Linguistic Features of Oral English Corpora and Their Implications for English Teaching in Colleges and Universities

The main goal of English teaching in colleges and universities is to cultivate students’ability to use the language,but many students are still unable to complete oral communication fluently after years of study.For this reason,teachers need to deeply analyze and study the linguistic features of oral English corpora and formulate reasonable teaching strategies to improve students’oral expression skills.This paper outlines the linguistic features of oral English corpora,comparatively analyzes the differences between oral English corpora and written English corpora,and explores effective teaching strategies,hoping to provide guidelines for relevant teachers.

Four Dimensions of Integrating Chinese Culture Into College English Teaching From the Perspective of Tyler’s Basic Principles

Integrating Chinese culture into college English can not only enhance students’humanities literacy and cultivate their cultural confidence,but also facilitate the inheritance and international dissemination of Chinese culture.Taking Tyler’s curriculum framework as the starting point,this paper analyzes some factors that affect the integration of Chinese culture into the college English teaching and proposes some strategies for the integration of Chinese culture into college English teaching by innovating teaching objectives,enriching teaching contents,transforming modes of course delivery,and reconstructing the assessment system.

Graffiti in College:Topic Analysis and Linguistic Features

This paper explores how the Chinese college students' life is represented in some graffiti collected in campus.The article analyzes and compares the topics of graffiti from different settings and the linguistic features they manifest.The findings show that fewer graffiti from female toilet and classroom in this university pay attention to political issues compared with the graffiti abroad.Graffiti in female toilet mainly focus on the theme of love,and are found to be more interactive in discourse.Whereas graffiti on desks tend to cover mixed themes and be less interactive.There are more graphic graffiti and exam answers on the undergraduate students' desk than on the postgraduates'.Graffiti have some linguistic features as thematization,repetition and salience,etc.

Suggestions on Lead-in from the Features of College English

As the beginning part of an English class,lead-in not only plays an important role in activating class atmosphere,motivating learning and expanding thinking,but also reflects the teacher's professional competences and teaching techniques.In this paper,the writer offers some suggestions on lead-in from the features of college English in the hope of lighting lead-in inspiration and improving teaching efficiency.

Prediction of Alzheimer’s Using Random Forest with Radiomic Features

Alzheimer’s disease is a non-reversible,non-curable,and progressive neurological disorder that induces the shrinkage and death of a specific neuronal population associated with memory formation and retention.It is a frequently occurring mental illness that occurs in about 60%–80%of cases of dementia.It is usually observed between people in the age group of 60 years and above.Depending upon the severity of symptoms the patients can be categorized in Cognitive Normal(CN),Mild Cognitive Impairment(MCI)and Alzheimer’s Disease(AD).Alzheimer’s disease is the last phase of the disease where the brain is severely damaged,and the patients are not able to live on their own.Radiomics is an approach to extracting a huge number of features from medical images with the help of data characterization algorithms.Here,105 number of radiomic features are extracted and used to predict the alzhimer’s.This paper uses Support Vector Machine,K-Nearest Neighbour,Gaussian Naïve Bayes,eXtreme Gradient Boosting(XGBoost)and Random Forest to predict Alzheimer’s disease.The proposed random forest-based approach with the Radiomic features achieved an accuracy of 85%.This proposed approach also achieved 88%accuracy,88%recall,88%precision and 87%F1-score for AD vs.CN,it achieved 72%accuracy,73%recall,72%precisionand 71%F1-score for AD vs.MCI and it achieved 69%accuracy,69%recall,68%precision and 69%F1-score for MCI vs.CN.The comparative analysis shows that the proposed approach performs better than others approaches.

Research on the Interior Decoration Characteristics of Peking Union Medical College Phase I Project

Peking Union Medical College was founded in the late Qing Dynasty and the early Republic of China.Since then,society and politics have been rapidly changing,and its architectural aesthetics reflect the idea of advocating the West and inheriting tradition.Through research and actual investigation,this paper summarizes the current status of its building from two aspects,interior decoration art and interior decoration technology,analyzes the interior decoration characteristics of Peking Union Medical College Phase I Project,and records the archives of Peking Union Medical College’s decoration technology.

