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Photoacoustic imaging (PAI) is an emerging imaging strategy with a unique combination of rich optical contrasts, high ultrasound spatial resolution, and deep penetration depth without ionizing radiation. Taking advantage of the features mentioned above, PAI has been widely applied to preclinical studies in diverse fields, such as vascular biology, cardiology, neurology, ophthalmology, dermatology, gastroenterology, and oncology. Among various biomedical applications, photoacoustic brain imaging has great importance due to the brain’s complex anatomy and the variability of brain disease. In this review, we aimed to introduce a novel and effective imaging modality for diagnosing brain diseases. Firstly, a brief overview of two major types of PAI system was provided. Then, PAI’s major preclinical applications in brain diseases were introduced, including early diagnosis of brain tumors, subtle changes in the chemotherapy response, epileptic activity and brain injury, foreign body, and brain plaque. Finally, a perspective of the remaining challenges of PAI was given for future advancements.

Given a table of multi-dimensional data, what analyses would human create to extract information from it? From scientific exploration to business intelligence (BI), this is a key problem to solve towards automation of knowledge discovery and decision making. In this paper, we propose Table2Analysis to learn commonly conducted analysis patterns from large amount of (table, analysis) pairs, and recommend analyses for any given table even not seen before. Multi-dimensional data as input challenges existing model architectures and training techniques to fulfill the task. Based on deep Q-learning with heuristic search, Table2Analysis does table to sequence generation, with each sequence encoding an analysis. Table2Analysis has 0.78 recall at top-5 and 0.65 recall at top-1 in our evaluation against a large scale spreadsheet corpus on the PivotTable recommendation task.

Sujuan Zeng,1,&ast; Shiqi Liu,1,2,&ast; Yintao Lan,3 Ting Qiu,3 Mengyu Zhou,3 Weijian Gao,3 Wenyan Huang,1 Lihong Ge,1,4 Jian Zhang1,3 1Department of Pedodontics, Affiliated Stomatology Hospital of Guangzhou Medical University, Guangzhou Key Laboratory of Basic and Applied Research of Oral Regenerative Medicine, Guangdong, People’s Republic of China; 2Department of Stomatology, Taihe Hospital, Institute of Oral Diseases, School of Dentistry, Hubei University of Medicine, Hubei, People’s Republic of China; 3Department of Biomedical Engineering, School of Basic Medical Sciences, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University, Guangdong, People’s Republic of China; 4Department of Pediatric Dentistry, Stomatology Hospital of Peking University, Beijing, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Jian Zhang; Lihong Ge Email jianzhang@gzhmu.edu.cn; gelh0919@126.comBackground: Squamous cell carcinoma of the head and neck is the sixth most common cancer worldwide, with 40% occurring in the oral cavity. Although the level of early diagnosis and treatment of OSCC has improved significantly, the five-year survival rate of advanced patients remains unsatisfactory. However, the main challenges before us are how to get an early and accurate diagnosis and how to formulate effective treatment. Nanoparticle-based chemo-photothermal therapy has proven to be a promising non-invasive approach to treating oral squamous cell carcinoma treatment.Methods: In this study, we tried to design and synthesize multifunctional hyaluronic acid (HA) modified gold nanorods/mesoporous silica-based nanoparticles loaded with doxorubicin hydrochloride (DOX) for photoacoustic imaging (PAI) guided cooperative chemo-photothermal therapy.Results: The resultant nanocomposite shows favorable biocompatibility, relatively low cytotoxicity, ideal drug loading capability and strong PAI signals. In addition, they showed an excellent photothermal conversion efficiency of 49.02% for photothermal therapy (PTT). Moreover, in vivo and in vitro experiments have shown that synergistic chemo-photothermal therapy has better therapeutic effects than chemotherapy alone or PTT (P < 0.05). After being injected into the CAL-27 tumor-bearing mice, the DOX-AuNRs@mSiO2-HA nanoparticles could accumulate rapidly at the tumor sites and achieve complete ablation of tumors when combined with near-infrared laser irradiation, without obvious side effects on normal tissues.Conclusion: Our research provides a solid demonstration of the potential of DOX–AuNRs@mSiO2-HA as a multifunctional platform in PAI-guided photothermal chemotherapy for oral squamous cell carcinoma.Keywords: mesoporous silica coated gold nanorods, photoacoustic imaging, chemo-photothermal therapy, oral squamous cell carcinoma

