bluuebunny/crossref_metadata_2025_split huggingface dataset:
Drivers and challenges of solar photovoltaics (PV) adoption by Turkish manufacturers
Authors: Tüzün Furkan , Derin-Güre Pınar , Zırh Besim Can 
Published: June 2024

AbstractThis study addresses the critical gap in literature caused by previous qualitative studies on PV adoption focusing primarily on households, which have limited access to specific industry sectors across different countries. As far as we know, no other research has investigated the manufacturing and industrial firms’ perspective on Renewable energy and, specifically, PV adaptation in Türkiye. We use a qualitative semi-structured survey approach accommodated in Turkish Organized Industrial Zones. According to the interviews carried out within the scope of this study, an increase in electricity prices and a decrease in the payback period by PV installment are seen as the most critical drivers of PV adoption in the manufacturing sector. Energy security concerns and climate change policies also help increase the pace of PV adaptation. One of the biggest challenges in PV adoption seems to be technical challenges due to the limited capacity of the transformer, bureaucratic problems due to PV applications, supply side problems due to long wait times by the suppliers, knowledge and information problems, architectural and space problem that are also linked to the legal constraints and financial difficulties due to the lack of access to credit due to the macroeconomic situation of the country.
Close Relationships Despite the Challenges: Sibling Relationships and Autism
Authors: Trew Sebastian 
Published: June 2024

AbstractThis study explores the experiences of siblings of autistic adolescents within families. Without the novel insights generated from engaging with siblings of autistic adolescents within a qualitative framework, it can be challenging to develop strategies for practicing effectively with this group or structuring interventions with these families. Using a social constructivist approach and qualitative participatory methodology, the exploratory study was conducted using in-depth interviews with ten non-autistic siblings, analyzed via a thematic analysis method. The results reveal a common feeling of uncertainty and apprehension in the relationships, leading siblings to physical and emotional detachment from their autistic brothers or sisters. The research emphasizes the caregiving roles predominantly taken up by sisters, especially when the autistic sibling is a brother with intellectual disability. These roles exert substantial demands, with unclear boundaries suggesting potential role confusion. The findings have important implications for family practice, necessitating the need to address role conflict and promote role clarity. They also underscore the gendered nature of caregiving, advocating for support to sister-siblings in these roles. This study revealed the complexities of sibling relationships in families with a member who is an autistic adolescent sibling. The study suggests interventions that promote open family dialogues for a balanced approach to family roles, providing valuable guidance to practitioners to enhance siblings and family well-being.
Integrated Data Processing Architecture Applied to Learning Objects Repository for Educational Robotics: Proposing Approach
Authors: Marques de Santana Costa Ryllari Raianne , Jales de Oliveira Victor Benoiston , Nunes de Melo Kefton David , Santos Costa Cleyton Carlos , Alves Filho Sebastião Emidio 
Published: June 2024

AbstractEducational Robotics has emerged as a multidisciplinary field integrating Information and Communication Technologies, Engineering, and Artificial Intelligence areas in education. Furthermore, Educational Robotics offers an innovative approach to teaching and learning by incorporating the construction and programming of robots. However, the small number of platforms for sharing Educational Robotics Learning Objects with a large amount of well-described metadata poses a challenge for efficient search and retrieval of relevant educational content. This study presents an architecture for data processing and ingestion in the RepositORE system, a Learning Objects Repository for Educational Robotics that stores educational content and associated metadata based on the Dublin Core standard. Based on microservices architecture, the proposed system aims to facilitate the location and reuse of learning objects by adapting the RepositORE system to work as a client service. The theoretical framework explores the concepts of learning objects, repositories, and the significance of Educational Robotics in education, and reviews related works. The proposed architecture and system can potentially enhance the accessibility and discoverability of Educational Robotics Learning Objects, fostering effective teaching and learning experiences.
The Impact of Vacant and Abandoned Property on Health and Well-Being: A Qualitative Inquiry
Authors: Roude Gabriella D. , Wu Kimberly , Richardson Lisa , Tucker Amber , Moss Lolita , Kondo Michelle , Morrison Christopher N. , Branas Charles C. , Gustat Jeanette , Theall Katherine P. 
Published: June 2024

