Types Of Spots Research Articles

Protective Roles of Xijiao Dihuang Tang on Coronary Artery Injury in Kawasaki Disease.

Xijiao Dihuang Tang (XJDHT) is a classical formula of traditional Chinese medicine constituted of Cornu Bubali, Rehmannia glutinosa (Gaertn.) DC., Paeonia lactiflora Pall., and Paeonia suffruticosa Andrews. It was first mentioned in the medical classic "Beiji Qianjin Yaofang" written by Simiao Sun in Tang Dynasty. It shows very strong antipyretic and anticoagulant effects and has been clinically applied to treat various type of blood loss, purple and black spots, heat stroke, and glossitis. Kawasaki disease (KD) is considered as a kind of acute febrile illness in children with systemic vasculitis as the main lesions. The aim of this research is to clarify whether XJDHT can play a protective role in KD. A mouse model of Candida albicans water-soluble fraction (CAWS)-induced coronary arteritis and a KD cell model with tumor necrosis factor (TNF)-α induction were employed to investigate the potential effect and mechanism of XJDHT on coronary artery injury in KD. Data showed that XJDHT remarkably alleviated the coronary artery injury of KD mice, as evidenced by reduced inflammation and downregulated expression of pro-inflammatory cytokines interleukin (IL)-1β and TNF-α. In vitro investigation showed that XJDHT could promote cell proliferation, inhibit cell apoptosis, and improve mitochondrial functions. Subsequent studies demonstrated that XJDHT rescued endothelial cell injury by PI3K/Akt-NFκB signaling pathway. Component analysis of XJDHT detected thirty-eight chemically active ingredients, including paeoniflorin, albiflorin, and paeoniflorigenone, which in in vitro experiments exhibited significant rescue effects on TNF-α-mediated endothelial cell injury. Our findings demonstrated that XJDHT mitigated coronary artery injury of KD through suppressing endothelial cell damage via PI3K/Akt-NFκB signaling.

Mechanistic Basis and Therapeutic Strategies in Immune Evasion in Cancer

One of the most popular types of skin cancer is acral lentiginous melanoma, which usually appears as an irregular, prominent growth on the palms of the hands, feet, or under the nails. In fact, the symptoms of this cancer, which is a prominent colored spot on the skin, slowly begin to appear. In the first stage, malignant cells remain inside the tissue for months or years. The lesion then acts aggressively and appears on the skin as it exits the epidermis. Experts say this type of melanoma can grow rapidly and penetrate deep into the skin. Unlike other skin cancers that occur due to overexposure to the sun, acral melanoma has nothing to do with it. In appearance, these types of cancer spots are more than 6 mm in size and can be brown, blue-gray, black or red. Early in the onset of the disease, the melanoma may have a smooth surface, but over time it becomes thicker and has a dry, uneven surface. Bleeding and sores on the cancerous spot are also possible in some cases. Now that we know that this type of cancer is not caused by the sun's rays, then what is the reason for its occurrence? Experts say our skin has natural pigments. However, melanoma linginosis develops when some malignant pigment cells begin to proliferate in the primary layers of the epidermis. Scientists do not yet know for sure why pigment cells become malignant, but it may be rooted in genetic mutations. When a doctor diagnoses skin cancer in a person, he or she removes the cancerous spots. This process can be more complicated depending on the size of the cancer cells. If the cancer has spread to the lymph nodes, the healing process will take longer. As with other cancers, early detection of skin cancer can speed up the healing process. Therefore, after seeing any spots or colored spots on the palms of your hands, feet or under your nails, see a specialist immediately. Keywords: Cancer; Cells; Tissues; Tumors; Prevention; Prognosis; Diagnosis; Imaging; Screening; Treatment; Management

Long-range two-hybrid-qubit gates mediated by a microwave cavity with red sidebands

Implementing two-qubit gates via strong coupling between quantum-dot qubits and a superconducting microwave cavity requires achieving coupling rates that are much faster than decoherence rates. Typically, this involves tuning the qubit either to a sweet spot, where it is relatively insensitive to charge noise, or to a point where it is resonant with the microwave cavity. Unfortunately, such operating points seldom coincide. Here, we theoretically investigate several schemes for performing gates between two quantum-dot hybrid qubits, mediated by a microwave cavity. The rich physics of the quantum dot hybrid qubit gives rise to two types of sweet spots, which can occur at operating points with strong charge dipole moments. Such strong interactions provide new opportunities for off-resonant gating, thereby removing one of the main obstacles for long-distance two-qubit gates. Our results suggest that the numerous tuning knobs of quantum dot hybrid qubits make them good candidates for strong coupling. In particular, we show that off-resonant red-sideband-mediated two-qubit gates can exhibit fidelities $>$95\% for realistic operating parameters, and we describe improvements that could potentially yield gate fidelities $>$99\%.

