bluuebunny/crossref_metadata_2025_split huggingface dataset:
Collaborative governance in disaster management and sustainable development
Authors: Dai Jiapeng , Azhar Aisha 
Published: August 2024

AbstractThis review article highlights the outcomes of collaborative governance in disaster management and its correlation with the United Nations Sustainable Development Goals (SDGs). Of particular interests are the origins and emergence of scholarship, core themes discussed under the subject, global contexts reported in the studies, and empirical findings regarding the relationship between collaborative governance in disaster management and the SDGs. The findings indicate that the USA dominates in publications on collaborative governance in disaster management. The most reported areas include COVID‐19, general theory development, the role of nonprofits, policy development frameworks, and other disasters including Hurricanes Katrina and Rita. The areas connected with the SDGs are grouped into three sections. The first section describes the study's focus on SDG 17, highlighting partnerships as pivotal for goal attainment; the second section examines the Sendai Framework's alignment with goals such as poverty eradication, urban resilience, climate action, and partnerships; while the third section addresses additional areas connected to foundational SDGs, outlining a comprehensive framework for collaborative governance research. The study concludes by proposing a research agenda for more research from multiple contexts and research on areas under a developmental agenda.
Social support and identity promote diverse participation in wildlife viewing
Authors: Jennings Kelsey , Dayer Ashley A. , Chaves Willandia A. 
Published: August 2024

Abstract

Wildlife viewing is growing in popularity, especially among Black, Indigenous and people of colour (BIPOC), whose participation has increased dramatically in the last 20 years. We used a nationwide sample of wildlife viewers to examine how identity as a wildlife viewer, the importance of wildlife viewing to one's life, ethnoracial identity and social support influenced the degree of participation in wildlife viewing.

We examined data as part of a non‐probabilistic online survey of wildlife viewers (n = 17,104). We were particularly interested in how participation, support, the importance of wildlife viewing, and identity as wildlife viewers varied across ethnoracial groups. Support has been found to influence involvement in various activities, while identity and importance have been shown to drive continued participation, suggesting that these factors may be of great value for encouraging and sustaining behaviour.

We found that, compared with White groups, multiple ethnoracial groups identified less as wildlife viewers. However, they indicated that wildlife viewing is more important to their lives. We also found that most ethnoracial groups received more support from friends, family, mentors and peers than White viewers.

This research can help understand the participation of Black, Indigenous and people of colour in outdoor recreation. Furthermore, this work demonstrates how legacies of racially motivated discriminatory policies may limit participation among ethnoracially diverse communities.

Read the free Plain Language Summary for this article on the Journal blog.
Sustainable strategy for the synthesis of novel vegetable oil derived polymeric materials
Authors: Slabu Andrei Iulian , Stan Raluca , Miu Laura , Necolau Madalina Ioana , Balanuca Brindusa , Teodorescu Florina 
Published: August 2024

AbstractThis study reports a sustainable strategy to produce polymeric materials with convenient properties, employing principles close to green chemistry, starting from epoxy/methacrylate vegetable oil monomers. New bio‐based derivatives were obtained from the well‐known epoxidized linseed oil, reacted with a renewable reagent, undecylenic acid, using suitable synthesis parameters in heterogeneous catalysis. The undecylenic double bonds grafted on the linseed oil structure were then reacted, resulting epoxidized undecylenic acid‐linseed oil (monomer 1). Monomer 1 was further used as an intermediate to obtain methacrylic derivatives: monomer 2—methacrylate epoxidized undecylenic acid‐linseed oil (bearing both epoxy and methacrylic moieties) and monomer 3—methacrylate undecylenic acid‐linseed oil (bearing only methacrylic functionalities). These three monomers were employed in different eco‐friendly ultraviolet/visible light curing attempts, proving their ability to generate polymer networks in different reaction conditions. The resulting materials were investigated through different thermal and thermo‐mechanical assays, establishing their general properties. The influence of the undecylenic fragments, epoxy/methacrylate content and curing conditions were established. Gel fraction varied according to the initial precursor composition (62/87% for the epoxy‐based materials; 58/91% for the methacrylic‐based materials). A good elasticity was observed for the new materials (Tg ranging from 20 to 44°C), and a great thermal resistance also (thermal degradation temperatures of 400/453°C for the epoxy network and 382°C for the methacrylic one), in good agreement with other studied mono‐ or di‐functional polymer matrices.
Fabrication of flat and sizeable nanocellular polymethyl methacrylate (PMMA) foam with tunable thermal conductivity
Authors: Gebremedhin Kiday Fiseha , Tolcha Solomon Dufera , Yeh Shu‐Kai 
Published: August 2024

