bluuebunny/crossref_metadata_2025_split huggingface dataset:
Practical Awareness‐Based Strategies for Eating (PASE): A Pilot and Feasibility Randomized Trial
Authors: Arterburn David , Garcia Robin , Rosenberg Dori , Johnson Eric , Mettert Kayne , Ng Janet , Brewer Judson 
Published: February 2025

ABSTRACTBackgroundFew prior interventions for obesity have focused on reward‐related eating. Researchers developed a mobile health mindfulness‐based intervention, Eat Right Now (ERN), for improving reward related eating; ERN has not yet been feasibility tested as a weight loss intervention.ObjectiveTo obtain 6‐month pilot and feasibility data in patients using the ERN intervention alone or with asynchronous coaching.MethodsA 6‐month, two‐arm pilot and feasibility randomized trial was conducted involving 20 adults with a BMI ≥ 25 kg/m2 recruited from Kaiser Permanente Washington. Participants were randomized to ERN alone or ERN plus individualized coaching. Weight loss was assessed via a Wi‐Fi‐enabled digital scale.ResultsAmong the 20 randomized participants, 17 (85%) started the intervention and remained enrolled in six months. Among these, 82% (14/17) had weight data captured by a Wi‐Fi scale and 70.5% (12/17) completed follow‐up questionnaires at the 6‐month time point. The coached ERN participants had 4.3% weight loss (95% confidence interval (CI): 2.3%, 6.3%) and uncoached participants had 3.6% weight loss (95% CI: 1.2%, 5.9%). Participants in both approaches reported reductions in reward‐related eating.ConclusionsThis pilot randomized trial of ERN demonstrates the feasibility and acceptability of the intervention for the majority of both the coached and uncoached groups. Further efforts are needed to ensure high retention and data capture in future studies.
PMMA/MMA binary liquid resins and composites: Molecular weight, initiator selection, mechanical properties and pot life
Authors: Zhang Chong , Zhang Yiru , Gao Yafei , Li Jing , Zhang Jianmin 
Published: February 2025

AbstractThe replacement of thermosetting epoxy resins by thermoplastic polymers is a promising trend in the development of continuous fiber‐reinforced composites. Poly(methyl methacrylate) (PMMA) shows good mechanical properties and plasticity and is expected to be used as a polymer matrix material for composites. In this paper, the PMMA/methyl methacrylate (MMA) binary liquid resins were prepared and the effects of PMMA molecular weight and its concentration on the viscosity were investigated. A comparison was made between two types of initiators, BPO‐DMA (benzoyl peroxide and N‐N‐dimethylaniline) and LPO‐DMA (dodecanoyl peroxide and N‐N‐dimethylaniline), on the mechanical properties of PMMA casting and pot life of the binary liquid resins. It was observed that LPO‐DMA was more suitable for potential application during the preparation of large wind turbine blades, both in terms of mechanical performance and pot life. Furthermore, the tensile property, flexural property and interlaminar shear property of glass fiber‐reinforced PMMA composites were conducted, which were superior to epoxy resin composites, revealing the bright prospect of PMMA/MMA binary liquid resin.Highlights
A recyclable thermoplastic resin was developed for fiber reinforced composite.
The first study on the pot life of acrylic‐based infusion resins.
LPO‐DMA surpasses BPO‐DMA according to mechanics and pot life.
pH and Temperature Dependence of Low‐Core Tg Micellar Structures Formed by PDMAEMA‐b‐PLMA Diblock Copolymers in Aqueous Solution
Authors: Chrysostomou Varvara , Da Vela Stefano , Pispas Stergios , Papadakis Christine M. 
Published: February 2025