Stylistic Analysis on "Bill's Little Girl":Lexical Features

"Bill's Little Girl " is a prose. This article analysis's its stylistic features of language in the aspects of lexical. While analysis, we can further appreciate its plain and simple language, its natural and fluent manner of writing and its complete discourse, meanwhile we can deeply understand that love is great, father's love is great.

Prevalence of asthenopia and its risk factors in Chinese college students

·AIM: To determine the prevalence of asthenopia and identify any associated risk factors in the college students in Xi’an, China. · METHODS: From April to September 2012, 1 500 students from five universities in Xi’an were selected according to a multi -stage stratified cluster sampling method. Data on demographic features, lifestyle or dietary habits, health status, living environment conditions, sleep and mental status, and asthenopia symptoms were collected through a self -administered validated questionnaire. Univariate logistic regression and multivariate logistic regression analysis modified by the factor analysis were performed to evaluate risk factors for asthenopia. ·RESULTS: Fifty-seven percent of the college students complained of asthenopia. Statistically significant risk factors for asthenopia in the univariate analysis included 13 variables. Multivariate analysis revealed a significant relationship between the use of computer and asthenopia (OR 1.21, 95% CI: 1.09 to 1.35). Good sleep and mental status (OR 0.86, 95% CI: 0.76 to 0.97), good living environment conditions (OR 0.67, 95% CI: 0.60 to 0.76), and high intake of green leafy vegetables (OR 0.89, 95% CI: 0.80 to 0.98) were found to be strong predictors of decreasing the occurrence of asthenopia complaints. ·CONCLUSION: Asthenopia symptom appeares to be common among college students; and it is strongly associated with computer use, psychosocial state, environment conditions and dietary habits, suggesting that additional studies are warranted to verify these risk factors and establish prevention guidelines, especially for college students. ·

YOLOX-S声光信息融合目标识别算法

针对现代战场单一探测手段的局限性和单模态目标识别存在信息不全面、易受噪声干扰等缺点,提出一种融合声光两种模态的目标识别方法。该方法利用深度卷积残差网络对声纹信息的对数梅尔频谱系数特征进行提取,使用YOLOX-S网络对目标进行光学特征提取,并计算目标的像空间位置与类别信息,然后在YOLOX-S模型预测部分的解耦头中引入用于处理声音特征的支路,将目标的光学特性与声学特性在YOLOX-S检测头分类支路上进行空间归一化,使视觉数据与声纹数据在同一可拼接域上进行映射与融合,对目标的声光融合特征进行识别推理。在自建数据集上进行验证,实验结果表明声纹信息和图像信息融合可以提供更全面的感知能力,使得目标的检测和识别更加准确和可靠。

Clinical and Pathological Features of Riedel's Thyroiditis

Objective To evaluate the clinical and pathological features of Riedel's thyroiditis(RT),and current diagnostic and treatment methods for that disease.Methods Five RT cases identified by surgery and pathological examinations at Peking Union Medical College Hospital from 1985 to 2009 were analyzed and compared with the cases reported in the literature in terms of clinical and pathological features.Immunohistochemical staining of kappa and lambda light chains was carried out for RT tissues from all the five patients.Results All the five cases were females,aged 45-55 years.Elevation of serum thyroid autoantibodies was found in only one patient,who had longer disease duration than the others.Pathological examination revealed invasive fibrosclerosis of the thyroid follicles,thyroid capsule,and the surrounding tissues.In RT tissues,the number of cells containing lambda chains was a little higher than those containing kappa chains.Conclusions RT is a rare disease which might be more common in middle-aged females than in other populations.Pathological features include the destruction of thyroid follicle,extension into surrounding tissues by inflammatory cells and fibrous tissues.Immunohistochemical staining of kappa and lambda chains could help diagnose RT.

