Does COO Matter in Value Co-creation of Cross-border E-commerce?

The purpose of this paper is to explore the cross-border e-commerce value co-creation mechanism. We believe that the most significant factor affecting consumers’ cross-border online shopping is online service quality. And the country of origin effect also plays an important role in the cross-border purchase intention. Therefore, this study built a proposed model of cross-border online purchase intention based on co-create theory and two-side market theory. For the case of online cross-border shopping, perceived value is very important which can directly determine the purchase intention of customers. Based on the related theory, three significant latent variables that can indirectly determine the purchase intention of customers as follows: consumer resource, platform service quality (or ESQ), and country of origin. According to our positive study, platform service quality is the most important factor, COO is the second one, and consumer expertise is the last one. All of the antecedent variables are significant according to statistical results. Then we made the conclusions and implications

A method for direct calculation of quadratic turning points

For a given one-parameter nonlinear system, the simplest bifurcation is the quadratic turning bifurcation where the Jacobian matrix becomes singular due to rank deficiency 1. To overcome the difficulty in solving the quadratic turning point caused by the singularity of the Jacobian matrix, the conventional Newton method can be applied to the so-called Moore-Spence determination system to solve for the quadratic turning point. However, the Moore-Spence system has much higher dimensions and causes much more complexity in factorisation of the extended Jacobian matrix. In the paper, by introducing an auxiliary variable and an auxiliary linear equation into Newton iterations in solving the Moore-Spence determination system, a matrix reduction technique can be worked out to solve the Moore-Spence extended equations much more efficiently. The high dimensions of the matrix can thus be reduced and the complexity involved in matrix factorisation can be reduced noticeably. The technique is proposed for general nonlinear systems. Formulation is derived for applying this technique to solving quadratic turning points, or say nose points, on load-flow solution curves of power systems. Computer tests on the IEEE 30-busbar system and a 2416-busbar East China power system are reported to show the effectiveness of the suggested technique.published_or_final_versio

Inverse problems for nonlinear progressive waves

We propose and study several inverse problems associated with the nonlinear progressive waves that arise in infrasonic inversions. The nonlinear progressive equation (NPE) is of a quasilinear form $\partial_t^2 u=\Delta f(x, u)$ with $f(x, u)=c_1(x) u+c_2(x) u^n$, $n\geq 2$, and can be derived from the hyperbolic system of conservation laws associated with the Euler equations. We establish unique identifiability results in determining $f(x, u)$ as well as the associated initial data by the boundary measurement. Our analysis relies on high-order linearisation and construction of proper Gaussian beam solutions for the underlying wave equations. In addition to its theoretical interest, we connect our study to applications of practical importance in infrasound waveform inversion

Physical-aware Cross-modal Adversarial Network for Wearable Sensor-based Human Action Recognition

Wearable sensor-based Human Action Recognition (HAR) has made significant strides in recent times. However, the accuracy performance of wearable sensor-based HAR is currently still lagging behind that of visual modalities-based systems, such as RGB video and depth data. Although diverse input modalities can provide complementary cues and improve the accuracy performance of HAR, wearable devices can only capture limited kinds of non-visual time series input, such as accelerometers and gyroscopes. This limitation hinders the deployment of multimodal simultaneously using visual and non-visual modality data in parallel on current wearable devices. To address this issue, we propose a novel Physical-aware Cross-modal Adversarial (PCA) framework that utilizes only time-series accelerometer data from four inertial sensors for the wearable sensor-based HAR problem. Specifically, we propose an effective IMU2SKELETON network to produce corresponding synthetic skeleton joints from accelerometer data. Subsequently, we imposed additional constraints on the synthetic skeleton data from a physical perspective, as accelerometer data can be regarded as the second derivative of the skeleton sequence coordinates. After that, the original accelerometer as well as the constrained skeleton sequence were fused together to make the final classification. In this way, when individuals wear wearable devices, the devices can not only capture accelerometer data, but can also generate synthetic skeleton sequences for real-time wearable sensor-based HAR applications that need to be conducted anytime and anywhere. To demonstrate the effectiveness of our proposed PCA framework, we conduct extensive experiments on Berkeley-MHAD, UTD-MHAD, and MMAct datasets. The results confirm that the proposed PCA approach has competitive performance compared to the previous methods on the mono sensor-based HAR classification problem.Comment: First IMU2SKELETON GANs approach for wearable HAR problem. arXiv admin note: text overlap with arXiv:2208.0809

Bis[N-(8-quinol­yl)pyridine-2-carbox­amidato-κ3 N,N′,N′′]manganese(III) perchlorate monohydrate

The MnIII ion in the title complex, [Mn(C15H10N3O)2]ClO4·H2O, is coordinated meridionally by six N atoms from two tridentate N-(8-quinol­yl)pyridine-2-carboxamidate ligands, yielding a distorted octa­hedral coordination geometry. The two ligands are nearly planar and their mean planes are almost perpendicular, with a dihedral angle of 86.7 (2)°

Methyl 5-chloro-2-nitro­benzoate

In the title compound, C8H6ClNO4, the nitro and acet­oxy groups attached to the benzene ring at neighbouring positions are twisted from its plane by 29.4 (1) and 49.7 (1)°, respectively. In the crystal, weak C—H⋯O hydrogen bonds link mol­ecules into layers parallel to (101). The crystal packing exhibits short inter­molecular C⋯O distances of 2.925 (3) Å

Effects of mobile-assisted reading materials on children’s L1 lexical development

Despite the wide and extensive use of mobile-assisted devices, the effectiveness of children’s L1 learning with these mobile-assisted technologies has been less discussed. This study aims to explore the effects of mobile-assisted reading materials on Chinese children’s L1 vocabulary learning. We adopted a longitudinal and quasi-experimental design consisting of an experiment group using the mobile-assisted materials and a control group using the traditional paper materials, and took children’s lexical development as indexed by assessing the parameter, lexical diversity, in different testing times. The results showed that (1) children’s L1 vocabulary learning effectiveness of using mobile-assisted materials is as similar as that of using conventional paper materials in general, and (2) the changing patterns of children’s L1 lexical development using mobile-assisted materials in different testing times are various. Specifically speaking, (a) in the posttest 1 (the first month), compared with the traditional paper reading materials, the mobile-assisted reading materials have a facilitating effect on the primary school students’ L1 vocabulary learning; (b) in the posttest 2 (the second month), children’s vocabulary learning effectiveness is inhibited by the mobile-assisted reading materials; (c) in the delayed posttest (the fourth month), there is no difference in the learning effectiveness by these two different kinds of learning materials and the lexical diversity increases slowly but steadily. We analyzed the results from research-design factors and learner-related factors, hoping to shed light on children’s mobile-assisted language learning research