bluuebunny/crossref_metadata_2025_split huggingface dataset:
Everyday anxious doubt
Authors: Vazard Juliette 
Published: May 2022

AbstractIn this article I examine the role of anxiety in our motivation to reassess our epistemic states, by taking as a starting point a proposal put forward by Levy (Philosophers' Imprint 16:1–10, 2016), according to which anxiety is responsible for the ruminations and worries about threatening possibilities that we sometimes get caught up into in our everyday life. Levy’s claim is that these irrational persistent thoughts about possible states of affairs are best explained by anxiety, rather than by beliefs, degrees of belief, or other mental states. I will take Levy’s article as a starting point into my study of the role of anxiety in our inclinations to question the epistemic quality of our cognitive states. While I believe that Levy is right in directing our attention to the role of anxiety in these cases, his claim calls for further explanation into the nature of anxiety, and into the mechanisms through which anxiety generates these doubts. Although the relation between anxiety and doubt has already been highlighted (Hookway in: Can J Philos 28:203–225, 1998, Epistemology and emotions, Ashgate Publishing, Hampshire, 2008), there has been little effort to elaborate on the mechanisms through which an affective state like anxiety generates a motivation to reassess our beliefs. This paper is an attempt at providing such an elaboration. Clarifying the role of anxiety in these phenomena will lead me to revise a common assumption about the interactions between anxiety and higher-level cognitive processes, such as the ones involved in representing hypothetical threatening scenarios through mental imagery.
Effectiveness, safety, and healthcare costs associated with rivaroxaban versus warfarin among venous thromboembolism patients with obesity: a real-world study in the United States
Authors: Berger Jeffrey S. , Laliberté François , Kharat Akshay , Lejeune Dominique , Moore Kenneth Todd , Jung Young , Lefebvre Patrick , Ashton Veronica 
Published: May 2022

AbstractPrior observational studies suggest rivaroxaban is safe and effective among patients with morbid obesity who suffered a venous thromboembolism (VTE) event, but existing data are more limited in the broader population of VTE patients with obesity. This study assessed VTE recurrence, major bleeding, healthcare resource utilization, and healthcare costs among VTE patients with obesity who received rivaroxaban versus warfarin. VTE patients with obesity who initiated rivaroxaban or warfarin after a first VTE (index date) were identified from the IQVIA PharMetrics® Plus database (01/02/2011–09/30/2019). The follow-up period spanned from the index date until health plan disenrollment, end of data availability, cancer diagnosis/treatment, end of the 12 month post-index period, or (for the analysis of major bleeding) anticoagulant discontinuation or switch. Patient characteristics were balanced using inverse probability of treatment weighting. The weighted rivaroxaban (N = 8666) and warfarin cohorts (N = 5946) were well balanced (mean age = 51 years, females = 52%). Over a 9.6 months mean observation period, rivaroxaban users had a significantly lower risk of VTE recurrence [7.0% vs. 8.2%, HR(95% CI) = 0.85(0.75;0.97)] and a similar risk of major bleeding [4.1% vs. 3.6%, HR(95% CI) = 1.11(0.89;1.37)] relative to warfarin users at 12 months. Relative to warfarin users, rivaroxaban users had significantly fewer all-cause outpatient visits [RR(95% CI) = 0.71(0.70;0.74)]. The higher pharmacy costs incurred by rivaroxaban recipients (cost difference = $1252) were offset by lower medical costs (cost difference = − $2515, all p < 0.05) compared with warfarin recipients. Our findings suggest that rivaroxaban is safe and effective versus warfarin, and associated with lower medical costs among VTE patients with obesity.
Long short-term enhanced memory for sequential recommendation
Authors: Duan Jiasheng , Zhang Peng-Fei , Qiu Ruihong , Huang Zi 
Published: May 2022

