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It is well-established that the lack of accurate diagnostic modalities for prostate cancer (PCa) leads to overdiagnosis and overtreatments. Accordingly, this study aimed to assess the value of urine-derived exosomal prostate-specific membrane antigen (PSMA) as a biomarker for the diagnosis of PCa and clinically significant prostate cancer (csPCa).A total of 284 urine samples were collected from patients after the digital rectal examination (DRE). Urinary exosomes were extracted using commercial kits, and urine-derived exosomal PSMA was determined via enzyme-linked immunosorbent assay (ELISA). Evaluation of diagnostic accuracy of PSMA was performed via receiver operating characteristic (ROC) analysis, decision curve analysis (DCA), and waterfall plots.We found that urine-derived exosomal PSMA was significantly higher in PCa and csPCa than in benign prostatic hyperplasia (BPH) and BPH + non-aggressive prostate cancer (naPCa) groups (P 0.001). Furthermore, the urine-derived exosome PSMA yielded area under the ROC curve (AUC) values of 0.876 and 0.826 for detecting PCa and csPCa, respectively, suggesting better performance than traditional clinical biomarkers. Besides, when the cutoff value used corresponded to a sensitivity of 95%, urine-derived exosomal PSMA could avoid unnecessary biopsies in 41.2% of cases and missed only 0.7% of csPCa cases.Urine-derived exosomal PSMA exhibits a good diagnostic yield for detecting PCa and csPCa. Findings of the present study provide the foothold for future studies on cancer management and research in this patient population.

The anomalous Hall effect has considerable impact on the progress of condensed matter physics and occurs in systems with time-reversal symmetry breaking. Here we theoretically investigate the anomalous Hall effect in nonmagnetic transition-metal pentatelluride $\mathrm{ZrTe_{5}}$ and $\mathrm{HfTe}_{5}$. In the presence of Zeeman splitting and Dirac mass, there is an intrinsic anomalous Hall conductivity induced by the Berry curvature in the semiclassical treatment. In a finite magnetic field, the anomalous Hall conductivity rapidly decays to zero for constant spin-splitting and vanishes for the magnetic-field-dependent Zeeman energy. A semiclassical formula is derived to depict the magnetic field dependence of the Hall conductivity, which is beneficial for experimental data analysis. Lastly, when the chemical potential is fixed in the magnetic field, a Hall conductivity plateau arises, which may account for the observed anomalous Hall effect in experiments., 11 pages, 6 figures, accepted by PRB as a regular article

The shear lag effect (SLE) is one of the vital mechanical characteristics of structures with thin-walled box sections. While most existing studies of the SLE focus on the static response of footbridges, pedestrian-induced vibration deserves more attention since it represents the actual response of footbridges during their practical service process. A theoretical framework is proposed to consider the corresponding SLE. Firstly, the SLE on the natural frequencies of the structure can be considered with a reduction ratio to the corresponding case without considering the SLE. Results show it is more necessary to consider the SLE for footbridges with smaller span-width ratios, smaller section thickness-width ratios and lower height-width ratios. The SLE may result in significant reductions in the natural frequencies of the structures. These reductions in the predicted natural frequencies due to the SLE may further result in inaccuracy in the prediction of pedestrian-induced vibrations of footbridges. Furthermore, the most often applied mitigation measures may not be reliably designed. This may result in very significant reduction in the effectiveness of vibration mitigation measures. To consider the SLE on pedestrian-induced vibration and tuned-mass-damper-based vibration control of typical footbridges with thin-walled box sections, a simplified strategy is proposed.

Discrete time crystal is a class of nonequilibrium quantum systems exhibiting subharmonic responses to external periodic driving. Here we propose a class of discrete time crystals enforced by nonsymmorphic dynamical symmetry. We start with a system with nonsymmorphic dynamical symmetry, in which the instantaneous eigenstates become M\"obius twisted, hence doubling the period of the instantaneous state. The exact solution of the time-dependent Schr\"odinger equation shows that the system spontaneously exhibits a period extension without undergoing quantum superposition states for a series of specifc evolution frequencies or in the limit of long evolution period. Moreover, in such case the system gains a {\pi} Berry phase after two periods' evolution. Finally, we show that the subharmonic response is stable even when many-body interactions are introduced, indicating a DTC phase in the thermodynamic limit., Comment: 5 pages, 4 figures

