bluuebunny/crossref_metadata_2025_split huggingface dataset:
Online learning challenges in Thailand and strategies to overcome the challenges from the students’ perspectives
Authors: Aroonsrimarakot Sayam , Laiphrakpam Meena , Chathiphot Pokkasina , Saengsai Prayoon , Prasri Sirorat 
Published: December 2022

AbstractRecently, at the end of 2019, the whole world was affected by the outbreak of COVID − 19 disease, which has caused massive disruption of the normal teaching and learning process worldwide, including Thailand’s educational system. This sudden shift of the educational processes to online learning and teaching has caused many challenges as teachers, learners, and educational institutes are not well-prepared, especially in developing countries like Thailand. This research used a mixed-methods approach, quantitative and qualitative data, in which a google form survey questionnaire was designed in both English and Thai language to 1). investigate Thai students’ perceptions of the online learning experience; 2). assess factors that cause challenges in online learning in Thailand; 3). find out strategies for improvement and overcome the challenges. For the sample of the study, 465 students were selected purposively from two public Universities in Thailand due to convenience for collecting data as two co-researchers were teaching in these universities. Results identified major challenges such as the temptation to see other sites, difficulty in understanding the lesson context, poor internet connectivity, difficulty in time management, difficulty in attending the online examination, poor quality of learning experience, low interest/motivation, difficulty in selecting the area at home, difficulty in doing work assignment/task, and distraction at home learning environment. Among the identified factors for these challenges were distraction due to noise and poor learning environment at home, teacher’s incompetency due to technical, poor teaching skills, unstructured content or no follow-up, and technological constraint affecting the quality of audio/video uploaded connectivity, technical issue or data limit. Students also suggested strategies to overcome online learning challenges such as improvement in evaluation, connectivity, interactivity, content and accessing materials. The study concluded that all these factors and strategies should be considered for the effective implementation of the online education system in Thailand.
In situ and ex situ conservation gap analyses of West African priority crop wild relatives
Authors: Nduche M. U. , Magos Brehm J. , Parra-Quijano M. , Maxted N. 
Published: December 2022

AbstractCrop wild relatives are genetically related wild taxa of crops with unique resources for crop improvement through the transfer of novel and profitable genes. The in situ and ex situ conservation gap analyses for priority crop wild relatives from West Africa were evaluated using species distribution modelling, ecogeographic diversity, and complementary analyses. A total of 20, 125 unique occurrence records were used for the conservation gap analysis, however, 26 taxa had no occurrence data. 64 taxa (62.7%) occurred in protected areas, 56 taxa (55%) were conserved ex situ, while 76.7% (43) of the accessions are underrepresented with less than 50 accessions conserved ex situ. Areas of highest potential diversity were found in the Woroba and Montangnes districts in Cote d’Ivoire, Nzerekore, Faranah, Kindia, and Boke regions of Guinea, South-South, and North-East zones of Nigeria, and Kono and Koinadugu districts in Sierra Leone. Hotspots were found in Atlantique, Littoral, Mono, Kouffo, Atakora, Donga, and Colline provinces of Benin, Accra, and Volta regions of Ghana, North–Central Nigeria, and Lacs district of Cote d’Ivoire and Nzerekore region of Guinea. 29 reserve sites for active in situ conservation were identified, 11 occur in protected areas, while 18 are located outside protected areas. The establishment of the reserve sites will complement existing PAs and ensure long-term active in situ and ex situ conservation and sustainable utilization of priority crop wild relative to underpin food security and mitigate climate change in the region.
How to derive ethically appropriate recommendations for action? A methodology for applied ethics
Authors: Schleidgen Sebastian , Kremling Alexander , Mertz Marcel , Kuehlmeyer Katja , Inthorn Julia , Haltaufderheide Joschka 
Published: December 2022

AbstractResearchers in applied ethics, and some areas of bioethics particularly, aim to develop concrete and appropriate recommendations for action in morally relevant real-world situations. When proceeding from more abstract levels of ethical reasoning to such concrete recommendations, however, even with regard to the very same normative principle or norm, it seems possible to develop divergent or even contradictory recommendations for action regarding a certain situation. This may give the impression that such recommendations would be arbitrary and, hence, not well justified. Against this background, we, first, aim at showing that ethical recommendations for action, although being contingent in some sense, are not arbitrary if developed appropriately. For this purpose, we examine two types of contingencies arising in applied ethics reasoning based on recent examples of recommendations for action in the context of the COVID-19 pandemic. In doing so, we refer to a three-step model of ethical reasoning towards recommendations for actions. This, however, leaves open the question of how applied ethics may cope with contingent recommendations for action. Therefore, in a second step, we analyze the role of bridge principles for developing ethically appropriate recommendations for action, i.e., principles which connect normative claims with relevant empirical information to justify certain recommendations for action in a given morally relevant situation. Finally, we discuss some implications for reasoning and reporting in empirically informed ethics.
Air pollution and mobility patterns in two Ugandan cities during COVID-19 mobility restrictions suggest the validity of air quality data as a measure for human mobility
Authors: Galiwango Ronald , Bainomugisha Engineer , Kivunike Florence , Kateete David Patrick , Jjingo Daudi 
Published: December 2022

