bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sharkaeology: Expanding Understandings of Historical Chinese Diaspora Shark Fisheries in Monterey Bay, California, through the Genetic Species Identification of Archaeological Chondrichthyes Remains
Authors: Royle Thomas C. A. , Kennedy J. Ryan , Guiry Eric J. , Jackman Luke S. , Shichiza Yuka , Yang Dongya Y. 
Published: July 2024

AbstractPrior to burning down in 1906 CE, Point Alones in the Monterey Bay region of Central California was home to one of the largest Chinese fishing communities in the United States of America. Both historical records and the recovery of numerous cartilaginous fish (Chondrichthyes) vertebrae during archaeological excavations of the village indicate sharks were among the taxonomic groups being regularly harvested by its inhabitants. However, as shark vertebrae are difficult to identify past the family-level using conventional morphology-based approaches, our understanding of the Point Alones shark fishery remains incomplete. In this study, we address this issue by using ancient DNA analysis to assign species-level identifications to a sample of 54 shark vertebrae from the site. We successfully amplified a 173 bp fragment of the mitochondrial cytochrome c oxidase I gene from 47 of the 54 analyzed specimens (87.03%). Our results indicate that Tope Shark (Galeorhinus galeus; n = 39) was the primary focus of the site’s shark fishery, with Brown Smooth-Hound (Mustelus henlei; n = 7) and Leopard Shark (Triakis semifasciata; n = 1) also harvested to a lesser extent. All three of these species are found locally in the waters overlying the continental shelf, suggesting Chinese fishers were harvesting sharks from these coastal environments. While some of the sharks caught by fishers from Point Alones were likely being consumed at the village, historical records suggest a significant number of fins from harvested Tope Sharks were also likely being exported to China and other diaspora communities.
Career education and development scales for primary school and junior secondary school students
Authors: McCowan Col , McIlveen Peter , McLennan Brad , Ciccarone Lucia 
Published: July 2024

AbstractThe present research provides evidence of the measurement properties of the Career Education and Development Scale-Junior (CEDS-Junior) and the Career Education and Development Scale-Primary (CEDS-Primary). Study 1 tested a theoretically informed three-factor structure of the CEDS-Junior using a sample of N = 381 junior high school students in grades 7, 8 and 9, and Study 2 tested the CEDS-Primary using a sample of N = 179 primary school students in grades 5 and 6. Three hypothesized factors were recovered from the data: understanding, action and attitude. These novel measures are a resource for exploring and tracking students’ career development learning.
Successful growth of coastal marine microalgae in wastewater from a salmon recirculating aquaculture system
Authors: Borg-Stoveland Stian , Draganovic Vukasin , Spilling Kristian , Gabrielsen Tove M. 
Published: July 2024

AbstractAs global demand for seafood increases, recirculating aquaculture systems (RAS) have gained prominence for sustainable fish rearing. The sustainability of RAS still requires improvement, particularly managing the fish waste. Here we investigated the growth and nutrient removal capabilities of three microalgal species (Isocrysis galbana, Phaeodactylum tricornutum and Skeletonema marinoi) in aquaculture wastewater (AWW) mixed at different concentrations with cultivation medium. All three microalgae showed growth in different concentrations of the AWW obtained from an Atlantic salmon RAS facility in Agder, Norway. The average growth rates for I. galbana, S. marinoi and P. tricornutum at 75% AWW concentration were 0.31± 0.00 day-1, 0.34 ± 0.00 day-1, 0.25 ± 0.02 day-1, respectively. All three species effectively contributed to nitrate, ammonium and phosphate removal. When cultivated in 75% AWW, the microalgae achieved nearly complete removal of nitrite, nitrate, and phosphate, while approximately 90% of ammonium was also removed. Our results confirm the viability of AWW for microalgal cultivation on a laboratory scale suggesting this presents a sustainable route to further develop a circular bioeconomy in aquaculture.
Enrichment of cell cycle pathways in progesterone-treated endometrial organoids of infertile women compared to fertile women
Authors: Bui B. N. , Ardisasmita A. I. , van de Vliert F. H. , Abendroth M. S. , van Hoesel M. , Mackens S. , Fuchs S. A. , Nieuwenhuis E. E. S. , Broekmans F. J. M. , Steba G. S. 
Published: July 2024

Abstract
Purpose
To investigate whether the transcriptome profile differs between progesterone-treated infertile and fertile endometrial organoids.

