bluuebunny/crossref_metadata_2025_split huggingface dataset:
Polydopamine‐Mediated Metal–Organic Frameworks Modification for Improved Biocompatibility
Authors: Feng Jiayu , Xu Liwang , Qi Lulu , Fu Zhengwei , Hu Qinglian 
Published: April 2024

AbstractEngineered nanomaterials are promising in biomedical application. However, insufficient understanding of their biocompatibility at the cellular and organic levels prevents their widely biomedical applications. Metal–organic frameworks (MOFs) have attracted increasing attention in recent years. In this work, zeolitic imidazolate framework‐8 (ZIF‐8) and polydopamine (PDA)‐modified ZIF‐8 are chosen as model nanomaterials due to its emergent role in nanomedicine. In vitro, the results demonstrate that the PDA coating greatly alleviates the cytotoxicity of ZIF‐8 to RAW264.7, LO2, and HST6, which represent three different cell types in liver organs. Mechanistically, ZIF‐8 entering into the cells can greatly induce the reactive oxygen species generation, which subsequently induces cell cycle delay and autophagy, ultimately leads to enhanced cytotoxicity. Further, human umbilical vein endothelial cells model and zebrafish embryos assay also confirm that PDA can compromise the ZIF‐8 toxicity significantly. This study reveals that PDA‐coated MOFs nanomaterials show great potential in nano‐based drug delivery systems
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Suitability of rapid chloride migration tests for determining the migration coefficient in mortars made from different novel binder types
Authors: Achenbach Rebecca , Raupach Michael 
Published: April 2024

AbstractThe main cause of corrosion of reinforcing steel, especially in infrastructure structures, is the penetration of chlorides, which can lead to high corrosion rates at the reinforcement steel. A frequently used accelerated test method to evaluate the chloride penetration resistance of concrete and mortars is the rapid chloride migration (RCM) test. The test was initially developed for ordinary Portland cement (OPC) based materials and involves spraying an indicator solution onto split test specimens to determine the penetration depth of the chloride ions. The pore solution compositions of new types of binders differ from OPC‐based materials, which can affect the reaction of the indicator solution. To investigate the suitability of the RCM test, the chloride content in the depth of the color change was determined in mortars made from different types of novel binders. The results show that the test provides reliable results for the binder types with partial replacement of OPC by supplementary cementitious materials. For binder types without OPC, there is a deviation in the migration coefficient due to a differing chloride concentration that triggers the color change.
Mitigating the conflict between economic and green development: Emission reduction mechanisms for vertical transfer payments
Authors: Yu Jing , Xiao Qian , Lin Chin‐Tsai 
Published: April 2024

AbstractThe impact of government behavior on emission reductions has gained widespread attention, but fewer studies have explored the relationship between vertical transfers (VT) and carbon emissions (CE). We empirically test the CE reduction mechanism of VT by constructing two‐way fixed effects models based on data of 278 Chinese cities from 2005 to 2020. Empirical analysis finds that VT reduce the taxing efforts of local governments and the tax burden of enterprises, promote the upgrading of enterprises' production technology, and ultimately reduces CE. Conclusions suggest that transfer payments should be actively used to establish preferential policies to assist enterprises in reducing CE.
Metabolite T1 relaxation times decrease across the adult lifespan
Authors: Murali‐Manohar Saipavitra , Gudmundson Aaron T. , Hupfeld Kathleen E. , Zöllner Helge J. , Hui Steve C. N. , Song Yulu , Simicic Dunja , Davies‐Jenkins Christopher W. , Gong Tao , Wang Guangbin , Oeltzschner Georg , Edden Richard A. E. 
Published: April 2024

