bluuebunny/crossref_metadata_2025_split huggingface dataset:
Input shaping control of a three‐cable suspension manipulator
Authors: Hildebrandt Erik , Stirnweiß Vincent , Woernle Christoph 
Published: September 2023

AbstractA multi‐cable suspension manipulator moves a heavy payload through a large workspace by several spatially arranged cables with winches mounted on a crane system. All actuators are independently controllable to achieve a desired position and orientation of the payload with six degrees of freedom in space. As the payload is not fully constrained by the length of the cables, undesired load sway occurs. To transition the payload between predefined stationary equilibrium points, a feedforward control concept based on the input shaping method is presented. For the determination of the natural frequencies and damping ratios required for the design of an input shaper, a nonlinear dynamic model is linearised around a varying equilibrium point by an efficient procedure. The occurring kinematic actuator redundancy is resolved by optimisation. Experimental results from the prototype three‐cable suspension manipulator Cablev confirm the effectiveness of the approach.
Peridynamic simulations of rock indentation
Authors: Butt Sahir N. , Meschke Günther 
Published: September 2023

AbstractThis paper presents an ordinary state‐based peridynamic model to simulate failure in porous rocks and its application in the rock excavation processes. Rock indentation is a fundamental process for mechanical rock fracturing, which is frequently encountered in rock excavation. To model crushing occurring under high triaxial loads observed in the rock indentation experiments, peridynamic model has been extended to consider the pore‐collapse phenomenon. Rock heterogeneity is considered in the simulations by sampling the strength parameters from a probability distribution function. The model is qualitatively validated using the acoustic emission data from the indentation experiments. The developed model is able to form a crushed zone, which serves as the point of initiation for tensile cracks, which split the specimen. Quantitative validation relies on the comparison of the force‐penetration data as well as the indentation pressure‐penetration data obtained from the simulations and experiments performed on Bentheim Sandstone specimens.
Effect of nanotitanium‐based hybrid materials and methyl methacrylate/nitrile rubber/graphene oxide on the microstructure and anticorrosion properties of waterborne epoxy resin coatings
Authors: Wan Tao , Jiao Zhiqiang , Wang Bo , Wei Shicheng , Han Qing , Li Binchuan , Wang Yujiang , Chen Jianshe , Wei Wei 
Published: September 2023

AbstractWaterborne epoxy resins have been extensively applied to industries as green paints. However, waterborne epoxy resins are affected by several issues. To enhance their mechanical properties and corrosion resistance, we added nanotitanium‐based hybrid materials (NTH), and methyl methacrylate (MMA)/nitrile rubber (NBR)/graphene oxide (GO) to waterborne epoxy resin. The researchers suggest that adding NTH and MMA/NBR/GO can well modify waterborne epoxy resin. Upon addition of 6 wt.% NTH and 1 wt.% MMA/NBR/GO (2‐1 coating), scanning electron microscopy imaging shows that the coating is flat, with no evident crevices. Fourier‐transform infrared spectroscopy results indicate that compared with the case in which either NTH or MMA/NBR/GO is added, the coating is denser when both fillers are added. The mechanical properties were also investigated, and the results demonstrate that the coating displayed a pencil hardness rating of “2H” and achieved a grade of “0” in terms of adhesion, respectively. Additionally, the coating's anticorrosion performance was evaluated through electrochemical tests. Tafel tests and electrochemical impedance spectroscopy tests reveal that the 2‐1 coating possesses superior corrosion resistance with respect to the other coatings. Additionally, after a neutral salt spray test lasting 1440 h, the surface of the coating showed no signs of corrosion according to salt spray tests. Finally, the anticorrosion mechanism is discussed.
Tandem mass spectrometry (MS/MS) molecular networking guided profiling of small molecules from Aquilaria sinensis (Lour.) Gilg leaves and their bioactivity evaluation
Authors: Yang Ya‐Ling , Sun Hao‐Di , Yang Jian , Liu Chang‐Zheng , Kang Chuan‐Zhi , Liu Juan , Guo Lan‐Ping 
Published: September 2023

