bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on physical and mechanical behavior of nano‐silica particle filled woven jute/kenaf hybrid nanocomposites
Authors: Sagari Kare Vidya , Prasad Kalapala 
Published: November 2024

AbstractHybrid composites have attracted considerable interest from researchers due to their balanced combination of ecological and mechanical properties. This paper examines the physical and mechanical behavior of hybrid composites reinforced with nano‐silica and woven jute/kenaf fiber. The hybrid composites were fabricated using hand layup techniques with varying weight percentages of nano‐silica (1.5, 3, 4.5, and 6 wt%) and three different fiber layering sequences (JKJK, JKKJ, and KJJK). The mechanical properties, including tensile, flexural, interlaminar shear strength, impact resistance, and hardness, along with the physical properties such as density and moisture absorption, are evaluated for the fabricated composite samples. The jute/kenaf composite fabricated with KJJK layering sequence and 4.5 wt% nano‐silica particles exhibited reduced void content (1.983%) and low moisture absorption (4.87%). The addition of 4.5 wt% nano‐silica to KJJK composites achieved a maximum tensile strength of 86.38 ± 2.9 MPa and a maximum tensile modulus of 4.238 ± 0.094 GPa. In KJJK hybrid composites, the incorporation of 4.5 wt% nano‐silica led to a 70.11% increase in flexural strength and a 47.05% increase in flexural modulus. Surface morphological analysis of the specimens was conducted using SEM to examine cracks, fiber pullout, and different failure modes within the hybrid composite.Highlights
Developed the jute/kenaf composites with 1.5, 3, 4.5, and 6 wt% of nano‐silica.
Nano‐silica into jute/kenaf composites reduced void content and moisture absorption.
The composites with 4.5 wt% nano‐silica had better mechanical properties.
Layering sequence jute and kenaf affect the mechanical properties.
Morphological analysis confirms the improved adhesion with nano‐silica.
Qualitative Analysis of Daphnane Diterpenoids in Various Parts of Daphne pontica L. by UHPLC‐Q‐Exactive‐Orbitrap MS
Authors: Onder Alev , Otsuki Kouharu , Zhang Mi , Avci Eda , Kikuchi Takashi , Li Wei 
Published: November 2024

ABSTRACTIntroductionDaphne pontica L. is an evergreen shrub that is recorded as an anti‐diarrheic plant in Turkish folk medicine. Previous studies on D. pontica have reported, albeit slightly, the isolation of daphnane diterpenoids, but no systematic phytochemical analysis of daphnane diterpenoids has been conducted.ObjectiveThis study aimed to comprehensively investigate daphnane diterpenoids in the extracts from the different parts (stems, leaves, and fruits) of D. pontica.MethodsAn ultra‐high‐performance liquid chromatography coupled with Q‐Exactive hybrid quadrupole Orbitrap mass spectrometer (UHPLC‐Q‐Exactive‐Orbitrap MS) was used for the qualitative analysis of D. pontica. The stems, leaves, and fruits of D. pontica were extracted with diethyl ether. Each extract was then pretreated by a solid phase extraction cartridge and subjected to LC–MS/MS analysis. Detected daphnane diterpenoids were tentatively identified by comparison with an in‐house daphnane library, and their chemical structures were estimated in detail by MS/MS fragmentation evaluation.ResultsA total of 33 kinds of daphnanes were identified from the different parts of D. pontica, and were classified into three subtypes: daphnane orthoester, polyhydroxy daphnane, and macrocyclic daphnane orthoester. Among them, six daphnanes were postulated to be previously unreported compounds based on MS/MS fragmentation elucidation. Furthermore, the three plant parts showed similar daphnane diterpenoid profiles, with the stems containing the most abundant daphnane diterpenoids.ConclusionThis is the first study to perform qualitative analysis of daphnane diterpenoids systematically and comprehensively in different parts of D. pontica. The results revealed that D. pontica is a plant resource rich in a variety of daphnane diterpenoids.
Metabolite Profiling and Integrated Network Pharmacology Based Mechanism of Benincasa hispida (Thunb.) Cogn. Fruit Against Non‐insulin‐Dependent Diabetes Mellitus
Authors: Das Gupta Barun , Kar Amit , Singha Seha , Gayen Srijon , Jana Sandipan , Sharma Nanaocha , Haldar Pallab K. , Mukherjee Pulok Kumar 
Published: November 2024