AbstractThis qualitative study explored the role of neglected properties and neighborhood environment characteristics on a sample of New Orleans, Louisiana residents’ health and well-being, sense of community, sense of safety, and civic engagement. We hypothesized that residents would identify conditions of their neighborhood's physical environment, including neglected properties, as one factor that impacted their health and other aspects of well-being. Seventy-four (N = 74) participants, including women, men, youth, young adults, and community leaders, took part in 11 focus groups (n = 51) and 23 key informant interviews. Thematic content analysis through inductive and deductive coding cycles of interview transcripts revealed five main categories related to urban neighborhood-built and social environments: 1) health and well-being, 2) sense of community, 3) sense of safety, 4) civic engagement, and 5) youth and family violence. Ten themes were developed and included, for example, the role of neighborhoods in delineating access to health-promoting characteristics and resources; the role of neighborhood social networks as crime prevention strategies; resident-led decision-making in neighborhood improvements; the negative impact of neglected properties; and the role of the local government in improving physical infrastructure. These findings affirm that residents were aware of and impacted by the cyclical nature of built environment neglect on health and well-being, community violence, neighborhood cohesion, civic engagement, and youth violence. Participants recommended improving neighborhood conditions to shift resident mindsets about the health of neighborhoods, reduce violence, and improve quality of life.
Assessment of elite pepper breeding lines using molecular markers
Authors: Ekbiç Ercan , Okay Ceylan Özlem 
Published: June 2024

AbstractIn this study, 38 elite breeding pepper lines were genetically analyzed using SRAP markers and tested for resistance to PVY, TSWV, and PMMoV viruses using molecular markers. In the virus resistance tests, 1 line (37-H–D-6) from the Three-lobs population was found to be resistant to all 3 viruses tested. The 19 SRAP primer combinations used for genetic diversity yielded a total of 85 bands, 57 of which were polymorphic among pepper lines. While 2–8 bands per primer were obtained, the number of polymorphic bands ranged from 1 to 6. The average polymorphism rate of the primers was 66.44%. The PIC values ranged from 0.06 to 0.40 (with a mean of 0.18). In addition, the average gene diversity, effective allele number, and Shannon information index values of the primers were 0.21, 1.34, and 0.31, respectively. STRUCTURE analysis showed that the pepper lines were grouped into 4 clusters. PCoA and Q-matrix plots supported the cluster distribution. Some lines of the Sivri and Three-lobs pepper populations were observed as outliers in the plots. Kapia and Three-lobs were more similar to each other. This study showed that SRAP markers can be successfully used for genetic diversity of pepper breeding lines.
Circulating Chemokines and Short- and Long-Term Outcomes After Ischemic Stroke
Authors: Klimiec-Moskal Elzbieta , Koceniak Piotr , Weglarczyk Kazimierz , Slowik Agnieszka , Siedlar Maciej , Dziedzic Tomasz 
Published: June 2024

