Analysis on Major Selection and Employment Situation of Minority Students

In recent years,due to the impact of university increase enrollment policy,the slowdown of global economic growth and other factors,the Students face employment pressure has become a general social problem.And minority university students have a huge disadvantage in employment direction compared with the other ordinary university students.Exploring the ways of minority university students'employability and major selection capability are helpful to find targeted solutions and it has impor tant practical value.

Error Analysis of English Pronunciation Acquisition by Chinese Non-English Majors

Chinese non-English majors are a large group of English learners.In the process of English pronunciation acquisition,issues such as incomplete phonological knowledge,transfer of mother tongue,and overgeneralization,lead to confusion of phonemes and stress,misunderstanding of syllable structure,and errors of assimilation,drop,and epenthesis.The accuracy of English pronunciation can only be improved by knowing both English and Chinese phonological systems,strengthening the teaching of English phonological knowledge,and adopting various phonological training activities.

Genetic Analysis of Major and Minor Gene(s) Resistant to Stripe Rust in Important Resource Wheat Line Jinghe891-1

Inheritance of line Jinghe891-l resistant to pathotype of Puccinia striiformis in two patterns of temperature (Normal: day 18℃ /night 10℃ , High: day 24℃ /night 15℃ )was studied in this paper. The results showed that there were at least two pairs of dominant major genes and one pair of recessive minor genes in Jinghe 891-1. The two pairs of major genes that conferred resistance to CY31 were allelic or linked closely with resistance gene in Jubilejna Ⅱ , Kangyin655 and T. spelta Album. They were novel resistance genes and were inherited in a repeated or independent mode. The minor genes, which could modify the major genes, were sensitive to temperature and conferred resistance to all pathotypes of Puccinia striiformis in China. It is recommended that this line can be used as an important resource stock.

Photoluminescence Analysis of Electron Damage for Minority Carrier Diffusion Length in GaInP/GaAs/Ge Triple-Junction Solar Cells

Photoluminescence（PL） measurements are carried out to investigate the degradation of GaInP top cell and GaAs middle cell for GaInP/GaAs/Ge triple-junction solar cells irradiated with 1.0, 1.8 and 11.5 MeV electrons with fluences ranging up to 3 × 10^15, 1 × 10^15 and 3 × 10^14 cm^-2, respectively. The degradation rates of PL intensity increase with the electron fluence and energy. Furthermore, the damage coefficient of minority carrier diffusion length is estimated by the PL radiative efficiency. The damage coefficient increases with the electron energy. The relation of damage coefficient to electron energy is discussed with the non-ionizing energy loss（NIEL）, which shows a quadratic dependence between damage coefficient and NIEL.

An Analysis of English Learning Motivation of Minority Students in Higher Vocational School

This paper analyzes the English learning motivation of minority students of non-English major.Minority students are a unique community in the higher vocational school because of their special background and psychology.It is essential for teachers to understand their motivation of learning English so as to save time and teach more efficiently.

Analysis of the Current Situation of Drug Clinical Trial Institutions in Shaanxi Province

To understand the current situation of institutional registration in Shaanxi Province after the implementation ofregistration system management in drug clinical trial institutions.Relevant information was collected on the“Announcement on the Accreditation of Drug Clinical Trial Institutions”issued by the National Medical Products Administration from 2005 to August 2022,the record management information system of drug and medical device clinical trial institutions,and the drug clinical trial registration and information publicity platform.A retrospective analysis was carried out in terms of institutional development,regional distribution,registered majors,principal investigators,and the number of drug clinical trials.After the implementation of institution registration,the number of drug clinical trial institutions in Shaanxi Province increased by 47.4%,884 principal investigators were registered,the number of registered majors expanded from 58 qualified to 117,and the professional scope increased by 50.4%.The policy of institution registration is conducive to promoting the rational use of medical resources and the development of drug clinical trial institutions and improving the healthy development of the pharmaceutical industry in Shaanxi Province.

Minor Component Analysis-based Landing Forecast System for Ship-borne Helicopter

The general structure of ship-borne helicopter landing forecast system is presented, and a novel ship motion prediction model based on minor component analysis (MCA) is built up to improve the forecast effectiveness. To validate the feasibility of this landing forecast system, time series for the roll, pitch and heave are generated by simulation and then forecasted based on MCA. Simulation results show that ship-borne helicopters can land safely in higher sea condition while carrying on rescue or replenishment tasks at sea in terms of the landing forecast system.