AbstractPolymeric nanocell foam is a promising material that faces manufacturing challenges. Producing sizable and thick foams for properties testing has been challenging. This study aims to scale up and understand the foaming mechanism of nanocellular foams by controlling the saturation temperature, pressure, and molecular weight distribution of the matrix to fine‐tune the glass transition temperature of the polymer/gas mixture. The hot‐press foamed samples possess a 100 × 70 × 6 ~ 8 mm3 dimension and a cell size of less than 200 nm. Bimodal structures can also be created by controlling the critical processing parameters. Introducing 37% microcells into unimodal nanocellular foam reduced the relative density from 0.29 to 0.19. The thermal conductivity of the foams was tuned by controlling the cell size distribution. Unimodal nanofoams have the lowest thermal conductivity for foams of the same density due to the Knudsen effect and tortuosity. The measured thermal conductivity is in agreement with theoretical models.Highlights
PMMA nanofoam with a dimension of 100 × 70 × 6–8 mm3 and cell size below 200 nm.
The morphology of nanofoams was tuned to be unimodal and bimodal.
The foam density of the bimodal nanofoams was lowered below 0.238 g/cm3.
The thermal conductivity of foams was tuned by controlling the cell structure.
Enhancing water resistance and mechanical properties of starch‐based edible biofilms through chitosan, seaweed, and sodium tripolyphosphate modifications
Authors: Le Thu Ha , Dinh Duc Anh , Le My Tra , Le Thang Van , Bui Van‐Tien 
Published: August 2024

AbstractThe widespread use of single‐use plastic food wrapping and drinking straws has led to significant plastic and microplastic pollution, threatening environmental sustainability and human health. This study aims to provide sustainable alternatives by improving starch‐based biofilms' mechanical properties and water resistance for food wrapping and edible drinking straws. We modified starch with chitosan, raw seaweed, and sodium tripolyphosphate (STPP) to enhance these biofilms. Our results show that the optimal proportion of chitosan, combined with varying seaweed and STPP content, significantly improves the biofilms' properties. The developed starch‐based biofilms offer an eco‐friendly and sustainable alternative to single‐use plastic, with the potential for large‐scale, cost‐effective production.Highlights
Novel edible starch‐based biofilms were successfully prepared.
The biofilms made from renewable FDA‐approved edible materials.
Biofilms showed improved mechanical properties and water resistance.
The biofilms exhibited non‐toxic and antimicrobial properties.
Biofilms offer alternatives to single‐use plastic for food wrapping.
Mesoscale modeling of the Shock‐to‐Detonation Transition of pressed‐HMX based on a surface regression model
Authors: Saunier Jérôme , Chinnayya Ashwin , Kaeshammer Elodie , Reynaud Maxime , Genetier Marc 
Published: August 2024

AbstractShock‐to‐Detonation Transition (SDT) of heterogeneous high explosives results from processes occurring at the microstructural level. Thus, mesoscale modeling is expected to allow a better comprehension of the SDT. Recent experimental evidence suggested that hotspots mainly developed on the surface of the energetic crystals, which are then consumed by the propagation of a deflagration front. In the present study, mesoscale simulations of the SDT of pressed HMX were performed. The reactive model employed consisted of igniting the surface of the crystals after the shock passage, and reconstructing the burn front propagation, using a modified Youngs’ method. In this reactive model, the velocity of the deflagration front was modeled by a pressure‐dependent law, as suggested by the literature. The simulations showed that the Single Curve Initiation principle remained valid. The parameter deflagration velocity times the surface to volume ratio was found to enable the equivalence between microstructures. This approach provides a new framework to study the SDT of heterogeneous explosives, by considering how the combustion of energetic crystals participate to the shock acceleration and transition into a detonation. This paper serves as a proof of concept, applied to the pressed HMX.
Integrated pest management adoption among citrus growers in Iran: an application of the protection motivation theory
Authors: Abdollahzadeh Gholamhossein , Damalas Christos A. , Sharifzadeh Mohammad Sharif 
Published: August 2024