ABSTRACTA diblock copolymer featuring a hydrophobic block with a low glass transition temperature and a pH‐responsive, cationic block is synthesized and investigated with respect to its self‐assembly behavior in aqueous solution. The synthesis of the poly(lauryl methacrylate)‐block‐poly(2‐(N,N‐dimethylamino) ethyl methacrylate) diblock copolymer PDMAEMA60‐b‐PLMA40 is carried out using reversible addition fragmentation chain transfer (RAFT) polymerization. Its self‐assembly in dilute aqueous solution at pH 7 is investigated using various light scattering methods. Micelles with a positive zeta potential are identified. Synchrotron small‐angle X‐ray scattering reveals changes in the inner structure of the micelles as a function of temperature and at pH values above, below and close to the pKa value of PDMAEMA (ca. 7.5). At all pH values, cigar‐shaped core–shell micelles are found. While the micellar size and shape hardly change with temperature at pH 5, temperature responsivity is observed at pH 7 and 10, resulting in, among others, a change of the core size. These structural changes are facilitated by the softness of the PLMA core. Such systems may be suitable for the co‐delivery of hydrophobic drugs and nucleic acids.
Employing Best–Worst Approach and Distance‐Similarity Measure Based Aggregation Method in Intuitionistic Fuzzy Fault Tree Analysis for Risk Assessment With Application to Coal Dust Explosion
Authors: Kaushik Manvi , Kumar Mohit 
Published: February 2025

ABSTRACTFault tree analysis is a widely used method for analyzing the failure causes of systems and evaluating system safety and reliability. It is sometimes difficult to obtain the precise failure data of system components contributing to the system failure. Therefore, in practical applications, experts estimate the basic events' occurrence possibilities in the system fault tree. This article presents a novel system fault tree analysis to assess the probability of system failure through qualitative data as experts' opinions in an intuitionistic fuzzy environment. However, different experts may have varying opinions about the likelihood of a particular basic event. Thus, there is a significant challenge in aggregating the occurrence possibilities for a particular basic event provided by multiple experts. To address this issue, the paper introduces a novel method that employs distance and similarity measures to aggregate the judgments of various experts. Furthermore, to mitigate the potential for expert bias, the Best–Worst method is also utilized to assign weight to each expert. To validate the applicability and effectiveness of the proposed method, a case study on the coal dust explosion is presented. The probability of coal dust explosion is evaluated using qualitative data, and critical basic events that contribute to the explosion are identified using the Fussell–Vesely importance measure. To benchmark the proposed approach, the criticality ranking results of basic events are compared with existing methods, and the rankings are found to be almost similar.
Modeling and solution of the buckling problem of axially loaded laminated nanocomposite truncated conical shells in thermal environments
Authors: Avey Mahmure , Aslanova Nigar , Sofiyev Abdullah 
Published: February 2025

AbstractIn this study, the modeling and solution of buckling problem of axially loaded laminated truncated conical shells (LTCSs) consisting of functionally graded (FG) nanocomposite plies (NCPs) in thermal environments are investigated in the framework extended shear deformation theory (ST). The effective material properties and thermal expansion coefficients of each NCPs are computed using extended rule‐of mixture (ROM) method and molecular dynamics (MD) simulation techniques. Basic relations and equations for LTCSs consisting of NCPs in thermal environments are derived and solved to find the expression for the dimensionless critical axial load (DCAL). The numerical results of the theoretical approach are compared with reliable results found in the literature obtained using a different methodology. Finally, the effects of thermal environments, NCP models, shear stresses and lay‐up on the DCAL of LCTSs are studied.
Unsuspected diversity and multiple origins of the frog legs imported to Switzerland for human consumption, as determined by DNA barcoding and morphology
Authors: Dubey Sylvain , Pellaud Sébastien , Furrer Samuel , Dufresnes Christophe 
Published: February 2025

Abstract
The frog leg industry relies on a global, largely underregulated market with potentially important ecological impact such as the uncontrolled harvest of declining wild populations and the introduction of invasive species. Here, we inferred the taxonomic nature and geographic origins of frog legs imported to Switzerland by DNA barcoding. Out of 34 samples, we retrieved eight distinct lineages attributed to five species from four genera, namely Hoplobatrachus rugulosus from Vietnam, Fejervarya cancrivora from Indonesia (invasive on several Pacific islands), two phylogeographic lineages of Limnonectes macrodon from Western and Central Java, L. kadarsani from eastern Indonesia, and three phylogeographic lineages of Pelophylax ridibundus from northern and central southern Turkey (invasive in Western Europe). Only the first two species were correctly declared, which is particularly problematic to track down harvests of the declining and geographically restricted Limnonectes taxa. In this respect, we show that the three Asian genera can be reliably distinguished by basic measurements of the frog legs, which could be used in future forensic controls. Our study calls for more stringent international regulations of the frog trade, including shipment monitoring to document the relative abundance of harvested species and ensure the sustainability of their wild populations.
Analysis of coupling complexity in echo state networks via ordinal persistent homology
Authors: Haruna Taichi 
Published: February 2025

