bluuebunny/crossref_metadata_2025_split huggingface dataset:
Relational Data Cleaning Meets Artificial Intelligence: A Survey
Authors: Zhu Jingyu , Zhao Xintong , Sun Yu , Song Shaoxu , Yuan Xiaojie 
Published: December 2024

AbstractRelational data play a crucial role in various fields, but they are often plagued by low-quality issues such as erroneous and missing values, which can terribly impact downstream applications. To tackle these issues, relational data cleaning with traditional signals, e.g., statistics, constraints, and clusters, have been extensively studied, with interpretability and efficiency. Recently, considering the strong capability of modeling complex relationships, artificial intelligence (AI) techniques have been introduced into the data cleaning field. These AI-based methods either consider multiple cleaning signals, integrate various techniques into the cleaning system, or incorporate neural networks. Among them, methods utilizing deep neural networks are classified as deep learning (DL) based, while those that do not are classified as machine learning (ML) based. In this study, we focus on three essential tasks (i.e., error detection, data repairing, and data imputation) for cleaning relational data, to comprehensively review the representative methods using traditional or AI techniques. By comparing and analyzing two types of methods across five dimensions (cost, generalization, interpretability, efficiency, and effectiveness), we provide insights into their strengths, weaknesses, and suitable application scenarios. Finally, we analyze the challenges and open issues currently faced in data cleaning and discuss possible directions for future studies.
Expectations vs. reality in nacre-like composites: dominating role of particle packing and polymer confinement in mechanical performance
Authors: Semeykina V. , Appiah C. , Rothberg S. , Heinrich S. , Giuntini D. , Schneider G. A. 
Published: December 2024

AbstractAfter decades of research, mimicking the intricate structure of nacre shells with flawlessly packed blocks remains a laborious task in composite material design. For practical reasons, less ideal alternatives with reduced packing densities below 70 vol.% are often being explored. However, the extent to which the features of the nacre structure can be exploited remains unclear. This paper investigates whether mimicking nacre design in non-densely packed composites can still deliver exceptional mechanical performance. A wide range of ceramic particles (80–100 µm, including spheres and platelets) and methacrylate-based polymers was studied. All the composites exhibited little variation in strength (100–150 MPa) and E-modulus regardless of hierarchical structure, particle size, shape, or interfacial bonding, highlighting the greater importance of particle packing over these factors for ceramic loadings below 65 vol.%. In particular, the benefits of micron-sized anisotropic particles were diminished by the fundamental challenges in aligning such blocks: although these assemblies significantly enhanced fracture resistance, the elastic modulus was still lower than expected (25 GPa). A polydisperse mixture of irregularly shaped micron-sized particles surprisingly achieved a high elastic modulus of 20 GPa, suggesting that an optimized size distribution can provide benefits comparable to those of particle anisotropy. Composites loaded with small particles (< 500 nm) exhibited two key effects: the solvation shells contributed to the total organic content significantly, limiting the maximum ceramic loading, and the polymer confined within small interparticle voids exhibited increased stiffness, leading to more brittle fracture despite the abundance of organic phase. Both phenomena should be accounted for in theoretical simulations and the practical design of composite materials.
Graphical Abstract
Strategies for Dealing with Substances of Concern in Product Design – a Review of Five Cases
Authors: Bolaños Arriola Julieta , Aghaeian Soroush , Bakker Conny , Balkenende Ruud 
Published: December 2024

AbstractHazardous substances, or substances of concern (SoC), are present in numerous products and may be the source of significant risks to human health and the environment. In addition, the presence of SoC in products challenges the transition towards a circular economy. By implementing strategies such as reuse or recycling, SoC can be reintroduced in subsequent lifecycles, generating new forms of risk. Addressing SoC in the early stages of the product development process is necessary to mitigate the hazards and risks they may present throughout multiple lifecycles. Product designers hence need appropriate tools and methods to address SoC in products. However, we have observed that current research primarily focuses on the development of non-toxic chemical alternatives and approaches that mitigate the risks of SoC at a chemical and material level (i.e., substitution), lacking the necessary holistic approach to avoid trade-offs or unforeseen consequences. Available design specific methods, tools, and information to address SoC in products are extremely limited and have too a material focus. To address this, we investigated five cases to understand how SoC were dealt with across the product lifecycle and identify mitigation interventions used. We then analyzed the interventions and classified them into five levels of influence, i.e., chemical, material, component, product, and system, and evaluated their respective implications for design, advantages, and drawbacks. Our analysis results in three groups of mitigation strategies that are specifically relevant to product design: Avoid, which entails any modification to the product that eliminates the SoC, Control, in which the SoC remains in use, but its emissions are prevented, and Reduce, which includes any modification that results in the reduction of the volume of the SoC or its emissions. Our findings establish the potential contribution of designers in the mitigation SoC in products and constitute a basis for the development of methods or guidelines to address SoC from a product design perspective.
Pathological mechanisms and advances in neoadjuvant PD-1 blockade combined with chemotherapy for head and neck cancer
Authors: Hou Yun-jing , Yang Xin-xin , Meng Hong-xue 
Published: December 2024

