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Driven by the Internet of Things (IoT), many device-free crowd density estimation techniques can roughly estimate the crowd density based on the relationship between the dynamic crowd and the variation of wireless signals. However, they cannot distinguish the path information of different persons in a fine-grained manner. In this paper, we propose Wisual, a Channel State Information (CSI) based device-free crowd density estimation framework and can visualize the distribution of people. The major challenge of Wisual is how to extract proper quantifiable indexes to distinguish the path information of multiple targets and maximize the resolution of crowd density estimation. To address this challenge, Wisual first presents a method for estimating the frequency of the CSI propagation path (FoC) for the moving persons and constructs a joint multi-feature parameter (JMFP) spectrum matrix with the other two parameters. Then the multi-target spectrum matrix is put into a proposed deep-learning model called CSI stream 3D convolutional neural networks (CS-3DCNN) for implementing crowd density estimation and the target path information differentiation. Finally, Wi-Fi imaging is implemented based on the 2D-MUSIC algorithm, which shows the approximate distribution situation of indoor persons through the spectrograms. The experimental results in typical real-world scenes demonstrate that Wisual can forecast the crowd density with 98% precision and accurately display the frequency spectra of moving persons. Besides, the results also prove the superior effectiveness, scalability, and generalizability of the proposed framework.

BACKGROUND We investigated the frequency of postoperative major complications, length of stay (LOS), and associated risk factors for primary C2-involved upper cervical chordoma through the combined anterior retropharyngeal-posterior approach. METHODS Clinical data were collected from 102 patients with primary C2-involved upper cervical chordoma treated at our institute from January 2016 to January 2021. Additionally, the Changzheng Hospital (CZH) surgical classification system was designed to describe the different anatomic types of C2 chordomas. A multivariate logistic regression analysis was performed and a multivariate Cox proportional hazards model was used to identify the risk factors associated with the occurrence of major complications and prolonged length of stay (LOS), respectively. RESULTS The incidence of major complication was 29.41% (30 of 102) in our cohort. A long surgical duration (P = 0.001), increased age (P = 0.001), more preoperative comorbidities (P = 0.008) and CZH types indicating extensive tumor involvement (P < 0.001) were identified as significant predictors of the occurrence of a major complication postoperatively. The mean LOS for the entire study population was 21.50 ± 0.64 days. The patients who experienced complications required a significant longer LOS (25.50 ± 1.26 days) than those without complications (19.83 ± 0.65; P < 0.001). The independent factors affecting LOS included age (P = 0.001), Frankel grade (P = 0.001), CZH classification (P < 0.001), and surgical duration (P = 0.001). CONCLUSIONS Patients who are older, experience longer operative duration, or have larger tumor extension have a greater risk of postoperative major complication. The LOS can be predicted by age, preoperative neurological deficit, CZH classification, surgical approach, and surgical duration. Accordingly, patients with these risk factors should be monitored and targeted with preventative measures.

Clear cell renal cell carcinoma (ccRCC) is the most common histological type of renal carcinoma and has a high recurrence rate and poor outcome. Accurate patient risk stratification based on genetic markers can help to identify the high-risk patient for early and further treatments and would promote patient survival. Long non-coding RNAs (lncRNAs) have attracted widespread attention as biomarkers for early diagnosis, treatment, and prognosis because of their high specificity and sensitivity. Here, we performed a systematic search in NCBI PubMed and found 44 lncRNAs as oncogenes, 18 lncRNAs as tumor suppressors, 199 lncRNAs as diagnostic biomarkers, 62 lncRNAs as prognostic biomarkers, and 3 lncRNAs as predictive biomarkers for ccRCC. We also comprehensively discuss the biological functions and molecular regulatory mechanisms of lncRNAs in ccRCC. Overall, the present study is a systemic analysis to assess the expression and clinical value of lncRNAs in ccRCC, and lncRNAs hold promise to be diagnostic, prognostic, and predictive biomarkers., Graphical abstract, lncRNAs play important roles in ccRCC. Here, Chao et al. write a systematic review to summarize and discuss the mechanisms, abnormal expressions, and clinical applications of lncRNAs in ccRCC, which provides a comprehensive insight into the research field of molecular regulatory mechanisms of lncRNAs in ccRCC.

A dual-mode compressed high-order-mode dipole loaded with bent stubs is presented for sidelobe suppression. When the high-order modes are introduced to achieve high gain, the sidelobes are generated due to the reverse currents along the dipole. To suppress the sidelobes, the bent stubs are used to impair the reverse currents. By bending the stubs, the sidelobe level (SLL) is decreased by 12 dB, on average. A prototype is fabricated and measured to validate the principles. The measurements show that the gains are higher than 4.4 dBi over the entire operating band of 3.26–4.075 GHz (22.2%). Within the desired n 78-band (3.3–3.8 GHz), the measured radiation patterns are consistent with simulations, and the suppressed SLL is less than −10 dB.

Lactic acid (LA) is an important raw material, and can be used as a monomer in the production of biodegradable polymer - polylactic acid, which has received extensive attention in recent years. Currently, most LA is produced by biological fermentation, and its downstream separation process is crucial in terms of production cost and high product purity. It is vital to select a proper separation technique for lactic acid production. This paper reviews the recent advances in the separation and purification of lactic acid from fermentation broth, including the separation technologies based on phase transition (including traditional precipitation method, solvent extraction, adsorption and molecular distillation), membrane separation and esterification. Based on the literature and previous studies of our group, the principles, advantages, limitations, and future prospects of these technologies are discussed. Among them, the integration process of multiple technologies and the coupling process of separation and fermentation will be the future research direction. We hope this article can provide references and ideas for the development of more efficient and advanced LA separation technology.