Active Learning from Oracle with Knowledge Blind Spot

Active learning traditionally assumes that an oracle is capable of providing labeling information for each query instance. This paper formulates a new research problem which allows an oracle admit that he/she is incapable of labeling some query instances or simply answer "I don't know the label." We define a unified objectivefunction to ensure that each query instance submitted to the oracleis the one mostly needed for labeling and the oracle should also hasthe knowledge to label. Experiments based on different types of knowledge blind spot (KBS) models demonstrate the effectiveness of theproposed design.

Diversity of white spot patterns in the eagle ray Aetobatus laticeps (Myliobatiformes: Aetobatidae) in the north Pacific coast of Costa Rica

Introduction: The Pacific white-spotted eagle ray Aetobatus laticeps, has recently separated from the Atlantic A. narinari based on both morphological and genetic evidence. This species is characterized by a dark body with numerous white spots all over its dorsal side. Considering the type, shape, number, and distribution of these natural markings as potential identifiers at the individual level, we studied the variation in the spot patterns.
 Objective: Describe and compare the white spot pattern (type and distribution) of individuals and evaluate their potential use as identifiers at the individual level.
 Methods: We analyzed 54 videos (105 subsequent extracted photos) and 19 photographic records that were taken at different sites along the Pacific coast of northern Costa Rica.
 Results: Seventeen distinctive types of white spots were identified across the entire dorsal side of the rays. Significant differences between each major body section (pectoral fins, back, head, and pelvic fins) were found in the type and frequency of white spots. The type ‘single spot’ was commonly distributed across the entire dorsal side, and the spot pattern on the pelvic fins was informative to identify 72 individuals.
 Conclusions: The analysis of the type, shape, and distribution of white spots in A. laticeps determined several combinations of white spot patterns that be used for further taxonomic description and provide potential identification of the individual for future population studies along with its distribution.

Observed Oscillating Anodic Plasma Plume Phenomena in High Current Vacuum Arcs

The impact of current density on the anode attachment characteristics of high current vacuum arcs was investigated using high-speed imaging techniques. The current density determines the occurrence of attachment transition into an anode spot type 2. Electrodes were made of Cu/Cr 50%/50%. In combination with the adequate amplitude of current, the anode spot type 2 was accompanied by first observed oscillating anodic plasma plumes by the higher current densities. Resulting electrode overheating processes, which depend on the instantaneous power delivered, determine the formation of a plasma region in front of the anode. Image processing indicates that this region interacts actively with the cathode, displacing the radiation intensity region, and influencing the behavior of its arc spots. In addition, increased high-frequency contents on the measured voltage signals accompanied the observed oscillations of the anodic plume. An explanation through a double-layer effect for the anode spot type 2 is proposed.

RESEARCH ON QUALITY CONTROL METHOD OF LAND COVER CLASSIFICATION DATA ORIENTED TO NATIONAL GEOGRAPHIC CONDITION MONITORING

Abstract. Aiming at the quality problems of the land cover classification data, such as missing update of changed spots, overrun of spot collection accuracy, incorrect spot classification, and inconsistencies between the filling of the change types of map spots and technical regulations, had been found during the quality inspection of the national geographic condition monitoring in China. This paper analyzed the key production factors, processes and causes that affect the process quality of the land cover classification data, and proposed the concept of the whole production quality control, and discussed the quality control measures to improve the land cover classification product. The research based on the new requirements of the whole-process quality control system in order to solve the quality problem-oriented production quality control method, could improve the quality of land cover classification product and provided reference for the quality control of the production process of related engineering projects in the future.

Assessing the local temperature of human cornea exposed to surface ablation by different laser refractive-surgery devices: a numerical comparative study.