AbstractIntroductionAgarwood, a fragrant resinous wood mainly formed by Aquilaria spp., is used worldwide as a natural fragrance and traditional medicine. A large amount of Aquilaria sinensis (Lour.) Gilg leaves are underutilised during the process of the agarwood industry, and the development of A. sinensis leaves as tea has recently attracted more and more attention. However, the small molecule profile of A. sinensis leaves and their bioactivities has been rarely reported.ObjectiveTo conduct a rapid untargeted liquid chromatography–mass spectrometry (LC–MS) analysis of A. sinensis leaves with a molecular networking (MN) strategy and evaluate its antioxidant and antidiabetic value.MethodA MN‐assisted tandem mass spectrometry (MS/MS) analysis strategy was used to investigate the small molecule profile of A. sinensis leaves. Additionally, the integration of antioxidant and α‐glucosidase inhibitory assays with MN analysis was executed to expeditiously characterise the bioactive compounds for potential prospective application.ResultsFive main chemical groups including phenol C‐glycosides, organic acids, 2‐(2‐phenylethyl) chromones, benzophenone O‐glycosides and flavonoids were rapidly revealed from the A. sinensis leaves. Eighty‐one compounds were provisionally identified by comparing their MS/MS fragments with canonical pathways. The featured xanthone C‐glycosides and benzophenone C‐glycosides were recognised as the primary components of A. sinensis leaves. Several dimers and a trimer of mangiferin were reported firstly in A. sinensis leaves. Furthermore, 17 and 14 potential bioactive molecules were rapidly annotated from antioxidant and α‐glucosidase inhibitory fraction, respectively.ConclusionOur findings will help expand the utilisation of A. sinensis leaves and thus promote the high‐quality development of agarwood industry.
Mechanism and influencing factors analysis of polyethylene oxide electrohydrodynamic printing
Authors: Wang Chunjing , Zhifu Yin , Liu Zixian , Cheng Yongqiang , Wei Wei , Sun Lei , Sang Shengbo 
Published: September 2023

AbstractElectrohydrodynamic (EHD) printing is a micro–nano printing technology based on the principles of electric field and fluid dynamics. It is characterized by high resolution, high precision, and high speed, applied to various materials, including metals, ceramics, and organic materials. Compared with traditional printing technologies, EHD printing offers advantages such as low manufacturing cost, simple process, and direct fabrication, making it highly promising in the field of micro–nano manufacturing. Polyethylene oxide (PEO) is a highly water‐soluble polymer that has been widely used in various fields due to its low toxicity and ease of processing. In this study, a finite element simulation model was developed using simulation software to simulate and analyze the mechanisms of focused jetting and deposition of PEO solution under an electric field. Based on the principles of electrohydrodynamics, a self‐built EHD printing system was used to investigate the influence of different solution mass fractions and printing parameters on fiber formation, and the optimal process window of EHD printing PEO solution was obtained. Ultimately, ordered deposition of fiber lines ranging from 1.761 to 6.093 μm was achieved. The simulation results were consistent with the experimental results, validating the effectiveness of the established model in guiding jetting outcomes.Highlights
Independently building a low‐cost electrohydrodynamic (EHD) printing system.
Finite element simulation of EHD printing process.
Mechanism analysis of PEO solution jetting and deposition.
Optimal process window for PEO solution EHD printing.
Influence of key process parameters on fiber forming width.
Elevated respiratory complications following robotic‐assisted lobectomy: A national cohort analysis of 26,140 cases
Authors: Huang Ruijian , Xiao Yue , Jiang Feng , Chen Yanfei , Su Cunhua , Zhou Jifang , Yang Tianchi 
Published: September 2023

