In the published version of our article(Shaji et al.,2024),in the last paragraph of the article,Hong Kong should be corrected to Hong Kong(China)and the repetition of Spain and Ireland in the same sentence need to be ...In the published version of our article(Shaji et al.,2024),in the last paragraph of the article,Hong Kong should be corrected to Hong Kong(China)and the repetition of Spain and Ireland in the same sentence need to be deleted.The correct sentence is as below.展开更多
In modern transportation,pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians.Pavement service quality and service life are of great importance for civil engineers a...In modern transportation,pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians.Pavement service quality and service life are of great importance for civil engineers as they directly affect the regular service for the users.Therefore,monitoring the health status of pavement before irreversible damage occurs is essential for timely maintenance,which in turn ensures public transportation safety.Many pavement damages can be detected and analyzed by monitoring the structure dynamic responses and evaluating road surface conditions.Advanced technologies can be employed for the collection and analysis of such data,including various intrusive sensing techniques,image processing techniques,and machine learning methods.This review summarizes the state-ofthe-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches.展开更多
The pervasive diffusion of digital technologies opened up to new concepts in managing and monitoring the processes occurring in our society.Information and Communication Technologies(ICTs)become enabling tools to reth...The pervasive diffusion of digital technologies opened up to new concepts in managing and monitoring the processes occurring in our society.Information and Communication Technologies(ICTs)become enabling tools to rethink our way of living,consuming and producing goods and services.Among these,the Internet of Things(IoT)represents the disruptive technology that may redefine the stages of the building process to meet renewed environmental challenges.This new technological paradigm imports in the Architecture,Engineering and Construction(AEC)sector new and not-tectonic instances.In this context,the paper maps the experiences related to the use of IoT for managing the building process.Through a systematic literature review,the article highlights the potential benefits generable by a widespread integration of IoT in the AEC sector.In particular,the article has three purposes:defining the IoT infrastructure for its proper application in the AEC sector;identifying IoT main application domains;investigating the integration modalities.展开更多
Review similarity computing is used to judge whether the content of online reviews is related to the products.It is an important prerequisite to judge the usefulness of reviews,and it is also an important basis for th...Review similarity computing is used to judge whether the content of online reviews is related to the products.It is an important prerequisite to judge the usefulness of reviews,and it is also an important basis for the classification and sorting of product reviews.This paper combines the VSM,TF-IDF algorithm and cosine similarity algorithm to build the model of similarity computing between the product online reviews and product features,and to build the process framework of review similarity computing for enterprises.Besides,this paper also verifies the model’s effectiveness and correctness based on real online review data of E-business.The experiment results show that the process model can be used to quantify the similarity between reviews and product features,and the similarity results also have a good effect on the application of the review sorting.展开更多
The Health Action Process Approach(HAPA),developed by German psychologist Schwarzer in the 1980s,provides a comprehensive framework for understanding and influencing health behavior change.By dividing behavior change ...The Health Action Process Approach(HAPA),developed by German psychologist Schwarzer in the 1980s,provides a comprehensive framework for understanding and influencing health behavior change.By dividing behavior change into three dynamic stages-pre-intention,intention,and action-HAPA highlights the critical role of self-efficacy as a driving force in adopting healthier behaviors.This stage-based approach addresses the limitations of continuous health behavior models by emphasizing individual differentiation and recognizing that behavior change is not linear but progresses through distinct phases.HAPA theory has demonstrated significant potential in clinical applications,particularly in orthopedic postoperative patients.Its implementation facilitates the development of positive behavioral intentions,enhances self-efficacy,and supports sustained health