To evaluate the local temperature at corneal tissue after applying single laser pulse from six commercial devices; Medilex™, Katana laser-soft, MEL90, Technolas-Teneo317, Alcon EX500, and PulzarTMZ1. The temperature distribution is simulated using finite element solution of the Penne's bio-heat transfer equation on a 3-D model of human cornea using the manufacturer's assigning parameters. The obtained results showed that the heating effect of Katana laser soft is 40% lower than MEL90 and Pulzar™ Z1, while the broad beam Medilex™ showed the minimum temperature rise especially at 248-nm laser radiation. The change in laser parameters selected for ablation has significant effect on the corneal local temperature. The broad beam-based device produces lower local corneal temperature than other flying spot types.

A deep learning approach for fast detection and classification of concrete damage

The detection and classification of concrete damage are essential for keeping the infrastructure in good condition which have become a focused area. It is worth noting that the inference speed and accuracy of object detection algorithms are the key issues in concrete damage detection tasks. This research has made the following contributions to solving these problems. Firstly, a concrete damage data set is prepared. The data set consists of 5000 images containing the types of crack, spot, rebar exposure and spalling damage. Secondly, the object detection algorithm is optimized by depthwise separable convolution, inverse residual network and linear bottleneck structure. The experimental results show that the inference speed of the improved object detection algorithm is 24.1% and 53.5% higher than that of the original network, respectively. Compared with the original YOLO-v3 and SSD object detection algorithms, the complete detection accuracy of the network reaches 64.81% and 64.12%, which increased by 3.25% and 4.04%, respectively.

The Middle Permian Maokou reservoir (southern Sichuan Basin, China): Controls on karst development and distribution

The Middle Permian Maokou limestone is a major natural gas producing reservoir in the southern Sichuan Basin, China. While matrix porosity is low, bit drops, losses while drilling, blowouts, and extremely high well testing flow rates indicate the presence of a dual permeability system in the form of paleocaves, which were formed by karstification in the late Maokouan Age. A combination of geological, paleogeomorphological and karstic analyses reveal that the development and distribution of the karst features within the reservoir are primarily regulated by shoal facies, paleotopography and syndepositional faults. In our conceptual paleogeomorphological model, the potential cave-bearing zones are located along the rim and outer edge of the Luzhou Paleohigh, which was the highland during the karst. Outside the highland were the karst slopes, and the poljes were on the flanks of the study area. Reservoir performance data suggest, there are two types of sweet spots in the study area. The first corresponds to the syndepositional fault zones along the rim of the karst highland and on the karst slope, where the caves appear to distribute along the faults, impacting the reservoir's vertical permeability. The second corresponds to the shoals of the Mao 2 and Mao 3 members on the lower western karst slope and the upper eastern karst slope, where the caves are widespread, enhancing the horizontal permeability and connectivity of the reservoir. However, the caves are rare in the central karst highland, lower karst slopes, and poljes, which is consistent with the limited gas discoveries.

Single Cell Trapping by Superhydrophobic/Superhydrophilic Microarrays

AbstractSingle cell trapping is demonstrated on superhydrophobic–superhydrophilic patterned microarrays. Superhydrophilic spots that are twice the size of the cells to be trapped are found to be optimal for obtaining single cell trapping. The single cell trapping is based on size exclusivity instead of heavy dilution of the cell suspension and relying on Poisson statistics. The superhydrophobic areas of the array are found to be very resistant toward unwanted adhesion of the cells and thus cleaning steps are not needed after deposition. Based on these properties, 20 μm superhydrophilic spots are utilized for trapping two types of immune cells, primary peripheral blood mononuclear cells (PBMCs) and THP‐1 cells. The cells are trapped from a 10 μl cell suspension droplet dragged across the surface with different velocities. Single cell trapping efficiencies in the range of 10–30% are shown based on the cell type, the spot type, the seeding velocity and the cell suspension concentration.

Diffusion-induced regular and chaotic patterns in a ratio-dependent predator-prey model with fear factor and prey refuge.

