bluuebunny/crossref_metadata_2025_split huggingface dataset:
An exploration of factors contributing to multicultural counseling self‐efficacy in addiction counselors
Authors: Smith Joshua D. , Culbreth John R. , Flowers Claudia P. 
Published: February 2023

AbstractA non‐experimental, correlational survey design was used to explore relationships between counselor recovery status, training, and counselor demographic variables on multicultural counseling self‐efficacy in addiction counselors (N = 283) using the Multicultural Counseling Self‐Efficacy – Racial Diversity Form. A multiple‐indicators and multiple‐causes model analysis indicated significant differences based on race, multicultural education, and CACREP program attendance on multicultural counseling self‐efficacy. Implications from this study and recommendations for future research are discussed.
Need for metacognition and critical thinking in the e‐learning ecosystem: The new normal in post Covid era
Authors: Gupta Priyanka , Bamel Umesh 
Published: February 2023

AbstractPresent paper aims to extend the legitimacy of social cognition theory in the context of e‐learning by examining the relationship between metacognition and critical thinking. In addition, we test the moderating effect of internet self‐efficacy. We contextualize this study to e‐learning as digital medium has become the new normal in post‐Covid era. A sample set of 357 management professionals who have participated in e‐learning recently was obtained, and collected data were analyzed using regression analysis. Our analysis confirms that metacognition is positively associated to critical thinking. The findings establish the need to provide management professionals with tools to develop metacognition as it promotes critical thinking prowess in the context of e‐learning.
Quality of life outcomes for patients with metastatic castration‐resistant prostate cancer and pretreatment prognostic score
Authors: Oyenuga Mosunmoluwa , Halabi Susan , Oyenuga Abayomi , McSweeney Sean , Morgans Alicia K. , Ryan Charles J. , Prizment Anna 
Published: February 2023

AbstractBackgroundA prognostic risk score (Halabi score) in metastatic castration‐resistant prostate cancer (mCRPC) accurately predicts overall survival, but its association with quality of life (QOL) has not been defined. We hypothesize that a higher pretreatment Halabi score is associated with worse QOL outcomes over time in mCRPC patients.MethodsPatient‐level data from the docetaxel plus prednisone control arm of Mainsail, a Phase 3 clinical trial in mCRPC were accessed via ProjectDataSphere. Pretreatment Halabi score included disease‐related factors: metastatic site, opioid use, Eastern Cooperative Oncology Group performance status (ECOG‐PS), alkaline phosphatase, albumin, hemoglobin, lactic acid dehydrogenase, and PSA, with higher score indicating worse survival. Three QOL scales were created: Functional Assessment of Cancer Therapy‐Prostate (FACT‐P, higher score = better QOL), Brief Pain Inventory‐Short Form Severity score (BPI‐SFSS, higher score = higher pain severity), and BPI‐SF Interference score (BPI‐SFIS, higher score = greater pain interference). Mixed linear model was used to estimate the associations between Halabi score and QOL scores assessed at different time points (baseline, 2 months, and 6 months).ResultsThis analysis included 412 mCRPC patients (median age = 68 years, 82% white, 5% Black, median log PSA = 4.4 ng/mL). After multivariable adjustment, Halabi score was significantly associated with QOL scores at all time points. At 6 months, multivariable adjusted FACT‐P decreased by 10.0 points (worsening), BPI‐SFSS increased by 0.8 points (worsening), and BPI‐SFIS increased by 0.9 points (worsening) for each unit increase in Halabi risk score. In multivariable analysis of individual components, ECOG‐PS, site of metastasis, and opioid use were significantly associated with worse QOL scores at baseline.ConclusionsChemotherapy‐naïve mCRPC patients with poorer Halabi prognostic risk scores have poorer QOL and greater pain intensity and interference at baseline and during follow‐up.
Influence of ALS‐linked M337V mutation on the conformational ensembles of TDP‐43321–340 peptide monomer and dimer
Authors: Zeng Jiyuan , Tang Yiming , Dong Xuewei , Li Fangying , Wei Guanghong 
Published: February 2023

