bluuebunny/crossref_metadata_2025_split huggingface dataset:
Quantitative analysis of the compliance of EU Sewage Sludge Directive by using the heavy metal concentrations from LUCAS topsoil database
Authors: Yunta Felipe , Schillaci Calogero , Panagos Panos , Van Eynde Elise , Wojda Piotr , Jones Arwyn 
Published: January 2024

AbstractIn the European Union (EU), a common understanding of the potential harmful effect of sewage sludge (SS) on the environment is regulated by the Sewage Sludge Directive 86/278/EEC (SSD). Limit values (LVs) for concentrations of heavy metals in soil are listed in Impact Assessment of this directive, and they were transposed by EU member states using different criteria. Member states adopted either single limit values or based on soil factors such as pH and texture to define the maximum limit values for concentrations of heavy metals in soils. Our work presents the first quantitative analysis of the SSD at the European level by using the Land Use and Coverage Area Frame Survey (LUCAS) 2009 topsoil database. The reference values at the European level were arranged taking into account the upper value (EU_UL) and the lower value (EU_LL) for each heavy metal (arsenic, cadmium, copper, chromium, mercury, nickel, lead, and zinc) as well as taking into account the pH of the soil (cadmium, copper, mercury, nickel, lead, and zinc) as introduced in the SSD Annex IA. Single and integrated contamination rate indices were developed to identify those agricultural soils that exceeded the reference values for each heavy metal. In total, 10%, 36%, and 19% of the LUCAS 2009 topsoil samples exceeded the limit values. Additionally, 12% and 16% of agricultural soils exceeded the concentration of at least one single heavy metal when European LVs were fixed following the soil pH in Strategy II compared to those national ones in Strategy I. Generally, all member states apply similar or stricter limit values than those laid down in the SSD. Our work indicates that choosing LVs quantitatively affects further actions such as monitoring and remediation of contaminated soils. The actual soil parameters, such as heavy metal concentrations and soil pH values from the LUCAS 2009 topsoil database, could be used by SSD-involved policy stakeholders not only to lay down the LVs for concentrations of heavy metal in soils but also for monitoring the SSD compliance grade by using the LUCAS surveys over time (past and upcoming LUCAS datasets).
Marine Geophysical Survey of a Medieval Shipwreck in Shallow Waters Using an Autonomous Surface Vehicle: A Case Study from Avaldsnes, Norway
Authors: Ravnås Hallgjerd H. , Olsen Thomas M. , Weibull Wiktor W. , Reiersen Håkon , Ditta Massimiliano , Vivås Arild S. 
Published: January 2024

AbstractThis study demonstrates the successful use of a single-channel chirp system mounted on an Autonomous Surface Vehicle (ASV) for detecting and mapping a partly buried medieval ship found in water approximately one meter (m) deep in a dynamic, intertidal environment at Avaldsnes, south-western Norway. The ASV's fast mobilization and access to areas otherwise difficult to reach, makes it an efficient, low-cost, and non-invasive platform for examining the seafloor and subsurface with high-resolution seismic data, acquired in a dense grid. Line spacing of 0.25 m allowed for the generation of a detailed 3D data cube, enabling effective interpretation of both acoustic vertical sections and horizontal amplitude maps. This approach empowered accurate identification of the outline of the wooden hull and provided information about ship dimensions and maximum burial depth. Structural elements observed in the geophysical datasets, including the keelson, raiders, and maststep, corroborates with findings from previous diving investigations and photogrammetry documentation. Moreover, the geophysical survey offers valuable additional knowledge of the buried ship remains, revealing a slight tilt of the keel and a substantial object buried in close proximity to the stern, probably the rudder or another wreck-related artefact.
Responses of Coastal Wetlands to Rising Sea-Level Revisited: The Importance of Organic Production
Authors: Morris James T. , Sundberg Karen 
Published: January 2024

