Working Together to Build a Bright Future

MARKING the 20th anniversary of diplomatic relations between China and South Africa,2018 is a fruitful year for high-level bilateral exchanges and pragmatic cooperation.The two heads of state first met at the 10th BRICS Summit in Johannesburg in late July,and later gathered at

Research on the Optimal Strategy of"Working Together with One Heart"Project

The"Working Together with One Heart"project,also known as the"One Heart Drum"project,is a collaboration skill development project,which assesses the collaboration skills of its team members.In this paper,the method of combining actual problems with physical model analysis is used to determine the influence of different factors in the project operation,and a geometric analysis model is also established.Through MATLAB simulation and assignment operation,the optimal strategy of the project is finally obtained.

Working Together To Meet Public Health Security Challenges And Build The Health Silk Road Silk Road Think Tank Association Thematic Cloud Forum

A Silk Road Think Tank Association Thematic Cloud Forum hosted by Silk Road Think Tank Association and co-organized by China Center for Contemporary World Studies(CCCWS)of International Department,CPC Central Committee and Chongyang Institute of Financial Studies,Renmin University of China was held in Beijing on April 24,2020.

WORKING TOGETHER FOR PEOPLE-TO-PEOPLE CONNECTIVITY AND RESULT-ORIENTED IMPLEMENTATION ABOUT THE THEMATIC FORUM ON PEOPLE-TO-PEOPLE CONNECTIVITY OF THE SECOND BELT AND ROAD FORUM FOR INTERNATIONAL COOPERATION

On 25 April 2019,guests from around the world gathered together in the blossoming season of spring for the Thematic Forum on People-to-People Connectivity of the second Belt and Road Forum for International Cooperation(BRF)held at China National Convention Center.This event,one of the 12 thematic forums,was organized by the International Department of the CPC Central Committee and co-organized by 17 other ministries including the Office of the Central Guidance Commission for Building Spiritual Civilizations and the National Development and Reform Commission.It attracted 130 plus international guests from 61 countries of five continents.

WORKING TOGETHER ON GLOBAL ECOLOGICAL CIVILIZATION

When addressing the general debate of the 76th session of the United Nations General Assembly,Chinese President Xi Jinping proposed a Global Development Initiative seeking to promote harmony between man and nature.He called for efforts to improve global environmental governance,actively respond to climate change,and create a community of life for man and nature.President Xi also noted the need to accelerate the transition to a green and low-carbon economy and achieve green recovery and development.

Working condition recognition of sucker rod pumping system based on 4-segment time-frequency signature matrix and deep learning

High-precision and real-time diagnosis of sucker rod pumping system(SRPS)is important for quickly mastering oil well operations.Deep learning-based method for classifying the dynamometer card(DC)of oil wells is an efficient diagnosis method.However,the input of the DC as a two-dimensional image into the deep learning framework suffers from low feature utilization and high computational effort.Additionally,different SRPSs in an oil field have various system parameters,and the same SRPS generates different DCs at different moments.Thus,there is heterogeneity in field data,which can dramatically impair the diagnostic accuracy.To solve the above problems,a working condition recognition method based on 4-segment time-frequency signature matrix(4S-TFSM)and deep learning is presented in this paper.First,the 4-segment time-frequency signature(4S-TFS)method that can reduce the computing power requirements is proposed for feature extraction of DC data.Subsequently,the 4S-TFSM is constructed by relative normalization and matrix calculation to synthesize the features of multiple data and solve the problem of data heterogeneity.Finally,a convolutional neural network(CNN),one of the deep learning frameworks,is used to determine the functioning conditions based on the 4S-TFSM.Experiments on field data verify that the proposed diagnostic method based on 4S-TFSM and CNN(4S-TFSM-CNN)can significantly improve the accuracy of working condition recognition with lower computational cost.To the best of our knowledge,this is the first work to discuss the effect of data heterogeneity on the working condition recognition performance of SRPS.

Design and optimization of fluid lubricated bearings operated with extreme working performances——a comprehensive review

Fluid lubricated bearings have been widely adopted as support components for high-end equipment in metrology,semiconductor devices,aviation,strategic defense,ultraprecision manufacturing,medical treatment,and power generation.In all these applications,the equipment must deliver extreme working performances such as ultraprecise movement,ultrahigh rotation speed,ultraheavy bearing loads,ultrahigh environmental temperatures,strong radiation resistance,and high vacuum operation,which have challenged the design and optimization of reliable fluid lubricated bearings.Breakthrough of any related bottlenecks will promote the development course of high-end equipment.To promote the advancement of high-end equipment,this paper reviews the design and optimization of fluid lubricated bearings operated at typical extreme working performances,targeting the realization of extreme working performances,current challenges and solutions,underlying deficiencies,and promising developmental directions.This paper can guide the selection of suitable fluid lubricated bearings and optimize their structures to meet their required working performances.

