Traditional firms are opening up to blockchain and its decentralised apps

Many decentralised applications (dapps) are in their beginning phases in terms of technology and regulation, which for some means the future of blockchain has an uncertain look. Some investors question whether or not these dapps will be useful, and struggle as the business models have yet to be proven. Few companies have undergone a large-scale transformation to blockchain, and non-blockchain firms are nervous to invest a large amount of resources to blockchain. This attitude, however, is changing quickly

Using data envelopment analysis for supplier evaluation with environmental considerations

With the proliferation of outsourcing in global market place, supplier selection has become a key strategic consideration in forming a competitive supply chain. Supplier selection has been recognized as a multi-criteria decision making problem in which suppliers are evaluated according to multiple criteria such as price, quality, delivery and service simultaneously. Facing with excessive pressures from government and customers, increasing number of companies are beginning to consider environmental issues in the procurement and supplier selection process to practice the sustainable development. It is therefore necessary to measure a supplier’s environmental performance. This paper aims to find out what kind of environmental criteria can be applied to assess suppliers overall performances. The multicriteria decision making approach data envelopment analysis (DEA) is applied to help companies to evaluate suppliers’ various environmental performance and other capabilities simultaneously. © 2013 IEEE.published_or_final_versio

CSR and environmental criteria in supplier selection

Session - Green Manufacturing Technology: paper no. M3C1The APIEMS 2012 Conference proceedings' website is located at http://apiems.net/conf2012/The supplier selection issue in today’s world does not simply depend on price anymore. Other non-price criteria such as quality, delivery and overall capability are gradually gaining equal importance. Because of the globalization of trade, the world is becoming an increasingly open and global marketplace where the intense competition is urging companies to reduce the cost and development time of a new product. Companies are forced to take every possible factor into consideration when making the strategic decision to minimize costs and product development time. That means besides taking price into consideration, companies now also has to assess the overall capability of the suppliers, such as production capability, technological capability, company reputation and other factors that are hard to be quantified, in order to make the most informed decision to strive for a balance between lowering profits and rising costs. Different companies have their own ways in carrying out the supplier selection process that aligns with their corporate strategy. This paper is interested in what criteria are used in supplier evaluation and the ranking of the criteria importance. In particular, the focus is the incorporation of corporate social responsibility (CSR) and environmental responsibility (ER) requirements into supplier selection. With the increasing awareness of CSR and ER, large international corporations have been paying more attention in selecting suppliers that are capable of adhering to the practice of sustainability. Hence, this paper aims to find out what criteria or performance indicators are adopted by companies to assess their suppliers, and how much importance CSR and ER contributes to the final decision of the selected supplier. A multi-agent system is implemented with a multi criteria decision making model to incorporate the criteria identified for evaluating supplier performance and selecting the most suitable supplier.published_or_final_versio

PRESENT STATUS OF THE POHANG LIGHT-SOURCE

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Extrinsic high-effort and low-reward conditions at work among institutional staff caring for people with intellectual disabilities in Taiwan

[[abstract]]The purposes of the present study were to determine whether extrinsic high-effort/low-reward conditions at work are associated with personal characteristics and the organizational environments. A cross-sectional survey was conducted (76.7% response rate, N = 1243) by recruiting the staff caring for people with intellectual disabilities of Taiwan in 2006. Conditions at work were measured using Siegrist's Effort-Reward Imbalance (ERI) model, the questionnaire included 23 Likert scaled items and it divided into three scales: effort, reward and overcommitment. Multiple logistic regression modeling was conducted for extrinsic high-effort/low-reward status in relation to staff and working environmental factors. We found that 15.1% staff were in the low-effort/low-reward group, 35.9% was in the low-effort/high-reward group, 17.9% belonged to the high-effort/high-reward group and 31.1% was included in the high-effort/low-reward group. Controlling for many personal demographic and organizational characteristics, the factors of perceived job support (OR = 0.91; 95% CI = 0854-0.97), job control (OR=0.954, 95%. CI=0.934-0.974), job demand (OR = 1.155, 95% CI = 1.109-1.263) and job stress (felt sometimes stressful compare to no stress at all, OR-2.305, 95% CI = 1.161-4.575) of the staff were significantly correlated to the extrinsic high effort/low reward at work in the multiple logistic regression model. The present study highlights that the service providers need to be aware and understand the experiences that their staff encounters in the organizational, interpersonal and personal level regarding unfair working conditions such as high effort/low reward to improve the positive health of the staff. (C) 2008 Elsevier Ltd All rights reserved

