bluuebunny/crossref_metadata_2025_split huggingface dataset:
Italian Children’s Accounts of the Lockdown: Insights and Perspectives
Authors: Capurso Michele , Pedale Tiziana , Santangelo Valerio , Salmi Luciana Pagano , Mazzeschi Claudia 
Published: January 2023

AbstractCOVID-19 lockdown-imposed restrictions emerged as a risk to children’s well-being. However, the extant literature often ignored children’s experiences, emotions, struggles, hopes, and expectations. Based on a large sample of Italian students (N = 906; mean age = 9.4 years, 48.8% female), we drew data from a post-lockdown school re-entry program where students completed narrative activities in 2020. These narratives underwent quantitative content analysis according to gender and school level. Overall, children reported mixed feelings about the lockdown; they felt safe at home but also experienced fear and missed their friends, school, and freedom. Screen-time, technology and friendships helped, but children struggled to make sense of the events. Our findings show how children attempted to make sense of the lockdown experience and may provide key information for the development of community coping programs to help children facing crises in the future.
Population ecology and behaviour of two Afrotropical forest butterflies
Authors: Habel Jan Christian , Eberle Jonas , Charo Juliette , Maghenda Marianne , Schmitt Thomas 
Published: January 2023

Abstract
Over the last decades, numerous natural habitats have been converted into settlement areas, agricultural land, and tree plantations on a large spatial scale. As a result, natural ecosystems have been destroyed. In consequence, many ecosystems exist today as small and geographically isolated remnants. To what extent the original species diversity can persist in such small habitat patches is questionable and strongly depends on the ecology of the species. A prominent example of severe habitat destruction are the species-rich tropical cloud forests of Taita Hills in southern Kenya, which have been deforested almost completely during past decades. However, there still exist typical forest species in the few remaining forest fragments. In this study, we investigate the population ecology and behaviour of two butterfly species present in the cloud forest remnants of Taita Hills, Protogoniomorpha parhassus and Precis tugela. Over a period of one month, we conducted Mark-Release-Recapture to study population sizes and demographic structures, lifespan, dispersal, and behaviour. We found that both species exhibited medium population sizes and are sedentary. However, some individuals performed dispersal throughout the forest. The behaviour of the two species differs: While P. tugela was mostly observed basking with open wings, P. parhassus was mostly sitting under leaves with closed wings. The life span was rather long for butterflies.

Implications for insect conservation
This study documents the population ecology and behaviour of these two Afrotropical butterflies and underlines the relevance of the conservation of cloud forest remnants to preserve species, which mainly depends on these habitat remnants.
Assessing Internalizing Symptoms and Their Relation with Levels of Impairment: Evidence-Based Cutoffs for Interpreting Inventory of Depression and Anxiety Symptoms (IDAS-II) Scores
Authors: De la Rosa-Cáceres A. , Lozano O. M. , Sanchez-Garcia M. , Fernandez-Calderon F. , Rossi G. , Diaz-Batanero C. 
Published: January 2023

AbstractTests and scales measuring psychological disorders should provide information about how scores relate to other constructs such as quality of life or functional impairment. Such information is necessary to allow that their scores contribute to clinical decision making. The current study analyzes the clinical utility of the Spanish version of the Inventory for Depression and Anxiety Symptoms (IDAS-II) to discriminate between different levels of functional impairment and identify the IDAS-II scales that contribute most to explaining impairment. The total sample (N = 1390) consists of two subsamples: a community sample of the general population (n = 1072) selected by random sampling; and a sample of patients (n = 318) from public and private mental health services. The Spanish IDAS-II for measuring internalizing symptoms and WHODAS 2.0 for measuring impairment were administered to all participants. All scales show statistically significant higher scores in the patient sample, with Cohen's d effect sizes values greater than 0.30, except for well-being (d = 0.19). The cutoff values and their confidence intervals do not overlap with the means of either the community or patient sample. AUC values for most of the scales are above .70, except for appetite gain, ordering, euphoria, cleaning, and well-being. Multiple linear regression model using IDAS-II scales explain 57.1% of the variance of the WHODAS 2.0 (F12.1377 = 155.305; p < .001). Cutoff values provided allow us to reliably differentiate between the patients and community samples. Spanish IDAS-II scores show greater sensitivity and specificity in detecting those with greater impairment. General Depression, Lassitude, Panic and Claustrophobia contribute to impairment in a greater extent. Knowledge of which symptoms are most related with impairment, allows healthcare providers to improve treatment planning based on empirical evidence.
Authentication of Covid-19 Vaccines Using Synchronous Fluorescence Spectroscopy
Authors: Assi Sulaf , Abbas Ismail , Arafat Basel , Evans Kieran , Al-Jumeily Dhiya 
Published: January 2023