AbstractSequential recommendation is a stream of studies on recommender systems, which focuses on predicting the next item a user interacts with by modeling the dynamic sequence of user-item interactions. Since being born to explore the dynamic tendency of variable-length temporal sequence, Recurrent Neural Networks (RNNs) have been paid much attention in this area. However, the inherent defects caused by the network structure of RNNs have limited their applications in sequential recommendation, which are mainly shown on two factors: RNNs tend to make point-wise predictions and ignore the collective dependencies because the temporal relationships between items change monotonically; RNNs are likely to forget the essential information during processing long sequences. To solve these problems, researchers have done much work to enhance the memory mechanism of RNNs. However, although previous RNN-based methods have achieved promising performance by taking advantage of external knowledge with other advanced techniques, the improvement of the intrinsic property of existing RNNs has not been explored, which is still challenging. Therefore, in this work, we propose a novel architecture based on Long Short-Term Memories (LSTMs), a broadly-used variant of RNNs, specific for sequential recommendation, called Long Short-Term enhanced Memory (LSTeM), which boosts the memory mechanism of original LSTMs in two ways. Firstly, we design a new structure of gates in LSTMs by introducing a “Q-K-V” triplet, a mechanism to accurately and properly model the correlation between the current item and the user’s historical behaviors at each time step. Secondly, we propose a “recover gate” to remedy the inadequacy of memory caused by the forgetting mechanism, which works with a dynamic global memory embedding. Extensive experiments have demonstrated that LSTeM achieves comparable performance to the state-of-the-art methods on the challenging datasets for sequential recommendation.
Role of zinc as an essential microelement for algal growth and concerns about its potential environmental risks
Authors: El-Agawany Nagwa I. , Kaamoush Mona I. A. 
Published: May 2022

AbstractThis work aims to measure the role of zinc as an essential micronutrient for algal growth and the effect of using different concentrations of this heavy metal on growth and essential metabolites of Dunaliella tertiolecta. The EC50 obtained was around 15 mg/l. The results obtained proved that lower concentrations of the element increased growth and the content of the measured metabolites (photosynthesis pigments, fatty acids, and protein) but with different responses. The increase in content of these metabolic products with low concentrations of the tested heavy metal may be attributed to inhibition to these metabolites’ export out of cells by heavy metals. The obtained infrared peaks of the major cell constituents of the treated cells revealed the emergence of new peaks and the removal of others, indicating changes in cell constituents due to changing zinc concentrations.
Industry 4.0 real-world testing of dynamic organizational life cycle assessment (O-LCA) of a ceramic tile manufacturer
Authors: Cucchi Marco , Volpi Lucrezia , Ferrari Anna Maria , García-Muiña Fernando E. , Settembre-Blundo Davide 
Published: May 2022

AbstractIn manufacturing, Industry 4.0 operating models enable greener technologies. Thanks to digital technologies, environmental sustainability and organizational competitiveness are mutually reinforcing. The challenge for manufacturing organizations is to understand and quantify the magnitude of this synergistic action, and the holistic perspective of life cycle assessment tools may be a solution to the problem. Organizational Life Cycle Assessment (O-LCA) unlike Product Life Cycle Assessment (LCA) is still an under-researched methodology with few applications in manufacturing contexts. This paper aims to fill this gap by implementing and validating O-LCA in the case of an Italian ceramic tile manufacturer. Following the O-LCA guidelines and exploiting Industry 4.0 technologies to perform the inventory analysis, the environmental assessment was conducted in three different plants, comparing the sum of the partial impact results with the overall results scaled to the whole organization. The experimental results demonstrated the validity of the organizational approach as an appropriate methodological option to obtain relevant information on environmental performance that, being based on empirical evidence, better support decision-making processes. Furthermore, the study provides empirical evidence of how Industry 4.0 is an enabler not only for the adoption of greener technologies, but especially for facilitating the organizational environmental impact assessment that is the necessary condition in order to set up and maintain greener manufacturing contexts.
Exploring data-driven service innovation—aligning perspectives in research and practice
Authors: Schymanietz Martin , Jonas Julia M. , Möslein Kathrin M. 
Published: May 2022