Abstract
We study coupling complexity in multivariate time series generated by echo state networks subject to i.i.d. input signals using the ordinal persistent index as a coupling complexity measure. Coupling complexity is a notion of complexity focusing on the relations among components of a given system. Given a time segment of a multivariate time series, its ordinal persistent index is defined by taking the persistent homology of a filtered simplicial complex reflecting similarity among the ordinal patterns of individual time series. As the strength of input signals increases, the dynamics of echo state networks shift from asynchronous ones to more synchronized ones. We show that the original ordinal persistent index cannot capture such change in the synchronization behavior, but a generalized version of the ordinal persistent index is sensitive to the change: the latter takes relatively high values between the two extremes, namely when the strength of input signals to the echo state networks is within a certain range of intermediate values.
BalanceVR: balance training to increase tolerance to cybersickness in immersive virtual reality
Authors: Yang Yechan , Kang Seonghoon , Kim Minchae , Kim Gerard Jounhyun , Kim Hanseob 
Published: February 2025

Abstract
Cybersickness (CS) is a serious usability problem in virtual reality (VR). Postural instability theory has emerged as one major hypothesis for the cause of CS. Based on such a hypothesis, we present two experiments to observe the trends in users’ trained balance ability with respect to their susceptibilities to CS. The first experiment (as a preliminary study) evaluated the effects of 2-week balance training under three different operational conditions: training in VR (VRT), training in non-immersive media with a 2D projection display (2DT), and VR exposure without any training (VRO; Baseline). The effect toward CS was tested not only in the training space but also in a different VR content to observe for any transfer effect. As results clearly indicated that the non-VR 2DT was ineffective in gaining any significant tolerance to CS, we conducted a follow-up second experiment with 1-week balance training, focusing on comparing only the VRT and VRO conditions. Overall, the experimental findings have shown, aside from the obvious improvement in balance performance itself, that accompanying balance training had the stronger effect of increasing tolerance to CS than mere exposure to VR. Furthermore, the tolerance to CS developed through VR balance training exhibited a transfer effect, that is, with reduced levels of CS in another VR content (not used during the training sessions).
A poisson cokriging modeling of mosquito-borne diseases in Colombia
Authors: Payares-Garcia David , Osei Frank , Mateu Jorge , Stein Alfred 
Published: February 2025

Abstract
Mosquito-borne diseases pose a significant public health concern in Colombia, necessitating robust quantification of their geographic patterns to guide and optimize interventions. This study explores the spatial dynamics and interactions among Zika, Dengue, and Chikungunya within the context of joint disease modeling in the Andean region of Colombia. Leveraging the Poisson cokriging method, we modeled and mapped an improved version of risks associated with the three diseases by incorporating a related mosquito-borne disease as secondary information while accounting for heterogeneous population distributions. Our findings reveal similar disease spatial risk patterns, suggesting possible shared localized transmission dynamics among the three diseases, with hotspots primarily occurring in municipalities characterized by high co-morbidity rates. The semivariogram and cross-semivariogram ranges suggested the potential influence of common local risk factors that might contribute to the spatial variation across the region. The smoothed disease risk maps highlight areas with elevated incidence rates, informing targeted intervention strategies. This study provides insights into the spatial distribution of the risk of Zika, Dengue, and Chikungunya, and hypothesize possible shared factors that drive their emergence in Colombia. It further highlights the utility of Poisson cokriging for improving disease risk mapping when auxiliary disease data are available, advancing the understanding of the intricate spatial relationships between related diseases.
Towards Consensus According to Experts on the Theorised Contribution of Vital Communities to Successful Ageing in Place: a Modified Delphi Study
Authors: Pani-Harreman Katinka E. , Bours Gerrie J. J. W. , Bleijlevens Michel H. M. C. , Kempen Gertrudis J. I. M. , Zwakhalen Sandra G. M. , Van Duren Joop A. M. 
Published: February 2025