AbstractA network of 15 Surface Elevation Tables (SETs) at North Inlet estuary, South Carolina, has been monitored on annual or monthly time scales beginning from 1990 to 1996 and continuing through 2022. Of 73 time series in control plots, 12 had elevation gains equal to or exceeding the local rate of sea-level rise (SLR, 0.34 cm/year). Rising marsh elevation in North Inlet is dominated by organic production and, we hypothesize, is proportional to net ecosystem production. The rate of elevation gain was 0.47 cm/year in plots experimentally fertilized for 10 years with N&P compared to nearby control plots that have gained 0.1 cm/year in 26 years. The excess gains and losses of elevation in fertilized plots were accounted for by changes in belowground biomass and turnover. This is supported by bioassay experiments in marsh organs where at age 2 the belowground biomass of fertilized S. alterniflora plants was increasing by 1,994 g m−2 year−1, which added a growth premium of 2.4 cm/year to elevation gain. This was contrasted with the net belowground growth of 746 g m−2 year−1 in controls, which can add 0.89 cm/year to elevation. Root biomass density was greater in the fertilized bioassay treatments than in controls, plateauing at about 1,374 g m−2 and 472 g m−2, respectively. Growth of belowground biomass was dominated by rhizomes, which grew to 3,648 g m−2 in the fertilized treatments after 3 years and 1,439 g m−2 in the control treatments after 5 years. Depositional wetlands are limited by an exogenous supply of mineral sediment, whereas marshes like North Inlet could be classified as autonomous because they depend on in situ organic production to maintain elevation. Autonomous wetlands are more vulnerable to SLR because their elevation gains are constrained ultimately by photosynthetic efficiency.
Preclinical Models of Cardiac Disease: A Comprehensive Overview for Clinical Scientists
Authors: van Doorn Elisa C. H. , Amesz Jorik H. , Sadeghi Amir H. , de Groot Natasja M. S. , Manintveld Olivier C. , Taverne Yannick J. H. J. 
Published: January 2024

AbstractFor recent decades, cardiac diseases have been the leading cause of death and morbidity worldwide. Despite significant achievements in their management, profound understanding of disease progression is limited. The lack of biologically relevant and robust preclinical disease models that truly grasp the molecular underpinnings of cardiac disease and its pathophysiology attributes to this stagnation, as well as the insufficiency of platforms that effectively explore novel therapeutic avenues. The area of fundamental and translational cardiac research has therefore gained wide interest of scientists in the clinical field, while the landscape has rapidly evolved towards an elaborate array of research modalities, characterized by diverse and distinctive traits. As a consequence, current literature lacks an intelligible and complete overview aimed at clinical scientists that focuses on selecting the optimal platform for translational research questions. In this review, we present an elaborate overview of current in vitro, ex vivo, in vivo and in silico platforms that model cardiac health and disease, delineating their main benefits and drawbacks, innovative prospects, and foremost fields of application in the scope of clinical research incentives.
Multimodal transportation routing optimization based on multi-objective Q-learning under time uncertainty
Authors: Zhang Tie , Cheng Jia , Zou Yanbiao 
Published: January 2024

AbstractMultimodal transportation is a modern way of cargo transportation. With the increasing demand for cargo transportation, higher requirements are being placed on multimodal transportation multi-objective routing optimization. In multimodal transportation multi-objective routing optimization, in response to the limitations of classical algorithms in solving large-scale problems with multiple nodes and modes of transport, the limitations of directed transportation networks in the application, and the uncertainty of transport time, this paper proposes an optimization framework based on multi-objective weighted sum Q-learning, combined with the proposed undirected multiple-node network, and characterizes the uncertainty of time with a positively skewed distribution. The undirected multiple-node transportation network can better simulate cargo transportation and characterize transfer information, facilitate the modification of origin and destination, and avoid suboptimal solutions due to the manual setting of wrong route directions. The network is combined with weighted sum Q-learning to solve multimodal transportation multi-objective routing optimization problems faster and better. When modeling the uncertainty of transport time, a positively skewed distribution is used. The three objectives of transport cost, carbon emission cost, and transport time were studied and compared with PSO, GA, AFO, NSGA-II, and MOPSO. The experimental results show that compared with PSO, GA, and AFO using a directed transportation network, the proposed method has a significant improvement in optimization results and running time, and the running time is shortened by 26 times. The proposed method can better solve the boundary of the Pareto front and dominate the partial solutions of NSGA-II and MOPSO. The effect of time uncertainty on the performance of the algorithm is more significant in transport orders with high time weight. With the increase in uncertainty, the reliability of the route decreases. The effectiveness of the proposed method is verified.
A stable model for maximizing the number of significant features
Authors: Park Eunkyung , Wong Raymond K. , Kwon Junbum , Chu Victor W. 
Published: January 2024

