bluuebunny/crossref_metadata_2025_split huggingface dataset:
Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions
Authors: Atanasiu Vlad , Marthot-Santaniello Isabelle 
Published: December 2021

AbstractThis article develops theoretical, algorithmic, perceptual, and interaction aspects of script legibility enhancement in the visible light spectrum for the purpose of scholarly editing of papyri texts. Novel legibility enhancement algorithms based on color processing and visual illusions are compared to classic methods in a user experience experiment. (1) The proposed methods outperformed the comparison methods. (2) Users exhibited a broad behavioral spectrum, under the influence of factors such as personality and social conditioning, tasks and application domains, expertise level and image quality, and affordances of software, hardware, and interfaces. No single enhancement method satisfied all factor configurations. Therefore, it is suggested to offer users a broad choice of methods to facilitate personalization, contextualization, and complementarity. (3) A distinction is made between casual and critical vision on the basis of signal ambiguity and error consequences. The criteria of a paradigm for enhancing images for critical applications comprise: interpreting images skeptically; approaching enhancement as a system problem; considering all image structures as potential information; and making uncertainty and alternative interpretations explicit, both visually and numerically.
An efficient and scalable search engine for models
Authors: López José Antonio Hernández , Cuadrado Jesús Sánchez 
Published: December 2021

AbstractSearch engines extract data from relevant sources and make them available to users via queries. A search engine typically crawls the web to gather data, analyses and indexes it and provides some query mechanism to obtain ranked results. There exist search engines for websites, images, code, etc., but the specific properties required to build a search engine for models have not been explored much. In the previous work, we presented MAR, a search engine for models which has been designed to support a query-by-example mechanism with fast response times and improved precision over simple text search engines. The goal of MAR is to assist developers in the task of finding relevant models. In this paper, we report new developments of MAR which are aimed at making it a useful and stable resource for the community. We present the crawling and analysis architecture with which we have processed about 600,000 models. The indexing process is now incremental and a new index for keyword-based search has been added. We have also added a web user interface intended to facilitate writing queries and exploring the results. Finally, we have evaluated the indexing times, the response time and search precision using different configurations. MAR has currently indexed over 500,000 valid models of different kinds, including Ecore meta-models, BPMN diagrams, UML models and Petri nets. MAR is available at http://mar-search.org.
Psychophysiological and Psychosocial Profile of Patients Attending Drug Addiction Centers
Authors: Clemente-Suárez Vicente Javier , Ruisoto Pablo , Isorna-Folgar Manuel , Cancelo-Martínez Jesús , Beltrán-Velasco Ana Isabel , Tornero-Aguilera José Francisco 
Published: December 2021

AbstractDrug treatment centres provide the highest level of rehab services for patients diagnosed with drug addictions. Most inpatient drug rehab programs focus on medical detox and mental health interventions. However, how to optimize the later remains a challenge. The aim of this study was to examine the psychophysiological and psychosocial profile of patients attending drug addiction centres in comparation with the general population. A total of 105 inpatient drug rehab patients and 50 participants from the general population were compared based on standardized psychophysiological and psychosocial measures. Results of this study suggest that patients attending drug addiction centers differ from general population in several different psychophysiological and psychosocial factors. Patients reported significantly lower levels of physical activity and increased sympathetic responsiveness, and significantly higher levels in loneliness, psychologically inflexibility and neuroticism. The results of this study highlight the importance of address healthy lifestyle behaviors such as sport practice and psychological variables such as loneliness, psychological (in)flexibility and neuroticism to improve current programs aim to prevent or reduce problematic drug consumptions.
Pollutant Concentration Changes During the COVID-19 Lockdown in Barcelona and Surrounding Regions: Modification of Diurnal Cycles and Limited Role of Meteorological Conditions
Authors: García-Dalmau Miguel , Udina Mireia , Bech Joan , Sola Yolanda , Montolio Joan , Jaén Clara 
Published: December 2021

AbstractOne of the consequences of the COVID-19 lockdowns has been the modification of the air quality in many cities around the world. This study focuses on the variations in pollutant concentrations and how important meteorological conditions were for those variations in Barcelona and the surrounding area during the 2020 lockdown. Boundary-layer height, wind speed, and precipitation were compared between mid-March and April 2016–2019 (pre-lockdown) and the same period in 2020 (during lockdown). The results show the limited influence of meteorological factors on horizontal and vertical dispersion conditions. Compared with the pre-lockdown period, during lockdown the boundary-layer height slightly increased by between 5% and 9%, mean wind speed was very similar, and the fraction of days with rainfall increased only marginally, from 0.33 to 0.34, even though April 2020 was extremely wet in the study area. Variations in nitrogen dioxide ($$\hbox {NO}_{{2}}$$

