bluuebunny/crossref_metadata_2025_split huggingface dataset:
3D printing single‐stroke path planning, local reinforcement and performance testing of MBB beams and cantilever beams
Authors: Wang Jianshu , Fu Hongya , Han Zhenyu , Jin Hongyu , Zhang Peng , Sun Shouzheng 
Published: September 2024

Abstract3D printing of continuous fiber reinforced thermoplastic composites (CFRTPCs) has been applied for the molding of composite complex structures due to the advantages of flexibility and one‐step forming. In this study, feature points simplification, merging and rearrangement were accomplished for Messerschmitt‐Bölkow‐Blohm (MBB) beam and cantilever beam to generate single‐stroke print paths for the specimens. For the significant stress areas in the finite element analysis results of these structures, a local reinforcement method using orthogonal layups was proposed, which was achieved by raising and lowering the print head and adjusting the fiber volume fraction during the printing. After experimental validation and failure modes analysis, the path planning significantly improved the peak load and structural stiffness of the specimens, and the local reinforcement further enhanced the equivalent specific strength and specific stiffness. This study provides a single‐stroke 3D printing strategy for complex structure molding in conjunction with parameter adjustments.Highlights
A single‐stroke path planning was developed for MBB beams and cantilever beams, including simplification, merging and rearrangement methods for feature points.
A local reinforcement method was proposed, which was achieved by raising and lowering the print head and adjusting the fiber volume fraction during the printing process.
The effect of different print paths on specimen properties was investigated.
A review on recent applications of machine learning in mechanical properties of composites
Authors: Liang Yi , Wei Xinyue , Peng Yongyue , Wang Xiaohan , Niu Xiaoting 
Published: September 2024

AbstractComposites are undergoing extensive research and utilization due to their excellent mechanical properties, driven by human needs. Traditionally, the research methods in materials science predominantly rely on empirical theory or experimental trial and error approaches. However, the increased complexity of composite materials results in a greater intricacy in their mechanical behavior. Consequently, the utilization of traditional research methods may not achieve sufficient efficiency. Materials science is rapidly transitioning into a data‐driven era, with machine learning (ML) emerging as a potent tool to expedite materials development and enhance properties prediction. Significant advancements have been achieved in the application of ML to the study of composite mechanics. In this review article, we elucidate various ML methods employed in the construction of constitutive models for isotropic and anisotropic composites, and delve into the research on construction ML models that leverage input data derived from composite processes, structures, and environmental conditions to predict material mechanical properties. Additionally, we summarize recent noteworthy ML applications in composite design and optimization. Finally, possible prospective viewpoints are proposed for future development, with the aim of providing essential scientific guidance for advancing material science and technology through ML.Highlights
Machine learning can address complexity in constitutive model of the anisotropic composites.
Machine learning predicts mechanical properties of composites well by process and structure.
Machine learning enhances efficiency in inverse design to optimize composites.
Limitations, challenges, development trends of ML in composites.
Green and safe preparation of antibacterial sutures composed of PLA ultrafine fibers
Authors: Wang Yuhang , Fu Hongyan , Tan Jing , Bubakir Mahmoud M. , Xu Xiaodong , Li Haoyi , Yang Weimin 
Published: September 2024

AbstractThe electrospun yarn for sutures has gained worldwide attention due to its fine fibers that resemble the extracellular matrix and its abundant functional sites. However, the use of a large number of toxic solvents poses safety risks and environmental pollution during production, making it challenging to directly apply electrospun yarn in the biomedical field. In this study, an environmentally friendly and safe method without toxic solvents was proposed for preparing antibacterial PLA ultrafine fiber sutures. This method involves melt electrospinning, hot‐stretching, low‐temperature plasma treatment, and chitosan grafting. The PLA ultrafine fiber sutures exhibit a high tensile strength which is 2.04 N before knotting and 1.57 N after knotting. The suture diameter is 118.7 μm and average fiber diameter is 1.72 μm. Chitosan grafted on the fiber surface provides excellent antibacterial properties for the sutures, with antibacterial rates against Escherichia coli and Staphylococcus aureus reaching 99.89% and 99.11%, respectively. The cell survival rate is 97.33%, while hemolysis rate is only 2.35%, demonstrating excellent biocompatibility of PLA ultrafine fiber sutures. This study presents a green and safe method for preparing clinically applicable absorbable antibacterial surgical sutures with high mechanical properties.Highlights
A green and safe method for preparing PLA‐CS ultrafine fiber sutures.
PLA‐CS suture with a tensile strength of 2.04 N and a fiber diameter of 1.72 μm.
PLA‐CS suture with good antibacterial property and biocompatibility.
Protective Effects of Antimicrobial Peptide Microcin J25 (MccJ25) Isolated From Escherichia coli Against Breast Cancer Cells
Authors: Shalibeik Saman , Ghandehari Fereshte , Ahadi Ali‐Mohammad , Rastegari Ali‐Asghar , Ghiasian Mojgan 
Published: September 2024