AbstractChemokines are vital in post-cerebral ischemia inflammatory reactions. We investigate the possible relationship between plasma chemokines and short-term and long-term outcomes after stroke. This study included 235 patients (median age, 72 years; 49.8% female) suffering from ischemic stroke, or transient ischemic attack admitted to the hospital within 24 h of onset. We evaluated chemokines CCL2, CCL5, CXCL8, CXCL9, and CXCL10 in plasma samples collected upon admission. Further, we assessed functional outcomes at 3- and 12-months, all-cause fatality over 5 years, and episodes of delirium within the first 7 days of admission. Multivariate analysis revealed an association between higher CXCL10 levels and an increased risk of poor functional outcomes at 3 months (OR: 3.02, 95%CI: 1.22–7.46, p = 0.016) and 12 months (OR: 2.32, 95%CI: 1.03–5.26, p = 0.043), as well as an increased death risk (HR: 1.79, 95%CI: 1.04–3.07, p = 0.036). High CXCL8 levels independently predicted poor functional outcomes at 12 months (OR: 2.69, 95%CI: 1.39–6.31, p = 0.005) and a higher 5-year case fatality rate (HR: 1.90, 95%CI: 1.23–2.93, p = 0.004). Elevated CXCL9 levels also predicted unfavourable functional outcomes at 12 months (OR: 2.45, 95%CI: 1.07–5.61, p = 0.034). In univariate analysis, increased levels of CXCL8, CXCL9, and CXCL10 showed an association with delirium, although this link was not evident in the multivariate analysis. Plasma CXCL8 and CXCL10 show potential as prognostic biomarkers for stroke outcomes and as therapeutic targets suitable for reverse translation.
Design and simulation investigations on charge transport layers-free in lead-free three absorber layer all-perovskite solar cells
Authors: Li Guangdong , Xu Mingxiang , Chen Zhong 
Published: June 2024

AbstractThe multiple absorber layer perovskite solar cells (PSCs) with charge transport layers-free (CTLs-free) have drawn widespread research interest due to their simplified architecture and promising photoelectric characteristics. Under the circumstances, the novel design of CTLs-free inversion PSCs with stable and nontoxic three absorber layers (triple Cs3Bi2I9, single MASnI3, double Cs2TiBr6) as optical-harvester has been numerically simulated by utilizing wxAMPS simulation software and achieved high power conversion efficiency (PCE) of 14.8834%. This is owing to the innovative architecture of PSCs favors efficient transport and extraction of more holes and the slender band gap MASnI3 extends the absorption spectrum to the near-infrared periphery compared with the two absorber layers architecture of PSCs. Moreover, the performance of the device with p-type-Cs3Bi2I9/p-type-MASnI3/n-type-Cs2TiBr6 architecture is superior to the one with the p-type-Cs3Bi2I9/n-type-MASnI3/n-type-Cs2TiBr6 architecture due to less carrier recombination and higher carrier life time inside the absorber layers. The simulation results reveal that Cs2TiF6 double perovskite material stands out as the best alternative. Additionally, an excellent PCE of 21.4530% can be obtained with the thicker MASnI3 absorber layer thickness (0.4 µm). Lastly, the highest-performance photovoltaic devices (28.6193%) can be created with the optimized perovskite doping density of around E15 cm3 (Cs3Bi2I9), E18 cm3 (MASnI3), and 1.5E19 cm3 (Cs2TiBr6). This work manifests that the proposed CTLs-free PSCs with multi-absorber layers shall be a relevant reference for forward applications in electro-optical and optoelectronic devices.
Graphical Abstract
Fish contributions toward nutritional security in Kenya
Authors: Omukoto Johnstone O. , Graham Nicholas A. J. , Hicks Christina C. 
Published: June 2024

AbstractHuman nutrient deficiencies remain prevalent globally and are particularly common in low- and middle-income countries, such as Kenya. Fish holds potential to help address these deficiencies but remains barely incorporated in nutrition policies and strategies, partly due to a lack of supporting evidence. We address this gap by analyzing sixteen years of fisheries production and trade data from marine, freshwater, and aquaculture systems to evaluate fish nutrient supply, assess changes in supply, and determine the contributions the current supply could make to meet the nutritional needs of children under five years in Kenya. Despite an 11% increase, through time, in the total supply of fish, there was a 24% decline in per capita fish consumption due to fishery changes and increased fish demand. Furthermore, a 21% decline in supply of fish from inland freshwater systems resulted in a 25–40% decline in nutrient supply. Based on the current supply of fish, Kenya’s per capita consumption of 2.5 kg/yr is below WHO recommendations of 10.4 kg/yr. However, this supply has the potential to support nearly 13 million Kenyans at this WHO recommendation. If supply was targeted towards vulnerable groups, such as children under five years, it could supply all children in Kenya with one-third of their calcium, selenium, and protein and over 70% of children in Kenya with one-third of their iron, zinc, and omega-3 polyunsaturated fatty acids requirements. Therefore, fish can play an important role in supporting nutritional security in Kenya if strategic interventions involving all relevant sectors are considered, to reduce identified nutrient deficiencies.
Exploring Similarities and Differences Between Shyness and Social Anxiety: An Analysis of Their Relations with Social Emotional and Language Outcomes in Hong Kong Kindergarteners
Authors: Wong Stephanie Choi Yin , Shum Kathy Kar-man 
Published: June 2024