AbstractBackgroundRobotic‐assisted lobectomy (RL) is increasingly used nationally, but little comparative data exist on its safety compared with open lobectomy (OL) or video‐assisted lobectomy (VL). This study aimed to estimate the risk of perioperative complications for RL, VL, or OL.MethodsAdmissions were identified from the hospital administrative data collected between 2015 and 2019. Propensity score matching and inverse probabilistic weighting were used to account for selection bias. Logistic and quantile regression models were applied to determine perioperative outcome differences.ResultsWe identified 26,140 cases of which 5337 (20.4%), 12,680 (48.5%), and 8123 (31.1%) underwent RL, VL, and OL. RL and VL were associated with lower complication rates, shorter lengths of stay, and fewer mortality risks. RL was associated with significantly elevated risks for perioperative respiratory complications (adjusted odds ratio 1.10, p = 0.010).ConclusionRelatively low rates of perioperative complications for VL and RL, and higher respiratory complication rates in RL are concerning.
Design optimization of medical robotic systems based on task performance metrics: A feasibility study for robotic guided vascular laser treatments
Authors: Oliveira Bruno , Morais Pedro , Torres Helena R. , Fonseca Jaime C. , Vilaça João L. 
Published: September 2023

AbstractWhile designing an end‐effector tool for a specific task using an already available robotic arm is a common strategy for developing robot‐based solutions, it is subject to the designer's subjective biases, especially in the medical robotics field. Consequently, this approach can result in suboptimal solutions that may limit the performance of the robotic arm and the overall system. This work introduces a novel framework for developing a virtual scenario that enables the robust optimization of design guidelines for robotics‐based medical solutions. The proposed framework aims to address the issue of subjectivity involved in the design process, improving the reliability and accuracy of the robotic system. Specifically, it aims to find the optimized 3D positioning of the Tool Center Point and the robot base that takes full advantage of the robotic arm kinematics. The feasibility of the proposed methodology is validated for designing a system for robotic‐guided vascular laser treatments. First, a simulated treatment environment is constructed to compute the optimal trajectories to treat a wide population of synthetic human models. Next, a design optimization methodology based on robot task performance metrics is developed. Overall, the proposed design guidelines allowed the performance of 94.1% of the treatment trajectories free of collisions with median precision of around 0.5 mm while guaranteeing high manipulability. Thus, proving the added value of the proposed strategy and showing the potential for promoting the development of optimized robotics‐based solutions.
Microdosing of nitrogen fertiliser and cattle manure under in situ rainwater harvesting to improve maize production in smallholder farming system in a semiarid area of Zimbabwe
Authors: Kugedera Andrew T. , Kokerai Letticia K. 
Published: September 2023

AbstractIntroductionMaize production in smallholder farmers located in semiarid areas of Zimbabwe are mainly constrained by soil moisture and nutrient stress. Moisture stress is mainly due to erratic rainfall, high rates of evapotranspiration and limited knowledge of the use of in situ rainwater harvesting (IRWH) techniques. Tied ridges (TRs) are one of the best IRWH techniques which have good potential in mitigating climate change.Materials and MethodsThe study used TR, planting pit (PP) and conventional tillage (CT) as main factors and four rates (0, 29.25, 58.5 and 89.5 kg N ha−1) of nitrogen (N) as subplot factor. Soil organic carbon and available phosphorous were determined using Oslen method where soils were incubated for 2 h at 110°C. Smallholder farmers are limited to apply large quantities of nutrients hence the need for microdosing. The study objective was to evaluate the effects of nutrient microdosing and IRHW techniques on maize grain yield, rainwater use efficiency (RWUE), nitrogen use efficiency (NUE) and return on investment in semiarid areas of Zimbabwe.ResultsInteraction of TR and N microdosing significantly (p < 0.05) improved maize grain yields. IRWH also showed significant effects (p < 0.05) on maize grain yields with a trend: TR > PP > CT. RWUE and NUE were significantly (p < 0.05) improved with the interaction of IRWH and N. Application of 58.5 kg N ha−1 had the highest NUE under TR. TR had the highest (US$1747.23) return on investment when combined with 89.5 kg N ha−1 during 2021/22 cropping season.ConclusionThe use of TR and 89.5 kg N ha−1 proved to be a potential strategy in increasing maize grain yields, produce higher return on investment and increase RWUE. The use of TRs and 89.5 kg N ha−1 is recommended because of high maize grain yield, RWUE and return on investment.
Exploring a hierarchical model for circular economy transition through launching green marketing
Authors: Lu Shih‐Hao , Ngo Thanh‐Sang , Tran Huyen Thi Thanh 
Published: September 2023