BACKGROUND Type 2 diabetes mellitus (T2DM) is significantly increasing worldwide, and the incidence of its complications is also on the rise. One of the main complications of T2DM is diabetic kidney disease (DKD). The glomerular filtration rate (GFR) and urinary albumin creatinine ratio (UACR) increase in the early stage. As the disease progresses, UACR continue to rise and GFR begins to decline until end-stage renal disease appears. At the same time, DKD will also increase the incidence and mortality of cardiovascular and cerebrovascular diseases. At present, the pathogenesis of DKD is not very clear. Therefore, exploration of the pathogenesis of DKD to find a treatment approach, so as to delay the development of DKD, is essential to improve the prognosis of DKD. AIM To detect the expression of tenascin-C (TNC) in the serum of T2DM patients, observe the content of TNC in the glomerulus of DKD rats, and detect the expression of TNC on inflammatory and fibrotic factors in rat mesangial cells (RMCs) cultured under high glucose condition, in order to explore the specific molecular mechanism of TNC in DKD and bring a new direction for the treatment of DKD. METHODS The expression level of TNC in the serum of diabetic patients was detected by enzyme-linked immunosorbent assay (ELISA), the protein expression level of TNC in the glomerular area of DKD rats was detected by immunohistochemistry, and the expression level of TNC in the rat serum was detected by ELISA. Rat glomerular mesangial cells were cultured. Following high glucose stimulation, the expression levels of related proteins and mRNA were detected by Western blot and polymerase chain reaction, respectively. RESULTS ELISA results revealed an increase in the serum TNC level in patients with T2DM. Increasing UACR and hypertension significantly increased the expression of TNC (P < 0.05). TNC expression was positively correlated with glycosylated haemoglobin (HbA1c) level, body mass index, systolic blood pressure, and UACR (P < 0.05). Immunohistochemical staining showed that TNC expression in the glomeruli of rats with streptozotocin-induced diabetes was significantly increased compared with normal controls (P < 0.05). Compared with normal rats, serum level of TNC in diabetic rats was significantly increased (P < 0.05), which was positively correlated with urea nitrogen and urinary creatinine (P < 0.05). The levels of TNC, Toll-like receptor-4 (TLR4), phosphorylated nuclear factor-κB p65 protein (Ser536) (p-NF-κB p65), and miR-155-5p were increased in RMCs treated with high glucose (P < 0.05). The level of TNC protein peaked 24 h after high glucose stimulation (P < 0.05). After TNC knockdown, the levels of TLR4, p-NF-κB p65, miR-155-5p, connective tissue growth factor (CTGF), and fibronectin (FN) were decreased, revealing that TNC regulated miR-155-5p expression through the TLR4/NF-κB p65 pathway, thereby regulating inflammation (NF-κB p65) and fibrosis (CTGF and FN) in individuals with DKD. In addition, metformin treatment may relive the processes of inflammation and fibrosis in individuals with DKD by reducing the levels of the TNC, p-NF-κB p65, CTGF, and FN proteins. CONCLUSION TNC can promote the occurrence and development of DKD. Interfering with the TNC/TLR4/NF-κB p65/miR-155-5p pathway may become a new target for DKD treatment.

Images and short videos that produced by social networks surge in recent years. Image/Video encoders, such as JPEG and H.264, are indispensably involved to reduce the transmitting bandwidth. However, based on our observation, the encoding parameters and their candidates are often preset to fixed values (or fixed candidate values) in real-world scenarios, which might not be the optimal bandwidth allocation strategy. Considering that, we propose an efficient group quality optimization (GQO) framework for multi-channel image/video encoding systems in which the encoding parameters are configured in a perceptual-quality-driven manner. The GQO framework employs adaptive hyper network to predict the relationships between encoding parameters, transmitting resources, and perceptual qualities, i.e., just taking the pristine image as input, the adaptive hyper network could accurately yield a global overview of perceptual quality and transmitting resource varied along encoding parameters. A step-by-step optimization procedure is then employed to search the optimal encoding parameter for each channel so that overall perceptual quality could be maximized under limited transmitting resource. Experimental results demonstrate the proposed GQO framework could achieve higher perceptual quality whilst maintain the same bandwidth compared to traditional allocation strategies where encoding parameters are preset.

OBJECTIVES Subxiphoid uniportal video-assisted thoracoscopic segmentectomy (SU-VATs) has been widely adopted because it is associated with better postoperative pain scores. Nevertheless, it also has had some limitations that have gradually been decreasing. Therefore, our goal was to evaluate the change in perioperative results with SU-VATs as the learning curve developed to outline the current status and the points that should be of future concern. METHODS Three hundred patients who underwent SU-VATs from September 2014 to May 2018 were divided chronologically into 2 groups; group 1 comprised the first 150 cases and group 2 comprised the last 150 cases. Different perioperative variables were analysed and compared between the 2 groups. In addition, the cumulative sum analysis and multivariable logistic regression were conducted to identify the cut-off point and predictors of significant improvement in operative time. RESULTS The cumulative sum analysis showed significant improvement in the operative time after the 148th case. Group 2 showed a statistically significant decrease in operative time (104.3 ± 36.7 vs 132 ± 43.1 min; P CONCLUSIONS Limitations of SU-VATs are being overcome by the improvement in the learning curve and in the expertise of the surgeons. Our future concerns should focus on examining the long-term survival rate, the oncological efficacy and the effect on quality of life.

Heightened aggression can be serious concerns for the individual and society at large and are symptoms of many psychiatric illnesses, such as post-traumatic stress disorder. The circuit and synaptic mechanisms underlying experience-induced aggression increase, however, are poorly understood. Here we find that prior attack experience leading to an increase in aggressive behavior, known as aggression priming, activates neurons within the posterior ventral segment of the medial amygdala (MeApv). Optogenetic stimulation of MeApv using a synaptic depression protocol suppresses aggression priming, whereas high-frequency stimulation enhances aggression, mimicking attack experience. Interrogation of the underlying neural circuitry revealed that the MeApv mediates aggression priming via synaptic connections with the ventromedial hypothalamus (VmH) and bed nucleus of the stria terminalis (BNST). These pathways undergo NMDAR-dependent synaptic potentiation after attack. Furthermore, we find that the MeApv-VmH synapses selectively control attack duration, whereas the MeApv-BNST synapses modulate attack frequency, both with no effect on social behavior. Synaptic potentiation of the MeApv-VmH and MeApv-BNST pathways contributes to increased aggression induced by traumatic stress, and weakening synaptic transmission at these synapses blocks the effect of traumatic stress on aggression. These results reveal a circuit and synaptic basis for aggression modulation by experience that can be potentially leveraged toward clinical interventions.SIGNIFICANCE STATEMENT Heightened aggression can have devastating social consequences and may be associated with psychiatric disorders, such as post-traumatic stress disorder. The circuit and synaptic mechanisms underlying experience-induced aggression escalation, however, are poorly understood. Here we identify two aggression pathways between the posterior ventral segment of the medial amygdala and its downstream synaptic partners, the ventromedial hypothalamus and bed nucleus of the stria terminalis that undergo synaptic potentiation after attack and traumatic stress to enhance aggression. Notably, weakening synaptic transmission in these circuits blocks aggression priming, naturally occurring aggression, and traumatic stress-induced aggression increase. These results illustrate a circuit and synaptic basis of aggression modulation by experience, which can be potentially targeted for clinical interventions.

Progesterone (Prog), a natural steroid hormone, is widely used in birth control pills and menopausal hormone replacement therapies. Phloroglucinol (SPF) and resveratrol (RSV) are also two kinds of ...

Background Subxiphoid uniportal video‐assisted thoracoscopic surgery (SVATS) is more technically challenging than intercostal uniportal video‐assisted thoracoscopic surgery (UVATS), especially in more complex procedures such as segmentectomy. We therefore aimed to investigate the worthiness of undertaking the more demanding subxiphoid approach in patients who had undergone anatomical segmentectomy for stage IA non‐small cell lung cancer (NSCLC). Methods A total of 491 patients were included in our study who had undergone anatomical segmentectomy for stage IA non‐small cell lung cancer from September 2014 to April 2018. They were divided into two groups; 278 patients in the UVATS group and 213 patients in the SVATS group. Different perioperative variables, postoperative pain, quality of life and cost were analyzed and compared between both groups. Results The SVATS group showed a significantly longer operative time (P = 0.007) and more operative blood loss than the intercostal group (P = 0.004). There was no significant difference between both groups regarding postoperative drainage, duration of chest tube, postoperative hospital stay, operative conversion or postoperative complications. The SVATS group showed a significantly lower pain score postoperatively (P

Geomagnetic matching navigation plays a vital role in the navigation and guidance field, and the construction of geomagnetic reference maps plays a significant role in geomagnetic matching navigation. This paper addresses the problem of generating high-resolution geomagnetic reference maps with limited measured data. Most existing methods can hardly satisfy the accuracy requirements. We base our study on the theory of image super-resolution reconstruction and approach this problem from the perspective of dictionary learning and sparse representation. We propose a method of sparse dictionary initialization based on prior information from rectangular harmonic analysis, and then the K-SVD algorithm is applied to the dictionary training process to improve the performance of the sparse dictionary. Three components of the geomagnetic field are considered for multi-channel sparse representation to enhance the quality of the constructed maps. Experimental results show that our proposed method outperforms other geomagnetic reference map construction methods in the reconstructed precision as well as the robustness to noise.

