bluuebunny/crossref_metadata_2025_split huggingface dataset:
Trends in scientific literature on the environmental sustainability of the artichoke (Cynara cardunculus L. spp.) supply chain
Authors: Rana Roberto Leonardo , Bux Christian , Lombardi Mariarosaria 
Published: November 2022

PurposeThe research provides a systematic literature review on the environmental sustainability of the globe artichoke [Cynara cardunculus L. var. scolymus (L.) Fiori], in the cultivated cardoon [Cynara cardunculus L. var. altilis DC.] and in the wild cardoon [Cynara cardunculus L. var. sylvestris (Lamk)] supply chains, to fill in the literature data gaps and to identify new research directions.Design/methodology/approachIn the light of the PRISMA standard guidelines, the research provides a systematic literature review according to six research strings on Scopus and Web of Science. 45 scientific articles have been selected out of 407 contributions. Data have been synthesized according to a co-word analysis through the VOSviewer software, to provide insights into the structure of the research network, to offer a multidimensional scaling and clustering into research groups and to discuss the results.FindingsThe research identifies five main research trends: (1) biomass-to-bioenergy or biomass-to-biocomposite materials; (2) waste-to-bioenergy or waste-to-bioproducts; (3) crop management to increase yield productivity; (4) environmental impacts assessment; (5) irrigation water management. Besides, the research highlights momentous challenges and adopted strategies to tackle climate change and to reduce natural resources consumption, as well as the nexus between circular economy and environmental impact assessment.Originality/valueThe novelty of this study relies on the fact that it analyses the environmental sustainability of the Cynara cardunculus L. spp. Supply chain in a systematic way, giving the opportunity to identify future research directions regarding the environmental impacts associated with agricultural production and industrial transformation.
Review of critical success factors affecting Malaysia's construction industry's sustainable health and safety practices
Authors: Oni Olatoyese Zaccheus , Olanrewaju AbdulLateef , Khor Soo Cheen 
Published: November 2022

Purpose Contrasted with some other industries, the construction industry has been linked with the most noteworthy accident occurrence rate, the majority of which has been related to poor health and safety practises. This paper therefore sets out to conduct a comprehensive review of the critical success factors that can aid sustainable health and safety practises on construction sites in Malaysia.Design/methodology/approachThe review focussed heavily on published reports, drawn between the years 2000 and 2022. The Scopus database was used for gathering the articles reviewed for this study.Findings After reviewing various literature studies, a total of 106 critical success factors were identified. All these factors were then categorised under the three pillars of sustainability. A total of 48 factors were grouped under the economic factors, 37 factors were grouped under the social factors and the remaining 21 factors were grouped under the environmental factors.Originality/valueThis paper conducted a comprehensive review of the critical success factors for bridging sustainability and health and safety. This study will help in developing a sustainable health and safety model that can drastically reduce the accident rate on the construction site.
Contested logistics simulation output analysis with approximate dynamic programming: a proposed methodology
Authors: Powers Matthew , O'Flynn Brian 
Published: November 2022

PurposeRapid sensitivity analysis and near-optimal decision-making in contested environments are valuable requirements when providing military logistics support. Port of debarkation denial motivates maneuver from strategic operational locations, further complicating logistics support. Simulations enable rapid concept design, experiment and testing that meet these complicated logistic support demands. However, simulation model analyses are time consuming as output data complexity grows with simulation input. This paper proposes a methodology that leverages the benefits of simulation-based insight and the computational speed of approximate dynamic programming (ADP).Design/methodology/approachThis paper describes a simulated contested logistics environment and demonstrates how output data informs the parameters required for the ADP dialect of reinforcement learning (aka Q-learning). Q-learning output includes a near-optimal policy that prescribes decisions for each state modeled in the simulation. This paper's methods conform to DoD simulation modeling practices complemented with AI-enabled decision-making.FindingsThis study demonstrates simulation output data as a means of state–space reduction to mitigate the curse of dimensionality. Furthermore, massive amounts of simulation output data become unwieldy. This work demonstrates how Q-learning parameters reflect simulation inputs so that simulation model behavior can compare to near-optimal policies.Originality/valueFast computation is attractive for sensitivity analysis while divorcing evaluation from scenario-based limitations. The United States military is eager to embrace emerging AI analytic techniques to inform decision-making but is hesitant to abandon simulation modeling. This paper proposes Q-learning as an aid to overcome cognitive limitations in a way that satisfies the desire to wield AI-enabled decision-making combined with modeling and simulation.
Cognitive load in asynchronous discussions of an online undergraduate STEM course
Authors: Faulconer Emily K. , Bolch Charlotte , Wood Beverly 
Published: November 2022