Making causal inferences from observational studies can be challenging when confounders are missing not at random. In such cases, identifying causal effects is often not guaranteed. Motivated by a real example, we consider a treatment-independent missingness assumption under which we establish the identification of causal effects when confounders are missing not at random. We propose a weighted estimating equation (WEE) approach for estimating model parameters and introduce three estimators for the average causal effect, based on regression, propensity score weighting, and doubly robust estimation. We evaluate the performance of these estimators through simulations, and provide a real data analysis to illustrate our proposed method., arXiv admin note: substantial text overlap with arXiv:2211.15018

A simple sonication–heat treatment method to prepare novel urchin-like β-Ga2O3 microspheres with uniformly distributed nanowires is reported. Its unique morphology is expected to have potential in optoelectronic devices and other fields.

The nuclear and non-nuclear industry has produced a considerable amount of low and intermediate-level radioactive wastes during the last decades. The material characterization of waste packages recently became more and more important in order to dispose of these waste packages in a final underground repository. Material characterization remains an indispensable criterion to prevent pollution of the groundwater with toxic materials and is usually required by the national licensing and supervisory authorities. Information on the nature of waste materials can be obtained based on existing documentation or, if the documentation is insufficient, on further destructive or non-destructive analysis. Non-destructive methods are to be preferred to minimize radiation exposures of operating personnel as well as costs. Existing non-destructive techniques (Gamma scanning, X-ray, active/passive neutron counting, muon tomography) do not allow the identification of non-radioactive hazardous substances. An innovative non-destructive measurement system called QUANTOM® (QUantitative ANalysis of TOxic and non-toxic Materials) has been developed. It is based on the prompt and delayed gamma neutron activation analysis (P&DGNAA). This technology is able to identify and quantify the elemental composition (Cd, Cu, B, Pb, Hg, Fe, Al, …) in radioactive packages such as 200-l radioactive drums. This information helps waste producers verify the content of their radioactive wastes, especially regarding the presence of hazardous substances. Different reference materials have been analysed by means of the same technology (P&DGNAA) at the research reactor of BUDAPEST. A comparison of those results for five reference materials is presented. The results show a very good agreement between QUANTOM® and standardized reference analyses.

Im Endlagerungsverfahren Konrad wird von den Ablieferungspflichtigen eine stoffliche Beschreibung der radioaktiven Abfälle gefordert. Diese Anforderung ist insbesondere für Altabfälle herausfordernd, da die Ablieferungspflichtigen Plausibilitätsnachweise der stofflichen Beschreibung bei teilweise unzureichend dokumentierten Abfällen erbringen müssen. Zur zerstörungsfreien messtechnischen Erbringung eines solchen Plausibilitätsnachweises wird die innovative Fassmessanlage QUANTOM® (QUantitative ANalyse von TOxischen und nicht toxischen Materialien) präsentiert. Die Messanlage basiert auf der prompten und verzögerten Gamma-Neutronen-Aktivierungs-Analyse (P&DGNAA) und ermöglicht eine Multi-Elementanalyse der im 200-l-Fass enthaltenen Materialien, wodurch eine bestehende stoffliche Beschreibung mittels Stofflisteneinträgen verifiziert werden kann. Auf Grundlage der Messergebnisse kann sowohl die vom Ablieferungspflichtigen getätigte stoffliche Beschreibung bestätigt werden als auch der Nachweis erbracht werden, dass bestimmte wassergefährdende Stoffe nicht in den Abfällen enthalten sind (Ausschlussprinzip). QUANTOM® ergänzt synergetisch bestehende zerstörungsfreie Messverfahren die sich der Aktivitäts- oder Kernbrennstoffbestimmung sowie der Visualisierung der Dichteverteilung innerhalb der Abfallmatrix widmen. Der erste Prototyp von QUANTOM® ist seit 2020 in Betrieb und wurde im Jahr 2022 validiert.