NO
2

), particulate matter with a diameter less than 10 $${\mu }$$
μ
m (PM10), and ozone ($$\hbox {O}_{{3}}$$

O
3

) concentrations over a 10-year period showed a 66% reduction in $$\hbox {NO}_{{2}}$$

NO
2

, 37% reduction in PM10, and 27% increase in $$\hbox {O}_{{3}}$$

O
3

at a traffic station in Barcelona. The differences in the daily concentration cycle between weekends and weekdays were heavily smoothed for all pollutants considered. The afternoon $$\hbox {NO}_{{2}}$$

NO
2

peak at the traffic station was suppressed compared with the average daily cycle. The analysis of ozone was extended to the regional scale, revealing lower concentrations at rural sites and higher ones in urban zones, especially in Barcelona and the surrounding area. The results presented not only complement previous air quality COVID-19 lockdown studies but also provide insights into the effects of road-traffic reduction.
The Costs and Labour of Whistleblowing: Bodily Vulnerability and Post-disclosure Survival
Authors: Kenny Kate , Fotaki Marianna 
Published: December 2021

AbstractWhistleblowers are a vital means of protecting society because they provide information about serious wrongdoing. And yet, people who speak up can suffer. Even so, debates on whistleblowing focus on compelling employees to come forward, often overlooking the risk involved. Theoretical understanding of whistleblowers’ post-disclosure experience is weak because tangible and material impacts are poorly understood due partly to a lack of empirical detail on the financial costs of speaking out. To address this, we present findings from a novel empirical study surveying whistleblowers. We demonstrate how whistleblowers who leave their role as a result of speaking out can lose both the financial and temporal resources necessary to redevelop their livelihoods post-disclosure. We also show how associated costs involving significant legal and health expenditure can rise. Based on these insights, our first contribution is to present a new conceptual framing of post-disclosure experiences, drawing on feminist theory, that emphasizes the bodily vulnerability of whistleblowers and their families. Our second contribution repositions whistleblowing as a form of labour defending against precarity, which involves new expenses, takes significant time, and often must be carried out with depleted income. Bringing forth the intersubjective aspect of the whistleblowing experience, our study shows how both the post-disclosure survival of whistleblowers, and their capacity to speak, depend on institutional supports or, in their absence, on personal networks. By reconceptualizing post-disclosure experiences in this way—as material, embodied and intersubjective—practical implications for whistleblower advocacy and policy emerge, alongside contributions to theoretical debates. Reversing typical formulations in business ethics, we turn extant debates on the ethical duty of employees to speak up against wrongdoing on their heads. We argue instead for a responsibility to protect whistleblowers exposed to vulnerability, a duty owed by those upon whose behalf they speak.
A multidisciplinary perspective on the complex interactions between sleep, circadian, and metabolic disruption in cancer patients
Authors: Jensen Lasse D. , Oliva Delmy , Andersson Bengt-Åke , Lewin Freddi 
Published: December 2021

AbstractSleep is a basic need that is frequently set aside in modern societies. This leads to profound but complex physiological maladaptations in the body commonly referred to as circadian disruption, which recently has been characterized as a carcinogenic factor and reason for poor treatment outcomes, shortened survival, and reduced quality of life in cancer patients. As sleep and circadian physiology in cancer patients spans several disciplines including nursing science, neurology, oncology, molecular biology and medical technology, there is a lack of comprehensive and integrated approaches to deal with this serious and growing issue and at best a fractionated understanding of only part of the problem among researchers within each of these segments. Here, we take a multidisciplinary approach to comprehensively review the diagnosis and impact of sleep and circadian disruption in cancer patients. We discuss recent discoveries on molecular regulation of the circadian clock in healthy and malignant cells, the neurological and endocrine pathways controlling sleep and circadian rhythmicity, and their inputs to and outputs from the organism. The benefits and drawbacks of the various technologies, devices, and instruments used to assess sleep and circadian function, as well as the known consequences of sleep disruption and how sleep can be corrected in cancer patients, will be analyzed. We will throughout the review highlight the extensive crosstalk between sleep, circadian rhythms, and metabolic pathways involved in malignancy and identify current knowledge gaps and barriers for addressing the issue of sleep and circadian disruption in cancer patients. By addressing these issues, we hope to provide a foundation for further research as well as better and more effective care for the patients in the future.
Climate data and information needs of indigenous communities on reservation lands: insights from stakeholders in the Southwestern United States
Authors: Fillmore Helen , Singletary Loretta 
Published: December 2021