AbstractRelaxation correction is an integral step in quantifying brain metabolite concentrations measured by in vivo magnetic resonance spectroscopy (MRS). While most quantification routines assume constant T1 relaxation across age, it is possible that aging alters T1 relaxation rates, as is seen for T2 relaxation. Here, we investigate the age dependence of metabolite T1 relaxation times at 3 T in both gray‐ and white‐matter‐rich voxels using publicly available metabolite and metabolite‐nulled (single inversion recovery TI = 600 ms) spectra acquired at 3 T using Point RESolved Spectroscopy (PRESS) localization. Data were acquired from voxels in the posterior cingulate cortex (PCC) and centrum semiovale (CSO) in 102 healthy volunteers across 5 decades of life (aged 20–69 years). All spectra were analyzed in Osprey v.2.4.0. To estimate T1 relaxation times for total N‐acetyl aspartate at 2.0 ppm (tNAA2.0) and total creatine at 3.0 ppm (tCr3.0), the ratio of modeled metabolite residual amplitudes in the metabolite‐nulled spectrum to the full metabolite signal was calculated using the single‐inversion‐recovery signal equation. Correlations between T1 and subject age were evaluated. Spearman correlations revealed that estimated T1 relaxation times of tNAA2.0 (rs = −0.27; p < 0.006) and tCr3.0 (rs = −0.40; p < 0.001) decreased significantly with age in white‐matter‐rich CSO, and less steeply for tNAA2.0 (rs = −0.228; p = 0.005) and (not significantly for) tCr3.0 (rs = −0.13; p = 0.196) in graymatter‐rich PCC. The analysis harnessed a large publicly available cross‐sectional dataset to test an important hypothesis, that metabolite T1 relaxation times change with age. This preliminary study stresses the importance of further work to measure age‐normed metabolite T1 relaxation times for accurate quantification of metabolite levels in studies of aging.
Multi‐mode non‐linear inversion of Rayleigh wave dispersion curves with grey wolf optimization and cuckoo search algorithm
Authors: Che Han , Shen Hongyan , Li Qingchun , Liu Guoxin , Yang Chenrui , Sun Yunpeng , Liu Shuai 
Published: April 2024

AbstractDispersion curve inversion is one of the core contents of Rayleigh wave data processing. However, the dispersion curve inversion has the characteristics of multi‐parameter, multi‐extremum as well as nonlinearity. In the face of Rayleigh wave data processing under complex seismic‐geological conditions, it is difficult to reconstruct an underground structure quickly and accurately apply a single global‐searching non‐linear inversion algorithm. For this reason, we proposed a strategy to invert multi‐order mode Rayleigh wave dispersion curves by combining with grey wolf optimization (GWO) and cuckoo search (CS) algorithms. On the basis of introducing the mechanism of iterative chaotic map with infinite collapses (ICMIC) and the strategy of dimension learning–based hunting (DLH), an improved GWO was developed that was called IDGWO (ICMIC and DLH GWO). After searching the near‐optimal region through IDGWO, the CS with a variable step‐size Lévy flight search mechanism was switched adaptively to complete the final inversion. The correctness of our method was verified by the multi‐order mode dispersion curve inversion of a six‐layer high‐velocity interlayer model. Then it was further applied to the processing of real seismic datasets. The research results show that our method fully utilizes the advantages of each of the two global‐searching non‐linear algorithms after integrating IDGWO and CS, while effectively balancing the ability between global search and local exploitation, further improving the convergence speed and inversion accuracy and having good anti‐noise performance.
Enhancing flame retardancy, anti‐impact, and corrosive resistance of TPU nanocomposites using surface decoration of α‐ZrP
Authors: Han Sensen , Li Shuangshan , Liu Dongyan , Dong Yu , Gao Ziqi , Zhang Yanxi , Meng Qingshi 
Published: April 2024

AbstractThe development of polyurethane composites with significant flame retardancy and corrosion resistance for widening its practical application is a great importance. In this study, supramolecular wrapped α‐ZrP (MCP@ZrP) was prepared via self‐assembly of melamine, cobalt ions (Co2+) and phytic acid (PA) on the surfaces of α‐zirconium phosphate (α‐ZrP). It was found that both compatibility and dispersion of α‐ZrP sheets in thermoplastic polyurethane (TPU) matrices were improved with the incorporation of organic supramolecular components in TPU/MCP@ZrP nanocomposites. Moreover, their fire‐retardant characteristic was significantly enhanced, along with effective suppression of smoke and toxic gas emission. By adding 5 wt% MCP@ZrP, peak heat release rate, total heat release, total smoke production, and total CO production of such nanocomposites were reduced by 35.66%, 18.01%, 15.52%, and 41.42%, respectively. The generation of a continuous and dense char layer benefited from well‐dispersed MCP@ZrP nanohybrids, which resulted in tortuous effect to impede heat diffusion and prevent the evaporation of volatile gasses. By means of the barrier effect of ZrP, TPU/MCP@ZrP composite films also showed improved anticorrosion performance. Effective interfacial adhesion, achieved by combining MCP supermolecules and α‐ZrP sheets, offers a viable approach to improve protective properties of TPU nanocomposites.Highlights
Supramolecular‐wrapped α‐ZrP was prepared via self‐assembly strategy.
MCP@ZrP showed good dispersion and interface adhesion within TPU matrices.
MCP@ZrP enhanced the flame retardancy and mechanical performance of TPU.
MCP@ZrP preventing smoke and toxic gas evaporation.
Effect of warp yarn paths on the symmetrical cyclic bending fatigue properties of 3D woven composites
Authors: Zhao Shibo , Chen Li , Gao Ziyue 
Published: April 2024