We contribute a deep-learning-based method that assists in designing analytical dashboards for analyzing a data table. Given a data table, data workers usually need to experience a tedious and time-consuming process to select meaningful combinations of data columns for creating charts. This process is further complicated by the need of creating dashboards composed of multiple views that unveil different perspectives of data. Existing automated approaches for recommending multiple-view visualizations mainly build on manually crafted design rules, producing sub-optimal or irrelevant suggestions. To address this gap, we present a deep learning approach for selecting data columns and recommending multiple charts. More importantly, we integrate the deep learning models into a mixed-initiative system. Our model could make recommendations given optional user-input selections of data columns. The model, in turn, learns from provenance data of authoring logs in an offline manner. We compare our deep learning model with existing methods for visualization recommendation and conduct a user study to evaluate the usefulness of the system., Accepted at the IEEE Visualization Conference (IEEE VIS 2021). 11 pages, 10 figures

Background San Francisco implemented one of the earliest shelter-in-place public health mandates in the U.S., with flattened curves of diagnoses and deaths. We describe demographics, clinical features and outcomes of COVID-19 patients admitted to a public health hospital in a high population-density city with an early containment response. Methods We analyzed inpatients with COVID-19 admitted to San Francisco General Hospital (SFGH) from 3/5/2020–5/11/2020. SFGH serves a network of >63,000 patients (32% Latinx/24% Asian/19% African American/19% Caucasian). Demographic and clinical data through 5/18/2020 were abstracted from hospital records, along with ICU and ventilator utilization, lengths of stay, and in-hospital deaths. Results Of 157 admitted patients, 105/157 (67%) were male, median age was 49 (range 19-96y), and 127/157 (81%) of patients with COVID-19 were Latinx. Crowded living conditions were common: 60/157 (38%) lived in multi-family shared housing, 12/1578 (8%) with multigenerational families, and 8/157 (5%) were homeless living in shelters. Of 102 patients with ascertained occupations, most had frontline essential jobs: 23% food service, 14% construction/home maintenance, and 10% cleaning. Overall, 86/157 (55%) of patients lived in neighborhoods home to majority Latinx and African-American populations. Overall, 45/157 (29%) of patients needed ICU care, and 26/157 (17%) required mechanical ventilation; 20/26 (77%) of ventilated patients were successfully extubated, and 137/157 (87%) were discharged home. Median hospitalization duration was 4 days (IQR, 2–10), and only 6/157 (4%) patients died in hospital. Conclusion In San Francisco, where early COVID-19 mitigation was enacted, we report a stark, disproportionate COVID-19 burden on Latinx patients, who accounted for 81% of hospitalizations despite making up only 32% of the patient base and 15% of San Francisco’s total population. Latinx inpatients frequently lived in high-density settings, increasing household risk, and frequently worked essential jobs, potentially limiting the opportunity to effectively distance from others. We also report here favorable clinical outcomes and low overall mortality. However, an effective COVID-19 response must urgently address racial and ethnic disparities. Disclosures All Authors: No reported disclosures