Chiral nanomaterials with circularly polarized luminescence (CPL) have attracted increasing attention as they show improved luminous efficiency and high contrast images in optical displays. Herein, nanotwisted fibers with bright full-color CPL are developed through the co-assembly of chiral phenylalanine derived gelators and achiral aromatic molecules. The synergic effect of π-π stacking and hydrogen bonding interactions between the chiral and achiral building blocks results in long-range ordered self-assembly, enabling the chirality of the gelators to be better transmitted to the achiral aromatic molecules. Highly ordered co-assemblies lead to the formation of supramolecular gels with high glum values which range up to 10-3. Moreover, nanoassemblies with white CPL are obtained by tuning the ratio of colorful achiral aromatic molecules in the gels. These nanotwisted gels show diverse colors or even white circularly polarized light when coated on UV chips, which enable their future application in the construction of low-cost and flexible light-emitting devices such as circularly polarized organic light-emitting diodes (CPOLEDs).

Granular computing is a method of studying human intelligent information processing, which has advantage of knowledge discovery. In this paper, we convert a classification problem of sample space into a classification problem of fuzzy clustering granular space and propose a random fuzzy clustering granular hyperplane classifier (RFCGHC) from the perspective of granular computing. Most classifiers are only used to process numerical data, RFCGHC can process not only non-numerical data, such as information granules, but also numerical data. The classic granulation method is generally serial granulation, which has high time complexity. We design a parallel distributed granulation method to enhance efficiency. First, a clustering algorithm with adaptive cluster center number is proposed, where the ratio of standard deviation between categories and standard deviation within categories is as evaluation criterion. The clusters and the optimal amount of cluster centers can be achieved by the method. On the basis of these, sample set can be divided into many subsets and each sample can be granulated by these cluster centers. Then, a fuzzy clustering granular space can be formed, where fuzzy clustering granules, fuzzy clustering granular vectors, and their operators can be defined. In order to get the optimal hyperplane in the fuzzy clustering granular space to classify these samples, we design a loss function and evaluate each category with probability by fuzzy clustering granular hyperplane. In solving the loss function, genetic algorithm based on fuzzy clustering granules is adopted. Experimental results and theoretical analysis show that RFCGHC has good performance.

Aims: To explore the interaction of TGFβ regulatory microRNAs (miRNAs) in diabetic kidney disease (DKD) with different severity by measuring the serum TGFβ regulatory miRNAs and biochemical indicators in type 2 diabetes mellitus (T2DM) patients with different urinary albumin excretion rates (UACR) and performing bioinformatics analysis. Methods: 324 T2DM patients were divided into normal albuminuria, microalbuminuria and large amount of albuminuria groups (113, 109 and 102 cases, NA, MA and LA) according to different UACR ( 300 mg/g), while the normal control group (112 cases, NC) was included. Real-time PCR, ELISA, and chemiluminescence were used to measure serum miRNAs, TGFβ1 and other biochemical indicators. Target genes of miRNA were predicted and visualized by bioinformatics. Results: Compared with NC group, HbA1c, TGFβ1, miR-217 and miR-224 in T2DM patients increased with UACR, while miR-192 and miR-216a decreased. Pearson correlation analysis indicated that miR-192 and miR-216a were negatively correlated with miR-217, miR-224, TGFβ1, HbA1c, and Ln UACR, while miR-217 and miR-224 were positively correlated with TGβ1, HbA1c, and Ln UACR. Ridge regression showed that Ln UACR was positively correlated with HbA1c, TGFβ1, miR-217, and miR-224, and negatively correlated with miR-192 and miR-216a. Bioinformatics analysis shows that the potential roles of miRNA target genes mainly revolves around PTEN, PI3K/Akt and MAPK signaling pathways. Conclusion: These findings suggested that there is a potential interaction between TGFβ regulatory miRNAs and different severity of DKD, and they may regulate the fibrosis process of DKD through PTEN, PI3K/Akt and MAPK signaling pathways. Funding Statement: This study was supported by the Higher School “High-end Talent Team Construction” of Liaoning Province (No. [2014]187), and the “Natural Science Foundation of Liaoning Province [201602862]”, Liaoning Province, P.R., China. Declaration of Interests: The authors declare no conflict of interest. Ethics Approval Statement: This study was approved by the medical ethics committee of the First Affiliated Hospital of China Medical University. All procedures were performed in accordance with the ethical standards as mentioned in the 1964 Declaration of Helsinki and its later amendments or comparable ethical standards. Informed consent was obtained from all participants included in the study

We demonstrated a beam conformal projection system for coherent combining of large-scale lasers over 2.1 km in turbulence 20 m above the ground, using the basic modules of a 19-element fiber phased array combined with coarse pointing by a gimbal mount. After coarse pointing and aberration corrections, the metrics (reflected light) of the combined beams from a basic module were best increased by 13.4 times, suggesting that our system promises the great effect of coherent combining under long-distance turbulence. Moreover, we tentatively realized coherent combining of two basic modules (38 lasers), which is the largest number of elements in a fiber laser coherent beam combination outdoors, to the best of our knowledge, with the metrics of combined beams increased by about 29 times.

Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis is an autoimmune disease of the central nervous system. Gasdermin D (GSDMD) is associated with autoimmune disorders and neuroinflammatory disorders, but its role in anti-NMDAR encephalitis is unclear. In this study, we measured serum levels of GSDMD in 42 patients with anti-NMDAR encephalitis and 25 healthy controls. Of the 42 patients, 17 had follow-up evaluation of GSDMD levels and modified Rankin scale (mRS) scores at 3 months. Association of GSDMD with anti-NMDAR encephalitis and its clinical parameters were evaluated. Serum GSDMD levels were significantly higher in patients with anti-NMDAR encephalitis than in healthy controls (p = 0.002, padjusted = 0.009), especially in males (p = 0.001, padjusted = 0.022). This was also evident in patients with severe impairment (mRS >3 vs mRS ≤3; p

Chimeric antigen receptor T (CAR-T) cell therapy has achieved remarkable clinical efficacy in treatment of many malignancies especially for B-cell hematologic malignancies. However, the application of CAR-T cells is hampered by potentially adverse events, of which cytokine release syndrome (CRS) is one of the severest and the most studied. Local cytokine-release syndrome (L-CRS) at particular parts of the body has been reported once in a while in B-cell lymphoma or other compartmental tumors. The underlying mechanism of L-CRS is not well understood and the existing reports attempting to illustrate it only involve compartmental tumors, some of which even indicated L-CRS only happens in compartmental tumors. Acute lymphoblastic leukemia (ALL) is systemic and our center treated a B-cell ALL patient who exhibited life threatening dyspnea, L-CRS was under suspicion and the patient was successfully rescued with treatment algorithm of CRS. The case is the firstly reported L-CRS related to systemic malignancies and we tentatively propose a model to illustrate the occurrence and development of L-CRS of systemic malignancies inspired by the case and literature, with emphasis on the new recognition of L-CRS.

