact of several variables including sex, age, level of education and autism severity level in an Italian sample. Moreover, we wanted to find out the optimal cut points for the major intelligence quotients in order to discriminate autism severity levels.

Methods
Participants were recruited from two National Health System Center in two different Italian regions and were assessed with gold-standard instruments as a part of their clinical evaluation. According to DSM-5, cognitive domains were also measured with multi-componential tests. We used the Italian adaptation of WAIS-IV. We checked our hypotheses using linear regression models and receiver operating characteristics (ROC) curves.

Results
Our results showed that age and level of education have a strong impact on Verbal Comprehension (VCI) and Working Memory Indexes (WMI). Gender differences are relevant when considering the VCI and Processing Speed index (PSI) in which women obtained the best performance. These differences are still relevant when considering cut points of ROC because 69 resulted to be the optimal cut point for women, 65 for men.

Conclusions
Few conclusions can be assumed only examining Full Scale Intelligence Quotient (FSIQ) scores as it includes many different information about broader cognitive abilities. Looking deeper at main indexes and their subtests findings are consistent with previous research on the disorder (moderate correlations of FSIQ, Perceptual Reasoning index, WMI and PSI with the participants’ age), while other results are unforeseen (no effect of sex found on FSIQ score) or novel (significant effect of education on VCI and WMI). Using an algorithm predicting optimal cut point for discriminating through autism severity levels can help clinicians to better label and quantify the required help a person may need, a test cannot replace diagnostic and clinical evaluation by experienced clinicians.
Estimating the Average River Cross‐Section Velocity by Observing Only One Surface Velocity Value and Calibrating the Entropic Parameter
Authors: Bahmanpouri Farhad , Eltner Anette , Barbetta Silvia , Bertalan László , Moramarco Tommaso 
Published: September 2022

AbstractThe current research aims to predict the velocity distribution and discharge rates in rivers based on the entropy concept using only one surface velocity measurement. In this direction, first, the uncrewed aerial vehicle (UAV)‐based image acquisition technique was applied to collect the surface velocity distribution along two European rivers, the Sajó, and the Freiberger Mulde Rivers. Seven cross sections were chosen for the analysis. At each cross section, first, the entropic parameter Φ(M) was calibrated based on the maximum and mean velocity magnitudes, derived from Acoustic Doppler Current Profilers, respectively, showing a trend for all cross sections with a range of 0.6 < Φ(M) < 0.75. Next, the maximum surface velocity provided by the UAV was implemented as a single velocity input. Finally, the bathymetry data, herein collected by UAV, were considered as the input for the entropy approach. In this way, the entropy iterative method allowed estimating the mean flow velocity by identifying the location (dip) of maximum velocities across the river site and inferring the 2D velocity distribution. The results highlighted that the entropy approach can accurately predict the velocity distribution and discharge rates with a percentage error lower than 13%.
Semi‐Empirical Error Ellipsoid Clustering for Identifying the Second‐Order Structural Features From a Laboratory AE Source Location Cloud: Method, Validation, and Application to a Hydraulic Fracturing Test
Authors: Xiong Qiquan , Hampton Jesse C. 
Published: September 2022

AbstractPoint cloud of sources in the form of acoustic emission (AE) or seismicity at both field‐ and laboratory‐scales are indicative of causative structures. The error ellipsoid clustering (EC) method, whose underlying premise is reducing the amount of discarded data, is helpful for seeking the causative structure(s) from field‐scale seismic sources. However, a proper EC method does not exist for laboratory sources. Interpretation of laboratory AE sources usually involves systematic discarding of the assumed “low‐quality” data. We seek the successful transfer of the field‐scale EC method into the investigation of laboratory‐scale sources. For that, a new semi‐empirical EC method (serendipity method) is devised, and we have systematically modified the previous EC method (standard method) in (1) error ellipsoid formation, (2) iterative clustering algorithm, and (3) clustering stopping criterion. In the literature, the standard method and its limitations were validated using synthetic data. We validate the modifications by comparing its post‐clustering results with the original source locations and with the in‐situ and post‐mortem inspections of the laboratory rock fractures; and similarly for the serendipity method. We apply the serendipity method to a laboratory hydraulic fracturing test. The serendipity method implies the existence of a 3D damage zone as the second‐order feature caused by the hydraulic fracturing in addition to the primary hydraulic fracture. This complex damage zone provides a logical explanation to the previously observed reverse permeability‐distance relationship for hydraulic fracture.
Working memory and reaction time variability mediate the relationship between polygenic risk and ADHD traits in a general population sample
Authors: Moses Mia , Tiego Jeggan , Demontis Ditte , Bragi Walters G. , Stefansson Hreinn , Stefansson Kari , Børglum Anders D. , Arnatkeviciute Aurina , Bellgrove Mark A. 
Published: September 2022

