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In this paper, through gavage of DDVP on broiler chickens and successful modeling,broilers will have ataxia and other neurological symptoms, brain tissue is the location of the important nerve center, and what kind of pathological changes occur in the cells of brain tissue, few studies have been involved. Therefore, this experiment used electron microscope to observe the microstructure of cells in brain tissue, providing intuitive data for the structural damage of nerve cells caused by dichlorvos. PCR arrays and Q-PCR were used to analyze the changes of DDVP expression of 74 genes related to AMPK signaling pathway in chicken brain tissue. The effect of dichlorvos poisoning on AMPK signaling pathway in brain tissue was explained from the persective of gene expression.
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Table S1 List of macro-benthic species returned to the study area, indicating their presence (+) in the three periods considered: Pre-Industrial (Pre-IND; 1850-1910); Industrial (IND; 1911-1991) and Post-Industrial (post-IND; 1992-current). Table S2. References list of the literature from which the species in the check-list have been documented in the studied area.
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The feasibility and efficacy of the v-NOTES approach for extremely obese patients with early-stage type 1 endometrial cancer was assessed through operating time, any conversion to conventional laparoscopy or laparotomy, any intra- or post-operative complication, estimated blood loss, pre- and post-operative hemoglobin levels, pain scores [derived using a visual analog scale (VAS)] at 6, 12, and 24 h postoperatively, length of hospital stay, and the final pathology.
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The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix “clip”), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
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The datasets are part of the study titled "A web-based Delphi multi-criteria group decision-making framework for renewable energy project development processes." The study aims to outline and implement the web-based Delphi Multi-criteria Group Decision Making (Delphi-MGDM) Framework, which is intended to facilitate top-level group decision-making for renewable energy project development and long-term strategic direction setting. The datasets include: (1) the weights of criteria obtained from judgments of the experts, (2) the summary of criteria scores, (3) the comparison table dataset, and (4) the full report of the Visual PROMETHEE. “Criteria Weighing Dataset” is obtained from the judgment of experts using the AHP-Online System created by Klaus D. Goepel (available at https://bpmsg.com/ahp/ahp.php). On a pairwise comparison basis, we asked the experts to make their opinion on four (4) criteria and then the sixteen (16) sub-criteria in three rounds. The group weights after the third round are considered the final weights of criteria and sub-criteria. To rank RES using MCDA, we used the data from the literature and the Philippines’ DOE for all ten quantitative sub-criteria. However, there are six qualitative sub-criteria, so we asked the opinion of experts on how solar, wind, biomass, and hydropower are performing in each criterion based on their knowledge and expertise. This time, we used a self-derived questionnaire and as a summary of this process, we produced the “Scoring of Options Dataset.” We got the average, minimum and maximum values of the scores to make data for the ranking in three cases (realistic, pessimistic, and optimistic). "Comparison table" dataset is composed of comparison tables for the three cases. Table A reflects the data for realistic case in which we use the averages of the qualitative inputs from experts, the averages of quantitative data obtained in ranges, and the actual value of data not given in ranges. Table B reflects the data for the optimistic case. For qualitative data, we used the minimum value of the sub-criteria to be minimized and maximum value for sub-criteria to maximized. For quantitative data in ranges, we used the minimum value of cost sub-criteria and maximum value of benefit sub-criteria. We estimated fictitious data for some quantitative data not given in ranges. Table C reflects the data for the pessimistic case. We used the same concept with Table B, but with opposite choices. For instance, we used the maximum value of cost sub-criteria and minimum value of benefit sub-criteria for quantitative data. Finally, we used Visual PROMETHEE (available at http://www.promethee-gaia.net/vpa.html) to rank renewable energy sources. The "Visual PROMETHEE Full Report" dataset is the actual report exported from the Visual PROMETHEE application – containing a partial and complete ranking of RES.