The COVID-19 epidemic in 2020 has caused great harm and loss. Finance and taxation departments have timely introduced a series of new policies to support the "six guarantees" and "six stability", which have highlighted the incentive effect. The research shows that China should establish a tax emergency mechanism, improve the public fiscal and tax emergency management system, and constantly improve the prevention and control ability of public emergencies such as epidemic. In view of this, from the perspectives of sudden public health events and to control the new crown outbreak response design and management as the research object, tax for a year new crown epidemic prevention and control of tax design and management of systemic and forward-looking, issues of tax fairness and justice are put forward to strengthen the emergency duty politics top-level design, optimize the content of tax, pay attention to the combination of tax, improve the emergency countermeasures and suggestions such as tax measures.

Background Hyperglycaemia and diabetes have become major public health problems worldwide. There is increasing evidence that minerals and the vitamin B group might play specific roles in hyperglycaemia and the pathogenesis and progression of diabetes or metabolic complications. Objectives The main aim of this study is to investigate the effect of mineral and vitamin B group supplementation on the blood glucose levels of different populations. Design This was a cross-sectional study. Data from the National Health and Nutrition Examination Survey (NHANES) 2007-2014 were used in this study. A total of 8,322 participants (4,169 men and 4,153 women) were included in the study. Quantile regression (QR) was performed to identify the influence of mineral and vitamin B group intake on the level of fasting plasma glucose (FPG) in individuals in different quantiles of FPG. Results After adjusting for age, income, education, race, smoking, and alcohol consumption, FPG had a negative association with folic acid in individuals with normal or high FPG, with calcium in individuals with normal FPG, and with magnesium in males. FPG was negatively associated with folic acid and calcium in individuals with normal FPG, and magnesium in most of the quantiles for females. Discussion Hyperglycaemia and diabetes are currently becoming popular research topics. However, little is known about how the whole continuum of blood glucose is associated with commonly researched nutrient supplementation in terms of hyperglycaemia and diabetes. Conclusions The intake of calcium, folic acid and magnesium was negatively associated with blood glucose levels in individuals in different quantiles of FPG. Appropriate prevention and treatment strategies should be developed for people with different blood glucose levels.

The trace minerals zinc, copper, iron, and selenium are essential micronutrients, and because of their antioxidant activity, they are hypothesized to improve cardiovascular health. However, their associations with different risk levels for cardiovascular diseases are less clear. Data from the National Health and Nutrition Examination Survey 2007-2014 were used. In this study, the ratio of total cholesterol to high-density lipoprotein cholesterol (TC/HDL-C) was used as a risk marker for cardiovascular disease, and a ratio ≥ 5 was considered to indicate high risk. A total of 7597 adults (3673 men and 3924 women) were included, and 15.9% of the participants had a high risk of cardiovascular disease. Using quantile regression analysis, we found the negative correlation between zinc, copper, iron, and selenium intakes and TC/HDL-C. The effects of copper and zinc were enhanced with increasing quantiles of risk levels. In addition, the difference in the associations of the trace minerals was sex-dependent. The correlation between iron and cardiovascular risk in males was stronger than those in females, while that of copper was weaker than that in females. Moreover, a significant nonlinear relationship between selenium and the TC/HDL-C ratio was only found in females, and this relationship was U-shaped. Our findings suggest that among healthy adults in the US, zinc, copper, iron, and selenium intakes are inversely associated with cardiovascular disease risk, and the effect is enhanced with increasing quantiles of risk levels, with magnitudes differing by sex. Therefore, trace minerals may have the ability to prevent cardiovascular disease.

Context Gonadotropin-releasing hormone analogues (GnRHa) and recombinant human growth hormone (rhGH) have been widely used to treat idiopathic central precocious puberty (CPP) or early and fast puberty (EFP). However, large-scale studies to evaluate the treatment effects on final adult height (FAH) are still lacking. Objective To assess the effects of long-term treatment for CPP/EFP on FAH and its main influencing factors. Design and Setting Retrospective, multicenter observational study from 1998 to 2017. Participants Four hundred forty-eight Chinese girls with CPP/EFP received GnRHa and rhGH treatment (n = 118), GnRHa alone (n = 276), or no treatment (n = 54). Main Outcome Measures FAH, target height (Tht), and predictive adult height (PAH). Results The height gain (FAH–PAH) was significantly different among the GnRHa and rhGH treatment, GnRHa alone, and no treatment groups (P < 0.05; 9.51 ± 0.53, 8.07 ± 0.37, and 6.44 ± 0.91 cm, respectively). The genetic height gain (FAH–Tht) was 4.0 ± 0.5 cm for the GnRHa + rhGH group and 2.0 ± 0.27 cm for the GnRHa group, while the control group reached their Tht. In addition, 5 critical parameters derived from PAH, bone age, and Tht, showed excellent performance in predicting which patients could gain ≥5 cm (FAH–PAH), and this was further validated using an independent study. Conclusions The overall beneficial effect of GnRHa + rhGH or GnRHa on FAH was significant. The control group also reached their genetic target height. Clinicians are recommended to consider both the potential gains in height and the cost of medication.

Hypertension has become a major public health challenge, and previous studies have observed associations between hypertension and sodium, potassium, and sodium to potassium ratio. However, little is known about how the whole continuum of blood pressure (BP) is related to dietary intake of sodium and potassium. This study aims to examine quantile-specific associations of blood pressure with dietary intake of sodium and potassium. It is based on national-level, cross sectional data for US adults aged ≥18 years from the National Health and Nutrition Examination Survey (NHANES) 2007-2014. A total of 11,095 eligible subjects were included in this study. Quantile regression (QR) models were used to investigate distributional effects in the dietary intake of sodium and potassium on blood pressure by adjusting the confounding factors. We observed some evidence indicating distributional effects of dietary intake of sodium and potassium on systolic blood pressure (SBP) and diastolic blood pressure (DBP). QR showed that the consumption of sodium was positively associated with SBP (P10) and DBP (P10) in males, and positively associated with DBP (P80-P90) alone in females. Intake of potassium was, however, negatively associated with SBP (P20-P30, P70-P80) in males, and also negatively associated with SBP (P10-P80) and DBP(P20-P50) in females. Sodium to potassium ratio was positively associated with SBP (P10-P50, P80) and DBP (P70-P90) in males, and was positively associated with SBP(P10-P70, P90) in females. QR models provided a more detailed view on associations of SBP and DBP with the dietary intake of sodium and potassium and uncovered the quantile-related patterns.