Population distribution of interacting species in a large scale natural system is heterogeneous and subject to change for various reasons. Here, we explore how behavioral modification in prey species due to fear of predator and mutual interference between predators can create different spatiotemporal patterns in population distribution. We show that the fear factor and diffusion in a ratio-dependent predator-prey model may show more complex dynamics than observed earlier. It is shown that when prey diffusivity is low, prey remains concentrated at different patches throughout the domain. However, prey density becomes low at the patches as they disperse at a higher rate. Mixed and stripe patterns are observed during the transition from a hot spot pattern at the lower prey diffusivity to a cold spot pattern at its higher value. Pattern transition is, however, completely opposite if the antipredator behavior is gradually increased. Our simulation results reveal that the spatiotemporal chaotic pattern may also be observed in the Hopf-Turing region of instability provided prey shows a higher level of antipredator behavior. The chaotic pattern of the Hopf-Turing region may be shifted to a spot type pattern of the Turing region depending on the refuge level of the habitat.

Spatial distribution characteristics and types of salt-affected soils spots developed on alluvial fan complex over old marine sediment, Thailand

Spatial distribution characteristics and types of salt-affected soils spots developed on alluvial fan complex over old marine sediment, Thailand

Discussion on the Integration and Optimization Plan of Natural Reserve-Take Gannan Tibetan Autonomous Prefecture as an example

The integration and optimization of nature reserves is an important part of the new round of land and space planning, and it is also an important part of building a system of nature reserves with national parks as the main body. This article takes Gannan Tibetan Autonomous Prefecture, which has many nature reserves and relatively complex conditions as an example, to summarize and study the technical and operational issues involved in the integration and optimization of 30 different types of nature reserves, natural parks and scenic spots in the region. We propose an integration and optimization plan that fits the region, focusing on the treatment of the overlapping and distributed residential land, basic farmland, and major construction projects of each protected area, and provide reasonable suggestions for the integration and optimization of the construction of natural reserves with Chinese characteristics.

Comparison of the planting success and risks of pine weevil damage on mineral soil and drained peatland sites three years after planting

Over 20% of regeneration operations will be on drained peatland in the next decade in Finland. There are only a few studies comparing the planting success and the risk of pine weevil ( (L.) feeding damage on mineral soil and drained peatland. Thirty sites planted with Norway spruce ( (L.) H. Karst.) container seedlings in 2009 in Southern and Central Finland were inventoried three growing seasons after planting. Prediction models for the probability of survival, pine weevil damage and the presence of ground vegetation cover were done separately for peatland and mineral soil sites. The planting success was 17% lower on peatland sites (1379 surviving seedlings ha) than on mineral soil (1654 seedlings ha). The factors explaining the survival were the ground vegetation cover and type of the planting spot on the peatland, and the ground vegetation cover on mineral soil. On mineral soil, 76% of the planting spots were on cultivated mineral soil while on peatland only 28% of the seedlings were planted on similar spots. There were also fewer seedlings that were surrounded by dense ground vegetation on mineral soil (4%) than on peatland (14%). Pine weevil feeding damage did not differ significantly on peatland (23%) or mineral soil (18%). The more time there was from clear-cutting, the more the probability of pine weevil feeding damage was reduced on both soil classes. Additionally, cover vegetation in the vicinity of the seedlings increased on mineral soil. Cultivated planting spots, especially those covered by mineral soil, prevented pine weevil feeding and reduced the harmful effects of vegetation on the seedlings both on mineral soil and peatland.Hylobius abetisPicea abies–1–1

Фитосанитарное состояние посевов ячменя озимого в Краснодарском крае и Республике Адыгея в предуборочный период