action,ultimately improving patients’health outcomes and quality of life.Tailored interventions based on HAPA stages ensure that patients receive appropriate guidance and support throughout their recovery journey.Despite its successes,limitations remain.Future research should focus on expanding the application of HAPA to various orthopedic conditions and developing more targeted behavioral plans and health education programs to optimize patient rehabilitation.Additionally,further exploration is needed to sustain HAPA’s effectiveness during long-term recovery.Strengthening interdisciplinary collaboration and integrating HAPA with other theoretical models could create a more comprehensive health behavior education system,providing robust support for orthopedic patients and advancing their overall recovery and well-being.展开更多
With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after ...With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.展开更多
Most consumers read online reviews written by different users before making purchase decisions,where each opinion expresses some sentiment.Therefore,sentiment analysis is currently a hot topic of research.In particula...Most consumers read online reviews written by different users before making purchase decisions,where each opinion expresses some sentiment.Therefore,sentiment analysis is currently a hot topic of research.In particular,aspect-based sentiment analysis concerns the exploration of emotions,opinions and facts that are expressed by people,usually in the form of polarity.It is crucial to consider polarity calculations and not simply categorize reviews as positive,negative,or neutral.Currently,the available lexicon-based method accuracy is affected by limited coverage.Several of the available polarity estimation techniques are too general and may not reect the aspect/topic in question if reviews contain a wide range of information about different topics.This paper presents a model for the polarity estimation of customer reviews using aspect-based sentiment analysis(ABSA-PER).ABSA-PER has three major phases:data preprocessing,aspect co-occurrence calculation(CAC)and polarity estimation.A multi-domain sentiment dataset,Twitter dataset,and trust pilot forum dataset(developed by us by dened judgement rules)are used to verify ABSA-PER.Experimental outcomes show that ABSA-PER achieves better accuracy,i.e.,85.7%accuracy for aspect extraction and 86.5%accuracy in terms of polarity estimation,than that of the baseline methods.展开更多
Reviews have a significant impact on online businesses.Nowadays,online consumers rely heavily on other people’s reviews before purchasing a product,instead of looking at the product description.With the emergence of ...Reviews have a significant impact on online businesses.Nowadays,online consumers rely heavily on other people’s reviews before purchasing a product,instead of looking at the product description.With the emergence of technology,malicious online actors are using techniques such as Natural Language Processing(NLP)and others to generate a large number of fake reviews to destroy their competitors’markets.To remedy this situation,several researches have been conducted in the last few years.Most of them have applied NLP techniques to preprocess the text before building Machine Learning(ML)or Deep Learning(DL)models to detect and filter these fake reviews.However,with the same NLP techniques,machine-generated fake reviews are increasing exponentially.This work explores a powerful text representation technique called Embedding models to combat the proliferation of fake reviews in online marketplaces.Indeed,these embedding structures can capture much more information from the data compared to other standard text representations.To do this,we tested our hypothesis in two different Recurrent Neural Network(RNN)architectures,namely Long Short-Term Memory(LSTM)and Gated Recurrent Unit(GRU),using fake review data from Amazon and TripAdvisor.Our experimental results show that our best-proposed model can distinguish between real and fake reviews with 91.44%accuracy.Furthermore,our results corroborate with the state-of-the-art research in this area and demonstrate some improvements over other approaches.Therefore,proper text representation improves the accuracy of fake review detection.展开更多