AbstractThis study investigates the similarities and differences between Hong Kong kindergarteners’ shyness and social anxiety and their possible relations with social emotional adjustment and the development of receptive language abilities. Data were collected from three kindergartens, with 71 children (mean age = 52.6 months, SD = 7.28; 48% boys) and their major caregivers participating at two time points, six months apart. Findings showed that children’s shyness and social anxiety levels were strongly correlated, and both were moderately correlated with children’s social emotional difficulties. Interestingly, children’s shyness uniquely predicted social emotional difficulties beyond social anxiety, but children’s social anxiety did not significantly predict their difficulties beyond shyness. Additionally, neither shyness nor social anxiety were found to be associated with children’s Cantonese receptive language skills. Our results highlight the strong similarities between shyness and social anxiety. Given the intricate interplay among the constructs examined in this study, more research is needed to further understand their relations and interactions. This knowledge may help educators to identify appropriate intervention targets to facilitate better language outcomes among shy and socially anxious kindergarteners.
Working memory and L2 gender agreement processing in structural distance conditions
Authors: Durand-López Ezequiel M. 
Published: June 2024

AbstractPrevious studies examining the role of executive function in L2 processing show that working memory (WM) facilitates the processing of agreement in local domains in adult second language (L2) learners. Furthermore, other studies explored whether L2 learners can establish the agreement operation across phrases (i.e., structural distance) and whether WM intervenes in the said linguistic computation. However, these studies have often included both syntactic and linear distance in their stimuli, making it impossible to discern whether WM effects emerge from physical or syntactic reasons. The present study assesses how verbal WM updating and L2 proficiency modulate syntactic processing. Beginner and advanced adult English L2 learners of Spanish and Spanish monolinguals completed a verbal WM updating task, and a self-paced reading task containing Spanish sentences with gender agreement and disagreement within and across phrases. Results show that Spanish monolinguals exhibited sensitivity to gender agreement violations in local domains and in structural distance conditions, while beginner L2 learners were not sensitive to violations in either condition. Advanced learners, on the other hand, detected violations in local domains, and their verbal WM updating spans were associated with sensitivity to violations across phrases. Taken together, the findings suggest that (a) morphosyntactically complex structures consume cognitive resources in great number, and (b) L2 processing is qualitatively similar albeit quantitatively different from native processing, thus providing evidence that late bilinguals may process the L2 in a native-like manner.
Cradle-to-gate life cycle analysis of slow pyrolysis biochar from forest harvest residues in Ontario, Canada
Authors: Desjardins Sabrina M. , Ter-Mikaelian Michael T. , Chen Jiaxin 
Published: June 2024