AbstractThe transactive response (TAR) DNA/RNA‐binding protein 43 (TDP‐43) can self‐assemble into both functional stress granules via liquid–liquid phase separation (LLPS) and pathogenic amyloid fibrillary aggregates that are closely linked to amyotrophic lateral sclerosis. Previous experimental studies reported that the low complexity domain (LCD) of TDP‐43 plays an essential role in the LLPS and aggregation of the full‐length protein, and it alone can also undergo LLPS to form liquid droplets mainly via intermolecular interactions in the 321–340 region. And the ALS‐associated M337V mutation impairs LCD's LLPS and facilitates liquid–solid phase transition. However, the underlying atomistic mechanism is not well understood. Herein, as a first step to understand the M337V‐caused LLPS disruption of TDP‐43 LCD mediated by the 321–340 region and the fibrillization enhancement, we investigated the conformational properties of monomer/dimer of TDP‐43321–340 peptide and its M337V mutant by performing extensive all‐atom explicit‐solvent replica exchange molecular dynamic simulations. Our simulations demonstrate that M337V mutation alters the residue regions with high helix/β‐structure propensities and thus affects the conformational ensembles of both monomer and dimer. M337V mutation inhibits helix formation in the N‐terminal Ala‐rich region and the C‐terminal mutation site region, while facilitating their long β‐sheet formation, albeit with a minor impact on the average probability of both helix structure and β‐structure. Further analysis of dimer system shows that M337V mutation disrupts inter‐molecular helix–helix interactions and W334‐W334 π‐π stacking interactions which were reported to be important for the LLPS of TDP‐43 LCD, whereas enhances the overall peptide residue‐residue interactions and weakens peptide‐water interactions, which is conducive to peptide fibrillization. This study provides mechanistic insights into the M337V‐mutation‐induced impairment of phase separation and facilitation of fibril formation of TDP‐43 LCD.
Interplay of Depletion Forces and Biomolecular Recognition in the Hierarchical Assembly of Supramolecular Tubes
Authors: Xiu Fangyuan , Knežević Anamarija , Huskens Jurriaan , Kudernac Tibor 
Published: February 2023

AbstractCrowding effects have a profound impact on the hierarchical organization of cellular architectures. In the fields of systems chemistry and soft matter, this effect has not received much attention so far. Here, it is explored how poly(ethylene glycol) (PEG) as a crowding agent invokes depletion forces that act on synthetic supramolecular tubes. Hence, supramolecular tubes are pushed from their random orientation into hierarchically assembled bundles due to the PEG‐induced crowded environment. The resulting morphology of formed bundled architectures can be tuned by the concentrations of both the supramolecular tubes and the PEG. The introduction of biotin groups at the surface of the tubes allows the engineering of biotin–streptavidin crosslinks between them. The order of introducing PEG and streptavidin in the system further affects the formed hierarchical assemblies, as well as their resistance toward dilution. The strategy described here provides a new route to establish hierarchically organized supramolecular architectures, combining crowding and specific biomolecular interactions, which shows the potential for controlling the structure of supramolecular materials and other soft matter systems.
Typification of Linnaean Barleria (Acanthaceae) binomials based on Indian material
Authors: Lekhak Manoj Madhwanand 
Published: February 2023

AbstractThe three remaining untypified Linnaean binomials in the genus Barleria, described based on material from India, are lectotypified: B. buxifolia, B. hystrix and B. longifolia. The confusion over the taxonomic identity of B. buxifolia is discussed and the need for an epitype indicated.
A User-Centred Approach to User Interface Languages and Icons: Co-evaluation and Co-creation of Accessible Digital Mobility Services
Authors: Hueting Rebecca , Giorgi Sabina , Capaccioli Andrea 
Published: February 2023