Evaluation Efficacy and Safety of Vortioxetine 20 mg/d versus Placebo for Treatment Major Depressive Disorder: A Systematic Review and Meta-Analysis of Randomized Controlled Trials

Major depressive disorder, a common debilitating illness, is one of the leading causes of disability and disease worldwide. Different drugs for the treatment of patients with major depression can be used. Vortioxetine for the treatment of major depressive disorder was approved by the Food and Drug Administration (FDA) in 2013. This study aimed to evaluation efficacy and safety Vortioxetine 20 mg/d compared placebo in major depressive disorder. To conduct this study, we searched Pub Med, Cochrane library, Scopus, and Central Register of Controlled Trials. This study by including randomized controlled trials (RCTs) that evaluated this study by including randomized controlled trials (RCTs) that evaluated Vortioxetine 20 mg/d in patients with major depressive disorder. Data analysis was conducted by standard mean different ratios (SMD) with 95% confidence intervals (CIs), P values and odds ratios (ORs) for adverse events with 95% confidence intervals (CIs) and P values;heterogeneity testing and sensitivity analysis was also performed in this study. We found that 4 articles met the inclusion criteria and were finally used for this meta-analysis. Results showed statistical significance in the MADRS (Montgomery-&Aringsberg Depression Rating Scale), SMD = -4.75 with 95% CI [-6.84, -2.65] and P value < 0.00001), for Clinical Global Impression Scale-Improvement (CGI-I) SMD was -4.34 with 95% CI [-6.41, -2.27] and P value < 0.00001, and for Sheehan Disability Scale (SDS) SMD was -2.62 with 95% CI [-3.99, -1.25] and P value < 0.00001. The pooled analysis for safety demonstrated for diarrhea OR = 0.92 with 95% CI [0.46, 1.83] , P value = 0.09, for dry mouth OR = 1.74 with 95% CI [1.07, 2.83] , P value = 0.80, for dizziness OR = 1.62 with 95% CI [0.72, 3.66] , P value = 0.05, for fatigue OR = 1.17 with 95% CI [0.34, 4.08], P value = 0.07, for headache OR = 1.28 with 95% CI [0.91, 1.79], P value = 0.60 and for nausea OR = 4.78 with 95% CI [3.43, 6.67], P value = 0.61. Vortioxetine 20 mg/d versus placebo showed a significant difference for nausea and dry mouth, but no significant differences were observed for the four adverse effects. In several studies of the drug Vortioxetine 20 mg/d, the treatment of major depressive illness has been more effective for evaluating the effectiveness of this drug, which must be more clinical studies of sound.

Joint Analysis Method for Major Genes Controlling Multiple Correlated Quantitative Traits

Based on the major gene and polygene mixed inheritance model for multiple correlated quantitative traits, the authors proposed a new joint segregation analysis method of major gene controlling multiple correlated quantitative traits, which include major gene detection and its effect and variation estimation. The effect and variation of major gene are estimated by the maximum likelihood method implemented via expectation-maximization （EM） algorithm. Major gene is tested with the likelihood ratio （LR） test statistic. Extensive simulation studies showed that joint analysis not only increases the statistical power of major gene detection but also improves the precision and accuracy of major gene effect estimates. An example of the plant height and the number of tiller of F2 population in rice cross Duonieai x Zhonghua 11 was used in the illustration. The results indicated that the genetic difference of these two traits in this cross refers to only one pleiotropic major gene. The additive effect and dominance effect of the major gene are estimated as -21.3 and 40.6 cm on plant height, and 22.7 and -25.3 on number of tiller, respectively. The major gene shows overdominance for plant height and close to complete dominance for number of tillers.

A New Algorithm for Generalized Least Squares Factor Analysis with a Majorization Technique

Factor analysis (FA) is a time-honored multivariate analysis procedure for exploring the factors underlying observed variables. In this paper, we propose a new algorithm for the generalized least squares (GLS) estimation in FA. In the algorithm, a majorization step and diagonal steps are alternately iterated until convergence is reached, where Kiers and ten Berge’s (1992) majorization technique is used for the former step, and the latter ones are formulated as minimizing simple quadratic functions of diagonal matrices. This procedure is named a majorizing-diagonal (MD) algorithm. In contrast to the existing gradient approaches, differential calculus is not used and only elmentary matrix computations are required in the MD algorithm. A simuation study shows that the proposed MD algorithm recovers parameters better than the existing algorithms.