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Recently, with the continuous evolution of new technology the world has faced unusual growth of multimedia data especially in document images. Huge quantities of documents are created and used in many important official organizations. The stamps assure the authenticity of the documents contents. The general objective of this dataset is enabling researchers in the field of pattern recognition to analyze, detect, localize and recognize different types of stamps. The size of the dataset is 48.9 MB. It contains a total of 1557 color stamps samples which are stored as BMP image format. The images of stamps were acquired from documents using a scanner and mobile camera. The cropping process was applied to capture only the stamp area of the whole document, using three applications which are paint, snip and sketch software. For each cropped stamp, eight stamp images are produced from rotating the original one at different angles clockwise. Rotation starts from 5 degrees and increases by 5 degrees until it reaches to 40 degrees. Note the orientation of the original stamp image is with the horizon line, which means that it is at an angle of zero. The stamps have different size, shape, complexity, position, directions and colors. For example, there are six categories of stamp shapes arranged as circle, oval, square, rectangular, triangular and some other irregular shapes. Its worth to mention that the collected dataset may be degraded in quality and resolution and the stamp can be located on a relatively complex background. The dataset was collected from various sources, including official documents from Iraqi educational institutions, documents from syndicates such as teachers, engineers, doctors, pharmacists, Iraqi hospitals, provincial councils, and most Iraqi institutions. The dataset also contains some stamps from other Arab countries.
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X-ray diffraction and energy dispersion X-ray fluorescence data for cathode materials of Li-ion batteries. Samples named as Blend, Cath1, Cath2, Cath3.
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Determining how emotional experience influences attention is a long standing goal of cognitive psychologists. Emotion is often broken down into two main dimensions, arousal and valence. While many theories focus more on the influence of one dimension than the other, the systematic investigation of the independent influences of the two dimensions of emotion on attention has been slow in the coming. In order to examine the relevance of both aspects of emotion and their interplay on attention simultaneously, in the current experiment we induced low (satisfaction) and high (happiness) arousal positive emotions and low (sadness) and high (anger) arousal negative emotions in subjects before having them complete an inattentional blindness (IB) test. In line with theories that focus on the role of valence, we found that negative emotions led to more IB than did positive emotions, and that arousal did not influence attention. Data were from an extended version of the EMO 16 akt (Schmidt-Atzert & Hüppe, 1996), the Affect Grid (Russell, Weiss, & Mendelsohn, 1989), as well as an Inattentional Blindness task. The study comprised a one factorial design including the between-subjects factor “induced emotion” with the five levels happiness (positive valence, high arousal), satisfaction (positive valence, low arousal), neutral emotion (neutral valence, low arousal), sadness (negative valence, low arousal), and anger (negative valence, high arousal). The design can also be described as a 2 (valence: positive vs. negative) x 2 (arousal: high vs. low) design with an additional control group (neutral valence with low arousal). The dependent variables were detection rates of the critical stimuli in trial 3 (i.e., the critical trial) and trial 5 (divided attention trial). The extended EMO 16 akt as well as the Affect Grid were collected before emotion induction (_1), after emotion induction (_2), and after the inattentional blindness task (_3). The inattentional blindness task comprised six trials. The 3rd (critical trial, inattentional trial), 5th (divided attention trial), and 6th (full attention trial) included an unexpected stimulus.
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Figure S2 Size distribution of fragmented cDNAs
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The current modelling tool is part of the research by Angouria-Tsorochidou and Thomsen (2020) “The effect of the collection system on biowaste quality and a modelling framework to evaluate organic waste-derived fertilizers” Elisavet Angouria-Tsorochidou1, 2 and Marianne Thomsen1, 2*. The tool we present models the value of the digestate as potential organic fertilizer, measured by its nutrient content, and its quality, measured by its heavy metal content as a function of the ingestate characteristics and AD performance. We thus propose a simple model for pre-assessment of the digestate based on the ingestate quality. Additionally, we have created a database with 111 cases that includes biowaste quality data of i) source-separated organic fraction of municipal solid waste (SS-OFMSW) and ii) of mechanically separated organic fraction of municipal solid waste (MS-OFMSW) from mixed collected residual waste (Angouria-Tsorochidou, 2020/ DOI: 10.17632/3k5ks5w988.1). The database can be used as a source of quality data for the user to enter in the tool. 1 Research Group on Eco-Industrial System Analysis, Department of Environmental Science, Aarhus University, Frederiksborgvej 399, Postboks 358, DK-4000, Roskilde, Denmark 2 Aarhus University Centre for Circular Bioeconomy *Corresponding Author email: mth@envs.au.dk The research was performed as part of the Horizon 2020 project DECISIVE (Decentralised valorisation of biowaste) under grant agreement N° 689229. The Graduate School of Science and Technology at Aarhus University further supported this work. For feedback please contact Elisavet Angouria-Tsorochidou at elisavet.tsor@gmail.com
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