AbstractIn this study, the symmetric cyclic bending fatigue properties of three‐dimensional (3D) woven composites under the condition of R = −1 were investigated. Three types of 3D preform structures with different warp yarn paths were designed, and a bending fatigue testing fixture suitable for 3D woven composites under R = −1 conditions was developed. In addition, the bending fatigue properties, damage mechanisms, and failure modes of three composites were studied. The results showed that the warp yarn paths were responsible for the differences in quasi‐static bending properties. The bending fatigue properties were related to the warp yarn paths and applied stress. Satin woven (SW) structure had the highest bending fatigue failure strain value, followed by the twill woven (TW) structure, and the plain woven (PW) structure had the lowest. The bending fatigue limits of PW, TW, and SW structures were 40% (136 N), 40% (210.5 N), and 16% (119.4 N) stress levels, respectively. The bending fatigue failure mode of 3D woven composites was softening failure under the condition R = −1.Highlights
The warp yarn paths significantly affects the quasi‐static bending properties.
A symmetrical cyclic bending fatigue testing fixture was developed.
The symmetrical cyclic bending fatigue life of 3D woven composites was obtained.
SW composites have the highest bending fatigue failure strain value.
The symmetrical cyclic bending fatigue failure modes were softening failures.
Preparation of fluorinated chitosan‐based multifunctional materials with rapid hemostasis, anti‐infection, and non‐adhesive properties for wounds
Authors: Ren Yufang , Sun Zeyuan , Huang Yong , An Xiaoyan , Bian Xiaona , Cao Zhenhao , Liu Yifan , Javed Kanwal , Derkach Tetiana , Li Xue 
Published: April 2024

AbstractExcessive bleeding can give rise to a range of pathologies, encompassing hypothermia, coagulation disorders, infection, and hemorrhagic shock. Uncontrolled massive blood loss stands as one of the foremost contributors to mortality. Consequently, higher requirements are put forward for the promptness and efficacy of hemostasis. At present, the hemostatic materials available on the market still have the problem that the hemostatic effect is not ideal, the antibacterial effect is poor, which is easy to cause wound infection, and the removal of hemostatic materials will cause secondary bleeding. The present study describes the development of a novel multifunctional hemostatic material based on carboxymethyl chitosan (CMC). First, the fluorinated CMC (CMC‐FDA) is successfully synthesized via the Michael addition reaction utilizing 1H, 1H, 2H, 2H‐fluorodecyl alcohol (FDA), followed by the preparation of CMC‐FDA/PHMB materials through electrostatic interactions with polyhexamethylene biguanide (PHMB). The successful synthesis of CMC‐FDA/PHMB was characterized by XPS, FT‐IR, NMR, and so forth. The CMC‐FDA/PHMB coating exhibits excellent hemostatic properties through in vivo liver hemostasis and in vitro caudation hemostasis experiments. The hemostatic effect of CMC‐FDA/PHMB is highly pronounced, as evidenced by the results obtained for hemostasis time and blood loss. The experiment of simulating dynamic blood loss further confirmed that the gauze coated with CMC‐FDA/PHMB has excellent hemostatic performance. Moreover, the synthesized CMC‐FDA/PHMB coating demonstrates significant anti‐adhesion and antibacterial properties of Staphylococcus aureus and Escherichia coli, which could prevent of wound infection. Furthermore, the CMC‐FDA/PHMB coating exhibits non‐wettability due to its low surface energy of FDA, which can prevent blood wetting and thus play a hemostatic effect, synergistically with CMC. Additionally, the CMC‐FDA/PHMB coating demonstrates easy separation from the wound site attributed to it hydrophobic property. The results of the hemolysis and cytotoxicity tests verified the excellent biocompatibility of the CMC‐FDA/PHMB coating. This CMC‐FDA/PHMB material hold promising potential for rapid hemostasis and prevention of wound infection.
A practical guide to the appropriate analysis of eGFR data over time: A simulation study
Authors: DeVries Todd , Carroll Kevin J. , Lewis Sandra A. 
Published: April 2024