Innovation systems research has seen rapid evolution,expanding in both depth and scope.The increasing frequency of contributions has added complexity,posing challenges for scholars and practitioners in management and ...Innovation systems research has seen rapid evolution,expanding in both depth and scope.The increasing frequency of contributions has added complexity,posing challenges for scholars and practitioners in management and policy.This paper employs advanced data-driven techniques,including natural language processing and machine learning,to map and analyze contemporary research.Focusing on studies between 2001 and 2023,the investigation introduces a novel clustering of sub-topics,tracking their dynamics and evolution over time.It highlights a growing emphasis on National Innovation Systems,Institutional Cooperation Networks,and Frameworks and Process Modelling.Although European research remains dominant,contributions from emerging economies are steadily increasing,underscoring the global importance of innovation.By highlighting key concepts,influential works,and mapping recent shifts in the field,this paper offers a focused analysis of the current state of innovation systems research,prioritizing developments from the last two decades and shedding light on emerging areas of attention.展开更多
Natural language processing(NLP)is gaining momentum in management research for its ability to automatically analyze and comprehend human language.Yet,despite its extensive application in management research,there is n...Natural language processing(NLP)is gaining momentum in management research for its ability to automatically analyze and comprehend human language.Yet,despite its extensive application in management research,there is neither a comprehensive review of extant literature on such applications,nor is there a detailed walkthrough on how it can be employed as an analytical technique.To this end,we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple disciplines.We describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and disadvantages.In so doing,we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.展开更多
To ensure a timely,productive peer review process and to provide better services for authors and readers in the medical field,Chinese Medical Journal Pulmonary and Critical Care Medicine(CMJ PCCM)is currently looking ...To ensure a timely,productive peer review process and to provide better services for authors and readers in the medical field,Chinese Medical Journal Pulmonary and Critical Care Medicine(CMJ PCCM)is currently looking for reviewers among professionals and experts all over the world.展开更多
To ensure a timely,productive peer review process and to provide better services for authors and readers in the medical field,Chinese Medical Journal Pulmonary and Critical Care Medicine(CMJ PCCM)is currently looking ...To ensure a timely,productive peer review process and to provide better services for authors and readers in the medical field,Chinese Medical Journal Pulmonary and Critical Care Medicine(CMJ PCCM)is currently looking for reviewers among professionals and experts all over the world.展开更多
MARKOV decision processes (MDPs) have been studied by mathematicians, probabilists, operation researchers and engineers since the late 1950s. In an MDPs a stochastic, dynamic system is controlled by a 'policy'...MARKOV decision processes (MDPs) have been studied by mathematicians, probabilists, operation researchers and engineers since the late 1950s. In an MDPs a stochastic, dynamic system is controlled by a 'policy' selected by a decision-maker/controller, with the goal of maximizing an overall reward function that is an appropriately defined aggregate of immediate rewards, over either finite or infinite time horizon.As such MDPs are a useful paradigm for modeling many processes occurring naturally in the management and engineering contexts..展开更多
This paper analyzes the impact of economic reform conducted in both rural and urban areassince 1980s on the urban development and urbanization. By summing up the distinguishing characteristicsappeared in the process o...This paper analyzes the impact of economic reform conducted in both rural and urban areassince 1980s on the urban development and urbanization. By summing up the distinguishing characteristicsappeared in the process of urbanization, it is concluded that the macro control of the state to the urbandevelopment and urbanization should be furtherstrengthened.展开更多
The wavefront recording plane （WRP）, subsequently generalized to be known as the virtual diffraction plane （VDP）, is a recent concept that has been successfully deployed in fast generation and processing of digita...The wavefront recording plane （WRP）, subsequently generalized to be known as the virtual diffraction plane （VDP）, is a recent concept that has been successfully deployed in fast generation and processing of digital holograms. In brief, the WRP and its extension, the VDP, is a hypothetical plane that is located between the hologram and the object scene, and which is at close proximity to the latter. As such, the fringe patterns on the hypothetical plane are carrying the holistic information of the hologram, as well as the local optical properties of the object scene. This important property enables a hologram to be processed with classical image processing techniques that are normally unsuitable for handling holographic information. In this paper we shall review a number of works, that have been developed based on the framework of the WRP and the VDP.展开更多