AbstractThe present study demonstrates the potential of synchronous fluorescence spectroscopy and multivariate data analysis for authentication of COVID-19 vaccines from various manufacturers. Synchronous scanning fluorescence spectra were recorded for DNA-based and mRNA-based vaccines obtained through the NHS Central Liverpool Primary Care Network. Fluorescence spectra of DNA and DNA-based vaccines as well as RNA and RNA-based vaccines were identical to one another. The application of principal component analysis (PCA), PCA-Gaussian Mixture Models (PCA-GMM)) and Self-Organising Maps (SOM) methods to the fluorescence spectra of vaccines is discussed. The PCA is applied to extract the characteristic variables of fluorescence spectra by analysing the major attributes. The results indicated that the first three principal components (PCs) can account for 99.5% of the total variance in the data. The PC scores plot showed two distinct clusters corresponding to the DNA-based vaccines and mRNA-based vaccines respectively. PCA-GMM clustering complemented the PCA clusters by further classifying the mRNA-based vaccines and the GMM clusters revealed three mRNA-based vaccines that were not clustered with the other vaccines. SOM complemented both PCA and PCA-GMM and proved effective with multivariate data without the need for dimensions reduction. The findings showed that fluorescence spectroscopy combined with machine learning algorithms (PCA, PCA-GMM and SOM) is a useful technique for vaccination verification and has the benefits of simplicity, speed and reliability.
Associations of Physical Activity and Sedentary Behavior with Optimism and Positive Affect in Older Women
Authors: Ryu Rita H. , Larsen Britta , LaCroix Andrea , Nguyen Steve , Posis Alex Ivan B. , Schumacher Benjamin T. , Danhauer Suzanne C. , Tindle Hilary A. , Bellettiere John 
Published: January 2023

AbstractPsychological well-being is linked to healthy aging in older women, but associations with health behaviors are not well understood. Our study aims to evaluate the relationships between objectively-measured physical behavior (including physical activity and sedentary behavior) with optimism and positive affect in a diverse sample of older women. Our cross-sectional study of 4168 American women (aged 63–99) with accelerometer-measured physical behavior from the Objective Physical Activity and Cardiovascular Health Study assessed associations using multiple linear regression. Effect modification by age, race and ethnicity, social support, and number of chronic conditions was examined as well. In unadjusted models, positive associations for physical activity and negative associations for sedentary behaviors were generally linear for optimism and positive affect. In adjusted models, every one-hour increment in weekly moderate-vigorous physical activity was associated with higher optimism by 0.4 score points [Revised 6-item Life Orientation Test, 95% CI = 0.2, 0.6] and positive affect by 0.6 score points [modified Differential Emotions Scale, 95% CI = 0.2, 0.9]. One-hour increments in light physical activity were associated with higher positive affect [0.2 score points; 95% CI = 0.03, 0.33] while one-hour increments in sedentary behavior patterns were associated with lower positive affect [-0.1 score points; 95% CI = − 0.10, − 0.02). Effect modification by age, race and ethnicity, social support, and number of chronic conditions was not observed. In conclusion, associations between physical behavior with optimism and positive affect were modest but suggest greater activity and less sedentary time are associated with greater psychological well-being in older women.
Improvements in iridium target chemistry
Authors: Marenco Athena M. , Bond Evelyn M. , Rusev Gencho , Bredeweg Todd A. 
Published: January 2023

