bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modular and Photoreversible Polymer–Nanoparticle Hydrogels via Host–Guest Interactions
Authors: Bernhard Stéphane , Ritter Lauritz , Müller Marco , Guo Wenqing , Guzzi Elia A. , Bovone Giovanni , Tibbitt Mark W. 
Published: July 2024

AbstractPolymer–nanoparticle (PNP) hydrogels are a class of nanocomposite materials showing potential as injectable platforms for biomedical applications. Their design is limited by incomplete knowledge of how the binding motif impacts the viscoelastic properties of the material and is generally constrained to non‐responsive supramolecular interactions. Expanding the scope of available interactions and advancing the understanding of how defined interactions influence network formation would accelerate PNP hydrogel design. To address this gap in the design of PNP hydrogels, the study designs and investigates a tunable platform based on beta‐cyclodextrin (βCD) host–guest cross‐links between functionalized polymers and nanoparticles. A host‐functionalized polymer (βCD hyaluronic acid) and guest harboring block co‐polymer (poly(ethylene glycol)‐b‐poly(lactic acid)) NPs are synthesized. The presence and accessibility for binding of the host and guest moieties are characterized via isothermal titration calorimetry. PNP hydrogels with varying concentrations of functionalized polymer and NPs reveal a limited window of concentrations for gelation. It is hypothesized that network formation is governed by the capacity of polymer chains to effectively bridge NPs, which is related to the host–guest ratios present in the system. Further, photo‐responsive guests are incorporated to engineer photoreversible gelation of PNP hydrogels via exposure to specific wavelengths of light.
Lipopolysaccharide‐Induced Lysosomal Cell Death Through Reactive Oxygen Species in Rat Liver Cell Clone 9
Authors: Hsu Chien‐Sheng , Chang Shu‐Hao , Yang Rei‐Cheng , Lee Cheng‐Han , Lee Ming‐Sheng , Kao Jun‐Kai , Shieh Jeng‐Jer 
Published: July 2024

ABSTRACTIn sepsis, bacterial components, particularly lipopolysaccharide (LPS), trigger organ injuries such as liver dysfunction. Although sepsis induces hepatocyte damage, the mechanisms underlying sepsis‐related hepatic failure remain unclear. In this study, we demonstrated that the LPS‐treated rat hepatocyte cell line Clone 9 not only induced reactive oxygen species (ROS) generation and apoptosis but also increased the expression of the autophagy marker proteins LC3‐II and p62, and decreased the expression of intact Lamp2A, a lysosomal membrane protein. Additionally, LPS increased lysosomal membrane permeability and galectin‐3 puncta formation, and promoted lysosomal alkalization in Clone 9 cells. Pharmacological inhibition of caspase‐8 and cathepsin D (CTSD) suppressed the activation of caspase‐3 and rescued the viability of LPS‐treated Clone 9 cells. Furthermore, LPS induced CTSD release associated with lysosomal leakage and contributed to caspase‐8 activation. Pretreatment with the antioxidant N‐acetylcysteine (NAC) not only diminished ROS generation and increased the cell survival rate, but also decreased the expression of activated caspase‐8 and caspase‐3 and increased the protein level of Lamp2A in LPS‐treated Clone 9 cells. These results demonstrate that LPS‐induced ROS causes lysosomal membrane permeabilization and lysosomal cell death, which may play a crucial role in hepatic failure in sepsis. Our results may facilitate the development of new strategies for sepsis management.
Trimester‐specific association between fetal growth and physical activity in pregnant women: total physical activity vs moderate‐to‐vigorous exercise
Authors: Hu J. , Ma Y. , Sun M. , Wan N. , Liu B. , Zheng L. , Liu C. , Qiao C. , Wei J. , Wen D. 
Published: July 2024