AbstractWe explored the viability of using air quality as an alternative to aggregated location data from mobile phones in the two most populated cities in Uganda. We accessed air quality and Google mobility data collected from 15th February 2020 to 10th June 2021 and augmented them with mobility restrictions implemented during the COVID-19 lockdown. We determined whether air quality data depicted similar patterns to mobility data before, during, and after the lockdown and determined associations between air quality and mobility by computing Pearson correlation coefficients ($$R$$
R
), conducting multivariable regression with associated confidence intervals (CIs), and visualized the relationships using scatter plots. Residential mobility increased with the stringency of restrictions while both non-residential mobility and air pollution decreased with the stringency of restrictions. In Kampala, PM2.5 was positively correlated with non-residential mobility and negatively correlated with residential mobility. Only correlations between PM2.5 and movement in work and residential places were statistically significant in Wakiso. After controlling for stringency in restrictions, air quality in Kampala was independently correlated with movement in retail and recreation (− 0.55; 95% CI =  − 1.01– − 0.10), parks (0.29; 95% CI = 0.03–0.54), transit stations (0.29; 95% CI = 0.16–0.42), work (− 0.25; 95% CI =  − 0.43– − 0.08), and residential places (− 1.02; 95% CI =  − 1.4– − 0.64). For Wakiso, only the correlation between air quality and residential mobility was statistically significant (− 0.99; 95% CI =  − 1.34– − 0.65). These findings suggest that air quality is linked to mobility and thus could be used by public health programs in monitoring movement patterns and the spread of infectious diseases without compromising on individuals’ privacy.
Arts, place, and sacrifice zones: restoration of damaged relational values in a Chilean sacrifice zone
Authors: Sanz Teresa , Rodríguez-Labajos Beatriz 
Published: December 2022

AbstractThis paper aims to unpack the relational dimension of place and placemaking by analysing how creative actions underpin relational values towards socio-spatial restoration in the sacrifice zone affecting the communities of Quintero and Puchuncaví (QPSZ) in Chile. Sacrifice zones are places permanently subject to environmental damage and lack of environmental regulation. For affected populations in environmentally degraded areas, creative actions such as murals, music, and street performances have become a way to re-establish connections both among humans, and between humans and the environment. To date, little has been theorized on this connection. With this in mind, we use network analysis to analyze which and how relational values are mobilized by artistic actions, and to examine ensuing socio-spatial transformations. Drawing insights from 35 interviews with activists, artists, and residents in QPSZ, we observed relational effects of arts, especially in creation processes, and in representations of local elements and life histories. The materiality of artistic practices raised as a force of placemaking, and so did artistic spaces as promoters of networking and social cohesion, essential for socio-spatial restoration. By bringing together insights from aesthetic politics, human geography, and relational values, this paper contributes to the emerging literature on art committed to tackling socio-environmental crises, and to political–ecological theories on the transformation of degraded areas.
Cascaded heat merit order for industrial energy systems to evaluate district heating potential
Authors: Kohne Thomas , Scherff Jan Niklas , Weigold Matthias 
Published: December 2022

AbstractIndustrial companies are undergoing a transformation to decrease energy costs and reduce emissions. The integration of renewables, sector coupling technologies, and industrial waste heat lead to complex interconnected industrial energy systems. As district heating systems play a decisive role for the integration of industrial waste heat in the building sector, barriers must be analyzed to overcome the gap between waste heat potential and waste heat use. Although data from production systems and their on-site energy supply are becoming available in the ongoing process of digitization, information deficits can be identified as one of the main barriers to couple industrial energy systems with district heating. We present a data-based methodology to evaluate the potential of industrial energy systems for connecting to district heating systems. Data from production systems, energy converters, thermal networks and necessary parameters of district heating systems are merged into a data model to determine a cascaded heat merit order and indicators for the energetic, economic and ecological potential. To set up the cascaded heat merit order, an algorithm for balancing complex industrial energy systems is integrated within the data model. In a case study, we apply the methodology to data of an industrial site. Besides increasing transparency through visualization of the cascaded heat merit order and corresponding indicators, the results show a base load potential of up to 0.8 MW over a year.
Brazilian Beach-Cast Seaweeds: Antioxidant, Photoprotection and Cytotoxicity Properties
Authors: Harb Talissa Barroco , Vega Julia , Bonomi-Barufi José , Casas Virginia , Abdala-Díaz Roberto , Figueroa Félix L. , Chow Fungyi 
Published: December 2022