AbstractData collected from interconnected devices offer wide-ranging opportunities for data-driven service innovation that delivers additional or new value to organizations’ customers and clients. While previous studies have focused on traditional service innovation and servitization, few scholarly works have examined the influence of data on these two concepts. With the aim of deepening the understanding of data as a key resource for service innovation and overcoming challenges for a broader application, this study combines a systematic literature review and expert interviews. This study (a) synthesizes the various existing definitions of a data-driven service, (b) investigates attributes of data-driven service innovation, and (c) explores the corresponding organizational capabilities. The goal is to examine the repercussions of data utilization for service provision. The findings indicate that the use of data makes service innovation more complex. Data add new attributes, including a data-oriented culture; issues of data access, data ownership, privacy, and standardization; as well as the potential for new revenue models. The paper contributes to current discussions by providing an aligned perspective of theory and practice in data-driven service innovation and recommending that managers implement a culture and strategy that embraces the specifics of data usage.
Regression markets and application to energy forecasting
Authors: Pinson Pierre , Han Liyang , Kazempour Jalal 
Published: May 2022

AbstractEnergy forecasting has attracted enormous attention over the last few decades, with novel proposals related to the use of heterogeneous data sources, probabilistic forecasting, online learning, etc. A key aspect that emerged is that learning and forecasting may highly benefit from distributed data, though not only in the geographical sense. That is, various agents collect and own data that may be useful to others. In contrast to recent proposals that look into distributed and privacy-preserving learning (incentive-free), we explore here a framework called regression markets. There, agents aiming to improve their forecasts post a regression task, for which other agents may contribute by sharing their data for their features and get monetarily rewarded for it. The market design is for regression models that are linear in their parameters, and possibly separable, with estimation performed based on either batch or online learning. Both in-sample and out-of-sample aspects are considered, with markets for fitting models in-sample, and then for improving genuine forecasts out-of-sample. Such regression markets rely on recent concepts within interpretability of machine learning approaches and cooperative game theory, with Shapley additive explanations. Besides introducing the market design and proving its desirable properties, application results are shown based on simulation studies (to highlight the salient features of the proposal) and with real-world case studies.
Extending a Hand: Corruption and Solidarity with the Less Privileged Domestically and Beyond
Authors: Malmberg Fredrik G. 
Published: May 2022

AbstractSocial cohesion, often operationalized using measures of generalized social trust, has received enormous amounts of attention in previous scholarly work. However, another dimension of this broad phenomenon, norms of social solidarity, has meanwhile largely been overlooked in previous research. This study analyzes the association between micro-perceptions of corruption and solidarity with the less privileged both domestically and beyond, and how this association might vary across different societies with different types and forms of corruption. The data come from ISSP Citizenship II and include 33 countries, analyzed with multilevel regression models. The results show that the link between individual corruption perceptions and global solidarity varies so that it is comparatively weak and positive in contexts judged as more corrupt according to the Corruption Perception Index, while it is strong and negative in contexts judged by experts as relatively corruption free. For domestic solidarity, in turn, there is some evidence of a comparatively weak positive association but no significant contextual variations.
Patiëntgerapporteerde uitkomsten van transgender mannen na genitale genderbevestigende chirurgie met versus zonder plasbuisverlenging
Authors: van Leeuwen Joost W. , de Rooij Freek P. W. , Bouman Mark-Bram , Pigot Garry L. S. 
Published: May 2022

SamenvattingIn dit onderzoek is een vergelijking gemaakt tussen patiëntgerapporteerde uitkomsten (PRO’s) van transgender mannen na genitale genderbevestigende chirurgie (gGBC) met versus zonder plasbuisverlenging. Tevens is gezocht naar voorspellers van postoperatieve patiënttevredenheid. Hiertoe is een niet-gevalideerde vragenlijst verstuurd naar transgender mannen ≥ 1 jaar na gGBC. Vergelijking vond plaats op groepsniveau. Voorspellers van postoperatieve patiënttevredenheid zijn onderzocht door middel van lineaire regressieanalyse. Er zijn geen significante verschillen gevonden in PRO’s. Het merendeel van de deelnemers was (zeer) tevreden met hun leven (75%), het uiterlijk van de neofallus (66%), plassen (59%), het effect op hun mannelijkheid (82%) en het resultaat in vergelijking met de verwachtingen (61%). De mate waarin de deelnemers tevreden waren met het uiterlijk van de neofallus (p < 0,001) en de mictie (p = 0,02) was positief geassocieerd met de patiënttevredenheid tijdens de follow-up. Er werden geen verschillen gevonden in PRO’s na gGBC met of zonder plasbuisverlenging. De tevredenheid met het uiterlijk van de neofallus en de mictie waren positief geassocieerd met postoperatieve patiënttevredenheid.
Comprehensive Analysis of Ubiquitously Expressed Genes in Humans from a Data-Driven Perspective
Authors: Gu Jianlei , Dai Jiawei , Lu Hui , Zhao Hongyu 
Published: May 2022