ABSTRACTIntroductionBenincasa hispida (Thunb.) Cogn. (Cucurbitaceae) is an essential food plant in India possessing antihyperglycemic and antihyperlipidemic activities.ObjectiveThe objective included comparative estimation of α‐glucosidase and α‐amylase enzyme inhibition potential of B. hispida fractions prepared by microwave‐assisted extraction and prediction of metabolite interaction against non‐insulin‐dependent diabetes mellitus by metabolite profiling based network pharmacology analysis.MethodsA validated microwave‐assisted extraction method was employed to obtain different fractions of B. hispida fruits. The in vitro enzyme assay was done with p‐nitrophenyl‐α‐D‐glucopyranoside and acarbose as standard to evaluate antidiabetic potential. The phytomolecules present in the active fraction were identified by UHPLC‐QToF‐MS/MS analysis. Network pharmacology analysis gave possible gene and disease association, combination synergy network, and predicted probable mechanism of action.ResultsThe highest enzyme inhibition potential (IC50) was shown by the ethyl acetate fraction (0.546 ± 0.17 mg/mL and 1.134 ± 0.42 mg/mL) compared to acarbose (0.298 ± 0.08 mg/mL and 0.532 ± 0.38 mg/mL), respectively, for α‐glucosidase and α‐amylase addressing the potential role in ameliorating non‐insulin‐dependent diabetes mellitus. Metabolite profiling resulted in the identification of 17 metabolites, and a synergy between the identified molecules suggested multimolecule action in the amelioration of non‐insulin‐dependent diabetes mellitus through insulin resistance pathway, AMPK signaling pathway, PPAR signaling pathway, and PI3K–Akt signaling pathway. Combination synergy of identified molecules was observed through a multitarget approach to manage non‐insulin‐dependent diabetes mellitus.ConclusionPolyphenol‐enriched fraction of B. hispida fruits and identified phytocompounds ameliorate non‐insulin‐dependent diabetes mellitus. Thus, enriched extract of B. hispida can be further investigated in order to develop high‐quality, safe, and effective products for the management of non‐insulin‐dependent diabetes mellitus.
A sustainable hybrid strengthening/stiffening approach for injection molded polypropylene matrix thermoplastic composites
Authors: Ariturk Gizem Semra , Bilge Kaan , Girisken Cagla , Seven Senem Avaz , Menceloglu Yusuf Ziya 
Published: November 2024

AbstractHybrid interaction/co‐working mechanisms of waste cellulose (WC) fibers and expanded vermiculite (V) in polypropylene (PP) resulted in stronger, stiffer, and thermally durable composites are presented. Fibrous WC and particulate V inclusions were mixed with the PP matrix via high shear thermokinetic mixer under 4000 rpm. Thermal and mechanical characterization efforts assisted with fractographic investigations are performed on five sample sets such as (i) two‐phase WC fibrous PP composites and (ii) three‐phase WC–V hybrid composites. Results suggested that as the main reinforcement agent WC is able to increase the axial stiffness of PP (1.7 GPa) up to 4 GPa (30WC) as the weight fraction increases with a reduction in ductility. However, a strength threshold due to WC cluster entanglement, which leaves partially non‐wet clusters of WC and limited crystallization volume for PP at high WC weight fractions, is noted. In situ formed V platelets placed between WC fibers are proven to provide PP crystallization loci to further increase the axial stiffness (4.1 GPa) and matrix brittleness. When used with 10WC, they significantly increased the ability of PP matrix r to resist the failure events associated with the presence of randomly aligned WC fibers. Such ability is further highlighted in the 20WC10V case where the inherent problem of WC entanglement increased the contribution of polymer shear failure to the overall tensile response of manufactured composites. A significant increase in tensile strength (55%) for this case was recorded which makes the proposed hybridization effort more advantageous to conventional short fiber reinforcing strategies.Highlights
Stiffer and stronger PP‐based hybrid composites with waste cellulose and vermiculite.
Tensile failure/toughening mechanisms in hybrid PP composites
Sustainable approach for reinforcement selection.
Proteome integral solubility alteration via label‐free DIA approach (PISA‐DIA), game changer in drug target deconvolution
Authors: Ser Zheng , Sobota Radoslaw M. 
Published: November 2024