Methods
Endometrial biopsies were obtained from 14 infertile and seven fertile women, after which organoids were generated from isolated epithelial cells. To mimic the secretory phase, organoids were sequentially treated with 17β-estradiol (E2) and progesterone (P4) and subjected to RNA sequencing. Differentially expressed genes (DEGs) were identified using DESeq2 (lfcThreshold = 0, log2 Fold Change ≥ 1.0 or ≤ −1.0), and a principal component analysis (PCA) plot was generated. Functional enrichment analysis was performed by overrepresentation analysis and Gene Set Enrichment Analysis (GSEA). To functionally assess proliferation, OrganoSeg surface measurements were performed before (T0) and after (T1) differentiation of organoids, and T1/T0 ratios were calculated to determine the proliferation rate.

Results
Although the PCA plot did not show clear clustering of the fertile and infertile samples, 363 significant DEGs (129 upregulated and 234 downregulated) were detected in infertile compared to fertile organoids. Mainly cell cycle processes were highly enriched in infertile organoids. Thus, we hypothesised that proliferative activity during differentiation may be higher in infertile organoids compared to fertile organoids. However, this could not be validated by cell surface measurements.

Conclusions
This study revealed that cell cycle processes were enriched in E2/P4-treated infertile endometrial organoids as compared to fertile organoids. This could reflect persistently higher proliferative activity of the endometrial epithelial cells in differentiated infertile organoids compared to fertile organoids. To confirm this hypothesis, further studies are warranted.
Lost in Translation? Cultural Adaptation of Child Mental Health Interventions in Nepal: A Systematic Review
Authors: Pacini Adele , Broker Hayley , Shrestha Prithvi 
Published: July 2024

AbstractThis systematic review provides a synthesis of the state of the evidence relating to child and adolescent mental health interventions in Nepal, with particular emphasis on the use and impact of cultural adaptation of these interventions. The review follows the PRISMA and JBI review guidance. Nine papers met the inclusion criteria, studies were characterised by methodological weaknesses impacting on their reliability. Five of the nine studies reported statistically significant improvements, of these, all except one worked with the family and wider community alongside the child. The use of cultural adaptation was implemented in all studies, but varied in terms of the extent of the adaptation processes used. The findings from this review indicate that high quality studies are needed in this area, particularly those which consider the influence on the collectivist nature of Nepali culture on design of the intervention. Interventions need to consider cultural adaptation more closely, as well as the acceptability of the intervention to the wider community.
Caregiver-Youth Communication Patterns and Sexual and Reproductive Health Among American Indian Youth
Authors: Thiele Jeffrey , Williamson Olivia , Ceavers Olivia , FireMoon Paula , Johnson Olivia , Rink Elizabeth , Anastario Michael 
Published: July 2024

