Collaborative dynamic decision making: a case study from B2B supplier selection

The problem of supplier selection can be easily modeled as a multiple-criteria decision making (MCDM) problem: businesses express their preferences with respect to suppliers, which can then be ranked and selected. This approach has two major pitfalls: first, it does not consider a dynamic scenario, in which suppliers and their ratings are constantly changing; second, it only addressed the problem from the point of view of a single business, and cannot be easily applied when considering more than one business. To overcome these problems, we introduce a method for supplier selection that builds upon the dynamic MCDM framework of Campanella and Ribeiro [1] and, by means of a linear programming model, can be used in the case of multiple collaborating businesses plan- ning their next batch of orders together.Fundação para a Ciência e a Tecnologia, Portugal, under contract CONT DOUT/49/UNINOVA/0/5902/1/200

Omni-directional vision system with fibre grating device for obstacle detection

In this study, a new omni-directional vision system is presented for localisation and wide field of view (FOV) mapping of the environment. The vision system includes two charge coupled device (CCD) cameras fitted in front of two rectilinear mirrors to sense the environment in a stereo manner. In order to obtain the points representing the obstacles in the environment, a dot-matrix laser pattern created by a fibre grating device (FGD) was used. With the help of the developed mathematical and error estimation models, the distances between the points on the objects and the vision system were determined; and by using synthetic data, the effects of noise on the error rates were analysed. Although the error rates of X-, Y- and Z-axis were increased according to the distance between the obstacle and the vision system for the same horizontal/vertical plane, the errors for X (range) and Z (height) were decreased with the increasing distance between the vision system and horizontal/vertical planes for real world. The main reasons of errors were the size and location of the laser points, reflection errors on the mirrors, sensitivity of the refractive lenses, alignment of the mirror-camera pairs and limitation of the image resolution

A New Risk Analysis Approach for Operational Risks in Logistic Sector Based on Fuzzy Best Worst Method

International Conference on Intelligent and Fuzzy Systems, INFUS 2021 -- 24 August 2021 through 26 August 2021 -- -- 264409Logistics is one of the sectors that always maintains its importance and develops day by day. In addition to the sector problems that have been solved with technological breakthroughs, new demands and differentiating needs with new developments emerge as new problems in the sector. As in every sector, logistics also carries several risks, and changes in the sector also lead to new risks. To cope with the negative effects of these risks, risk analyzes have great importance in terms of finding solutions to the problems experienced by the sector. In the literature, there are lots of risk analysis methods because of the difficulties and uncertainties in the analysis. In this study, it is the first time we propose a new risk analysis method for the logistic sector based on Fuzzy Best Worst Method (FBWM). The operational risks in the logistics sector have been defined as a result of the sector and literature review. The assessments on the determined risk were collected from three experts through a questionnaire. FBWM was used for weighting and prioritizing risks. Two different methods, Borda Count and Arithmetic Mean were used to aggregate expert opinions and compared. As a result of the study, it was revealed that internal risk factors were highlighted by experts for the logistic operations. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG

The activities of serum paraoxonase and arylesterase and lipid profile in acute myeloid leukemia: preliminary results

Cebi, Aysegul/0000-0003-3804-7966WOS: 000369540900020PubMed: 26698256OBJECTIVE: To investigate the activities of serum paraoxonase-1 (PON1) and arylesterase (ARE), and the lipid profile in newly diagnosed acute myeloid leukemia (AML) patients. PATIENTS AND METHODS: Thirty-two persons (16 of AML and 16 of healthy control) were included to the study. PON1 and ARE activities were measured as spectrophotometrically in serum samples. High density lipoprotein (HDL), low density lipoprotein (LDL), total cholesterol (TC), triglyceride (TG) were analyzed in autoanalyzer. RESULTS: PON1 activities were respectively 16.04 U/L and 18.6 U/L in AML and healthy controls. There was no statistical significance between groups (p > 0.05). The mean ARE activities were respectively 0.21 U/L and 0.36 U/L in AML and healthy controls. Serum ARE activity significantly decreased in AML group (p 0.05) between AML and controls. CONCLUSIONS: This is the first documented study about serum PON1 activity in AML patients. Although serum PON1 activities were not changed in both groups, our data suggest that the decreased serum ARE activity and HDL levels may be related the pathogenesis of AML

One thousand plant transcriptomes and the phylogenomics of green plants

Abstract: Green plants (Viridiplantae) include around 450,000–500,000 species1, 2 of great diversity and have important roles in terrestrial and aquatic ecosystems. Here, as part of the One Thousand Plant Transcriptomes Initiative, we sequenced the vegetative transcriptomes of 1,124 species that span the diversity of plants in a broad sense (Archaeplastida), including green plants (Viridiplantae), glaucophytes (Glaucophyta) and red algae (Rhodophyta). Our analysis provides a robust phylogenomic framework for examining the evolution of green plants. Most inferred species relationships are well supported across multiple species tree and supermatrix analyses, but discordance among plastid and nuclear gene trees at a few important nodes highlights the complexity of plant genome evolution, including polyploidy, periods of rapid speciation, and extinction. Incomplete sorting of ancestral variation, polyploidization and massive expansions of gene families punctuate the evolutionary history of green plants. Notably, we find that large expansions of gene families preceded the origins of green plants, land plants and vascular plants, whereas whole-genome duplications are inferred to have occurred repeatedly throughout the evolution of flowering plants and ferns. The increasing availability of high-quality plant genome sequences and advances in functional genomics are enabling research on genome evolution across the green tree of life