AbstractClimate change mitigation technologies have been a focus in reducing atmospheric carbon levels for the past few years. One such mitigation technology is pyrolysis, where biomass feedstocks are combusted at elevated temperatures for varying durations to produce three main products: biochar, bio-oil, and biogas. While bio-oil and biogas are typically used to produce energy via further combustion, biochar can be used in several different applications. Furthermore, using forest harvest residues as a feedstock for biochar production helps use excess biomass from the forestry industry that was previously assumed unmarketable. In our study, we combined forest carbon analysis modelling with cradle-to-gate life cycle emissions to determine the greenhouse gas emissions of biochar produced from forest harvest residues. We examined three collection scenarios, spanning two harvesting methods in one forest management unit in northern Ontario, Canada. From our analysis, we observed immediate reductions (− 0.85 tCO2eq·tbiochar−1 in year 1) in CO2-equivalent emissions (CO2eq) when producing biochar from forest harvest residues that would have undergone controlled burning, without considering the end use of the biochar. For the forest harvest residues that would remain in-forest to decay over time, producing biochar would increase overall emissions by about 6 tCO2eq·tbiochar−1. Throughout the 100-year timeframe examined–in ascending order of cumulative emissions–scenario ranking was: full tree harvesting with slash pile burn < full tree harvesting with slash pile decay < cut-to-length/tree-length harvesting.
Graphical Abstract
Diagnosis of COVID-19 CT Scans Using Convolutional Neural Networks
Authors: Chang Victor , Mcwann Siddharth , Hall Karl , Xu Qianwen Ariel , Ganatra Meghana Ashok 
Published: June 2024

AbstractMachine learning technology, particularly neural networks, provides useful tools for diagnosing diseases. This study focuses on how convolutional neural networks can be implemented to diagnose COVID-19 through the processing of x-ray images. This study demonstrates how the convolutional neural networks DenseNet201, ResNet152, VGG16, and InceptionV3 can aid healthcare providers in the diagnosis of COVID-19. The models returned accuracies of 98.73%, 97.23%, 91.25% and 98.38% respectively. The results from these experiments are compared to previous studies by evaluating F1-score, accuracy, precision and recall. Additionally, the important problems of hyperparameter tuning and data imbalance are explored and addressed. Areas for future research in this area are also suggested.
“There’s No Way of Growing”: Subjective Dimensions of Precarity Among Young Spanish Adults
Authors: Castrillo Concepción 
Published: June 2024

AbstractThis article analyses the subjective dimension of the experience of precarity among young Spanish adults, a group particularly affected by the 2008 crisis and the austerity policies that followed. Based on qualitative research, we analyse how precarity affects the ideas that young people construct of themselves and their situation. The results show their assumption of the normative aspects of the idea of transition to adulthood and their feeling of inadequacy with their own present. In interpreting their situation, two opposing discourses are revealed: one involving self-blame and the other pointing to social and structural factors as the cause of their malaise. Finally, the young people make some positive re-readings of their circumstances, which involve subjective work to cope with their situation of vulnerability and which is based on valuing the expressive aspects of work and a lifestyle that is more flexible and less standardised than that of past generations.
The role and impact of ChatGPT in educational practices: insights from an Australian higher education case study
Authors: Sandu Raj , Gide Ergun , Elkhodr Mahmoud 
Published: June 2024

AbstractArtificial intelligence (AI) tools, notably ChatGPT, are increasingly recognised for their transformative potential in higher education. This study employs a detailed case study approach complemented by a survey, delving into ChatGPT’s impact on pedagogical practices, student engagement, and academic performance. It involved 74 undergraduate and postgraduate students enrolled in data analytics courses in Australia. The quantitative analysis highlights ChatGPT’s role in providing personalised and on-demand support, which is highly valued among users for its flexibility and responsiveness, meeting a critical demand in educational settings. Notably, the study identifies a medium effect size ($$\eta ^2 = 0.173$$

η
2

=
0.173

) in perceived benefits, indicating that ChatGPT accounts for approximately 17.3% of the variance in improved academic outcomes. However, challenges such as ChatGPT’s limited understanding of complex queries and the lack of human interactions are primary concerns, with a medium effect size ($$\eta ^2 = 0.289$$

η
2

=
0.289

) suggesting significant areas for improvement. Furthermore, statistical analyses reveal a clear relationship between the frequency of ChatGPT usage and the perception of its benefits, underscoring the transformative potential for users who have integrated it into their academic practices. Despite these challenges, the differential impact on users versus non-users highlights the potential for ChatGPT to foster more engaging and effective educational practices. The findings advocate for targeted strategies to epitomise ChatGPT’s integration into educational settings, emphasising the need for ongoing research and the development of comprehensive guidelines to navigate its complexities and maximise its educational benefits.