AbstractThe hospitality industry has been highlighted as an important economic sector that is vulnerable to climate change. However, this industry is also considered to have a substantial contribution to the degradation of the environment by consuming excessive quantities of energy, producing approximately 8% of worldwide greenhouse gas emissions. Previous studies have proposed the circular economy as an optimal concept to address this issue by eliminating waste and maximizing resource utilization. In light of that, many hotels are striving to shift the traditional linear economy into a circular economy by adopting green marketing into their business operations. However, they still face many obstacles in making an effective transition to a circular‐style economy due to the lack of an appropriate approach. To fill this gap, this study aims to develop a framework to give insights on which aspects can foster the circular economy transition process through green marketing implementation. Therefore, this study proposes a hybrid method that integrates an exploratory factor analysis with a fuzzy synthetic method and a decision‐making trial and evaluation laboratory to structure the hierarchical model and provide guidance to decision‐makers for future improvements under resource constraints. The results reveal that advantage acquisition and behavior transition are the most influential aspects in accelerating the transition to the circular economy in the hospitality industry. The crucial theoretical and managerial implications are also discussed.
Does the firms' digital transformation drive environmental innovation in China?
Authors: Tao Yunqing , Lu Huishan , Ye Yongwei , Wu Haitao 
Published: September 2023

AbstractEnvironmental innovation is an important practical exploration for enterprises to realize a win‐win situation between economic and environmental benefits. In order to explore the environmental innovation effect of enterprise digital transformation, we empirically examine the impact of enterprise digital transformation on environmental innovation based on the micro data of listed enterprises from 2009 to 2020. We find that enterprise digital transformation has a significantly positive effect on environmental innovation, and our finding still holds after considering various robustness tests. The mechanism test indicates that alleviating financing constraints and improving human capital structure serve as critical channels. In addition, the impact of firms' digital transformation on environmental innovation shows some variability with geographic location, industry factor intensity, and pollution level. Our findings provide new insights and policy implications for enterprises to balance development efficiency and environmental innovation.
Robustness improvements for 2D reinforced concrete moment resisting frames: Parametric study by means of NLFE analyses
Authors: Miceli Elena , Castaldo Paolo 
Published: September 2023

AbstractThis study develops a 2D computational parametric analysis of ordinary reinforced concrete (RC) frames, located in seismic zone, with the aim to evaluate some design suggestions with respect to their effectiveness in increasing the structural robustness. Specifically, a five‐storey and four‐span 2D RC moment resisting frame is considered, designed in a highly seismic area according to both Italian and European codes. Subsequently, respecting the seismic design code provisions through a cyclic design procedure, some modifications are suggested regarding the layout of the longitudinal reinforcement bars of the beams to exploit the continuity, Vierendeel behavior and influence of the side face reinforcement bars in the beams. For the different modifications, nonlinear finite element pushdown analyses of the whole frames are performed by imposing a monotonically increasing vertical displacement at the point of the column removal in Atena‐2D and considering the presence of the orthogonal framed systems. Furthermore, two different failure scenarios are examined. The numerical force‐displacement capacity curves corresponding to the different proposed design suggestions are investigated and compared. The results have demonstrated the effectiveness in improving the structural robustness of the proposed solutions, especially, of the side face reinforcement bars with respect to both flexural and catenary behavior. The outcomes have also highlighted the compatibility between design criteria of both robustness and earthquake engineering.
Placental T2* and BOLD effect in response to hyperoxia in normal and growth‐restricted pregnancies: multicenter cohort study
Authors: Jacquier M. , Chalouhi G. , Marquant F. , Bussieres L. , Grevent D. , Picone O. , Mandelbrot L. , Mahallati H. , Briand N. , Elie C. , Siauve N. , Salomon L. J. 
Published: September 2023