PurposeAs online course enrollments increase, it is important to understand how common course features influence students' behaviors and performance. Asynchronous online courses often include a discussion forum to promote community through interaction between students and instructors. Students interact both socially and cognitively; instructors' engagement often demonstrates social or teaching presence. Students' engagement in the discussions introduces both intrinsic and extraneous cognitive load. The purpose of this study is to validate an instrument for measuring cognitive load in asynchronous online discussions.Design/methodology/approachThis study presents the validation of the NASA-TLX instrument for measuring cognitive load in asynchronous online discussions in an introductory physics course.FindingsThe instrument demonstrated reliability for a model with four subscales for all five discrete tasks. This study is foundational for future work that aims at testing the efficacy of interventions, and reducing extraneous cognitive load in asynchronous online discussions.Research limitations/implicationsNonresponse error due to the unincentivized, voluntary nature of the survey introduces a sample-related limitation.Practical implicationsThis study provides a strong foundation for future research focused on testing the effects of interventions aimed at reducing extraneous cognitive load in asynchronous online discussions.Originality/valueThis is a novel application of the NASA-TLX instrument for measuring cognitive load in asynchronous online discussions.
Intranasal (2R, 6R)‐hydroxynorketamine for acute pain: Behavioural and neurophysiological safety analysis in mice
Authors: Goswami Nidhi , Aleem Mohd , Manda Kailash 
Published: November 2022

AbstractKetamine is known for its antinociceptive effect and is also used for treatment‐resistant depression. However, the efficacy and safety of (2R, 6R)‐hydroxynorketamine (HNK), a ketamine metabolite has been sparingly investigated for acute pain management. The current study aims at investigating the antinociceptive effect of intranasal (2R, 6R)‐HNK using pre‐clinical models of acute pain. Additionally, the behavioural and neurophysiological safety analyses were carried out for the effective time window. Antinociceptive efficacy of (2R, 6R)‐HNK was evaluated using the hot plate test and Hargreaves' plantar test. The formalin test was carried out in both the acute and tonic phases. The neurophysiological and behavioural safety analyses were carried out separately for the haemodynamic function, cortical electroencephalography (EEG), and spontaneous behavioural functions. Analgesic effect of (2R, 6R)‐HNK was evident by a significant increase in paw‐withdrawal latency in both Hargreaves' and hot plate tests. Additionally, the (2R, 6R)‐HNK showed a significant ameliorative effect on pain‐related behaviour in the second phase of the formalin test. (2R, 6R)‐HNK exhibited an anxiolytic effect without causing any significant changes in locomotor activity and haemodynamic parameters. Power spectral density (PSD) analysis of electroencephalogram revealed no significant changes except a comparative increase in the gamma band range. Both the locomotor functions in the open field test and the PSD value of delta wave indicated no sedative effect at the given dose of (2R, 6R)‐HNK. The results demonstrated the pain‐alleviating effect of (2R, 6R)‐HNK without compromising the neurophysiological and behavioural function. Therefore, intranasal (2R, 6R)‐HNK is suggested as a safe candidate for further clinical study in the management of acute pain.
New‐onset inflammatory arthritis after COVID‐19 vaccination: A systematic review
Authors: Chen Cheng‐Che , Chen Chung‐Jen 
Published: November 2022