Parkinson’s Disease Classification Using Random Forest Kerb Feature Selection

Parkinson’s disease(PD)is a neurodegenerative disease cause by a deficiency of dopamine.Investigators have identified the voice as the underlying symptom of PD.Advanced vocal disorder studies provide adequate treatment and support for accurate PD detection.Machine learning(ML)models have recently helped to solve problems in the classification of chronic diseases.This work aims to analyze the effect of selecting features on ML efficiency on a voice-based PD detection system.It includes PD classification models of Random forest,decision Tree,neural network,logistic regression and support vector machine.The feature selection is made by RF mean-decrease in accuracy and mean-decrease in Gini techniques.Random forest kerb feature selection(RFKFS)selects only 17 features from 754 attributes.The proposed technique uses validation metrics to assess the performance of ML models.The results of the RF model with feature selection performed well among all other models with high accuracy score of 96.56%and a precision of 88.02%,a sensitivity of 98.26%,a specificity of 96.06%.The respective validation score has an Non polynomial vector(NPV)of 99.47%,a Geometric Mean(GM)of 97.15%,a Youden’s index(YI)of 94.32%,and a Matthews’s correlation method(MCC)90.84%.The proposed model is also more robust than other models.It was also realised that using the RFKFS approach in the PD results in an effective and high-performing medical classifier.

2024年1月23日乌什M_(S)7.1地震序列b值随时间演化特征

选取2024年1月23日乌什M_(S)7.1地震序列目录,利用最大似然法计算该地震序列b值大小,分析震中区b值随时间的演化特征,得到以下认识:①震中区b值在强余震前呈明显下降变化特征,但无法准确评估b值下降后强余震的发生次数;②b值能够反映研究区不同时间的应力水平,对强余震的预测具有一定指示意义。

Diffuse large B-cell lymphoma arising from follicular lymphoma with warthin’s tumor of the parotid gland-immunophenotypic and genetic features: A case report

BACKGROUND Warthin’s tumor(WT)is composed of several cysts that are lined with tall,bilayered oncocytic columnar cells and lymphoid stroma.Within WT,the two components rarely transform into carcinoma or lymphoma,and when it does,carcinoma is the most common type.Approximately 28 cases of lymphoma with WT have been reported,most of which were non-Hodgkin lymphomas,and only a few cases were Hodgkin lymphomas.In the present report,we studied a case of diffuse large B cell lymphoma(DLBCL)arising from follicular lymphoma(FL)with WT in the parotid gland and its immunophenotypic and genetic features.CASE SUMMARY A 67-year-old man presented with a slowly enlarging right cheek mass for 12 years,and the mass began to change in size over a 2-mo time period.Over time,the patient felt mild local pain and right cheek discomfort.His medical history included a hepatitis B virus infection for 20 years and 30 years of smoking.Gross examination of the excised specimen showed a gray-red and gray-white appearance and a soft texture lobulated external surface neoplasm that measured 9 cm×8 cm×7 cm and was well circumscribed by relative normal parotid gland tissue.In cross section,the cut surfaces of the neoplasm were multicystic and had a homogeneous scaly appearance.A small fluid was discovered in the cyst.Bilateral oxyphilic,cuboidal or polygonal epithelium cells and lymphoid intraparenchymal components were observed.Many medium-to large-sized lymphoid cells were observed diffusely in part of the neoplasm,and a few secondary lymphoid follicles were observed at the center or edge of the neoplasm.Immunohistochemical staining showed that the columnar oncocytic cells were positive for AE1/AE3;neoplastic cells located in coarctate follicular were positive for CD20,Pax-5,bcl-2 and bcl-6;and the adjacent diffusely medium-to large-sized lymphoid cells were positive for Pax-5,bcl-6,CD20,MUM-1,bcl-2 and CD79a.The bcl-6(3q27)break-apart rearrangement was observed,and an Epstein Barr virus test was negative in the tumor cells.The patient survived 6 months after being diagnosed without any treatment.CONCLUSION WT-associated lymphoma is a very rare neoplasm in the parotid gland.Most cases are B cell non-Hodgkin lymphomas and involve middle-age and older males.This case highlights the extremely rare association of DLBCL arising from FL with WT and the importance of deliberate evaluation of the WT intraparenchymal stroma.Molecular detection techniques have potential advantages in the diagnosis of lymphoma with WT.