AbstractIn several therapeutic areas, including chronic kidney disease (CKD) and immunoglobulin A nephropathy (IgAN), there is a growing interest in how best to analyze estimated glomerular filtration rate (eGFR) data over time in randomized clinical trials including how to best accommodate situations where the rate of change is not anticipated to be linear over time, often due to possible short term hemodynamic effects of certain classes of interventions. In such situations, concerns have been expressed by regulatory authorities that the common application of single slope analysis models may induce Type I error inflation. This article aims to offer practical advice and guidance, including SAS codes, on the statistical methodology to be employed in an eGFR rate of change analysis and offers guidance on trial design considerations for eGFR endpoints. A two‐slope statistical model for eGFR data over time is proposed allowing for an analysis to simultaneously evaluate short term acute effects and long term chronic effects. A simulation study was conducted under a range of credible null and alternative hypotheses to evaluate the performance of the two‐slope model in comparison to commonly used single slope random coefficients models as well as to non‐slope based analyses of change from baseline or time normalized area under the curve (TAUC). Importantly, and contrary to preexisting concerns, these simulations demonstrate the absence of alpha inflation associated with the use of single or two‐slope random coefficient models, even when such models are misspecified, and highlight that any concern regarding model misspecification relates to power and not to lack of Type I error control.
Sustainability assessment of the agriculture sector using best worst method: Case study of Baltic states
Authors: Streimikis Justas , Bathaei Ahmad , Štreimikienė Dalia 
Published: April 2024

AbstractSustainable agriculture development holds significant global and regional importance, particularly within the Baltic countries. On a global scale, it is a critical strategy for meeting the escalating demand for food while simultaneously mitigating the adverse environmental and social consequences associated with agricultural practices. In the context of the Baltic nations, where agriculture constitutes a substantial portion of the economy, the adoption of sustainable farming practices is imperative for ensuring the sector's long‐term viability, safeguarding the integrity of the region's distinct ecosystems, and guaranteeing food security for their populations. A comprehensive understanding of the opportunities and challenges facing Baltic agriculture is impeded by a notable research deficiency concerning the intricate and distinct problems facing these nations. The use of indicators to assess economic sustainable agriculture indicators plays a pivotal role in guiding agricultural practices. By taking social and environmental variables into account, these metrics quantify the economic viability of farming. Consequently, these indicators empower policymakers and farmers alike to make well‐informed decisions, striking a balance between profitability and resource conservation, thereby contributing to the enduring sustainability of agriculture in the Baltic countries and beyond. Notably, a comprehensive assessment of economic sustainability in agriculture identified 31 indicators, which were refined to 9 through expert consensus using the Delphi method. Subsequently, the best worst method was applied to rank these indicators. The results indicate that investment intensity, diversification of income, agricultural labor productivity, and market access emerge as the most crucial indicators for ensuring economic sustainability in agriculture.
Mechanical performance and structural application of a novel basalt‐fiber‐reinforced ultra‐high‐performance seawater‐sea‐sand concrete (UHPSSC) with basalt coarse aggregate
Authors: Sun Xiaoyan , Liu Jingrui , Zhao Weijian , Wang Hailong , Yang Yuanzhang 
Published: April 2024

AbstractAs unlimited resources, seawater and sea sand (SS) could be used as alternatives for fresh water and river sand in concrete constructions in areas with limited resources, such as mega‐cities and islands. To further improve the material efficiency, SS have been used to fabricate the ultra‐high‐performance seawater‐sea‐sand concrete (UHPSSC) in the literature. This work proposes a new type of UHPSSC, which incorporates basalt fibers to enhance the tensile property and coarse aggregate (CA) to improve the modulus. To investigate the contributing factors to the mechanical performance, 12 mixes of different fiber lengths, fiber volumes, and CA contents were designed and tested under compression and flexure. To verify the validity of the proposed UHPSSC in structural elements, six beam specimens reinforced with basalt‐fiber‐reinforced polymer (BFRP) bars were designed and tested. The influence of the tensile properties of the proposed UHPSSC and BFRP flexural reinforcement designs was analyzed. This research shows that with a proper mix design, the proposed UHPSSC has a maximum compressive strength of 140 MPa, exceeding the benchmark strength of 120 MPa for ultra‐high‐performance concrete. With different mix designs, the compressive strength of the proposed UHPSSC varies from 101.5 to 140.5 MPa and the flexural strength varies from 10.8 to 15.4 MPa at 28 days. At different curing ages, the basalt fiber length and volume have more significant impacts on the flexural strength but have limited impact on the compressive strength. Although an optimal CA content of 400 kg/m3 was found for the compressive strength and the CA content could amplify the influences of the fiber length and volume on the flexural strength. With the flexural reinforcement ratio varying from 0.58% to 1.29%, the UHPSSC beam specimens failed with expected flexural failure and the ultimate capacities varying from 118 to 183 kN, showing a predictable manner. Improving the tensile strength of the proposed UHPSSC could effectively enhance the cracking load and expand the stiffness degradation phase.
Factor analysis of environmental effects in circular closed‐loop supply chain network design and modelling under uncertainty in the manufacturing industry
Authors: Karunakaran Sunil Kumar , Ramasamy Narayanan , Anand Manoharan Dev , Santhi Nagarajan 
Published: April 2024

