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Accurate quantification of human adenovirus DNA in the peripheral blood plays a critical role in the management of adenovirus infections in transplant recipients. Many laboratories utilize in-house laboratory-based PCR assays for the quantification of human adenovirus, as there are few commercial options available.

Background Symptomatic intracerebral hemorrhage (sICH) is a severe complication of mechanical thrombectomy (MT). This study is to identify predictive factors and create a nomogram to evaluate the risk of sICH after MT treatment. Methods We conducted a retrospective analysis on 127 consecutive stroke patients treated by MT therapy. We evaluated multiple predictive factors for the incidence of sICH using univariate and multivariate logistic regressions. Based on the identified and other possible factors, a nomogram was constructed to predict the risk of sICH. Results We identified several predictive factors for sICH in the univariate analysis, including thrombectomy maneuvers >3 (odds ratio [OR], 4.42; 95% confidence interval [CI], 1.25–15.6; P = 0.0211), admission blood glucose (OR, 1.29; 95% CI, 1.13–1.48; P = 0.0002), diabetes mellitus (OR, 4.44; 95% CI, 1.64–12.0; P = 0.0033), and admission National Institutes of Health Stroke Scale (NIHSS) score (OR, 1.05; 95% CI, 1.01–1.10; P = 0.0263). The multivariate analysis showed that admission NIHSS score and blood glucose significantly affected the prognosis. Moreover, the proposed nomogram showed reliable identification ability with an area under the curve of 0.82 (95% CI, 0.71–0.93), specificity of 0.745, sensitivity of 0.762, accuracy of 0.748, and negative predictive value of 0.941. Conclusions Our study identified the admission NIHSS score and admission blood glucose level as predictive factors for sICH. Moreover, the proposed nomogram based on possible factors showed reliable predictive performance in evaluating the risk of sICH.

Gastrointestinal tract is important for digestion, absorption, detoxification and immunity. Gastrointestinal diseases are mainly caused by the imbalance of protective and attacking factors in gastrointestinal mucosa, which can seriously harm human health. Phospholipase A

During a competition, eSports players will experience many emotions due to the situation in the game. The generation of emotions will affect the performance of the players in the game. By monitoring players’ facial emotions and the game process, we can understand the cause of these emotions. Therefore, we propose to construct a gaming facial emotion recognition model to identify the emotions of players. The model was trained by DenseNet through transfer learning. Open Data Videos were applied as the data source. Images of facial expressions were extracted from these videos and classified into a data set for training and testing. The training and testing result indicate a room for improvement in accuracy. The future goal will be to develop an eSports player training system that would be able to understand the emotional states of players by analyzing the facial expressions that occur in a gaming video. This research will help the coach to provide advice and assistance in the training of the players, and help players find their suitable role in a game to improve their collaboration with team mates; overall, it will provide a well formed training system for eSports players.

Frequent Itemset mining is time consuming for large datasets. Many parallel frequent itemset mining algorithms have been proposed to speed up the mining process. This paper presents a parallel frequent itemset mining algorithm on a cluster of personal computers. To facilitate parallel frequent itemset mining, we use prefix path based method to decompose a transactional dataset into its frequent 1-itemset sub-datasets. We called the parallel frequent itemset mining algorithm based on the frequent 1-itemset sub-dataset decomposition the single-level parallel frequent itemset mining algorithm (SLPFIM) in our PC cluster platform. To mitigate the bottleneck caused by time-consuming 1-itemset sub-datasets, we propose a multi-level parallel frequent itemset mining (MLPFIM) algorithm to further decompose the time-consuming 1-itemset sub-datasets into their corresponding sub-sub-datasets. The fine granule of the sub-sub-datasets enhances the load balancing in parallel frequent itemset mining. The experimental results showed that the SLPFIM offered a maximum of 11.9x speedup over the non-parallel execution of the FP-Growth algorithm while the MLPFIM achieved a maximum of 23.1x speedup over the non-parallel execution of the FP-Growth algorithm. The experimental results also showed that the MLPFIM offered a maximum of 2.14x speedup over the SLPFIM.

