bluuebunny/crossref_metadata_2025_split huggingface dataset:
Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations
Authors: Bighashdel Ariyan , Jancura Pavol , Dubbelman Gijs 
Published: December 2022

AbstractIn this paper, we define a novel inverse reinforcement learning (IRL) problem where the demonstrations are multi-intention, i.e., collected from multi-intention experts, unlabeled, i.e., without intention labels, and partially overlapping, i.e., shared between multiple intentions. In the presence of overlapping demonstrations, current IRL methods, developed to handle multi-intention and unlabeled demonstrations, cannot successfully learn the underlying reward functions. To solve this limitation, we propose a novel clustering-based approach to disentangle the observed demonstrations and experimentally validate its advantages. Traditional clustering-based approaches to multi-intention IRL, which are developed on the basis of model-based Reinforcement Learning (RL), formulate the problem using parametric density estimation. However, in high-dimensional environments and unknown system dynamics, i.e., model-free RL, the solution of parametric density estimation is only tractable up to the density normalization constant. To solve this, we formulate the problem as a mixture of logistic regressions to directly handle the unnormalized density. To research the challenges faced by overlapping demonstrations, we introduce the concepts of shared pair, which is a state-action pair that is shared in more than one intention, and separability, which resembles how well the multiple intentions can be separated in the joint state-action space. We provide theoretical analyses under the global optimality condition and the existence of shared pairs. Furthermore, we conduct extensive experiments on four simulated robotics tasks, extended to accept different intentions with specific levels of separability, and a synthetic driver task developed to directly control the separability. We evaluate the existing baselines on our defined problem and demonstrate, theoretically and experimentally, the advantages of our clustering-based solution, especially when the separability of the demonstrations decreases.
Revisiting the Faure report: Contemporary legacy and challenged legitimacy
Authors: Lee Moosung 
Published: December 2022

AbstractSince its publication in 1972, the Faure report has been regarded as a foundational text on the subject of lifelong learning, offering a plethora of ideas and repertoires. This article contemplates why and how the notions of self-fulfilment and self-learning are interrelated and profoundly important in understanding contemporary lifelong learning discourses, and how both have been appropriated by subsequent policy texts embedded in neoliberal thinking. The author argues that pursuing lifelong learning for self-fulfilment becomes voluntary self-exploitation as the individual’s desire to learn unwittingly becomes driven by the instinct to survive and thrive in neoliberal socio-political environments. He also demonstrates that the ideas and repertoires provided in the Faure report function as a fertile ground for lifelong learning discourses, even though the abundant mix of ideas and propositions make it difficult to view the report as an ideologically coherent and conceptually tight-knit blueprint for the future of education. Nonetheless, the author argues that the legacy of the Faure report is still valid beyond its historical specificity. He points out that when read within the context of the unprecedented worldwide experience of COVID-19, the Faure report’s proposition and reservations regarding mass media and cybernetics can shed light on the potential for contemporary technologies to strengthen emancipatory experiences of lifelong learning. Reflecting on this, he suggests that it is necessary to think collectively about how we can appreciate and harness technological innovation as an emancipatory tool to liberate ourselves from ignorance and prejudice through borderless and limitless connections to others, and to learn how to live with them.
Development of an Expert System for Prediction of Deposition Efficiency in Plasma Spraying
Authors: Bobzin K. , Heinemann H. , Dokhanchi S. R. 
Published: December 2022

AbstractDeposition efficiency (DE) serves as a key performance indicator in plasma spraying, which is tailored by dozens of intrinsic and extrinsic influencing factors. Due to the nonlinear and complex interdependencies of the influencing factors, increasing DE has always been a challenging undertaking in the process development of plasma spraying. Hence, employing modern computer-aided algorithms is inevitable to overcome these complexities. In this study, an expert system is developed to predict DE from process parameters using adaptive neuro-fuzzy inference system (ANFIS) and support-vector machine (SVM). The developed expert system consists of two subsystems: (1) SVM-models from a previous work of the authors are used to predict the in-flight particle properties from different process parameters based on simulation data sets and (2) an ANFIS is developed to predict DE from in-flight particle properties based on experimental data sets. The results show that the developed expert system is able to estimate DE precisely with root-mean-square error (RMSE) of about 1.1%. The proposed system enables sustainable and cost-effective coatings through the prediction of DE for each set of process parameters.
Challenges of fabricating catalyst layers for PEM fuel cells using flatbed screen printing
Authors: Ney Linda , Hog Jakob , Singh Rajveer , Göttlicher Nathalie , Schneider Patrick , Tepner Sebastian , Klingele Matthias , Keding Roman , Clement Florian , Groos Ulf 
Published: December 2022

