CHINESE President Xi Jinping’s attendance at the 25th APEC Economic Leaders’Meeting and his state visits to Vietnam and Laos from November 10 to14 marked his first overseas trip after the 19th CPC National Congress,...CHINESE President Xi Jinping’s attendance at the 25th APEC Economic Leaders’Meeting and his state visits to Vietnam and Laos from November 10 to14 marked his first overseas trip after the 19th CPC National Congress,charting a new course for China’s diplomacy with its own characteristics in the new era.展开更多
Should the government or the market determine resource allocation? China Economist (CE):The financial crisis that originated in the U.S.continues to brew around the world and has severely
English business correspondence plays an important role in business activities. People take it for granted that it should be cautious and accurate,but neglect the necessity and importance of vague language. Therefore,...English business correspondence plays an important role in business activities. People take it for granted that it should be cautious and accurate,but neglect the necessity and importance of vague language. Therefore, it is very important to apply vague language to English business correspondence.展开更多
If it is to continue its rapid development and achieve its strategic development goals, China must foster the innovative talents of a new generation. It should do this through the reform of science education, and ther...If it is to continue its rapid development and achieve its strategic development goals, China must foster the innovative talents of a new generation. It should do this through the reform of science education, and thereby promote the development of science and technology, and the country’s economy and society. To this end, Academic Divisions of the Chinese Academy of Sciences (CAS) have organized CAS members to undertake a study of science education in China, and set up a research group to conduct a full investigation. They have also organized symposiums, which展开更多
On October 12, 2008, a train- ing school for orphans was inaugurated at Nanshanggang Village, Fangshan District,Beijing Municipality. ＂Ours is not an ordinary orphanage,＂ said school official Zhang Mei. ＂It aims to...On October 12, 2008, a train- ing school for orphans was inaugurated at Nanshanggang Village, Fangshan District,Beijing Municipality. ＂Ours is not an ordinary orphanage,＂ said school official Zhang Mei. ＂It aims to produce members of the social elite by letting orphans grow in love and warmth characteristic of wholesome families.＂展开更多
Nowadays, in data science, supervised learning algorithms are frequently used to perform text classification. However, African textual data, in general, have been studied very little using these methods. This article ...Nowadays, in data science, supervised learning algorithms are frequently used to perform text classification. However, African textual data, in general, have been studied very little using these methods. This article notes the particularity of the data and measures the level of precision of predictions of naive Bayes algorithms, decision tree, and SVM (Support Vector Machine) on a corpus of computer jobs taken on the internet. This is due to the data imbalance problem in machine learning. However, this problem essentially focuses on the distribution of the number of documents in each class or subclass. Here, we delve deeper into the problem to the word count distribution in a set of documents. The results are compared with those obtained on a set of French IT offers. It appears that the precision of the classification varies between 88% and 90% for French offers against 67%, at most, for Cameroonian offers. The contribution of this study is twofold. Indeed, it clearly shows that, in a similar job category, job offers on the internet in Cameroon are more unstructured compared to those available in France, for example. Moreover, it makes it possible to emit a strong hypothesis according to which sets of texts having a symmetrical distribution of the number of words obtain better results with supervised learning algorithms.展开更多
Classifying job offers into occupational categories is a fundamental task in human resource information systems,as it improves and streamlines indexing,search,and matching between openings and job seekers.Comprehensiv...Classifying job offers into occupational categories is a fundamental task in human resource information systems,as it improves and streamlines indexing,search,and matching between openings and job seekers.Comprehensive occupational databases such as O∗NET or ESCO provide detailed taxonomies of interrelated positions that can be leveraged to align the textual content of postings with occupational categories,thereby facilitating standardization,cross-system interoperability,and access to metadata for each occupation(e.g.,tasks,knowledge,skills,and abilities).In this work,we explore the effectiveness of fine-tuning existing language models(LMs)to classify job offers with occupational descriptors from O∗NET.This enables a more precise assessment of candidate suitability by identifying the specific knowledge and skills required for each position,and helps automate recruitment processes by mitigating human bias and subjectivity in candidate selection.We evaluate three representative BERT-like models:BERT,RoBERTa,and DeBERTa.BERT serves as the baseline encoder-only architecture;RoBERTa incorporates advances in pretraining objectives and data scale;and DeBERTa introduces architectural improvements through disentangled attention mechanisms.The best performance was achieved with the DeBERTa model,although the other models also produced strong results,and no statistically significant differences were observed acrossmodels.We also find that these models typically reach optimal performance after only a few training epochs,and that training with smaller,balanced datasets is effective.Consequently,comparable results can be obtained with models that require fewer computational resources and less training time,facilitating deployment and practical use.展开更多