Efficacy and Safety of Vortioxetine and Duloxetine 60 mg Compared Placebo for the Treatment of Major Depressive Disorder: A Systematic Review and Meta-Analysis

Background: Major depressive disorder is a serious public health problem affecting the lives of millions in the worldwide and leading causes of disability and disease. This study aimed to evaluate the efficacy and safety of Vortioxetine and Duloxetine 60 mg compared to placebo for the treatment of major depressive disorder. Method: We searched the Cochrane library, Pub Med, CRD, Scopus, and Central Register of Controlled Trials to January 2015. We also searched ClinicalTrials.gov, International depressive disorder Conference and the Anxiety Disorders and Depression Conference. We identified that five randomized clinical trials were ultimately included in a Meta analysis. Data analysis was conducted by Standardized Mean Differences (SMD) for Montgomery-&Aring;sberg Depression Rating Scale (MADRS), and Odds Ratio (OR) for adverse events. The SMD and OR reported by 95% CI. Results: Results showed statistical significance in the MADRS for Vortioxetine (SMD = ﹣3.29;95% CI ﹣4.47 to ﹣2.10;I2 = 99.3%) and for Duloxetine 60 mg (SMD = ﹣6.35;95% CI ﹣8.84, ﹣3.87;I2 = 99.3%). Results showed that the Vortioxetine 2.5, 5, 10, 15, 20 mg and overall compared to placebo showed a significance for Nausea and no significance for diarrhea, dry mouth, dizziness, fatigue and headache. Also results of Duloxetine 60 mg showed a significant effect for dry mouth, dizziness, fatigue and nausea. Conclusion: It is necessary to do more studies so as to better assess and much more powerful than the evidence for the use of this drug in the treatment of depression.

An Analysis of the Misuse of Definite Article THE of English Majors

The acquisition and usage of definite article THE has always gained attention from scholars from domestic and overseas due to its difficulty of learning and mastering. As a result, the relative study of definite article THE acquisition has been one of the the most significant tasks of second language acquisition all the time. For English majors, the acquisition of definite articles THE runs through the whole process of language learning and application. Learner＇ s version of foreign language, known as interlanguage, is a kind of language that exists between the mother tongue （Chinese） and the target language （English）. Interlanguage is a systematic unit which changes and develops constantly. Since definite article THE has rather complex and frequently altered usage, it is inevitable that there are a throng of misuse and problems for English majors when they are using definite article THE. This paper intends to do a survey focusing on English majors＇ application situation of definite article THE. Through analyzing the common misuse and mistakes appeared when English majors are using definite article THE, this paper aims to summerize the FAQ （frequently asked questions） and causes of those misuses. At the same time, the 100 experimental subjects of this survey are equally and randomly chosen from freshmen and third year students of foreign languages college, OUC （Ocean University of China）. By comparing the experimental results of two different grade English major students, this paper aims to demonstrate the influence of different grades on the mastering of definite articles THE of English majors.

Interlanguage Error Analysisand Teaching for English Majors

Interlanguage is a unique and changing language system in the process of the second language learners learning the target language. With the improvement of learning, interlanguage gradually approaches to the correct form of target language. However, due to the differences between target language and native language, errors will inevitably occur in the course of study. Error analysis requires language teachers to analyze the language learners' errors and guide teaching the language.

An Analysis of English Majors' Mobile Micro Vocabulary Learning

Though numerous English learning researches have been done for English majors,there is not fairly enough analysis ofEnglish mobile micro learning especially in vocabulary.Based on the condition,the author tries to analyze the feasibility of Englishmajors’vocabulary learning via mobile devices based on mobile micro learning mode in the way of questionnaire survey.In theend,the result of the research proves that it could be feasible to adopt mobile micro learning mode in English majors’vocabularylearning.

Needs Analysis of Non-English Majors Taking Business English as An Optional Course

The course design of business English as an optional course to Non-English majors should be based on needs analysis.A survey is conducted in the form of a questionnaire in this paper to find out about the needs of the non-English majors taking the course.Implications are provided for the future course design of business English as an optional course.

Error Analysis of English Pronunciation of Non-English Majors

In English study,pronunciation not only influences daily communication,but also influences listening,reading and writ⁃ing ability.However,modern English education overly focuses on the uses of vocabularies and grammars,and it is short of the prac⁃tice of pronunciation.Therefore,English pronunciation errors become a common problem among non-English majors.The focus of this research is on analyzing the errors of English pronunciation through sampling thirty non-English majors in college.Based on error analysis theory,and with the assistance of pronunciation test,this study figured out several types of non-English majors’pro⁃nunciation errors in pronunciation,stress,tone and intonation these dimensions.