AbstractImproving communication between American Indian caregivers and their youth has been suggested as an Indigenous-forward strategy to help alleviate the sexual and reproductive health (SRH) disparities faced by American Indian youth as a result of the legacy of colonial violence against American Indian communities. Studies with non-American Indian and American Indian populations suggest that effective communication about SRH between parents and youth plays a role in reducing sexual risk behaviors among youth. There is limited research that examines youth sexual risk behaviors in relation to communication patterns separately assessed in caregivers and youth. The current study aimed to examine the association between caregiver-youth communication patterns and engagement in sex, age at sexual debut, and condom use among American Indian youth in the United States. The study draws on baseline caregiver and youth data collected from Nen ŨnkUmbi/EdaHiYedo, a stepped wedge design trial with American Indian youth living on the Fort Peck Reservation in Montana. 113 caregiver responses were matched to 145 youth for the current study. Caregiver-youth communication patterns were examined in relation to youth engagement in sex, age at sexual debut, and number of protected acts of vaginal and/or anal sex. Multivariable models were used to adjust for confounders and to examine relationships between caregiver-youth communication and youth sexual risk outcomes. An increase in overall level of self-reported youth communication with caregivers about sexual and reproductive health topics was significantly associated with a greater likelihood of youth ever having engaged in sex. A significant interaction effect between youth communication and convergence with caregiver response was observed for the number of protected acts of vaginal and/or anal sex, where caregiver communication (regardless of self-reported youth communication with caregivers) was associated with a greater number of protected sex acts. This study fills a gap in the extant literature by reporting on relationships between communication about SRH, assessed separately in caregivers and youth, and youth sexual risk behaviors. Findings emphasize the importance of involving American Indian caregivers in SRH interventions to improve SRH outcomes among American Indian youth, and inform future experimental research that will evaluate how changes in caregiver communication potentially impact youth SRH.
L2XGNN: learning to explain graph neural networks
Authors: Serra Giuseppe , Niepert Mathias 
Published: July 2024

AbstractGraph Neural Networks (GNNs) are a popular class of machine learning models. Inspired by the learning to explain (L2X) paradigm, we propose L2xGnn, a framework for explainable GNNs which provides faithful explanations by design. L2xGnn learns a mechanism for selecting explanatory subgraphs (motifs) which are exclusively used in the GNNs message-passing operations. L2xGnn is able to select, for each input graph, a subgraph with specific properties such as being sparse and connected. Imposing such constraints on the motifs often leads to more interpretable and effective explanations. Experiments on several datasets suggest that L2xGnn achieves the same classification accuracy as baseline methods using the entire input graph while ensuring that only the provided explanations are used to make predictions. Moreover, we show that L2xGnn is able to identify motifs responsible for the graph’s properties it is intended to predict.
Optical solitons for the concatenation model with power–law of self–phase modulation by lie symmetry
Authors: Yadav Ravindra , Kumar Sachin , Biswas Anjan , Yıldırım Yakup , Alshomrani Ali Saleh 
Published: July 2024

AbstractThis paper investigates the concatenation model under the influence of power-law self-phase modulation through the Lie symmetry. We employ two integration schemes, namely the extended tanh approach and the F-expansion algorithm, to rigorously integrate the reduced ordinary differential equations governing the system. Through this methodological framework, we uncover a diverse array of soliton solutions and systematically classify them, shedding light on their intricate dynamics and characteristics. Our research unveils previously undiscovered soliton solutions, enriching the existing understanding of concatenation models. We introduce a comprehensive classification scheme for these solitons, providing valuable insights into their behavior and interactions. Numerical simulations validate the stability and persistence of the identified soliton solutions across various parameter regimes. Our findings contribute to the theoretical framework of nonlinear wave dynamics and hold potential for innovative applications in fields such as nonlinear optics and information processing.
Sticky business: the intricacies of acylsugar biosynthesis in the Solanaceae
Authors: Vendemiatti Eloisa , Nowack Lillian , Peres Lazaro Eustáquio Pereira , Benedito Vagner A. , Schenck Craig A. 
Published: July 2024

AbstractPlants display tremendous chemical diversity. Like all organisms, they possess a core set of metabolites for growth and development. However, plants are notorious for their specialized chemical repertoire. Biologically active specialized metabolites enable plants to interact with their environment and provide humans with diverse medicines. Specialized metabolites are derived from core metabolites, often using enzymes that evolved from core pathways in a lineage-specific manner. Biochemical understanding of plant specialized metabolic pathways provides insight into the evolutionary origins of chemical diversity and tools for engineering the production of biologically active metabolites. Acylsugars are a class of specialized metabolites occurring widely in the Solanaceae and other plant families where they contribute to fitness. Although assembled from simple core metabolic precursors, sugars and acyl chains, tremendous acylsugar structural diversity is observed across the Solanaceae family. Enzymes that catalyze the esterification of acyl chains to sugar cores have been well characterized from phylogenetically diverse species, and their biochemical diversity contributes to acylsugar structural variation. The upstream metabolic pathways that provide the acyl chain precursors also contribute to acylsugar structural variation. Yet, biochemical and genetic understanding of these upstream biosynthetic pathways is less well known. Here, we focus on recent advances in acyl chain biosynthesis and elongation pathways, the subcellular distribution of acylsugar biosynthesis, and how biochemical innovations in acylsugar biosynthesis contribute to structural diversity specifically focusing on Solanaceae-type acylsugars.
Modelling and Forecasting Interregional Migration for Multiregional Population Projections
Authors: Cameron Michael P. , Poot Jacques 
Published: July 2024