Human spinal cord organoids(hSCOs)offer a promising platform to study neurotrauma by addressing many limitations of traditional research models.These organoids provide access to human-specific physiological and geneti...Human spinal cord organoids(hSCOs)offer a promising platform to study neurotrauma by addressing many limitations of traditional research models.These organoids provide access to human-specific physiological and genetic mechanisms and can be derived from an individual's somatic cells(e.g.,blood or skin).This enables patient-specific paradigms for precision neurotrauma research,pa rticula rly relevant to the over 300,000 people in the United States living with chronic effects of spinal cord injury(SCI).展开更多
Laser wakefield accelerators(LWFAs)offer acceleration gradients up to 1000 times higher than those of conventional radio-frequency accelerators,offering a pathway to significantly more compact and cost-effective accel...Laser wakefield accelerators(LWFAs)offer acceleration gradients up to 1000 times higher than those of conventional radio-frequency accelerators,offering a pathway to significantly more compact and cost-effective accelerator systems.This breakthrough opens up new possibilities for laboratory-scale light sources.All-optical inverse Compton scattering(AOCS)sources driven by LWFAs produce high-brightness,quasimonochromatic X rays with micrometer-scale source sizes,delivering the spatial coherence and resolution required for X-ray phase-contrast imaging(XPCI).These features position AOCS X-ray sources as promising tools for applications in biology,medicine,physics,and materials science.However,previous AOCS-based imaging studies have primarily focused on X-ray absorption imaging.In this work,we report successful experimental demonstrations of edge-enhanced in-line XPCI using energy-tunable,quasi-monochromatic AOCS X rays.With a spatial resolution of~20μm,our results clearly show the potential of high-resolution,AOCS-based XPCI applications.展开更多
James Peck, visiting professor at New York University and founder of the Culture and Civilization of China project at Yale University Press and the China International Publishing Group, shared his views on China＇s ri...James Peck, visiting professor at New York University and founder of the Culture and Civilization of China project at Yale University Press and the China International Publishing Group, shared his views on China＇s rising role in dealing with global inequality in a world dominated by the U.S.-centric globalism. An edited excerpt of his article follows：展开更多
Chinese Foreign Ministry spokeswoman Jiang Yu announced the government’s decision to provide Mexico with humanitarian aid on April 29 in Beijing. The Chinese Government has offered $5 million in emergency
文摘CHINESE President Xi Jinping’s attendance at the 25th APEC Economic Leaders’Meeting and his state visits to Vietnam and Laos from November 10 to14 marked his first overseas trip after the 19th CPC National Congress,charting a new course for China’s diplomacy with its own characteristics in the new era.
文摘Should the government or the market determine resource allocation? China Economist (CE):The financial crisis that originated in the U.S.continues to brew around the world and has severely
文摘English business correspondence plays an important role in business activities. People take it for granted that it should be cautious and accurate,but neglect the necessity and importance of vague language. Therefore, it is very important to apply vague language to English business correspondence.
文摘If it is to continue its rapid development and achieve its strategic development goals, China must foster the innovative talents of a new generation. It should do this through the reform of science education, and thereby promote the development of science and technology, and the country’s economy and society. To this end, Academic Divisions of the Chinese Academy of Sciences (CAS) have organized CAS members to undertake a study of science education in China, and set up a research group to conduct a full investigation. They have also organized symposiums, which
文摘On October 12, 2008, a train- ing school for orphans was inaugurated at Nanshanggang Village, Fangshan District,Beijing Municipality. ＂Ours is not an ordinary orphanage,＂ said school official Zhang Mei. ＂It aims to produce members of the social elite by letting orphans grow in love and warmth characteristic of wholesome families.＂
文摘Nowadays, in data science, supervised learning algorithms are frequently used to perform text classification. However, African textual data, in general, have been studied very little using these methods. This article notes the particularity of the data and measures the level of precision of predictions of naive Bayes algorithms, decision tree, and SVM (Support Vector Machine) on a corpus of computer jobs taken on the internet. This is due to the data imbalance problem in machine learning. However, this problem essentially focuses on the distribution of the number of documents in each class or subclass. Here, we delve deeper into the problem to the word count distribution in a set of documents. The results are compared with those obtained on a set of French IT offers. It appears that the precision of the classification varies between 88% and 90% for French offers against 67%, at most, for Cameroonian offers. The contribution of this study is twofold. Indeed, it clearly shows that, in a similar job category, job offers on the internet in Cameroon are more unstructured compared to those available in France, for example. Moreover, it makes it possible to emit a strong hypothesis according to which sets of texts having a symmetrical distribution of the number of words obtain better results with supervised learning algorithms.
