BACKGROUND Many clinicians and surgeons are unfamiliar with the sclerosing angiomatoid nodular transformation(SANT),which is gaining recognition as a benign splenic tumor.We challenge that SANT is rare and whether sur...BACKGROUND Many clinicians and surgeons are unfamiliar with the sclerosing angiomatoid nodular transformation(SANT),which is gaining recognition as a benign splenic tumor.We challenge that SANT is rare and whether surgical intervention could be avoided through critical imaging review.AIM To evaluate the incidence of SANT among splenic tumors and the decisionmaking process of SANT management.METHODS Twenty hospitalized patients who underwent splenectomy in 2018 and 2019 in a tertiary university hospital were retrospectively reviewed,and their data on imaging,diagnosis,surgical indications,and courses were recorded.All pathology results were confirmed by pathologist.Discriminative features differentiating SANT from other non-SANT splenic tumors were descriptively analyzed in this case series.RESULTS Fourteen out of 20 patients who underwent splenectomy had splenic tumors,including 3 SANTs(21%splenic tumors),6 non-SANT benign lesions(43%),2 metastatic tumors,and 3 lymphomas.Hypointensity on T2-weighted magnetic resonance imaging(MRI),spoke wheel enhancing pattern in contrasted computed tomography or MRI,and cold spot(low fluorodeoxyglucose uptake)in positron emission tomography(PET)scan helped establish the diagnosis of SANT.Lymphoma,presenting with a hot spot on the PET scan were differentiated from SANT.Surgical indications were reformatted for splenic tumors.Splenectomy need not be performed in patients with typical imaging features of SANT.CONCLUSION SANT is not a rare disease entity in clinical practice.Splenectomy should not be routinely indicated as the only management option for SANT with typical imaging features.展开更多
In the coming decades, agricultural systems will have to adapt to tremendous challenges. Behavioral models have important potential to better understand and steer changes toward sustainability brought about by this co...In the coming decades, agricultural systems will have to adapt to tremendous challenges. Behavioral models have important potential to better understand and steer changes toward sustainability brought about by this context. Relying on a literature review, we distinguish incremental changes (extensions of what is already done) and transformational changes, which involve the reorientation of a considerable amount of farming activities. Transformational changes are particularly important in the context of global change. Existing integrated modelling frameworks based on behavioral theories are suited for incremental changes, but remain limited for transformational changes. Qualitative studies provide important insights on two key aspects of transformational changes, learning and social relations, but they have not been explicitly oriented toward computer modelling yet. Based on this literature and three seminal decision-making approaches, we propose a description of transformational change processes in farm decision-making, as a first step toward an implementation in agent-based models.展开更多
Women in leadership and decision-making roles influence the policies and directions of organizations （Ahuja, 2002）. Women in leadership value supports from their organizations. Pro-social outcomes of relationship co...Women in leadership and decision-making roles influence the policies and directions of organizations （Ahuja, 2002）. Women in leadership value supports from their organizations. Pro-social outcomes of relationship competence are mediated by the development of empathy, collaborative approaches to conflict, self-disclosure, and social interest （Jogulu ＆ Wood, 2006）. Decision-making perspectives have uncertainty as the sole reason for organizational leaders to search for additional relevant information to solidify or clarify the information at the leader＇s disposal. A phenomenological qualitative research study which explored the preferred style of leadership based on three leadership and decision-making styles is presented in this paper1. The researcher gathered insights into the lived experiences of like-minded sample of respondents from the research population as they described their leadership and decisionmaking experiences within their organizations.展开更多
Construction engineering and management(CEM)has become increasingly complicated with the increasing size of engineering projects under different construction environments,motivating the digital transformation of CEM.T...Construction engineering and management(CEM)has become increasingly complicated with the increasing size of engineering projects under different construction environments,motivating the digital transformation of CEM.To contribute to a better understanding of the state of the art of smart techniques for engineering projects,this paper provides a comprehensive review of multi-criteria decision-making(MCDM)techniques,intelligent techniques,and their applications in CEM.First,a comprehensive framework detailing smart technologies for construction projects is developed.Next,the characteristics of CEM are summarized.A bibliometric review is then conducted to investigate the keywords,journals,and clusters related to the application of smart techniques in CEM during 2000-2022.Recent advancements in intelligent techniques are also discussed under the following six topics:①big data technology;②computer vision;③speech recognition;④natural language processing;⑤machine learning;and⑥knowledge representation,understanding,and reasoning.The applications of smart techniques are then illustrated via underground space exploitation.Finally,future research directions for the sustainable development of smart construction are highlighted.展开更多
Reinforcement learning(RL)has become a dominant decision-making paradigm and has achieved notable success in many real-world applications.Notably,deep neural networks play a crucial role in unlocking RL’s potential i...Reinforcement learning(RL)has become a dominant decision-making paradigm and has achieved notable success in many real-world applications.Notably,deep neural networks play a crucial role in unlocking RL’s potential in large-scale decision-making tasks.Inspired by current major success of Transformer in natural language processing and computer vision,numerous bottlenecks have been overcome by combining Transformer with RL for decision-making.This paper presents a multiangle systematic survey of various Transformer-based RL(TransRL)models applied in decision-making tasks,including basic models,advanced algorithms,representative implementation instances,typical applications,and known challenges.Our work aims to provide insights into problems that inherently arise with the current RL approaches,and examines how we can address them with better TransRL models.To our knowledge,we are the first to present a comprehensive review of the recent Transformer research developments in RL for decision-making.We hope that this survey provides a comprehensive review of TransRL models and inspires the RL community in its pursuit of future directions.To keep track of the rapid TransRL developments in the decision-making domains,we summarize the latest papers and their open-source implementations at https://github.com/williamyuanv0/Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey.展开更多
