A Micro Insight of Water Permeation in Polyurethane: Navigating for Water Transport.

Polyurethane (PU) grouting materials are widely used in underground engineering rehabilitation, particularly in reinforcement and waterproofing engineering in deep-water environments. The long-term effect of complex underground environments can lead to nanochannel formation within PU, weakening its repair remediation effect. However, the permeation behavior and microscopic mechanisms of water molecules within PU nanochannels remain unclear.

Joint suppression method for range-Doppler ambiguity sidelobes in DTMB-based passive bistatic radar.

To mitigate the impact of the suboptimal ambiguity function of digital television terrestrial multimedia broadcasting (DTMB) signal, used as the illuminator of opportunity in passive bistatic radar, this paper provides a detailed analysis of the ambiguity function characteristics based on the physical structure of the DTMB signal frame. It elucidates the mechanisms behind intra-frame and inter-frame range sidelobes, as well as Doppler sidelobes. Building on this analysis, a novel joint method for suppressing range-Doppler ambiguity sidelobes is proposed to achieve unambiguous target detection.

Bearing Dynamics Modeling Based on the Virtual State-Space and Hammerstein-Wiener Model.

This study investigates a novel approach for assessing the health status of rotating machinery transmission systems by analyzing the dynamic degradation of bearings. The proposed method generates multi-dimensional data by creating virtual states and constructs a multi-dimensional model using virtual state-space in conjunction with mechanism model analysis. Innovatively, the Hammerstein-Wiener (HW) modeling technique from control theory is applied to identify these dynamic multi-dimensional models.

Corrigendum to "Digital capability and green innovation: The perspective of green supply chain collaboration and top management's environmental awareness" [Heliyon 10(11) (June 2024) e32290].

[This corrects the article DOI: 10.1016/j.heliyon.

Injury severity analysis of e-bike riders in China based on the in-vehicle recording video crash data: a random parameter ordered logit model.

This study investigates the impacts of various factors on e-bike riders' injury severity in crashes with motor vehicles, based on the in-vehicle recording video crash data in China. Variables from human factors, vehicle characteristics, road conditions, and environmental attributes are extracted from the video, especially for drivers and riders' illegal and avoidance behaviour before the crash, and sun shade canopy use. Results of mixed logit models reveal that drivers' speeding, running red lights, slow-down and swerve behaviour, light trucks, heavy trucks, and buses have significantly varied impacts on riders' injury.

Research on finite element simulation and full-scale-vehicle crash test of B750HL bridge barrier.

How to raise the bridge barrier with a concrete base height of only 51 cm to SS level of protection is not yet studied. In order to effectively retrofit an existing concrete barrier design to meet new crash testing criteria, the structural dimensions and concrete strength of the existing bridge barrier were investigated, and finite element simulation analysis was carried out, and simulation suggested the existing barrier was insufficient. Based on the structural dimension design principles of bridge barriers, the existing structure of bridge barrier was designed after adding lightweight and high-strength B750HL material crossbeams and posts on top of the concrete base, and the bearing capacity of the bridge barrier was calculated based on the yield line theory.

Digital capability and green innovation: The perspective of green supply chain collaboration and top management's environmental awareness.

The emergence of the digital economy has accelerated digital transformation, and digitalization has shown new potential and solutions to increasingly severe environmental challenges. Based on the resource-based view, dynamic capability view, synergy effect and upper echelons theory, the connotation and measurement dimensions of digital capability and green supply chain collaboration are defined and improved. Then, a theoretical model of "digital capability-green supply chain collaboration-green innovation performance" is constructed.

Deep neural network uncertainty estimation for early oral cancer diagnosis.

Background: Early diagnosis in oral cancer is essential to reduce both morbidity and mortality. This study explores the use of uncertainty estimation in deep learning for early oral cancer diagnosis.

Methods: We develop a Bayesian deep learning model termed 'Probabilistic HRNet', which utilizes the ensemble MC dropout method on HRNet.

EFL teachers' engagement: The impact of well-being and emotion regulation.

As foreign language education is a challenging and complex activity, investigating the factors that influence English as foreign language (EFL) teachers' engagement may be an interesting area of research. In this field, teachers' engagement is considered an important factor related to people's perception of work. With the emergence of Positive Psychology (PP), and with regard to the role of constructive emotion variables in teachers' engagement, more attention was paid to the practical aspects of life, and it views well-being as a crucial concern for individuals' success.

Neurodynamics-based distributed model predictive control of a low-speed two-stroke marine main engine power system.

This article studies a steady operation optimization problem of a low-speed two-stroke marine main engine (LTMME) power system including a cooling water subsystem, a fuel oil subsystem and a main engine subsystem with input and state constraints. Firstly, a distributed model with coupling inputs and states is established for the LTMME power system according to laws of thermodynamics and kinetics. Further, an optimization problem of the LTMME power system is formulated to ensure the system to operate steadily, subjected to constraint conditions of the distributed model and the input and state bounds.