Are“Internet+”tactics the key to poverty alleviation in China’s rural ethnic minority areas? Empirical evidence from Sichuan Province

China has made great efforts to alleviate poverty in rural ethnic minority areas and targeted achieving the poverty-alleviation task by the end of 2020.Aba,Ganzi,and Liangshan,three of the poorest ethnic prefectures in Sichuan Province,Southwest China,have all implemented“Internet+”tactics since 2013,which have had the positive effect of increasing family revenues by improving communication infrastructure and encouraging the large-scale use of e-commerce.This paper aims to comprehensively investigate whether“Internet+”tactics play a key role in poverty alleviation in Sichuan’s rural ethnic minority areas and to propose further measures to enhance the efficiency of e-commerce practice.To this end,we conduct an analysis using the framework of classic growth theory and use panel data from 2000 to 2018 to examine the relationship between Communication Infrastructure Investment(CII)and a set of poverty-alleviation indicators,including local GDP growth rate(LGGR),local government revenue(LGR),and per-capita income of residents(PCIR).The results indicate that strengthening CII improves the PCIR and local economic growth,playing a key role in poverty alleviation.However,the stimulation of CII on LGGR and LGR wanes as time passes.More financial and technical actions will be needed to improve the efficiency and quality of current strategies for sustainable development in those areas.

Deep Learning Based Sentiment Analysis of COVID-19 Tweets via Resampling and Label Analysis

Twitter has emerged as a platform that produces new data every day through its users which can be utilized for various purposes.People express their unique ideas and views onmultiple topics thus providing vast knowledge.Sentiment analysis is critical from the corporate and political perspectives as it can impact decision-making.Since the proliferation of COVID-19,it has become an important challenge to detect the sentiment of COVID-19-related tweets so that people’s opinions can be tracked.The purpose of this research is to detect the sentiment of people regarding this problem with limited data as it can be challenging considering the various textual characteristics that must be analyzed.Hence,this research presents a deep learning-based model that utilizes the positives of random minority oversampling combined with class label analysis to achieve the best results for sentiment analysis.This research specifically focuses on utilizing class label analysis to deal with the multiclass problem by combining the class labels with a similar overall sentiment.This can be particularly helpful when dealing with smaller datasets.Furthermore,our proposed model integrates various preprocessing steps with random minority oversampling and various deep learning algorithms including standard deep learning and bi-directional deep learning algorithms.This research explores several algorithms and their impact on sentiment analysis tasks and concludes that bidirectional neural networks do not provide any advantage over standard neural networks as standard Neural Networks provide slightly better results than their bidirectional counterparts.The experimental results validate that our model offers excellent results with a validation accuracy of 92.5%and an F1 measure of 0.92.

Spectral deconvolution analysis on Olivine-Orthopyroxene mixtures with simulated space weathering modifications

Olivine and pyroxene are important mineral end-members for studying the surface material compositions of mafic bodies.The profiles of visible and near-infrared spectra of olivine-orthopyroxene mixtures systematically vary with their composition ratios.In our experiments,we combine the RELAB spectral database with new spectral data obtained from some assembled olivine-orthopyroxene mixtures.We found that the commonly-used band area ratio(BAR,Cloutis et al.)does not work well on our newly obtained spectral data.To investigate this issue,an empirical procedure based on fitted results by a modified Gaussian model is proposed to analyze the spectral curves.Following the new empirical procedure,the endmember abundances can be estimated with a 15%accuracy with some prior mineral absorption features.In addition,the mixture samples configured in our experiments are also irradiated by pulsed lasers to simulate and investigate the space weathering effects.Spectral deconvolution results confirm that low-content olivine on celestial bodies is difficult to measure and estimate.Therefore,the olivine abundance of space weathered materials may be underestimated from remote sensing data.This study may be utilized to quantify the spectral relationship of olivine-orthopyroxene mixtures and further reveal their correlation between the spectra of ordinary chondrites and silicate asteroids.

A Comparative Analysis of Sino-Thai College English Course Teaching——A Case of Comparison between Jiujiang University and Chiang Mai University

English is one of the most common languages in the world,and it has become one of the most important subjects in various countries.The native languages of China and Thailand are not English,and both countries are located in Asia and have many similarities in geographical location and cultural background.The Ministries of Education of the two countries have successively put forward relevant policies to promote the development of English education in the country.The implementation of these policies has promoted the development of college English course teaching in the country.These factors determine that the two countries have similarities in college English course teaching for Non-English majors.However,there are differences in teaching mode and teaching staff in the two countries because of their different national conditions,which make many differences,exist in college English course teaching for non-English majors in the two countries.During the author’s career as an exchange student in Chiang Mai University,she experienced the difference of college English course teaching for non-English majors in Thai universities,so the author did some researches on the basis of the understanding of English course teaching in Thai universities.Therefore,this thesis takes Sino-Thai college English course teaching for non-English majors as the research object—takes Jiujiang University and Chiang Mai University as example,and analyses their present situation from the aspects of the development and evolution,the teaching mode,and teaching staff of college English course teaching for non-English majors.On this basis,the author makes a comparative analysis of the English course teaching for non-English majors in two selected universities,then find their respective advantages and disadvantages,and put forward some suggestions on the development of Sino-Thai college English course teaching.