2025年度,共有下列92位专家为本刊审稿,特提名致谢!(按姓名的汉语拼音顺序排列)Many thanks for our peer reviewers,listed below,for their time and hard work spent on review of manuscripts submitted to China Journal of Oral a...2025年度,共有下列92位专家为本刊审稿,特提名致谢!(按姓名的汉语拼音顺序排列)Many thanks for our peer reviewers,listed below,for their time and hard work spent on review of manuscripts submitted to China Journal of Oral and Maxillofacial Surgery in 2025 and their excellent support of the editorial process.Sincerely congratulating our authors who have published their high quality work in China Journal of Oral and Maxillofacial Surgery.The future of our journal is bright and it will continue to serve as a top-notch interdisciplinary resources for clinicians involved in the care of patients with oral and maxillofacial disorders,and for scientists striving to elucidate the mechanisms and therapy for these diseases.展开更多
This paper conducted a more comprehensive review and comparative analysis of the two heavy to blizzard processes that occurred in the Beijing area during December 13-15,2023,and February 20-21,2024,in terms of compreh...This paper conducted a more comprehensive review and comparative analysis of the two heavy to blizzard processes that occurred in the Beijing area during December 13-15,2023,and February 20-21,2024,in terms of comprehensive weather situation diagnosis,forecasting,and decision-making services,and summarized the meteorological service support experience of such heavy snow weather processes.It was found that both blizzard processes were jointly influenced by the 700 hPa southwesterly warm and humid jet stream and the near-surface easterly backflow;the numerical forecast was relatively accurate in the overall description of the snowfall process,and the forecast bias of the position of the 700 hPa southwesterly warm and humid jet stream determined the bias of the snowfall magnitude forecast at a certain point;when a deviation was found between the actual snowfall and the forecast,the cause should be analyzed in a timely manner,and the warning and forecast conclusions should be updated.With the full cooperation of relevant departments,it can greatly make up for the deviation of the early forecast snowfall amount,and ensure the safety and efficiency of people's travel.展开更多
2025年度,共有下列63名专家为《上海口腔医学》认真审稿,特提名致谢!(按姓名汉语拼音顺序排列)Many thanks for our peer reviewers,listed below,for their time and hard work spent on review of manuscripts submitted to Shanghai ...2025年度,共有下列63名专家为《上海口腔医学》认真审稿,特提名致谢!(按姓名汉语拼音顺序排列)Many thanks for our peer reviewers,listed below,for their time and hard work spent on review of manuscripts submitted to Shanghai Journal of Stomatology in 2025 and their excellent support of the editorial process.Sincerely congratulating our authors who have published their high quality work in Shanghai Journal of Stomatology cited by IM and MEDLINE.The future of our journal is bright and it will continue to serve as a top-notch interdisciplinary resources for clinicians involved in the care of patients with various dental disorders,and for scientists striving to elucidate the mechanisms and therapy for these diseases.展开更多
文摘In the published version of our article(Shaji et al.,2024),in the last paragraph of the article,Hong Kong should be corrected to Hong Kong(China)and the repetition of Spain and Ireland in the same sentence need to be deleted.The correct sentence is as below.
基金supported by the National Key R&D Program of China(2017YFF0205600)the International Research Cooperation Seed Fund of Beijing University of Technology(2018A08)+1 种基金Science and Technology Project of Beijing Municipal Commission of Transport(2018-kjc-01-213)the Construction of Service Capability of Scientific and Technological Innovation-Municipal Level of Fundamental Research Funds(Scientific Research Categories)of Beijing City(PXM2019_014204_500032).
文摘In modern transportation,pavement is one of the most important civil infrastructures for the movement of vehicles and pedestrians.Pavement service quality and service life are of great importance for civil engineers as they directly affect the regular service for the users.Therefore,monitoring the health status of pavement before irreversible damage occurs is essential for timely maintenance,which in turn ensures public transportation safety.Many pavement damages can be detected and analyzed by monitoring the structure dynamic responses and evaluating road surface conditions.Advanced technologies can be employed for the collection and analysis of such data,including various intrusive sensing techniques,image processing techniques,and machine learning methods.This review summarizes the state-ofthe-art of these three technologies in pavement engineering in recent years and suggests possible developments for future pavement monitoring and analysis based on these approaches.