With the continuous development of Web threats such as SQL injection and Cross-Site Scripting, Numerous web applications have been plagued by various forms of security threats and cyber attacks. And web attack detection has always been the focus of web security. Because the attacking payloads are often multiple small segments hidden in the long original request traffics, traditional machine learning based methods may have difficulties in learning useful patterns from the original request. In this study, we proposed an MLAB-BiLSTM method that can precisely detect Web attacks in real time by using multi-layer attention based bidirectional LSTM deep neural network. Firstly, due to the malicious payloads contains similar keywords, we used a keyword enhanced embedding method to transfer the original request to feature vectors. Then the features are divided into different segments. The words in the segments are firstly inputted into the bidirectional LSTM model with an attention mechanism to generate a encoded representation of different segments. Then the segments of the requests are input into another BiLSTM model with an attention mechanism to generate the encoded representation of the original request. Finally, the generated features are input into the Convolutional Neural Network to find out which kind of attack payload it is. The MLAB-BiLSTM model was tested on CSIC dataset and CTF competition traffic, the experiment results show that the accuracy of the model is above 99.81%, the recall of 99.56%, the precision of 99.60%, and the F1 Score is 0.9961, which outperformed both traditional rule-based methods like Libinjection or deep learning based methods like OwlEye.

A 28-year-old man presented to the emergency department with abdominal pain, nausea, and vomiting. He reported 6 weeks of intermittent upper and lower abdominal pain on the right side, which worsened with food intake and usually improved within 1 to 2 hours with antacids.

Over the years, numerous learning methods have been put forward to model and predict different user behaviors on end devices (e.g., ads click, location change, app launch). While the learn-then-deploy approaches achieve promising results in many scenarios, data heterogeneity and variability throw impediment in the way of deploying pre-learned models to a large cluster of end devices. On the other hand, learning on devices like smartphones suffers from limited data, computing power and energy budget. This paper proposes Colla, a collaborative learning approach for behavior prediction that allows cloud and devices to learn collectively and continuously. Colla finds a middle ground to build tailored model for each device, leveraging local data and computation resources to update the model, while at the same time exploits cloud to aggregate and transfer device-learned knowledge across the network to solve the cold-start problem and prevent over-fitting. We fully implemented Colla with a multi-feature RNN model on both smartphones and in cloud, and applied it to predict user locations. Evaluation results based on large-scale real data show that compared with training using centralized data, Colla improves prediction accuracy by 21%. Our experiments also validate the efficiency of Colla, showing that one overnight training on a commodity smartphone can process one-year data from a typical smartphone, at the cost of 2000mWh and few hundreds KB communication overhead.

Background To investigate the diagnostic value of the interferon-γ release assay (IGRA) for detecting tuberculosis (TB) infection in patients with Behçet’s disease (BD). Methods We retrospective analyzed the data collected from 173 BD patients hospitalized between 2010 and 2015. Ninety-nine healthy volunteers were enrolled as a control group. IGRA was performed using T-SPOT.TB. The diagnosis of active TB (ATB) was based on clinical, radiological, microbiological, histopathological information and the response to anti-TB therapy. Latent TB (LTB) infection was defined as asymptomatic patients with positive T-SPOT.TB. Results TB infection was documented in 59 BD patients (34.1%). The sensitivity, specificity, positive predictive value, negative predictive value, positive likelihood ratio and negative likelihood ratio of T-SPOT.TB for the diagnosis of ATB were 88.9%, 74.8%, 29.1%, 98.3%, 3.53 and 0.15, respectively. The receiver-operating-characteristic curve demonstrated that spot-forming cells (SFCs) of 70/106 PBMC was the optimal cutoff for diagnosing ATB, with an area under the curve of 0.891. Furthermore, the median SFCs in ATB group was significantly higher than those in LTB infection (466/106 PBMC vs. 68/106 PBMC, p = 0.007) or previous TB infection (466/106 PBMC vs. 96/106 PBMC, p = 0.018). A significant discrepancy between T-SPOT.TB and tuberculin skin test was noted (kappa coefficient = 0.391, p = 0.002). Conclusions T-SPOT.TB, an IGRA, may assist in the diagnosis of ATB in BD patients, and the higher SFCs suggest ATB in BD patients.