改进YOLOX-S的偏光片表面缺陷检测算法

偏光片是液晶显示器的重要组成部分,其表面缺陷不仅会降低液晶显示器的显示质量,甚至可能造成整个液晶面板的报废。针对偏光片表面缺陷存在尺度差异大、形状变化多样的问题,提出一种改进YOLOX-S的偏光片表面缺陷检测算法。提出自适应平衡特征金字塔(ABFP)模块充分融合主干网提取的多级特征,并通过单个卷积增加检测分支,进一步增强模型的多尺度检测能力。在ABFP中引入注意力模块CBAM关注重要特征。采用CIo U损失函数的同时使用Mish激活函数替代Si LU激活函数。实验结果表明,改进的算法在偏光片表面缺陷数据集上的m AP_(50)和m AP_(50:95)分别达到92.97%和55.16%,相比YOLOX-S(FPN)提升了1.86和1.34个百分点,每秒检测帧数(FPS)达到50,基本满足工业实时检测的需求。

基于广义S变换和并联神经网络的结构损伤识别研究

目前在利用CNN网络提取特征的结构损伤识别研究中,仅仅利用1D-CNN和2D-CNN提取的特征进行损伤识别存在准确率低、识别效率不高等问题。提出了一种基于广义S变换和并联神经网络的结构损伤识别方法。为了丰富输入信号的特征维度,利用广义S变换将滤波后的信号转化成时频图,并同时将一维加速度响应信号和二维时频图分别输入1D-CNN和2D-CNN中进行时域和时频域特征提取,并在汇聚层进行特征拼接,然后通过FC层和Softmax层对损伤识别结果进行分类。利用IASC-ASCE SHM Benchmark结构第二阶段试验数据对所提出的并联网络模型进行验证,结果表明,所提出的网络模型与其他同类方法相比具有更高的识别精度和识别效率。

New Characteristics of College Students'Ideological Dynamics and Innovation of Ideological and Political Education Methods based on Psychological Education

Under the influence of social environment,the ideological dynamics of college students have tremendously changed.Among them,the biggest change is that the psychological reception mechanism is very different from the level of self-cognition.Since the report of the 17^(th) National Congress of the Commmist Party of China,the state has formed an agenda to strengthen the ideological and political education in colleges and universities,among which,it is important to reinforce humanistic care and psychological counseling.Mental health education is inextricably linked to the ideological and political education in colleges and universities.Therefore,this article begins in the perspective of psychological education,analyzes the ideological dynamic characteristics of college students,summarizes effective principles and important measures of ideological and political education innovation methods in order to maximize the constructive role of ideological and political education.

Clinical and pathological features of Devic’s neuromyelitis optica and multiple sclerosis in Chinese patients

BACKGROUND：Devic＇s neuromyelitis optica （DNMO） and multiple sclerosis in Asian populations have been considered to be the same disease. However, there is an increasing number of studies suggesting that DNMO and multiple sclerosis are different diseases.OBJECTIVE：Little information is available regarding comparisons of DNMO patients between China and other countries, as well as clinical manifestations of Chinese patients with DNMO and multiple sclerosis. The present study performed a multi-center, pathological, retrospective analysis.DESIGN, TIME AND SETTING：A retrospective analysis of clinical data from seven patients with DNMO diagnosed between 1957 and 1998.PARTICIPANTS：Data from Chinese DNMO patients was provided by the Shanghai Second Medical University, Sun Yat-sen University of Medical Sciences and the First Affiliated Hospital of Harbin Medical University in China.METHODS：Clinical and pathological data from Chinese patients with DNMO were retrospectively analyzed. The clinical characteristics of DNMO were compared between Chinese and Caucasian patients. In addition, clinical and pathological differences between DNMO and multiple sclerosis Chinese patients were compared.MAIN OUTCOME MEASURES：Clinical and pathological features of Chinese patients with DNMO.RESULTS：All seven Chinese patients with DNMO exhibited abrupt onset of vision disturbance, with a disease course of 3 clays to 9 years. DNMO recurred in two of the patients. Demyelinating lesions were observed in all patients, with necrotic lesions and gitter cells in five patients, collagenous hyperplasia in one patient, and perivascular inflammatory cell infiltration in six patients. Comparison between Chinese and Caucasian DNMO patients revealed no significant differences in age at onset, clinical onset, duration, or interval between optic neuritis and myelitis. Compared with Chinese multiple sclerosis patients, Chinese DNMO patients presented with fewer recurrences, higher occurrence of necrosis, perivascular inflammatory cell infiltration and gitter cells, and a lower occurrence of collagenous hyperplasia.CONCLUSION：There was no difference in DNMO clinical features between Chinese and Caucasian patients. However, the clinical and pathological features of DNMO were different compared with multiple sclerosis in Chinese patients. Results suggested that the characteristics of DNMO in Chinese patients were significantly different than multiple sclerosis.