AbstractBACKGROUNDIntegrated pest management (IPM) is recognized as a sustainable approach to pest control. However, adoption rates among farmers in Iran have been observed to be low. This study investigates the adoption of IPM practices among citrus farmers in Iran and assesses the applicability of the protection motivation theory (PMT) in explaining farmers' behavior towards IPM.RESULTSOverall, farmers reported poor levels of IPM use, paying attention only to monitoring practices among the three groups of IPM practices examined (prevention, monitoring, and suppression). The perceived severity of the consequences of chemical pest control (β = 0.389, P < 0.001), the response efficacy of IPM practices (β = 0.254, P < 0.001), and the perceived self‐efficacy of using IPM practices (β = 0.199, P < 0.001) positively predicted adoption of IPM practices, while response cost/barriers of IPM practices (β = −0.355, P < 0.001) negatively predicted adoption of IPM practices.CONCLUSIONThe PMT model presents a unique and interesting perspective to understand if and how IPM practices against the threat of pests are motivated. The perceived severity of the consequences of chemical pest control showed the strongest positive effect, whereas the response cost/barriers of IPM practices showed the strongest negative effect on IPM adoption. © 2024 Society of Chemical Industry.
Effect of DFT Methods and Dispersion Correction Models in ONIOM Methodology on the Activation Energy of Butadiene Polymerization on a Neodymium‐Based Ziegler–Natta Catalyst
Authors: Masliy Alexey N. , Akhmetov Ildar G. , Kuznetsov Andrey M. , Davletbaeva Ilsiya M. 
Published: August 2024

ABSTRACTIn present work, using the double layer ONIOM methodology, we simulated the stages of initiation and growth of the polymer chain during the polymerization of butadiene on a neodymium‐based Ziegler–Natta catalyst. The DFT methods B3LYP and PBE0 in combination with the Def2‐TZVP atomic basis set were used as high‐level methods in ONIOM. Grimme's semi‐empirical XTB1 method was used as a low‐level method. In our previous work, the mechanism of butadiene polymerization on a neodymium‐containing Ziegler–Natta catalyst was studied in detail. The polymerization activation energy of 61 kJ/mol was found to be slightly higher than the experimentally determined values of this parameter. In the present work, the influence of a high‐level method and a model of taking into account dispersion interactions on the quality of calculation of activation parameters of the polymerization reaction was studied. Experimental activation energy for the polymerization of dienes in the presence of Ziegler–Natta catalysts is in the range of 30–60 kJ/mol, but neodymium‐based catalysts have an activation energy somewhat closer to the lower limit of this range. For comparison, semi‐empirical Grimme models D3 and D4 were used. It has been established that the both models reveal within the B3LYP method the activation energy practically the same, while within the PBE0 method it decreases to 41 kJ/mol. Thus, using the PBE0 as a high‐level method within the ONIOM methodology and taking into account dispersion interactions within the D4 model leads to results in much better agreement with experimental data.
Seymour's second neighbourhood conjecture: random graphs and reductions
Authors: Espuny Díaz Alberto , Girão António , Granet Bertille , Kronenberg Gal 
Published: August 2024

AbstractA longstanding conjecture of Seymour states that in every oriented graph there is a vertex whose second outneighbourhood is at least as large as its outneighbourhood. In this short note we show that, for any fixed , a.a.s. every orientation of satisfies Seymour's conjecture (as well as a related conjecture of Sullivan). This improves on a recent result of Botler, Moura and Naia. Moreover, we show that is a natural barrier for this problem, in the following sense: for any fixed , Seymour's conjecture is actually equivalent to saying that, with probability bounded away from 0, every orientation of satisfies Seymour's conjecture. This provides a first reduction of the problem. For a second reduction, we consider minimum degrees and show that, if Seymour's conjecture is false, then there must exist arbitrarily large strongly‐connected counterexamples with bounded minimum outdegree. Contrasting this, we show that vertex‐minimal counterexamples must have large minimum outdegree.
Central limit theorem in disordered Monomer‐Dimer model
Authors: Lam Wai‐Kit , Sen Arnab 
Published: August 2024