文摘BACKGROUND Many clinicians and surgeons are unfamiliar with the sclerosing angiomatoid nodular transformation(SANT),which is gaining recognition as a benign splenic tumor.We challenge that SANT is rare and whether surgical intervention could be avoided through critical imaging review.AIM To evaluate the incidence of SANT among splenic tumors and the decisionmaking process of SANT management.METHODS Twenty hospitalized patients who underwent splenectomy in 2018 and 2019 in a tertiary university hospital were retrospectively reviewed,and their data on imaging,diagnosis,surgical indications,and courses were recorded.All pathology results were confirmed by pathologist.Discriminative features differentiating SANT from other non-SANT splenic tumors were descriptively analyzed in this case series.RESULTS Fourteen out of 20 patients who underwent splenectomy had splenic tumors,including 3 SANTs(21%splenic tumors),6 non-SANT benign lesions(43%),2 metastatic tumors,and 3 lymphomas.Hypointensity on T2-weighted magnetic resonance imaging(MRI),spoke wheel enhancing pattern in contrasted computed tomography or MRI,and cold spot(low fluorodeoxyglucose uptake)in positron emission tomography(PET)scan helped establish the diagnosis of SANT.Lymphoma,presenting with a hot spot on the PET scan were differentiated from SANT.Surgical indications were reformatted for splenic tumors.Splenectomy need not be performed in patients with typical imaging features of SANT.CONCLUSION SANT is not a rare disease entity in clinical practice.Splenectomy should not be routinely indicated as the only management option for SANT with typical imaging features.
文摘In the coming decades, agricultural systems will have to adapt to tremendous challenges. Behavioral models have important potential to better understand and steer changes toward sustainability brought about by this context. Relying on a literature review, we distinguish incremental changes (extensions of what is already done) and transformational changes, which involve the reorientation of a considerable amount of farming activities. Transformational changes are particularly important in the context of global change. Existing integrated modelling frameworks based on behavioral theories are suited for incremental changes, but remain limited for transformational changes. Qualitative studies provide important insights on two key aspects of transformational changes, learning and social relations, but they have not been explicitly oriented toward computer modelling yet. Based on this literature and three seminal decision-making approaches, we propose a description of transformational change processes in farm decision-making, as a first step toward an implementation in agent-based models.
文摘Women in leadership and decision-making roles influence the policies and directions of organizations （Ahuja, 2002）. Women in leadership value supports from their organizations. Pro-social outcomes of relationship competence are mediated by the development of empathy, collaborative approaches to conflict, self-disclosure, and social interest （Jogulu ＆ Wood, 2006）. Decision-making perspectives have uncertainty as the sole reason for organizational leaders to search for additional relevant information to solidify or clarify the information at the leader＇s disposal. A phenomenological qualitative research study which explored the preferred style of leadership based on three leadership and decision-making styles is presented in this paper1. The researcher gathered insights into the lived experiences of like-minded sample of respondents from the research population as they described their leadership and decisionmaking experiences within their organizations.
基金funded by the project of Guangdong Provincial Basic and Applied Basic Research Fund Committee(2022A1515240073)the Pearl River Talent Recruitment Program(2019CX01G338),Guangdong Province.
文摘Construction engineering and management(CEM)has become increasingly complicated with the increasing size of engineering projects under different construction environments,motivating the digital transformation of CEM.To contribute to a better understanding of the state of the art of smart techniques for engineering projects,this paper provides a comprehensive review of multi-criteria decision-making(MCDM)techniques,intelligent techniques,and their applications in CEM.First,a comprehensive framework detailing smart technologies for construction projects is developed.Next,the characteristics of CEM are summarized.A bibliometric review is then conducted to investigate the keywords,journals,and clusters related to the application of smart techniques in CEM during 2000-2022.Recent advancements in intelligent techniques are also discussed under the following six topics:①big data technology;②computer vision;③speech recognition;④natural language processing;⑤machine learning;and⑥knowledge representation,understanding,and reasoning.The applications of smart techniques are then illustrated via underground space exploitation.Finally,future research directions for the sustainable development of smart construction are highlighted.
基金Project supported by the National Natural Science Foundation of China(No.62376280)。
文摘Reinforcement learning(RL)has become a dominant decision-making paradigm and has achieved notable success in many real-world applications.Notably,deep neural networks play a crucial role in unlocking RL’s potential in large-scale decision-making tasks.Inspired by current major success of Transformer in natural language processing and computer vision,numerous bottlenecks have been overcome by combining Transformer with RL for decision-making.This paper presents a multiangle systematic survey of various Transformer-based RL(TransRL)models applied in decision-making tasks,including basic models,advanced algorithms,representative implementation instances,typical applications,and known challenges.Our work aims to provide insights into problems that inherently arise with the current RL approaches,and examines how we can address them with better TransRL models.To our knowledge,we are the first to present a comprehensive review of the recent Transformer research developments in RL for decision-making.We hope that this survey provides a comprehensive review of TransRL models and inspires the RL community in its pursuit of future directions.To keep track of the rapid TransRL developments in the decision-making domains,we summarize the latest papers and their open-source implementations at https://github.com/williamyuanv0/Transformer-in-Reinforcement-Learning-for-Decision-Making-A-Survey.