Measurement of visual quality is of significant importance to many image processing tasks. The target of image quality assessment (IQA) is to design effective computational models in order to automatically predict the quality of images in a perceptual consistent manner. We propose a full reference (FR) IQA metric based on deep convolutional neural networks and information-theoretic IQA framework. The previous proposed PAVIF is incorporated into the powerful convolutional network VGG19. Both the reference and distorted image are fed into the VGG19, and the output of each channels in the first 35 layers are utilized to measure the perceptual quality difference. The final objective score is obtained by averaging all the channel-wise quality scores. Experimental results on TID2013 and LIVE image database demonstrate that our proposed metric is competitive with many state-of-the-art IQA metrics.

Objective: This study aims to identify the prevalence of bacterial vaginosis (BV) and cervicitis among 511 female workers attending gynecological examination and determine the risk factors for bacterial vaginosis and cervicitis. Materials and methods: This study enrolled 511 female workers attending gynecological examination in Changchun Obstetrics-Gynaecology Hospital in Changchun city from January 1,2015 to December 31, 2015. A structured questionnaire was designed to survey the general demographic characteristics, living habits and health status of the participants. Gynecological examinations were performed to assess the presence of bacterial vaginosis and cervicitis. Univariate and multivariate logistic regression analysis were used to identify risk factors associated with bacterial vaginosis and cervicitis. Results: Of 511 female workers (median age, 40 years) were enrolled in our study, the prevalence of BV was 5.3%, and the prevalence of cervicitis was 22.1%. In multivariable analysis, women of specific ethnic groups had a higher odds ratio of BV (OR = 3.332, 95%CI 1.014–10.955) and premenopausal women had a reduced odds ratio of BV(OR = 0.162, 95%CI 0.061–0.425). Higher levels of education were associated with a reduced odds ratio of cervicitis (OR = 0.248, 95%CI 0.080–0.772). Conclusions: BV and cervicitis were both common among female workers. Improving women's educational level should be concerned so as to reduce the prevalence of cervicitis. Keywords: Bacterial vaginosis, Cervicitis, Epidemiology

High-power and high-quality pulsed fiber lasers with low repetition frequency are widely applied to various fields ranging from basic science to industrial applications. Coherent beam combining (CBC) is a significant method to obtain that beam, but few methods used for large-scale CBC of pulsed fiber lasers with low repetition frequency were presented. To realize it, a new method based on a continuous carrier was designed, where the continuous wave worked as the beacon signal, and the stochastic parallel gradient descent algorithm was employed for phase locking and tilt correction. The beam combining experiment revealed that the combining efficiency of two lasers with a repetition frequency of 15 kHz and a pulse width of 100 ns was 95%, and the fringe contrast in the center of the far-field spot was improved about three times. This method promises to be furtherly applied to combine the pulsed lasers with lower repetition frequency and narrower pulse width. These results pave the way for large-scale CBC of high-power and high-quality pulsed fiber lasers.

Google deployed several TPU generations since 2015, teaching us lessons that changed our views: semi-conductor technology advances unequally; compiler compatibility trumps binary compatibility, especially for VLIW domain-specific architectures (DSA); target total cost of ownership vs initial cost; support multi-tenancy; deep neural networks (DNN) grow 1.5X annually; DNN advances evolve workloads; some inference tasks require floating point; inference DSAs need air-cooling; apps limit latency, not batch size; and backwards ML compatibility helps deploy DNNs quickly. These lessons molded TPUv4i, an inference DSA deployed since 2020.

Introduction Endovascular therapy is the standard of care for severe acute ischemic stroke caused by large‐vessel occlusion in the anterior circulation, but there is a debate on the optimal anesthetic approach during this therapy. Meta‐analyses of observational studies suggest that general anesthesia increases disability and death compared with conscious sedation However, their results are conflicting. This meta‐analysis study was performed to assess the relationship between the effects of general anesthesia compared to conscious sedation during endovascular therapy for acute ischemic stroke. Methods Through a systematic literature search up to August 2020, 18 studies included 4,802 subjects at baseline with endovascular therapy for acute ischemic stroke and reported a total of 1,711 subjects using general anesthesia and 1,961 subjects using conscious sedation were found. They recorded relationships between the effects of general anesthesia compared to conscious sedation during endovascular therapy for acute ischemic stroke. Odds ratio (OR) or Mean differences (MD) with 95% confidence intervals (CIs) were calculated between the effect of general anesthesia compared to conscious sedation during endovascular therapy for acute ischemic stroke using the dichotomous or contentious methods with a random or fixed‐effect model. Results No significant difference were found between general anesthesia and conscious sedation during the endovascular therapy for acute ischemic stroke in functional independence at 90 days (OR, 0.78; 95% CI, 0.44–1.40, p = 40); successful recanalization at 24 hr (OR, 1.23; 95% CI, 0.62–2.41, p = 55); mortality at 90 days (OR, 1.36; 95% CI, 0.83–2.24, p = .22); interventional complication (OR, 1.24; 95% CI, 0.76–2.02, p = .40); symptomatic intracranial hemorrhage (OR, 0.64; 95% CI, 0.41–0.99, p = .05); aspiration pneumonia (OR, 0.96; 95% CI, 0.58–1.58, p = .87); and National Institute of Health Stroke Scale score after 24 hr (MD, 0.38; 95% CI, −1.15–1.91, p = .62); with relative relationship favoring general anesthesia only in decreasing the symptomatic intracranial hemorrhage. Conclusions General anesthesia has no independent relationship compared to conscious sedation during the endovascular therapy for acute ischemic stroke with a relative relationship favoring general anesthesia only in decreasing the symptomatic intracranial hemorrhage. This relationship encouraged us to recommend either anesthetic strategy during the endovascular therapy for acute ischemic stroke with no possible fear of higher complication., What's already known about this topic?Endovascular therapy is the standard of care for severe acute ischemic stroke caused by large‐vessel occlusion in the anterior circulation, but there is a debate on the optimal anesthetic approach during this therapy. Meta‐analyses of observational studies suggest that general anesthesia increases disability and death compared with conscious sedation However, their results are conflicting. This meta‐analysis study was performed to assess the relationship between the effects of general anesthesia compared to conscious sedation during endovascular therapy for acute ischemic stroke.What does this article add?General anesthesia has no independent relationship compared to conscious sedation during the endovascular therapy for acute ischemic stroke with a relative relationship favoring general anesthesia only in decreasing the symptomatic intracranial hemorrhage.This relationship encouraged us to recommend either anesthetic strategy during the endovascular therapy for acute ischemic stroke with no possible fear of higher complication.

When the data sources of network assets collected by network detection technology need to use the traditional machine learning technology for research and analysis, it requires to carry out a comprehensive numerical conversion. However, this kind of data presents as a collection of various heterogeneous features and complex textual data. When numerical conversion is performed in order to be trained by machine learning algorithms, there is a lack of unified and comprehensive rules for the conversion of various heterogeneous features. At the same time, the numerical transformation of text features lacks rationality and validity. So the application of machine learning to network asset data is greatly restricted. In response to the above problems, this paper proposes a mathematical expression model for network asset data. Firstly, it defines the rules of timestamp, segment transfer method etc to convert various heterogeneous features, and then constructs the AWK (Adaptive-Word2vec-Kmeans) algorithm to convert the complex text data into numerical values. Based on the expression model, the data source obtained by Nmap is processed to a trainable data set. The full feasibility and effectiveness of the model are proved through experiments, and the converted data set is available and is more challenging.