Inflammation plays a significant role in the development of obesity-related complications, but the molecular events that initiate and propagate such inflammation remain unclear. Here, we report that mice fed a high-fat diet (HFD) for as little as 1–3 days show increased differentiation of myeloid progenitors into neutrophils and monocytes but reduced B lymphocyte production in the bone marrow. Levels of neutrophil elastase (NE) and the nuclear factors CCAAT/enhancer-binding protein α (C/EBPα) and growth factor-independent 1 (GFI-1) are elevated in hematopoietic stem and progenitor cells from HFD-fed mice, but mice lacking either NE or C/EBPα are resistant to HFD-induced myelopoiesis. NE deletion increases expression of the inhibitory isoform of p30 C/EBPα, impairs the transcriptional activity of p42 C/EBPα, and reduces expression of the C/EBPα target gene GFI-1 in hematopoietic stem and progenitor cells, suggesting a mechanism by which NE regulates myelopoiesis. Furthermore, NE deletion prevents HFD-induced vascular leakage. Thus, HFD feeding rapidly activates bone marrow myelopoiesis through the NE-dependent C/EBPα-GFI-1 pathway preceding vascular damage and systemic inflammation.

This paper examines the corrosion resistance of high-speed steel (HSS) substrates subjected to plasma-nitriding (PN) before being coated with CrN (in a single layer) or CrN/Cr2O3 (in multiple layers). Low-temperature (∼300 °C) nitriding treatment was applied for various durations (1 h, 3 h, and 5 h) with the aim of maximizing the adhesion strength and corrosion resistance of the HSS substrate. The multilayer coatings were applied in various thickness ratios of CrN vs Cr2O3 using high-power impulse magnetron sputtering (HiPIMS). The purpose of this study was to investigate the influence of plasma nitriding and Cr-based coating layers on the microstructural characteristics as well as the adhesion and corrosion characteristics. Specimens that underwent PN treatment for 5 h presented Lc1 and Lc2 values of 40.2 N and 78.9 N, respectively. The adhesion strength of the CrN/Cr2O3 multilayer coated PN-HSS substrate (PN-5h) (Lc 1 = 93.8 N) greatly exceeded that of the CrN-coated specimens. These results demonstrate that plasma nitriding and the modulation period strongly affect the adhesion strength between Cr-based coatings and the underlying HSS substrate. Corrosion resistance was characterized in terms of corrosion current, as follows: CrN/Cr2O3 multilayer > CrN layer > base-HSS. These findings also demonstrate that the application of a CrN/Cr2O3 multilayer coating can greatly enhance the corrosion resistance of HSS.

Traditionally, previous studies computed the click-through rate (CTR) to estimate a number of people who reviewed the advertisements placed online or used a self-report indicator to measure the effectiveness. However, these research results couldn't reveal potential customers for lack of valid common view on Internet advertising. This study recruited 65 participants whose eye movements were tracked and recorded by the eye tracking system, of which 35 were assigned to Facebook friend group and the other 30 were assigned to non-Facebook friend group according to the interpersonal relationships with the researcher. Eye tracking measurements, including total fixation duration (TFD) and latency of first (LFF) on the defined regions of interest (ROIs) of Facebook page were compared to indicate their visual attentions. The experimental results showed that 1) participants of the two groups spent less time viewing the ads at the right hand side (RHS) of Facebook based on TFD and 2) participants of non-Facebook friend group spent much time than participants of Facebook friend group while viewing the ads in the desktop news feed (DNF) of Facebook based on TFD. 3) Participants of the two groups have the same sequences of viewing ROIs placed ads at the right hand side (RHS). 4) Participants of the two groups have different sequences of viewing ROIs placed ads in the desktop news feed (DNF).

Genetic diversity and relationship of Lycoris species were investigated using SCoT marker analysis. Of 57 SCoT primers screened, 23 SCoT primers were identified to be high polymorphism. A total of 154 DNA bands with size varied from 0.2 kb to 2.5 kb were amplified, and 131 (82.5%) of them were polymorphic. The average number of polymorphic DNA band per primer was 5.7. Based on Nei's similarity coefficients and genetic distances, total of 43 accessions from 14 species of the genus Lycoris tested were clustered into four groups. Group I consisting of 17 accessions was further divided into two subgroup (Ia and Ib). Subgroup Ia included four species with red flower and 22 (2n) chromosomes. Subgroup Ib contained Lycoris haywardii and Lycoris albiflora which were natural hybrids with oyster white flower. Group II consisted of three species with yellow flower and 16 (2n) chromosomes. Group III was composed of Lycoris Squamigera, Lycoris incarnata and all of hybrids whose flower color was variegated. Group IV only has one species (Lycoris sprengeri) whose petal was a mixture of pink and blue. Notably, the polymorphism generated by SCoT was associated with flower color and chromosome number in this genus plants. The present data provide high-valued information for the management of germplasm, genetic improvement, and conservation of the genetic resources of Lycoris species, important horticulture and medical plants.