AbstractIndigenous communities on reservation lands across the USA continue to demonstrate their leadership in climate resilience through active engagement in co-producing interdisciplinary solutions to adaptation. These initiatives, however, often ask Indigenous peoples to provide knowledge and resources to assist with adaptation efforts beyond their communities, which can limit their capacity to act locally. Trusting their expertise, we utilize a participatory research approach that asks tribal government employees, agriculturalists, researchers, and outreach professionals to prioritize the climate information and data they perceive as necessary to enhance the climate resilience of water resources of Indigenous communities. In doing so, this study provides empirical evidence specific to the climate adaptation needs of Indigenous communities on reservation lands in the arid southwestern USA. Study respondents prioritize climate information and data that serve to assess local climate change impacts, enhance food security, and integrate and protect the traditional knowledge of their communities. In this arid and predominantly rural region, respondents prioritize water quality data as their highest need followed by streamflow and air temperature data. They most frequently access their respective tribal government sources of climate information and data. These results indicate that localized climate data and information are highly prioritized. Future research and action to alleviate information and data gaps should account for the relevance, accessibility, and protection of these resources while prioritizing methods that ensure Indigenous sovereignty and self-determination rather than knowledge extraction.
Investor Characteristics and their Impact on the Decision to use a Robo-advisor
Authors: Oehler Andreas , Horn Matthias , Wendt Stefan 
Published: December 2021

AbstractWe survey 231 undergraduate students to analyze how retail investors’ characteristics influence their decision to use a robo-advisor. Characteristics such as the willingness to take risk, extraversion, and optimism are significant in univariate tests but the willingness to take risk and the internal locus of control are significant in multivariate settings. Participants who use the robo-advisor invest more and are more likely to also invest on their own in both stocks and bonds. We also find statistically significant differences between participants who exclusively use the robo-advisor for investments in stocks and bonds and participants who use the robo-advisor and invest some money in stocks and bonds on their own.
Impact of a Training Programme on the e-rubric Evaluation of Gamification Resources with Pre-Service Secondary School Science Teachers
Authors: Franco-Mariscal Antonio-Joaquín , Cebrián-Robles Daniel , Rodríguez-Losada Noela 
Published: December 2021

AbstractSocial constructivism is a learning approach in which students actively construct their own knowledge by way of experiences and interactions with others. As such, it is important to highlight both individual and group-based reflection practices in pre-service teacher training as a key aspect for improving teaching practice. This paper presents the results of the design and implementation of a training programme of 7 sessions (8.5 h of class participation plus 25 h of personal homework) for pre-service secondary school science teachers, who were asked to design a gamification resource and an e-rubric to evaluate it. Subsequent improvement of this e-rubric was enhanced by performing different reflection activities at key moments. The programme was carried out by 50 Spanish pre-service teachers from Málaga (Spain). Data collection centred on the e-rubrics designed, the emotions experienced and the possible transfer to real-life practice performed six months later. The impact of reflections on the evaluation was studied by analysing the evolution of the categories proposed by the participants for the e-rubric at different times, with marked changes being found during design and preparation of the gamification resource, and only very minor changes post-implementation. In addition, a group-based criteria consensus session favoured a more in-depth reflection. Interest was the main emotion experienced by pre-service teachers, especially during preparation and use of the resource. The programme also had a marked impact on transfer of the e-rubric into practice, as did the designed resource, although to a lesser extent.
Electrochemical and quantum chemical study to assess the role of (2E)-2-(furan-2-ylmethylidene) hydrazine carbothioamide as inhibitor for acid corrosion of mild steel
Authors: Adinarayanan V. R. , Kumari P. Preethi , Rao Suma A. 
Published: December 2021

AbstractSynthesis and inhibition effectiveness of (2E)-2-(furan-2-ylmethylidene) hydrazine carbothioamide (FMHC) as an inhibitor for corrosion of mild steel in 0.5 M H2SO4 is reported. Experiments were conducted at various temperatures (303–323 K) by adopting potentiodynamic polarization and electrochemical impedance spectroscopy. Readings obtained demonstrated that percentage inhibition efficiency (% IE) improved with the upsurge in the concentration of FMHC, while it decreased with a rise in temperature. The highest % IE observed was 60% for 2.5 × 10–4 M FMHC at 303 K. FMHC worked moderately as a mixed inhibitor. FMHC obeyed the Langmuir model of adsorption and the mode of adsorption was physisorption on the mild steel surface which was further endorsed by examining the surface using the scanning electron microscope. A clear insight into the mechanistic features of corrosion inhibition by using FMHC was acquired. Calculation of activation parameters helped to suggest an appropriate mechanism for the adsorption of FMHC on mild steel through quantum chemical calculations using density functional theory (DFT).
Graphical abstract
Parallel approach of Schrödinger-based quantum corrections for ultrascaled semiconductor devices
Authors: Espiñeira Gabriel , García-Loureiro Antonio J. , Seoane Natalia 
Published: December 2021

