bluuebunny/crossref_metadata_2025_split huggingface dataset:
Positioning of epidural electrode for motor cortex stimulation in general anesthesia based on intraoperative electrophysiological monitoring to treat refractory trigeminal neuropathic pain
Authors: Malinova Vesna , Abboud Tammam , Rohde Veit , Mielke Dorothee 
Published: September 2023

Abstract
Background
Motor cortex stimulation (MCS) represents a treatment option for refractory trigeminal neuralgia (TGN). Usually, patients need to be awake during surgery to confirm a correct position of the epidural electrode above the motor cortex, reducing patient’s comfort.

Method
Epidural cortical mapping (ECM) and motor evoked potentials (MEPs) were intraoperatively performed for correct localization of motor cortex under general anesthesia that provided comparable results to test stimulation after letting the patient to be awake during the operation.

Conclusion
Intraoperative ECM and MEPs facilitate a confirmation of correct MCS-electrode position above the motor cortex allowing the MCS-procedure to be performed under general anesthesia.
Longitudinal relations between teacher self-efficacy and student motivation through matching characteristics of perceived teaching practice
Authors: Hettinger Katharina , Lazarides Rebecca , Schiefele Ulrich 
Published: September 2023

AbstractTheoretically, teacher self-efficacy relates to student outcomes through teaching behavior. However, underlying pathways through which specific teacher self-efficacy facets longitudinally relate to student motivation and emotion in classrooms remain unclear. This study aims to overcome this research gap by investigating whether student- and teacher-reported classroom discipline and social relatedness explain the longitudinal relations between teacher self-efficacy for classroom management and for emotional support and student self-efficacy and enjoyment. Multilevel analyses were carried out with data from 959 students and their 50 teachers. Results revealed that teacher self-efficacy for classroom management at the beginning of Grade 9 (T1) related indirectly to student enjoyment in the middle of Grade 10 (T3) through student-perceived class-level discipline at the beginning of Grade 10 (T2). Teachers’ self-efficacy for emotional support (T1) related positively to teacher- and student-reported social relatedness (T2); the latter related to student enjoyment (T3). Implications for future teacher motivation research are discussed.
Improved compact growth habit of Viola × wittrockiana through Rhizobium rhizogenes transformation
Authors: Desmet Siel , De Keyser Ellen , Leus Leen , Van Huylenbroeck Johan , Geelen Danny , Dhooghe Emmy 
Published: September 2023

AbstractCompactness is an important breeding goal in the improvement of garden pansy varieties (Viola × wittrockiana Gams.). The desired compact stature is primarily obtained through the use of chemical growth retardants. Recently, an alternative strategy for creating compact ornamentals was proposed based on transformation by wild type rhizogenic agrobacteria and the regeneration of transformed hairy roots. Here, we report on the successful transformation and creation of compact garden pansy lines. The most efficient hairy root induction was obtained by Rhizobium rhizogenes strain ATCC15834. Shoot regeneration from hairy roots was obtained using 3 mg L−1 2iP and 0.3 mg L−1 2,4-D. The presence of R. rhizogenes T-DNA genes was confirmed in the regenerated lines. These lines displayed a varying degrees of dwarfed growth. Most notably the shoot length was reduced up to 49%. Other phenotypic traits that were induced include reduced peduncle length and smaller, wrinkled flowers. Several of these Ri lines with promising compactness have been selected for further breeding towards compact garden pansy varieties that are less dependent on chemical growth regulation.
Graphical abstract
Emergency department pathology order support tool (ED POST): a protocol using qualitative inquiry to inform design and development of a prototype to reduce low value care
Authors: Thomas Judith , Li Julie , Scowen Craig , Eigenstetter Alex , Georgiou Andrew 
Published: September 2023

AbstractLaboratory tests have an important role in informing diagnosis and aiding in the determination of appropriate courses of management and/or treatment in the Emergency Department setting. Over-ordering of laboratory tests can lead to increased costs and/or unnecessary patient procedures, whilst under-ordering can lead to patient safety concerns and/or diagnostic error. Reducing over/under ordering through appropriate use of pathology has the potential to improve patient safety and/or reduce healthcare costs. As a dynamic electronic decision support tool, the Emergency Department Pathology Order Support Tool (ED POST) aims to facilitate effective ordering of pathology tests. This protocol details the methodological approach to be undertaken during the design and development of ED POST, commencing from the outset of the initial development of a prototype design. The research will undertake qualitative methods (interviews, focus group, and think-aloud observations) to develop business process models through collaboration with Emergency Department clinicians. The pre-development research will constitute stage 1 of the approach, with stage 2 focussed on evaluating the utility, usability and business process impact of the prototype to refine the prototype’s design. The collaborative and qualitative multi-method approach aims to elucidate an in-depth understanding of existing laboratory test ordering and decision-making processes in the Emergency Department, serving to inform the development of a relevant and practicable solution. Health researchers and digital health developers can draw on this approach to inform research planning activities for health information technology intervention design projects and can follow the developmental journey of ED POST as its outcomes are reported in the literature.
An improved deep learning-based optimal object detection system from images
Authors: Yadav Satya Prakash , Jindal Muskan , Rani Preeti , de Albuquerque Victor Hugo C. , dos Santos Nascimento Caio , Kumar Manoj 
Published: September 2023