文摘The pervasive diffusion of digital technologies opened up to new concepts in managing and monitoring the processes occurring in our society.Information and Communication Technologies(ICTs)become enabling tools to rethink our way of living,consuming and producing goods and services.Among these,the Internet of Things(IoT)represents the disruptive technology that may redefine the stages of the building process to meet renewed environmental challenges.This new technological paradigm imports in the Architecture,Engineering and Construction(AEC)sector new and not-tectonic instances.In this context,the paper maps the experiences related to the use of IoT for managing the building process.Through a systematic literature review,the article highlights the potential benefits generable by a widespread integration of IoT in the AEC sector.In particular,the article has three purposes:defining the IoT infrastructure for its proper application in the AEC sector;identifying IoT main application domains;investigating the integration modalities.
文摘Review similarity computing is used to judge whether the content of online reviews is related to the products.It is an important prerequisite to judge the usefulness of reviews,and it is also an important basis for the classification and sorting of product reviews.This paper combines the VSM,TF-IDF algorithm and cosine similarity algorithm to build the model of similarity computing between the product online reviews and product features,and to build the process framework of review similarity computing for enterprises.Besides,this paper also verifies the model’s effectiveness and correctness based on real online review data of E-business.The experiment results show that the process model can be used to quantify the similarity between reviews and product features,and the similarity results also have a good effect on the application of the review sorting.
基金Youth Project of Inner Mongolia Medical University in 2022(YKD2022QN020)。
文摘The Health Action Process Approach(HAPA),developed by German psychologist Schwarzer in the 1980s,provides a comprehensive framework for understanding and influencing health behavior change.By dividing behavior change into three dynamic stages-pre-intention,intention,and action-HAPA highlights the critical role of self-efficacy as a driving force in adopting healthier behaviors.This stage-based approach addresses the limitations of continuous health behavior models by emphasizing individual differentiation and recognizing that behavior change is not linear but progresses through distinct phases.HAPA theory has demonstrated significant potential in clinical applications,particularly in orthopedic postoperative patients.Its implementation facilitates the development of positive behavioral intentions,enhances self-efficacy,and supports sustained health action,ultimately improving patients’health outcomes and quality of life.Tailored interventions based on HAPA stages ensure that patients receive appropriate guidance and support throughout their recovery journey.Despite its successes,limitations remain.Future research should focus on expanding the application of HAPA to various orthopedic conditions and developing more targeted behavioral plans and health education programs to optimize patient rehabilitation.Additionally,further exploration is needed to sustain HAPA’s effectiveness during long-term recovery.Strengthening interdisciplinary collaboration and integrating HAPA with other theoretical models could create a more comprehensive health behavior education system,providing robust support for orthopedic patients and advancing their overall recovery and well-being.
文摘With the advancements in internet facilities,people are more inclined towards the use of online services.The service providers shelve their items for e-users.These users post their feedbacks,reviews,ratings,etc.after the use of the item.The enormous increase in these reviews has raised the need for an automated system to analyze these reviews to rate these items.Sentiment Analysis(SA)is a technique that performs such decision analysis.This research targets the ranking and rating through sentiment analysis of these reviews,on different aspects.As a case study,Songs are opted to design and test the decision model.Different aspects of songs namely music,lyrics,song,voice and video are picked.For the reason,reviews of 20 songs are scraped from YouTube,pre-processed and formed a dataset.Different machine learning algorithms—Naïve Bayes(NB),Gradient Boost Tree,Logistic Regression LR,K-Nearest Neighbors(KNN)and Artificial Neural Network(ANN)are applied.ANN performed the best with 74.99%accuracy.Results are validated using K-Fold.
基金funded by the University of Jeddah,Saudi Arabia,under Grant No.(UJ-12-18-DR).
