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Robotic wire and arc additive manufacturing (RWAAM) is becoming more and more popular for its capability of fabricating metallic parts with complicated structure. To unlock the potential of 6-DOF industrial robots and improve the power of additive manufacturing, this paper aims to present a method to fabricate curved overhanging thin-walled parts free from turn table and support structures.

Five groups of straight inclined thin-walled parts with different angles were fabricated with the torch aligned with the inclination angle using RWAAM, and the angle precision was verified by recording the growth of each layer in both horizontal and vertical directions; furthermore, the experimental phenomena was explained with the force model of the molten pool and the forming characteristics was investigated. Based on the results above, an algorithm for fabricating curved overhanging thin-walled part was presented and validated.

The force model and forming characteristics during the RWAAM process were investigated. Based on the result, the influence of the torch orientation on the weld pool flow was used to control the pool flow, then a practical algorithm for fabricating curved overhanging thin-walled part was proposed and validated.

Regarding the fabrication of curved overhanging thin-walled parts, given the influences of the torch angles on the deposited morphology, porosity formation rate and weld pool flow, the flexibility of 6-DOF industrial robot was fully used to realize instant adjustment of the torch angle. In this paper, the deposition point and torch orientation of each layer of a robotic fabrication path was determined by the contour equation of the curve surface. By adjusting the torch angle, the pool flow was controlled and better forming quality was acquired.

This paper aims to investigate how different knitted structures affect the illuminative effect of polymeric optical fibres (POFs).

Knit prototypes were constructed using a 7-gauge industrial hand flat knitting machine. The textile prototype swatches developed in this study tested POF illumination in three types of knitting structures: intervallic knit and float stitch structures; POF inlaid into double plain and full cardigan structures; and double plain and partial knitting structures. The illuminative effects of the POFs in seven prototype swatches were analysed and compared.

It is possible to use an industrial hand flat knitting machine to knit POFs. Longer floats expose more POFs, which boosts illumination but limits the textile’s horizontal stretchability. The openness of the full cardigan structure maximises POF exposure and contributes to even illumination. The partial knitting in different sections achieves the most complete physical integration of POFs into the knitted textiles but constrains the horizontal stretchability of the textiles.

The integration of POFs into knitted textiles provides a functional illuminative effect. Applications include but are not limited to fashion, architecture and interior design.

This study is novel, as it investigates new POF knitted textiles with different loop structures. This study examines how knit stitches affect POFs in intervallic knit and float stitch, inlaid POF double knit, double plain and partial knit and the illuminative effects of the knitted textile.

The purpose of this paper is to investigate the information-seeking behaviour of international students in terms of their information needs and to highlight the role of social media.

In this paper, a systematic literature survey was conducted in order to investigate information-seeking trends among international students while using social media. As a result, an exhaustive systematic literature review (SLR) was carried out in order to investigate social media as a source for the observation of the behaviours of international students. For this purpose, 71 articles were selected from various well-known sources after an intensive SLR process of searching, filtering and enforcing the inclusion and exclusion criteria.

As an outcome of this study, the information-seeking behaviour of international students was highlighted with respect to social media as a source of information. In addition, this research identifies the information needs of the international students and categorizes them by the roles played by the social media in fulfilling the information needs.

A comparative study that highlighted the dearth of studies which merge the social media and information-seeking behaviour of international students as well as identify the future direction for the researchers and for benefits of international students.

A detail SLR which highlights the need of shifting the information seeking behaviour from libraries to social media in regard to the new environment for international students.