ABSTRACTObjectiveTo investigate the trimester‐specific associations between maternal total physical activity level vs moderate‐to‐vigorous exercise and fetal growth disorders.MethodsWe analyzed 2062 mother–neonate pairs participating in the longitudinal China Medical University Birth Cohort Study. The Pregnancy Physical Activity Questionnaire was used to assess the physical activity level of women during the three trimesters. A higher level of total physical activity was defined as meeting or exceeding the cohort‐specific 75th percentile, and a higher level of exercise was defined according to the Physical Activity Guidelines for Americans. Fetal growth disorder was defined as small‐for‐gestational age (SGA) or large‐for‐gestational age (LGA) at birth.ResultsOf the neonates included in this study, 7.1% were SGA and 15.5% were LGA. A higher level of total physical activity during the first trimester (adjusted relative risk (aRR), 0.62 (95% CI, 0.42–0.91)) and second trimester (aRR, 0.62 (95% CI, 0.41–0.95)) was associated with a lower risk of SGA, and a higher level of total physical activity during the third trimester was associated with a lower risk of LGA (aRR, 0.73 (95% CI, 0.54–0.97)). When analyzing physical activity by subtype, a higher level of occupational physical activity during the first and second trimesters was associated negatively with SGA risk, and higher levels of occupational and low‐intensity physical activity during the first trimester were associated negatively with LGA risk. No significant association was found between maternal adherence to the Physical Activity Guidelines for Americans and risk of fetal growth disorders.ConclusionsA higher total physical activity level during the first and second trimesters was associated with a decreased risk of SGA, whereas a higher total physical activity level in the third trimester was associated with a decreased risk of LGA. Pregnant women should be advised to increase their total physical activity levels instead of focusing on engaging in only moderate‐to‐vigorous exercise. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.
Reactions of the Geminal Dicarbanion Li2[C(SPPh2)2] with Selenium and Tellurium
Authors: Wang Tongtong , Xu Maotong , Stephan Douglas W. 
Published: July 2024

AbstractThe reactions of the dianion [Li2(Et2O)1.5][(SPh2P)2C] 1 with Se and Te were explored and shown to be dependent on the stoichiometry. The species, [Li2(THF)3(SPh2P)2CSe2] 2, [Li2(THF)4(SPh2P)2CSe4C(PPh2S)2] 3, [Li2(THF)3(SPh2P)2CTe2] 4 and [Li2(THF)3Et2O][(SPh2P)2CTe3C(PPh2S)2] 5 have been isolated and structurally characterized in the solid state. While these products proved to be remarkably sensitive to light and air, the characterization of these products demonstrates that ability of the dianion to intercept short chalcogenide chains of E2–4.
Predictive modeling through physics‐informed neural networks for analyzing the thermal distribution in the partially wetted wavy fin
Authors: Karthik Kalachar , Sowmya Ganeshappa , Sharma Naman , Kumar Chandan , Ravikumar Shashikala Varun Kumar , Alur Shivaprakash Siddesh , Muhammad Taseer , Gill Harjot Singh 
Published: July 2024

AbstractThe heat transport analysis and thermal distribution in partially wetted wavy profiled fin are investigated in the current study. Convective, radiative effects and temperature‐dependent thermal conductivity are all considered in this heat transfer analysis. The dimensional governing temperature equations of the partially wetted wavy extended surface are nondimensionalized utilizing the appropriate dimensionless terms. Further, the resulting nondimensional thermal equations of the wavy fin are solved by employing Physics‐Informed Neural Network (PINN). The values of the temperature equations obtained by the numerical procedure Runge Kutta Fehlberg's fourth‐fifth (RKF‐45) order scheme are compared with PINN outcomes. The results are portrayed with the aid of tables, and the significance of several dimensionless constraints on the partially wet wavy fin is exhibited using graphical illustrations. A rise in the thermal conductivity parameter values enhances the wavy fin's thermal profile. The temperature of the wavy fin diminishes as the convective‐conductive parameter, temperature ratio parameter, and radiation‐conduction parameter upsurges.
The Displaced
Authors: Höglund Johan 
Published: July 2024