Osteoporosis is a chronic bone lytic disease, because of inadequate bone ossification and/or excessive bone resorption. Even though drugs are currently available for the treatment of osteoporosis, there remains an unmet need for the development of more specific novel agents with less adverse effects. Dehydrocostus lactone (DHC), a natural sesquiterpene lactone, was previously found to affect the differentiation of inflammatory cells by inhibiting NF-κB pathways, and garnered much interest for its anti-cancer properties via SOCS-mediated cell cycle arrest and apoptosis. As NF-κB pathway plays an essential role in osteoclast differentiation, we sought to discover the biological effects of DHC on osteoclast differentiation and resorptive activity, as well as the underlying mechanisms on these effects. Our research found that DHC inhibited RANKL-induced osteoclast differentiation, bone resorption and osteoclast specific genes expression via suppression of NF-κB and NFAT signaling pathways in vitro. We further demonstrated that DHC protected against ovariectomy (OVX)-induced bone loss in mice and the protective effect was mediated at least in part through the attenuation of NF-κB signaling pathway. Thus, this study provides insight that DHC might be used as a potential pharmacological treatment for osteoporosis.

The popular personalized livestreaming (PL) in China, arguably the largest PL market in the world, is more monetized than PL in US and hence demands much lower interactive latencies to ensure a good quality of user experience. However, our pilot experiment shows that the video frame latency, dominant component of PL's interactive latency, can be significantly slowed down by WiFi, the primary Internet access method for PL. Understanding and further improving the frame latency over WiFi, however, have difficulties in 1) measuring end-to-end latency; 2) parsing encrypted PL's traffic and 3) modeling complex relationships between WiFi radio factors and the latency. To tackle these challenges, we design and prototype Latency Doctor (LTDr), a practical system which aims to model and optimize PL's video frame latency over WiFi. We deploy LTDr in our campus and obtain several key observations based on 13.9M video frames extracted from 12K individual views on three leading PLs in China. We observe that 40% frame latencies over WiFi hop are more than 30ms, and channel utilization should be less than 64% for low latency. Then we build a predictive model based on the dataset using the machine learning methodologies. Two real cases show that the median frame latencies are decreased by LTDr from 130ms to 22ms, and 50ms to 12ms respectively over WiFi networks.

Objective Despite an extensive body of research on nonsteroidal antiinflammatory drugs (NSAIDs) in osteoarthritis, the duration of their efficacy and timeline of adverse event (AE) onset have been understudied. We conducted a systematic review and meta-analyses from 2 to 26 weeks to characterize the efficacy and AE trajectories of oral NSAIDs in knee osteoarthritis. Methods We searched MEDLINE, Embase, Web of Science, Google Scholar, and the Cochrane Database from inception to May 2018. Randomized controlled trials assessing the efficacy and/or safety of Federal Drug Administration-approved NSAIDs in knee osteoarthritis patients were included. Two independent reviewers assessed quality and extracted data. We calculated standardized mean differences (SMDs) and risk ratios (RRs) with 95% confidence intervals (95% CIs). Results We included 72 randomized controlled trials (26,424 participants). NSAIDs demonstrated moderate, statistically significant effects on pain that peaked at 2 weeks (SMD -0.43 [95% CI -0.48, -0.38]), but the magnitude of the effects decreased over time. The results for function were similar. The incidence of gastrointestinal (GI) AEs was significantly higher in NSAID users than placebo users as early as 4 weeks (RR 1.38 [95% CI 1.21, 1.57]). The incidence of cardiovascular (CV) AEs in NSAID users was not significantly different from placebo. Most GI and CV AEs were transient and of minor severity. Conclusion NSAIDs produced significant pain and function improvements that peaked at 2 weeks but decreased over time. The incidence of minor GI and CV AEs consistently rose, reaching significance as early as 4 weeks. Clinicians should weigh the durability of efficacy with the early onset of minor AEs along with patient tolerability and preferences when formulating an NSAID regimen.

