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Anomaly detection is a critical task in applications like preventing financial fraud, system malfunctions, and cybersecurity attacks. While previous research has offered a plethora of anomaly detection algorithms, effective anomaly detection remains challenging for users due to the tedious manual tuning process. Currently, model developers must determine which of these numerous algorithms is best suited for their particular domain and then must tune many parameters by hand to make the chosen algorithm perform well. This demonstration showcases AutoOD, the first unsupervised self-tuning anomaly detection system which frees users from this tedious manual tuning process. AutoOD outperforms the best un-supervised anomaly detection methods it deploys, with its performance similar to those of supervised anomaly classification models, yet without requiring ground truth labels. Our easy-to-use visual interface allows users to gain insights into AutoOD's self-tuning process and explore the underlying patterns within their datasets.

Cutting-edge machine learning techniques often require millions of labeled data objects to train a robust model. Because relying on humans to supply such a huge number of labels is rarely practical, automated methods for label generation are needed. Unfortunately, critical challenges in auto-labeling remain unsolved, including the following research questions: (1) which objects to ask humans to label, (2) how to automatically propagate labels to other objects, and (3) when to stop labeling. These three questions are not only each challenging in their own right, but they also correspond to tightly interdependent problems. Yet existing techniques provide at best isolated solutions to a subset of these challenges. In this work, we propose the first approach, called LANCET, that successfully addresses all three challenges in an integrated framework. LANCET is based on a theoretical foundation characterizing the properties that the labeled dataset must satisfy to train an effective prediction model, namely the Covariate-shift and the Continuity conditions. First, guided by the Covariate-shift condition, LANCET maps raw input data into a semantic feature space, where an unlabeled object is expected to share the same label with its near-by labeled neighbor. Next, guided by the Continuity condition, LANCET selects objects for labeling, aiming to ensure that unlabeled objects always have some sufficiently close labeled neighbors. These two strategies jointly maximize the accuracy of the automatically produced labels and the prediction accuracy of the machine learning models trained on these labels. Lastly, LANCET uses a distribution matching network to verify whether both the Covariate-shift and Continuity conditions hold, in which case it would be safe to terminate the labeling process. Our experiments on diverse public data sets demonstrate that LANCET consistently outperforms the state-of-the-art methods from Snuba to GOGGLES and other baselines by a large margin - up to 30 percentage points increase in accuracy.

Increasing evidence suggests microRNAs (miRs/miRNAs) exert considerable functions in the pathogenesis of malignancies, including breast cancer (BC). The miR-200a-3p has previously been reported to promote tumorigenesis in different types of cancers. The present study aimed to investigate the potential role of and possible mechanisms of miR-200a-3p in BC. In this study miR-200a-3p and ephrin-A5 (EFNA5) expression in tissues of patients with BC was analyzed using The Cancer Genome Atlas (TCGA) database. And several BC cell lines were employed to determine the expression levels of miR-200a-3p and EFNA5. Then, miR-200a-3p expression was silenced by transfection with miR-200a-3p inhibitor. Cell proliferation was evaluated using a cell counting kit-8 kit and colony formation assay, whilst cell invasion and migration were detected using Transwell and wound healing assays, respectively. Then, the potential interaction between miR-200a-3p and EFNA5 was verified using luciferase reporter assay. Subsequently, rescue assays were conducted by co-transfection with miR-200a-3p inhibitor and short hairpin RNA (shRNA) targeted against EFNA5 (shRNA-EFNA5) to study the effects of TTN-AS1 and miR-211-5p on BC development. Results indicated that miR-200a-3p expression was significantly upregulated while EFNA5 was notably downregulated in BC tissues and cell lines. Cells transfected with miR-200a-3p inhibitor presented lower abilities of cell proliferation, invasion and migration. Moreover, the luciferase reporter assay confirmed that EFNA5 was a direct target of miR-200a-3p. And EFNA5 silencing reversed the inhibitory effects of miR-200a-3p inhibitor on proliferation, invasion and migration of BC cells. Taken together, these findings revealed that miR-200a-3p silencing inhibits proliferation, invasion and migration of BC cells by targeting EFNA5, which provides insights into the regulatory mechanism of BC and new strategies for developing therapeutic interventions for this disease.