AbstractDrug protein‐target identification in past decades required screening compound libraries against known proteins to determine drugs binding to specific protein. Protein targets used in drug‐target screening were selected predominantly used laborious genetic manipulation assays. In 2013, a team led by Pär Nordlund from Karolinska Institutet (Stockholm, Sweden) developed Cellular Thermal Shift Assay (CETSA), a method which, for the first time, enabled the possibility of drug protein‐target identification in the complex cellular proteome. High throughput, quantitative mass spectrometry (MS) proteomics appeared as a compatible analytical method of choice to complement CETSA, aka Thermal Protein Profiling assay (TPP). Since the seminal CETSA‐MS/ TPP‐MS publications, different protein‐target deconvolution strategies emerged including Proteome Integral Solubility Alteration (PISA). The work of Emery–Corbin et al. (Proteomics 2024, 2300644), titled Proteome Integral Solubility Alteration via label‐free DIA approach (PISA‐DIA), introduces Data–Independent Acquisition (DIA) as a quantification method, opening new avenues in drug target‐deconvolution field. Application of DIA for target deconvolution offers attractive alternative to widely used data dependent methodology.
Intelligent Prediction on Cement Take of Dam Foundation Grouting Based on GOA-ELM Model
Authors: Zhu Yushan , Yang Zhu , Huang Jian 
Published: November 2024

AbstractAccurate and reasonable cement take prediction is of great significance for effective control of dam foundation grouting quality and cost. This article combined the previous research results and engineering practice to explore the different influencing factors of cement take, and conducted parameter correlation analysis to determine the input parameters for prediction. Then, an intelligent prediction model for cement take based on improved extreme learning machine (ELM) is proposed, which uses the grasshopper optimization algorithm (GOA) to optimize its input weights w and hidden layer thresholds b. Finally, taking sets of cement take data from a real dam foundation project as an example to verify the performance of the proposed prediction model, the results illustrates that the proposed model has good prediction accuracy and can assist grouting engineers in adjusting grouting construction design and controlling grouting quality, which has a wide application prospect.
Research on Excavation Deformation of Foundation Pit Based on Seepage and Stress Coupling
Authors: Hu Linhao , Zhao Xuejin , Li Zihao , Zhang Kunyong 
Published: November 2024

AbstractIn order to study the effect of seepage and stress coupling on excavation deformation of foundation pit, finite element numerical analysis method is used in this paper, taking a hanging water curtain foundation pit project under construction in the rich water stratum area of the Yangtze River floodplain as an example. By comparing the deformation index of the surrounding surface settlement foundation pit with different models, the law of the influence of seepage on the deformation of foundation pit excavation is obtained. The results show that when there is no foundation pit dewatering requirement and the support stiffness is large enough, the settlement caused by the release of ground loss stress is small, and the surface settlement curve around the foundation pit is parabolic. When there is precipitation in the pit and considering the support stiffness is large enough, the surrounding surface settlement caused by foundation pit construction is triangular in distribution. The calculation and analysis of foundation pit excavation considering the coupling of seepage and stress in actual excavation construction show that the surrounding surface settlement curve is a combination of the above two settlement characteristics, and the numerical and curve characteristics are coupled.
Study on Evolution and Prediction of the Yellow River Estuary Wetland
Authors: Wu Linjing , Zhou Zhenmin 
Published: November 2024