AbstractWe consider the disordered monomer‐dimer model on general finite graphs with bounded degrees. Under the finite fourth moment assumption on the weight distributions, we prove a Gaussian central limit theorem for the free energy of the associated Gibbs measure with a rate of convergence. The central limit theorem continues to hold under a nearly optimal finite ‐moment assumption on the weight distributions if the underlying graphs are further assumed to have a uniformly subexponential volume growth. This generalizes a recent result by Dey and Krishnan who showed a Gaussian central limit theorem in the disordered monomer‐dimer model on cylinder graphs. Our proof relies on the idea that the disordered monomer‐dimer model exhibits a decay of correlation with high probability. We also establish a central limit theorem for the Gibbs average of the number of dimers where the underlying graph has subexponential volume growth and the edge weights are Gaussians.
Effects of partial sleep deprivation on arterial vasculature in university students
Authors: Freitas Vânia , Rocha Clara , Santos Helder 
Published: August 2024

AbstractObjectivesInvestigate whether partial sleep deprivation for five nights causes vascular changes in healthy university students.Study designProspective observational study.MethodsThe study involved 18 young and healthy university students who were instructed to sleep as recommended for their age group for three consecutive nights. On the study's fourth night, participants slept a maximum of 5 h and, on the following nights, they slept less than 8 h. The assessments consisted of carotid assessment, flow‐mediated dilation, and blood pressure (BP) monitoring. During the 8 days studied, participants used actigraphy in their daily routine.ResultsA decrease in the BP of the common carotid artery (CCA), both systolic and diastolic resulted from partial sleep deprivation. After one night of partial sleep deprivation, there was a significant increase in peak systolic velocity and a significant decrease in the systolic diameter of CCA. However, the systolic velocity returned to values similar to those of the control group with the accumulation of nights with sleep deprivation.ConclusionsOur study indicates that those who do not get sufficient sleep, display sudden alterations in their cardiovascular parameters, which are consistent with an increased risk of developing coronary heart disease, myocardial infarction, stroke, and hypertension.
Fading corporate survival prospects: Impact of co‐selection bias in resource allocation on strategic intent
Authors: Burgelman Robert A. , Aaltonen Pertti 
Published: August 2024

AbstractResearch SummaryOur field study of new business development in a German‐based global pharmaceutical company reveals that the emergence of co‐selection bias in project‐level state‐gate resource allocation engendered a corporate‐level innovation portfolio imbalance. We show how the corporate portfolio imbalance resulted from incoherent managerial activities in the multilevel resource allocation process (RAP) decision context and how this caused fizzling out of the proactively established incipient strategic context of the favored‐for‐growth business unit. Moreover, we identify strategic RAP exploitation challenges that explain why sequential exploitation capability and exploitation drive deficits caused an exploitation trap that limited strategic discretion and stymied top management strategic intent to maintain the company's independence. Our integrated frameworks augment strategic management theory of corporate RAP and offer guidance for future research.Managerial SummaryWe draw attention to the little‐noticed phenomenon of co‐selection bias emerging in the project‐level state‐gate resource allocation to new business development and maladaptive corporate‐level innovation portfolio outcomes that it may produce. We show how top management can use the Bower–Burgelman RAP model to analyze the multilevel RAP decision context and identify the forces that may engender out‐of‐context managerial agency, such as co‐selection bias. We highlight strategic RAP exploitation challenges that top management must meet by matching the RAP exploitation drive with a commensurate RAP exploitation capability to avoid an exploitation trap, thereby increasing the chances of company survival.
Mechano‐Responsive Polymers and Nanocomposites: Recent Advances for Self‐Adaptive Structural Applications
Authors: Yoon Bumyong , Oh Taehoon , Chang Yoon Jin , Suhr Jonghwan 
Published: August 2024