AbstractEndophenotypes are heritable and quantifiable traits indexing genetic liability for a disorder. Here, we examined three potential endophenotypes, working memory function, response inhibition, and reaction time variability, for attention-deficit hyperactivity disorder (ADHD) measured as a dimensional latent trait in a large general population sample derived from the Adolescent Brain Cognitive DevelopmentSMStudy. The genetic risk for ADHD was estimated using polygenic risk scores (PRS) whereas ADHD traits were quantified as a dimensional continuum using Bartlett factor score estimates, derived from Attention Problems items from the Child Behaviour Checklist and Effortful Control items from the Early Adolescent Temperament Questionnaire-Revised. The three candidate cognitive endophenotypes were quantified using task-based performance measures. Higher ADHD PRSs were associated with higher ADHD traits, as well as poorer working memory performance and increased reaction time variability. Lower working memory performance, poorer response inhibition, and increased reaction time variability were associated with more pronounced ADHD traits. Working memory and reaction time variability partially statistically mediated the relationship between ADHD PRS and ADHD traits, explaining 14% and 16% of the association, respectively. The mediation effect was specific to the genetic risk for ADHD and did not generalise to genetic risk for four other major psychiatric disorders. Together, these findings provide robust evidence from a large general population sample that working memory and reaction time variability can be considered endophenotypes for ADHD that mediate the relationship between ADHD PRS and ADHD traits.
Feasibility and safety of a novel 3D-printed biodegradable biliary stent in an in vivo porcine model: a preliminary study
Authors: Kim Jae Hyun , Ha Dong-Heon , Han Eui Soo , Choi YoungRok , Koh Jiwon , Joo Ijin , Kim Jung Hoon , Cho Dong-Woo , Han Joon Koo 
Published: September 2022

AbstractTo assess the feasibility and safety of a novel 3D-printed biodegradable biliary stent using polycaprolactone (PCL) in an in vivo porcine model. In this animal study using domestic pigs, biodegradable radiopaque biliary stents made of polycaprolactone (PCL) and barium sulfate were produced using 3D printing and surgically inserted into the common bile duct (CBD) of pigs (stent group, n = 12). Another five pigs were allocated to the control group that only underwent resection and anastomosis of the CBD without stent insertion. To check the position and status of the stents and stent-related complications, follow-up computed tomography (CT) was performed every month. The pigs were sacrificed 1 or 3 months after surgery, and their excised CBD specimens were examined at both the macroscopic and microscopic levels. Three pigs (one in the stent group and two in the control group) died within one day after surgery and were excluded from further analysis; the remaining 11 in the stent group and 3 in the control group survived the scheduled follow-up period (1 month, 5 and 1; and 3 months, 6 and 2 in stent and control groups, respectively). In all pigs, no clinical symptoms or radiologic evidence of biliary complications was observed. In the stent group (n = 11), stent migration (n = 1 at 3 months; n = 2 at 1 month) and stent fracture (n = 3 at 2 months) were detected on CT scans. Macroscopic evaluation of the stent indicated no significant change at 1 month (n = 3) or fragmentation with discoloration at 3 months (n = 5). On microscopic examination of CBD specimens, the tissue inflammation score was significantly higher in the stent group than in the control group (mean ± standard deviation (SD), 5.63 ± 2.07 vs. 2.00 ± 1.73; P = 0.039) and thickness of fibrosis of the CBD wall was significantly higher than that of the control group (0.46 ± 0.12 mm vs. 0.21 ± 0.05 mm; P = 0.012). Despite mild bile duct inflammation and fibrosis, 3D-printed biodegradable biliary stents showed good feasibility and safety in porcine bile ducts, suggesting their potential for use in the prevention of postoperative biliary strictures.
Revealing the order parameter dynamics of 1T-TiSe$$_2$$ following optical excitation
Authors: Huber Maximilian , Lin Yi , Dale Nicholas , Sailus Renee , Tongay Sefaattin , Kaindl Robert A. , Lanzara Alessandra 
Published: September 2022

AbstractThe formation of a charge density wave state is characterized by an order parameter. The way it is established provides unique information on both the role that correlation plays in driving the charge density wave formation and the mechanism behind its formation. Here we use time and angle resolved photoelectron spectroscopy to optically perturb the charge-density phase in 1T-TiSe$$_2$$

2

and follow the recovery of its order parameter as a function of energy, momentum and excitation density. Our results reveal that two distinct orders contribute to the gap formation, a CDW order and pseudogap-like order, manifested by an overall robustness to optical excitation. A detailed analysis of the magnitude of the the gap as a function of excitation density and delay time reveals the excitonic long-range nature of the CDW gap and the short-range Jahn–Teller character of the pseudogap order. In contrast to the gap, the intensity of the folded Se$$_{4p}$$

4
p

* band can only give access to the excitonic order. These results provide new information into the the long standing debate on the origin of the gap in TiSe$$_2$$

2

and place it in the same context of other quantum materials where a pseudogap phase appears to be a precursor of long-range order.