AbstractComputer vision technology for detecting objects in a complex environment often includes other key technologies, including pattern recognition, artificial intelligence, and digital image processing. It has been shown that Fast Convolutional Neural Networks (CNNs) with You Only Look Once (YOLO) is optimal for differentiating similar objects, constant motion, and low image quality. The proposed study aims to resolve these issues by implementing three different object detection algorithms—You Only Look Once (YOLO), Single Stage Detector (SSD), and Faster Region-Based Convolutional Neural Networks (R-CNN). This paper compares three different deep-learning object detection methods to find the best possible combination of feature and accuracy. The R-CNN object detection techniques are performed better than single-stage detectors like Yolo (You Only Look Once) and Single Shot Detector (SSD) in term of accuracy, recall, precision and loss.
Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis
Authors: Zhang Kai , Li Yawei , Liang Jingyun , Cao Jiezhang , Zhang Yulun , Tang Hao , Fan Deng-Ping , Timofte Radu , Gool Luc Van 
Published: September 2023

AbstractWhile recent years have witnessed a dramatic upsurge of exploiting deep neural networks toward solving image denoising, existing methods mostly rely on simple noise assumptions, such as additive white Gaussian noise (AWGN), JPEG compression noise and camera sensor noise, and a general-purpose blind denoising method for real images remains unsolved. In this paper, we attempt to solve this problem from the perspective of network architecture design and training data synthesis. Specifically, for the network architecture design, we propose a swin-conv block to incorporate the local modeling ability of residual convolutional layer and non-local modeling ability of swin transformer block, and then plug it as the main building block into the widely-used image-to-image translation UNet architecture. For the training data synthesis, we design a practical noise degradation model which takes into consideration different kinds of noise (including Gaussian, Poisson, speckle, JPEG compression, and processed camera sensor noises) and resizing, and also involves a random shuffle strategy and a double degradation strategy. Extensive experiments on AGWN removal and real image denoising demonstrate that the new network architecture design achieves state-of-the-art performance and the new degradation model can help to significantly improve the practicability. We believe our work can provide useful insights into current denoising research. The source code is available at https://github.com/cszn/SCUNet.
Experimental assessment of SDR-based 5G positioning: methodologies and insights
Authors: Palamà Ivan , Bartoletti Stefania , Bianchi Giuseppe , Blefari Melazzi Nicola 
Published: September 2023

AbstractWhile GPS has traditionally been the primary positioning technology, 3GPP has more recently begun to include positioning services as native, built-in features of future-generation cellular networks. With Release 16 of the 3GPP, finalized in 2021, a significant standardization effort has taken place for positioning in 5G networks, especially in terms of physical layer signals, measurements, schemes, and architecture to meet the requirements of a wide range of regulatory, commercial and industrial use cases. However, experimentally driven research aiming to assess the real-world performance of 5G positioning is still lagging behind, root causes being (i) the slow integration of positioning technologies in open-source 5G frameworks, (ii) the complexity in setting up and properly configuring a 5G positioning testbed, and (iii) the cost of a multi-BS deployment. This paper sheds some light on all such aspects. After a brief overview of state of the art in 5G positioning and its support in open-source platforms based on software-defined radios (SDRs), we provide advice on how to set up positioning testbeds, and we demonstrate, via a set of real-world measurements, how to assess aspects such as reference signal configurations, localization algorithms, and network deployments. Our contribution further includes an assessment of the efficacy of utilizing measurements obtained from a single-link limited-size testbed to forecast localization performance in more elaborate (and hence more expensive) multi-node network settings. We posit that our methodological insights can assist in lowering the entry cost barriers associated with conducting 5G positioning experiments and, consequently, promote additional experimental research in this domain.
Potentials of a friction-induced recycling process to improve resource and energy efficiency in manufacturing technology
Authors: Borgert T. , Milaege D. , Schweizer S. , Homberg W. , Schaper M. , Tröster T. 
Published: September 2023