ABSTRACTMicrocins are antimicrobial peptides (AMPs) with low molecular weight, which are produced by Enterobacterales and have broad‐spectrum antibacterial activity. Alternative approaches like AMPs could help conventional anticancer treatments to fight malignant cells. The present study endeavors to examine the antitumor activity of microcins isolated from different Enterobacterales strains. In total, 120 Enterobacterales isolates were examined after identification. Subsequently, the bacteria were subjected to an agar diffusion test to assess their antibacterial efficacy. Positive isolates were further examined for the presence of Mccj25 using PCR. The cytotoxic effects of isolates harboring the microcin gene were explored using quantitative real‐time PCR (RT‐qPCR) and the MTT test on breast cancer cells. In addition, the expression levels of BCL2 and STAT3 genes were evaluated, and apoptosis was quantified using flow cytometry. The repair rate of normal cells was determined using a scratch assay. The findings obtained from the phenotypic and biochemical assays have duly verified and established the categorization of the Enterobacterales. After conducting the agar diffusion test, a total of 25 isolates of Escherichia coli and Klebsiella pneumoniae displaying inhibition zones were chosen as suitable specimens possessing AMPs. The analysis conducted on the expression of the Mccj25 gene within the aforementioned isolates indicated that Isolate 83 exhibited significant expression of the Mccj25 gene. The extract obtained from this isolate on the breast cancer cell line exhibited the most significant degree of toxicity after 48 h. Furthermore, the treatment of breast cancer cells with Isolate 83 showed that the rate of apoptosis was about 86%, and the expression of BCL2 and STAT3 genes decreased. Contrarily, it potentiated the reparative ability of nontumoral fibroblasts, supporting the in vitro safety toward normal cells and, at the same time, the selectivity against malignant ones. In summary, our results highlighted a significant growth suppression of breast cancer cells with an escalated rate of cellular demise via the apoptosis pathway.
Landsat Analysis of Terraced Thermokarst Lake Variability on Alaska's Coastal Plain
Authors: Fratkin Michael Mulugetta , Piliouras Anastasia 
Published: September 2024

ABSTRACTThermokarst lakes are abundant across the Arctic landscape. Although they are largely understood to form due to thawing permafrost and subsidence, these lakes exist in a variety of forms, shapes, and sizes. Some lakes across the Arctic exhibit shallow subaqueous terraces. The terraces have previously been shown to maintain permafrost beneath them due to the presence of bedfast ice during most of the year, whereas a talik develops beneath the deeper central pool. However, the formation of these terraces and their prevalence across the Arctic are currently unknown. In this study, we mapped the locations of thermokarst lakes and their terraces in the Alaska coastal plain using Landsat imagery. We found that terraces are larger and more abundant in sandy deposits, occupying an average of 40% of the lake area, compared to 20% of the lake area in non‐sandy lithologies. Terraces are most often found on the eastern and western lake shorelines, likely associated with regional wind directions, forming on the long sides of northwest–southeast oriented lakes. We propose a conceptual model for terrace formation in sandy deposits that describes the growth of shallow littoral shelves that protect the eastern and western shorelines from erosion while allowing lake extension in the northwest and southeast directions. Finally, given the close association between bedfast ice, talik extent, and the shallow subaqueous terraces, we suggest that mapping of these relatively stable terraces may provide insights about talik extent across the Arctic coastal region. Continued warming and changes to lake ice regimes are likely to increase talik extent, which may be easily observable by temporal analysis of terrace abundance and extent in widely available remotely sensed imagery.
Impacts of climate change on the transcriptional dynamics and timing of bud dormancy release in Yoshino‐cherry tree
Authors: Miyawaki‐Kuwakado Atsuko , Han Qingmin , Kitamura Keiko , Satake Akiko 
Published: September 2024