Background: Although clonidine and dexmedetomidine are used as alpha-2 agonists to improve the quality and duration of blockade induced by local anesthetics, no study has been reported to compare their associated adverse events in local anesthesia. The aim of this study is to compare the adverse events associated with the adjuvant use of dexmedetomidine and clonidine in local anesthesia.Methods: A comprehensive search was performed to retrieve any reported adverse event associated with adjuvant use of dexmedetomidine and clonidine in local anesthesia from published literature up to 1 July 2020. Assessment of the quality of included studies was performed by the Jadad score. A comparison of any reported adverse event was made between interventions by pooling data from studies using a direct meta-analysis technique. Dichotomous outcomes were summarized as risk ratios. The review was performed according to PRISMA guideline.Results: From 121 articles retrieved from the search finally 14 articles including 1,120 patients had eligibility criteria for including in the meta-analysis. No significant difference was observed between bradycardia/hypotension (OR = 1.17; 95 % CI = 0.66–2.10; P = 0.580; I2 = 53.78 %, P = 0.027), nausea/vomiting (OR = 0.91; 95% CI = 0.59-1.42; P = 0.706; I2 = 0.0 %, P = 0.940) dizziness/headache (OR = 1.10; 95% CI = 0.44–2.75; P = 0.831; I2 = 0.0 %, P = 0.882) shivering (OR = 0.95 % CI = 0.50–1.66; P = 0.831; I2 = 0.0 %, P = 0.920) and dry mouth (OR = 1.00; 95 % CI = 0.50–1.96; P = 0.996; I2 = 0.0%, P = 0.900). No significant difference was observed in subgroup comparison of adverse events in the intravenous or local adjuvant use of the study drugs (p > 0.05).Conclusion: There is no difference in adverse events associated with the intravenous or local adjuvant use of dexmedetomidine and clonidine in local anesthesia.

Measuring the concentration and viability of fungal cells is an important and fundamental procedure in scientific research and industrial fermentation. In consideration of the drawbacks of manual cell counting, large quantities of fungal cells require methods that provide easy, objective and reproducible high‐throughput calculations, especially for samples in complicated backgrounds. To answer this challenge, we explored and developed an easy‐to‐use fungal cell counting pipeline that combined the machine learning‐based ilastik tool with the freeware ImageJ, as well as a conventional photomicroscope. Briefly, learning from labels provided by the user, ilastik performs segmentation and classification automatically in batch processing mode and thus discriminates fungal cells from complex backgrounds. The files processed through ilastik can be recognized by ImageJ, which can compute the numeric results with the macro ‘Fungal Cell Counter’. Taking the yeast Cryptococccus deneoformans and the filamentous fungus Pestalotiopsis microspora as examples, we observed that the customizable software algorithm reduced inter‐operator errors significantly and achieved accurate and objective results, while manual counting with a haemocytometer exhibited some errors between repeats and required more time. In summary, a convenient, rapid, reproducible and extremely low‐cost method to count yeast cells and fungal spores is described here, which can be applied to multiple kinds of eucaryotic microorganisms in genetics, cell biology and industrial fermentation.

Background The current study aims to explore a noninvasive molecular marker that can evaluate the therapeutic effect and prognosis of gestational diabetes mellitus (GDM). Methods Differentially expressed miRs were identified using microarray assay and the findings were verified using RT-PCR. Receiver operating characteristic (ROC) was performed to explore the diagnostic value of serum and urine miR-429 in GDM women. The relationship between miR-429 and homeostatic model assessment-insulin resistance (HOMA-IR) was analyzed using Pearson's correlation assay. Dual luciferase assay and western blot were carried out to explore the possible target gene of miR-429. Results Microarray assay and RT-PCR showed that miR-429 was found to be significantly increased in both serum and urine samples of GDM women compared with those of normal blood glucose pregnancy group (NGT). Also, the expression of miR-429 in serum and urine was positively correlated with HOMA-IR. ROC analysis showed that both serum and urine miR-429 could screen GDM from NGT. Furthermore, dual luciferase reporter and western blot assay indicated that insulin receptor substrate- (IRS-) 1 was a target gene of miR-429. Conclusions In summary, the increase of serum and urine miR-429 level is a risk factor of insulin resistance in pregnant women with GDM.

Background The current study aims to investigate the expression and diagnostic value of ADAM12 in patients with cervical cancer before general anesthesia. Methods Seventy-eight cases of cervical cancer patients were included in the present study. RT-PCR and western blot were used to detect the expression of ADAM12 in cervical cancer tissues and adjacent tissues. Meanwhile, the expression of secretory ADAM12 in serum of cervical cancer patients and healthy people was detected by ELISA. The relationship between ADAM12 expression and prognosis of cervical cancer patients was analyzed. ROC analysis was carried out to explore the diagnostic value of ADAM12. Results Our data showed that the expression of ADAM12 mRNA and protein in cervical cancer tissues was significantly up-regulated compared with the adjacent tissues. ELISA assay showed that the content of ADAM12 in serum of cervical cancer patients was significantly higher than that of healthy people. Furthermore, ADAM12 expression was closely related to tumor invasion, TNM stage, lymph node metastasis and tumor differentiation. Kaplan-Meier survival analysis showed that the overall survival rate of patients with high ADAM12 was significantly lower than that of patients with low ADAM12 expression. The AUC of ADAM12, CEA, CA125, and SCC for cervical cancer was 0.893, 0.510, 0.769 and 0.550, respectively, while the highest value of AUC was 0.946 by the combination of the four indexes. Conclusions In summary, increased expression of ADAM12 in cervical cancer patients can be used as an independent prognostic marker.

Background:Enterococcus faecalis has been commonly considered as one of the major pathogens of the urinary tract infection (UTI) in human host worldwide, whereas the molecular characteristics of E. faecalis clinical isolates from the patients with UTI in China remains seldomly reported. This study aimed to investigate the resistance mechanism, molecular characteristics and risk factors of E. faecalis clinical isolates from patients with UTI in China.Methods: A total of 115 non-duplicated E. faecalis clinical isolates from patients with UTI were retrospectively collected in a tertiary hospital in China and their clinical data was further analyzed. The linezolid and tedizolid susceptibility were determined by agar dilution. The resistance genes, including erm(A), erm(B), erm(C), tet(M), optrA, cfr, cfr(B), poxtA, and MLST-based housekeeping genes were investigated by PCR.Results: In 115 non-duplicated E. faecalis clinical isolates from the patients with UTI in this hospital setting, the frequency of linezolid or tedizolid-resistant/intermediate isolates were 22.61 and 13.04%, respectively, and the frequency of linezolid-resistant/intermediate E. faecalis clinical isolates carrying with erm(A) were 86%. Among the five linezolid-resistant E. faecalis strains found in this study, three optrA-positive isolates and the other two linezolid-resistant strains were G2576U genetic mutations in the V domain of the 23S rRNA genes. The ST clonality analysis indicated that 31.42% (11/35) of ST16 E. faecalis UTI isolates were not susceptible to linezolid. Moreover, the univariable analysis indicated that the high risk factors of linezolid-resistant/intermediate E. faecalis infections involved the indwelling catheter, trachea cannula catheter and the carriage of erm(A) or optrA. Furthermore, the indwelling catheter and trachea cannula catheter were demonstrated as the independent predictors of linezolid-resistant/intermediate E. faecalis strains in patients with UTI by multivariable analysis.Conclusion: Linezolid-resistant/intermediate E. faecalis associated with urinary tract infections of patients in this hospital setting from China might be explained by the high carriage frequency of optrA genes and moreover, indwelling catheter and trachea cannula should be considered as the independent predictors of linezolid-resistant/intermediate E. faecalis infections. The transmission mechanism of linezolid-resistant/intermediate E. faecalis in this hospital setting should be further studied.