Phytosanitary monitoring is the most important element of integrated plant protection. It is used to identify the state of crops, the spread of diseases, the degree of their damage, and also to plan the protective measures. The aim of the research was to assess the development of the most dangerous diseases on winter barley crops in the Krasnodar Krai and the Republic of Adygea (alternate spelling: Adygeya) in the pre-harvest period in 2017–2019 (late May-beginning of June, late milk-early dough stage of development (Z 70-75)). The analysis of the three-year dynamics of pathogens development on winter barley was carried out. The obtained data were compared with the agro-climatic conditions of the growing seasons. Phytosanitary and agroecological observations were carried out according to generally accepted methods and techniques. In the agricultural season 2016–2017, the weather in autumn was warm; winter was mild and snowless; spring was early with an unstable temperature regime and significant lack of precipitation. Warm and dry autumn, snowless winter with long thaws, spring with temperature changes were observed during the growing season of 2017–2018. Autumn in the 2018–2019 vegetative season was cool. Winter was mild and snowless. Sharp changes in air temperature were observed in spring. There was a shortage of precipitation, however, heavy precipitation was noted later. Spot blotch of barley (Cochliobolus sativus (S. Ito & Kuribayashi) Drechs.), barley net blotch (Pyrenophora teres Drechsler.), powdery mildew of barley (Blumeria graminis (DC.) Speer) and leaf rust of barley (Puccinia hordei G. H. Otth.) were detected in the pathogenic complex of the crop. Different types of leaf spots of barley dominated among the detected plant diseases. Intensive development of spot blotch was observed on winter barley crops in Kurganinsky (47.9 %), Dinsky (30.0 %), Novokubansky (28.3 %) and Vyselkovsky (26.3 %) districts, as well as in the Maykop district of the Republic of Adygea (28.3 %). Significant development of barley net blotch was recorded in Kushchevsky (33.5 %), Dinsky (30.8 %) and Novokubansky (29.2 %) districts. The level of powdery mildew development was low (up to 1 %) in all regions. Just a few cases of leaf rust of barley during three years of research were noted. The results of phytosanitary monitoring are presented in the form of electronic maps of the spread of winter barley diseases in the regions of the Krasnodar Krai and the Republic of Adygea.

Hybrid Decision Support System Framework for Leaf Image Analysis to Improve Crop Productivity

Crop disease is one of the major problems with agriculture in India. Identifying the disease and classifying the type of disease is most important which can be made possible using the deep learning technique. To perform this verified dataset is required which consists of healthy and disease leaf images of all crops. The proposed model uses a hybrid approach which integrates VGG16 classifier with an attention mechanism, transfer learning approach and dropout operation. The proposed model uses a rice disease dataset and using the proposed approach it achieves an train accuracy of 96.45 percent and train loss 0.09 and validation loss of 0.44. The dataset is collected from the plant village project for rice leaf which consists of 4955 images which include Brown Spot, Healthy, Hipsa, and Leaf Blast type of images. The proposed model use attention mechanism that focuses mainly on the part of the image rather than the whole part of the image using a glimpse ratio of 3:1. The traditional method of detecting crop diseases needs high experience and knowledge of experts in the field which is time consuming, ineffective, and high cost. In this study, Deep Convolutional Neural Networks (DCNN) and Transfer Learning with Attention models are used to detect diseases associated with rice plants without overfitting the model.

FUNGI ASSOCIATED WITH LEAF SPOTS OF SUGAR CANE (Saccharum officinarum L)

Survey for fungi associated with leaf spots of sugarcane in Chittoor and Nellore districts of Andhra Pradesh during 1986-87 revealed that 26 species of fungi belonging to 10 genera were found associated with leaf spots of sugarcane. The leaf spots found were minor ones and their incidence was meagre ranging from 1 to 3 per cent in both the districts. In common, the incidence was more in ratoon crop and also in the plant crop aged more than 6 months. The different types of minor leaf spots found on sugar­cane in the 2 districts of Chittoor and Nellore were des­cribed as : Spindle-shaped spots; dark brown linear blotches; reddish brown spindles; reddish brown lesions; Phyllachora leaf stripes; dark brown elongated lesions; dark purple streaks; dark purple midrib streaks; dark red linear lesions and dark red midribs. The morphology and taxonomy of the fungi isolated from the leaf spots were studied and the fungi were identified as belonging to 26 species classifiable into 10 genera

Simulation of the super-Gauss beam abrupt focusing in the near diffraction zone using high-performance computer systems

We investigated the change in the type of focal spot when laser radiation passed through the diffraction axicon and the optical element matched with the circular Airy distribution having abrupt focusing properties. Modelling of near zone diffraction is numerically investigated by the finite difference time domain (FDTD) method. The abrupt formation of a light needle was shown for the optical element matched with the circular Airy distribution and for axicon.

Jual Beli Valuta Asing dalam Ekonomi Islam

Foreign exchange market (Forex) is a transaction under the scope of Islamic economic studies. It is lawfully allowed as long as not violating shariah principles. This is valid particularly for the spot type because it fulfills the requirement of yadan bi yadin, namely cash transaction with the same value. As for the forward, swap and opsi types are considered unlawful as they contain random speculation (gharar) unsure. However, some Islamic scholars allow the forward when aiming to fulfill the need instead of speculation purpose, such as protecting hedging in anticipating the risk of foreign currency fluctuation used as international payment instrument.