Societal Impact StatementThe iconic Yoshino cherry tree in Japan is experiencing shifts in its blossom timing due to climate warming. To develop a genetically informed predictive model for bud dormancy release, we examined seasonal gene expression in Yoshino cherry trees at three different locations. Our experiments, coupled with the analysis of DORMANCY‐ASSOCIATED MADS‐box (DAM) genes, highlighted DAM4 as the most reliable indicator for the rate of bud dormancy release. Our study demonstrated that seasonal gene expression profiles serve as a valuable indicator for forecasting the timing of dormancy release, benefiting Japanese traditions and providing insights into the biological impacts of climate change.Summary

The Yoshino cherry tree Cerasus × yedoensis ‘Somei‐yoshino’ stands out as an iconic springtime symbol in Japan. For the Yoshino cherry trees to bloom in the spring, dormant buds must undergo a period of exposure to low temperatures, allowing them to break dormancy. Key genes related to dormancy release, known as DORMANCY‐ASSOCIATED MADS‐box (DAM), have been extensively studied. However, it remains unclear how these genes function in natural environments to regulate the timing of bud dormancy release.
To develop a genetically informed predictive model for bud dormancy release, we explored seasonal changes in genome‐wide gene expression profiles in the Yoshino cherry trees at three distinct sites in Japan. Five distinct genome‐wide transcription profiles, subjectively named as modes—early summer, summer, autumn, winter, and spring—were identified, with the winter and spring modes observed when the daily mean temperature was below approximately 10°C.
Our experiments of bud dormancy release, along with the assessment of expression profiles of DAM genes, have revealed that among the six DAM genes, DAM4 expression profile is the most indicative of the rate of bud dormancy break. Our estimates suggest that, on average, the tree needs to be exposed to temperatures below 10.1°C for 61.1 days to suppress DAM4 expression to the threshold required for bud dormancy release.
Our projections for the timing of bud dormancy release indicated a delay of approximately 2.3 days per decade from 1990 to 2020. Our study demonstrated that gene expression serves as a valuable indicator for forecasting the timing of dormancy release.
From Atmosphere to Health Outcomes: Analyzing Predictors of Respiratory Disease Mortality in Turkiye
Authors: Kocak Mehmet , Kocak Asli Nurefsan 
Published: September 2024

ABSTRACTBackgroundAsthma, chronic obstructive pulmonary disease (COPD), and pneumonia are significant contributors to morbidity and mortality worldwide. Identifying the predictors of mortality due to these diseases is crucial for effective public health interventions.MethodsWe conducted a longitudinal trajectory modeling using SAS TRAJ procedures on data from 81 provinces in Turkiye, categorizing death rates into two profiles for asthma and COPD and three for pneumonia. Environmental and socioeconomic factors were examined as potential predictors through logistic regression modeling.ResultsFor asthma, none of the predictors met the false discovery rate (FDR) threshold for significance, suggesting the need for further research. In contrast, COPD predictors showed robust associations with mortality rates, particularly concerning environmental factors such as humidity and temperature. Pneumonia mortality was significantly associated with factors, including air pressure, humidity, temperature, alcohol use, and particulate matter.ConclusionThe study reveals distinct mortality profiles for respiratory diseases and highlights the importance of environmental and lifestyle factors as predictors. These findings emphasize the need for targeted public health strategies and interventions to manage these diseases effectively.
A Quantum Image Secret Sharing Scheme Based on Designated Multi‐Verifier Signature
Authors: Wang Ye , Xu Guang‐Bao , Jiang Dong‐Huan 
Published: September 2024

AbstractThis paper presents a quantum image secret sharing scheme based on designated multi‐verifier signature. First, share images are generated by a 2D hyperchaotic system incorporating sinusoidal mapping, Henon mapping, and Cubic mapping using the cascade modulation method. Quantum Arnold scrambling and diffusion are performed on the secret image. Subsequently, the concept of designated multi‐verifier signature is introduced. In the secret image sharing phase, the pixel values of the share images are used to sign the secret image, and the signed secret image and share images are sent to a trusted third party and designated verifiers, respectively. In this scheme, no carrier images are required, and the share images held by the participants do not contain any information about the secret image. Finally, simulation experiments and security analysis are conducted on IBM Qiskit platform and Matlab software.
Pulmonary vasodilators in patients with advanced chronic kidney disease and pre‐capillary pulmonary hypertension—A case series
Authors: Leguizamon Raul , McLaren Ian , John Tara , Khan Rasha , Prendergast Alexander , Wattanachayakul Phuuwadith , Geller Andrew , Malin John , Jarret Simone A. , Lo Kevin Bryan , Martinez Manzano Jose Manuel , Witzke Christian 
Published: September 2024