Towards an uncertainty evaluation model for marine track considering local sampling cloud and sample information.

To evaluate the practical ability of crews during the navigation of an inward-port single ship, a track evaluation model was developed on a planar forward normal cloud chart under sample information based on the forward normal and the backward normal cloud generator. Since the track sampling cloud may be too divergent, a track belt division method based on the contributions of normal cloud drops was proposed. Combining the track evaluation model with the track belt division method, a comprehensive track evaluation scheme of the local sampling cloud based on sampling information was established.

Assessment of predicted aircraft engine non-volatile particulate matter emissions at Hangzhou Xiaoshan International Airport using an integrated method.

Assessing the aircraft engine nonvolatile particulate matter (nvPM) emissions during landing and take-off (LTO) cycles is significant for airport air quality management. However, presently few prior studies have examined aircraft engine nvPM emissions on a daily basis for optimizing flight operations at airports. Therefore, based on the latest first-order approximation method of engine nvPM emissions, we introduce the engine emission data and aircraft flight data to establish an integrated method for estimating daily aircraft engine nvPM emissions at airports.

Automatic detection of oral cancer in smartphone-based images using deep learning for early diagnosis.

Significance: Oral cancer is a quite common global health issue. Early diagnosis of cancerous and potentially malignant disorders in the oral cavity would significantly increase the survival rate of oral cancer. Previously reported smartphone-based images detection methods for oral cancer mainly focus on demonstrating the effectiveness of their methodology, yet it still lacks systematic study on how to improve the diagnosis accuracy on oral disease using hand-held smartphone photographic images.

Experimental Study on Corrosion and Mechanical Behavior of Main Cable Wires Considering the Effect of Strain.

To study the corrosion degradation of cable wires in a bridge's life, this research work created an accelerated corrosion test device, which sought to identify an optimal constant strain level. An accelerated corrosion test was carried out and the corroded specimens were scanned using super depth 3D microscopy technology. Mass loss and minimum cross-sectional diameter was measured to understand the degradation characteristics of cable wires at variable strains and corrosion time.

The Influence of the Tri-reference Points on Fairness and Satisfaction Perception.

We examined the influence of three reference points (minimum requirements [MR], the status quo [SQ], and goal [G]) proposed by the tri-reference point (TRP) theory on fairness and satisfaction perceptions of pay in three laboratory experiments. To test the effects, we manipulated these three reference points both implicitly (Experiment 1) and explicitly (Experiments 2 and 3). We also provided the information of the salary offered to a peer person that was lower than, equal to, or higher than the salary offer to the participant.

Modeling Day-to-day Flow Dynamics on Degradable Transport Network.

Stochastic link capacity degradations are common phenomena in transport network which can cause travel time variations and further can affect travelers' daily route choice behaviors. This paper formulates a deterministic dynamic model, to capture the day-to-day (DTD) flow evolution process in the presence of degraded link capacity degradations. The aggregated network flow dynamics are driven by travelers' study of uncertain travel time and their choice of risky routes.

(E)-Ethyl N'-(4-bromo-benzyl-idene)hydrazinecarboxyl-ate.

The title compound, C(10)H(11)BrN(2)O(2), crystallizes with two independent mol-ecules in the asymmetric unit, in which the dihedral angles between the benzene ring and the hydrazine carboxylic acid mean plane are 3.0 (4) and 45.3 (3)°.

(E)-Ethyl N'-(2-hydroxy-benzyl-idene)-hydrazinecarboxyl-ate.

There are two mol-ecules in the asymmetric unit of the title compound, C(10)H(12)N(2)O(3), with identical conformations. Each independent mol-ecule is approximately planar and adopts a trans configuration with respect to the C=N double bond. Intra-molecular O-H⋯N hydrogen bonds are observed in both mol-ecules.

4-(Dimethyl-amino)benzaldehyde.

The title compound, C(9)H(11)NO, crystallizes with two independent but essentially identical mol-ecules in the asymmetric unit, which are linked via a C-H⋯π inter-action. In both mol-ecules, the aldehyde and dimethyl-amine groups are essentially coplanar with the attached benzene ring. In the crystal structure, C-H⋯O hydrogen bonds link one type of independent mol-ecules into a chain along the a axis.

(E)-Ethyl N'-[1-(2-hydroxy-phen-yl)ethyl-idene]hydrazinecarboxyl-ate.

In the mol-ecule of the title compound, C(11)H(14)N(2)O(3), the dihedral angle between the benzene ring and the hydrazinecarboxyl-ate mean plane is 3.65 (12)°. Intra-molecular C-H⋯N and O-H⋯N hydrogen bonds result in the formation of a nearly planar six-membered ring, which is oriented at a dihedral angle of 2.