bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interleukin-6 as a prognostic biomarker of clinical outcomes after traumatic brain injury: a systematic review
Authors: Ooi Setthasorn Zhi Yang , Spencer Robert James , Hodgson Megan , Mehta Samay , Phillips Nicholas Lloyd , Preest Gwilym , Manivannan Susruta , Wise Matt P , Galea James , Zaben Malik 
Published: July 2022

AbstractTraumatic brain injury (TBI) is a major cause of mortality and morbidity worldwide. There are currently no early biomarkers for prognosis in routine clinical use. Interleukin-6 (IL-6) is a potential biomarker in the context of the established role of neuroinflammation in TBI recovery. Therefore, a systematic review of the literature was performed to assess and summarise the evidence for IL-6 secretion representing a useful biomarker for clinical outcomes. A multi-database literature search between January 1946 and July 2021 was performed. Studies were included if they reported adult TBI patients with IL-6 concentration in serum, cerebrospinal fluid (CSF) and/or brain parenchyma analysed with respect to functional outcome and/or mortality. A synthesis without meta-analysis is reported. Fifteen studies were included, reporting 699 patients. Most patients were male (71.7%), and the pooled mean age was 40.8 years; 78.1% sustained severe TBI. Eleven studies reported IL-6 levels in serum, six in CSF and one in the parenchyma. Five studies on serum demonstrated higher IL-6 concentrations were associated with poorer outcomes, and five showed no signification association. In CSF studies, one found higher IL-6 levels were associated with poorer outcomes, one found them to predict better outcomes and three found no association. Greater parenchymal IL-6 was associated with better outcomes. Despite some inconsistency in findings, it appears that exaggerated IL-6 secretion predicts poor outcomes after TBI. Future efforts require standardisation of IL-6 measurement practices as well as assessment of the importance of IL-6 concentration dynamics with respect to clinical outcomes, ideally within large prospective studies. Prospero registration number: CRD42021271200
Regeneration of periodontal bone defects with mesenchymal stem cells in animal models. Systematic review and meta-analysis
Authors: Chauca-Bajaña Luis , Velasquez-Ron Byron , Tomás-Carmona Inmaculada , Camacho-Alonso Fabio , Pérez-Jardón Alba , Pérez‐Sayáns Mario 
Published: July 2022

AbstractThe aim of this study was to evaluate the efficacy of mesenchymal stem cells (MSCs) in the regeneration of periodontal bone defects in animal models. A systematic review and meta-analysis were conducted following the PRISMA guidelines, and the study was recorded in PROSPERO under reference number CDR42021247462. The PICO question was: is periodontal regeneration (cementum, periodontal ligament and alveolar bone) with MSCs more effective than other techniques? Three groups were considered: Group 1: MSCs alone or mixed with regenerative materials. Group 2: only regenerative materials. Group 3: no regenerative material nor MSCs. The search was conducted using MeSH with a total of 18 articles for qualitative analysis and 5 for quantitative analysis. For the meta-analysis, a modification of the effect size algorithm was developed, which considered a comparison of means between treatments using the Student's t sample distribution. When comparing the effect size between Group 1 and Group 2, the effect size for the new cementum was 2.83 mm with an estimated confidence interval of 95% (CI 95%) between 0.48 and 5.17 mm. When considering the fit to a random-effects model, the combined variance (τ2) was 6.1573 mm, with a standard deviation (SD) of 5.6008 mm and a percentage of total heterogeneity I2 of 92.33% (p < 0.0001). For new bone, the effect size was 0.88 mm, CI 95% − 0.25 to 2.01 mm, τ2 = 1.3108 mm (SD = 1.2021 mm) and I2 = 80.46%, p = 0.0004). With regard to the new periodontal ligament, it was not possible for the meta-analysis to be performed. MSCs have a greater capacity for tissue regeneration in root cementum than in alveolar bone compared to other regenerative materials.
Memory rehabilitation: restorative, specific knowledge acquisition, compensatory, and holistic approaches
Authors: Gopi Yashoda , Wilding Edward , Madan Christopher R. 
Published: July 2022