AbstractAimTo analyze the clinical patterns of new‐onset inflammatory arthritis after COVID‐19 vaccination among patients without pre‐existing rheumatic or autoimmune diseases.MethodCase reports and series of new‐onset inflammatory arthritis after COVID‐19 vaccination were collected before April 2022. Clinical characteristics including diagnosis, age, gender, vaccine types, time interval between events, joint involvement (poly‐ or oligo−/monoarthritis), and laboratory data reflecting inflammatory status were sorted and P values between these parameters are calculated with independent sample Student's t test or 2 × 2 Fisher's exact test.ResultsAmong 39 cases with new‐onset post‐vaccination arthritis including 25 females and 13 males (1 unknown), the most common diagnosis is adult‐onset Still's disease (AoSD, 10 cases), and the most common vaccine types are BNT162b2 (16 cases) and AZD‐1222 (or ChAdOx1‐nCoV19, 15 cases). Sub‐analysis reveals that post‐vaccination polyarthritis is more common among females (P = .016, by 2 × 2 Fisher's exact test, compared with male patients) and older patients (P = .006, by Student's t test). The C‐reactive protein level is significantly higher in cases with post‐vaccination inflammatory polyarthritis than oligoarthritis (P = .029), as well as in cases with AoSD than other causes of post‐vaccination arthritis (P = .004). However, serum level of erythrocyte sedimentation rate in patients with post‐vaccination AoSD are independent of other clinical variables in the analysis.ConclusionNew‐onset post‐vaccination polyarthritis are more common in females and older patients. Although COVID‐19 vaccines may lead to inflammatory arthritis, the benefits of vaccination substantially outweigh the potential risks of such serious adverse effects due to their rarity.
Evaluation of patients with antiphospholipid syndrome subsequently COVID‐19 vaccinations: A retrospective cohort study
Authors: Karakaş Özlem , Erden Abdulsamet , Armağan Berkan , Güven Serdar Can , Atalar Ebru , Polat Bünyamin , Omma Ahmet , Küçükşahin Orhan 
Published: November 2022

AbstractThe aim of this study is to evaluate development of side effects, thrombotic or obstetric complications in our antiphospholipid syndrome (APS) patient group, after vaccination against coronavirus disease 2019 (COVID‐19). A cohort was formed from patients who have previously been followed up with a diagnosis of APS. The patients of the cohort were evaluated retrospectively to find out if they were vaccinated with CoronaVac and/or BNT162b2 vaccines which are being used in our country. To evaluate the side effects seen after the vaccination, the information was collected by the patients in their outpatient appointments or making a phone call. Thirty‐five APS patients who had received at least 1 dose of any of the COVID‐19 vaccines were included in the study. Median (min–max) number of vaccine doses per patient was 2 (1–3). Eleven patients had a booster dose after primary vaccination. Twenty patients were ever vaccinated with BNT162b2 and 18 with CoronaVac. Among BNT162b2 recipients, 9 (45.0%) and among CoronaVac recipients 15 (42.9%) reported an adverse event after a vaccine administration. The most common adverse events were myalgia and malaise after any dose of both vaccines. No vaccine‐related new thrombotic events or APS flares were observed. Our results were comparable with those reported in the literature. Comprehensive large‐scale studies are needed for more accurate results on the evaluation of side effects after COVID‐19 vaccination in APS patients.
Leflunomide: Traditional immunosuppressant with concurrent antiviral effects
Authors: Zheng Kunyu , Chen Yiran , Liu Suying , He Chengmei , Yang Yunjiao , Wu Di , Wang Li , Li Mengtao , Zeng Xiaofeng , Zhang Fengchun 
Published: November 2022

AbstractLeflunomide is a classic disease‐modifying anti‐rheumatic drug that is widely used to treat autoimmune diseases. Studies also show its antiviral effects in in vitro and/or in vivo experiments. Considering glucocorticoids, immunosuppressants and newly emerged antibodies commonly used in autoimmune diseases and autoinflammatory disorders bring risk of infection such as viral infection, leflunomide with combination of anti‐viral and immunosuppressive features to maintain the balance between infection and anti‐inflammation are attractive. Here we summarize the actions and mechanisms of leflunomide in immunoregulatory and antiviral effects.
“Nature” and territories as victims: Decolonizing Colombia's transitional justice process
Authors: Lyons Kristina 
Published: November 2022