Abstract
Older people value their independence and prefer to live in an environment they are familiar with and can benefit substantially from vital communities. The objective of this study is to examine the theorised contribution of vital communities to successful ageing in place, as increasing numbers of older people in western societies, are living longer independently at home, while their need for support gradually increases. A modified Delphi study was conducted and consisted of two stages. In the first stage, we conducted two panel discussions in order to develop statements representing the theorised contribution of the features of vital communities to the key themes of ageing in place. This was followed by the second stage which had three online Delphi rounds, and which aimed to reach a consensus among 126 international experts concerning the theorised contribution. The findings of this study showed a consensus among the experts about aspects that show the positive contribution with regard to the aim of vital communities (quality of life, belonging), and all the key themes of ageing in place (place, technology, social networks, support, personal characteristics). However, experts nuanced the theorised contribution of the mechanisms and typical characteristics of vital communities and the key theme of technology. According to the experts, whether technology contribute depends on the skills of older people and the type of technology. The findings of this study imply that vital communities could facilitate older people to age in place for as long as possible, while maintaining their quality of life.
Metastasising Pleomorphic Adenoma of the Parotid Gland: Where are We Now? A Systematic Literature Review
Authors: Andrea Sacchetto , Carlotta Liberale , Marina Silvestrini , Giulio Riva , Roberto Saetti 
Published: February 2025

Abstract

Purpose
Metastasising pleomorphic adenoma (MPA) is a rare malignant tumour that can affect multiple organs with a considerable time latency compared to primary pleomorphic adenoma (PA). To date, MPA and its clinical course, including survival and relapse rates, are still poorly understood.

Methods
We performed a systematic literature review following the PRISMA 2020 guidelines. The research was carried out using the PUBMED database and the following search terms: ((Metastatic) OR (metastases) OR (metastasis) OR (metastasizing)) AND (pleomorphic adenoma). The inclusion criteria for the final selection were: case reports or case series as study designs, availability of full text, and diseases specific to the parotid gland. Review articles, articles without full text, and studies on salivary glands other than the parotid gland were excluded.

Results
A total of 908 papers were initially selected and 42 patients. The mean age at the diagnosis of MPA was 49.2 years (range 13–75 years). The average interval of onset of first metastasis was 15.7 years (range 1.4–45 years). The most common sites of metastasis were the bones (23.8%) and lungs (23.8%). In 31 patients (73.8%) a surgical treatment for complete removal of MPA was performed, while 10 patients withstood definitive or adjuvant radiotherapy. The follow up status was described only in 22 out of 40 papers where only 3 patients died from the neoplasm.

Conclusion
MPA of the parotid gland is a rare condition. The transformation of a PA to MPA is unpredictable. Because of the scarcity of data in the literature, the long-term behaviour of metastatic neoplasm is uncertain. However, we found that 5 out of 19 patients experienced disease relapse after treatment. Additionally, the average survival rate for individuals with MPA of the parotid gland is 64% after 5 years. The preferred course of treatment, if possible, is the surgical removal of the neoplasm.
Spatio–Temporal Modeling and Spatial Inference Using NA-CORDEX Climate Data
Authors: Lin Wenyi , Schwartzman Armin 
Published: February 2025

Abstract
Responding to climate change requires not only modeling changing trends in temperature and precipitation over time but also doing so spatially, identifying geographical regions where such changes are more extreme. This work presents the construction of geographically weighted multivariate time-series models for temperature and precipitation, considering distinct distributional data assumptions in both spatial and temporal domains. To identify regions of significant change in the estimated trend parameters in the proposed models, we employ the spatial inference method of coverage probability excursion (CoPE) sets, providing spatial uncertainty on the regions whose changes exceed a certain threshold. The North American CORDEX (NA-CORDEX) data are used as a case study for the proposed spatio-temporal models and statistical inference method. The proposed models are used to analyze climate changing trends in three distinct geographical areas of the USA (the states of California, Colorado and Kansas), considering both historical and future series. The proposed models can serve as a reference for future studies related to regional climate data modeling and inference.
Microwave synthesis of alkyl levulinates using a Keggin heteropolyacid from the cellulose of Eichhornia crassipes
Authors: Monroy Andrés F. , Caicedo Gerardo A. , Rojas Hugo , Sathicq Ángel Gabriel , Romanelli Gustavo P. , Martínez José J. 
Published: February 2025