AbstractWe developed and optimized the dissolution and separation chemistry of iridium (Ir) from irradiated Ir pellets and prepared Ir counting samples for analysis by a silicon drift detector. Previous Ir chemistry techniques used on the irradiated Ir pellets are tedious, lengthy, and require extra safety precautions and planning due to the use of perchloric acid in the dissolution step. The dissolution and separations method described in this paper are safer, eliminating the use of perchloric acid, more efficient, and can successfully replace the previous procedure.
Optimized deep learning/kalman filter-based underwater localization in VLC systems
Authors: Salama Wessam M. , Aly Moustafa H. , Amer Eman S. 
Published: January 2023

AbstractSeveral applications depend on the localization technique in underwater visible light communication (UVLC) systems, as military, petroleum, and diving fields. Recent research aims to develop the localization system by different methods to obtain the optimum position of the receiver. In this paper, we use Kalman Filter (KF) algorithm with average Received Signal Strength (RSS) technique using optimization. Optimized Deep Learning Models (DLMs) are utilized to improve the system performance, including such as ResNet50V2, InceptionResNetV2, SSD, and RetinaNet. Two channel modeling Weighted Double Gamma Function (WDGF) with a Combination Exponential Arbitrary Power Function (CEAPF) are used for sea water to enhance the UVLC localization system. The obtained results show that using CEAPF channel modeling with ResNetV2 strategy achieves the best accuracy of the localization for different methods. Also, the ResNetV2 outperforms other strategies for using RSS average technique. The RSS with KF and DLM achieves a higher accuracy with ResNetV2 than InceptionResNetV2, RetinaNet and SSD. Using WDGF achieves accuracy less than that in CEAPF where for using KF with average RSS method. Applying the RSS with KF with CEAPF channel modeling improves the performance than using WDGF. We use an automatic hyper-parameter (HP) approach to the Bayesian optimization models ResNet50V2, InceptionResNetV2, SSD, and RetinaNet. The ResNet50V2 based on average RSS technique hybrid with KF in CEAPF channel model achieves 99.99% accuracy, 99.99% area under the curve (AUC), 99.98% precision, 99.89% F1-score, 0.099 RMSE and 0.43 s testing time.
Privileged but not in Power: How Asian American Tech Workers use Racial Strategies to Deflect and Confront Race and Racism
Authors: Chow Tiffany Y. 
Published: January 2023

AbstractResearch on tech workers has often focused on racial inequalities within the industry but has failed to seriously consider Asian American professionals as racialized subjects. This paper addresses this knowledge gap by centering Asian Americans as workers whose racial identity impacts their career trajectory and professional experiences in the high-tech industry. Based on 57 interviews with Asian American tech professionals, I find that Asian Americans use four main racial strategies to deflect or confront racism in the workplace Three of these racial strategies—racial maneuvering, essentializing, distancing— intentionally remove Asian Americans from the glare of racism. The fourth racial strategy, dissenting, acknowledges racism; workers using this racial strategy are often so frustrated by the white power structure of the high-tech industry that they find no other choice but to leave mainstream organizations. Several of these racial strategies are reinforced by local racial politics and the historical influence of Asian immigrant workers that helped shape both Silicon Valley and Asian American culture in the San Francisco Bay Area.
Strategic ambiguity and risk in alternating pie-sharing experiments
Authors: Conte Anna , Güth Werner , Pezanis-Christou Paul 
Published: January 2023

AbstractWe experimentally study a class of pie-sharing games with alternating roles from a decision-making perspective. For this, we consider a variant of a two-stage alternating-offer game which introduces an imbalance in the protagonists’ bargaining powers. This game class enables us to investigate how exposure to risk and strategic ambiguity affects one’s bargaining behaviour. Two structural econometric models of behaviour, anaïveand asophisticatedone, capture remarkably well the observed deviations from the game-theoretic benchmark. Our findings indicate, in particular, that a higher exposure to strategic ambiguity leads to a behaviour that is less responsive to the game’s parameters and to distorted, yet consistent, beliefs about other’s behaviour. We also find evidence of a backward-reasoning whereby first-stage decisions relate to the second-stage ones but which do not call for the counterfactual reasoning that characterises rationality in such settings.
Holistic Flexibility for Deploying Systems Thinking as a Cognitive Skill
Authors: Chowdhury Rajneesh 
Published: January 2023