AbstractEstuary wetland, as an independent “living body”, has the process of geographical evolution, i.e. juvenile stages (juvenile), maturation stage (adult) and aging stage (later). Taking the Yellow River estuary wetland as a case study, this paper calculates the evolution stages of the estuary wetland by using the area-elevation integral curve and fractal theory. The following conclusions are obtained. (1) In the juvenile stage, the basin erosion are strong, estuary wetland develops quickly due to high sediment transport into the estuary area. When the basin geomorphology develops to the adult stage, the river sediment transport is stable, the estuary wetland area continues to expand at a stable speed. In the later stage, erosion from the river basin weakens, the river sediment transport decreases, the sediment transport to the estuary wetland decreases, and the wetland begins to shrink gradually. (2) Human activities directly affect the ecological environment of estuary wetlands and shorten the evolution process of estuary wetlands. (3) According to the temporal and spatial variation trend calculation on Yellow River estuary wetland, the total area of wetland in 2025 will be 2518.4 km2, of which natural wetland accounts for 1252.8 km2, the area of constructed wetland accounts for 1265.6 km2. Natural wetland begins to shrink. Therefore, it is necessary to take measures to protect the natural wetland in the Yellow River Delta, to control the development of constructed wetland reasonably, and to realize the sustainable development of wetland ecological environment in the Yellow River Delta.
Influence of the Shihutang Navigation-Power Junction Project Operation on Hydrodynamic Characteristics of the Ganjiang River
Authors: Zhang Qiang , Zhao Yuxuan 
Published: November 2024

AbstractThe construction of a reservoir on the river can meet the social requirements for irrigation, navigation, water supply, and power generation in the area. However, reservoir development also disrupts the natural flow continuity of the river, leading to fundamental changes in important water environmental factors such as water temperature, water quality, morphology, and water level. In this study, the Shihutang navigation-power junction project mainly affects the middle reaches of the Ganjiang River, the Wan’an to Xiajiang section is taken as the study area, and a one-dimensional hydrodynamic mathematical model of the middle reach of the Ganjiang River is established. The model is calibrated and validated based on measured water level and discharge data in order to study the influence of the Shihutang navigation-power junction project operation on the hydrodynamic characteristics of the middle reach of the Ganjiang River. The results show that the changes in water level, discharge, and velocity in the upstream and downstream areas are generally consistent before and after the operation of the Shihutang navigation-power junction project. The operation of the Shihutang navigation-power junction project has a significant influence on the hydrodynamic characteristics at the dam site, with the influence decreasing as the distance from the dam site increases.
Study on Linkage Alarm of Site Abnormality of Large Pumped Storage Power Station Under Video Monitoring
Authors: Cao Feng , Han Jishuang , Li Jing , Zeng Guangyong 
Published: November 2024

AbstractWhen alarming the abnormal state of the construction site, due to the lack of systematicness in the composition analysis of specific construction safety influencing factors at different stages, the accuracy of linkage alarm is relatively high. Therefore, the study on linkage alarm of abnormal state of large pumped storage power station under video monitoring is put forward. Combined with different stages of construction, the existing factors affecting construction safety are comprehensively analyzed from three aspects: construction preparation, foundation and main structure. Based on the image information collected by video surveillance, the existence state of safety influencing factors in the video surveillance picture is identified through the convolution layer including the upper and lower layers, and the operation content that needs to be alarmed at the construction site is determined by combining the correlation between safety influencing factors. In the test results, the design of linkage alarm method not only has high stability for the overall accuracy of alarm in different test conditions, but also keeps above 90.0% all the time.
Spatio-Temporal Characteristics of Waves in Hangzhou Bay Based on ERA5 Wind Field
Authors: Zheng Guodan , Chen Taoxiao , Shi Yuan , Liu Ye , Yang Yuanping 
Published: November 2024

AbstractOn the basis of 30-year observed ERA5 wind field analysis data, the wave changes around Hangzhou Bay are generated based on SWAN model. The wave rose diagrams of different locations in Hangzhou Bay have been drawn, the seasonal and interannual variation characteristics of wave height are analyzed. Several results are followed. (1) The direction of dominate wave located in the Hangzhou Bay head are NE and ENE, whereas the strongest wave direction is NE; Meanwhile, in the middle of Bay, the dominate wave direction, which on the northern side are E and ESE, in middle are ENE and E, and on the southern side are NE and ENE. The strongest wave direction from north to south are ESE, E and ENE respectively. In the inlet, the dominate wave direction, which on the northern side are ENE and E, in middle are NE and ENE, and on the southern side is NNE. The strongest wave direction from north to south are ESE, E and NE respectively. (2) The trend of mean significant wave height distribution is consistent all year round. It is diffused from the inlet to the top of Hangzhou Bay. The inlet is larger than the top, and the middle is larger than both sides. The quarterly average significant wave height varies from 0.36 to 0.40 m, while the mean value in autumn is slightly higher than those in other seasons. (3) In Hangzhou Bay, there is no vertical difference on annual mean wind speed of the latest 30 years, and the general trend is relatively stable. The variation tendency of annual mean significant wave height is consistent with that of annual mean wind speed. Also it is found that the correlation between them is good with the correlation coefficient of 0.77.
Development and Application of an Intelligent Analysis System for Three-Dimensional Geological Modeling in Dredging Engineering
Authors: Lu Zheng , Sun Hui , Hao Yuchi , Zhao Guoquan , Bai He 
Published: November 2024