AbstractAcross different national contexts, liberal legal frameworks have primarily focused on war crimes and violence against human victims as violations of human rights and international law. In Colombia, there is growing legal recognition that “nature” and territories are also casualties of war, requiring punitive sanctioning and reparative treatment in the country's transitional justice process. This article examines how local communities inhabiting the epicenters of violence, along with officials responsible for administering transitional justice, are attempting to expand the tenets of this dominant postconflict paradigm. Informed by fieldwork among magistrates, bureaucrats, and Indigenous, Afro‐descendent, and campesino victim organizations, it attends to the tensions and ontological openings that occur during a criminal investigation process when multiple concepts of nature, territory, crime, and harm are held in frictive tandem. It also demonstrates the challenges of doing ethnography during times of explicit political transition and in collaboration with open judicial cases. While the anthropology of law has relied on concepts of coordination and hybridity to describe the interactions between diverse realities and legal systems, this article proposes analyzing the more radical work and limits of progressivism that are unfolding simultaneously within temporary tribunals.
Physical activity and screen time in Swedish children and adolescents: The generation pep study 2018–2021
Authors: Delisle Nyström Christine , Carlander Anders , Cassel Sophie , Rosell Magdalena , J‐Son Höök Malin , Löf Marie 
Published: November 2022

AbstractAimTo analyse physical activity and screen time trends annually between 2018 and 2021 in large population‐based samples of Swedish children and adolescents.MethodsThis is a repeated cross‐sectional study using data collected over 4 years (2018–2021) using simple probability sampling of Swedish children and adolescents aged 4–17 years. The web‐based questionnaire, including questions on physical activity and screen time, was filled out by a parent if the child was <12 years of age and by the adolescents themselves if they were ≥ 12 years. Sociodemographic data was collected from the parents.ResultsNo significant difference in physical activity was observed in 2020 and 2021 compared to 2019. However, older children/adolescents and girls have higher odds to be in a lower physical activity category (p‐values<0.001). With regards to screen time, there was a significant increase in reported screen time from 2018 to 2021 for children and adolescents, with screen time peaking in 2020 (p‐values<0.001).ConclusionThis is the first study in Sweden evaluating trends in physical activity and screen time in large population‐based samples spanning from pre‐school to adolescence. Interventions to promote physical activity, especially in the older age groups and to reduce screen time in a Swedish context are warranted.
An analysis on basic income: Evidence using data from experimental projects throughout the world
Authors: Kim Sang Kyun , Ahn SeoYeon 
Published: November 2022

AbstractBasic income was a hot issue in the recent Korean presidential election. Its pros and cons were used to scramble for the electorate's votes. However, their arguments largely relied on political rhetoric and lacked scientific facts. The problem is that politics without the backing of science is not only prone to a misguided conviction but also going to deal a blow to the future development of basic income. This study aims to narrow the gap between rhetoric and facts through evidence‐based research on basic income. By employing methods of fact‐finding and effect evaluation, we analyze using four aspects of assessment, namely, general information about basic income experiments; details on the experiments; development of the experiments; and the effect of the experiments. Basic income‐related data are drawn from the World Bank and the Basic Income Laboratory at Stanford University. Significant results of the review are that some positive effects were identified at the micro level but any meaningful macro‐level impact was impossible to confirm. To sum up, the outcomes are so erratic that it is difficult to detect any clear pattern in policy impacts. To approach basic income more scientifically, further research is urgently needed.
The influence of government support over environmental protection investment on SMEs: R&D collaboration and financial aspects
Authors: Benito‐Hernández Sonia , López‐Cózar‐Navarro Cristina , Priede‐Bergamini Tiziana 
Published: November 2022