Abstract
Considering Systems Thinking (ST) as a cognitive skill can create greater acceptability of and openness to the discipline from practitioners and researchers outside operations research and management science. Rather than associating ST with frameworks and methodologies, ST as a cognitive skill can help popularize and democratize the discipline. This paper highlights how the conceptual lens of Holistic Flexibility can help practitioners deploy ST as a cognitive skill without the application of any traditional systems methodology. Holistic Flexibility is defined as the dynamic interplay between a state of mind that has the ability to absorb systemic complexity and a state of practice that has the ability to embrace flexibility, both in intent and in form. Through two case-studies, discussions in this paper highlight how Holistic Flexibility can serve as a conceptual lens for systems practitioners. The case-studies demonstrate the importance of a practitioner’s ability to seamlessly manage and work with multiple variables, stakeholders, and factors to deliver responsible outcomes with the aid of learning loops. The main contribution of this paper lies in the case-studies and analyses presented that provide use cases for Holistic Flexibility in ST, which will help address recent calls in the discipline for ST to be considered as a cognitive skill.
Unpacking classroom goal structures based on students’ own words
Authors: Fejes József Balázs 
Published: January 2023

AbstractAchievement goal theory research, which investigates students’ perceptions of the classroom climate, has mainly focused on teacher practices from a deductive perspective. However, this appears to hinder a fuller understanding of all the factors that influence students’ perceptions of the classroom goal structures (CGS). Therefore, using a combination of inductive and deductive approaches, a series of three studies was conducted to identify new elements in students’ perceptions of CGS in relation to mathematics. In Study 1 (N = 340, 5th–7th graders), a self-reporting Hungarian-language questionnaire was developed to measure CGS. In Study 2 (N = 250, 7th graders), the same questionnaire was supplemented with open-ended questions about the classroom climate. Based on a qualitative analysis of these open-ended questions, new scales, one each for the factors of helping peers, recognition by peers, and image of the classroom community, were created in Study 3 (N = 438, 6th–8th graders) to explore their relationship to classroom goal structures. Factor analysis confirmed the expected structure, except for recognition by peers, which had to be divided into two factors with the new construct known as teasing peers. Findings confirm the relevance of a combined, inductive–deductive approach in examining CGS.
Teacher attitudes toward lesbian, gay, and bisexual students: Evidence for intergroup contact theory and secondary transfer effects
Authors: Gegenfurtner Andreas , Hartinger Andreas , Gabel Sylvia , Neubauer Jule , Keskin Özün , Dresel Markus 
Published: January 2023

AbstractThis article presents two studies that tested the predictive validity of intergroup contact theory and secondary transfer effects related to pre-service teacher attitudes toward sexual minority youth in classrooms. Multiple regression of feeling thermometer scores in Study 1 (N = 989) suggested that more favorable attitudes are present among younger, female, bisexual or homosexual, less religious, politically left-wing pre-service teachers with lesbian, gay, and bisexual contacts. Associations with family membership and hometown size were nonsignificant. Analyses of variance in Study 2 (N = 406) showed statistically significant secondary transfer effects. For instance, teacher candidates with no lesbian women contacts showed less sexual prejudice toward lesbian students if they were in social contact with gay men and bisexual people. Implications for teacher education, teacher professionalism, and the need to create safe spaces in school for LGBTQIA+ students are discussed.
Residual efficacy of selected larvicides against Culex pipiens pipiens (Diptera: Culicidae) under laboratory and semi-field conditions
Authors: Sakka Maria K. , Ioannou Charalampos S. , Papadopoulos Nikos T. , Athanassiou Christos G. 
Published: January 2023

