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Background:. Reports evaluating the efficacy of transcranial sonography (TCS) for the differential diagnosis of Parkinson disease (PD) and other movement disorders in China are scarce. Therefore, this study aimed to assess the application of TCS for the differential diagnosis of PD, multiple system atrophy (MSA), progressive supranuclear palsy (PSP), and essential tremor (ET) in Chinese individuals. Methods:. From 2017 to 2019, 500 inpatients treated at the Department of Dyskinesia, Beijing Tiantan Hospital, Capital Medical University underwent routine transcranial ultrasound examination. The cross-sections at the midbrain and thalamus levels were scanned, and the incidence rates of substantia nigra (SN) positivity and the incidence rates of lenticular hyperechoic area were recorded. The echo of the SN was manually measured. Results:. Of the 500 patients, 125 were excluded due to poor signal in temporal window sound transmission. Among the 375 individuals with good temporal window sound transmission, 200 were diagnosed with PD, 90 with ET, 50 with MSA, and 35 with PSP. The incidence rates of SN positivity differed significantly among the four patient groups (χ2 = 121.061, P 0.017). Conclusion:. SN positivity could effectively differentiate PD from ET, PSP, and MSA in a Chinese population.

The incidence of stomach diseases is very high, which has a significant impact on human health. Damaged gastric mucosa is more vulnerable to injury, leading to bleeding and perforation, which eventually aggravates the primary disease. Therefore, the protection of gastric mucosa is crucial. However, existing drugs that protect gastric mucosa can cause nonnegligible side effects, such as hepatic inflammation, nephritis, hypoacidity, impotence, osteoporotic bone fracture, and hypergastrinemia. Autophagy, as a major intracellular lysosome-dependent degradation process, plays a key role in maintaining intracellular homeostasis and resisting environmental pressure, which may be a potential therapeutic target for protecting gastric mucosa. Recent studies have demonstrated that autophagy played a dual role when gastric mucosa exposed to biological and chemical factors. More indepth studies are needed on the protective effect of autophagy in gastric mucosa. In this review, we focus on the mechanisms and the dual role of various biological and chemical factors regulating autophagy, such as Helicobacter pylori, virus, and nonsteroidal anti-inflammatory drugs. And we summarize the pathophysiological properties and pharmacological strategies for the protection of gastric mucosa through autophagy.

Due to problems in manufacturing process and forging technology, some of the workpieces production in the workshop have defects, which affects the ornamental value and utility of the workpieces. At present, the detection of workpiece defects is still mainly relying on manual detection, which consumes human resources and has a high detection error rate. To solve the above problems, deep learning is used to improve the detection of workpiece defects and reduce the cost of workpiece production. This article uses Faster R-CNN1 as the basic architecture and integrates Resnet502 as the backbone network. In addition, Deformable Convolutional Networks3 is introduced to extract defect features of different forms, and the multi-scale transformation problem is solved through Feature Pyramid Networks4. Comparing with YOLOv35, Faster R-CNN, Mask R-CNN6 and other models, the results show that the mAP of the object detection model based on Faster R-CNN is 89.21%, the detection effect is the best, and it can meet the actual production needs.

As the development of deep learning, the accuracy and speed of object detection tasks are constantly improved, and more and more neural network models meet the needs of object detection. Many network models provide a new possibility for workpiece detection in factory workshops. However, the existing object detection model has the problems of large parameters, slow running speed and high memory consumption, which makes it difficult to be applied to the actual workshop production scene. In order to solve the above problems, based on the research of network model compression and acceleration algorithm, this paper optimizes the classical mobile Mobilenet-yolov3 network by quantification and pruning, and makes experimental analysis and comparison with existing result. The experimental results show that using the same workpiece data set, the new model can get the same effect in F1 score and accuracy rate as the original model, and also slightly improve the recall rate. Compared with the original model, the computational complexity and model size and the Flops (forward inference speed) are greatly reduced.