AbstractEfforts to enhance sustainability in all areas of life are increasing worldwide. In the field of manufacturing technology, a wide variety of approaches are being used to improve both resource and energy efficiency. Efficiency as well as sustainability can be improved by creating a circular economy or through energy-efficient recycling processes. As part of the interdisciplinary research group "Light—Efficient—Mobile" investigations on the energy-efficient friction-induced recycling process have been carried out at the department of Forming and Machining Technology at Paderborn University. E.g. using the friction-induced recycling process, different formless solid aluminum materials can be direct recycled into semi-finished products in an energy-efficient manner. The results of investigations with regard to the influence of the geometrical shape and filling rate of the aluminum particles to be recycled as well as the rotational speed of the continuously rotating wheel are explained in this paper. In addition to the recycling of aluminum chips, aluminum particles like powders from the field of additive manufacturing are processed. Based on these results, the future potentials of solid-state recycling processes and their contribution to the circular economy are discussed. The main focus here is on future interdisciplinary research projects to achieve circularity in the manufacturing of user-individual semi-finished products as well as the possibility to selectively adjust the product properties with the continuous recycling process.
The differential impact by gender of the Covid-19 pandemic on the labor outcomes of older adults
Authors: Depalo Domenico , Pereda-Fernández Santiago 
Published: September 2023

AbstractWe study the effect of the COVID-19 pandemic during the first semester of 2020 on the labor market outcomes of elderly workers, using data from the Survey of Health, Ageing and Retirement in Europe. We measure the gender gap in the conditional mean of the probability of experiencing a job interruption, of changing the number of hours worked, and of working from home. We control for a rich set of observable characteristics, including several measures of cognitive and non-cognitive ability. We apply decomposition methods to distinguish, on the one hand, the part of the gap that is due to gender differences in the endowments of the determinants of the outcome in question and, on the other, to gender differences in the effects of these determinants. We find that there is no gender gap in the probability of experiencing a job interruption nor in the probability of working fewer hours than before the pandemic. In contrast, there were significant differences in the probability of increasing the amount of worked hours or working remotely, which were larger for females in both cases. For the latter variable, the difference is largely attributable to different endowments between men and women. However, the gap in the probability of working longer hours is mostly attributable to the coefficients component.
Introspection Dynamics in Asymmetric Multiplayer Games
Authors: Couto Marta C. , Pal Saptarshi 
Published: September 2023

AbstractEvolutionary game theory and models of learning provide powerful frameworks to describe strategic decision-making in social interactions. In the simplest case, these models describe games among two identical players. However, many interactions in everyday life are more complex. They involve more than two players who may differ in their available actions and in their incentives to choose each action. Such interactions can be captured by asymmetric multiplayer games. Recently, introspection dynamics has been introduced to explore such asymmetric games. According to this dynamics, at each time step players compare their current strategy to an alternative strategy. If the alternative strategy results in a payoff advantage, it is more likely adopted. This model provides a simple way to compute the players’ long-run probability of adopting each of their strategies. In this paper, we extend some of the previous results of introspection dynamics for 2-player asymmetric games to games with arbitrarily many players. First, we derive a formula that allows us to numerically compute the stationary distribution of introspection dynamics for any multiplayer asymmetric game. Second, we obtain explicit expressions of the stationary distribution for two special cases. These cases are additive games (where the payoff difference that a player gains by unilaterally switching to a different action is independent of the actions of their co-players), and symmetric multiplayer games with two strategies. To illustrate our results, we revisit several classical games such as the public goods game.
Governing Risk Through Forced Confinement: Clawback of Pre-Pandemic Reforms
Authors: Evans Jessica , Mussell Linda 
Published: September 2023

AbstractWe examine the use of forced confinement and isolation to limit the spread of COVID-19 in Ontario prisons and jails. Drawing on interview data, we illustrate how a reliance on forced confinement and isolation has exacerbated harms experienced by prisoners in relation to physical, mental, and social health. Through discourse analysis of grey literature, we then discuss the politics and governance of carceral institutions during the pandemic, focusing on how practices of isolation were legitimized during the pandemic, despite recent rulings establishing isolation and segregation as torture. We close by arguing that the case of isolation during the pandemic is one example which highlights the systemic and ongoing nature of rights violations in Canadian prisons and jails. To address these harms, we must shift focus away from reform and towards decarceration.
Misleading Higher-Order Evidence and Rationality: We Can't Always Rationally Believe What We Have Evidence to Believe
Authors: Munroe Wade 
Published: September 2023