In recent decades, metasurfaces have emerged as an exotic and appealing group of nanophotonic devices for versatile wave regulation with deep subwavelength thickness facilitating compact integration. However, the ability to dynamically control the wave–matter interaction with external stimulus is highly desirable especially in such scenarios as integrated photonics and optoelectronics, since their performance in amplitude and phase control settle down once manufactured. Currently, available routes to construct active photonic devices include micro-electromechanical system (MEMS), semiconductors, liquid crystal, and phase change materials (PCMs)-integrated hybrid devices, etc. For the sake of compact integration and good compatibility with the mainstream complementary metal oxide semiconductor (CMOS) process for nanofabrication and device integration, the PCMs-based scheme stands out as a viable and promising candidate. Therefore, this review focuses on recent progresses on phase change metasurfaces with dynamic wave control (amplitude and phase or wavefront), and especially outlines those with continuous or quasi-continuous atoms in favor of optoelectronic integration.

Background. Subclinical mastitis is one of the most common reproductive diseases in dairy cows. Qicao Rukang powder is a Chinese herbal compound mixture developed to treat subclinical mastitis in dairy cows by clearing heat, tonifying qi, and improving blood and milk circulation. The study aimed to determine the anti-inflammatory and antimicrobial efficacy of Qicao Rukang powder in treating subclinical mastitis in dairy cows at the manufacturer’s recommended dose. Methods. Forty (40) Holstein dairy cows with milk somatic cell count (SCC) ≥ 500,000 cellml−1 were randomly assigned to treatment (n = 20) and control (n = 20) groups. Cows in the treatment group were administered with 150 grams of Qicao Rukang powder orally for five days, while the control group received no treatment. The authors analyzed the milk SCC, milk composition, bacteriological cure rate of the drug, blood serum levels of interleukins (IL-6, IL-1β, and IL-8), tumor necrosis factor (TNF-α), and interferon gamma (INF-γ) quantified by using ELISA kits on day 0 and day 6. Results. SCC of the treated group reduced very significantly ( P < 0.001 ) compared with the control group. Milk fat, protein, and total solids increased significantly ( P < 0.05 ) after treatment, whereas lactose and milk urea nitrogen levels showed a nonsubstantial rise. The bacteriological cure percentage of Qicao Rukang powder therapy was 77.8% for Aeromonas spp. (14 of 18), 75% for Pseudomonas spp. (6 of 8), and 100% for Acinetobacter spp. and Enterococcus spp. giving 81.8% cured for all isolates (27 of 33). Only 26.7% (8 of 30) of untreated cows recovered spontaneously. Analysis of IL-1β, IL-6, and INF-γ in the blood serum of the treated group revealed a significant decrease ( P < 0.01 ) with nonsignificant rises in TNF-α and IL-8 levels. Conclusions. This research demonstrates that Qicao Rukang powder has potent antibacterial and anti-inflammatory actions, supporting its use as an alternative to conventional treatment for subclinical dairy cow mastitis. However, further investigations will be required to explain the role of the active ingredients and the mechanisms involved in the pharmacological activities of the Qicao Rukang powder.

Emerging edge computing platforms often contain machine learning (ML) accelerators that can accelerate inference for a wide range of neural network (NN) models. These models are designed to fit within the limited area and energy constraints of the edge computing platforms, each targeting various applications (e.g., face detection, speech recognition, translation, image captioning, video analytics). To understand how edge ML accelerators perform, we characterize the performance of a commercial Google Edge TPU, using 24 Google edge NN models (which span a wide range of NN model types) and analyzing each NN layer within each model. We find that the Edge TPU suffers from three major shortcomings: (1) it operates significantly below peak computational throughput, (2) it operates significantly below its theoretical energy efficiency, and (3) its memory system is a large energy and performance bottleneck. Our characterization reveals that the one-size-fits-all, monolithic design of the Edge TPU ignores the high degree of heterogeneity both across different NN models and across different NN layers within the same NN model, leading to the shortcomings we observe. We propose a new acceleration framework called Mensa. Mensa incorporates multiple heterogeneous edge ML accelerators (including both on-chip and near-data accelerators), each of which caters to the characteristics of a particular subset of NN models and layers. During NN inference, for each NN layer, Mensa decides which accelerator to schedule the layer on, taking into account both the optimality of each accelerator for the layer and layer-to-layer communication costs. Averaged across all 24 Google edge NN models, Mensa improves energy efficiency and throughput by 3.0x and 3.1x over the Edge TPU, and by 2.4x and 4.3x over Eyeriss~v2, a state-of-the-art accelerator., Comment: This work appears at the 30th International Conference on Parallel Architectures and Compilation Techniques (PACT 2021). arXiv admin note: substantial text overlap with arXiv:2103.00768

The ever-increasing morbidity and mortality of clear cell renal cell carcinoma (ccRCC) urgently demands updated biomarkers. MicroRNAs (miRNAs) are involved in diverse biological processes such as cell proliferation, differentiation, apoptosis by regulating their target genes’ expression. In kidney cancers, miRNAs have been reported to be involved in tumorigenesis and to be the diagnostic, prognostic, and therapeutic response biomarkers. Here, we performed a systematic analysis for ccRCC-related miRNAs as biomarkers by searching keywords in the NCBI PubMed database and found 118 miRNAs as diagnostic biomarkers, 28 miRNAs as prognostic biomarkers, and 80 miRNAs as therapeutic biomarkers in ccRCC. miRNA-21, miRNA-155, miRNA-141, miRNA-126, and miRNA-221, as significantly differentially expressed miRNAs between cancer and normal tissues, play extensive roles in the cell proliferation, differentiation, apoptosis of ccRCC. GO and KEGG enrichment analysis of these miRNAs’ target genes through Metascape showed these target genes are enriched in Protein Domain Specific Binding (GO:0019904). In this paper, we identified highly specific miRNAs in the pathogenesis of ccRCC and explored their potential applications for diagnosis, prognosis, and treatment of ccRCC.

Xin Zhou is a co-corresponding author of this published article and the affiliation should read "Xin Zhou1, 3".