AbstractMemory impairment following an acquired brain injury can negatively impact daily living and quality of life—but can be reduced by memory rehabilitation. Here, we review the literature on four approaches for memory rehabilitation and their associated strategies: (1) the restorative approach, aimed at a return to pre-morbid functioning, (2) the knowledge acquisition approach, involving training on specific information relevant to daily life, (3) the compensatory approach, targeted at improving daily functioning, and (4) the holistic approach, in which social, emotional, and behavioral deficits are addressed alongside cognitive consequences of acquired brain injury. Each memory rehabilitation approach includes specific strategies such as drill and practice (restorative), spaced retrieval (knowledge acquisition), memory aids (compensatory), or a combination of psychotherapy and cognitive strategies (holistic). Past research has demonstrated mixed support for the use of restorative strategies to improve memory function, whereas knowledge acquisition strategies show promising results on trained tasks but little generalization to untrained tasks and activities of daily living. Compensatory strategies remain widely used but require intensive training to be effectively employed. Finally, the holistic approach is becoming more widespread due to improvements in psychosocial wellbeing, yet there are considerable resource and cost requirements. Several factors can influence rehabilitation outcomes including metacognition and emotional disturbances. Considerations for future research to improve the applicability of strategies for memory rehabilitation include assessing memory impairment severity, examining memory needs in daily life, and exploring the long-term effects of memory rehabilitation.
Solving large linear least squares problems with linear equality constraints
Authors: Scott Jennifer , Tůma Miroslav 
Published: July 2022

AbstractWe consider the problem of solving large-scale linear least squares problems that have one or more linear constraints that must be satisfied exactly. While some classical approaches are theoretically well founded, they can face difficulties when the matrix of constraints contains dense rows or if an algorithmic transformation used in the solution process results in a modified problem that is much denser than the original one. We propose modifications with an emphasis on requiring that the constraints be satisfied with a small residual. We examine combining the null-space method with our recently developed algorithm for computing a null-space basis matrix for a “wide” matrix. We further show that a direct elimination approach enhanced by careful pivoting can be effective in transforming the problem to an unconstrained sparse-dense least squares problem that can be solved with existing direct or iterative methods. We also present a number of solution variants that employ an augmented system formulation, which can be attractive for solving a sequence of related problems. Numerical experiments on problems coming from practical applications are used throughout to demonstrate the effectiveness of the different approaches.
Characterising Negative Mental Imagery in Adolescent Social Anxiety
Authors: Chiu Kenny , Clark David M. , Leigh Eleanor 
Published: July 2022

Abstract
Background
Understanding the role of self-imagery in the development of social anxiety in adolescence holds promise for improving intervention. Cross-sectional studies indicate that imagery characteristics are associated with social anxiety symptoms, however, prospective studies are lacking. The current study examined concurrent and prospective associations between two image characteristics, namely observer-perspective and vividness, with social anxiety symptoms in a community adolescent sample (N = 616; 53% girls; aged 11–15 years). In addition, we examined common themes in the negative social anxiety-related images.

Methods
Negative self-imagery and social anxiety symptoms were assessed using questionnaires at baseline and at 4–6-month follow-up. A series of multiple linear regression analyses were performed to see if each image characteristic predicts concurrent and prospective social anxiety symptoms. Topic modelling was performed to infer key topics from verbal data.

Results
Observer-perspective and vividness significantly predicted concurrent social anxiety symptoms beyond the influence of age and gender. Observer-perspective significantly predicted prospective levels of social anxiety symptoms beyond the influence of age, gender, and baseline social anxiety and depression symptoms. Negative self-images clustered into two themes: the fear of appearing anxious and the fear of being judged or viewed as unacceptable.

Conclusions
Specific characteristics and contents of negative self-images may be particularly relevant to the development of adolescent social anxiety.
Developing a sustainability implementation framework: insights from academic research on tools, initiatives and approaches
Authors: Bautista-Puig Núria , Lozano Rodrigo , Barreiro-Gen Maria 
Published: July 2022

AbstractSustainability has been proposed to address societal challenges. A number of efforts have been undertaken to implement sustainability, particularly through frameworks such as tools, initiatives and approaches (TIAs). Most of the research on the implementation efforts has been in the corporate context. This paper is aimed at analysing the implementation of TIAs in academic research. A bibliometric analysis of twenty TIAs during the period 1961–2020 was carried out to analyse their implementation in academic research. The results highlight that there has been research published on all the TIAs analysed. The TIAs have a better balance and interrelations between the sustainability dimensions in their implementation than in the theory. The results show that for a better implementation of TIAs in academic research it is necessary to address sustainability dimensions (economic, environmental, social, and time) in a holistic and balanced way considering alignment of general and specific efforts, i.e. TIAs, and congruence (linking ‘theory’ and ‘implementation’). The results were integrated to propose a ‘Sustainability Implementation Framework’ (SIF), which is divided into three levels (i.e., Initiatives, Approaches, and Tools). The TIAs implementation should follow more strictly the definitions, or, perhaps, the TIAs definitions should be redefined to encompass the insights from their implementation.
Academic Integrity Perceptions Among Health-Professions’ Students: A Cross-Sectional Study in The Middle East
Authors: Kadayam Guruswami Gomathi , Mumtaz Sabiha , Gopakumar Aji , Khan Engila , Abdullah Fatima , Parahoo Sanjai K. 
Published: July 2022