AbstractIn the most recent edition of Holistic Integrative Oncology, a study by Han and colleagues revealed that combining neoadjuvant programmed cell death 1 (PD-1) blockade with chemotherapy is effective for treating locally advanced head and neck squamous cell carcinoma. The retrospective analysis included 51 patients. The participants were assigned to treatment with neoadjuvant chemotherapy (NAC) alone or NAC combined with pembrolizumab. The study compared several outcomes between the two groups, including pathological complete response and objective response rates, delays in surgery, and toxicity. The results indicated that NAC combined with pembrolizumab significantly improved pathological responses without increasing toxicity or side effects. Meanwhile, we additionally reviewed the advanced pathological mechanisms underlying the combination of immune checkpoint blockade and NAC. These mechanisms encompass several key processes, including immunogenic cell death, increased immunogenicity of cancer cells, anti-angiogenic effects, and myeloid immunosuppressive cells. Consequently, the approach facilitates the transformation of tumors from a non-inflammatory state to an inflammatory state, thereby enhancing immune response rates.
ELSA for the Smart City: Ethical, Legal, and Social Technologization of Homes, Cities, and Societies Through Standardized ELSA-Assessment—A Legal Point of View
Authors: Gesmann-Nuissl Dagmar , Tacke Ines , Olschewski Bianca 
Published: December 2024

Abstract
Smart living environments such as the Smart Home or the Smart City are created by connecting various smart devices. The data-driven character of these IoT devices (IoT—Internet of Things) leads not only to an increase in comfort, but gives also rise to new legal, ethical, and social risks. Even though, IoT devices that are to be placed on the market in Europe shall undergo an approval process during which they are evaluated for their compliance with the entire legal system. Nevertheless, there is still a need to improve the analysis of the legal, ethical, and social impact on society prior to approving new technologies. Moreover, when different sets of data from individual devices are connected, more comprehensive information about residents can be accessed. Thus, legal, ethical, and social challenges also arise from the combination of several devices in a network in the context of Smart Homes or Smart Cities. We propose a standardized ELSA-assessment (ELSA—ethical, legal, social aspects) as a tool for the comprehensive analysis of IoT devices as well as networks. If the structure and composition of the IoT network is changed by adding a device or service, the assessment should be repeated. The standardized ELSA assessment could support responsible stakeholders in identifying and successfully mitigating unacceptable risks. Standardization of the assessment should enable repeatability and thus comparability of assessment results. In this way, legal, ethical, and social technologization of the Smart City can be ensured.
The role of social, economic, and medical marginalization in cancer clinical trial participation inequities: A systematic review
Authors: Hanvey Grace Ann , Johnson Hannah , Cartagena Gabriel , Dede Duane E. , Krieger Janice L. , Ross Kathryn M. , Pereira Deidre B. 
Published: December 2024

Abstract
Extant literature reveals how patients of marginalized social identities, socioeconomic status (SES), and medical experiences – especially patients of color and older adults – are underrepresented in cancer clinical trials (CCTs). Emerging evidence increasingly indicates CCT underrepresentation among patients of lower SES or rural origin, sexual and gender minorities, and patients with comorbid disability. This review applies an intersectional perspective to characterizing CCT representativeness across race and ethnicity, age, sexual and gender identity, SES, and disability. Four databases were systematically queried for articles addressing CCT participation inequities across these marginalizing indicators, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. One hundred one articles were included in a qualitative evaluation of CCT representativeness within each target population in the context of their intersectional impacts on participation. Findings corroborate strong evidence of CCT underrepresentation among patients of color, older age, lower SES, rural origin, and comorbid disabling conditions while highlighting systemic limitations in data available to characterize representativeness. Results emphasize how observed inequities interactively manifest through the compounding effects of minoritized social identity, inequitable economic conditions, and marginalizing medical experiences. Recommendations are discussed to more accurately quantify CCT participation inequities across underserved cancer populations and understand their underpinning mechanisms.
Effectiveness of the ‘Weet wat je eet’ nutrition education programme in Dutch secondary schools
Authors: Hoefnagels Femke A. , Versteegt Simone , Stafleu Annette , Huigens Marthe C. , Battjes-Fries Marieke C. E. 
Published: December 2024