ObjectivesTo determine the effectiveness of virtual reality (VR)-based intervention on the symptoms and rehabilitation management in patients with breast cancer.DesignSystematic review and meta-analysis.Study selectionWe included all eligible randomised controlled trials and quasi-experimental studies (published in English and Chinese).ParticipantsPatients with breast cancer (≥18 years) undergoing cancer treatment.InterventionsAny intervention administered to improve the symptoms and rehabilitation of patients with breast cancer. The control group was given conventional care.OutcomesAll outcomes were as follows: pain, fatigue, anxiety, depressive symptoms, cognitive function, and range of motion of upper limb in patients with breast cancer.Data sourcesWe searched PubMed, Embase, CENTRAL and SinoMed, four electronic databases, covering the database establishment period to January 2022.Review methodsTwo reviewers independently extracted content and data consistent with the prespecified framework and assessed risk bias. Random-effects meta-analysis was used to pool data across trials. Meta-analysis was performed using Review Manager V.5.4.ResultsA total of eight studies met the eligibility criteria and were included in this study. The combined effect size showed that VR was positive for improving patients’ anxiety(standard mean differenc (SMD)=−2.07, 95% CI= (−3.81 to −0.34), I2=95%) and abduction of upper limbs (MD=15.54, 95% CI= (12.79 to 18.29), I2=0%), but fatigue (SMD=−0.92, 95% CI= (−4.47 to 2.62), I2=99%) was not. Qualitative analysis showed VR improved patients' depressive symptoms, pain and cognitive function.ConclusionsVR technology has a good effect on symptoms and rehabilitation management of patients with breast cancer, but the quality of evidence is low, and the sample size is small. To date, there are few intervention studies, therefore, giving precise recommendation or conclusion is difficult. We have a favourable view of this, and more clinical studies are needed in the future to improve the credibility of the results.

Background: This study was designed to investigate the effects of Downstream of Tyrosine Kinase 2, Docking Protein 2 (DOK2) on breast cancer cells, and its potential mechanism in disease pathogenesis. Methods: The expression of DOK2 in human breast cancer cell lines and mammary epithelial cells were assessed by RT-qPCR and Western blot assay. CCK8 was used to evaluate cell proliferation, wound healing and transwell were used to detect cell migration and invasion. Furthermore, Western blot was used to detect the expression of migration-related proteins, MMP2, MMP9 and Ras/ERK pathway-related proteins. Results: The expression level of DOK2 was significantly lower in breast cancer MCF7 and MDA-MB-231 cells compared with the normal breast cancer cell line MCF10A. To further investigate the function of DOK2, the overexpressed plasmid of DOK2 was transfected into MCF7 and MDA-MB-231 cells, the results revealed that DOK2 markedly inhibited cell proliferation, cell migration and invasion via inhibiting the Ras/ERK pathway. Conclusions: Collectively, the data demonstrated that DOK2 could directly inhibits proliferation, migration and invasion of breast cancers via inhibiting the Ras/ERK pathway.

A case of Rickettsia sibirica subspecies sibirica BJ-90 infection in China was identified by metagenomic analysis of an eschar biopsy specimen and confirmed by nested PCR. Seroprevalence of spotted fever group Rickettsia was ≈17.4% among the local population. This report highlights the threat of rickettsioses to public health in the Qinghai-Tibet Plateau.

Triple negative breast cancer (TNBC) is one of the most common malignant tumors in women and the tripartite motif 66 (TRIM66) is closely associated with the behaviors of wide variety of cancer. Thus, in this study, we aimed to explore the effect of TRIM66 in MDA-MB-468 TNBC cell line. Western blot and RT-PCR assays were used to detect the expression level of TRIM66 in human normal mammary cells and human breast cancer cell lines. We silenced its expression in MDA-MB-468 cells by transient siRNA transfection to ascertain the function of TRIM66 in MDA-MB-468 cells. CCK8 and clonogenicity assays were used to evaluate the ability of cell proliferation. Wound healing and Transwell were used to detect cell invasion and migration. TUNEL was applied to detect the apoptosis level. Western blotting was used to detect the expression of related proteins. TRIM66 was observed markedly elevated in breast cancer cell line. Knockdown of TRIM66 inhibited the expression of EGFR, P-Jak2, P-STAT3, JAK2, and STAT3 in MDA-MB-468 cells through regulating the epidermal growth factor receptor (EGFR) signaling. Knockdown of TRIM66 suppresses proliferation, invasion and migration of MDA-MB-468 cell line and promotes apoptosis in these cells through EGFR signaling.