AbstractIdentifying significant features (SFs) is important because they are driving factors of a target outcome. However, it is difficult when they have much more features than observations. The problem becomes more challenging when there are multicollinearity and infrequent common features. In such case, standard explainable methods such as OLS and Lasso often fail to identify many SF. To tackle these problems, we propose a stable model to maximize the number of SFs using selective inference called SFLasso-SI. First, in each point in the regularization path, SFLasso-SI conducts selective inference for conservative significance test. Then, it chooses the optimum value of regularization that maximizes the number of SFs. Our extensive experiments across different types of data - text, image, and video show that our SFLasso-SI can find the biggest number of SFs while maintaining similar prediction accuracy as the benchmarking methods.
Finite element investigation of cutting speed effects on the machining of Ti6Al4V alloy
Authors: Pal Surinder , Velay Xavier , Saleem Waqas 
Published: January 2024

AbstractIn modern times, titanium alloy has a great application prospect in the medical field. Still, the pitiful machinability of titanium alloy material brings incredible difficulty to its ultra-precision cutting. This work presented the effect of parametric sensitivity analysis of the orthogonal cutting process using the finite element method, which dramatically enhances the cutting performance of Ti–6AL–4V. The simulation results are attained by applying Abaqus® explicit 6.14 software. The mechanical reaction of two-dimensional finite element models has been examined for cutting forces. Additionally, the impacts of rake angle, clearance angle, and nose radius on the stress distribution in orthogonal cutting of Ti–6AL–4V have been investigated. Also, to make certain numerical accuracy, the Johnson–Cook constitutive models for Ti6Al4V alloy are implemented. In the end, FE simulation outcomes were supported by the reported results in the literature.
Towards consistency in dietary pattern scoring: standardising scoring workflows for healthy dietary patterns using 24-h recall and two variations of a food frequency questionnair
Authors: Arnoldy Lizanne , Gauci Sarah , Lassemillante Annie-Claude M. , Verster Joris C. , Macpherson Helen , Minihane Anne-Marie , Scholey Andrew , Pipingas Andrew , White David J. 
Published: January 2024

AbstractHealthy dietary patterns such as the Mediterranean diet (MeDi), Dietary Approaches to Stop Hypertension (DASH) and the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) have been evaluated for their potential association with health outcomes. However, the lack of standardisation in scoring methodologies can hinder reproducibility and meaningful cross-study comparisons. Here we provide a reproducible workflow for generating the MeDi, DASH and MIND dietary pattern scores from frequently used dietary assessment tools including the 24-h recall tool and two variations of FFQ. Subjective aspects of the scoring process are highlighted and have led to a recommended reporting checklist. This checklist enables standardised reporting with sufficient detail to enhance the reproducibility and comparability of their outcomes. In addition to these aims, valuable insights in the strengths and limitations of each assessment tool for scoring the MeDi, DASH and MIND diet can be utilised by researchers and clinicians to determine which dietary assessment tool best meets their needs.
Do Preliminary References Increase Public Support for European Law? Experimental Evidence from Germany
Authors: Cheruvu Sivaram , Krehbiel Jay N. 
Published: January 2024

AbstractExplanations for the successful expansion and consolidation of the European Union and its legal system have long emphasized the importance of domestic courts’ sending preliminary references to the Court of Justice. Key to many of these theoretical accounts is the claim that domestic courts are better equipped than the Court of Justice to compel national governments to comply with EU law. Integrating insights from the comparative judicial politics literature into the context of the EU's preliminary references system, we provide a theoretical and empirical foundation for this claim by arguing that incorporating domestic courts into the EU legal process enhances public support for expansive judicial interpretations of EU law. We go on to argue, however, that this transfer of legitimacy depends on citizens’ views of the national and European courts. We support our argument with evidence from a preregistered survey experiment fielded in Germany.
When and How Proactivity Impacts Vitality
Authors: Pingel Ruta , Fay Doris 
Published: January 2024