AbstractIn this work, flatbed screen printing is evaluated regarding its capability to produce catalyst layers of PEM fuel cells. In the field of printed electronics, screen printing is regarded as robust and high-throughput coating technology. The possibility of in-plane structuring could be an additional degree of freedom, enabling more complex designs of catalyst layers in the future. In this study, process parameters are varied to investigate their effect on resulting layer thickness, homogeneity, and Pt-loading. With the usage of different screens, the Pt-loading can be adjusted. Additionally, two different pastes with and without water content are investigated. The catalyst paste without water showed a better process stability during printing and performed best under dry conditions (RH = 40%) and worst under wet conditions (RH = 100%) during electrochemical in-situ testing. Overall, the reproducibility of the CCM production process was verified. The viscosity of the catalyst paste with 19.55 wt% water in solvent was higher compared to the paste without water. Furthermore, a carbon paste (Pt-free) is developed in a similar viscosity range as the catalyst pastes. The main challenge of screen printing process development lies in the paste optimization to prevent evaporation effects over time, ensuring sufficient wetting of the paste on the substrate and sufficient fuel cell performance.
Brave Clarice—healthcare serial killers, patterns, motives, and solutions
Authors: Menshawey Rahma , Menshawey Esraa 
Published: December 2022

AbstractHealthcare serial killing involves the intentional killing of multiple patients by a healthcare professional. It is a formidable challenge to identify in the medical context, and a daunting legal task to prove beyond reasonable doubt. What can be done or remains to be done to intercept these serial killing events and help serve justice, while at the same time not risk dismantling public trust in the healthcare system? In light of several recent modern charges of murder against healthcare practitioners across the world, this review aims to report the themes, patterns, and motives of medical serial killers as well as highlight areas of work on both medical and legal fronts to help identify these events, and to most importantly protect the vulnerable patient community.
Autophagic reprogramming of bone marrow–derived macrophages
Authors: Mazher Mayada , Moqidem Yomna Adel , Zidan Mona , Sayed Ahmed A. , Abdellatif Ahmed 
Published: December 2022

Abstract
Macro-autophagy is a highly conserved catabolic process among eukaryotes affecting macrophages. This work studies the genetic regulatory network involving the interplay between autophagy and macrophage polarization (activation). Autophagy-related genes (Atgs) and differentially expressed genes (DEGs) of macrophage polarization (M1–M2) were predicted, and their regulatory networks constructed. Naïve (M0) mouse bone marrow–derived monocytes were differentiated into M1 and M2a. Validation of the targets of Smad1, LC3A and LC3B, Atg16L1, Atg7, IL-6, CD68, Arg-1, and Vamp7 was performed in vitro. Immunophenotyping by flow cytometry revealed three macrophage phenotypes: M0 (IL-6 + /CD68 +), M1 (IL-6 + /CD68 + /Arg-1 +), and M2a (CD68 + /Arg-1). Confocal microscopy revealed increased autophagy in both M1 and M2a and a significant increase in the pre-autophagosomes size and number. Bafilomycin A increased the expression of CD68 and Arg-1 in all cell lineages. In conclusion, our approach predicted the protein targets mediating the interplay between autophagy and macrophage polarization. We suggest that autophagy reprograms macrophage polarization via CD68, arginase 1, Atg16L1-1, and Atg16L1-3. The current findings provide a foundation for the future use of macrophages in immunotherapy of different autoimmune disorders.
Een gezonde toekomst voor iedereen
Authors: van Berkel Jantien , Bulten Anneke , Zink Elles , Blijlevens Petra , van der Hooft Tineke , de Vet Emely 
Published: December 2022