In the digital age, malicious attacks have caused incalculable losses to individuals and enterprises. The traditional centralized preservation of threat intelligence is easy to be attacked, resulting in malicious tampering of intelligence, unequal threat intelligence, and low efficiency of intelligence transmission channel. Based on the blockchain technology, this paper registers the threat intelligence, designs the smart contract for the point-to-point transmission and sharing of threat intelligence, so as to ensure the effectiveness, credibility and security of intelligence transmission, and realize a decentralized threat intelligence deposit certificate and sharing system.

Background Preoperative identification of hepatocellular carcinoma (HCC), combined hepatocellular-cholangiocarcinoma (cHCC-ICC), and intrahepatic cholangiocarcinoma (ICC) is essential for treatment decision making. We aimed to use ultrasound-based radiomics analysis to non-invasively distinguish histopathological subtypes of primary liver cancer (PLC) before surgery. Methods We retrospectively analyzed ultrasound images of 668 PLC patients, comprising 531 HCC patients, 48 cHCC-ICC patients, and 89 ICC patients. The boundary of a tumor was manually determined on the largest imaging slice of the ultrasound medicine image by ITK-SNAP software (version 3.8.0), and then, the high-throughput radiomics features were extracted from the obtained region of interest (ROI) of the tumor. The combination of different dimension-reduction technologies and machine learning approaches was used to identify important features and develop the moderate radiomics model. The comprehensive ability of the radiomics model can be evaluated by the area under the receiver operating characteristic curve (AUC). Results After digitally processing tumor ultrasound images, 5,234 high-throughput radiomics features were obtained. We used the Spearman + least absolute shrinkage and selection operator (LASSO) regression method for feature selection and logistics regression for modeling to develop the HCC-vs-non-HCC radiomics model (composed of 16 features). The Spearman + statistical test + random forest methods were used for feature selection, and logistics regression was applied for modeling to develop the ICC-vs-cHCC-ICC radiomics model (composed of 19 features). The overall performance of the radiomics model in identifying different histopathological types of PLC was moderate, with AUC values of 0.854 (training cohort) and 0.775 (test cohort) in the HCC-vs-non-HCC radiomics model and 0.920 (training cohort) and 0.728 (test cohort) in the ICC-vs-cHCC-ICC radiomics model. Conclusion Ultrasound-based radiomics models can help distinguish histopathological subtypes of PLC and provide effective clinical decision making for the accurate diagnosis and treatment of PLC.

BACKGROUND AND PURPOSE Autoantibodies targeting the GluN1(NR1) subunit of the anti-N-methyl-D-aspartate receptor (NMDAR) cause encephalitis. Although it has been shown that anti-NMDAR encephalitis is associated with human leukocyte antigen (HLA) loci, susceptibility genes for the disease outside the HLA loci remain unidentified. In this study, we aimed to explore the association of anti-NMDAR encephalitis with non-HLA genes. METHODS Two Chinese anti-NMDAR encephalitis cohorts from Han populations were recruited for this study. The North Chinese case-control set consisted of 98 patients and 460 controls, while the South Chinese case-control set included 78 patients and 541 controls. All participants were genotyped for 28 single nucleotide polymorphisms that are associated with autoimmune disorders or infectious diseases. RESULTS In two independent case-control sets, we identified significant associations of anti-NMDAR encephalitis with IRF7 rs1131665 (odds ratio [OR] 3.34, 95% confidence interval [CI] 1.99-5.63; P

Traumatic stress can lead to heightened aggression which may be a symptom of psychiatric diseases such as PTSD and intermittent explosive disorder. The medial amygdala (MeA) is an evolutionarily conserved subnucleus of the amygdala that regulates attack behavior and behavioral responses to stressors. The precise contribution of the MeA in traumatic stress-induced aggression, however, requires further elucidation. In this study, we used foot shock to induce traumatic stress in mice and examine the mechanisms of prolonged aggression increase associated with it. Foot shock causes a prolonged increase in aggression that lasts at least one week. In vivo electrophysiological recordings revealed that foot shock induces potentiation of synapses formed between the MeA and the ventromedial hypothalamus (VmH) and bed nucleus of the stria terminalis (BNST). This synaptic potentiation lasts at least one week. Induction of synaptic depotentiation with low-frequency photostimulation (LFPS) immediately after foot shock suppresses the prolonged aggression increase without affecting non-aggressive social behavior, anxiety-like and depression-like behaviors, or fear learning. These results show that potentiation of the MeA-VmH and MeA-BNST circuits is essential for traumatic stress to cause a prolonged increase in aggression. These circuits may be potential targets for the development of therapeutic strategies to treat the aggression symptom associated with psychiatric diseases.

In recent years, the number of malware continues to grow, which has a huge impact on individuals, enterprises and so on. In this paper, a method of malware classification and sharing based on Threat Intelligence is proposed, which transforms malware into gray-scale image and uses broad learning system to classify malware. we design a malware intelligence storage system based on IPFS and Ethereum smart contract. For classified intelligence, it is uploaded by user node to realize the prevention from single node to full node. Experiments show that the performance of this algorithm is better than other classification algorithms, and the decentralized storage system based on blockchain is more secure and efficient.

Two rare cases of Chinese female patients with influenza B virus infection complicated with both fulminant pneumonia and septicemia caused by Panton-Valentine leukocidin(PVL) positive methicillin-sensitive Staphylococcus aureus (MASS) were reported for the first time in China through next-generation sequencing (NGS). An increasing body of evidence indicates that co-infection with influenza B virus and bacterial pneumonia is often fatal. Rapid and precise identification of the co-infection bacteria can guide the selection of treatment for patients with influenza virus infection in the clinical setting. In this study, next-generation sequencing (NGS) was applied for the rapid diagnosis of these two cases. Despite the unfavorable survival outcome of these patients, the application of next-generation sequencing showed promise as a diagnostic tool for the rapid diagnosis of unknown pathogens in patients with bacterial pneumonia and sepsis. This method can guide the administration of medications in such patients.

The nuclear factor κB (NF-κB) signaling cascade has been implicating in a broad range of biological processes, including inflammation, cell proliferation, differentiation, and apoptosis. The past three decades have witnessed a great progress in understanding the impact of aberrant NF-κB regulation on human autoimmune and inflammatory disorders. In this review, we discuss how aberrant NF-κB activation contributes to multiple sclerosis, a typical inflammatory demyelinating disease of the central nervous system, and its involvement in developing potential therapeutic targets.

InP quantum dots (QDs) are considered as one of the most promising candidates of Cd- or Pb-based QDs in the applications of display and lighting. However, the performances of blue InP QDs and the corresponding light emitting devices (LEDs) are far inferior to those of their red and green counterparts, which strongly limits the development of InP QD based LEDs (QLEDs) technology. Here, high quantum yield (∼81%) and large size (∼7.0 ± 0.9 nm) InP/GaP/ZnS//ZnS QDs with a thick shell have been successfully synthesized by a shell engineering approach, and the corresponding QLEDs exhibit a record brightness and external quantum efficiency of 3120 cd·m-2 and 1.01%, respectively. Large-scale density functional theory calculations on thousands-of-atoms QDs indicate that thicker-shell ones favor a more balanced carrier injection in the QD film and simultaneously suppress the FRET between closely packed QDs, which collectively contribute to the improved blue device performances.