Aims To retrospectively compare the efficacy of transcatheter chemoembolization (TACE) plus percutaneous radiofrequency ablation (PRFA) (hereafter, TACE + PRFA) and laparoscopic radiofrequency ablation (LRFA) in the treatment of inoperable hepatocellular carcinoma (HCC). Methods From July 2014 to December 2017, 132 consecutive patients with inoperable HCC were treated with TACE + PRFA (n = 86) or LRFA (n = 46). Overall survival (OS) and recurrence-free survival (RFS) were analyzed using log-rank test and Cox regression analysis. Propensity score matched (PSM) analyses based on patient and tumor characteristics were also conducted. Additionally, we performed exploratory analyses to determine the effectiveness of TACE + PRFA and LRFA in clinically relevant subsets. Results The baseline characteristics of TACE + PRFA patients displayed relatively inferior liver status and a higher rate of BCLC-B disease. For unmatched patients, median OS (55.0 vs. 42.0 months; p = .019) and RFS (20.0 vs. 11.0 months; p

In recent years, using Internet of Things (IoT) technology to build the intelligent functions in the Smart Grid has become one of the key development strategies of China State Grid Corporation. As a fundamental technology building block to IoT, wireless sensor network (WSN) technology faces greater technical challenges in power grids than in most of other domains. In the harsh deployment environment of a power grid, satisfying requirements such as low power consumption, good transmission coverage and high reliability are the key focuses for the WSN design. This paper presents our WSN design techniques that address the requirements for Smart Grid facilities. We demonstrate our WSN design in the supporting system of the LingZhou HVDC converter station with over 1600 wireless sensors installed. Our WSN system not only makes the converter station smarter, but also significantly reduce the cost of the installation and maintenance of the supporting system of the station.

Triboelectric nanogenerator (TENG) can convert mechanical energy into electrical energy and has been regarded as a promising portable power source. However, the low output power restricts TENG’s applications in energy harvesters and sensors. Herein, we developed an effective way of increasing TENG’s output power by combining ferroelectricity and conduction of the triboelectric materials. For this purpose, a conductive interlayer modulated ferroelectric nanocomposite was used as the negative triboelectric material. Compared with the conventional ferroelectric nanocomposites based TENG, the transferred triboelectric charge density of the conductive interlayer modulated ferroelectric nanocomposite based TENG can reach 105.70 μC m−2 from 17.50 μC m−2, while the output power density increases to 7.21 W m−2 from 0.11 W m−2. The boosted output performance can be attributed to the existence of a conductive intermediate layer in the negative triboelectric material, which induces charge trapping and enhances ferroelectric polarization of the nanocomposites. Apart from being used as wearable energy harvesters, the TENG device also exhibits a promising application in parachuting surveillance for preventing potential injuries. Furthermore, TENG device has numerous possible application scenarios for future airborne troops. This work provides a brand-new strategy for enhancing contact electrification, showing strong potential in design of high output TENGs.

[Objective] In order to deal with the difficulty of choosing suitable colleges to fill in the report in a short time after Chinese candidates take the college entrance examination, the SVR-based combination prediction model was used to solve the problem. [Process and method] By collating and analyzing the enrollment data of Henan Province's colleges in the past years and the college entrance examination data of Henan candidates, combined with college application strategies and support vector machine regression combined forecasting models, it is possible to reasonably predict each institution minimum admission line. To explain the implementation of this model, an example of Henan Province's college admissions was used. [Results] The analysis of the examples shows that compared with the linear regression model, the gray prediction (GM) model, and the difficulty coefficient method prediction model, the combined prediction model can effectively improve the prediction accuracy. [Conclusion] The SVR-based combination prediction model can provide candidates with key reference information, thereby effectively solving the problem of candidates choosing a college.

Introduction The Adult Neurodevelopmental Service in Singapore is the first service of its kind in South-East Asia for adults with intellectual disability (ID) and/or autism spectrum disorder (ASD). However, few studies have documented and compared the sociodemographic characteristics and clinical needs of this subpopulation group. Methods Initial assessments conducted from 1 January 2015 to 31 December 2016 were retrospectively reviewed for this descriptive study. Results A total of 272 patients were included in the study (mean age 28.3 ± 11.5; 200 males, 72 females). Adults with ID comprised the largest percentage (52.9%), followed by those with ASD (30.2%), and then those with co-occurring ASD and ID (16.9%). The ASD subgroup had the highest proportion of individuals with employment, postsecondary school education, functional capabilities, and a psychiatric disorder. In comparison, adults with only ID and adults with co-occurring ASD and ID shared similar lower levels of education and employment, and had a higher proportion of individuals with epilepsy and aggressive behavior. Discussion In this study, adults with ASD had a unique social profile with different clinical needs compared to adults with only ID or to adults with co-occurring ASD and ID. Adults with only ID and those with co-occurring ASD shared many of the same social characteristics and high clinical needs. The analysis of these profiles will be useful in developing services that better meet the needs of this complex group.