This paper provides the physical design of a low-energy proton irradiation facility for space radiation effect research, based on an existing linear accelerator (linac)-based compact neutron source . The beam requirement of the low-energy proton irradiation consists of a proton flux range of 1 0 8 – 1 0 9 p ∕ cm 2 ∕ s with a nonuniformity of less than 10% in the target diameter area of 2 cm, and optional proton energies of 1 MeV to 13 MeV. Based on the existing high-current proton linac, the flux range and nonuniformity of the proton beam at the target can be achieved by inserting beam apertures, adjusting quadrupole fields to expand the beam size, and decreasing the repetition rate of the beam pulse. To measure the energy distribution of the protons, one CdZnTe detector can be employed. The above approach is performed on the physical design of the low-energy proton facility for the Compact Pulsed Hadron Source at Tsinghua University. The proton flux at the target can be reduced from 6 . 2 × 1 0 14 p ∕ cm 2 ∕ s to 1 . 2 × 1 0 8 − 3 . 0 × 1 0 9 p ∕ cm 2 ∕ s , and proton energies of 0.56, 5.0, 8.2, and 10.5 MeV can be obtained separately with the energy degrader (aluminum) thicknesses of 75, 800, 550, and 300 μ m. Irradiation nonuniformity is less than 10%. Energy spread is less than 10% for the proton energy of 3.0, 5.0, 8.2, and 10.5 MeV, except for the low energy of 0.56 MeV.

Background Hand, Foot, and Mouth Disease (HFMD) is most frequently caused by Enterovirus71 (EV-A71) or Coxsackie virus A16 (CV-A16), infants and young children are at greatest risk. Describing the epidemiology of HFMD can help develop and better target interventions, including the use of pediatric EV-A71 vaccination. Methods We obtained data from the national surveillance system for HFMD cases with onset dates from 2009 to 2015. We defined probable cases as patient with skin papular or vesicular rashes on the hands, feet, mouth, or buttocks and confirmed cases as patients with the above symptoms along with laboratory-based enterovirus detection. We generated overall and age-specific annual incidence rates and described the temporal variability and seasonality of HFMD in Qinghai Province. We identified spatial clustering of HFMD incidence at the county level using the Local Indicator of Spatial Associationand an alpha level of 0.05. Results During the study period, 14,480 HFMD probable or confirmed cases were reported in Qinghai Province. Of the 2158 (14.9%) with laboratory confirmation, 924 (42.6%) were caused by CV-A16 and 830 (38.2%) were caused by EV-A71. The majority (89%) of all case-patients were ≤ 5 years of age and male (61.5%). The overall mean annual HFMD incidence rate was 36.4 cases per 100,000 populations, while the incidence rate for children ≤5 years of age was 379.5 cases per 100,000. Case reports peaked during the months of May through July. HFMD was predominantly caused by EV-A71, except in 2010 and 2014 when CV-A16 was the predominant causative agent. High incidence rates of HFMD were clustered (Moran’s I = 0.59, P

Similarity search is the basis for many data analytics techniques, including k-nearest neighbor classification and outlier detection. Similarity search over large data sets relies on i) a distance metric learned from input examples and ii) an index to speed up search based on the learned distance metric. In interactive systems, input to guide the learning of the distance metric may be provided over time. As this new input changes the learned distance metric, a naive approach would adopt the costly process of re-indexing all items after each metric change. In this paper, we propose the first solution, called OASIS, to instantaneously adapt the index to conform to a changing distance metric without this prohibitive re-indexing process. To achieve this, we prove that locality-sensitive hashing (LSH) provides an invariance property, meaning that an LSH index built on the original distance metric is equally effective at supporting similarity search using an updated distance metric as long as the transform matrix learned for the new distance metric satisfies certain properties. This observation allows OASIS to avoid recomputing the index from scratch in most cases. Further, for the rare cases when an adaption of the LSH index is shown to be necessary, we design an efficient incremental LSH update strategy that re-hashes only a small subset of the items in the index. In addition, we develop an efficient distance metric learning strategy that incrementally learns the new metric as inputs are received. Our experimental study using real world public datasets confirms the effectiveness of OASIS at improving the accuracy of various similarity search-based data analytics tasks by instantaneously adapting the distance metric and its associated index in tandem, while achieving an up to 3 orders of magnitude speedup over the state-of-art techniques.