Relationship between physical activity and specific working memory indicators of depressive symptoms in university students

BACKGROUND The detection rate of depression among university students has been increasing in recent years,becoming one of the main psychological diseases that endangers their physical and mental health.According to statistics,self-harm and suicide,for which there is no effective intervention,are the second leading causes of death.AIM To explore the relationship between different elements and levels of physical activity and college students’depression-symptom-specific working memory indicators.METHODS Of 143 college students were analyzed using the Beck Depression Self-Rating Scale,the Physical Activity Rating Scale,and the Working Memory Task.RESULTS There was a significant difference between college students with depressive symptoms and healthy college students in completing verbal and spatial working memory(SWM)tasks correctly(all P<0.01).Physical Activity Scale-3 scores were significantly and positively correlated with the correct rate of the verbal working memory task(r=0.166)and the correct rate of the SWM task(r=0.210)(all P<0.05).There were significant differences in the correct rates of verbal and SWM tasks according to different exercise intensities(all P<0.05)and different exercise durations(all P<0.05),and no significant differences in the correct rates of verbal and SWM tasks by exercise frequency(all P>0.05).CONCLUSION An increase in physical exercise among college students,particularly medium-and high-intensity exercise and exercise of 30 min or more,can improve the correct rate of completing working memory tasks.

The Impact of the Digital Economy on Rural Residents’Working Hours:Mechanisms and Empirical Evidence

The rapid development of the digital economy has provided a new impetus for rural residents to extend their working hours.Based on the data collected by the China Labor-force Dynamics Survey(CLDS)in 2014,2016,and 2018,this paper measured the development level of the digital economy in China from the perspectives of internet development and digital financial inclusion,and tested the mechanisms of how the digital economy affected rural residents’working hours.The results showed that the digital economy extended rural residents’working hours by expanding information channels and enhancing human capital,and this mechanism was affected by heterogeneity in rural residents’educational background,age,and social capital.Building on these findings,this paper holds that to increase rural residents’income by extending their working hours and achieving common prosperity for all,it is necessary to expand the opportunities for rural residents to participate in skills training and promote their accumulation of human capital.

Working Together to Usher in the Second "Golden Decade" of BRICS Cooperation

At the Opening Ceremony of The BRICS Business Forum Xiamen,3 September 2017 Your Excellency President Michel Temer,Your Excellency President Jacob Zuma,Representatives of the Business Community,Ladies and Gentlemen,Dear Friends,Good afternoon.It is my great pleasure to have all of you with us in the beautiful city of Xiamen,renowned as the'Egret Island'.The BRICS Summit will be held tomorrow.On behalf of the Chinese government and people and the people of Xiamen,and also in my own name,I warmly welcome all of you to the Business Forum.

Working Together to Boost Common Peace and Prosperity

At the 2017 Commemoration of the International Day of Peace 4 September 2017 Distinguished Guests,Ladies and Gentlemen,Dear Friends,In this lovely season,I wish to extend the warmest welcome to all of you,distinguished guests from different organizations in Poland and China to attend the 2017 Commemoration of the International Day of Peace in beautiful Warsaw.

Working Together for a New Chapter of Win-win Cooperation in the Asia-Pacific

President Tran Dai Quang,Dear Colleagues,I wish to thank President Tran Dai Quang and the Vietnamese government for their thoughtful arrangements.Vietnam was hit by Typhoon Damrey a few days ago,resulting in heavy

Working Model在高中物理教学中的应用——以力学模型为例

基于Working Model的仿真实验功能,结合几个常见的力学运动模型展示Working Model在中学物理教学中的用途.利用Working Model将运动过程直观呈现,同时以数值、矢量、动态图像等输出形式将位移、速度和加速度等物理量同步反馈,以此进一步探究物理规律.

Few-shot working condition recognition of a sucker-rod pumping system based on a 4-dimensional time-frequency signature and meta-learning convolutional shrinkage neural network

The accurate and intelligent identification of the working conditions of a sucker-rod pumping system is necessary. As onshore oil extraction gradually enters its mid-to late-stage, the cost required to train a deep learning working condition recognition model for pumping wells by obtaining enough new working condition samples is expensive. For the few-shot problem and large calculation issues of new working conditions of oil wells, a working condition recognition method for pumping unit wells based on a 4-dimensional time-frequency signature (4D-TFS) and meta-learning convolutional shrinkage neural network (ML-CSNN) is proposed. First, the measured pumping unit well workup data are converted into 4D-TFS data, and the initial feature extraction task is performed while compressing the data. Subsequently, a convolutional shrinkage neural network (CSNN) with a specific structure that can ablate low-frequency features is designed to extract working conditions features. Finally, a meta-learning fine-tuning framework for learning the network parameters that are susceptible to task changes is merged into the CSNN to solve the few-shot issue. The results of the experiments demonstrate that the trained ML-CSNN has good recognition accuracy and generalization ability for few-shot working condition recognition. More specifically, in the case of lower computational complexity, only few-shot samples are needed to fine-tune the network parameters, and the model can be quickly adapted to new classes of well conditions.