AbstractA high level of professional integrity is expected from healthcare professionals, and literature suggests a relationship between unethical behavior of healthcare professionals and poor academic integrity behavior at medical school. While academic integrity is well researched in western countries, it is not so in the Middle East, which is characterized by different cultural values that may influence students’ academic integrity conduct. We conducted a cross-sectional study among health-professions students at a university in the Middle East to assess perceptual differences on various cheating behaviors, as well as to explore the reasons underlying the cheating behavior. A validated survey instrument disseminated among first and second-year undergraduate students resulted in 211 complete responses and this data was analyzed using descriptive and inferential statistics. Pearson’s Chi-square/ Fischer’s exact test was applied to test the association of various factors with academic misconduct. The major determinants of academic misconduct were investigated using Binary Logistic regression model. The conducted analysis and the results showed that preceding cheating behavior was the only factor significantly associated with cheating in the university (p < 0.001). No association was found between cheating behavior and age, college/major, awareness regarding academic integrity, or perception of faculty response. The reasons provided by students for cheating behavior were mainly academic workload and pressure to get a good grade. Various suggestions are made to enhance academic integrity among health-professions students including organizing workshops and events by the university to increase awareness and create an academic integrity culture, providing peer guidance as well as emotional and social support.
Analysis of the Evolution of a Multi-Ribbon Flare and Failed Filament Eruption
Authors: Joshi Reetika , Mandrini Cristina H. , Chandra Ramesh , Schmieder Brigitte , Cristiani Germán D. , Mac Cormack Cecilia , Démoulin Pascal , Cremades Hebe 
Published: July 2022

AbstractHow filaments form and erupt are topics about which solar researchers have wondered for more than a century and they are still open to debate. We present observations of a filament formation, its failed eruption, and the associated flare (SOL2019-05-09T05:51) that occurred in active region (AR) 12740 using data from the Solar Dynamics Observatory (SDO), the Solar-Terrestrial Relations Observatory A (STEREO-A), the Interface Region Imaging Spectrograph (IRIS) and the Learmonth Solar Observatory (LSO) of the National Solar Observatory/Global Oscillation Network Group (NSO/GONG). AR 12740 was a decaying region formed by a very disperse following polarity and a strong leading spot, surrounded by a highly dynamic zone where moving magnetic features (MMFs) were seen constantly diverging from the spot. Our analysis indicates that the filament was formed by the convergence of fibrils at a location where magnetic flux cancellation was observed. Furthermore, we conclude that its destabilisation was also related to flux cancellation associated with the constant shuffling of the MMFs. A two-ribbon flare occurred associated with the filament eruption; however, because the large-scale magnetic configuration of the AR was quadrupolar, two additional flare ribbons developed far from the two main ones. We model the magnetic configuration of the AR using a force-free field approach at the AR scale size. This local model is complemented by a global potential-field source-surface one. Based on the local model, we propose a scenario in which the filament failed eruption and the flare are due to two reconnection processes, one occurring below the erupting filament, leading to the two-ribbon flare, and another one above it between the filament flux-rope configuration and the large-scale closed loops. Our computation of the reconnected magnetic flux added to the erupting flux rope, compared to that of the large-scale field overlying it, allows us to conclude that the latter was large enough to prevent the filament eruption. A similar conjecture can be drawn from the computation of the magnetic tension derived from the global field model.
Can I dismiss the stereotype – as my teacher did? Influence of stereotype activation and an immigrant teacher on student learning
Authors: Ollrogge Karen , Frühauf Madita , Mros Theresa , Böttger Julia , Höhne Elisabeth , McElvany Nele , Zander Lysann , Hannover Bettina 
Published: July 2022

AbstractLower vocabulary in German is repeatedly reported for students with Turkish migration background attending school in Germany. We investigated whether in students of Turkish descent (a) learning vocabulary is impaired when the teacher activates the negative stereotype that students with Turkish family language learn less well and (b) whether a Turkish-origin teacher, as an ingroup expert model, can mitigate negative effects of the activation of the stereotype. In an experimental study, Turkish- and German-origin students (N = 182) living in Germany worked individually on a tablet on a vocabulary learning task instructed by a teacher in a video tutorial who introduced herself with either a Turkish or German name. Before the task, the teacher either mentioned that students in general (no stereotype activation) or students who speak Turkish in their families (stereotype activation) often have difficulties acquiring new vocabulary. A multiple-group regression analysis showed that Turkish-origin students learned significantly more under stereotype activation with the Turkish-origin teacher than in all other conditions. Results suggest that students are particularly motivated to learn when the teacher represents their ingroup targeted by negative stereotypes and openly addresses potential difficulties students of the stigmatized ingroup may encounter. We discuss the findings in light of the literature on stereotype threat and on the role of ingroup expert models.
Temporally explicit abiotic depletion potential (TADP) for mineral resource use based on future demand projections
Authors: Yokoi Ryosuke , Watari Takuma , Motoshita Masaharu 
Published: July 2022

Abstract
Purpose
Assessing the potential impacts (characterization) of mineral resource use in life cycle impact assessment (LCIA) has long been debated. One of the most crucial challenges in the characterization models for mineral resource use is the consideration of the changing demand and availability of in-use stocks in the future, which is relevant to the global population and economy growth as well as the increasing low-carbon technologies. We propose an extended characterization model to assess the potential impacts for arbitrary time horizons, considering future demand changes and the availability of in-use stock: temporally explicit abiotic depletion potential (TADP).