PCA-RECT: An Energy-efficient Object Detection Approach for Event Cameras

We present the first purely event-based, energy-efficient approach for object detection and categorization using an event camera. Compared to traditional frame-based cameras, choosing event cameras results in high temporal resolution (order of microseconds), low power consumption (few hundred mW) and wide dynamic range (120 dB) as attractive properties. However, event-based object recognition systems are far behind their frame-based counterparts in terms of accuracy. To this end, this paper presents an event-based feature extraction method devised by accumulating local activity across the image frame and then applying principal component analysis (PCA) to the normalized neighborhood region. Subsequently, we propose a backtracking-free k-d tree mechanism for efficient feature matching by taking advantage of the low-dimensionality of the feature representation. Additionally, the proposed k-d tree mechanism allows for feature selection to obtain a lower-dimensional dictionary representation when hardware resources are limited to implement dimensionality reduction. Consequently, the proposed system can be realized on a field-programmable gate array (FPGA) device leading to high performance over resource ratio. The proposed system is tested on real-world event-based datasets for object categorization, showing superior classification performance and relevance to state-of-the-art algorithms. Additionally, we verified the object detection method and real-time FPGA performance in lab settings under non-controlled illumination conditions with limited training data and ground truth annotations.Comment: Accepted in ACCV 2018 Workshops, to appea

Bio-Inspired Preparation of Clay–Hexacyanoferrate Composite Hydrogels as Super Adsorbents for Cs+

A facile and low-cost fabrication route, inspired by the adhesive proteins secreted by mussels, has been developed to prepare a clay-based composite hydrogel (DHG(Cu)) containing hexacyanoferrate (HCF) nanoparticles for the selective removal of Cs+ from contaminated water. Initially, montmorillonite was exfoliated prior to coating with a thin layer of polydopamine (PDOPA) via the self-polymerization of dopamine. Mixing the composite (D-clay) with the HCF precursor, followed by the addition of copper ions, led to the self-assembly of the polymer-coated exfoliated clay nanosheets into a three-dimensional network and in situ growth of KCuHCF nanoparticles embedded within the gel structure. Analytical characterization verified the fabrication route and KCuHCF immobilization by a copper–ligand complexation. Rheology testing revealed the composite hydrogel to be elastic under low strain and exhibited reversible, self-healing behavior following high strain deformation, providing a good retention of KCuHCF nanoparticles in the membrane. The adsorbent DHG(Cu) showed a superior Cs+ adsorption capacity (∼173 mg/g), with the performance maintained over a wide pH range, and an excellent selectivity for Cs+ when dispersed in seawater at low concentrations of 0.2 ppm. On the basis of its excellent mechanico-chemical properties, the fabricated hydrogel was tested as a membrane in column filtration, showing excellent removal of Cs+ from Milli-Q water and seawater, with the performance only limited by the fluid residence time. For comparison, the study also considered other composite hydrogels, which were fabricated as intermediates of DHG(Cu) or fabricated with Fe3+ as the cross-linker and reactant for HCF nanoparticle synthesis

Blood and tissue biomarker analysis in dogs with osteosarcoma treated with palliative radiation and intra-tumoral autologous natural killer cell transfer.

We have previously reported radiation-induced sensitization of canine osteosarcoma (OSA) to natural killer (NK) therapy, including results from a first-in-dog clinical trial. Here, we report correlative analyses of blood and tissue specimens for signals of immune activation in trial subjects. Among 10 dogs treated with palliative radiotherapy (RT) and intra-tumoral adoptive NK transfer, we performed ELISA on serum cytokines, flow cytometry for immune phenotype of PBMCs, and PCR on tumor tissue for immune-related gene expression. We then queried The Cancer Genome Atlas (TCGA) to evaluate the association of cytotoxic/immune-related gene expression with human sarcoma survival. Updated survival analysis revealed five 6-month survivors, including one dog who lived 17.9 months. Using feeder line co-culture for NK expansion, we observed maximal activation of dog NK cells on day 17-19 post isolation with near 100% expression of granzyme B and NKp46 and high cytotoxic function in the injected NK product. Among dogs on trial, we observed a trend for higher baseline serum IL-6 to predict worse lung metastasis-free and overall survival (P = 0.08). PCR analysis revealed low absolute gene expression of CD3, CD8, and NKG2D in untreated OSA. Among treated dogs, there was marked heterogeneity in the expression of immune-related genes pre- and post-treatment, but increases in CD3 and CD8 gene expression were higher among dogs that lived > 6 months compared to those who did not. Analysis of the TCGA confirmed significant differences in survival among human sarcoma patients with high and low expression of genes associated with greater immune activation and cytotoxicity (CD3e, CD8a, IFN-γ, perforin, and CD122/IL-2 receptor beta). Updated results from a first-in-dog clinical trial of palliative RT and autologous NK cell immunotherapy for OSA illustrate the translational relevance of companion dogs for novel cancer therapies. Similar to human studies, analyses of immune markers from canine serum, PBMCs, and tumor tissue are feasible and provide insight into potential biomarkers of response and resistance