Aim To retrospectively investigate the features of renal involvements in patients with primary Sjogren's syndrome (pSS) with biopsy results. Methods A total of 2096 pSS inpatients at Peking Union Medical College Hospital in China from 2005 to 2015 were identified. Patients with biopsy-proven renal involvement (SS-renal) and matched controls (SS-only) were recruited. The clinical and pathologic features as well as treatments and outcomes were systematically analyzed. Results One hundred and three pSS nephritis (inpatients had biopsy-proven renal involvement. Tubulointerstitial 53, 51.5%) was the prominent pathologic pattern with glomerulonephritis (GN) present in 50 (48.5%) of the renal lesions. The patterns of GN lesions included membranous nephropathy (37, 35.9%), mesangial proliferative glomerulonephritis (six, 5.8%) or immunoglobulin A nephropathy (three, 2.9%), minimal change disease (four, 3.9%) and focal segmental glomerulosclerosis (three, 2.9%). Compared to SS-only patients, SS-renal patients had fewer dry eyes and positive objective xerostomia (P < 0.05). They presented with a significantly lower incidence of interstitial lung disease (ILD), leukocytopenia and elevated immunoglobulin G levels (P < 0.05). They received a larger initial dosage of corticosteroid and had a higher mortality rate (P < 0.05). Conclusion This Chinese SS-renal population with biopsy results has diverse pathologic patterns and distinct clinical features. They are characterized with prominent renal-associated and mild SS-associated features. They received more vigorous treatment but had poorer prognosis.

Osteoporosis, a bone disease resulting in the loss of bone density and microstructure quality, is often associated with fragility fractures, and the latter imposes a great burden on the patient and society. Although there are several different treatments available for osteoporosis such as hormone replacement therapy, bisphosphonates, Denosumab, and parathyroid hormone, some concerns have been raised regarding the inherent side effects of their long term use. It would be of great relevance to search for alternative natural compounds, which could complementarily overcome the limitations of the currently available therapy. Herein, we review current literature on natural compounds that might have therapeutic values for osteoporosis. Search terms included bone resorption, bone density, osteoporosis, postmenopausal, osteoporosis or bone density conservation agents, and any of the terms related to traditional, herbal, natural therapy, natural health, diet, or phytoestrogens. All the compounds and herbs included in the review are naturally bioactive or are used in folk herbal medicine and have been reported to be capable of attenuating osteopenia or osteoporosis in vivo or in vitro, through various mechanisms - estrogen-like activity, antioxidant and anti-inflammatory properties, or by modulating the key signaling pathways in the pathogenesis of osteoporosis. Through our assessment of the therapeutic potential and outlook of alternative medicine, we aim to provide an appealing perspective for the consideration of the application of a complementary anti-osteoporotic treatment option and prevention strategy for osteoporosis or osteolytic bone disorders.

Background This study reports the clinical and pathological features of 12 cases of primary Sjogren syndrome (pSS) with renal involvement presenting with proximal tubular dysfunction in a single center, and investigates the possible correlation of ectopic germinal center formation and megalin/cubilin down-expression. Method Clinical and pathological records were reviewed. Immunohistochemistry was carried out to detect megalin, cubilin, CD21 and IL-17 expression. Results Patients presented with different degrees of proximal renal tubule lesion and decreased estimated glomerular filtration rate (eGFR). Renal biopsy revealed tubulointerstitial nephritis, with tubular epithelial cell degeneration, tubular atrophy, interstitial inflammation and focal fibrosis. Immunohistochemistry revealed decreased expression of megalin and cubilin, two important multiligand protein receptors on the brush border of proximal tubular epithelial cells. IL-17 secreted by Th17 subtype effector T cells was diffusely detected in the renal proximal tubule, with a negative correlation of IL-17 and megalin expression. In addition, ectopic germinal centers characterized by CD21+ follicular dendritic cells were present in the renal interstitium. In patients with a decreased eGFR, treatment with 4 weeks of glucocorticoid therapy resulted in an improved eGFR in 75% of patients. Conclusion We report 12 cases of pSS characterized by Fanconi syndrome. The decreased megalin and cubilin expression may contribute to the proximal tubular reabsorption defect, possibly secondary to Th17 infiltration and formation of ectopic germinal centers.