Methods
The TADP was developed based on abiotic depletion potential (ADP), which is a widely used characterization model for mineral resource use. While the ADP assesses the potential impacts of mineral resource use based on a natural stock estimate and the current extraction rate, the TADP adopts an average extraction rate for arbitrary time horizons. The average extraction rate was estimated using material flow analysis considering future demand changes and recycling under the five shared socioeconomic pathways (SSPs). TADPs were calculated for six common metals: aluminum, copper, iron, lead, nickel, and zinc.

Results and discussion
As a result of calculating TADPs for the term by 2050 (TADP2050), compared to iron, all other metals showed larger values of characterization factors for all SSPs than the original ADPs. The TADP2050 of copper exhibited the largest difference with ADP among the six metals (approximately 1.9 times), which is mainly attributed to future demand growth. On the other hand, for the longer time perspective, the TADP2100 of lead and zinc exhibited larger differences with ADP than copper (approximately 2.8 times for zinc), which is mainly due to a relatively shorter lifetime for lead and a lower recycling rate for zinc. This suggests that the relative significance of the characterization factors of metals varies depending on the temporal perspective.

Conclusions
With the proposed characterization model, the potential impacts of mineral resource use can be assessed reflecting future situations for the selected time horizons. The results demonstrate that the consideration of future situations greatly influences the relative significance of the potential impacts of using different mineral resources in the results of LCIA studies. By expanding the coverage of mineral resources and future scenario analysis to other relevant factors, the TADP model can improve the robustness of the assessment and further support decision-making towards sustainable resource management.
The Dynamics Between Self-Regulated Learning and Learning Outcomes: an Exploratory Approach and Implications
Authors: van der Graaf Joep , Lim Lyn , Fan Yizhou , Kilgour Jonathan , Moore Johanna , Gašević Dragan , Bannert Maria , Molenaar Inge 
Published: July 2022

AbstractSelf-regulated learning (SRL) has been linked to improved learning and corresponding learning outcomes. However, there is a need for more precise insights into how SRL during learning contributes to specific learning outcomes. We operationalised four learning outcomes that varied on two dimensions: structure/connectedness and level/deepness of knowledge. Specifically, we assessed how surface knowledge measured with a domain knowledge test (independent concepts) and a concept map (connected concepts), and deep knowledge measured with a transfer test (independent concepts) and an essay (connected concepts) were associated with frequencies of SRL activities during learning, assessed by concurrent think aloud, while taking into account students’ metacognitive and prior knowledge. Forty-four university students performed a 45-minute problem-solving task integrating information about three topics to write a vision essay on the future of education. Results of the pre-/post-test analysis revealed a learning gain in domain knowledge and concept maps. Low cognitive activities were associated with all knowledge measures, except the concept maps and transfer. Furthermore, specific low cognitive activities showed either a positive or negative association; for example, processing showed a positive association with essay, but a negative association with domain knowledge. High cognitive activities were associated with the essay (connected concepts), but not with the concept map. Both metacognitive activities and knowledge were related to transfer. To conclude, taking the level and structure of knowledge into account helps specify the association between SRL activities during learning and the related learning outcomes.
Developing a robust model to predict depth of anesthesia from single channel EEG signal
Authors: Alsafy Iman , Diykh Mohammed 
Published: July 2022

AbstractMonitoring depth of anaesthesia (DoA) from electroencephalograph (EEG) signals is an ongoing challenge for anaesthesiologists. In this study, we propose an intelligence model that predicts the DoA from a single channel electroencephalograph (EEG) signal. A segmentation technique based on a sliding window is employed to partition EEG signals. Hierarchical dispersion entropy (HDE) is applied to each EEG segment. A set of features is extracted from each EEG segment. The extracted features are investigated using a community graph detection approach (CGDA), and the most relevant features are selected to trace the DoA. The proposed model, based on HDE coupled with CGDA, is evaluated in term of BIS index using several statistical metrics such Q-Q plot, regression, and correlation coefficients. In addition, the proposed model is evaluated against the BIS index in the case of the poor signal quality. The results demonstrated that the proposed model showed an earlier reaction compared with the BIS index when patient’s state transits from deep anaesthesia to moderate anaesthesia in the case of poor signal quality. The highest Pearson correlation coefficient obtained by the proposed is 0.96.