What E-Learning Providers and End Users Should Do Respectively before Initiating Such a Learning Project

As an E-learning provider, before offering such a product it needs to carry out a thorough analysis in order to understand the customers and trends, and evaluate external environmental forces which include market demand, political and legal forces, social and ethical influences, technology and competition. Through conducting a thorough analysis, a clear strategy can be developed that identifies which customers the e-learning provider is to target and where their product or services will be best positioned. To some extent providers are forced continually to forecast, monitor and assess this environment and to adapt e-learning products or services accordingly before offering learning products. To implement e-learning project successfully, the end users need to understand what e-learning is good at and not so good at. When this basic analysis is complete, one can go into the organization looking for specific learning needs that could be met with e-learning. The advantage of starting by doing is that users will find out where they need help, and where they can manage perfectly well on their own. For any company, the returns must be considered carefully before undertaking such a program. In this article, it also explores the benefits of e-learning investments with a particular focus upon measuring the value of delivering an enterprise e-learning initiative. In addition to the many measurable returns, the paper offers a number of formulas for calculating the ROI and justifying the cost. The article concludes with guidelines detailing the implementation of e-learning initiative

What All Stakeholders Should Do: Creating E-Learning Communities

This paper examines how companies that offer e-learning products collaborate with their clients, external experts and end users. Given increased demands for more sophisticated learning products, it is becoming increasingly crucial for e-learning firms to source and exploit content, education, knowledge and expertise that are beyond the traditional boundaries of the firm. These changes raise a set of problems related to how firms can effectively interact and collaborate with other stakeholders in order to create, distribute and improve e-learning products. Based on some previous researches and the existing literature on “communities of practice”, it is proposed that “learning communities” should be established by leading firms to meet demands for new e-learning products

Biomass-derived carbon material as efficient electrocatalysts for the oxygen reduction reaction

Despite the abundance of carbon in nature, a significant portion of the existing biomass carbon materials in livestock, agriculture, and marine fishery industry are currently being wasted. Utilizing sustainable carbon materials as an alternative to noble Pt-based catalysts is crucial step to convert widely available and low-cost biomass resources into clean energy systems. Therefore, the rational synthesis of carbon-based catalysts for oxygen reduction reaction (ORR) has become a hot research focus in the field of electrochemistry. In this study, the recent progress in the synthesis of ORR electrocatalysts using sustainable biomass resources was reviewed; the activation and synthesis strategies of various biomass resources, as well as the microstructure and oxygen reduction performance of the prepared carbon-based catalysts were investigated. It is hoped that this review article will promote the understanding of various parameters from biomass as precursors for catalyst preparation and make contribute to the transition of biomass resources from the wasted carbon materials to the main catalysts in future energy devices.</p

Insight into the Effects of Electrostatic Potentials on the Conversion Mechanism of the Hydrogen-Bonded Complexes and Carbon-Bonded Complexes: An Ab Initio and Quantum Theory of “Atoms in Molecules” Investigation

Carbon bond and hydrogen bond are common noncovalent interactions; although recent advances on these interactions have been achieved in both the experimental and computational aspects, little is known about the conversion mechanism between them. Here, MP2 calculations with aug-cc-pVDZ basis set (aug-cc-pVDZ-pp for element Sn) were used to optimize the geometric configurations of the hydrogen-bonded complexes MH3F···HCN (M = C, Si, Ge, and Sn), carbon-bonded complexes HCN···MH3F (M = C, Si, Ge, and Sn), and transition states; the conversion mechanism between these two types of interactions has been carried out. The molecular electrostatic potential, especially the σ-hole, is directly related to the flatten degree of intrinsic reaction coordinate (IRC) curve. The energy barriers from the hydrogen-bonded complexes to the carbon-bonded complexes are 6.99, 7.73, 10.56, and 13.59 kJ·mol–1. The energy barriers from the carbon-bonded complexes to the hydrogen-bonded complexes are 4.65, 7.81, 9.10, and 13.04 kJ·mol–1. The breakage and formation of the bonds along the reaction paths have been discussed by the topological analysis of electronic density. The energy barriers are obviously related to the width of the structure transition region (STR). For the first derivative curve of IRC energy surface versus reaction coordinate, there is a maximum peak and a minimum peak, reflecting the structural transition states in the ring STRs

Design and Research of Automatic Garment-Pattern-Generation System Based on Parameterized Design

Personalization in the apparel industry shows importance and the potential for demand, but the existing personalization has unreasonable time cost, labor cost, and resource waste. To solve the problems of the waste of resources as well as both time and labor cost caused by manual pattern making in clothing personalization, a method of automatic garment pattern generation based on a parametric formula and the Python language was proposed. Based on the classification of common curves in patterns, three curve fitting algorithms based on different parameters were derived and combined with the Python language to achieve personalized generation of different patterns by classifying the parameters in the system into key parameters, secondary parameters, and variable parameters. Three different methods for verifying the accuracy of the garment patterns were proposed based on curve fitting similarity and three-dimensional virtual modeling, and the accuracy of the proposed system was verified. The results show that the accuracy and comfort of the patterns generated via the system were high. Meanwhile, the Python-language-based system fits well with the production system of enterprises, which can improve the rapid response capability of garment personalization, greatly save the time cost and labor cost of enterprises, reduce resource loss, and contribute to the sustainable development of the garment industry

Micronano Porous Mo2C@C Nanorods Composites as Robust Anodes for Li-ion Battery

Micronano porous Mo2C@C nanorods (NRs) composite anodes are successfully synthesized using the raw materials of MoO3 NRs, polyacrylonitrile (PAN) polymer, and inactive sodium chloride (NaCl) microparticles. The abundant and soluble NaCl microparticles act as the sacrificial templates, which increase the surface contact area between the MoO3 NRs and the PAN polymer, thus promoting the thorough formation of Mo2C electrodes during the carbonization process. The optimized Mo2C@C-template (MCC-T) NR composite electrodes deliver an enhanced electrochemical performance, which is ascribed to the enlarged surface area, reduced path distance of lithium ions, and structural stability. In addition, the Li-ion storage mechanism and the electrochemical kinetics of Mo2C@C NR composite anodes are also systemically and experimentally investigated by ex situ X-ray diffraction (XRD) and cyclic voltammetry (CV) techniques. This synthetic strategy for MCC-T NR composite anodes is helpful to design other nanostructured carbide anodes for high-performance lithium-ion batteries (LIBs)

A TiSe₂-Graphite Dual Ion Battery:Fast Na-Ion Insertion and Excellent Stability

The sodium dual ion battery (Na-DIB) technology is proposed as highly promising alternative over lithium-ion batteries for the stationary electrochemical energy-storage devices. However, the sluggish reaction kinetics of anode materials seriously impedes their practical implementation. Herein, a Na-DIB based on TiSe2-graphite is reported. The high diffusion coefficient of Na-ions (3.21×10−11–1.20×10−9 cm2 s−1) and the very low Na-ion diffusion barrier (0.50 eV) lead to very fast electrode kinetics, alike in conventional surface capacitive storage systems. In-situ investigations reveal that the fast Na-ion diffusion involves four insertion stage compositions. A prototype cell shows a reversible capacity of 81.8 mAh g−1 at current density of 100 mA g−1, excellent stability with 83.52 % capacity retention over 200 cycles and excellent rate performance, suggesting its potential for next-generation large scale high-performance stationary energy storage systems