The survival analysis on histological whole-slide images (WSIs) is one of the most important means to estimate patient prognosis. Although many weakly-supervised deep learning models have been developed for gigapixel WSIs, their potential is generally restricted by classical survival analysis rules and fully-supervised learning requirements. As a result, these models provide patients only with a completely-certain point estimation of time-to-event, and they could only learn from the labeled WSI data currently at a small scale. To tackle these problems, we propose a novel adversarial multiple instance learning (AdvMIL) framework. This framework is based on adversarial time-to-event modeling, and integrates the multiple instance learning (MIL) that is much necessary for WSI representation learning. It is a plug-and-play one, so that most existing MIL-based end-to-end methods can be easily upgraded by applying this framework, gaining the improved abilities of survival distribution estimation and semi-supervised learning. Our extensive experiments show that AdvMIL not only could often bring performance improvement to mainstream WSI survival analysis methods at a relatively low computational cost, but also enables these methods to effectively utilize unlabeled data via semi-supervised learning. Moreover, it is observed that AdvMIL could help improving the robustness of models against patch occlusion and two representative image noises. The proposed AdvMIL framework could promote the research of survival analysis in computational pathology with its novel adversarial MIL paradigm., 15 pages, 10 figures, 8 tables

Causal inference in observational studies can be challenging when confounders are subject to missingness. Generally, the identification of causal effects is not guaranteed even under restrictive parametric model assumptions when confounders are missing not at random. To address this, We propose a general framework to establish the identification of causal effects when confounders are subject to treatment-independent missingness, which means that the missing data mechanism is independent of the treatment, given the outcome and possibly missing confounders. We give special consideration to commonly-used models for continuous and binary outcomes and provide counterexamples when identification fails. For estimation, we provide a weighted estimation equation estimating method for model parameters and purpose three estimators for the average causal effect based on the estimated models. We evaluate the finite-sample performance of the estimators via simulations. We further illustrate the proposed method with real data sets from the National Health and Nutrition Examination Survey., This paper is updated and the new version is on arXiv:2303.05878

Let $B(n,p)$ denote a binomial random variable with parameters $n$ and $p$. Vas\v{e}k Chv\'{a}tal conjectured that for any fixed $n\geq 2$, as $m$ ranges over $\{0,\ldots,n\}$, the probability $q_m:=P(B(n,m/n)\leq m)$ is the smallest when $m$ is closest to $\frac{2n}{3}$. This conjecture has been solved recently. Motivated by this conjecture, in this paper, we consider the corresponding minimum value problem on the probability that a random variable is not more than its expectation, when its distribution is the Poisson distribution, the geometric distribution or the Pascal distribution., Comment: 9 pages

Overview 1. Introduction 2. Model Optimization 3. Model Verification

International audience; Individual countries are requested to submit nationally determined contributions (NDCs) to alleviate global warming in the Paris Agreement. However, the global climate effects and regional contributions are not explicitly considered in the countries' decision-making process. In this study, we evaluate the global temperature slowdown of the NDC scenario (ΔT = 0.6°C) and attribute the global temperature slowdown to certain regions of the world with a compact earth system model. Considering reductions in CO2, CH4, N2O, BC, and SO2, the R5OECD (the Organization for Economic Co-operation and Development in 1990) and R5ASIA (Asian countries) are the top two contributors to global warming mitigation, accounting for 39.3% and 36.8%, respectively. R5LAM (Latin America and the Caribbean) and R5MAF (the Middle East and Africa) followed behind, with contributions of 11.5% and 8.9%, respectively. The remaining 3.5% is attributed to R5REF (the Reforming Economies). Carbon Dioxide emission reduction is the decisive factor of regional contributions, but not the only one. Other greenhouse gases are also important, especially for R5MAF. The contribution of short-lived aerosols is small but significant, notably SO2 reduction in R5ASIA. We argue that additional species beyond CO2 need to be considered, including short-lived pollutants, when planning a route to mitigate climate change. It needs to be emphasized that there is still a gap to achieve the Paris Agreement 2-degree target with current NDC efforts, let alone the ambitious 1.5-degree target. All countries need to pursue stricter reduction policies for a more sustainable world.

Rhythmic light flickers have emerged as useful tools to modulate cognition and rescue pathological oscillations related to neurological disorders by entrainment. However, a mechanistic understanding of the entrainment for different brain oscillatory states and light flicker parameters is lacking. To address this issue, we proposed a biophysical neural network model for thalamocortical oscillations (TCOs) and explored the stimulation effects depending on the thalamocortical oscillatory states and stimulation parameters (frequency, intensity, and duty cycle) using the proposed model and electrophysiology experiments. The proposed model generated alpha, beta, and gamma oscillatory states (with main oscillation frequences at 9, 25, and 35 Hz, respectively), which were successfully transmitted from the thalamus to the cortex. By applying light flicker stimulation, we found that the entrainment was state-dependent and it was more prone to induce entrainment if the flicker perturbation frequency was closer to the endogenous oscillatory frequency. In addition, endogenous oscillation would be accelerated, whereas low-frequency oscillatory power would be suppressed by gamma (30–50 Hz) flickers. Notably, the effects of intensity and duty cycle on entrainment were complex; a high intensity of light flicker did not mean high entrainment possibility, and duty cycles below 50% could induce entrainment easier than those above 50%. Further, we observed entrainment discontinuity during gamma flicker stimulations with different frequencies, attributable to the non-linear characteristics of the network oscillations. These results provide support for the experimental design and clinical applications of the modulation of TCOs by gamma (30–50 Hz) light flicker.