CDP138 is a calcium- and lipid-binding protein that is involved in membrane trafficking. Here, we report that mice without CDP138 develop obesity under normal chow diet (NCD) or high-fat diet (HFD) conditions. CDP138-/- mice have lower energy expenditure, oxygen consumption, and body temperature than wild-type (WT) mice. CDP138 is exclusively expressed in adrenal medulla and is colocalized with tyrosine hydroxylase (TH), a marker of sympathetic nervous terminals, in the inguinal fat. Compared with WT controls, CDP138-/- mice had altered catecholamine levels in circulation, adrenal gland, and inguinal fat. Adrenergic signaling on cyclic AMP (cAMP) formation and hormone-sensitive lipase (HSL) phosphorylation induced by cold challenge but not by an exogenous β3 adrenoceptor against CL316243 were decreased in adipose tissues of CDP138-/- mice. Cold-induced beige fat browning, fatty acid oxidation, thermogenesis, and related gene expression were reduced in CDP138-/- mice. CDP138-/- mice are also prone to HFD-induced insulin resistance, as assessed by Akt phosphorylation and glucose transport in skeletal muscles. Our data indicate that CDP138 is a regulator of stress response and plays a significant role in adipose tissue browning, energy balance, and insulin sensitivity through regulating catecholamine secretion from the sympathetic nervous terminals and adrenal gland.

High-power impulse magnetron sputtering (HiPIMS) is a physical vapor deposition technique, developed specifically for the low-temperature deposition of functional thin films. In this study, a graphite target was used for the deposition of diamond-like carbon (DLC) thin films of high optical transmittance on a quartz glass substrate at 25 °C – 30 °C using HiPIMS in unipolar and bipolar modes. Experiments were conducted to determine the influence of DC input power, deposition time, and bias voltage with a fixed duty cycle on the optical characteristics of the resulting amorphous DLC thin films. During deposition, the current-voltage characteristics of discharge with a graphite target were recorded. The optical characteristics were assessed using a UV/visible light-absorption detector and the structure of the DLC thin films was confirmed by Raman spectroscopy. DLC thin films produced in unipolar mode with deposition time of 1 min presented the highest best transmittance of 86%.

Background: Hepatitis B virus (HBV) causes both acute and chronic liver injury. Viral proteins are involved in the pathological progress. Hepatitis B core antigen (HBcAg), a component of viral nucleocapsid, is not only essential for HBV lifecycle, but also exhibits strong immunogenicity. The cytoplasmic location of HBcAg in liver biopsy is associated with liver injury and inflammation, but the exact mechanisms remain to be elaborated. Methods: Huh7, SMMC-7721 and L-02 cells were transfected with pEGFP-N1-HBcAg to establish an intracellular HBcAg expression model. The mRNA and protein levels of Interleukin (IL)-6 were detected by qPCR and ELISA respectively. The signaling pathway-related proteins were investigated by western blot and immunofluorescence assay. Results: HBcAg increased the expression and secretion of IL-6 through activating extracellular signal-related kinase (ERK), p38 mitogen-activated protein kinase (p38 MAPK) and nuclear factor-kappa B (NF-κB). These activations can be blocked by specific inhibitors of the three pathways. Conclusions: HBcAg actives p38, ERK1/2 and NF-κB to enhance the production of IL-6 in hepatocytes. This provides a molecular mechanism to explain the association of cytoplasmic HBcAg with severe liver injury and inflammation.

As we know, social platform has been very popular for many years, such as Facebook, Twitter, Youtube and so on. User on social platform may retrieve lots of information (breaking news, comments, sharing article…). Those information lead user to learn as their new knowledge, it’s one kind of social learning. Otherwise, the popularity of portable devices (cell phone, Tablet) also help user to access internet and social platform in anytime and anywhere, user can get knowledge from social platform. In this paper, we conduct an experiment to compare the students learning on Elgg social platform on portable devices and the students learning in traditional methods. The results show us the students learning with social learning environment have better learning efficiency.