文摘Classifying job offers into occupational categories is a fundamental task in human resource information systems,as it improves and streamlines indexing,search,and matching between openings and job seekers.Comprehensive occupational databases such as O∗NET or ESCO provide detailed taxonomies of interrelated positions that can be leveraged to align the textual content of postings with occupational categories,thereby facilitating standardization,cross-system interoperability,and access to metadata for each occupation(e.g.,tasks,knowledge,skills,and abilities).In this work,we explore the effectiveness of fine-tuning existing language models(LMs)to classify job offers with occupational descriptors from O∗NET.This enables a more precise assessment of candidate suitability by identifying the specific knowledge and skills required for each position,and helps automate recruitment processes by mitigating human bias and subjectivity in candidate selection.We evaluate three representative BERT-like models:BERT,RoBERTa,and DeBERTa.BERT serves as the baseline encoder-only architecture;RoBERTa incorporates advances in pretraining objectives and data scale;and DeBERTa introduces architectural improvements through disentangled attention mechanisms.The best performance was achieved with the DeBERTa model,although the other models also produced strong results,and no statistically significant differences were observed acrossmodels.We also find that these models typically reach optimal performance after only a few training epochs,and that training with smaller,balanced datasets is effective.Consequently,comparable results can be obtained with models that require fewer computational resources and less training time,facilitating deployment and practical use.
基金supported by the Belle Carnell Regenerative Neurorehabilitation Fundthe National Institutes of Health(R01NS113935 to CKF)。
文摘Human spinal cord organoids(hSCOs)offer a promising platform to study neurotrauma by addressing many limitations of traditional research models.These organoids provide access to human-specific physiological and genetic mechanisms and can be derived from an individual's somatic cells(e.g.,blood or skin).This enables patient-specific paradigms for precision neurotrauma research,pa rticula rly relevant to the over 300,000 people in the United States living with chronic effects of spinal cord injury(SCI).
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(Grant No.XDB0530000)the Discipline Construction Foundation of“Double World-class Project”.
文摘Laser wakefield accelerators(LWFAs)offer acceleration gradients up to 1000 times higher than those of conventional radio-frequency accelerators,offering a pathway to significantly more compact and cost-effective accelerator systems.This breakthrough opens up new possibilities for laboratory-scale light sources.All-optical inverse Compton scattering(AOCS)sources driven by LWFAs produce high-brightness,quasimonochromatic X rays with micrometer-scale source sizes,delivering the spatial coherence and resolution required for X-ray phase-contrast imaging(XPCI).These features position AOCS X-ray sources as promising tools for applications in biology,medicine,physics,and materials science.However,previous AOCS-based imaging studies have primarily focused on X-ray absorption imaging.In this work,we report successful experimental demonstrations of edge-enhanced in-line XPCI using energy-tunable,quasi-monochromatic AOCS X rays.With a spatial resolution of~20μm,our results clearly show the potential of high-resolution,AOCS-based XPCI applications.
文摘James Peck, visiting professor at New York University and founder of the Culture and Civilization of China project at Yale University Press and the China International Publishing Group, shared his views on China＇s rising role in dealing with global inequality in a world dominated by the U.S.-centric globalism. An edited excerpt of his article follows：
文摘Chinese Foreign Ministry spokeswoman Jiang Yu announced the government’s decision to provide Mexico with humanitarian aid on April 29 in Beijing. The Chinese Government has offered $5 million in emergency