Abstract: Employee proactivity has been shown to have beneficial and detrimental effects on employees’ well-being. Drawing on self-determination theory, the present research identifies a moderator shaping these effects and sheds light on the process through which proactivity benefits well-being. Results of a time-lagged study with two measurement points ( N = 120) separated by a biweekly interval revealed that the relationship between proactivity and vitality depends on the level of autonomous motivation. Specifically, when autonomous motivation for proactivity was high, there was a positive association, when autonomous motivation was low, the relationship was negative. Notably, the direct effect of proactivity on vitality 2 weeks later was nonsignificant. A laboratory experiment ( N = 68) replicated the positive effect of autonomously motivated proactivity on vitality and identified autonomy need satisfaction as the mechanism through which this beneficial effect unfolds. Our research emphasizes the role of autonomous motivation in shaping the well-being outcomes of proactivity.
Detection of viable oral bacteria of the patient on the surgical mask of dentists
Authors: Gund Madline Priska , Naim Jusef , Lang Janina , Hannig Matthias , Gärtner Barbara , Halfmann Alexander , Boros Gabor , Rupf Stefan 
Published: January 2024

Abstract
Introduction and aim
Bioaerosols contaminate the personal protective equipment (PPE), especially masks. The PPE harbors microorganisms from various sources. However, no previous studies have investigated the specific sources of bacteria found on used masks and their correlation with those from the treated patient.

Setting, design, material and methods
Intraoral samples from the patient were collected prior to dental aerosol-producing treatments using a nylon flock fiber swab. After treatment, the practitioner’s mask was imprinted onto agar plates.

Main outcome methods
Following cultivation, colony forming units were counted and identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). After the samples were analyzed, the intraoral samples as well as the mask samples were assessed for the presence of identical species, which were subsequently quantified.

Results
126 treatments were included. One species match occurred most frequently (26.2%), followed by two (11.9%%) and three or more (3.97%). In the intraoral samples, Neisseria subflava occurred most often, within mask samples Staphylococcus epidermidis were detected most. Staphylococcus aureus could be cultivated three times more often in intraoral samples than on the mask.

Discussion and conclusion
Oral microorganisms originating from the patient’s oral cavity can be found on the outside of masks. When using PPE during treatments, it should therefore always be in mind that potentially pathogenic microorganisms may land on the mask becoming a source of for itself.
HOOK3 suppresses proliferation and metastasis in gastric cancer via the SP1/VEGFA axis
Authors: Yang Kexi , Li Juntao , Zhu Jinghan , Chen Yuqi , He Yuxin , Wang Jiayu , Shen Kanger , Wang Kun , Shi Tongguo , Chen Weichang 
Published: January 2024

AbstractHOOK3, a member of the human hook microtubule-tethering protein family, has been implicated in the progression of cancer. However, the role of HOOK3 in the pathogenesis of gastric cancer (GC) remains incompletely understood. In this study, we investigated the expression of HOOK3 protein in GC tissues using immunohistochemistry (IHC). The findings of our study indicate that the expression levels of HOOK3 in GC tissues were relatively low. Furthermore, a significant negative association was seen between HOOK3 expression and the prognosis of patients with GC. The suppression of HOOK3 resulted in a notable increase in the proliferation, migration, invasion, and survival of GC cells. Conversely, the overexpression of HOOK3 had the opposite impact, reducing these cellular processes. Moreover, in vivo tests have shown evidence that the overexpression of HOOK3 significantly inhibited the formation of tumors and the spread of GC cells to the lungs. In a mechanistic manner, the analysis of RNA-seq data demonstrated that the knockdown of HOOK3 resulted in a notable increase in the expression of vascular endothelial growth factor A (VEGFA) in GC cells. Furthermore, the upregulation of VEGFA counteracted the impacts of HOOK3 upregulation on the proliferation, migration, invasion, and survival of GC cells. Furthermore, it was revealed that specificity protein 1 (SP1) exhibited the ability to bind to the promoter region of VEGFA. Moreover, the overexpression of SP1 successfully counteracted the inhibitory impact of HOOK3 overexpression on the expression of VEGFA in GC cells. In summary, the results of our study indicate that HOOK3 has a role in inhibiting the growth, migration, invasion, and survival of GC cells by modulating the SP1/VEGFA pathway. These findings contribute significant knowledge to our understanding of the underlying mechanisms involved in the development of GC.
Recent progress in photoreactive crosslinkers in polymer network materials toward advanced photocontrollability
Authors: Masai Hiroshi , Nakagawa Tomoki , Terao Jun 
Published: January 2024