AbstractIn this paper we focus on modelling and forecasting gross interregional migration in a way that can be embedded within multiregional population projections. We revisit, and apply, a family of spatial interaction models first formulated during the 1970s. The classic gravity model—in which migration is positively related to the populations of sending and receiving areas, but inversely related to various types of spatial friction associated with migrating between them—is a special case that is nested within this family of models. We investigate which member of the family of models gives the best fit when modelling five-year migration flows between the 66 Territorial Authorities (TAs) of Aotearoa New Zealand, using 2013 and 2018 census data. We find that predicting migration between two TAs can be improved by taking into account, firstly, an index of the ‘draw’ from all other TAs when modelling out-migration of any TA and, secondly, an index of the ‘competitiveness’ of a TA vis-à-vis all other TAs when modelling in-migration of any TA. We highlight the properties of the statistically-preferred model by simulating the impact on internal migration of an exogenous increase in Auckland’s population. In this model, such a population change affects not only migration flows from and to Auckland, but also migration between other TAs. The usefulness of this approach for population projections is assessed by forecasting the 2013–18 migration matrix by means of 2013 census data only. In this specific case, the model outperforms the classic gravity model in terms of forecasting gross migration, but not net migration.
Does Being In-Person Matter? Demonstrating the Feasibility and Reliability of Fully Remote Observational Data Collection
Authors: Basha Sydni A. J. , Cai Qiyue , Lee Susanne , Tran Tiffany , Majerle Amy , Tiede Shauna , Gewirtz Abigail H. 
Published: July 2024

AbstractMany conventional research methods employed in randomized controlled trials were not possible during the height of the COVID-19 pandemic. In particular, behavioral observations are nearly universally gathered in-person. Observational methods are valued for the rich, informative data they produce in comparison to non-observational methods and are a cornerstone of parenting and family research. COVID provided the opportunity to, and indeed necessitated, the transition to fully remote observation. However, little to no studies have investigated whether remotely collected observational data are methodologically sound. This paper assesses the feasibility of remote data collection by describing the transition between in-person and fully remote observational data collection during a Sequential, Multiple Assignment, Randomized Trial (SMART) of a parenting program that took place both before and during the pandemic. Using mixed-methods data from coders, the overall quality of video-recorded data collected both before and during COVID was examined. Coder reliability over time was assessed with intraclass correlation coefficients. Results suggest that the frequency of audio problems, the severity of visual problems, and the level of administration challenges decreased after transitioning to remote data collection. Additionally, coders showed good to excellent reliability coding remotely collected data, and reliability even improved on some measured tasks. Although challenges to remote data collection exist, this study demonstrated that observational data can be collected feasibly and reliably. As observational data collection is a key method to assess parenting practices, these findings should improve researcher confidence in utilizing remote observational methods in prevention science.
Absolute Poverty Measurement with Minimum Food Needs: A New Inverse Method for Advanced Economies
Authors: Menyhert Balint 
Published: July 2024