Scalable subsequence matching is critical for supporting analytics on big time series from mining, prediction to hypothesis testing. However, state-of-the-art subsequence matching techniques do not scale well to TB-scale datasets. Not only does index construction become prohibitively expensive, but also the query response time deteriorates quickly as the length of the query subsequence exceeds several 100s of data points. Although Locality Sensitive Hashing (LSH) has emerged as a promising solution for indexing long time series, it relies on expensive hash functions that perform multiple passes over the data and thus is impractical for big time series. In this work, we propose a lightweight distributed indexing framework, called ChainLink, that supports approximate kNN queries over TB-scale time series data. As a foundation of ChainLink, we design a novel hashing technique, called Single Pass Signature (SPS), that successfully tackles the above problem. In particular, we prove theoretically and demonstrate experimentally that the similarity proximity of the indexed subsequences is preserved by our proposed single-pass SPS scheme. Leveraging this SPS innovation, Chainlink then adopts a three-step approach for scalable index building: (1) in-place data re-organization within each partition to enable efficient record-level random access to all subsequences, (2) parallel building of hash-based local indices on top of the re-organized data using our SPS scheme for efficient search within each partition, and (3) efficient aggregation of the local indices to construct a centralized yet highly compact global index for effective pruning of irrelevant partitions during query processing. ChainLink achieves the above three steps in one single map-reduce process. Our experimental evaluation shows that ChainLink indices are compact at less than 2% of dataset size while state-of-the-art index sizes tend to be almost the same size as the dataset. Better still, ChainLink is up to 2 orders of magnitude faster in its index construction time compared to state-of-the-art techniques, while improving both the final query response time by up to 10 fold and the result accuracy by 15%.

Objectives: To evaluate a policy-based intervention to increase seasonal-influenza-vaccination coverage in healthcare workers in Xining, a city in Western China. Methods: From October 2018 to March 2019, we implemented a free vaccination policy in healthcare workers in Xining. A face-to-face interview with the head of the infection control department and an online survey for medical staff in four tertiary medical facilities was conducted to understand both the implementation of the free policy and influenza vaccination coverage. Possible factors for influenza vaccination among healthcare workers (physician, nurses working on the front-line, HCWs) were investigated by multivariate-logistic regression. Results: Coverage in two hospitals that implemented the free vaccination policy was 30.5% and 25.9%, respectively, which was statistically different to hospitals that did not implement the free policy (7.2% and 8.7%, respectively) (&chi, 2 = 332.56, p &lt, 0.0001). Among vaccinated healthcare workers, 65.5% and 48.6% reported their main reasons for vaccination were a convenient vaccination service and awareness of the free vaccination policy. The reasons for not being vaccinated among the 3389 unvaccinated healthcare workers included: the inconvenient vaccination service (33.8%), believing vaccination was unnecessary (29.7%), concerns about adverse reactions to the vaccine (28.8%), and having to pay for the vaccine (25.6%). Conclusions: Implementing the free vaccination policy, combined with improving the accessibility of the vaccination service, increased seasonal-influenza vaccination-coverage in healthcare workers in Xining.

In this research, the GNSS observation noise is assessed in details based on zero baseline data. The 24-h observations are collected from two CORS stations of Curtin University (32.0°S, 115.9°E) on February 8, 2017. The code and carrier phase observation noise is assessed in details for every system of GPS, GLONASS, BeiDou, Galileo, SBAS and QZSS and for every measurement type and every satellite. In addition, the observation noise by two different kinds of receiver is also assessed and compared. From the numerical results, we find that: (1) Among the six GNSS systems, the code noise of Galileo is the smallest, the noise of all observed Galileo code types are no more than 0.1 m and the noise of C8X is only around 1 cm; the GLONASS code noise is the biggest, the noise of code types C1C and C2C are around 0.25 m; (2) The noise can vary greatly for different code measurement types and there is at least one code measurement type in each system with noise smaller than 0.1 m; (3) For carrier phase, Galileo noise is slightly smaller than the other systems, the noise of all carrier phase types are smaller than 1 mm; GLONASS noise is the biggest, the noise of L2C and L2P are all bigger than 1 mm, some can reach about 1.7 mm; (4) Generally, there is no obvious noise difference for different carrier phase measurement types of each system, except for GLONASS, of which the noise of frequency band L2 is obviously bigger than that of L1; (5) For BeiDou, MEO and IGSO have similar carrier phase noise level, but the noise of GEO is clearly related to elevation angle, with the decrease of elevation angle, the noise will increase; (6) The carrier phase noise of different kinds of receiver may vary greatly, in this research, the numerical results show that the noise of JAVAD receiver are generally much smaller than TRIMBLE.