Abstract
Mosquitoes are a threat worldwide since they are vectors of important pathogens and parasites such as malaria, dengue, yellow fever, and West Nile. The residual toxicity of several commercial mosquito larvicides was evaluated for the control of Culex pipiens pipiens under controlled laboratory and semi-field conditions during late spring and summer of 2013. The evaluation included six different active ingredient formulations, i.e., diflubenzuron Du-Dim), Bacillus thuringiensis var. israelensis (Bti) (Vectobac), spinosad (Mozkill), S-methoprene (Biopren), temephos (Abate), and polydimethylsiloxane (PDMS) (Aquatain), that are currently registered of and had been registered in the past for mosquito control. Under controlled laboratory conditions, the residual activity ranged from 1 week (S-methoprene) up to 2 months (spinosad, PDMS). Exposure of larvicides under semi-field conditions resulted in noticeable differences regarding their efficacy as compared to the laboratory bioassays. Exposure of S-methoprene, Bti, and spinosad, for up to 3 days, resulted in similar adult emergence to the controls. On the other hand, the residual efficacy of diflubenzuron, temephos, and PDMS ranged from 14 to 28 days, depending on the season of exposure. Longevity and fecundity of adults that had emerged from surviving larvae, in most of the cases tested, did not differ significantly from that of the controls. The results of the present study demonstrate the necessity of both field and laboratory studies to draw safe conclusions regarding the efficacy of larvicides against mosquitoes and the selection of the proper formulation for each application scenario. In addition, defining the seasonal variation in the residual toxicity of the tested formulations could be useful for improving mosquitos’ management programs.
The Microstructural Evolution of CM247LC Manufactured Through Laser Powder Bed Fusion
Authors: Markanday J. F. S. , Christofidou K. A. , Miller J. R. , Livera E. R. , Jones N. G. , Pickering E. J. , Li W. , Pardhi Y. , Jones C. N. , Stone H. J. 
Published: January 2023

Abstract
Numerous challenges persist with the additive manufacturing of high γ′ containing Ni-based superalloys such as CM247LC. Currently, significant cracking occurs during deposition of CM247LC components using laser powder bed fusion and during post-processing. Whilst post-deposition procedures seek to eliminate or minimise cracks, current procedures do not produce a microstructure suitable for service. This study systematically investigates the microstructural evolution of CM247LC manufactured using laser powder bed fusion following multiple post processing treatments. Phase and textural changes after each processing step were consistent with previous studies, although an additional Hf-rich and Cr-depleted segregation zone was identified along intercellular boundaries in the as-deposited condition, believed to be associated with the cracking propensity. Compositional modification of CM247LC including removal of Hf, reduction of C and addition of Nb eliminated the segregation zone but these changes were associated with an increased susceptibility to solidification and liquation cracking.
Trophoblast Stem-Cell-Derived Exosomes Alleviate Cardiotoxicity of Doxorubicin via Improving Mfn2-Mediated Mitochondrial Fusion
Authors: Duan Junfeng , Liu Xiaoli , Shen Song , Tan Xi , Wang Yi , Wang Lian , Kang Lina , Wang Kun , Wei Zhonghai , Qi Yu , Hu Lei , Xu Biao , Gu Rong 
Published: January 2023

AbstractDoxorubicin (Dox) is an anticancer drug widely used in tumor chemotherapy, but it has the side-effect of cardiotoxicity, which is closely related to mitochondrial damage. Mitochondrial dynamics is a quality control mechanism that usually helps to maintain a healthy mitochondrial pool. Trophoblast stem cell-derived exosomes (TSC-Exos) have been shown to protect cardiomyocytes from DOX-induced cardiotoxicity. To explore whether the cardioprotective role is mediated by the regulation of mitochondrial dynamic mechanism, TSC-Exos were isolated from human trophoblast stem cells by ultracentrifugation and characterized by Western blot and transmission electron microscopy. Cellular experiments of H9c2 cardiomyocytes co-cultured with Dox and TSC-Exos were performed in vitro to determine the levels of reactive oxygen species generation and apoptosis level. An animal model of heart failure was established by intraperitoneal injection of Dox in vivo, therapy mice were received additional intracardiac injection of TSC-Exos, then, the cardiac function, cardiomyocyte apoptosis and mitochondrial fragmentation were ameliorated. Histology assays suggest that Dox caused an increased tendency of mitochondrial fission, which was manifested by a decrease in the average size of mitochondria. By receiving TSC-Exos treatment, this effect was eliminated. In summary, these results suggest that TSC-Exos alleviate DOX-induced cardiotoxicity through antiapoptotic effect and improving mitochondrial fusion with an increase in Mfn2 expression. This study is the first to provide a potential new treatment scheme for the treatment of heart failure from the perspective of the relationship between TSC-Exos and mitochondrial dynamics.