Abstract
The potential of seaweed extracts in cosmetic applications have increased with novel development and market. Beneficial biological properties include the ability to struggle aging and anticancer agents. This research aimed to evaluate antioxidant, photoprotective and cytotoxic properties of extracts from beach-cast seaweed species from the Brazilian coast in order to propose an appropriate use of this sustainable resource. Analysis of antioxidant capacity, UV/VIS absorption, quantification of UV photoprotectors, total content of C, N and S, development of cosmetic creams and evaluation of the cytotoxicity activity against tumoral cells lines were performed. The highest antioxidant capacity was found in extracts of brown seaweeds, followed by red seaweeds, with the lowest activity detected in the green seaweed. Same pattern was observed for phenolic compounds. The extracts did not show cytotoxicity activity against healthy human cells. Other forms of extraction and incorporation of the extract into the base creams should be evaluated, the isolation and purification of substances could increase the efficiency of the photoprotective capacity. The species were highly promising and proved to be natural sources of antioxidants and substances with cytotoxicity activity against tumoral cells; therefore, they could be exploited as functional ingredients with specific applications for different types of industries. The application of seaweed extracts in combination with other natural ingredients can help in the design of new cosmetics against the negative effects of UV radiation, in addition to having the great advantage of not presenting toxicity to health or the environment because they are biodegradable.

Graphical Abstract
Urban sustainability and resilience: What the literature tells us about “lock-ins”?
Authors: Buzási Attila , Csizovszky Anna 
Published: December 2022

AbstractInherited system features and challenges that can hinder urban planning initiatives must be taken into consideration before a path towards a sustainable future can be established. By putting the lock-in effect under scrutiny, it is possible to gain valuable insight to emphasize positive lock-ins and to prevent maladaptation and unsustainable solutions. This paper aims to review the current trends of urban studies regarding sustainability, resilience, and the lock-in effect, focusing on both hot topics and mutual integration by following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Reviews (PRISMA-ScR protocol) and analyzing the top-cited articles on these topics from 2015 to 2021 in the Web of Science database. Based on the revised literature, the potential lock-ins of climate-friendly and sustainable urban development are not adequately discussed. Moreover, while urban sustainability and resilience are often treated as overlapping areas, there is a lack of publications that carefully examine their interlinked long-term perspectives for any hindering effects.
Hydrogel and Machine Learning for Soft Robots’ Sensing and Signal Processing: A Review
Authors: Wang Shuyu , Sun Zhaojia 
Published: December 2022

AbstractThe soft robotics field is on the rise. The highly adaptive robots provide the opportunity to bridge the gap between machines and people. However, their elastomeric nature poses significant challenges to the perception, control, and signal processing. Hydrogels and machine learning provide promising solutions to the problems above. This review aims to summarize this recent trend by first assessing the current hydrogel-based sensing and actuation methods applied to soft robots. We outlined the mechanisms of perception in response to various external stimuli. Next, recent achievements of machine learning for soft robots’ sensing data processing and optimization are evaluated. Here we list the strategies for implementing machine learning models from the perspective of applications. Last, we discuss the challenges and future opportunities in perception data processing and soft robots’ high level tasks.
The tech industry hijacking of the AI ethics research agenda and why we should reclaim it
Authors: Gerdes Anne 
Published: December 2022

AbstractThis paper reflects on the tech industry’s colonization of the AI ethics research field and addresses conflicts of interest in public policymaking concerning AI. The AI ethics research community faces two intertwined challenges: In the first place, we have a tech industry heavily influencing the AI ethics research agenda. Secondly, cleaning up after the tech industry has implied that we have turned to value-driven design methods to bring ethics to AI design. But by framing research questions relevant to a technical practice, we have facilitated the technological solutionism behind the tech industry’s business model. Therefore, this paper takes the first steps to reshape the AI ethics research agenda by suggesting moving toward an emancipatory framework that brings politics to design while, at the same time, bearing in mind that AI is not to be treated as an inevitability. As a research community, we must focus on the repressive power dynamics exacerbated by AI and address challenges facing the vulnerable groups seldom heard, despite the fact that they are the ones most negatively affected by AI initiatives.
Reflection principle for finite-velocity random motions
Authors: Cinque Fabrizio 
Published: December 2022

AbstractWe present a reflection principle for a wide class of symmetric random motions with finite velocities. We propose a deterministic argument which is then applied to trajectories of stochastic processes. In the case of symmetric correlated random walks and the symmetric telegraph process, we provide a probabilistic result recalling the classical reflection principle for Brownian motion, but where the initial velocity has a crucial role. In the case of the telegraph process we also present some consequences which lead to further reflection-type characteristics of the motion.
A Causal-Role Account of Ecological Role Functions
Authors: Morrow Katie H. 
Published: December 2022