Isoetes sinensis is a critically endangered aquatic quillwort, occurring in two fragmented sites of China (Xiuning county of Anhui; Jiande county of Zhejiang). During a five-year period (2004–2009), the areas and sizes of the two populations diminished dramatically due to intensive human activities. Genetic structure of the species was investigated using simple sequence repeat makers (SSRs). For seven nuclear microsatellites, high levels of genetic diversity were found within populations ( H E = 0.324–0.447). Strong genetic differentiation was detected between populations ( G ST = 0.376), while weak genetic differentiation was found within populations ( G ST = 0.026–0.080). Notably, in contrast to the source–sink model suggested by previous study ( Chen et al., 2009 ), the migration pattern of I. sinensis along the Xin’an River is best explained by the linear symmetrical non-adjacent flow model (LSNF), which indicates that intensive human activities of recent years have greatly affected the gene exchange pattern among I. sinensis subpopulations.

Two-dimensional liquid chromatography (2D-LC) is an attractive option for proteome profiling because of its advantages in separation and analysis of proteins and peptides of extreme pH and molecular weight. Proteomics, regarded as a promising and high-throughput method for discovery of new active natural products, calls for technical progress in comprehensive separation, especially for peptides, glycoproteins, and hydrophobic proteins, etc. Here, an optimized off-line IEX-RP LC system has been used for separation of all the components of the venom of the five-pace snake (Agkistrodon acutus). Seventy-nine different natural venom components were obtained by use of this system, more than were obtained by two dimensional electrophoresis of the venom. An automated on-line IEX-RP LC system was also developed for heart-cut separation of components of interest. As a result, we discovered a new tripeptide (PGlu-Asn-Trp, MW 429.1) in the venom. This emphasizes the role of 2D-LC in drug discovery.

Due to the prevalence of big datasets, the existing frequent itemset mining algorithms are not adequate. In this paper, we propose a new algorithm for parallel frequent itemset mining on a multi-core computer system. We propose to use LINQ queries to divide a transaction database into a set of independent sub-datasets, called the conditional pattern collections. Subsequently, the threads of a multi-core computer system mine the conditional pattern collections concurrently by using an existing implementation of a frequent itemset mining algorithm. The experimental results showed that the proposed algorithm offered 2x speedup and 4x speedup, for a fast implementation of eclat and a fast implementation of FP-growth, respectively, on a personal computer system with a quad-core Intel i7 CPU.

Just in a few decades, the rapidly developed wireless networks and the intelligent information systems popularity had so dramatically changed our daily lives. From the view of the ubiquitous computing, which context and ambient awareness [5]respected omnipresent computing allow users to receive the location corresponded and suitable information at any time in anywhere through portable computing device[6], combined with varieties of mature wireless communication technology, that also provide a novel Edutainment model for users. In this thesis, we try to establish a diverse and high scalability of the ubiquitous navigation and learning environment, comply nowadays ubiquitous services with Petri net, that enrich human-computer interaction, and makes ours leisure activities more diversify and adaptive.[4][7] From researchers' studies we found that the task-based navigation mode hint one's self-challenge, via the internal interaction model of the task that aspired users' imagination, curiosity and joy, as well as through immediate reward feedback mechanism, competitive and adventure elements, which also passionate users are willing to concentrate their effort tasks. Thus, by introducing the task elements will be much benefit in leisure and learning navigation field.

Since the ubiquitous computing was proposed and developed for many years and the matured develop of location based research, personal user information and e-travel, our research provides a personal and useful tour guide mechanism and adaptive learning content when user traveling in anywhere they interesting. This research hopes user not only have fun during tour but also provides several knowledge they may interests about the tour places. This research extends former experiences on the development of location based research, and integrate the Petri Net methods to produce the task based procedure during the travel for user, we called it MOPN (Mission oriented Petri-Net)Besides, this research also proposes a user portfolio synchronize mechanism to provide user more adaptive and personal content based on former user background and using experience. With the results of this research, most user indicated that they have more fun with proposed system during the travel and also got lots of useful knowledge from the mission.

A wedge shape Si LED is designed and fabricated with 0.35 μm double-grating standard CMOS technology. The device structure is based on the N-well-P+ junction. The P+ has a wedge shape and is surrounded by the N-well. The micrographs of Si LEDs’ emitting and layout are captured. The I–V characteristic and spectra of the Si LED are tested. Under room temperature and backward bias, its radiant luminosity is 12 nW at 100 mA, and the wavelength of the emitting peak is located at 764 nm.