A Procedure for Trisecting an Acute Angle (Method 2)

This paper presents an alternate graphical procedure (Method 2), to that presented in earlier publications entitled, “A Procedure for Trisecting an Acute Angle” and “A Key to Solving the Angle Trisection Problem”. The procedure, when applied to the 30˚ and 60˚ angles that have been “proven” to be nottrisectable and the 45˚ benchmark angle that is known to be trisectable, in each case produced a construction having an identical angular relationship with Archimedes’ Construction, as in Section 2 on THEORY of this paper, where the required trisection angle was found to be one-third of its respective angle (i.e. DE’MA = 1/3 DE’CG). For example, the trisection angle for the 30˚, 45˚ and 60˚ angles were 10.00000˚, 15.00000˚, and 20.00000˚, respectively, and Section 5 on PROOF in this paper. Therefore, based on this identical angular relationship and the numerical results (i.e. to five decimal places), which represent the highest degree of accuracy and precision attainable by The Geometer’s Sketch Pad software, one can only conclude that not only the geometric requirements for arriving at an exact trisection of the 30˚ and 60˚ angle (which have been “proven” to be not-trisectable) have been met, but also, the construction is valid for any arbitrary acute angle, despite theoretical proofs to the contrary by Wantzel, Dudley, and others.

Larval Instars and Division Features of Apriona germari

Apriona germari larvae were obtained via sample collection in woodland and indoor rearing. In this study, larval instars were divided by Dyar＇s law, and the results showed that the larval stage of A. germari comprised six instars, while the width of head capsule was the best instar-dividing structure. On the basis of instar division, tubercle numbers on the transverse furrow downside of first abdominal dorsal ambulatory ampullae, seta numbers of abdominal telson and lateral seta numbers of mandible were observed and statistically calculated. The accuracy of instar-dividing was verified by comparing with the Dyar＇s law. The coincidence rate of two instar-dividing results was 90. 47%. It is approved that the above morphological features could be used in instar division ofA. germari larvae.

Gly-LysPred: Identification of Lysine Glycation Sites in Protein Using Position Relative Features and Statistical Moments via Chou’s 5 Step Rule

Glycation is a non-enzymatic post-translational modification which assigns sugar molecule and residues to a peptide.It is a clinically important attribute to numerous age-related,metabolic,and chronic diseases such as diabetes,Alzheimer’s,renal failure,etc.Identification of a non-enzymatic reaction are quite challenging in research.Manual identification in labs is a very costly and timeconsuming process.In this research,we developed an accurate,valid,and a robust model named as Gly-LysPred to differentiate the glycated sites from non-glycated sites.Comprehensive techniques using position relative features are used for feature extraction.An algorithm named as a random forest with some preprocessing techniques and feature engineering techniques was developed to train a computational model.Various types of testing techniques such as self-consistency testing,jackknife testing,and cross-validation testing are used to evaluate the model.The overall model’s accuracy was accomplished through self-consistency,jackknife,and cross-validation testing 100%,99.92%,and 99.88%with MCC 1.00,0.99,and 0.997 respectively.In this regard,a user-friendly webserver is also urbanized to accumulate the whole procedure.These features vectorization methods suggest that they can play a critical role in other web servers which are developed to classify lysine glycation.