Working Together for New Progress of Security and Development in Asia Remarks at the Fifth Summit of the Conference on Interaction and Confidence-Building Measures in Asia

Dushanbe,15 June 2019 Your Excellency President Emomali Rahmon,Dear Colleagues,It is my great pleasure to attend the Fifth Summit of the Conference on Interaction and Confidence-Building Measures in Asia(CICA)here in Dushanbe.I wish to thank the Tajikistan side for being such a thoughtful and hospitable host.

WORKING TOGETHER, DEVELOPING TOGETHER

Niyaz studied in China and now works as the assistant manager of the business planning department at CNPC International (Turkmenistan), the biggest gas company overseas of the energy giant China National Petroleum Corporation (CNPC), in his home country of Turkmenistan. Since he started at the company in 2008, Niyaz has grown from a layman to an expert who has been chosen as the compan's outstanding employee nine times.

Working Together to Realize Rejuvenation of the Chinese Nation and Advance China’s Peaceful Reunification Speech at the Meeting Marking the 40th Anniversary of the Issuance of the Message to Compatriots in Taiwan January 2, 2019

Comrades,my compatriots,and friends,Today,we are meeting here to solemnly commemorate the 40th anniversary of the issuance of the Message to Compatriots in Taiwan by the Standing Committee of the National People’s Congress.As a new year begins,on behalf of the people on the mainland,I extend sincere greetings and best wishes to our compatriots in Taiwan.

Study of energy-efficient heat resistance and cooling technology for high temperature working face with multiple heat sources in deep mine

In the present research,we proposed a scheme to address the issues of severe heat damage,high energy consumption,low cooling system efficiency,and wastage of cold capacity in mines.To elucidate the seasonal variations of environmental temperature through field measurements,we selected a high-temperature working face in a deep mine as our engineering background.To enhance the heat damage control cability of the working face and minimize unnecessary cooling capac-ity loss,we introduced the multi-dimensional heat hazard prevention and control method called"Heat source barrier and cooling equipment".First,we utilize shotcrete and liquid nitrogen injection to eliminate the heat source and implemented pressure equalization ventilation to disrupt the heat transfer path,thereby creating a heat barrier.Second,we establish divi-sional prediction models for airflow temperature based on the variation patterns obtained through numerical simulation.Third,we devise the location and dynamic control strategy for the cooling equipment based on the prediction models.The results of field application show that the heat resistance and cooling linkage method comply with the safety requirement throughout the entire mining cycle while effectively reducing energy consumption.The ambient temperature is maintained below 30℃,resulting in the energy saving of 10%during the high-temperature period and over 50%during the low-temperature period.These findings serve as a valuable reference for managing heat damage in high-temperature working faces.

Research on the dynamic response of connecting rod bearing bush wear of reciprocating machine under variable working conditions

As a type of reciprocating machine, the reciprocating compressor has a compact structure and many excitation sources.Once the small end bearing of the connecting rod is worn, it is easy to cause the sintering of the bearing and the abnormal vibration of the body.Based on the characteristics of poor lubrication state and complex force of connecting rod small head bearing, a mixed lubrication model considering oil groove feed was established, and the dynamic simulation of the reciprocating compressor model with lubricated bearings was carried out;considering different speeds and gas load conditions, the law of the impact of the eigenvalues changing with working conditions was explored.The fault simulation experiment was carried out by selecting representative working conditions, which verified the correctness of the simulation method.The study found that two contact collisions between the pin and the bearing bush occurred in one cycle, the collision impact was more severe under the wear fault, and the existence of the gap made the dynamic response more sensitive to the change of working conditions.This research provides ideas for the location and feature extraction of fault symptom signal angular segments in the process of complex measured signal processing.

The laparoscopic rating scale for the evaluation of working conditions for surgical treatment of super-obesity

In this technical note,a novel rating scale(abdominal integral index)was introduced for assessing the conditions of the working laparoscopic space based on linear measurements to select the optimal one or two-stage surgical treatment for super-obesity.Patients with the same height and similar BMI values had different rating scale scores,reflecting different conditions of laparoscopic bariatric surgery.The rating scale helps surgeons and patients make a safe option for surgery,depending on the experience of the surgeon and technical laparoscopic conditions.