Abstract
Comprehensive characterization of spatial and temporal gene expression patterns in humans is critical for uncovering the regulatory codes of the human genome and understanding the molecular mechanisms of human diseases. Ubiquitously expressed genes (UEGs) refer to the genes expressed across a majority of, if not all, phenotypic and physiological conditions of an organism. It is known that many human genes are broadly expressed across tissues. However, most previous UEG studies have only focused on providing a list of UEGs without capturing their global expression patterns, thus limiting the potential use of UEG information. In this study, we proposed a novel data-driven framework to leverage the extensive collection of ∼ 40,000 human transcriptomes to derive a list of UEGs and their corresponding global expression patterns, which offers a valuable resource to further characterize human transcriptome. Our results suggest that about half (12,234; 49.01%) of the human genes are expressed in at least 80% of human transcriptomes, and the median size of the human transcriptome is 16,342 genes (65.44%). Through gene clustering, we identified a set of UEGs, named LoVarUEGs, which have stable expression across human transcriptomes and can be used as internal reference genes for expression measurement. To further demonstrate the usefulness of this resource, we evaluated the global expression patterns for 16 previously predicted disallowed genes in islet beta cells and found that seven of these genes showed relatively more varied expression patterns, suggesting that the repression of these genes may not be unique to islet beta cells.
The good side of authoritarian leaders: leader in the eyes of the subordinates
Authors: Asad Hajra , Butt Arif Nazir , Malik Abdur Rahman 
Published: May 2022

AbstractAlthough subordinate's perception of authoritarian leadership is viewed derogatively in the leadership literature, limited studies still claim that it can positively influence subordinate's performance. Drawing from the attribution theory, we hypothesize and demonstrate that subordinate's perception of authoritarian leadership can have a positive, indirect effect on subordinate task performance through the subordinate-attributed performance promotion motive, but only when the subordinate's perception of leader's expert power is high. We found support for our hypothesized model using multisource data collected from 246 subordinates and 76 supervisors from 11 different private sector organizations in Pakistan.
Daily v. weekly oral vitamin D3 therapy for nutritional rickets in Indian children: a randomised controlled open-label trial
Authors: Dabas Aashima , Dabas Vineet , Dabla Pradeep Kumar , Marwaha Raman Kumar , Yadav Sangeeta , Bharadwaj Madhavi , Tyagi Vernika , Agrawal Shipra 
Published: May 2022

AbstractThe aim of the study was to compare the efficacy of daily v. weekly oral vitamin D3 therapy in radiological healing of nutritional rickets. Children 6 months to 12 years (n 132) diagnosed with nutritional rickets were randomised into three groups (n 44): group A – 2000 IU daily vitamin D3 for 12 weeks, B – 60 000 IU weekly for 3 weeks, C – 60 000 IU weekly for 6 weeks. Serum calcium, phosphorus, 25-hydroxyvitamin D (25(OH)D), parathyroid hormone and X-ray score were estimated at baseline and 12 weeks (endline). The proportion of children who achieved complete radiological healing at endline was compared between three groups by χ2 and delta change in laboratory parameters by ANOVA (parametric data) or Kruskal Wallis test (non-parametric data), respectively. Baseline 25(OH)D ≤ 20 ng/ml was seen in 119 (90·2 %), hyperparathyroidism in 90 (68·8 %) and hypocalcaemia in 96 (72·7 %). A total of 120/132 children completed the study. Complete radiological healing seen in 30 (75 %) in group A, 23 (60·5 %) in group B and 26 (61·9 %) in group C; P = 0·15, with comparable endline X-ray scores; P = 0·31. The median (interquartile range (IQR)) delta X-ray score (baseline–endline) was 7 (4,9), 5 (2·25, 6) and 6 (4,7) in groups A, B and C, respectively; P = 0·019. Median (IQR) 25(OH)D endline levels in groups A, B and C were 50·0 (26·5, 66·5), 42·1 (28·4, 54·4) and 53·5 (33·7, 71·2) ng/ml, respectively; P = 0·045. Radiological scores were comparable at endline among daily and weekly vitamin D groups with greater change from baseline in daily supplemented group.
The Overturning ofRoe v. Wade: Are Abortion Rights in Canada Vulnerable?
Authors: Macfarlane Emmett 
Published: May 2022