In recent years, micro combined cooling, heating and power generation (mCCHP) systems have attracted much attention in the energy demand side sector. The input energy of a mCCHP system is natural gas, while the outputs include heating, cooling and electricity energy. The mCCHP system is deemed as a possible solution for households with multiple energy demands. Given this background, a mCCHP based comprehensive energy solution for households is proposed in this paper. First, the mathematical model of a home energy hub (HEH) is presented to describe the inputs, outputs, conversion and consumption process of multiple energies in households. Then, electrical loads and thermal demands are classified and modeled in detail, and the coordination and complementation between electricity and natural gas are studied. Afterwards, the concept of thermal comfort is introduced and a robust optimization model for HEH is developed considering electricity price uncertainties. Finally, a household using a mCCHP as the energy conversion device is studied. The simulation results show that the comprehensive energy solution proposed in this work can realize multiple kinds of energy supplies for households with the minimized total energy cost.

Water vapor plays an important role in climate change; thus, studying the spatial distribution and temporal variation of precipitable water vapor (PWV) in the coastal regions of China would help researchers to understand the climate characteristics of those regions. In this paper, 6-year 1-h interval PWV were derived from 27 Global Positioning System stations observations of Chinese coastal GPS observation network, surface meteorological data and European Center for Medium-Range Weather Forecasts (ERA-Interim) reanalysis products. The present study provides the use of these data to investigate the spatial-temporal variability of water vapor throughout the coastal regions of China. Latitude is the main factor affecting the spatial distribution of GPS-derived PWV; that is, PWV decreased by about 1.5 mm for each 1° increase of latitude. For regions at the same latitude, a region that is relatively close to the ocean will have a higher content of PWV. The PWV in the southeastern and southwestern coastal regions of China is significantly higher in summer; this may be influenced by the southeastern and southwestern water vapor inflow corridors. The PWV obviously varies monthly, reaching a minimum in January; however, the timing of the maximum varied but usually appeared in June, July or August and was affected by the monsoons. The PWV varies largely between summer and winter with a larger gradient of change in PWV with latitude in winter than in summer. The positive correlation coefficient between PWV and the surface temperature varied in different seasons; this is related to the changes of temperature and the horizontal motion of water vapor. Use of the Fast Fourier Transform method showed that the PWV time series data have multi-scale characteristics. The amplitude and phase of the PWV time series in annual, semiannual, four month and seasonal cycles were extracted through harmonic wave analysis. The amplitude of four month and seasonal cycles did not pass significance testing. The maximum amplitude of the annual PWV cycle is located in mid-latitudes with 22.09 mm, which gradually decreases towards high latitude and equator area. The peak time of annual PWV cycle occurs in July, which does not agree with the timing of the maximum monthly average PWV. The semiannual cycle amplitudes is between 0.42 and 6.32 mm, with no significant correlation between their distribution and latitude. The peak time of semiannual PWV cycles is during about January–March and July–September, and the peak time gradually becomes late from north to south.

The ocean tide model is an important factor in determining high-precision and high-resolution gravity field models, sea surface topography and ocean circulation. With the rapidly development of GNSS theory and applications, GNSS-IR technology based on multipath effects has been proved by scholars can be used for tidal level monitoring. In order to further expand the application of GNSS-IR technology in the ocean tide field, this paper takes the GNSS measurement station sc02, which located on the shore of the Friday Harbor in Washington, USA, as an example to analyze the tidal wave with 13-year GNSS dataset. Combined with the traditional tide gauge data, the accuracy analysis of the global ocean tide models TPXO6.2 and TPXO09 using GPS-IR technology is carried out. The experimental results show that: the results of amplitude and retardation obtained from the GNSS-IR inversion tide level are different from the results obtained by the corresponding tide station. But the tidal coefficients, which obtained by the inversion of the tidal level of the GNSS station and which calculated by the ocean tide model, are showing a high consistency. The GNSS-IR technique has higher precision for obtaining the tidal coefficient.