文摘Most consumers read online reviews written by different users before making purchase decisions,where each opinion expresses some sentiment.Therefore,sentiment analysis is currently a hot topic of research.In particular,aspect-based sentiment analysis concerns the exploration of emotions,opinions and facts that are expressed by people,usually in the form of polarity.It is crucial to consider polarity calculations and not simply categorize reviews as positive,negative,or neutral.Currently,the available lexicon-based method accuracy is affected by limited coverage.Several of the available polarity estimation techniques are too general and may not reect the aspect/topic in question if reviews contain a wide range of information about different topics.This paper presents a model for the polarity estimation of customer reviews using aspect-based sentiment analysis(ABSA-PER).ABSA-PER has three major phases:data preprocessing,aspect co-occurrence calculation(CAC)and polarity estimation.A multi-domain sentiment dataset,Twitter dataset,and trust pilot forum dataset(developed by us by dened judgement rules)are used to verify ABSA-PER.Experimental outcomes show that ABSA-PER achieves better accuracy,i.e.,85.7%accuracy for aspect extraction and 86.5%accuracy in terms of polarity estimation,than that of the baseline methods.
文摘Reviews have a significant impact on online businesses.Nowadays,online consumers rely heavily on other people’s reviews before purchasing a product,instead of looking at the product description.With the emergence of technology,malicious online actors are using techniques such as Natural Language Processing(NLP)and others to generate a large number of fake reviews to destroy their competitors’markets.To remedy this situation,several researches have been conducted in the last few years.Most of them have applied NLP techniques to preprocess the text before building Machine Learning(ML)or Deep Learning(DL)models to detect and filter these fake reviews.However,with the same NLP techniques,machine-generated fake reviews are increasing exponentially.This work explores a powerful text representation technique called Embedding models to combat the proliferation of fake reviews in online marketplaces.Indeed,these embedding structures can capture much more information from the data compared to other standard text representations.To do this,we tested our hypothesis in two different Recurrent Neural Network(RNN)architectures,namely Long Short-Term Memory(LSTM)and Gated Recurrent Unit(GRU),using fake review data from Amazon and TripAdvisor.Our experimental results show that our best-proposed model can distinguish between real and fake reviews with 91.44%accuracy.Furthermore,our results corroborate with the state-of-the-art research in this area and demonstrate some improvements over other approaches.Therefore,proper text representation improves the accuracy of fake review detection.
文摘Innovation systems research has seen rapid evolution,expanding in both depth and scope.The increasing frequency of contributions has added complexity,posing challenges for scholars and practitioners in management and policy.This paper employs advanced data-driven techniques,including natural language processing and machine learning,to map and analyze contemporary research.Focusing on studies between 2001 and 2023,the investigation introduces a novel clustering of sub-topics,tracking their dynamics and evolution over time.It highlights a growing emphasis on National Innovation Systems,Institutional Cooperation Networks,and Frameworks and Process Modelling.Although European research remains dominant,contributions from emerging economies are steadily increasing,underscoring the global importance of innovation.By highlighting key concepts,influential works,and mapping recent shifts in the field,this paper offers a focused analysis of the current state of innovation systems research,prioritizing developments from the last two decades and shedding light on emerging areas of attention.
基金This work was supported by National Natural Science Foundation of China:[Grant Number 71571177,71622009,71801204,71921001,71971202].
文摘Natural language processing(NLP)is gaining momentum in management research for its ability to automatically analyze and comprehend human language.Yet,despite its extensive application in management research,there is neither a comprehensive review of extant literature on such applications,nor is there a detailed walkthrough on how it can be employed as an analytical technique.To this end,we review articles in the UT Dallas List of 24 Leading Business Journals that employ NLP as their focal analytical technique to elucidate how textual data can be harnessed for advancing management theories across multiple disciplines.We describe the available toolkits and procedural steps for employing NLP as an analytical technique as well as its advantages and disadvantages.In so doing,we highlight the managerial and technological challenges associated with the application of NLP in management research in order to guide future inquires.
文摘To ensure a timely,productive peer review process and to provide better services for authors and readers in the medical field,Chinese Medical Journal Pulmonary and Critical Care Medicine(CMJ PCCM)is currently looking for reviewers among professionals and experts all over the world.