AbstractThis paper aims to improve knowledge about the main factors influencing firm environmental commitment, by examining empirically the relationship between public support for R&D for small and medium enterprises (SMEs) and their investment in environmental protection. The empirical analysis was developed using a sample of 1594 Spanish firms, and a binary logistic regression to evaluate the existence of dependency relationships between the analyzed variables. The results show that those companies receiving direct funding from local public entities and those collaborating with research centers and universities, invest more in environmental actions to protect the natural ecosystem. The paper contributes to the academic literature by analyzing the main factors that influence the SMEs environmental commitment. Moreover, showing practitioners and policy makers the effectiveness of different types of financial support depending on the origin of the funds and the form of action taken; showing managers the advantages of collaborating with public administrations, as well as with other research organizations, to obtain better ECSR results.
Learning analytics application to examine validity and generalizability of game‐based assessment for spatial reasoning
Authors: Kim Yoon Jeon , Knowles Mariah A. , Scianna Jennifer , Lin Grace , Ruipérez‐Valiente José A. 
Published: November 2022

AbstractGame‐based assessment (GBA), a specific application of games for learning, has been recognized as an alternative form of assessment. While there is a substantive body of literature that supports the educational benefits of GBA, limited work investigates the validity and generalizability of such systems. In this paper, we describe applications of learning analytics methods to provide evidence for psychometric qualities of a digital GBA called Shadowspect, particularly to what extent Shadowspect is a robust assessment tool for middle school students' spatial reasoning skills. Our findings indicate that Shadowspect is a valid assessment for spatial reasoning skills, and it has comparable precision for both male and female students. In addition, students' enjoyment of the game is positively related to their overall competency as measured by the game regardless of the level of their existing spatial reasoning skills.
Practitioner notesWhat is already known about this topic:

Digital games can be a powerful context to support and assess student learning.
Games as assessments need to meet certain psychometric qualities such as validity and generalizability.
Learning analytics provide useful ways to establish assessment models for educational games, as well as to investigate their psychometric qualities.
What this paper adds:

How a digital game can be coupled with learning analytics practices to assess spatial reasoning skills.
How to evaluate psychometric qualities of game‐based assessment using learning analytics techniques.
Investigation of validity and generalizability of game‐based assessment for spatial reasoning skills and the interplay of the game‐based assessment with enjoyment.
Implications for practice and/or policy:

Game‐based assessments that incorporate learning analytics can be used as an alternative to pencil‐and‐paper tests to measure cognitive skills such as spatial reasoning.
More training and assessment of spatial reasoning embedded in games can motivate students who might not be on the STEM tracks, thus broadening participation in STEM.
Game‐based learning and assessment researchers should consider possible factors that affect how certain populations of students enjoy educational games, so it does not further marginalize specific student populations.
Comparison of conventional impression making and intraoral scanning for the study of unilateral cleft lip and palate
Authors: Okazaki Tomoyo , Kawanabe Hitoshi , Fukui Kazunori 
Published: November 2022

AbstractPatients with cleft lip and palate (CLP) encounter various problems, including disorders related to feeding, esthetics, and pronunciation. We compared two impression methods, conventional impression making and intraoral scanning, to study unilateral cleft lip and palate (UCLP). Patients with UCLP (n = 7) were selected, and palatal impressions were taken by two steps: (1) impressions were obtained using an addition silicone rubber impression material, and a plaster model was prepared and (2) optical impressions were obtained using a desktop three‐dimensional (3D) scanner and stereolithography (STL). Data were generated by two impression system combinations through STL. The results were analyzed using the Kruskal–Wallis or Mann–Whitney U test. There were no significant differences in the dimensions of the models between both groups. The measured depth of the alveolar cleft defects was deeper in the plaster model group (STL) than in the intraoral scanner group (STL). Digital models may prevent the risk of aspiration and respiratory disorders by using impression materials for preoperative jaw treatment of newborns and infants. We compared the results of both impression methods in the same patient and found that a shift to the 3D printer model is a safe alternative for preoperative jaw correction, as evidenced from the amount of tissue displaced due to the pressure applied during impression taking. In the future, we would like to conduct clinical research with a larger sample size of CLP patients to further corroborate these findings.