AbstractIn this manuscript, a methodology for three-dimensional geological modeling and visualization in dredging engineering was proposed to understand and analyze the spatial distribution of soil conditions in complex underwater geological settings for dredging engineering comprehensive and enhance the operational efficiency of dredgers. A three-dimensional digitized platform for dredging engineering was established by using computer technology, database management, visualization techniques and 3D geological modeling. The intelligent system of dredging engineering geological database is mainly developed using the .NET as the program development platform and C# and C++ as language. This system realizes the functions of engineering geological data storage and management, 3D geological modeling, dredging engineering analysis, and so on. The practical application showed that the system boasts not only fast 3D modeling speed, strong operability and high conformity with the actual geological situation, but also the dredging engineering analysis module, which greatly improves the quality and efficiency of construction. It can meet the actual needs of dredging engineering well and has broad promotion and application prospects.
Spatio-temporal Distribution Patterns of Sediment Carrying Capacity in the Three Gorges Reservoir
Authors: Feng Le , Jin Zhongwu , Xu Quanxi , Liu Ya , Liu Yujiao 
Published: November 2024

AbstractReservoir sedimentation profoundly impacts riverbed dynamics and engineering applications, posing a dual challenge by compromising riverbed evolution and critical water storage infrastructure. The escalating loss of reservoir capacity due to sediment accumulation imperils lives, properties, and global water sustainability, undermining the reservoir’s safety role. Using the Three Gorges Reservoir (TGR) as a case study, we analyze extensive hydrological data from Cuntan, Qingxichang, Wanxian, and Miaohe stations (2002–2020). Our findings reveal: (1) Pre-impoundment, Qingxichang and Wanxian exhibit high sediment carrying capacities, which reduce noticeably during early impoundment. Subsequently, with the changes of pre-dam water levels, an overall decreasing trend of sediment-carrying capacity is observed, characterized by annual fluctuations, while Miaohe consistently maintains a lower level due to its proximity. (2) Wanxian experiences significant sediment carrying capacity reduction during constant water level periods of various operational stage, with up to 99.4% decrease post-impoundment. (3) Sediment carrying capacity varies annually primarily due to changes of reservoir pre-dam water levels, and secondarily, owing to incoming water and sediment fluctuations. Increased influx raises sediment carrying capacity, while reduced influx decreases it. Morphological cross-section configuration emerges as a dominant factor in sediment carrying capacity, outweighing dam proximity. Wide, shallow sections have lower capacity than narrow, deep ones. For narrow, deep sections, dam proximity’s influence exceeds cross-sectional morphology.
Analysis of the Influence of Dewatering of Subway Foundation Pit on the Displacement of Surrounding Strata
Authors: Wang Jianjun , Jian Yongzhou , Xue Tangwei , Zhang Kunyong 
Published: November 2024

AbstractIn order to study the influence of subway foundation pit on the displacement of surrounding strata under the condition of dewatering. Based on the finite element modeling of a subway foundation pit project under construction in Nanjing, this paper discusses the influence of excavation only on the ground settlement around the subway foundation pit and the influence of dewatering foundation pit on the ground settlement around the subway foundation pit. Through the comparison of the two cases, the influence law of the horizontal and vertical displacement of the surrounding strata caused by the precipitation is analyzed. It is concluded that the vertical displacement of the surrounding strata caused by the foundation pit is larger in the case of the dewatering, and only the horizontal displacement of the excavation foundation pit is considered to be smaller.