RATIONALE Anatomical variations in aortic arch (AA) branching are not unusual. Generally, these variations are asymptomatic and are diagnosed incidentally. Here, we report a rare case of a middle-aged female patient with an aberrant right subclavian artery (ARSA) associated with anomalous origins of the bilateral vertebral arteries (VAs). PATIENT CONCERNS The patient treated for urolithiasis complained of repeated dizziness for several years. DIAGNOSES Echocardiography and computed tomography angiography (CTA) confirmed arterial variations. Moreover, mild stenosis was found in the left common carotid artery (LCCA), which was considered to be the cause of dizziness. INTERVENTIONS Congenital anomalous arteries were not necessary to intervene urgently, but aspirin and atorvastatin were administered to prevent potential thrombosis attributed to vascular stenosis after completing the operation for urolithiasis. OUTCOMES Whether the symptoms will be alleviated or not should be continuously followed up, and the patient may accept interventional therapy in the future if necessary. LESSONS Here, we report the rare variation of AA branches and highlight the importance of preoperative vascular assessment in surgical or interventional procedures for the affected body regions.

BACKGROUND The aim of this study was to explore the prevalence of type I allergic diseases in patients with breast cancer by carrying out a questionnaire survey and IgE detection in a healthy population and in patients with breast cancer. MATERIAL AND METHODS There were 309 patients enrolled and they were further divided into the type I allergic disease group, the newly diagnosed breast cancer with type I allergic disease group, the re-visit breast cancer with type I allergic disease group, and the re-visit breast cancer without type I allergic disease group, as well as a healthy control group. Serum total IgE level was detected by immunoassay. RESULTS The IgE value in the healthy population with type I allergic diseases (89.3±51.4 IU/ml) was significantly higher than in those without type I allergic diseases (45.6±65.1 IU/ml). There was no significant difference between IgE values in the re-visit breast cancer patients with type I allergic disease (25.1±65.1 IU/ml) and those without type I allergic disease (23.0±45.9 IU/ml). The area under the ROC curve was 0.618±0.04, sensitivity was 78%, specificity was 47.1%, Youden index was 0.251, and IgE threshold was 32.6 IU/ml. CONCLUSIONS The patients with newly diagnosed breast cancer were susceptible to type I allergic disease at about the same levels as in the healthy population. There was no correlation between breast cancer and type I allergic disease.

IL-4 plays an important role in the pathogenesis of atopic dermatitis (AD), a common chronic inflammatory skin disease. We have generated IL-4 transgenic (Tg) mice by over-expressing IL-4 in the epidermis. These mice spontaneously develop chronic pruritic inflammatory skin lesions, which meet the clinical and histological diagnostic criteria for human AD. Systemic survey of immune-related genes in this mouse model, however, has not been performed. In this study, we utilize PCR array technique to examine hundreds of inflammation-related genes in the IL-4 Tg mice before and after the onset of skin lesions as well as in their wild type (WT) littermates. Only those genes with at least 2-fold up-regulation or down-regulation and with a P-value of less than 0.05 in comparison to WT controls were identified and analyzed. In the skin lesions, many chemokines, pro-inflammatory cytokines, and other AD-related factors are dysregulated compared to the wild type mice. Particularly, CXCL5, IL-1β, IL-24, IL-6, oncostatin M, PTGS2, FPR1 and REG3γ are up-regulated several hundred-fold. In the pre-lesional group that shows no obvious skin abnormality on clinical observation, 30 dysregulated genes are nevertheless identified though the fold changes are much less than that of the lesional group, including CCL6, CCL8, CCL11, CCL17, CXCL13, CXCL14, CXCR3 and IL-12Rβ2. Finally using ELISA, we demonstrate that 4 most dramatically up-regulated factors in the skin are also elevated in the peripheral blood of the IL-4 Tg mice. Taken together, our data have identified hundreds of dysregulated factors in the IL-4 Tg mice before and after the onset of skin lesions. Future detailed examination of these factors will shed light on our understanding of the development and progression of AD and help to discover important biomarkers for clinical AD diagnosis and treatment.