Abstract
Alkyl levulinates were synthesized directly from cellulose derived from water hyacinth (Eichhornia crassipes) using a Keggin heteropolyacid under microwave-assisted hydrolysis. The pretreatment method to obtain cellulose was identified as a key factor to achieve higher yields of butyl levulinate. Hydrothermal pretreatment with H2SO4 resulted in the highest cellulose yield, with minimal hemicellulose and lignin content, the highest crystallinity index, and reduced water adsorption, all contributing to an increased yield of butyl levulinate. Additionally, the use of longer-chain alcohols, such as pentanol, further enhanced the yield, indicating that solvent polarity significantly impacts on alkyl levulinate production.
Atmospheric emissions from maritime activities in Altamira, Gulf of Mexico
Authors: Antonio Durán R. E. , Sosa Echeverría R. , Fuentes García G. , César Valdez E. , Cortez-Huerta M. , Kahl J. D. W. 
Published: February 2025

Abstract
Altamira is one of the most important Mexican ports in the Gulf of Mexico, located in an important industrial and petrochemical, which is a high pollutant emission area. In this study, the atmospheric emissions generated by shipping activity in the port of Altamira were estimated, specifically those caused by engine combustion. Official data from the port of Altamira were used, covering the period from 2017 to 2022. The Bottom-Up approach was applied considering the maneuvering and hotelling phases of the ships. The calculated emissions covered various substances, including criteria pollutants, toxics, persistent organic pollutants, and greenhouse gases. Maneuvering and hotelling times were considered individually for each vessel to obtain a more accurate representation of emissions. Emissions were found to be directly influenced by several factors, including vessel operating times, number of recorded arrivals, and engine power. Emissions during the study period were higher in 2022 due to increased length of stay and the number of ships arriving. About the categorization of emitting vessels, it was determined that container ships stood out as the main generators of pollutants. This was followed by bulk carriers, which had long dwell times during the port phase, contributing to their higher emissions. In comparison tankers had relatively lower emissions compared to the other ship types. Finally, the ARIMA forecast model was applied to predict future NMVOC, CO2, and SO2 emissions.
Insights into the recognition mechanism of shark-derived single-domain antibodies with high affinity and specificity targeting fluoroquinolones
Authors: Liu Chang , Li Guoqiang , Chen Yuan , Lin Hong , Cao Limin , Wang Kaiqiang , Wang Xiudan , Flajnik Martin F. , Sui Jianxin 
Published: February 2025

Abstract
In this study, we investigated the molecular recognition mechanisms of shark-derived single-domain antibodies (ssdAbs) targeting fluoroquinolones using an integrated approach that combines in silico homologous modeling, molecular dynamics simulations, molecular docking, and alanine scanning mutagenesis. Three ssdAbs—2E6, 1N9, and 1O17—specific to enrofloxacin, norfloxacin, and ofloxacin, respectively, were selected based on previous work. Through AlphaFold2 and GalaxyWEB, the protein structures of these ssdAbs were predicted and optimized, followed by molecular dynamics simulations to emulate realistic protein behavior in a solvent environment. Molecular docking, alanine scanning mutagenesis, and subsequent verifications identified 30N and 93W of 2E6; 30N, 89R, 98Y, and 99D of 1N9; 100W and 101R of 1O17, all located within the complementarity determining region 3 loop, as critical for antigen binding. These residues primarily interact with their targets through hydrogen bonds, salt bridges, π–π stackings, and cation–π interactions. This study revealed, for the first time, the binding mechanism of ssdAbs to fluoroquinolones from a theoretical perspective, emphasizing the importance of aromatic and polar residues in recognizing characteristic epitopes, such as the carboxyl group at the C3 position and the 1-piperazinyl group at the C7 position. Our findings provide valuable insights for the rational design and enhancement of ssdAbs for detecting small molecule hazards in aquaculture.