AbstractPulmonary hypertension (PH) is a prevalent complication among patients with chronic kidney disease (CKD). In these patients, pulmonary vasodilators may be useful but are underused. We describe a group of patients with precapillary PH and advanced CKD treated with pulmonary vasodilators. This was a case series of patients with CKD stage 4 and 5 and precapillary PH (isolated or combined) based on right heart catheterization (RHC) treated with pulmonary vasodilators from 2018 to 2023. Of 263 patients with isolated precapillary or combined PH and advanced CKD, only 17 (6%) were treated with pulmonary vasodilators; 53% (n = 9) with precapillary PH and 47% (n = 8) with combined PH. Most patients (94%, n = 16) received phosphodiesterase‐5 antagonists, while 12% (n = 2) received endothelin receptor antagonists. Adverse clinical outcomes were seen in 35% of patients within a year. The use of pulmonary vasodilator did not prevent adverse outcomes in patients with precapillary PH and advanced CKD.
A Tetranuclear copper(II) Complex with a Pyridine‐2,6‐dicarboxamide Ligand: Structural and Magnetic Properties and In vitro Antiproliferative Activity Against Human Cancer Cells
Authors: Mondal Antu , Saha Moumita , Das Sanjib , Das Saha Krishna , Sengupta Swaraj , Corbella Montse , Frontera Antonio , Kumar Chattopadhyay Shyamal 
Published: September 2024

AbstractA pentadentate diamide ligand, N,N′‐di(pyridine‐2‐yl)pyridine‐2,6‐dicarboxamide (L1H2) and its tetranuclear Cu(II) complex [Cu4(L1)2(μ3‐OH)2(H2O)3(ClO4)](ClO4) ⋅ H2O are reported. X‐ray crystal structure of the complex reveals that it has an open‐book type architecture. Two central copper atoms are connected to each other by two hydroxo bridges. Each of these two hydroxo bridges also connects the two central copper atoms to one of the two terminal copper atoms. Variable temperature susceptibility measurements show that χMT decreases with the temperature, indicating a strong antiferromagnetic behavior. With the help of DFT calculations the magnetic data was analyzed using the spin Hamiltonian H=−2 J1S3 ⋅ S4 −2 J2(S3 ⋅ S1+ S3 ⋅ S2+ S4 ⋅ S1+ S4 ⋅ S2)−2 J3S1 ⋅ S2 (where subscripts 1 and 2 refer to the terminal copper atoms and 3 and 4 refer to the central copper atoms). The best fit was obtained with 2 J1=−322 cm−1, 2 J2=+34.8 cm−1, 2 J3=−8.8 cm−1 and g=2.18, indicating a δ‐type interaction between terminal copper atoms. The complex proves to be an avid binder of ct‐DNA, with apparent binding constant (Kapp) value estimated as 1.536×107 M−1. In vitro experiments indicate that the Cu(II) complex reduced the proliferation of HCT116 cells among other cell lines. This reduction of cell proliferation may be attributed to the enhancement of intracellular ROS, along with modulation and disruption of cell cycle associated proteins. SKC conceptualized the project, arranged funding and involved in overall coordination among collaborators, analyzing the data, and writing the paper. AM was involved in doing the experimental work on synthesis of the compounds, carrying out analytical and spectroscopic measurements, collecting X‐ray crystallographic data and DNA binding experiments. MS, SM and KDS were involved in study of anticancer activities of the complex. SS helped in refining X‐ray structure of the complex. MC did the magnetic measurements and analysis whereas AF did the DFT calculations.
Facile Synthesis of Porous Zinc Nanosheets for Highly Selective Electrochemical CO2 Reduction to CO
Authors: Mahyoub Samah A. , Drmosh Husam Q. , Qaraah Fahim A. , Suliman Munzir , Al‐Fadhil Danah A. , Drmosh Qasem A. 
Published: September 2024