As we know, color, one of important features for composing images, can affect people on emotional level. Photographers and designers can enhance desired color in their work to convey feeling, especially in wedding pictures. In this paper, affective color transfer is proposed; we focus on implementing color transfer in wedding pictures to make overall color theme of input image be similar with reference image. The proposed skin color preserving phase prevents skin color from over-modification in original color transfer. Furthermore, we attach importance about the harmony of output image, combing both the opacity of input and output image in color transfer to reduce visual distortion. Another mechanism is affective analysis in images. First, we define affective classes and then extract affective colors in the image to classify the affective class. By using saliency map, we extracted the affective color in the image exactly. Finally, experiment results of affective analysis and affective color transfer have confirmed the effectiveness of our proposed method.

People like to attend exhibition activities, but hard to enter into the information effectively. We build new system with wireless internet and mobile device to guide visitor into the core information initiatively and effectively. The mobile guide system could classify visitor base on exhibition information and personal information that provide more suitable for users. Our system combined with semantic web technology to connect items data which users' markup the type or property information in our system to created human portfolio. Our system is in compliance with human portfolio and metadata method to provide user information automatically and appropriately.

The 3D virtual reality is a very popular research area over the last decade. The 3D products are proposed in video game industries. But most of the 3D products or researches didni¦t use the real images or videos to generate, so we proposed a method to adopt the real 2D images to render 3D-liked vision. Our goal is to show the object like Google Map, we can rotate the object we load and according to the angle to show the corresponding object. The main idea is shooting a human at multi-angle, then we observe the regular pattern of human and analyze the motion of human. Finaly, infer a rule for the relationship between the change of viewpoint.

With the population of networking infrastructure in home area, we can realize Smart Home nowadays. Automation, zero-configuration and easy to use are the major requirements of Smart Home. In this paper, we propose a design of an integrated framework to realize Ubiquitous Smart home control. In our proposed architecture, home users indicate home device, for example, DVD player etc., in the real-time video from home camera. The control panel of the indicated device will be delivered to user devices and home user can control the device by the on-demand control panel. The main contribution of our work is to make Smart Home Control easily. Home user can ignore the device allocation of Smart Home and follow on the strategy i§ what you seen what you can usei¨.

Nowadays, the explosion of information is a majorsource of trouble for web searchers. Utilizing better and betterpage ranking mechanisms, web search engines do their best topresent information as relevant to usersi¦ queries as possible. Generally speaking, web search engines return lists of webpages related to query criterion as results. However, for endusers, this may not fit his/her expectations. It is highlypossible that a i§groupi¨ of web pages are needed to satisfy auseri¦s need in one searching session. As a result, we proposea relation-oriented web querying technology. Instead ofperforming query on the basis of standalone pages, wepropose to perform query on the basis of groups of relatedpages. Besides, we would like to take advantage from crowdintelligence to improve search efficiency. The concept and theguideline of implementation are presented in this paper.

The major purpose of this paper is to develop a Web-based E-learning Platform for physical education. The Platform provides sports related courseware which includes physical motions, exercise rules and first-aid treatment. The courseware is represented using digital multimedia materials which include video, 2D animation and 3D virtual reality. Courseware within digital multimedia materials not only can increase the learning efficient but also inspires students’ strong interest in learning, especially in the area of Physical Education. The design concept of our project is based on ADDIE model with the five basic phases of analysis, design, development, implementation, and evaluation. Via the usage of this Web-based E-learning platform, user can learn the relative knowledge about sports at anytime and in everyplace. We hope to let players perform efficient self learning for sports skills, indirectly foster mutual help, cooperation, nice norms of law-abiding via the learning of exercise rules, and become skilled at accurate recreation knowledge and first-aid expertise. Moreover, coaches can use the system as a teaching facility to mitigate loading on teaching.

The major purpose of this paper is to establish a Sports E-learning Platform in order to provide athletic related teaching materials, such as physical motions and exercise rules. The platform can integrate the Multimedia teaching materials which include video and 2D animation. Multimedia contents of teaching material not only increase the learning efficient but also the interesting of learning, especially in the area of Physical Education. The design concept of our works is based on ADDIE model of ISD (Instruction System Design) theory with the purposes of analysis, design, development, implementation, & evaluation. Via the usage of this physical education E-learning platform, we hope to let players perform efficient self learning for sports skills, indirectly foster mutual help, cooperation, nice norms of law-abiding via the learning of athletic rules, and become skilled at accurate recreation knowledge & first aid expertise. Moreover, coaches can use this system as a teaching facility.