文摘To ensure a timely,productive peer review process and to provide better services for authors and readers in the medical field,Chinese Medical Journal Pulmonary and Critical Care Medicine(CMJ PCCM)is currently looking for reviewers among professionals and experts all over the world.
文摘MARKOV decision processes (MDPs) have been studied by mathematicians, probabilists, operation researchers and engineers since the late 1950s. In an MDPs a stochastic, dynamic system is controlled by a 'policy' selected by a decision-maker/controller, with the goal of maximizing an overall reward function that is an appropriately defined aggregate of immediate rewards, over either finite or infinite time horizon.As such MDPs are a useful paradigm for modeling many processes occurring naturally in the management and engineering contexts..
文摘This paper analyzes the impact of economic reform conducted in both rural and urban areassince 1980s on the urban development and urbanization. By summing up the distinguishing characteristicsappeared in the process of urbanization, it is concluded that the macro control of the state to the urbandevelopment and urbanization should be furtherstrengthened.
文摘The wavefront recording plane （WRP）, subsequently generalized to be known as the virtual diffraction plane （VDP）, is a recent concept that has been successfully deployed in fast generation and processing of digital holograms. In brief, the WRP and its extension, the VDP, is a hypothetical plane that is located between the hologram and the object scene, and which is at close proximity to the latter. As such, the fringe patterns on the hypothetical plane are carrying the holistic information of the hologram, as well as the local optical properties of the object scene. This important property enables a hologram to be processed with classical image processing techniques that are normally unsuitable for handling holographic information. In this paper we shall review a number of works, that have been developed based on the framework of the WRP and the VDP.
文摘2025年度,共有下列92位专家为本刊审稿,特提名致谢!(按姓名的汉语拼音顺序排列)Many thanks for our peer reviewers,listed below,for their time and hard work spent on review of manuscripts submitted to China Journal of Oral and Maxillofacial Surgery in 2025 and their excellent support of the editorial process.Sincerely congratulating our authors who have published their high quality work in China Journal of Oral and Maxillofacial Surgery.The future of our journal is bright and it will continue to serve as a top-notch interdisciplinary resources for clinicians involved in the care of patients with oral and maxillofacial disorders,and for scientists striving to elucidate the mechanisms and therapy for these diseases.
文摘This paper conducted a more comprehensive review and comparative analysis of the two heavy to blizzard processes that occurred in the Beijing area during December 13-15,2023,and February 20-21,2024,in terms of comprehensive weather situation diagnosis,forecasting,and decision-making services,and summarized the meteorological service support experience of such heavy snow weather processes.It was found that both blizzard processes were jointly influenced by the 700 hPa southwesterly warm and humid jet stream and the near-surface easterly backflow;the numerical forecast was relatively accurate in the overall description of the snowfall process,and the forecast bias of the position of the 700 hPa southwesterly warm and humid jet stream determined the bias of the snowfall magnitude forecast at a certain point;when a deviation was found between the actual snowfall and the forecast,the cause should be analyzed in a timely manner,and the warning and forecast conclusions should be updated.With the full cooperation of relevant departments,it can greatly make up for the deviation of the early forecast snowfall amount,and ensure the safety and efficiency of people's travel.
文摘2025年度,共有下列63名专家为《上海口腔医学》认真审稿,特提名致谢!(按姓名汉语拼音顺序排列)Many thanks for our peer reviewers,listed below,for their time and hard work spent on review of manuscripts submitted to Shanghai Journal of Stomatology in 2025 and their excellent support of the editorial process.Sincerely congratulating our authors who have published their high quality work in Shanghai Journal of Stomatology cited by IM and MEDLINE.The future of our journal is bright and it will continue to serve as a top-notch interdisciplinary resources for clinicians involved in the care of patients with various dental disorders,and for scientists striving to elucidate the mechanisms and therapy for these diseases.