AbstractI develop an account of ecological role functions—the functions of species within ecosystems—that is informed by alternative regime phenomena in ecology. My account is a causal-role theory that includes a counterfactual sensitivity condition. The account tracks and explains a distinction ecologists make between functions and various activities that are not functions. My counterfactual sensitivity condition resolves the liberality problem often attributed to causal-role theories of function while also illuminating the explanatory centrality of role functions within ecology.
Geometric filling curves on punctured surfaces
Authors: Doan Nhat Minh 
Published: December 2022

AbstractThis paper is about a type of quantitative density of closed geodesics and orthogeodesics on complete finite-area hyperbolic surfaces. The main results are upper bounds on the length of the shortest closed geodesic and the shortest doubly truncated orthogeodesic that are
$\varepsilon$
-dense on a given compact set on the surface.
Oropharyngeal dysphagia in head and neck cancer: how to reduce aspiration pneumonia
Authors: Martin-Gonzalez C , Gonzalez-Gimeno M J , De-Frutos-Hernan B , Valor-Garcia C 
Published: December 2022

AbstractObjectiveOropharyngeal dysphagia is caused by difficulty in bolus preparation and transport from the mouth to the oesophagus; this may result in malnutrition and aspiration pneumonia. It has a high prevalence in head and neck cancer patients. The objective of this study is to reduce these complications using a new protocol of diagnosis and evaluation of oropharyngeal dysphagia.MethodThis is a prospective study developed in a secondary hospital. All patients diagnosed with head and neck cancer in 2021 and 2022 are subjected to this protocol: an oropharyngeal dysphagia screening test, a swallowing-related quality of life questionnaire and a flexible endoscopic evaluation of swallow.ResultsA total of 72 evaluations are reported using this protocol, before and after cancer treatment, and only 1 presents with aspiration pneumonia.ConclusionUsing this protocol, the incidence of aspiration pneumonia can be reduced, and diet recommendations can be given earlier in order to maintain a patient's nutritional requirements.
Public Acceptance of Regional Redistribution in Germany: A Survey Experiment on the Perceived Deservingness of Regions
Authors: Gniza Jan , Wrede Matthias 
Published: December 2022

AbstractMany policies target the economic and social consequences of regional inequality. This study experimentally investigates factors explaining the public degree of consent to financial transfers to disadvantaged regions. The main hypothesis of this study is that most people use the deservingness-heuristic not only to judge individuals but also to judge regions. We argue that people advocate interregional transfers based on perceived deservingness determined by recipient region’s need, lack of responsibility for the need, likelihood of reciprocity, and by a shared identity. To support this hypothesis, we conducted a factorial survey in Germany asking respondents to rate transfers to needy regions under different hypothetical conditions. We demonstrate, as predicted by the deservingness hypothesis, that consent to transfers to other regions is positively influenced by the extent of need and, in particular, past effort of the recipient region as well as by a shared identity. The results suggest that regional policies are particularly accepted when they target needs caused by factors beyond the control of recipient regions.
Early and on-ground image-based detection of poppy (Papaver rhoeas) in wheat using YOLO architectures
Authors: Pérez-Porras Fernando J. , Torres-Sánchez Jorge , López-Granados Francisca , Mesas-Carrascosa Francisco J. 
Published: December 2022

AbstractPoppy (also common poppy or corn poppy; Papaver rhoeas L., PAPRH) is one of the most harmful weeds in winter cereals. Knowing the precise and accurate location of weeds is essential for developing effective site-specific weed management (SSWM) for optimized herbicide use. Among the available tools for weed mapping, deep learning (DL) is used for its accuracy and ability to work in complex scenarios. Crops represent intricate situations for weed detection, as crop residues, occlusion of weeds, or spectral similarities between crop and weed seedlings are frequent. Timely discrimination of weeds is needed, because postemergence herbicides are used just when weeds and crops are at an early growth stage. This study addressed P. rhoeas early detection in wheat (Triticum spp.) by comparing the performance of six DL-based object-detection models focused on the “You Only Look Once” (YOLO) architecture (v3 to v5) using proximal RGB images to train the models. The models were assessed using open-source software, and evaluation offered a range of results for quality of recognition of P. rhoeas as well as computational capacity during the inference process. Of all the models, YOLOv5s performed best in the testing phase (75.3%, 76.2%, and 77% for F1-score, mean average precision, and accuracy, respectively). These results indicated that under real field conditions, DL-based object-detection strategies can identify P. rhoeas at an early stage, providing accurate information for developing SSWM.