AbstractSpurred by the need for increased adequacy and international comparability, absolute poverty measures are gaining in policy relevance around the world. This paper proposes a simple and feasible method of calculating absolute poverty thresholds on the basis of households’ minimum food needs in advanced economies. It makes three important contributions. First, it demonstrates that conventional statistical methods used in the developing world deliver either unrealistically low or improbably high poverty estimates in rich countries where household spending on food is modest in relative terms. Second, it proposes a new simulation-based inverse method that focuses on the non-food Engel curve and uses predetermined minimum food bundles not as inputs but as targeted reference points in order to calculate adequate poverty thresholds. Finally, an empirical application of the new method using household budget survey data from Italy shows that resulting poverty estimates are comparable to the official figures of the Italian Statistical Office in terms of both the poverty rate and the poverty profiles. Requiring few and easily procurable resources, the proposed algorithm is well suited to produce robust, consistent and internationally comparable absolute poverty estimates in a large number of developed countries and emerging economies.
Can failure be made productive also in Bayesian reasoning? A conceptual replication study
Authors: Loibl Katharina , Leuders Timo 
Published: July 2024

AbstractThe composite instructional design PS-I combines an initial problem-solving phase (PS) with a subsequent explicit instruction phase (I). PS-I has proven effective for conceptual learning in comparison to instructional designs with the reverse order (I-PS), especially when the explicit instruction phase productively builds on students’ erroneous or incomplete (i.e., failed) solution attempts. Building on student solutions during explicit instruction may support students to integrate their intermediate knowledge (acquired during problem solving) with the newly introduced knowledge components. While these effects have been shown for learning the concept of variance in multiple studies, it remains unclear whether these effects generalize to other situations. We conducted a conceptual replication study of Loibl and Rummel (Loibl and Rummel, Learning and Instruction 34:74–85, 2014a) choosing Bayesian reasoning as target knowledge. 75 students were assigned to four conditions in a 2 × 2 design (factor 1: PS-I vs. I-PS; factor 2: instruction phase with vs. without typical student solutions). In contrast to Loibl and Rummel (2014a), we did neither find a main effect for PS-I vs. I-PS, nor for building on typical student solutions. The missing effect of PS-I can be explained by the fact that students merely activated their prior knowledge on probabilities without exploring the problem-solving space and without becoming aware of their knowledge gaps. The missing effect of building on typical student solutions can be explained by a mismatch of the solutions generated and the ones included in the explicit instruction. Therefore, building on typical student solutions did not foster an integration of students’ intermediate knowledge and the introduced knowledge components.
Hierarchical adaptive evolution framework for privacy-preserving data publishing
Authors: You Mingshan , Ge Yong-Feng , Wang Kate , Wang Hua , Cao Jinli , Kambourakis Georgios 
Published: July 2024

AbstractThe growing need for data publication and the escalating concerns regarding data privacy have led to a surge in interest in Privacy-Preserving Data Publishing (PPDP) across research, industry, and government sectors. Despite its significance, PPDP remains a challenging NP-hard problem, particularly when dealing with complex datasets, often rendering traditional traversal search methods inefficient. Evolutionary Algorithms (EAs) have emerged as a promising approach in response to this challenge, but their effectiveness, efficiency, and robustness in PPDP applications still need to be improved. This paper presents a novel Hierarchical Adaptive Evolution Framework (HAEF) that aims to optimizet-closeness anonymization through attribute generalization and record suppression using Genetic Algorithm (GA) and Differential Evolution (DE). To balance GA and DE, the first hierarchy of HAEF employs a GA-prioritized adaptive strategy enhancing exploration search. This combination aims to strike a balance between exploration and exploitation. The second hierarchy employs a random-prioritized adaptive strategy to select distinct mutation strategies, thus leveraging the advantages of various mutation strategies. Performance bencmark tests demonstrate the effectiveness and efficiency of the proposed technique. In 16 test instances, HAEF significantly outperforms traditional depth-first traversal search and exceeds the performance of previous state-of-the-art EAs on most datasets. In terms of overall performance, under the three privacy constraints tested, HAEF outperforms the conventional DFS search by an average of 47.78%, the state-of-the-art GA-based ID-DGA method by an average of 37.38%, and the hybrid GA-DE method by an average of 8.35% in TLEF. Furthermore, ablation experiments confirm the effectiveness of the various strategies within the framework. These findings enhance the efficiency of the data publishing process, ensuring privacy and security and maximizing data availability.