Hand, foot, and mouth disease (HFMD) has become a major public health issue in China. The disease incidence varies substantially over time and across space. To understand the heterogeneity of HFMD transmission, we compare the spatiotemporal dynamics of HFMD in Qinghai and Shanghai by conducting combined analysis of epidemiological, wavelet time series, and mathematical methods to county-level data from 2009 to 2016. We observe hierarchical epidemic waves in Qinghai, emanating from Huangzhong and in Shanghai from Fengxian. Besides population, we also find that the traveling waves are significantly associated with socio-economic and geographical factors. The population mobility also varies between the two regions: long-distance movement in Qinghai and between-neighbor commuting in Shanghai. Our findings provide important evidence for characterizing the heterogeneity of HFMD transmission and for the design and implementation of interventions, such as deploying optimal vaccine and changing local driving factors in the transmission center, to prevent or limit disease spread in these areas., Author summary Hand, foot, and mouth disease (HFMD) has been a concern in Asian regions since the late 1990s. To disclose the transmission mechanism of HFMD and its driving factors, we combined epidemiological, spatial, and mathematical analysis, using HFMD cases in two provinces (Qinghai and Shanghai) of China as an example. We found the phenomenon of traveling waves in the process of HFMD transmission for the first time and identified different types of traveling waves associated with different driving factors. HFMD in Qinghai decline year by year with the characteristics of cross-region population mobility, while epidemics in Shanghai are persistent in the suburban areas with low incidence in the urban areas and neighboring population movement dominates the pattern. Our findings facilitate the understanding of HFMD transmission mechanisms over geographic regions, which are crucial for designing a jointly effective HFMD prevention and control strategy.

Tables S1â 7. Statistically significant county-level high incidence and low incidence spatial clusters of Hand, Foot, and Mouth Disease identified using the Local Indicator for Spatial Autocorrelation in GeoDa software in 2009â 2015. (DOCX 24 kb)

Figure. Proportions of enterovirus serotypes in laboratory-confirmed cases of HFMD in 2009â 2015, Qinghai Province, China. (DOCX 96 kb)

Table. Annual incidence rates, severity, and case-fatality for children 0–5 years of age of Hand, Foot, and Mouth Disease (HFMD), Qinghai Province, 2009–2015. (DOCX 13 kb)

Figure. Annual and mean seven-year county level incidence rates of HFMD, Qinghai Province, China, 2009â 2015. (DOCX 220 kb)

Atopic dermatitis (AD) is a skin condition characterized by chronic inflammatory cell infiltration and skin pruritus. Angiogenesis and lymphangiogenesis are key features in the development of AD because blood and lymphatic vessels provide pathways for immune cell transport. Crucial interactions among selectins, integrins, cytokines, chemokines, and various growth factors promote the growth of the vasculature resulting in exacerbation of the AD condition. Although research on angiogenesis and lymphangiogensis in relation to human AD is limited in scope and depth, we explain the role of vasculature in AD as a foundation to introduce our evidence of neovascularization in an animal model of the disease. In this review, we attempt to delineate the potential roles of angiogenesis and lymphoangiogenesis in AD to target new areas of therapeutic intervention.

The aim of the present study was to investigate the serum levels of 6-keto-prostaglandin (PG)F1α and thromboxane (TX)B2, as well as the endothelialization and hyperplasia of polytetrafluoroethylene (PTFE) and Dacron prostheses seeded with CD34+ cells in medium-term observation. A total of 24 crossbred dogs were randomly distributed into PTFE or Dacron groups. CD34+ cells were isolated from bone marrow aspirate and collected using an immunomagnetic bead-based system. The PTFE or Dacron prostheses were implanted into the abdominal aortic artery and inferior vena cava of the dogs. In each group, 8 dogs were implanted with prostheses that had been seeded with CD34+ cells, while 4 dogs were implanted with prostheses that had been seeded with autogenous blood as a control. Serum concentrations of 6-keto-PGF1α and TXB2 were determined at days 0, 10, 30 and 60 following surgery. The grafts were removed and examined at days 10, 30, 60 and 100 following surgery. Finally, CD34 factor staining was used to identify endothelial cells, while light and electron microscopy were applied to examine endothelialization and patency. The results revealed that confluent endothelial cells appeared on the neointima of prostheses seeded with CD34+ cells at day 30 following surgery. In the control groups compared with the experimental groups, there were fewer endothelial cells and the neointima was significantly thicker in the arterial (PTFE, 174±1.41 vs. 117±2.83 μm, respectively; P=0.001; Dacron, 187.5±3.5 vs. 100±1.41 μm, respectively; P