SamenvattingErvaringskennis is nodig om tot passende oplossingen te komen voor het verkleinen van gezondheidsverschillen. De inwonersadviesraad, betrokken bij de leerstoelgroep Consumptie en Gezonde Leefstijl van de Wageningen Universiteit, presenteren belangrijke onderwerpen voor onderzoek op dit gebied: (1) de complexiteit van het systeem; (2) de wisselwerking tussen mentale gezondheid en gezond leven; (3) de leefomgeving. Ook komen relevante overeenkomsten en verschillen naar voren met de Kennisagenda Samen Gezond Leven, die is opgesteld door wetenschappelijke experts, beleidsmakers en professionals.
Influence of maximal strength performance in front squat and deadlift on linear sprint and jump performance in male youth elite basketball players
Authors: Warneke Konstantin , Keiner Michael , Schiemann Stephan , Lohmann Lars , Wirth Klaus 
Published: December 2022

Abstract
Background
Strength and speed are two major factors that determine performance in basketball players especially sprinting, jumping and change of direction. This study examined relationships of maximal strength in the front squat and the deadlift with basketball-specific sprint and jump performance tests that are commonly used in test batteries of athletic diagnostics.

Materials and methods
In all, 42 youth male elite basketball players (age: 14.7 ± 2.4 years, age range: 13–18 years, height: 179.1 ± 15.3 cm, weight: 69.8 ± 19.2 kg) volunteered to take part in the present study. The one repetition maximum (1 RM) in the front squat and deadlift were used to determine maximum strength. Countermovement jump (CMJ) and standing long jump were evaluated to determine jump performance and 5, 10, and 20 m linear sprint as well as agility T‑test were performed to determine sprint performance. Pearson correlation analysis was used to assess the relationships between strength and jump and sprint performance.

Results
Strong positive correlations were found between maximal strength and jump heights (r = 0.85–0.91, p < 0.001) and strong negative correlations were determined between maximal strength and measured sprint times r = (−0.71 to −0.85, p < 0.001).

Conclusion
The measured maximal strength in the front squat and deadlift seem to be good predictors for basketball-specific jump and sprint performance. From this, it seems to be beneficial to include training of maximal strength via front squat and deadlift into training routines as well as performance diagnostics.
Interactive Effects of Warming and Pollutants on Marine and Freshwater Invertebrates
Authors: Dinh Khuong V. , Konestabo Heidi Sjursen , Borgå Katrine , Hylland Ketil , Macaulay Samuel J. , Jackson Michelle C. , Verheyen Julie , Stoks Robby 
Published: December 2022

Abstract
Purpose of Review
Global warming and pollution are among the five major causes of global biodiversity loss, particularly in aquatic invertebrates which are highly diverse but understudied. In this review, we highlight advancements in current environmental studies investigating the interactive effects between warming and contaminants in freshwater and marine invertebrates. We not only focused on temperate regions but also synthesized information on the less studied Arctic/Antarctic and tropical regions.

Recent Findings
In general, the same combination of warming and contaminants may result in either additive or non-additive interactive effects depending on taxa, the response variable, life stage, genotype, exposure level, duration and order of exposure, and the number of exposed generations. For traditional contaminants such as metals and pesticides, combined effects with warming at the individual level were generally synergistic. Growing evidence suggests that multigenerational exposure can shift the interaction between warming and contaminants toward antagonism, while contemporary evolution may change the interaction type.

Summary
Our synthesis highlights the importance of temporal aspects in shaping interaction type, including order of exposure, ontogenetic effects, transgenerational effects, and evolution. The combination of laboratory experiments (to advance mechanistic understanding) and outdoor mesocosm studies or field observations (to increase realism) is needed to obtain comprehensive assessments of interactive effects of warming and pollutants from genes to ecosystems.
Just translation? A socioecological justice lens on EU environmental governance and urban mobility transitions
Authors: Stockmann Nils , Graf Antonia 
Published: December 2022

