Identification of cervical metastatic lymph nodes (LN) on I-131 post-ablation whole-body planar scans (WBS) for cancer staging is crucial for patients with papillary thyroid cancer (PTC). The existing deep network is plagued by instability in finding the under-represented LN classes on highly complex WBS, where end-to-end tuned models that can account for this uncertainty region for multi-class locations are needed. Hence, as a key contribution of this study, we designed a novel leveraging segmentation network with input guidance (LSIG) end-to-end training model without pre and post-processing features that can learn ideal parameter settings depending on the quantity of multiple-object instances. To improve the co-occurrence of classes and control the false positive regions, we proposed a re-weighting negative control (RNC) mechanism that combines two key components, namely the re-weighting (Rw) term and the negative control function (NcF). This unified approximation of weighted training would leverage the network to control and learn the desired weights of true positives towards the LN region. As an end-to-end network training, we utilize a Unet-like convolution neural network (CNN) model. The performance of the LSIG is compared with the CNN-based networks, based on the ground truth (GT) mask developed using post-ablation single-photon emission computed tomography (SPECT/CT). Furthermore, the effectiveness of the two components used in the LSIG framework is evaluated on WBS datasets. Our proposed LSIG with a fully guided (Fg) LS-FgCNN model yielded a superior performance with high AUC value of 94.9%, which is 14.6% higher than the previous network for PTC.
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Galls formed by insects can act as sinks for nutrients and attract other herbivores to feed on gall tissues, which initiates interspecific competition, sometimes nurturing the herbivorous insects and restraining the gall-inducing insect, particularly when this competition is plant-mediated. Here, to our knowledge, we provide the first evidence of a close relationship between a gall insect, Hartigiola annulipes (Diptera: Cecidomyiidae), and a sap-sucking, Liothrips setinodis (Thysanoptera: Phlaeothripidae). The thrips were observed feeding on young H. annulipes galls, formed on the common beech (Fagus sylvatica) leaves during spring. Among randomly chosen beech trees, 100 current-year shoots were surveyed to determine the number of H. annulipes galls and the presence of thrips on the leaves. Our results show that L. setinodis specimens were found significantly more frequently on leaves infested by the galler than on uninfested leaves. The consequences of feeding thrips at the site of gall formation are not known yet, but it can be supposed that they are unfavourable to the gall insects and therefore could be beneficial for the host plant.
This paper introduces cloud manufacturing (CMfg) as a new manufacturing paradigm that joins the emerging technologies – such as the Internet of Things, cloud computing, and service-oriented technologies – for solving complex problems in manufacturing applications and performing large-scale collaborative manufacturing. Using scientific publications indexed in Scopus database during the period 2012–2017, the concept and fundamentals of CMfg are presented and discussed given the results of the most recent research. While focusing on the current state of the art, the recent research trends within CMfg concept were also identified. The review involved the methods of bibliometric analysis and network analysis. A prototype of CMfg and the existing related work conducted by various researchers are presented, and the map of co-occurrence is introduced to indicate the most commonly occurring issues related to the “cloud manufacturing” term. The VOSviewer software was used for this purpose. Finally, cloud-based manufacturing areas for further research are identified.
Temperatura jest jednym z najważniejszych czynników wpływających na ruchliwość nicieni owadobójczych (Steinernematidae, Heterorhabditidae) w glebie, na ich rozwój i zdolności reprodukcyjne. Na podstawie przeprowadzonych badań stwierdzono, że aktywność biologiczna nicieni Steinernema feltiae i Heterorhabditis megidis współwystępujących ze sobą w podłożu zmienia się w czasie w zależności od zastosowanej temperatury. W wyższych temperaturach - 20 i 25°C - testowane owady Galleria mellonella były częściej porażane przez S. feltiae niż przez ciepłolubne nicienie H. megidis, odpowiednio od 66 do 90%. Niższe temperatury (15°C) spowalniały, a nawet hamowały, jak w przypadku H. megidis, aktywność i rozwój obu gatunków nicieni. Wydaje się, że patogenność nicieni współwystępujących ze sobą w glebie może być również uzależniona od strategii żerowania poszczególnych gatunków pasożytów.
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Temperature is one of the most important factors influences nematode mobility, development and reproduction. On the basis of research it was found that the biological activity of co-occurrence nematodes Steinernema feltiae and Heterorhabditis megidis in the substratum was dependent on temperature and the time of conducted observations. In the higher temperature - 20 i 25°C - the baiting insects Galleria were most infected by S. feltiae than thermophilous H. megidis, respectively from 66 to 99%. The biological activity of both species was delimited at the lower temperature (15°C). It seem that pathogenicity of entomopathogenic nematodes co-occurrence in the soil can depend on foraging strategy each of parasitic species.
Przeprowadzono oznaczenie zawartości metali ciężkich: Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb i Zn w korzeniu pokrzywy zwyczajnej zebranej z terenu przemysłowego i rekreacyjnego. Zawartość metali ciężkich oznaczono we wszystkich próbkach oznaczono spektrofotometrycznie metodą AAS. Wykrywalność metody AAS wynosiła O, mg/g. Wykonano analizę specjacyjna gleby, dzięki której wyróżniono następujące formy metali: wymienną, zaadsorbowana, połączeń organicznych, węglanów, siarczków. Przeprowadzono badanie zależności współwystępowania metali w różnych elementach środowiska.
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Content of the following heavy metals: Cd, Co, Cr, Cu, Fe, Mn, Ni, Pb and Zn in the root of the Common Nettle was determined. The plant samples were collected from the industrial and recreation areas. The method applied was atomic absorption spectrometric (AAS) method with the detection limit equal O, lug/g. The speciation analysis was conducted and the following metal forms were single out: exchangeable, adsorbed, organic, carbonate and sulphide. Metals coexistence in various elements of environment was also analyzed.
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