Abstract
To assess the effectiveness of the ‘Weet wat je eet’ (‘Know what you eat’) school-based nutrition education programme on behavioural determinants and behaviour among students aged 12–15 years. A quasi-experimental study design was used, collecting data at baseline and after implementing the programme in both an intervention and control group (in total 611 students) across the Netherlands. Students from eighteen Dutch secondary education schools completed two consecutive questionnaires, assessing knowledge, self-efficacy, attitude, subjective norm, intention, and behaviours related to healthy, safe, and sustainable nutrition. Multilevel regression analyses were conducted corrected for gender, grade, education level, and school location. The intervention group showed a significant higher increase in self-efficacy, attitude, intention to drink water (all three P < 0.01), and a significant higher decrease in the consumption of sugary drinks, snacks, and meat (all P < 0.05) than the control group. Both the groups scored significantly higher on knowledge during the post-test (both P < 0.05), although the intervention group not significantly higher than the control group (P = 0.14). No significant effects were observed for subjective norm, intention, and fruit, vegetable, and whole grain bread consumption. The results of this study showed positive effects of the ‘Weet wat je eet’ school-based nutrition education programme on self-efficacy and attitude towards healthy, safe and sustainable nutrition, intention to drink more water, and various healthy eating behaviours among secondary school students. Further research is necessary to assess the long-term sustainability of these results.
Food insecurity and BMI are associated with depressive symptoms among adolescents in Yogyakarta province, Indonesia, during the COVID-19 pandemic: a 1-year longitudinal study
Authors: Asrullah Muhammad , Maula Ahmad Watsiq , Dewi Shita Listya , Helmyati Siti , Melse-Boonstra Alida 
Published: December 2024

Abstract
The COVID-19 pandemic has presented multifaceted challenges globally, impacting adolescent health. Among these, food security and nutrition are intertwined closely with mental health outcomes. In Indonesia, with its diverse socio-economic landscape, these interconnections may have been exacerbated by the pandemic. This study investigated the relationship between food security, nutrition and adolescent mental health in Indonesia during COVID-19. Longitudinal data were collected from 511 adolescent boys and girls in 2021–2022 in Gunungkidul district, Yogyakarta. Food security was measured using the Household Food Insecurity Access Scale (HFIAS), and the validated Kessler-10 Psychological Distress Scale (K10) was used to measure adolescent depression. Multivariate linear regression and linear mixed-effects regression were employed to explore associations between these variables, while adjusting for sex, age, pubertal status and household income. Overall, food insecurity score was positively associated with depressive symptoms (β: 0·72, 95 % CI 0·52, 0·92), while BMI z-score was inversely associated (β: −0·31, 95 % CI 0·68, −0·03). We found an increase in strength of association between food insecurity and depressive symptoms over time (moderately food-insecure: β: 1·36 (95 % CI −0·10, 2·83) to 4·63 (95 % CI 2·17, 7·09); severely food-insecure: β: 1·89 (95 % CI 0·36, 3·41) to 3·30 (95 % CI 1·50, 5·10). Enhancing food access, improving nutritional status and providing mental health support are crucial components of adolescent health.
Evaluation of the Queensland JEV vaccine program response to the 2022 Australian outbreak
Authors: Misan Angus , Lambert Stephen B. , Phung Hai , Young Megan K. 
Published: December 2024

Abstract
In 2022, the largest ever virgin soil outbreak of Japanese encephalitis (JE) occurred in Australia resulting in 45 reported human cases of JE, with seven fatalities. Japanese encephalitis virus (JEV) was detected in 84 piggeries across Australia. In response, states implemented targeted vaccination programs for those individuals at the highest risk of JEV exposure. A mixed methods approach, including geospatial mapping of JEV vaccine distribution in Queensland, a case series of Queensland human cases and interviews with Queensland Health staff, assessed the JEV vaccination response program. Five notified human cases were reviewed, with three having occupational outdoor risk and local travel-related exposure. Vaccine coverage ranged from 0 to 7.4 doses per 100 people after 12 months of the program. The highest uptake was in southern Queensland, where 95% of the state’s commercial pig population is located. The vaccination program was limited by a heavy reliance on general practitioners, vast geographical distribution of eligible populations, difficulties mobilising and engaging eligible cohorts, and suboptimal One Health collaboration. Population and climate factors make it possible for the virus to become endemic. Targeted vaccination programs remain an important strategy to protect people at the highest risk of exposure, however, program improvements are required to optimize vaccine accessibility.
Testing speakers’ use of the social meaning potential of variable liaison in spoken French
Authors: Martin Alexander , Corbeau Emma , Abbou Julie , Burnett Heather 
Published: December 2024