AbstractEU environmental policies such as the Ambient Air Quality Directive 2008/50 are highly relevant in this age of the looming climate crisis and interconnected sustainable transitions. However, implementation efforts such as low-emission zones, road pricing, and driving bans affect citizens in heterogenous situations and in ways that evoke questions of socioecological justice. This has resulted in an increasingly polarized reluctance to respective governance across Europe. The EU policy implementation literature often omits these less clearly operationalized norms that EU policies transport and pays little attention to how stakeholders in cities discursively and practically translate EU directives. Constructivist norm research underlines the importance of ‘localizing’ by highlighting that justice does matter for norm translation. The environmental justice concept has, however, not been systematically introduced and referenced in the norm research literature. This article offers a heuristic to address this research gap by combining a translation perspective from International Relations norm research with an environmental justice lens. Following the journey of the Air Quality Directive 2008/50, we ask how urban implementation configures the Directive’s environmental justice dimension and why this is important for effective and sustainable EU governance. Empirically, we focus on action plans and participation processes regarding Directive 2008/50 in Brussels, Glasgow, and Hamburg. As a result, we show that EU environmental governance unfolds at the local level as a dynamic contestation of different distributive justice claims that then translate into concrete policies. The analysis indicates that those policies must procedurally integrate local knowledge and identity formation to enable comprehensively just sustainable transformations.
Traffic flow prediction using bi-directional gated recurrent unit method
Authors: Wang Shengyou , Shao Chunfu , Zhang Jie , Zheng Yan , Meng Meng 
Published: December 2022

AbstractTraffic flow prediction plays an important role in intelligent transportation systems. To accurately capture the complex non-linear temporal characteristics of traffic flow, this paper adopts a Bi-directional Gated Recurrent Unit (Bi-GRU) model in traffic flow prediction. Compared to Gated Recurrent Unit (GRU), which can memorize information from the previous sequence, this model can memorize the traffic flow information in both previous and subsequent sequence. To demonstrate the model’s performance, a set of real case data at 1-hour intervals from 5 working days was used, wherein the dataset was separated into training and validation. To improve data quality, an augmented dickey-fuller unit root test and differential processing were performed before model training. Four benchmark models were used, including the Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (Bi-LSTM), and GRU. The prediction results show the superior performance of Bi-GRU. The Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE), and Mean Absolute Error (MAE) of the Bi-GRU model are 30.38, 9.88%, and 23.35, respectively. The prediction accuracy of LSTM, Bi-LSTM, GRU, and Bi-GRU, which belong to deep learning methods, is significantly higher than that of the traditional ARIMA model. The MAPE difference of Bi-GRU and GRU is 0.48% which is a small prediction error value. The results show that the prediction accuracy of the peak period is higher than that of the low peak. The Bi-GRU model has a certain lag on traffic flow prediction.
Stochastic parameterization of column physics using generative adversarial networks
Authors: Nadiga Balasubramanya T. , Sun Xiaoming , Nash Cody 
Published: December 2022

Abstract
We demonstrate the use of a probabilistic machine-learning technique to develop stochastic parameterizations of atmospheric column physics. After suitable preprocessing of NASA’s Modern-Era Retrospective analysis for Research and Applications, version 2 (MERRA2) data to minimize the effects of high-frequency, high-wavenumber component of MERRA2 estimate of vertical velocity, we use generative adversarial networks to learn the probability distribution of vertical profiles of diabatic sources conditioned on vertical profiles of temperature and humidity. This may be viewed as an improvement over previous similar but deterministic approaches that seek to alleviate both, shortcomings of human-designed physics parameterizations, and the computational demand of the “physics” step in climate models.
British Liberalism and the French Invasion of Mexico
Authors: Middleton Alex 
Published: December 2022

AbstractNapoleon III's 1860s intervention in Mexico mystified some British observers. For many others, however, it raised urgent questions about the duties of European civilization and the future of global order. This article argues that the affair forced attitudes toward other European countries' overseas imperial projects into sharp political focus, and that in doing so it revealed incipient shifts in the center of gravity of Victorian liberalism. France's Second Mexican Empire split opinion in the Liberal Party and press, throwing light on wider disputes about the parameters of legitimate imperial intervention, the reach of the principles of nationality and self-determination, the political needs of disordered multiracial polities in less-developed parts of the world, and Europe's proper relations with Spanish America. But most Liberals who engaged with the enterprise condemned it, a fact that lays bare a changing balance of power between what historians have called “liberal imperial” and noninterventionist arguments in the 1860s. The failure of the intervention, moreover, did much to affirm powerful partisan narratives about French politics, which helped to buttress the electoral ascendancy of the Liberal Party.
Inferring ecological connectivity between populations of Opsanus beta (Goode & Bean, 1880) from the southern Gulf of Mexico and the South-western Atlantic coast
Authors: Carvalho Barbara Maichak de , Pérez José Antônio Martínez , Aguilar-Perera Alfonso , Noh Quiñones Virginia , Tomás Acácio Ribeiro Gomes , Vitule Jean , Volpedo Alejandra 
Published: December 2022