To enhance the effective of the land in mining subsidence areas, realize the development of new rural construction and urbanization. According to the geological and mining conditions, the scale, shape and regularity of the potential crack areas in the coal goafs, separated overburden strata, and the influencing factors which affect the deformation foundation of architecture and stability are studied. Probability integral method is used to establish the further deformations formula of the building foundations in mining subsidence areas. The monitoring data from the ground observation stations are used to invert the further deformation predicting parameters, the surface further deformations of each coal goafs, and the whole surface’s further deformations are calculated by the superposition method. The foundation further deformations, geological structures, etc, are comprehensively taken into consideration. The stability of the building foundations in mining subsidence area are analyzed and evaluated. Research results are very valuable to process, design, and plan the foundations of the buildings in coal mining subsidence areas.

It is difficult to accurately calculate the predicting parameters of surface displacement of mining subsidence. Based on the measured data of the ground movement observation station in North China, The probability integral method is taken as mathematical model of Surface movement parameters fitting, the curve-fitting of the measured data is carried out by using Matlab’s efficient data processing and mapping function, thus it becomes easy to obtain accurate predicting parameters of mining subsidence. By comparing the measured data with the curve-fitting results, the research shows that the fitting results based on Matlab is more accurate, and meet the requirements of practical engineering. It is important and practically significant to improve the predicting accuracy of mining subsidence, give scientific and rational guidance to mining under the buildings, railways and water bodies.

OBJECTIVE We examined health care utilization, clinical profiles (such as sociodemographic features, clinical severity), and outcomes (inpatient admission, revisit within 24 hours of discharge) of patients who were admitted to a 23-hour observation unit within the emergency service of a tertiary psychiatric hospital and hypothesized that a specific clinical profile (greater clinical severity, lower psychosocial functioning) predicted subsequent inpatient hospitalization. METHOD The medical records of all patients admitted to the observation unit from February 5, 2007, to February 4, 2012 (N = 2,158) were assessed for relevant data. Clinical severity and level of psychosocial functioning were assessed using Clinical Global Impressions-Severity (CGI-S) and Global Assessment of Functioning (GAF) scales, respectively. RESULTS Overall, the patients seen were predominantly Chinese males > 36 years old who had diagnoses including stress-related, anxiety, affective spectrum, and psychotic disorders. The clinical severity score (CGI-S) improved significantly following discharge from the observation unit (t 1,1848 = 23.316; P < .001). Logistic regression analyses revealed that self-referred (P = .001), older patients (P = .007) with past psychiatric history (P = .019), lower GAF scores (P = .025), and less improvement of CGI-S scores (P = .001) were associated with inpatient admission after a 23-hour stay in the observation unit. CONCLUSIONS Our study findings affirmed our hypothesis and supported the utility of the observation unit in monitoring the overall clinical status of patients, which was linked with subsequent inpatient admissions. Better management of these patients at the outpatient level can potentially decrease unnecessary hospitalization and reduce health care cost as well as illness burden on patients and caregivers.

A sub-terahertz (0.35 THz) CARM operating in a higher-order mode TE 5, 1 is simulated, where nonlinear interaction of the operating mode with its neighboring modes TE 5, 2 , TM 5, 1 , and TM 5, 2 are taken into account. Results show that the expected operating mode TE 5, 1 with ultrahigh gain of 79 dB may be absolutely dominant, although all the neighboring modes grow simultaneously in the multimode-beam interaction process.

A 35-GHz, TE5,1-mode large-orbit coaxial-waveguide CARM amplifier is specifically analyzed. Results show that the operating magnetic field and the electron-beam energy and average radius substantially affect the power, and especially, a small beam current may be unsuitable to a large-orbit CARM amplifier operation.