AbstractThis chapter discusses the question of climate migration and reads a series of texts that follow climate refugees as they cross, or are prevented from crossing, heavily guarded US national or state borders. The chapter shows how some American Climate Emergency Narratives employ allegory to cast the racialized climate refugee as a border-scaling monster, but it also reveals how even texts that seek to critique the racist ideology that informs extractive capitalist border-thinking focus on the future plights of the white majority.
Effects of Coal Metakaolin on Compressive Strength and Microstructure of Cemented Soil
Authors: Liu Jianping , Chen Weimin , Zhang Jixia , Xie Xiangqian , Xie Guoshuai 
Published: July 2024

AbstractIn this paper, compressive strength tests are conducted on the cemented soil with five coal metakaolin (CMK) contents to study the effects of CMK on the cemented soil compressive strength and microstructure. It is found that CMK can enhance the strength of cemented soil. Especially, when the CMK content is 3%, its compressive strength is obviously higher than that of unmixed CMK cemented soil. The effects of CMK on the strength of cemented soil is analyzed and discussed by means of X-ray diffraction (XRD) and scanning electron microscopy image (SEM) analysis. The strength mechanism of cemented soil with CMK is explained by the analysis of hydration products and microstructures of cemented soil. The reason for the macroscopic mechanical property change of cemented soil is proved by the microscopic mechanism. In addition, the relationship of cemented soil compressive strength and age is statistically analyzed. The statistical formula is set up to predict the long-term compressive strength of cemented soil by age. The predicted strength agrees well with the measured strength, indicating that the statistical formula has good predictability.
Research on Geological Information Updating and Prediction of Tunnel Surrounding Rocks Based on Machine Learning
Authors: Ren Yang , Yang Cunbin , Wu Yuehua , Li Tianbin 
Published: July 2024

AbstractSurrounding rock geological information is the basic index for tunnel disaster prediction and forecasting, so dynamic updating and prediction of surrounding rock geological information in an efficient and intelligent manner can provide an important support for disaster prediction and forecasting. In this paper, a surrounding rock geological information updating and prediction model based on RNN (RNN) is constructed to carry out research on the prediction of the four geological parameter indexes of rock mass integrity, rock hardness, rock weathering degree, and water abundance of tunnel surrounding rocks. The various index data of excavated tunnel sections are collected, the original data is normalized, a time series prediction model for tunnel surrounding rock geological information is established based on the training set samples, and finally the updated prediction of surrounding rock information is achieved. Preliminary application shows that the updating prediction accuracy of surrounding rock geological information of three indexes including rock mass integrity is up to 87.5%, and the prediction accuracy of rock weathering degree reaches 75%. This is an approach with relatively high engineering practical value.
Leveraging Variational Autoencoder for Improved Construction Progress Prediction Performance
Authors: Mostofi Fatemeh , Tokdemir Onur Behzat , Toğan Vedat 
Published: July 2024

AbstractThe imbalanced construction dataset reduces the accuracy of the machine learning model. This issue that addressed by recent construction management research through different sampling approaches. Despite their advantages, the utilized sampling approaches are reducing the reliability of the prediction model, while posing the risk of artificial bias. The objective of this study is to address the challenge of imbalanced datasets in construction progress prediction models using a novel variational autoencoder (VAE) that generates synthetic data for underrepresented classes. The VAE's encoder-decoder architecture, along with its latent space components, is optimized for this task. A comparative analysis using decision tree-based ML models, including grid search optimization, substantiated the effectiveness of the VAE approach. The results indicate that the hybrid dataset benefited the ML models from the addition of the synthesized dataset, showing 2% improvements in performance metrics across most models. The synthetic data generated by VAEs contributes to the construction of more balanced datasets, which, in turn, can lead to more reliable and accurate predictive models. The enhanced accuracy of the VAE-ML model addresses the class imbalance problem and improves the reliability of construction productivity predictions and related resource allocation plans.
Thermal Performance Improvement of Hollow Fired Clay Bricks Embedding Phase Change Materials
Authors: Chihab Yassine 
Published: July 2024