AbstractPhotochemically adaptable polymer materials, which change shape and physical properties under light irradiation, are widely used in the fields of medicine, electronics, and engineering due to their precise and remote processability. This processability is attributed to the photocleavage of chemical bonds introduced into the polymer materials. In particular, the efficient photolytic cleavage of the crosslinking points in the network induces rapid softening and degradation of the materials. Recently, diverse designs of light-responsive units have been developed to fabricate various photocontrollable materials with low-energy, rapid, and reversible photoreactivity. Furthermore, multiple stimuli-responsive materials have been demonstrated to control photodegradation reaction rates and photoreactivity by combining light with another stimulus, leading to advanced photocontrollable capabilities. This paper reviews the recent progress in developing photochemically adaptable polymer network materials by designing photoresponsive units, focusing on the chemical structures of cleavable moieties.
Variable swelling behavior of and drug encapsulation in a maleimide-modified hyaluronic acid nanogel-based hydrogel
Authors: Yabuuchi Kohei , Katsumata Toru , Shimoboji Tsuyoshi , Hashimoto Yoshihide , Kimura Tsuyoshi , Akiyoshi Kazunari , Kishida Akio 
Published: January 2024

AbstractHyaluronic acid (HA) has garnered much attention in the development of novel hydrogels. Hydrogels, as drug delivery systems, are very important in tissue engineering applications. In this study, we developed a novel HA nanogel containing a cholesterol and maleimide derivative (HAMICH) and its corresponding crosslinked hydrogel (HAMICH gel) to encapsulate drugs for their subsequent release. HAMICH gels self-assemble into nanoparticles via hydrophobic interactions. Dynamic light scattering analysis of HAMICH revealed that the particle size tended to decrease with increasing degree of cholesterol moiety substitution. The HAMICH gel was prepared through a Michael addition reaction between HAMICH and pentaerythritol tetra(mercaptoethyl)polyoxyethylene. The concentration of HAMICH needed for gelation depends on the degree of cholesterol moiety substitution; the higher the substitution degree is, the greater the concentration of HAMICH needed. The HAMICH gel exhibited less swelling and a smaller volume change than the gel with an unmodified cholesterol moiety in phosphate-buffered saline (pH 7.4). The HAMICH gel displayed enhanced peptide and protein trapping abilities without hydrogel swelling, suggesting its potential as a HA hydrogel for biomedical applications.
Anomalous enhancement of thermoelectric power factor in multiple two-dimensional electron gas system
Authors: Uematsu Yuto , Ishibe Takafumi , Mano Takaaki , Ohtake Akihiro , Miyazaki Hideki T. , Kasaya Takeshi , Nakamura Yoshiaki 
Published: January 2024

AbstractToward drastic enhancement of thermoelectric power factor, quantum confinement effect proposed by Hicks and Dresselhaus has intrigued a lot of researchers. There has been much effort to increase power factor using step-like density-of-states in two-dimensional electron gas (2DEG) system. Here, we pay attention to another effect caused by confining electrons spatially along one-dimensional direction: multiplied 2DEG effect, where multiple discrete subbands contribute to electrical conduction, resulting in high Seebeck coefficient. The power factor of multiple 2DEG in GaAs reaches the ultrahigh value of ~100 μWcm−1K−2at 300 K. We evaluate the enhancement rate defined as power factor of 2DEG divided by that of three-dimensional bulk. The experimental enhancement rate relative to the theoretical one of conventional 2DEG reaches anomalously high (~4) in multiple 2DEG compared with those in various conventional 2DEG systems (~1). This proposed methodology for power factor enhancement opens the next era of thermoelectric research.