In the early industrial age which with high intensity of machine and labor, using financial measurement index was good enough to tie in company’s mechanization and philosophy of management and been in efficiency. But being comply with “New Economic age,” a new economic environment is full of knowledge and information, the enterprise competition had changed from tangible assets, plants to intangible innovation ability of knowledge. As recognizing the new tendency by enterprise, they value gradually the growth and influence from learning. Practice of organization learning not only needs firm structure and be in coordination with both hardware and software, but also needs an affect measurement model to offer enterprise to estimate learning performance. It’s a good instrument of financial performance measure mold in the past years, But it’s for measuring the past, couldn’t formulate enterprise trend to future, hard to estimate investment for future, such as development of products, organization learning, knowledge management etc, as which intangible assets and knowledge ability just the key factors of being win around competition environment in the future. In 1992, Kaplan and Norton brought up Balance Scorecard (BSC) on Harvard Business Review, as an instrument helping enterprise to measure performance, which is being considered to be a most influence management instrument. It added non‐financial index such as customer, internal process and learning growth besides traditional financial index, as offering enterprise an index to measure and manage intangible assets and intellectual property. As being aware of organization learning is hard to be ignored in the new economic age, this research is based on learning and growth of BSC, and citing one national material company try to let the most difficult measurement performance of organization learning, to be estimate through BSC, analyze of factor and individual case, to discuss the company how to make the related strategy and vision of organization learning to develop learning and growth of the structure of BSC, subject the matter of out put factors to be discussed, and measure the outcomes as a result of research. The research affect offers (1) the base implement procedure of carrying out BSC; (2) the reference of formulating measurement index while enterprise using BSC to estimate performance of organization learning; (3) the possibility bottleneck maybe forcing while carrying out BSC, to be an improvement or preventive for enterprise.

This paper aims to study a new halogen-free fame-retardant curing agent 1-aminoethylidenediphosphonate (AAEDP).

The AAEDP was synthesized by phosphoric acid, acetonitrile and ammonia. The chemical structures of AAEDP were characterized by proton nuclear magnetic resonance, mass spectrometry and Fourier transform infrared spectrometer. Thermal gravimetric analysis (TGA) and scanning electron microscope (SEM) would study the thermal properties and the char residues of AAEDP/EP. The thermal stability, mechanical and flame properties and morphology for the char layer of composite materials were separately investigated using TGA, tensile and charpy impact tests, limiting oxygen index (LOI), UL-94 HB flammability standard (UL-94) and SEM.

The results showed that the AAEDP had been prepared successfully. When the intumescent flame retardant was added into the EP, the LOI of composite material was improved.

The AAEDP can be prepared successfully and can improve the flame resistance of composite material.

The AAEDP has excellent flame-retardant properties and produce no toxic fumes when burnt in case of fire.

The results showed that the phosphorus content of AAEDP was 2.958 Wt.%; the impact and tensile strength of the composite material were 6.417 kJ m⁻² and 38.0 MPa, respectively; and the LOI and UL-94 were 29.7% and V-0 ranking, respectively. The TGA results indicated that the carbon residue ratio can be increased by 1000°C in air. The denser and more uniform structure of residual carbon prevents heat transfer and diffusion, restricts the production of combustible gas and reduces the rate of heat release.

In response to increasing competition for consumer attention, sport governing bodies have innovated short-format, action-oriented versions of traditional sports to attract new fans. This article explores how sport governing bodies (SGBs) manage the need for innovations to both conform to existing stakeholder expectations whilst offering novel benefits in comparison to competition (i.e. legitimate distinctiveness).

Created by the English Cricket Board (ECB), The Hundred competition was used as a case study to explore the conformity-differentiation tension through a legitimacy lens using document and media analysis.

Seven themes were created to explain how the ECB managed legitimacy tensions: rule modification, team creation, scheduling, game-day experience, broadcasting, gender equity and sponsorship. In each theme, differentiation and conformity were traded-off by the ECB to prioritise pragmatic legitimacy with broadcasters and sponsors.

For sport management professionals, the Hundred demonstrates the commercial value of differentiating new sporting events from competitors via hybrid broadcasting partnerships, embedded gender equity and designing game-day experiences that attract hard-to-reach consumer demographics.

SGBs must trade-off legitimacy between sources when innovating to survive, and when faced with conflicting expectations, commercial imperatives determined whether to conform or differentiate.

The purpose of this paper is to identify the factors that motivate women in India to become self-employed. Further, it demonstrates a systematic application of grounded theory to understand how women entrepreneurs build their ventures’ success in India.

The paper throws light on the key tenets of grounded theory research and explains its use as a rigorous method for entrepreneurship research. Data were collected through 25 in-depth case studies of women entrepreneurs from diverse geographical, social, economical and industrial sectors in one of the world’s fastest growing emerging markets, namely, India.