Abstract
The relation between perception and production in social meaning is often taken to be transparent, with social meaning associations learned from observations of language use. However, recent work has suggested that this relation is often more complex than previously thought. Here, we present new data comparing the social meaning of realized variable liaison in spoken French, couched within the framework of the pragmatic sociology of critique. We recall data from a recent matched guise experiment showing that listeners associate the realization of liaison with meanings like “professionalism”, specifically in social situations where efficacy and expertise are at issue. Basing ourselves on this finding, we use a production task, presenting these same social situations to amateur and professional actors. We find that our participants do not exploit the social meaning potential of variable liaison, producing liaison at lexically-determined rates on a par with previous corpus studies. We discuss this discrepancy between perception and production, which suggests that the link between the two is dependent on the linguistic variable under investigation.
Adverbial V3 in Early New High German? Construction(s) with So
Authors: Bloom Barthe 
Published: December 2024

AbstractThis article presents a constructional analysis of the uses of left-peripheral so in Early New High German. This element is known as a resumptive element, which takes up an adverbial clause and integrates it into a main clause. While this seems a valid analysis for constructions with preposed adverbial clauses, it is not compatible when so is preceded by adverbs or main clauses.First, a quantitatively informed picture is presented. A network is proposed that centers around a prototype in which so connects a protasis and apodosis when so follows verb-final and verb-initial clauses. Second, it is argued that so following verb-second clauses is loosely connected to this network. Finally, it is considered whether and to what degree the use of so following adverbs should be analyzed in the same way as so following adverbial clauses. It is argued that patterns with adverbs are not in paradigmatic relation with adverbial clauses. Moreover, their function is different, as they are backward-oriented and take up earlier constituents.
Deep-learning-based image compression for microscopy images: An empirical study
Authors: Zhou Yu , Sollmann Jan , Chen Jianxu 
Published: December 2024

Abstract
With the fast development of modern microscopes and bioimaging techniques, an unprecedentedly large amount of imaging data is being generated, stored, analyzed, and shared through networks. The size of the data poses great challenges for current data infrastructure. One common way to reduce the data size is by image compression. This study analyzes multiple classic and deep-learning-based image compression methods, as well as an empirical study on their impact on downstream deep-learning-based image processing models. We used deep-learning-based label-free prediction models (i.e., predicting fluorescent images from bright-field images) as an example downstream task for the comparison and analysis of the impact of image compression. Different compression techniques are compared in compression ratio, image similarity, and, most importantly, the prediction accuracy of label-free models on original and compressed images. We found that artificial intelligence (AI)-based compression techniques largely outperform the classic ones with minimal influence on the downstream 2D label-free tasks. In the end, we hope this study could shed light on the potential of deep-learning-based image compression and raise the awareness of the potential impacts of image compression on downstream deep-learning models for analysis.
Turfgrass tolerance to tetflupyrolimet applications for preemergence grassy weed control
Authors: Pritchard Benjamin D. , Breeden Gregory K. , Bowling Rebecca G. , Gannon Travis W. , Hutto Kendall C. , Brosnan James T. 
Published: December 2024

Abstract
Tetflupyrolimet (Dodhylex™ Active, FMC Corporation) is a novel herbicide inhibiting de novo pyrimidine biosynthesis that controls grassy weeds preemergence in rice (Oryza sativa L.) production. Field trials were conducted from 2021 to 2024 to evaluate turfgrass tolerance to tetflupyrolimet applications for annual bluegrass (Poa annua L.) and smooth crabgrass [Digitaria ischaemum (Schreb.) Schreb. ex Muhl.] control. Tolerance was evaluated on seven turfgrass species, including creeping bentgrass (Agrostis stolonifera L.), Kentucky bluegrass (Poa pratensis L.), tall fescue [Schedonorus arundinaceus (Schreb.) Dumort.; syn.: Festuca arundinacea Schreb.], hybrid bermudagrass [Cynodon dactylon (L.) Pers. × Cynodon transvaalensis Burtt-Davy], and manilagrass [Zoysia matrella (L.) Merr.] at various mowing heights ranging from 3.8 to 12.5 mm. Separate experiments were conducted on each turfgrass species to evaluate tolerance in both fall and spring. Tetflupyrolimet was applied at rates of 0, 25, 50, 100, 200, 400, 800, 1600, 3200, or 6400 g ai ha−1. No injury was observed on any warm-season turfgrass species in either season, whereas cool-season grass tolerance varied among species each season; however, cool-season turfgrass tolerance for all species was greater in spring than fall. While efficacy of tetflupyrolimet (400 g ha−1) for preemergence D. ischaemum control varied among years, mixtures of tetflupyrolimet (400 g ha−1), pyroxasulfone (128 g ai ha−1), and rimsulfuron (35 g ai ha−1) applied preemergence or early postemergence effectively controlled multiple-resistant P. annua in both seasons. Overall, these findings highlight that warm-season turfgrasses are highly tolerant of tetflupyrolimet applications for P. annua or D. ischaemum control.