Objectives Nevirapine (NVP), a still widely used nonnucleoside reverse transcriptase inhibitor, can cause severe hepatotoxicity. Previous studies suggest that CD4 cell counts more than 250 cells per microliter in women and more than 400 cells per microliter in men are risk factors for NVP-related hepatotoxicity. These studies have informed Chinese national treatment guidelines. We evaluate whether current Chinese guidelines for NVP use are appropriate. Methods Longitudinal data were pooled from 2 clinical trials between 2005 and 2009 across mainland China. Five hundred sixty-six antiretroviral therapy-naive Chinese patients were given NVP-containing antiretroviral therapy for 24 weeks. Hepatotoxicity was defined as alanine aminotransferase, aspartate transaminase, or total bilirubin level greater than 1.25 times the upper limit of normal range. Severe hepatotoxicity was defined as greater than 5 times the upper limit of normal range. Results One hundred ninety-seven (36.1%) patients developed hepatotoxicity during treatment, including 42 (7.7%) patients with severe hepatotoxicity. CD4 cell count more than 250 cells per microliter was an independent predictor for hepatotoxicity both in men [relative risk = 1.22 (95% confidence interval: 1.04 to 1.44)] and in women [relative risk = 1.72 (95% confidence interval: 1.20 to 2.46)]. Severe hepatotoxicity was also more common among all persons with CD4 >250 cells per microliter. Conclusions Hepatotoxicity was a common adverse effect of NVP among men and women with CD4 >250 cells per microliter. Chinese treatment guidelines should be considered to reflect this risk.

Th17-related cytokines are essential factors in various pathological states, including inflammatory bone destruction. This study investigated the contribution of Th17-related cytokines to the progress of experimentally induced rat periapical lesions. Periapical pathoses were induced by unsealed exposure of the pulp chamber of the lower first molars. A variety of immunocompetent cells, including CD68(+) macrophages, Ia antigen(+) cells and TCRαβ(+) T cells, were observed in the lesions. The expression levels of Th17-related cytokines, IL-17 and IL-23, and of pro-inflammatory cytokines, IL-1β and IL-6, were significantly increased at 14 days (expansion stage) compared with normal periapical tissues. The expression levels of Foxp3, a regulatory T cell (Treg)-related gene, and of IL-10, an anti-inflammatory cytokine, were higher at 28 days (chronic stage) than at 14 days. These findings suggest that Th17-related cytokines may be primary contributors to the initiation of periapical bone destruction, and that lesion expansion may be regulated by anti-inflammatory mediators.

To investigate the clinical and pathological characteristics of renal involvement in Behcet's disease (BD).A retrospective analysis was carried out in BD patients complicated with renal damage who were hospitalized in Peking Union Medical College Hospital from June 1998 to July 2012.There were 16 BD patients with renal involvement, accounted for 2.6% of all the 618 hospitalized BD patients. The presentation of renal disease was chronic glomerulonephritis in six patients (including one with nephritic syndrome), renal tubular acidosis in one patient, renal artery stenosis in eight patients and renal vein thrombosis in one patient. Renal biopsy was performed in five patients, three of whom revealed to have minor glomerular lesions, mild mesangial proliferative glomerulonephritis and chronic tubular-interstitial nephropathy, respectively. The other two patients underwent a second biopsy, the one with minor glomerular lesion in the first biopsy was transformed into grade III immunoglobulin A (IgA) nephropathy on Lee's glomerular grading system 6 years later, and the other one who had IgA nephropathy of grade II in the first biopsy was progressed to grade IV 2 years later. Among the nine patients with renal vascular involvement, two underwent surgery, and several received anticoagulant therapy. During the follow-up of 13 patients, the urine protein quantifications were reduced, and renal function remained relatively stable.Renal damage is relatively uncommon in BD patients. There are various clinical presentations of renal involvement in BD. Routine screening with urinalysis, serum creatinine and imaging studies should be carried out for the early diagnosis of renal involvement in BD.