We performed this study to investigate the diagnostic performance of prostate-specific antigen density (PSAD) in a multicenter cohort of the Chinese Prostate Cancer Consortium. Outpatients with prostate-specific antigen (PSA) levels ≥4.0 ng ml−1 regardless of digital rectal examination (DRE) results or PSA levels

The code for 3oeCs based on MT

This study describes and compares euphemisms in Indonesian and Mandarin. The research is qualitative and applies a contrastive approach. Data was collected by listening and taking notes and the analysis was conducted by comparative-contrastive description. The results show that there are fourteen realms in comparing Indonesian and Mandarin euphemisms. Further, euphemisms manifest themselves in words, terms, phrases and clauses in these two languages. Euphemisms are used to add politeness and promote harmony in communication – perks of using euphemisms include conflict-mitigation and corroboration of one’s cultural identity. Understanding euphemisms helps foreign students speak better Indonesian in keeping with their own cultural framework.

This code is used to calculate the 3oeCs of fractured rock.

Let $B(n,p)$ denote a binomial random variable with parameters $n$ and $p$. Vasěk Chvátal conjectured that for any fixed $n\geq 2$, as $m$ ranges over $\{0,\ldots,n\}$, the probability $q_m:=P(B(n,m/n)\leq m)$ is the smallest when $m$ is closest to $\frac{2n}{3}$. This conjecture has been solved recently. Motivated by this conjecture, in this paper, we consider the corresponding minimum value problem on the probability that a random variable is not more than its expectation, when its distribution is the Poisson distribution, the geometric distribution or the Pascal distribution., 9 pages

The coherence length of two Majorana zero energy modes in a p-wave topological superconductor is inversely proportional to the superconducting order parameter. We studied the finite size effect of the Majorana zero modes at vortices in a topological insulator/superconductor heterostructure in the presence of a vortex and found that the the coherence length of the two zero energy modes at the terminals of a vortex line is independent of superconducting order parameter, and determined by the intrinsic properties of the topological insulator. This anomalous property illustrates that the superconducting topological insulator is topologically distinct, contrary to a $p$-wave topological superconductor., Comment: 9 pages with 2 figures

Supplemental Material, sj-pdf-1-jba-10.1177_08853282221087412 for Adenosine triphosphate/pH dual-responsive controlled drug release system with high cancer/normal cell selectivity and low side toxicity by Bo Fu, Hui-Chao Lin, Nian Chen and Zhao Ping in Journal of Biomaterials Applications.

Supplementary Information

This paper presents a learning framework to estimate an agent capability and task requirement model for multi-agent task allocation. With a set of team configurations and the corresponding task performances as the training data, linear task constraints can be learned to be embedded in many existing optimization-based task allocation frameworks. Comprehensive computational evaluations are conducted to test the scalability and prediction accuracy of the learning framework with a limited number of team configurations and performance pairs. A ROS and Gazebo-based simulation environment is developed to validate the proposed requirements learning and task allocation framework in practical multi-agent exploration and manipulation tasks. Results show that the learning process for scenarios with 40 tasks and 6 types of agents uses around 12 seconds, ending up with prediction errors in the range of 0.5-2%., Comment: The video and open-source code are at https://brg.engin.umich.edu/publications/learn-multiagent-taskreq/

Supplemental Material, sj-pdf-1-jba-10.1177_08853282221087412 for Adenosine triphosphate/pH dual-responsive controlled drug release system with high cancer/normal cell selectivity and low side toxicity by Bo Fu, Hui-Chao Lin, Nian Chen and Zhao Ping in Journal of Biomaterials Applications.

Code to plot the figure. The detail is in read me.