AbstractOtoliths are an excellent tool in studies on ecological connectivity of fish species populations. Opsanus beta is an invasive species introduced on the Brazilian coast, but not native from the Gulf of Mexico. The present study aimed to compare the otolith contours of specimens collected in Mexico (Celestún, CEL) and in two Brazilian estuaries (Santos Bay, STB, and Paranaguá Estuarine Complex, PEC). In the laboratory, 99 otoliths were extracted, photographed and compared using wavelet analysis. The otolith contours varied between sites (39 from CEL, 26 from STB and 34 from PEC). The linear discriminant analysis correctly reclassified 87.9% of otoliths by sites, with the best reclassifications in the CEL (97.36%), followed by PEC (88.23%) and SBT (73.07%). MANOVA showed significant differences in otolith contours between sites (F = 5.37; P < 0.005). The otolith contour from CEL was significantly different from those from the PEC and SBT. However, the otolith contour of the two Brazilian estuaries did not significantly differ among them (MANOVA, P > 0.005). Our results indicate O. beta populations on the Brazilian coast are connected, and probably isolated from the Mexican population.
Evaluation of perceived depression, anxiety, stress levels and emotional eating behaviours and their predictors among adults during the COVID-19 pandemic
Authors: Kaner Gülşah , Yurtdaş-Depboylu Gamze , Çalık Gamze , Yalçın Tuba , Nalçakan Tutku 
Published: December 2022

AbstractObjective:This study aimed to (1) evaluate the prevalence and predictors of perceived depression, anxiety, stress (DAS) levels and emotional eating behaviours and (2) determine the correlations between DAS levels and emotional eating behaviours during the pandemic.Design:An online cross-sectional study included questions about demographic and anthropometric characteristics, dietary habits, Emotional Appetite Questionnaire (EMAQ) and Depression Anxiety Stress Scales. The snowball sampling method was used.Setting:Türkiye.Participants:The study population was 2002 adults aged ≥18 years.Result:The mean age was 27·1 ± 9·52 years (72·1 % females and 27·9 % males). The prevalence of moderate to severe DAS was reported as 27·8 %, 30·5 % and 30·7 %, respectively. Skipping meals (OR = 1·32, 95 % CI (1·14, 1·49)) was associated with depression. Weight gain (OR = 1·43, 95 % CI (1·19, 1·66); OR = 1·30, 95 % CI (1·14, 1·49); OR = 1·39, 95 % CI (1·14, 1·64)), weight loss (OR = 1·45, 95 % CI (1·20, 1·70); OR = 1·37, 95 % CI (1·11, 1·62); OR = 1·46, 95 % CI (1·20, 1·72)), exercising at least 150 min/week (OR = 0·64, 95 % CI (0·46, 0·83); OR = 0·73, 95 % CI (0·55, 0·92); OR = 0·83, 95 % CI (0·63, 1·02)), and maintaining an adequate and balanced diet (OR = 0·52, 95 % CI (0·33, 0·71); OR = 0·53, 95 % CI (0·34, 0·73); OR = 0·63, 95 % CI (-0·15, 0·35)) were associated with DAS, respectively. BMI (r= 0·169,P< 0·001), weight (r= 0·152,P< 0·001), number of snacks (r= 0·102,P= 0·011), depression (r= 0·060,P= 0·007), anxiety (r= 0·061,P= 0·006) and stress (r= 0·073,P= 0·001) levels were positively correlated with EMAQ-negative scores.Conclusion:Approximately one out of every three participants reported moderate to severe DAS levels. Emotional eating was significantly correlated with perceived DAS. The predictors obtained in the study suggest that a healthy diet and lifestyle behaviours are part of psychological well-being and emotional eating.