AbstractPolymer nanocomposites exhibiting remarkable mechanical properties are a focus of research for decades in structural applications. However, their practical application faces challenges due to poor interfacial load transfer, nanofiller dispersion, and processing limitations. These issues are critical in achieving stiff, strong, lightweight, and structurally integrated materials. Additionally, they often suffer from predetermined properties, which may not be effective under specific loading conditions. Addressing these challenges, the development of design strategies for mechano‐responsive materials has advanced, enabling self‐adaptive properties that respond to various mechanical stimuli. Drawing inspiration from natural systems, these approaches have been implemented in synthetic material systems, leveraging the design flexibility of nanocomposites as needed. Key focus areas include exploring mechanoradical reactions for dynamic mechano‐responsiveness, as well as utilizing biomimetic mineralization and mechanical training for self‐strengthening. This work also examines multistability, enabling on‐demand deformation of materials and structures. Recent advancements in viscoelastic damping and nonreciprocal materials are discussed, highlighting their potential for directional energy absorption, transmission, and vibration control. Despite the need for significant improvements for real‐world applications, mechano‐responsive polymers and nanocomposites are expected to offer enormous opportunities not only in structural applications but also in other fields such as biomedical engineering, energy harvesting, and soft robotics.
Zinc Coordination Lipid Nanoparticles Co‐Delivering Calcium Peroxide and Chelating STING agonist for Enhanced Cancer Metalloimmunotherapy
Authors: Qiu Qian , Li Jiexin , Ren He , Zhang Jingyu , Liu Gengqi , Yang Ruiqi , Sun Boyang , Zhang Chen , Zhang Yumiao 
Published: August 2024

AbstractMetalloimmunotherapy has achieved great preclinical success against malignant tumors. Nonetheless, the limited immune cell infiltration and impaired immunogenicity within the tumor microenvironment (TME) significantly hinder its translation to clinical applications. In this study, a zinc coordination lipid nanoparticle is developed loaded with calcium peroxide hydrate (CaO2) nanoparticles and the STING agonist diABZI‐2, which is termed A‐CaO2‐Zn‐LNP. The release of Zn2+ from the A‐CaO2‐Zn‐LNP and the calcium overload synergistically induced immunogenic cell death (ICD). In addition, CaO2 nanoparticles can consume H+ and release oxygen (O2) under acidic conditions. This treatment increased the pH and alleviated the hypoxia of the TME. Along with cGAS‐STING activation by diABZI‐2, A‐CaO2‐Zn‐LNP ultimately results in enhanced anti‐tumor systemic immunity and long‐term immune memory via alleviating the immunosuppressive microenvironment. Taken together, A‐CaO2‐Zn‐LNP offers a new nanoplatform that expands its application for cancer treatment by metalloimmunotheray.
Electroactive Molecularly Imprinted Polymer Nanoparticles (eMIPs) for Label‐free Detection of Glucose: Toward Wearable Monitoring
Authors: Garg Saweta , Singla Pankaj , Kaur Sarbjeet , Crapnell Robert D. , Banks Craig E. , Seyedin Shayan , Peeters Marloes 
Published: August 2024

AbstractThe diagnosis of diabetes mellitus (DM) affecting 537 million adults worldwide relies on invasive and costly enzymatic methods that have limited stability. Electroactive polypyrrole (PPy)‐based molecularly imprinted polymer nanoparticles (eMIPs) have been developed that rival the affinity of enzymes whilst being low‐cost, highly robust, and facile to produce. By drop‐casting eMIPs onto low‐cost disposable screen‐printed electrodes (SPEs), sensors have been manufactured that can electrochemically detect glucose in a wide dynamic range (1 µm–10 mm) with a limit of detection (LOD) of 26 nm. The eMIPs sensors exhibit no cross reactivity to similar compounds and negligible glucose binding to non‐imprinted polymeric nanoparticles (eNIPs). Measurements of serum samples of diabetic patients demonstrate excellent correlation (>0.93) between these eMIPs sensor and the current gold standard Roche blood analyzer test. Finally, the eMIPs sensors are highly durable and reproducible (storage >12 months), showcasing excellent robustness and thermal and chemical stability. Proof‐of‐application is provided via measuring glucose using these eMIPs sensor in a two‐electrode configuration in spiked artificial interstitial fluid (AISF), highlighting its potential for non‐invasive wearable monitoring. Due to the versatility of the eMIPs that can be adapted to virtually any target, this platform technology holds high promise for sustainable healthcare applications via providing rapid detection, low‐cost, and inherent robustness.