AbstractWith the increasing levels of CO2 emissions and the decreasing availability of energy resources, the electrocatalytic CO2 reduction reaction (CO2RR) offers a promising method for utilizing CO2 as a valuable resource using sustainable electrical energy. However, developing cost‐effective and highly efficient catalysts remains a significant challenge. Although zinc, an abundant element on Earth, has shown potential for converting CO2 into CO, its effectiveness as a catalyst for CO2 reduction is hindered by its low selectivity and stability. This study introduces a fast, efficient, and simple electrochemical deposition method for preparing porous zinc nanosheets (NS) using the hydrogen bubble template approach. The as‐prepared zinc NS catalyst demonstrates exceptional catalytic activity due to its highly porous structure and high specific surface area. At a voltage of −1 V versus RHE, it achieves a maximum CO Faradaic efficiency of 89.5 %. The performance of this system is characterized by a partial current density of around −6.17 mA cm−2 in an H‐cell configuration. Additionally, our catalyst exhibits remarkable durability over 10 h, highlighting its significant potential for real‐world utilization in CO2RR.
Metathesis Mastery: Crafting Linear Triquinane Frameworks for Natural Product Synthesis
Authors: Cheekatla Subba Rao , Seema Vittal , Marri Srinivas , Pullepu Gayatridevi 
Published: September 2024

AbstractOrganic and medicinal chemists have shown great interest in developing simple approaches for creating linear triquinane structures, as they are crucial for synthesizing both natural and synthetic products. Linear triquinane shows various biological characteristics like being commonly used for antitumor, antibacterial, and antimalarial purposes, making it a popular subject of study among synthetic chemists. These come from different sources like marine organisms, plants, and fungi and make up a significant group of sesquiterpenoids. These can be classified as cis‐syn‐cis or cis‐anti‐cis based on the stereochemistry at the ring junction, with cis‐anti‐cis being the most common type and exhibiting significant biological activity. In this review, we summarized different methods using a combination of photothermal and olefin metathesis strategy to construct a triquinane framework by utilizing both traditional heat and microwave radiation. Some commonly used synthetic methods, including metathesis protocol and key reactions like Grignard reaction and Diels–Alder reaction, were utilized together with ring‐closing, ring‐opining, and ring‐rearrangement metathesis to create the linear triquinane core for use in total synthesis of natural products. Additionally, the use of photothermal olefin metathesis along with Hosomi‐Sakurai reaction conditions allows for the creation of intricate polyquinanes, which can be used to produce complex natural compounds and for designing unique molecules theoretically.
Synthesis, Photophysical, and Computational Studies of Mono‐Azo‐Bridged, Meso‐Tris(2‐Furyl/2‐Thienyl) Substituted Porphyrin‐Arene Hybrids
Authors: Nagesh Shet Sahana , Ganesh Bhat Vighneshwar , Hegde Vasundhara , Hegde Gurumurthy , Kumar Dalimba Udaya , Shetti Vijayendra S. 
Published: September 2024

AbstractPorphyrins hybrids have been used as models to study various energy/electron transfer processes. The linkers connecting various subunits in such hybrids are vital in establishing good electronic communication between the subunits and the azo‐bridge can be one of the efficient linkers to do so. Despite of these, the mono azo‐bridged porphyrin‐arene hybrids reported in the literature are only handful and the methods used to create them are not that efficient. In addition, the porphyrins used in this field so far contains only six‐membered meso‐substituents. By keeping these points in mind, we have developed a mild, one‐pot, work‐up‐free, high‐yielding method to synthesize mono‐azo‐bridged, porphyrin‐arene hybrids which also features porphyrins containing three five‐membered substituents like 2‐furyl or 2‐thienyl on their meso‐positions. Along with the NMR and mass characterizations, the photophysical and computational studies of all the reported hybrids are presented. The hybrids containing meso‐tris(2‐furyl/thienyl) substituted porphyrins displayed red‐shifted absorption and emission bands compared to their all‐meso‐aryl‐containing counterparts. In general, all the hybrids displayed enhanced fluorescence quantum yields compared to their precursor porphyrins. Among the series, the meso‐tris(2‐furyl) substituted porphyrin‐arene hybrids exhibited the more significant Stokes shift and small bandgap. The computational studies were in good agreement with the experimental findings.