AbstractThe construction industry in Morocco constitutes a substantial share, surpassing 33%, of the total energy consumption in the country, positioning it as one of the industries with the highest energy intensity. In spite of its considerable impact on energy consumption, the architectural design of buildings in Morocco frequently overlooks essential aspects such as the time lag and decrement factor linked to walls. This work aimed to examine the influence of incorporating phase change materials (PCMs) with three distinct melting temperatures on the dynamic thermal characteristics of bricks. The PCM is encapsulated in cylinders and integrated into the brick's solid matrix. The numerical simulations were conducted using COMSOL software, employing finite element and the apparent heat capacity methods. The results derived from the study indicate that integrating a 20% mass fraction of PCM with a melting point at 32 ℃ Results in a notable decrease of 34% in the heat flux swings. Additionally, there is a 2.5 h delay in the infiltration time of the external thermal temperature into the indoor space when comparing it to conventional bricks. Moreover, the application of PCM contributes to mitigating a significant portion of fluctuations in interior temperature. Consequently, incorporating PCMs into hollow clay bricks emerges as an effective approach for diminishing the energy demand associated with cooling buildings.
Analysis and Evaluation of the Slope Stability of K49 + 800 Section of S207 Road in Shizong County
Authors: Ding Fengfeng , Jiao Jinyong 
Published: July 2024

AbstractWith the development of urban construction, slope engineering has become more and more important and difficult projects, and the hidden dangers of slope can not be ignored, which requires judgment and protection of the stability and safety of slope, so as to promote the economic development and construction of the city under the premise of ensuring the safety of people and property. Based on the analysis and study of engineering geological conditions and factors affecting slope stability of K49 + 800 section of S207 road in Shizong County, this paper analyzes and evaluates its stability and puts forward corresponding treatment measures.
Modelling and Analysis of the Seattle Space Needle Based on ANSYS
Authors: Chen Shu , Chen Hanwen , Xie Xinyi , Xu Linqing 
Published: July 2024

AbstractModal analysis is an effective method that helps engineers understand how a building responds to different types of dynamic loads, such as wind, earthquakes, or vibrations caused by human activities. It provides valuable insights into a building’s natural frequencies, mode shapes, and damping characteristics. In this paper, a simplified model of the Space Needle Tower is established using ANSYS SPACE CLAIM, followed by modal analysis using ANSYS WORKBENCH. For the purpose of simplification, the equivalent density of the model is set to the actual mass of the Space Needle tower divided by the volume of the model. The space needle tower model consisting of 11 components is then divided into 126144 nodes and 66287 units. The first 6 modes of deformation and the corresponding natural frequencies are obtained. In the end, the paper points out the tower’s potential weaknesses or areas that require reinforcement and provides potential solutions to improve the stability of the tower under dynamic loads.
Formation and Evolution Mechanism of the ZhengGang Giant Ancient Landslide
Authors: Cheng Wei , Luo Junyao , Yang Taiqiang , Jiang Xiaolong , Fan Xuefeng , Yang Yang , Feng Yelin , Huang Qingfu 
Published: July 2024

AbstractDuring the continuous uplift of the Qinghai-Tibet Plateau, the genetic mechanism of giant ancient landslides in the deep-cutting rivers has attracted widespread attention. The formation of giant ancient landslides is closely related to the evolution history of rivers. Using the methods of field investigation and numerical simulation, the formation and evolution process of the Zhenggang giant ancient landslide of the Lancang river upstream is studied. The correlation between the landslide formation and the valley evolution is analyzed. The toppling deformation body evolution of a giant ancient landslide and its genetic mechanism is studied. The results show that the bank slope unloading caused by the down-cutting of the river is the main effect factor of the landslides occurrence. The structure of soft and hard inter-bedded, and rainfall infiltration are all important influencing factors. The bank slope unloading caused by the down-cutting of the river promoted the bending and toppling of the steep rock mass. The giant ancient landslide takes the toppling fracture zone as the slip zone slipped.
Prefabricated Building Model Construction Using Artificial Intelligence Algorithms
Authors: Ran Zhuying , Han Wang 
Published: July 2024