AbstractChallenging the acceptance of what have been defined as universal and standard pictograms, this paper promotes a conceptual approach to improve non-textual communication in digital mobility and delivery services, to ensure that different types of people may access content in an intuitive manner, overcoming language, cultural, physical and cognitive barriers. Starting from the user-centred methodological process applied in the development of the Universal Interface Language tool, one of the main outcomes of the INDIMO EU project (Inclusive Digital Mobility Solutions), this paper presents a methodological path that can provide UX/UI designers, developers and service providers with a practical guide to defining a proper set of accessible and inclusive icons as part of the user interface, be it digital or physical. In particular, this paper points out the need for bottom-up initiatives based on the co-design of physical and digital interfaces and their components to create symbols and icons with a higher degree of universality. To this end, user evaluations of mobility specific and general icons, and recommendations based on the empirical research in the INDIMO project, are presented. These address the design, selection and integration of visual icons in accessible user interfaces for digital applications.
Automated Vehicles Empowering Mobility of Vulnerable Groups - and the Pathway to Achieve This
Authors: Randhahn Annette , Leitão Joana , Foldesi Erzsébet , Dubbert Jörg , Pinto Alexandra , Zachäus Carolin , Moertl Peter 
Published: February 2023

AbstractMany people in Europe still have limited access to transportation modes overall. Socio-economic constrains as well as cognitive, sensory and physical impairments affect everyday life of these citizens, posing challenges to access mobility services.Technologies for vehicle automation have advanced greatly in recent decades and it is expected to become part of vehicle fleets in the foreseeable future. Yet, the implementation and use of automated and autonomous vehicles (here jointly referred to as AVs) entails chances but also hurdles regarding accessibility and inclusivity of vulnerable groups. This concerns both the use of the vehicle by humans as well as the interaction between humans and vehicles as participants in road traffic.In this chapter, these aspects shall be presented by identifying opportunities and risks as part of our mobility system, starting from a narrowing down of the vulnerable social groups we are looking at. Subsequently, we present the benefits that co-creation and universal design can have in overcoming or, in the best case, avoiding these obstacles. Even though the authors are aware that no detailed recommendations for action can be given within this framework, at least suggestions for solutions are outlined.
Digital Shared Mobility Services: Operationalizing the Capabilities Approach to Appraise Inclusivity
Authors: Martinez Lluis , Keseru Imre 
Published: February 2023

AbstractDigitalization has fostered the emergence and transformation of transport services, such as shared transport. Digital literacy and having access to digital platforms are increasingly necessary prerequisites to be mobile and benefit from these services. Consequently, new forms of transport disadvantages have emerged, which might result in the exclusion of vulnerable populations.This paper reviews the literature about transport disadvantages, digital exclusion and shared transport to identify a comprehensive approach to the study of digital shared mobility services (DSMS). By incorporating the digital divide into the Capabilities Approach, a theoretical framework to study DSMS is proposed.The findings of this paper are relevant to decision-makers, practitioners and researchers working within the field of urban mobility and shared transport services. The theoretical framework proposed is useful to understand the unequal use of DSMS and appraise their inclusivity. This framework is also useful for transport operators and policy-makers interested in adopting a user-centred perspective.
Methodological Paths to Achieve Inclusive Digital Mobility Solutions: Target-Group Capabilities and Limitations
Authors: Di Ciommo Floridea , Rondinella Gianni , Shiftan Yoram , Specktor Michelle 
Published: February 2023

AbstractPhysical, digital and graphic interface requirements of digital mobility and delivery services (and target groups) are a result of a comparison between the capabilities and limitations of each target group. A summary of the main users/non-users capabilities, limitations, and requirements (hereafter CLR) identified by populations that are more vulnerable will be the basis for understanding the most relevant needs threads: space, time and human factor. While space and time are traditional threads for capturing needs in transport and mobility (i.e. origin-destination, distance, time-saving etc.), the third thread ‘human contact’ appears as a new and clear need for the use of digital mobility and delivery solutions. A relevant number of inclusiveness requirements deals with this aspect that becomes a “must” for the extension of the inclusive digitalization in mobility. This chapter will conclude with the presentation of the most important insights in terms of capabilities, limitations and requirements that deal with the human contact factor.
Mainstreaming Sustainable Urban Mobility – The Mieri-Mobil Project
Authors: Abraham Michael , Schröder Carolin 
Published: February 2023