ABSTRACTObjectivesBlood‐oxygen‐level‐dependent (BOLD) magnetic resonance imaging (MRI) facilitates the non‐invasive in‐vivo evaluation of placental oxygenation. The aims of this study were to identify and quantify a relative BOLD effect in response to hyperoxia in the human placenta and to compare it between pregnancies with and those without fetal growth restriction (FGR).MethodsThis was a prospective multicenter study (NCT02238301) of 19 pregnancies with FGR (estimated fetal weight (EFW) on ultrasound < 5th centile) and 75 non‐FGR pregnancies (controls) recruited at two centers in Paris, France. Using a 1.5‐Tesla MRI system, the same multi‐echo gradient‐recalled echo (GRE) sequences were performed at both centers to obtain placental T2* values at baseline and in hyperoxic conditions. The relative BOLD effect was calculated according to the equation 100 × (hyperoxic T2* − baseline T2*)/baseline T2*. Baseline T2* values and relative BOLD effect were compared according to EFW (FGR vs non‐FGR), presence/absence of Doppler anomalies and birth weight (small‐for‐gestational age (SGA) vs non‐SGA).ResultsWe observed a relative BOLD effect in response to hyperoxia in the human placenta (median, 33.8% (interquartile range (IQR), 22.5–48.0%)). The relative BOLD effect did not differ significantly between pregnancies with and those without FGR (median, 34.4% (IQR, 24.1–48.5%) vs 33.7% (22.7–47.4%); P = 0.95). Baseline T2* Z‐score adjusted for gestational age at MRI was significantly lower in FGR pregnancies compared with non‐FGR pregnancies (median, −1.27 (IQR, −4.87 to −0.10) vs 0.33 (IQR, −0.81 to 1.02); P = 0.001). Baseline T2* Z‐score was also significantly lower in those pregnancies that subsequently delivered a SGA neonate (n = 23) compared with those that delivered a non‐SGA neonate (n = 62) (median, −0.75 (IQR, −3.48 to 0.29) vs 0.35 (IQR, −0.79 to 1.05); P = 0.01).ConclusionsOur study confirms a BOLD effect in the human placenta and that baseline T2* values are significantly lower in pregnancies with FGR. Further studies are needed to evaluate whether such parameters may detect placental insufficiency before it has a clinical impact on fetal growth. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
Validation of Fetal Medicine Foundation competing‐risks model for small‐for‐gestational‐age neonate in early third trimester
Authors: Dagklis T. , Papastefanou I. , Tsakiridis I. , Sotiriadis A. , Makrydimas G. , Athanasiadis A. 
Published: September 2023

ABSTRACTObjectiveTo evaluate the new 36‐week Fetal Medicine Foundation (FMF) competing‐risks model for the prediction of small‐for‐gestational age (SGA) at an earlier gestation of 30 + 0 to 34 + 0 weeks.MethodsThis was a retrospective multicenter cohort study of prospectively collected data on 3012 women with a singleton pregnancy undergoing ultrasound examination at 30 + 0 to 34 + 0 weeks' gestation as part of a universal screening program. We used the default FMF competing‐risks model for prediction of SGA at 36 weeks' gestation combining maternal factors (age, obstetric and medical history, weight, height, smoking status, race, mode of conception), estimated fetal weight (EFW) and uterine artery pulsatility index (UtA‐PI) to calculate risks for different cut‐offs of birth‐weight percentile and gestational age at delivery. We examined the accuracy of the model by means of discrimination and calibration.ResultsThe prediction of SGA < 3rd percentile improved with the addition of UtA‐PI and with a shorter examination‐to‐delivery interval. For a 10% false‐positive rate, maternal factors, EFW and UtA‐PI predicted 88.0%, 74.4% and 72.8% of SGA < 3rd percentile delivered at < 37, < 40 and < 42 weeks' gestation, respectively. The respective values for SGA < 10th percentile were 86.1%, 69.3% and 66.2%. In terms of population stratification, if the biomarkers used are EFW and UtA‐PI and the aim is to detect 90% of SGA < 10th percentile, then 10.8% of the population should be scanned within 2 weeks after the initial assessment, an additional 7.2% (total screen‐positive rate (SPR), 18.0%) should be scanned within 2–4 weeks after the initial assessment and an additional 11.7% (total SPR, 29.7%) should be examined within 4–6 weeks after the initial assessment. The new model was well calibrated.ConclusionsThe 36‐week FMF competing‐risks model for SGA is also applicable and accurate at 30 + 0 to 34 + 0 weeks and provides effective risk stratification, especially for cases leading to delivery < 37 weeks of gestation. © 2023 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.