AbstractArtificial intelligence has become a hot research topic in the field of technology worldwide today. This article will discuss a hash and genetic algorithm based model suitable for prefabricated buildings. This article first introduces the application of artificial intelligence algorithms in solving nonlinear programming problems. Then this article proposes to improve the time loss caused by vector distortion caused by similar neighborhood selection in traditional methods, and preprocess the results to improve decision-making accuracy and other characteristics. Finally, this article verifies through experiments that the model is more effective and operable than traditional algorithms under the optimization of artificial intelligence algorithms. The verification results are as follows: In terms of running speed, the performance of artificial intelligence algorithms is 43 m/s, while the performance of traditional algorithms is 24 m/s; In terms of operational efficiency, the performance result of artificial intelligence algorithms is 95%, while the performance effect of traditional algorithms is 74%; In terms of visualization level, artificial intelligence algorithms have higher performance results, while traditional algorithms have lower performance effects. In terms of reliability, the performance result of artificial intelligence algorithms is 0.53, while the performance score of traditional algorithms is 0.43; In terms of robustness, the performance of artificial intelligence algorithms is 0.74, while the performance result of traditional algorithms is 0.67. The accuracy of artificial intelligence algorithms is 84%, while the accuracy of traditional algorithms is 65%. These test results indicate that using artificial intelligence algorithms can assist designers and engineers in optimizing design, automatically generating models, and conducting structural analysis and durability verification. This method helps to reduce errors and waste in the construction process, improve building quality and construction speed.
Collision Detection Algorithm Based on Precise Model in Virtual Assembly
Authors: Zhang Yunlai , Shi Xiajuan 
Published: July 2024

AbstractVirtual assembly is one of the important trends in the development of assembly industry, and this assembly technology has been applied in many fields. However, it is urgent that the problem of inaccuracy of collision detection caused by polygon model in virtual assembly should be solved. So an accurate model of collision detection algorithm needs to be studied in support of virtual assembly’s effective design and practice. Based on the K-DOPs algorithm in virtual assembly, this paper conducts collision detection of accurate models, verifies the effectiveness of this algorithm to shorten the collision detection time, and provides some ideas and references for effectively selecting appropriate collision detection algorithms in virtual assembly.
Digital Technology of Construction Monitoring and Quality Control of Prefabricated Building Engineering
Authors: Zuo Caixia , Yang Jing 
Published: July 2024

AbstractPrefabrication is characterized by standardization of building parts and plant installation. Prefab construction in China is relatively late, but develops quickly. It is a kind of advanced construction method. Along with the development of science and technology, the requirement of building quality is higher, and prefab building has the advantages of high efficiency, low cost, and low pollution, which is consistent with the idea of green development. To guarantee the construction quality of prefab construction works, it is essential to supervise and control the construction process. In this paper, the construction supervision and quality control of prefab construction are analyzed from the angle of digital technique. It is proved by the experiment that the digital technique study on the construction supervision and quality control of the prefab construction project has achieved the highest pass rate of 95.7%.
Load Transfer Capacity Analysis of Prefabricated Steel Fiber Concrete Pavement Slab
Authors: Wang Zijian , Li Hongkun , Zhang Xin , Zhang Bin , Liu Qi , Liu Yadong , Rong Baosheng 
Published: July 2024

AbstractThe joint of prefabricated concrete pavement slab is an important structural part of the prefabricated pavement slab. The joint damage will reduce the pavement function and accelerate the plate damage. The joint treatment technology is also a problem that puzzles engineering researchers. How to ensure the mechanical properties, load transfer rate and life of the assembled road joint has become the main research direction of the assembled road. This paper takes the indoor test as the research method, analyzes the bending and strain of the indoor test groove and lap joint. It is found that the bending value of the groove joint is large, and the tensile strain is the main one, which is easy to be damaged by tension. Through the comparative test, it is suggested that the joint form of the assembled road slab should adopt the lap type.