This work presents a framework for multi-robot tour guidance in a partially known environment with uncertainty, such as a museum. In the proposed centralized multi-robot planner, a simultaneous matching and routing problem (SMRP) is formulated to match the humans with robot guides according to their selected places of interest (POIs) and generate the routes and schedules for the robots according to uncertain spatial and time estimation. A large neighborhood search algorithm is developed to efficiently find sub-optimal low-cost solutions for the SMRP. The scalability and optimality of the multi-robot planner are evaluated computationally under different numbers of humans, robots, and POIs. The largest case tested involves 50 robots, 250 humans, and 50 POIs. Then, a photo-realistic multi-robot simulation platform was developed based on Habitat-AI to verify the tour guiding performance in an uncertain indoor environment. Results demonstrate that the proposed centralized tour planner is scalable, makes a smooth trade-off in the plans under different environmental constraints, and can lead to robust performance with inaccurate uncertainty estimations (within a certain margin)., ASME, Journal of Autonomous Vehicles and Systems, 2022

Tables in scientific papers contain a wealth of valuable knowledge for the scientific enterprise. To help the many of us who frequently consult this type of knowledge, we present Tab2Know, a new end-to-end system to build a Knowledge Base (KB) from tables in scientific papers. Tab2Know addresses the challenge of automatically interpreting the tables in papers and of disambiguating the entities that they contain. To solve these problems, we propose a pipeline that employs both statistical-based classifiers and logic-based reasoning. First, our pipeline applies weakly supervised classifiers to recognize the type of tables and columns, with the help of a data labeling system and an ontology specifically designed for our purpose. Then, logic-based reasoning is used to link equivalent entities (via sameAs links) in different tables. An empirical evaluation of our approach using a corpus of papers in the Computer Science domain has returned satisfactory performance. This suggests that ours is a promising step to create a large-scale KB of scientific knowledge., 17 pages, 4 figures, conference: The Semantic Web -- ISWC 2020

To calculate the dispersions of elastic moduli and 3oECs

The code is used to calculate the dispersion of 3ToECs main function: testflow_frac_fuboye_2019_stressinfl.m The function to calculate the deviation DoSatisfy.m

Congenital central hypoventilation syndrome (CCHS) is a life-threatening disorder characterized by respiratory symptoms such as hypoventilation during sleep, significantly reduced ventilatory and arousal responses, and sustained hypoxia. Patients with CCHS exhibit neurocognitive deficits due to structural abnormalities in the brainstem, cerebellum, and forebrain. Due to the potential for repeated hypoxemia and hypercarbia among patients with CCHS, neurocognitive functioning is often impaired. This is the first described report in which a patient with CCHS and specific phobia has been reported and highlights the importance of neuropsychological testing in directing treatment approaches. We report a case of a 26-year-old male, diagnosed with CCHS and specific phobia. This patient was overdue for a needed bronchoscopy to check his airway for abnormalities (recommended every 12-24 months). The patient had developed a specific phobia to procedures involving anesthesia. It was determined in the initial phase of treatment that the patient’s neurocognitive status was impacting his ability to engage in psychiatric and psychosocial treatment. This patient’s care consisted of neuropsychological testing, with medication consultation, and cognitive behavioral psychotherapy. Treatment involved consistent collaboration among the patient’s treating clinicians as well as collaboration with the patient’s family and team of nurses. At the conclusion of treatment, the patient had successfully completed his bronchoscopy and future treatment goals were identified. This case emphasizes the importance of a neuropsychological evaluation when there is a disconnect in a patient’s information processing, as the results may be highly informative in directing treatment for patients with CCHS and specific phobia. The collaborative care we provided offers insights which may direct future interventions for patients with CCHS and improve their quality of life. Our case adds support to the recommendation that patients with CCHS and impaired psychosocial functioning should receive neuropsychological testing to best direct treatment.

We present a unified understanding of the experimentally observed minimal dc conductivity in weakly disordered graphene. Firstly, based on linear response theory, we reveal that randomness or disorder inevitably induces momentum dependent corrections to the electron self-energy function, which naturally yields a sample-dependent minimal conductivity. Taking the long-ranged Gaussian and Coulomb potentials as examples, we derive the momentum dependent self-energy function within the Born approximation, and further validate it via numerical simulations using the large-scale Lanczos algorithm. The explicit momentum dependences of the self-energy on the intensity, concentration and range of potential are critically addressed. Therefore, our results provide a reasonable interpretation of the sample-dependent minimal conductivity observed in graphene samples.