AbstractSustainable development and competitive advantage are impacted by strategic choices that maximize resource value and reduce waste. Numerous instances of thriving OEM remanufacturing can be observed, predominantly in the business‐to‐business domain. The significance of Closed‐Loop Supply Chain (CLSC) in generating value and managing the recovery process is widely acknowledged within the supply chain industry. Manufacturing companies now have to come up with green supply chain and process design strategies in response to recent changes in environmental regulations. This study designates the specific features of circular closed‐loop supply‐chain design considering end‐of‐life products. Uncertainty in various aspects, such as acquisition, processing, and market stages, is impeding the progress of circular economies and also sustainable development in closed‐loop supply chains (CLSCs). This has led to increased complexity in remanufacturing processes and decreased efficiency. To address this issue, the study proposes a comprehensive, integrative approach for establishing a sustainable CLSC network that adapts to fluctuating demand through a questionnaire analysis. Moreover, the study introduces a multi‐objective optimization model for a dual‐channel supply chain network, aiming to enhance the flow. This model considers both economic and environmental objectives to achieve a sustainable and efficient supply chain system. To determine the ideal circular closed‐loop supply chain (CLSC) network design, the research proposes linear programming model with mixed integer, where recovery can take place in one of three ways: through material recovery, component recovery, or product recovery. Numerous findings from a thorough analysis by data backup that inform CLSC managers of ways to improve product returns in terms of quantity and quality. To address the uncertainty problem, the research also developed the fuzzy credibility constraint technique with a Simulated Annealing algorithm. Using cutting‐edge methods, it is explored and compared how sensitivity analysis results, the impact of altering the problem parameters, and the performance of the suggested model respectively.
A high‐performance cell‐labeling NIR‐II dye for in vivo cell tracking
Authors: Sun Bin , Ma Rui , Wang Xin , Ma Shengjie , Li Wenzhong , Liu Tianyi , Zhu Wenhao , Ji Zhengchao , Hettie Kenneth S. , Liu Chunchen , Liang Yongye , Zhu Shoujun 
Published: April 2024

AbstractFluorescent dyes that emit in the second near‐infrared (NIR‐II, 1000–3000 nm) region have provided significant advances toward real‐time and high‐resolution imaging of vessel and lymphatic system. However, in vivo NIR‐II tracking of the fate of labeled cells still remains challenging. Here, we develop a shielding unit–donor–acceptor–donor–shielding unit (S‐D‐A‐D‐S) NIR‐II fluorophore (FE‐4ZW) with zwitterionic terminal groups for high‐efficiency cell labeling without using cell‐penetrating peptides, which provides for enhanced non‐invasive in vivo determination of the location of cell migration. The tethering terminal sulfoammonium inner salts are featured with its high affinity for cell membranes, thereby enabling the stable labeling even for fixed cells. The fate of transplanted stem cell and the tumor cell migration along lymphatic system in brain or periphery tissues are clearly monitored by the cell‐internalized FE‐4ZW. We also confirmed that a clinically used surfactant, D‐α‐tocopheryl polyethylene glycol‐1000 succinate, can reduce the liver and spleen uptake of FE‐4ZW. The fluorophore design strategy and cell‐labeling technology reported here open a new realm in the visualization of cell migration and insight into the relocation process, thereby ultimately providing an opportunity to investigate in greater detail of the underlying mechanisms of stem cell therapy and tumor metastasis.