AbstractIn 2021, the Berlin district Charlottenburg-Wilmersdorf offered residents various mobility options on a part of an urban square called Mierendorffplatz. The overall objective was to explore how people living at the square or in the closer neighbourhood could change their mobility habits to become more environmentally friendly. The test aimed at exploring how sustainable urban mobility can be successfully implemented on a wider scale in in other parts of the city - thus seeking to contribute to mainstreaming sustainable mobility planning in regular city-wide mobility planning processes.This article describes results from evaluating the project: Implementing such exploratory living labs successfully and without excluding specific user groups, depends on the integration of knowledge and resources of both the local governing bodies and civil society. This puts a focus on the question of accessibility of urban space and on the need to re-organize it differently if sustainability criteria should be met.It concludes that sustainable forms of mobility need to become more demand-orientated and that different legal and economic frameworks are necessary to make it a real alternative for everybody. These two aspects will be elaborated. The findings are based on empiric evaluation and validated through consultations with high-ranking experts.
Supporting brain health in multiple sclerosis: exploring the potential of neuroeducation combined with practical mindfulness exercises in the management of neuropsychological symptoms
Authors: Baetge Sharon Jean , Filser Melanie , Renner Alina , Raithel Lina Marie , Lau Stephanie , Pöttgen Jana , Penner Iris-Katharina 
Published: February 2023

AbstractObjectiveWe aimed at examining the effects of a known metacognitive training in MS (MaTiMS) and its modification with an additional neuroeducational module and mindfulness-based exercises (MaTiMS-modified) on neuropsychiatric and cognitive outcomes in people with progressive multiple sclerosis (pwpMS). Exploratively, we investigated whether the modification may show an additional benefit.MethodsBoth interventions were administered in small groups of ambulatory patients. Neuropsychological testing before and after the 3- to 4-week intervention phase comprised patient reported outcomes and cognitive tests. After 3, 6 and 12 months, participants completed online surveys. Analysis of change scores (between baseline and retest) witht-tests (Mann–WhitneyUand Wilcoxon tests, respectively) and mixed ANCOVAs with repeated measures for comparison of both interventions were conducted.ResultsA total of 65 pwpMS turned to a final sample of 50 (n = 15 excluded due to drop-outs, occurrence of relapse or steroid treatment). Change scores withinMaTiMSrevealed no significant effect on the PDQ-20 total score and only a significant effect on the subscale retrospective memory lasting 3 months with a moderate effect size. In contrast,MaTiMS-modifiedrevealed a highly significant change in PDQ-20 total compared to baseline and significant improvements with small to moderate effect sizes on all PDQ-20 subscales (lasting until 3 months), in self-efficacy, stress, visuo-spatial working memory (moderate effect sizes), and fatigue (small effect size). While no interaction effect between time and group could be revealed, a significant main effect for time was found in PDQ-20 total.ConclusionBothMaTiMSandMaTiMS-modifiedpositively affected perceived cognitive deficits. However, our data speak in favor of additional benefits by adding neuroeducational and mindfulness-based exercises thus being valuable methods to support brain health including self-efficacy, perceived stress, and fatigue, even in patients with a chronic and progressive brain disease.
Using flash glucose monitoring in pregnancies in routine care of patients with gestational diabetes mellitus: a pilot study
Authors: Bastobbe Sophie , Heimann Yvonne , Schleußner Ekkehard , Groten Tanja , Weschenfelder Friederike 
Published: February 2023

Abstract
Aim
Flash glucose monitoring (FGM) has been approved for the care of pregnant women with preexisting diabetes since 2017. However, its use in gestational diabetes (GDM) has been critically discussed. Inaccuracy and missing recommendations for target values are the main arguments against the use of FGM in GDM. To date, there is a lack of data to justify routine use of FGM in GDM pregnancies. Consequently, this new technology has been withheld from GDM-patients. Aim of our pilot study was to analyze the impact of FGM use on pregnancy outcomes, patient’s satisfaction and to confirm the safe use in GDM pregnancies.

Methods
Cohort study of 37 FGM-managed GDM pregnancies compared with 74 matched women using self-monitoring of blood glucose (SMBG). Group comparison using nonparametric testing concerning patients characteristic and perinatal outcome focusing on adverse outcomes (preeclampsia, preterm delivery, large for gestational age, C-sections, neonatal intensive care unit admission, hyperbilirubinemia and hypoglycemia). Evaluation of patient’s treatment satisfaction using the “Diabetes Treatment Satisfaction Questionnaire change” (DTSQc) and patient interviews.