AbstractThe revelation, via a leaked draft, that the Supreme Court of the United States was going to overturn the landmark decision inRoe v. Wade(1973) sparked immediate questions about whether a similar retrenchment of abortion rights could occur in Canada. Key legal, structural, and political cultural factors mitigate the forces of American-style erosion of norms on the Supreme Court of Canada and in our broader politics surrounding abortion rights. Despite this generally optimistic comparative context, complacency about the status of abortion rights in Canada would be unwise. This short Currents article canvasses factors crucial for not only preserving the policy status quo in criminal law (that is, the absence of criminal law abortion regulation in Canada), but also for advancing the scope of abortion rights in the positive sense, as serious barriers to access persist at the provincial level.
Women and the History of Samuel Pepys's Diary
Authors: Loveman Kate 
Published: May 2022

AbstractThrough focusing on the lives of women, this article examines silences and obfuscations in Samuel Pepys's diary and in the histories we tell about this most famous of Restoration sources. It begins by considering how the ways we read the diary today remain influenced by Pepys's decisions when preserving his papers. While his diary has increasingly been studied for what it reveals about early modern sex and/or women's lives, historians have faced difficulties in assessing and representing this content, partly because of measures devised by Pepys. Knowledge of his methods, together with close reading, can help us attend to what this source omits and elides. Historiography has often followed Pepys's lead when discussing his diary's sexual content, and it has also followed his lead in researching his kin. His father's family has been tracked over generations; meanwhile, basic facts about his mother and her family have remained unknown. The article traces Pepys's maternal kin, comparing new evidence with the diary's representation of social status and kinship networks. Pepys's diary is a vital source on the seventeenth century, but fully exploiting that source requires factoring in Pepys's methods of writing and preservation, and attending to what has gone unwritten.
Practical consequences of flawed social psychological research on bias
Authors: Arkes Hal R. 
Published: May 2022

AbstractThe flaws in social psychological research pointed out by Cesario have societal costs. These include ignoring crucial base rates thereby degrading the effectiveness of policy decisions, generalizing the conclusions derived from experiments on non-professionals thereby distorting the public's view of professional law enforcement personnel, questionable accusations of racism, and mis-attributions of the causes of racial differences in behavior.
The missing consequences: A fourth flaw of experiments
Authors: Biggs Adam Thomas 
Published: May 2022

AbstractDecisions are affected by the potential consequences as much as any factor during the decision-making process. This prospective influence represents another flaw overlooked by most experiments that raises questions about the use of certain laboratory paradigms. Lethal force encounters are a prime example of this problem, where negative consequences of slow decisions and wrong decisions should be considered alongside behavior.
Accuracy in social judgment does not exclude the potential for bias
Authors: Freeman Jonathan B. , Johnson Kerri L. , Stroessner Steven J. 
Published: May 2022

AbstractCesario claims that all bias research tells us is that people “end up using the information they have come to learn as being probabilistically accurate in their daily lives” (sect. 5, para. 4). We expose Cesario's flawed assumptions about the relationship between accuracy and bias. Through statistical simulations and empirical work, we show that even probabilistically accurate responses are regularly accompanied by bias.
Developmental research assessing bias would benefit from naturalistic observation data
Authors: Rennels Jennifer L. , Insouvanh Kindy 
Published: May 2022

AbstractCesario's critiques and suggestions for redesigning social psychology experiments echo Dahl's (2017) call for developmental researchers to use experimental and naturalistic methods in a complementary manner for understanding children's development. We provide examples of how naturalistic observations can rectify Cesario's missing flaws for developmental studies investigating children's social biases and help researchers derive theories they can then experimentally test.