Abstract
Evidentialism as an account of theoretical rationality is a popular and well-defended position. However, recently, it's been argued that misleading higher-order evidence (HOE) – that is, evidence about one's evidence or about one's cognitive functioning – poses a problem for evidentialism. Roughly, the problem is that, in certain cases of misleading HOE, it appears evidentialism entails that it is rational to adopt a belief in an akratic conjunction – a proposition of the form “p, but my evidence doesn't support p” – despite it being the case that believing an akratic conjunction appears to be clearly irrational. In this paper, I diffuse the problem for evidentialism using the distinction between propositional and doxastic rationality. I argue that, although it can be propositionally rational to believe an akratic conjunction (according to evidentialism), one cannot inferentially base an akratic belief in one's evidence, and, thus, one cannot doxastically rationally possess an akratic belief. In addition, I address the worry that my solution to the puzzle commits evidentialists to the possibility of epistemic circumstances in which a proposition, p, is propositionally rational to believe (namely, an akratic conjunction), yet one cannot, in principle, (doxastically) rationally believe p. As I demonstrate, cases of misleading HOE are not the only types of cases that force evidentialists to accept that propositional rationality does not entail the possibility of doxastic rationality. There are no new problems raised by misleading HOE that weren't already present in cases involving purely first-order evidence.
Digital interventions for common mental disorders in low- and middle-income countries: A systematic review and meta-analysis
Authors: Karyotaki Eirini , Miguel Clara , Panagiotopoulou Olga M. , Harrer Mathias , Seward Nadine , Sijbrandij Marit , Araya Ricardo , Patel Vikram , Cuijpers Pim 
Published: September 2023

Abstract

Background
In low-resource settings, e-mental health may substantially increase access to evidence-based interventions for common mental disorders. We conducted a systematic literature search to identify randomised trials examining the effects of digital interventions with or without therapeutic guidance compared to control conditions in individuals with anxiety and/or depression symptoms in low- and middle-income countries (LMICs).

Methods
The main outcome was the reduction in symptoms at the post-test. Secondary outcomes included improvements in quality of life and longer-term effects (≥20 weeks post-randomisation). The effect size Hedges’ g was calculated using the random effects model.

Results
A total of 21 studies (23 comparisons) with 5.296 participants were included. Digital interventions were more effective than controls in reducing symptoms of common mental disorders at the post-test (g = −0.89, 95% confidence interval [CI] −1.26 to −0.52, p < 0.001; NNT = 2.91). These significant effects were confirmed when examining depressive (g = −0.77, 95% CI −1.11; −0.44) and anxiety symptoms separately (g = −1.02, 95% CI −1.53 to −0.52) and across all other sensitivity analyses. Digital interventions also resulted in a small but significant effect in improving quality of life (g = 0.32, 95% CI 0.19 to 0.45) at the post-test. Over the longer term, the effects were smaller but remained significant for all examined outcomes. Heterogeneity was moderate to high in all analyses. Subgroup and meta-regression analyses did not result in significant outcomes in any of the examined variables (e.g., guided vs. unguided interventions).

Conclusions
Digital interventions, with or without guidance, may effectively bridge the gap between treatment supply and demand in LMICs. Nevertheless, more studies are needed to draw firm conclusions regarding the magnitude of the effects of digital interventions.
Secessionism as the Mainstream: Regionalist Parties’ Strategies in the Catalan and Scottish 2021 Regional Elections
Authors: Tarasov Andrei , Belous Yulia 
Published: September 2023

AbstractThe COVID-19 pandemic was a critical event that has challenged regionalist-secessionist parties to maintain their dominance at the regional level, because it has questioned the attractiveness of the idea of independence for the electorate. Nevertheless, the results of the regional elections 2021 in Catalonia and Scotland brought about the success of regionalist parties with secessionist demands. This study analyzes regionalist parties’ strategies in the 2021 regional elections in Catalonia and Scotland, advancing our understanding of their strategic choices to get/remain in office. This study employed the Regional Manifesto project methodological approach to perform a manual content analysis of party positioning and selective emphasis. Additionally, it advances the distinction between blurring and subsuming strategies through a frame analysis of electoral campaigns. The results suggest that regionalist parties mainly use subsuming and two-dimensional strategies to gain electoral success and that the exact strategic choices depend on the structure of the competition. The research confirms the framing of territorial demands primarily in socioeconomic rather than political terms, as proposed by the FraTerr Project. However, regionalist parties have avoided radicalizing their social demands owing to the influence of the COVID-19 pandemic.
THE UK INTERNAL MARKET: A GLOBAL OUTLIER?
Authors: Zglinski Jan 
Published: September 2023

AbstractThe new UK internal market, as embodied in the UK Internal Market Act 2020 and the common frameworks, is the latest example of market integration, but it is far from being the only one. A myriad of composite market structures exists across the world, including in Australia, Canada, Germany, Spain, Switzerland, the US and the EU. This article investigates how the UK internal market compares to other internal markets: to what extent does it follow pre-existing paths, to what extent does it depart from them? It is argued that the UK has diverged from international blueprints in several important aspects. Despite drawing on methods that are frequently employed for achieving economic integration, it reinterprets and combines these in a unique way. The result is an internal market which is defined by an unusual degree of centralisation, strong trade rights and a high potential for deregulation.