Results
No significant differences in patient’s characteristics despite gestational age at diagnosis (FGM with 20 vs. SMBG with 25 weeks). No difference in gestational weight gain, HbA1c progression and perinatal outcome. Treatment satisfaction obtained by the DTSQc revealed a high level of satisfaction with FGM use.

Conclusion
FGM use was well accepted and did not affect perinatal outcome. Use of FGM during pregnancy is safe and non-inferior to the management with SBGM. FGM should be considered as an option in the management of GDM patients.
Machine learning models in clinical practice for the prediction of postoperative complications after major abdominal surgery
Authors: Stam Wessel T. , Ingwersen Erik W. , Ali Mahsoem , Spijkerman Jorik T. , Kazemier Geert , Bruns Emma R. J. , Daams Freek 
Published: February 2023

AbstractComplications after surgery have a major impact on short- and long-term outcomes, and decades of technological advancement have not yet led to the eradication of their risk. The accurate prediction of complications, recently enhanced by the development of machine learning algorithms, has the potential to completely reshape surgical patient management. In this paper, we reflect on multiple issues facing the implementation of machine learning, from the development to the actual implementation of machine learning models in daily clinical practice, providing suggestions on the use of machine learning models for predicting postoperative complications after major abdominal surgery.
Energy generation forecasting: elevating performance with machine and deep learning
Authors: Mystakidis Aristeidis , Ntozi Evangelia , Afentoulis Konstantinos , Koukaras Paraskevas , Gkaidatzis Paschalis , Ioannidis Dimosthenis , Tjortjis Christos , Tzovaras Dimitrios 
Published: February 2023

AbstractDistribution System Operators (DSOs) and Aggregators benefit from novel Energy Generation Forecasting (EGF) approaches. Improved forecasting accuracy may make it easier to deal with energy imbalances between production and consumption. It also aids operations such as Demand Response (DR) management in Smart Grid architecture. This work aims to develop and test a new solution for EGF. It combines various methodologies running EGF tests on historical data from buildings. The experimentation yields different data resolutions (15 min, one hour, one day, etc.) while reporting accuracy errors. The optimal forecasting technique should be relevant to a variety of forecasting applications in a trial-and-error manner, while utilizing different forecasting strategies, ensemble approaches, and algorithms. The final forecasting evaluation incorporates performance metrics such as coefficient of determination ($${R^{2}}$$

R
2

), Mean Absolute Error (MAE), Mean Squared Error (MSE) and Root Mean Squared Error (RMSE), presenting a comparative analysis of results.
Attention as Practice
Authors: Bombaerts Gunter , Anderson Joel , Dennis Matthew , Gerola Alessio , Frank Lily , Hannes Tom , Hopster Jeroen , Marin Lavinia , Spahn Andreas 
Published: February 2023

AbstractThe “attention economy” refers to the tech industry’s business model that treats human attention as a commodifiable resource. The libertarian critique of this model, dominant within tech and philosophical communities, claims that the persuasive technologies of the attention economy infringe on the individual user’s autonomy and therefore the proposed solutions focus on safeguarding personal freedom through expanding individual control. While this push back is important, current societal debates on the ethics of persuasive technologies are informed by a particular understanding of attention, rarely posited explicitly yet assumed as the default. They share the same concept of attention, namely an individualistic and descriptive concept of attention that is a cognitive process, an expendable resource, something that one should control individually. We step away from a negative analysis in terms of external distractions and aim for positive answers, turning to Buddhist ethics to formulate a critique of persuasive technology from a genuinely ethical perspective. Buddhist ethics points at our attention’s inescapable ethical and ontological embeddedness. Attention as practice requires “the right effort” to distinguish desirable and undesirable states, the “right concentration” to stop the flow we are caught in, and the “right mindfulness” to fortify the ability to attend to the present situation and keep in mind a general sense of life’s direction. We offer input for further philosophical inquiry on attention as practice and attention ecology. We put forward comfort/effort and individualism/collectivism as two remaining central tensions in need of further research.