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Spiral bevel and hypoid gears are key components widely used for transmitting significant power in various types of vehicles and engineering machineries. In reality, these gear surfaces are quite rough with three-dimensional (3D) topography that may significantly influence the lubrication formation and breakdown as well as components failures. Previous spiral bevel and hypoid gears lubrication studies, however, were limited mostly to cases under the full-film lubrication condition with smooth surfaces. In the present study, a comprehensive analysis for gearing geometry, kinematics, mixed lubrication performance, and friction and interfacial flash temperature in spiral bevel and hypoid gears is developed based on a recently developed mixed elastohydrodynamic lubrication (EHL) model that is capable of handling practical cases with 3D machined roughness under severe operating conditions and considering the effect of arbitrary entrainment angle. Obtained results from sample cases show that the simulation model developed can be used as an engineering tool for spiral bevel and hypoid gears design optimization and strength prediction.

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Rational molecular design for the organic nanocrystal morphology still remains a challenge due to the structural diversity and complicated weak intermolecular interactions. In this work, a typical attractor-repulsor molecule N,N-diphenyl-4-(9-phenyl-fluoren-9-yl) phenylamine (TPA-PF) is designed to explore a general assembly strategy for 2D nanocrystals. Via an interdigital lipid bilayer-like (ILB) molecular packing mode, large-sized lamellar 2D nanosheets are obtained with a length:width:thickness ratio as ≈2500:1000:1. The d-spacing of the largest (001) plane is 1.32 nm, which equals to the thickness of a single interdigital stacking layer. The synergetic effect of the attractive supramolecular segment (TPA) and the repulsive bulky group (PF) is supposed to be the critical factor for the ILB packing that leads to the 2D structures. The attractor-repulsor molecule design is expected to be an effective strategy for the growth of 2D nanocrystals based on small organic molecules.

Nanotechnology presents great potential for increasing efficacy of docetaxel while reducing side-effects and toxicity. However, in vivo toxicity of nano-formulation of docetaxel has not been systemically investigated yet. Herein, the new docetaxel-loaded solid lipid nanoparticles (DSNs) were prepared, and systemic toxicity of DSNs in different animals was comprehensively investigated. The experimental results showed that no allergenicity and vascular irritation were induced by DSNs at the highest drug concentration of clinical infusion. The maximum tolerated dose (MTD) of DSNs was as high as 400 mg/kg in mice while the medial lethal dose (LD₅₀) of Taxotere® was 149.31 mg/kg. The long-term toxicity of DSNs compared with Taxotere® in beagle dogs by intravenous infusion weekly for four weeks showed that the administration of Taxotere® at 1 mg/kg brought about severe signs of toxicity such as skin flushing, vocalization and salivation. However, no abnormal reactions appeared on animals treated with DSNs at dose of 4 mg/kg. At the same dose level, DSNs induced more minor decreases in body weight gains, slighter hemotoxicity (changes in some clinical hematology and biochemistry parameters), cardiac toxicity, hepatotoxicity and myelosuppression than Taxotere®. These results could provide an important reference for developing the novel delivery system of docetaxel.

Point cloud registration is essential for processing terrestrial laser scanning 16 (TLS) point cloud datasets. The registration precision directly in uences 17 and determines the practical usefulness of TLS surveys. However, in terms 18 of target based registration, analytical point cloud registration error models 19 employed by scanner manufactures are only suitable to evaluate target regis20 tration error, rather than point cloud registration error. This paper proposes 21 an new analytical approach called the registration error (RE) model to di22 rectly evaluate point cloud registration error. We verify the proposed model 23 by comparing RE and root mean square error (RMSE) for all points in 24 three point clouds that are approximately equivalent.

Rigid transformation including rotation and translation can be elegantly represented by a unit dual quaternion. Thus, a non-differential model of the Helmert transformation (3D seven-parameter similarity transformation) is established based on unit dual quaternion. This paper presents a rigid iterative algorithm of the Helmert transformation using dual quaternion. One small rotation angle Helmert transformation (actual case) and one big rotation angle Helmert transformation (simulative case) are studied. The investigation indicates the presented dual quaternion algorithm (QDA) has an excellent or fast convergence property. If an accurate initial value of scale is provided, e.g., by the solutions no. 2 and 3 of Závoti and Kalmár (Acta Geod Geophys 51: [245][246][247][248][249][250][251][252][253][254][255][256] 2016) in the case that the weights are identical, QDA needs one iteration to obtain the correct result of transformation parameters; in other words, it can be regarded as an analytical algorithm. For other situations, QDA requires two iterations to recover the transformation parameters no matter how big the rotation angles are and how biased the initial value of scale is. Additionally, QDA is capable to deal with point-wise weight transformation which is more rational than those algorithms which simply take identical weights into account or do not consider the weight difference among control points. From the perspective of transformation accuracy, QDA is comparable to the classic Procrustes algorithm (Grafarend and Awange in J Geod 77: [66][67][68][69][70][71][72][73][74][75][76] 2003) and orthonormal matrix algorithm from Zeng (Earth Planets Space 67:105, 2015. https://doi.

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