Additional file 1.: Table S1. ECG parameters of participants categorized by LVH status (n=1515). Table S2. The collinearity diagnosis analysis between variables (n=1515). Table S3. Association between various characteristics and the risk of LVH by multiple logistic regression analysis in normotensive subjects (n=1344).

This publication is part of the proceedings of the Biot-Bažant Conference on Engineering Mechanics and Physics of Porous Materials, which took place virtually on June 1-3, 2021. It contains a one-page abstract and the video of the talk that was given at the conference.

Background Due to the diversity of the ingredients, the complexity of the mechanism of action, the uncertainty of the effective ingredients, coupled with the multiple species and multiple growing areas, the quality control (QC) of Traditional Chinese Medicines (TCMs) is challenging. Discovering and identifying effective compounds from the complex extracts of TCMs and then establishing a scientific QC method is the key to the holistic QC of TCMs. Purpose To develop an anti-lung-cancer-guided spectrum-effect relationship approach for the discovery of QC markers of the rhizome of Curcuma wenyujin (WEZ) and establish a bioactive compounds-based holistic QC method. Methods The chemical profiling of the volatile oil (WVO) from 42 batches of WEZ collected from different growing areas was performed by GC-MS. The anti-lung cancer activity of different WVO samples was determined by CCK-8 assay against human lung cancer cells (A549). The apoptosis and cell cycle analysis under different concentrations of WVO were detected by flow cytometry. SIMCA-P software was used to perform multivariate statistical analysis on the chemical composition of different WVO samples and to find the different components. Active compounds were screened using a PLSR model of the spectrum-effect relationship. Bioactive compounds-based fingerprint and quantification of the leading bioactive compounds were developed by GC-MS and GC-FID, respectively. Results Seventy-eight compounds were detected in WVO and 54 were successfully identified. The multivariate statistical analysis uncovered that WVO components and the anti-A549 activity of WVO at the concentration of 60 nl/ml differ greatly according to the origin of the plant. The WVO at the concentration of 60 nl/ml (IC50) increased A549 cells apoptosis significantly with late and early apoptosis of 15.61% and 7.80%, and the number of cells in the G2/M phase were also increased significantly under this concentration. The spectrum-effect relationship analysis revealed that 44 compounds were positively correlated with their activities, and the result was verified by A549 cell viability assay. Sixteen positively correlated compounds were further selected as QC markers according to their relative amount > 0.5% and anticancer activity. Finally, the 16 QC markers-based GC-MS fingerprint was established to holistically control the quality of WEZ, and a GC-FID method was developed for the quantification of leading bioactive compounds, β-elemene and β-caryophyllene. Conclusion Based on an anti-lung-cancer-guided spectrum-effect relationship approach, the bioactive compounds-based holistic QC method was successfully developed for WEZ, which could provide a valuable reference for the QC of TCMs.

Resistivity anomaly, a sharp peak of resistivity at finite temperatures, in the transition-metal pentatellurides ZrTe5 and HfTe5 was observed four decades ago, and more exotic and anomalous behaviors of electric and thermoelectric transport were revealed recent years. Here we present a theory of Dirac polarons, composed by massive Dirac electrons and holes in an encircling cloud of lattice displacements or phonons at finite temperatures. The chemical potential of Dirac polarons sweeps the band gap of the topological band structure by increasing the temperature, leading to the resistivity anomaly. Formation of a nearly neutral state of Dirac polarons accounts for the anomalous behaviors of the electric and thermoelectric resistivity., Main script:6 pages with 4 figures. Supplementary file: 10 pages with 1 figure