The results of this inductive approach suggest that women-owned ventures’ path to building success is on one hand, based on their ability to recognize opportunities despite their non-business social network enhanced by their innovation capabilities. On the other hand, it is also based on their ability to find some market niches, i.e., entering into markets untapped by traditional men-owned small businesses. The author concludes that the women entrepreneurs’ paths to building competitive advantage in emerging markets manifests a number of features that are distinct from those of the women-owned businesses from developed countries. This study provides a holistic understanding of women entrepreneurs in emerging markets, an under-researched phenomenon by providing a framework to understand how they build their ventures’ success in a competitive environment.

This paper is intended as a critical review of the factors influencing women entrepreneurship in India, thus the inductively developed framework is not tested.

The main message of the paper is that women entrepreneur’s ability to (simultaneously) sell products or offer solutions to niche segments (demand side) and capabilities to optimize resources by being innovative (supply side) facilitates their path to build success for their ventures. The findings of this study provide guidelines for policy makers in emerging markets to incorporate policies such that will enhance women’s entrepreneurship despite the social constraints faced by these women. The author demonstrates that women’s involvement in developing their businesses provides job opportunities and ensures that women are taking an active part in the development of the national economy.

This study fulfills the need to explore entrepreneurship by women, in emerging economies like India. Moreover, it is probably one of the first few studies in the literature that uses empirical evidence from a variety of settings to identify factors that motivate women in India to become self-employed and provides a dynamic framework on how women-owned ventures succeed.

The purpose of this paper is to use the most popular deep learning algorithm to complete the vehicle detection in the urban area of MiniSAR image, and provide reliable means for ground monitoring.

An accurate detector called the rotation region-based convolution neural networks (CNN) with multilayer fusion and multidimensional attention (M2R-Net) is proposed in this paper. Specifically, M2R-Net adopts the multilayer feature fusion strategy to extract feature maps with more extensive information. Next, the authors implement the multidimensional attention network to highlight target areas. Furthermore, a novel balanced sampling strategy for hard and easy positive-negative samples and a global balanced loss function are applied to deal with spatial imbalance and objective imbalance. Finally, rotation anchors are used to predict and calibrate the minimum circumscribed rectangle of vehicles.

By analyzing many groups of experiments, the validity and universality of the proposed model are verified. More importantly, comparisons with SSD, LRTDet, RFCN, DFPN, CMF-RCNN, R3Det, SCRDet demonstrate that M2R-Net has state-of-the-art detection performance.

The progress in the field of MiniSAR application has been slow due to strong speckle noise, phase error, complex environments and a low signal-to-noise ratio. In addition, four kinds of imbalances, i.e. spatial imbalance, scale imbalance, class imbalance and objective imbalance, in object detection based on the CNN greatly inhibit the optimization of detection performance.

This research can not only enrich the means of daily traffic monitoring but also be used for enemy intelligence reconnaissance in wartime.

Social entrepreneurs (SEs) often face various challenges whereby they rely on the support of others to realize their objectives. In this context, ecosystem thinking is very helpful to understand how various stakeholders can assist SEs. The purpose of this paper is to develop a classification of the different types of support that third parties can provide to SEs.

The authors have developed the arguments in this paper based on a literature review of 258 articles on ecosystem thinking and social entrepreneurship. Articles have been retrieved from the Web of Science database, using as search parameters on the one hand publications in top journals, and on the other articles with more than 60 citations. In addition, the authors have received recommendations for relevant good-quality articles following a snowball procedure.

This paper contributes by distinguishing three support categories for SEs – fuel, hardware and DNA – based on what we know from ecosystem thinking. This paper elaborates on the building blocks of each support category, points at the relevant actors and discusses the interrelatedness across support categories.

The three support categories are developed by building on predominantly ecosystem literature. This study implies that the scalability of SEs’ social impact does not only depend on their strengths but also on how well they are supported.

The three support categories are complementary to the strengths of individual SEs. SEs can therefore start with what they have, and then gradually expand their support structure by surrounding themselves with stakeholders that can assist them with fuel, infrastructure and DNA.

Social enterprise theories have elaborated on the various challenges that SEs face. Lack of resources, lack of staff, lack of professional management, underdeveloped networks and mission drift are seen as the most pressing. Although the relevant literature does rightly point out the indispensable support of others, it does so without differentiating between the kinds of support that can help SEs increase their social impact. This paper offers to remedy this by creating three separate support categories: fuel, hardware and DNA.