AbstractIn the current technology node, purely classical numerical simulators lack the precision needed to obtain valid results. At the same time, the simulation of fully quantum models can be a cumbersome task in certain studies such as device variability analysis, since a single simulation can take up to weeks to compute and hundreds of device configurations need to be analyzed to obtain statistically significative results. A good compromise between fast and accurate results is to add corrections to the classical simulation that are able to reproduce the quantum nature of matter. In this context, we present a new approach of Schrödinger equation-based quantum corrections. We have implemented it using Message Passing Interface in our in-house built semiconductor simulation framework called VENDES, capable of running in distributed systems that allow for more accurate results in a reasonable time frame. Using a 12-nm-gate-length gate-all-around nanowire FET (GAA NW FET) as a benchmark device, the new implementation shows an almost perfect agreement in the output data with less than a 2% difference between the cases using 1 and 16 processes. Also, a reduction of up to 98% in the computational time has been found comparing the sequential and the 16 process simulation. For a reasonably dense mesh of 150k nodes, a variability study of 300 individual simulations can be now performed with VENDES in approximately 2.5 days instead of an estimated sequential execution of 137 days.
How to foster innovation in SMEs: evidence of the effectiveness of a project-based technology transfer approach
Authors: Hilkenmeier Frederic , Fechtelpeter Christian , Decius Julian 
Published: December 2021

AbstractOne of the main challenges in technology transfer is to actively involve small and medium-sized enterprises (SMEs)—which are most in need of and benefit the most from collaborative Research and Development (R&D) programs. This study presents a large-scale collaboration program which focuses on project-based technology transfer in SMEs with little to no prior experience in collaborative research projects. The core of this collaboration program is the temporary secondment of scientists from a Research and Technology Organization (RTO) into an SME to jointly work on a practical project objective—which is directly tailored to the demands of the SME. To evaluate the effectiveness of this approach in overcoming barriers related to finding the right collaboration partner, limited resources, and limited absorptive capabilities, we adopt the R&D Lifecycle Model as a theoretical framework. Our findings, using self-reported and objective data from 106 different projects in a structural equation model, highlight that most SMEs in the considered cluster environment not only successfully mastered a challenging topic in the context of industry 4.0 that immediately benefits the organization, but also engaged in new R&D projects to strengthen their scientific and technical human capital in the long term. Moreover, consistent with previous literature, we found that trust is the main driver within the R&D Lifecycle Model both in building capabilities and economic growth. Based on these insights, we consider a long and close secondment of scientists to SMEs as key for collaboration projects and discuss implications for research and future technology transfer approaches.
Transition Therapy: Tackling the Ecology of Tumor Phenotypic Plasticity
Authors: Aguadé-Gorgorió Guim , Kauffman Stuart , Solé Ricard 
Published: December 2021

AbstractPhenotypic switching in cancer cells has been found to be present across tumor types. Recent studies on Glioblastoma report a remarkably common architecture of four well-defined phenotypes coexisting within high levels of intra-tumor genetic heterogeneity. Similar dynamics have been shown to occur in breast cancer and melanoma and are likely to be found across cancer types. Given the adaptive potential of phenotypic switching (PHS) strategies, understanding how it drives tumor evolution and therapy resistance is a major priority. Here we present a mathematical framework uncovering the ecological dynamics behind PHS. The model is able to reproduce experimental results, and mathematical conditions for cancer progression reveal PHS-specific features of tumors with direct consequences on therapy resistance. In particular, our model reveals a threshold for the resistant-to-sensitive phenotype transition rate, below which any cytotoxic or switch-inhibition therapy is likely to fail. The model is able to capture therapeutic success thresholds for cancers where nonlinear growth dynamics or larger PHS architectures are in place, such as glioblastoma or melanoma. By doing so, the model presents a novel set of conditions for the success of combination therapies able to target replication and phenotypic transitions at once. Following our results, we discuss transition therapy as a novel scheme to target not only combined cytotoxicity but also the rates of phenotypic switching.