Background To investigate whether the mechanism underlying the anti-inflammatory effects of electroacupuncture (EA) at ST36 involves dopamine (DA) and its receptor and whether it is mediated by the vagus nerve in a rat model of intestinal ischaemia-reperfusion (I/R) injury. Methods Rats were subjected to gut ischaemia for 30 min and then received EA for 30 min with or without abdominal vagotomy or intraperitoneal administration of butaclamol (D1 receptor antagonist) or spiperone (D2 receptor antagonist). Plasma levels of DA and tumour necrosis factor (TNF)-α were assessed 1 or 4 h after reperfusion. Myeloperoxidase (MPO) activity and malondialdehyde (MDA) content in intestinal tissues were assessed using enzyme-linked immunosorbent assay (ELISA) kits. Intestinal tissue injury was assessed by observation of the pathological lesions and permeability to 4 kDa fluorescein isothiocyanate (FITC)-dextran. Results EA significantly increased levels of DA and lowered levels of TNF-α. EA also inhibited intestinal levels of MPO and MDA and intestinal tissue injury and decreased intestinal permeability to FITC-dextran. Abdominal vagotomy and intraperitoneal administration of butaclamol (but not spiperone) inhibited the effects of EA. Conclusion These findings suggest that EA at ST36 could attenuate intestinal I/R-induced inflammatory injury and that the underlying mechanism may involve EA-induced increases in levels of DA, mediated by the vagus nerve and D1 receptors.

To determine the therapeutic effect of Ziyin Jianghuo Ningxin Decoction (ZYJHNXD) plus dehydroepiandrosterone (DHEA) and menopausal hormone therapy (MHT) in patients suffering from menopausal symptoms identified as, in terms of Traditional Chinese Medicine, symptom pattern of Yin deficiency with hyperactive fire.Totally 180 postmenopausal women aged 40 to 60 years were assigned into four groups and accepted femoston, femoston with ZYJHNXD, femoston with DHEA, femoston with ZYJHNXD and DHEA therapies, respectively, for three months. Common questionnaire-based measure instruments included modified Kupperman index (MKI), Hamilton Rating Scale for Anxiety (HAMA), and Hamilton Rating Scale for Depression (HAMD). Follicle-stimulating hormone (FSH), luteinizing hormone (LH), estradiol (E2), 5-hydroxyindole-3-acetic acid (5-HIAA), norepinephrine (NE), dopamine (DA), bone mineral density (BMD), and sleep quality were evaluated before and three months after the treatments.In all four groups, the scores of MKI, HAMA, HAMD and the levels of FSH, LH decreased significantly (P0.05) after the treatment, while the levels of E2, 5-HIAA, NE, and DA showed obvious elevation (P0.05). The group receiving ZYJHNXD and DHEA combined with femoston had superiority in the preservation of bone mineral density and improvement of total sleep time and nighttime sleep time over the other three groups.ZYJHNXD and DHEA combined with MHT therapy have a favorable outcome in managing menopausal symptoms, restoring hormone levels, preventing skeletal rarefaction or osteoporosis, and improving sleep quality for postmenopausal women.

Map based visual inertial localization is a crucial step to reduce the drift in state estimation of mobile robots. The underlying problem for localization is to estimate the pose from a set of 3D-2D feature correspondences, of which the main challenge is the presence of outliers, especially in changing environment. In this paper, we propose a robust solution based on efficient global optimization of the consensus maximization problem, which is insensitive to high percentage of outliers. We first introduce translation invariant measurements (TIMs) for both points and lines to decouple the consensus maximization problem into rotation and translation subproblems, allowing for a two-stage solver with reduced solution dimensions. Then we show that (i) the rotation can be calculated by minimizing TIMs using only 1-dimensional branch-and-bound (BnB), (ii) the translation can be found by running 1-dimensional search for three times with prioritized progressive voting. Compared with the popular randomized solver, our solver achieves deterministic global convergence without depending on an initial value. While compared with existing BnB based methods, ours is exponentially faster. Finally, by evaluating the performance on both simulation and real-world datasets, our approach gives accurate pose even when there are 90\% outliers (only 2 inliers).

Reverse mortgage is a kind of housing equity loan. As a retirement pension tool, it is used to mortgage the housing rights of the elderly to financial institutions to achieve the purpose of releasing the housing rights of the elderly, is an important supplementary pension insurance. Although reverse mortgages have been piloted in China for six years, the development of reverse mortgages in China has been severely hampered. This paper uses the qualitative analysis method to analyze the reasons why the current reverse mortgage loan is blocked in China from the perspective of policy system, reverse mortgage demand side and supply side by comparing the international reverse mortgage market with China's national conditions.

Additional file 1: Figure a. Annual treatment effects for drug cost per outpatient admission controlling for linear time trends. Figure b. Annual treatment effects for drug cost per inpatient visit controlling for linear time trends. Parallel trend test of outcome variables.

Additional file 2: Table S1. Top 30 aberrantly expressed genes in microarray analysis.

Additional file 1: Table S1. Quality of eligible studies.