Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel...Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel traffic modelling framework for aggregate traffic on urban roads. The main idea is that road traffic flow is random, even for the recurrent flow, such as rush hour traffic, which is predisposed to congestion. Therefore, the structure of the aggregate traffic flow model for urban roads should correlate well with the essential variables of the observed random dynamics of the traffic flow phenomena. The novelty of this paper is the developed framework, based on the Poisson process, the kinematics of urban road traffic flow, and the intermediate modelling approach, which were combined to formulate the model. Empirical data from an urban road in Ghana was used to explore the model’s fidelity. The results show that the distribution from the model correlates well with that of the empirical traffic, providing a strong validation of the new framework and instilling confidence in its potential for significantly improved forecasts and, hence, a more hopeful outlook for real-world traffic management.展开更多
Objective: To analyze the clinical manifestations of intraocular lens (IOL) opacity after cataract surgery through case reports, and to explore its pathogenesis and diagnosis and treatment ideas, so as to provide a ba...Objective: To analyze the clinical manifestations of intraocular lens (IOL) opacity after cataract surgery through case reports, and to explore its pathogenesis and diagnosis and treatment ideas, so as to provide a basis for the early diagnosis and correct treatment of IOL opacity. Methods: The clinical data of one patient diagnosed with IOL opacity and underwent intraocular lens replacement in the Department of Ophthalmology, Affiliated Hospital of Youjiang Medical College for Nationalities in December 2023 were reported. The characteristics of IOL opacity were observed, and the research progress and pathogenesis of IOL opacity were understood by consulting the literature. Results: This patient is the first case of IOL opacity in our hospital. The specific reason is unclear. It is considered to be related to the IOL material. Conclusion: Hydrophilic acrylic IOL is widely used in clinic because of its good histocompatibility. However, due to its hydrophilicity, there are more cases of IOL opacity than other types of IOL. At present, there is no unified conclusion on the etiology and mechanism of IOL opacity. IOL opacity can seriously affect vision and is easily misdiagnosed as a posterior cataract. We should fully disperse the large pupil and carefully observe under the slit lamp. The most effective treatment for this disease is IOL replacement.展开更多
Background: Diabetes Mellitus (DM) is a growing health issue in Bangladesh, with significant complications affecting the quality of life (QoL). This study aims to assess long-term complications, treatment patterns, an...Background: Diabetes Mellitus (DM) is a growing health issue in Bangladesh, with significant complications affecting the quality of life (QoL). This study aims to assess long-term complications, treatment patterns, and QoL of diabetic patients during COVID-19. Methods: A cross-sectional study was conducted on 385 diabetic patients (aged 18-80) from tertiary hospitals in Dhaka and Mymensingh between May and October 2022. Data were collected via a semi-structured questionnaire on sociodemographics, complications, treatment patterns, and QoL (SF-12 scale). Chi-square tests, ANOVA, and linear regression were used for inferential analysis. Results: The sample predominantly included middle-aged males (41 - 55 years) with type 2 diabetes. Diabetic retinopathy (34.5%), polyneuropathy (32.2%), and hypertension (52.3%) were the most common complications. Oral medications were used by 59.7% of patients, with 29.1% on insulin. Chi-square analysis showed a significant association between treatment adherence and complications (p β = 0.45, p Conclusion: Complications in diabetic patients significantly affect QoL in Bangladesh. Treatment adherence, especially with oral medications, positively impacts QoL. There is a need for improved access to diabetes care to manage complications and enhance the overall well-being of diabetic patients.展开更多
为探究新疆长距离输水工程建设中黄土的湿陷性问题,以新疆伊犁河长距离输水工程湿陷性黄土为研究对象,开展渠基黄土不同埋深湿陷性、含水率及孔隙比现场监测试验,重点分析渠基黄土湿陷性的空间分布规律。通过室内自重湿陷试验、浸水压...为探究新疆长距离输水工程建设中黄土的湿陷性问题,以新疆伊犁河长距离输水工程湿陷性黄土为研究对象,开展渠基黄土不同埋深湿陷性、含水率及孔隙比现场监测试验,重点分析渠基黄土湿陷性的空间分布规律。通过室内自重湿陷试验、浸水压缩试验对不同含水率原状黄土的湿陷特征、孔隙结构进行定量测定,采用微观电镜扫描(scanning electron microscope,简称SEM)和颗粒及裂隙图像识别系统,研究不同湿陷次数、不同竖向应力作用下原状黄土湿陷特征与内部微观孔隙结构的关系。研究结果表明:(1)输水渠道黄土的湿陷性主要受含水率控制,含水率越小,微观孔隙结构特征越显著,湿陷变形特征也越大,且具有一定的“剩余”湿陷性。(2)黄土在湿陷变形过程中存在颗粒软化效应和聚合物效应,孔隙结构逐渐减小,引起了较大的湿陷变形,且在低含水率状态时湿陷变形特征更加显著。(3)长距离输水渠道黄土的湿陷性随埋深增大而逐渐减弱,且渠基黄土的湿陷是多次发生的,先期湿陷性较大、后期湿陷性较小,渠基黄土湿陷性具有多阶段特征。展开更多
Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term forecasting of data. The ma...Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term forecasting of data. The main objective of our work is to predict the market performance of the Dhaka Stock Exchange (DSE) on day closing price using different Deep Learning techniques. In this study, we have used the LSTM (Long Short-Term Memory) network to forecast the data of DSE for the convenience of shareholders. We have enforced LSTM networks to train data as well as forecast the future time series that has differentiated with test data. We have computed the Root Mean Square Error (RMSE) value to scrutinize the error between the forecasted value and test data that diminished the error by updating the LSTM networks. As a consequence of the renovation of the network, the LSTM network provides tremendous performance which outperformed the existing works to predict stock market prices.展开更多
文摘Road traffic flow forecasting provides critical information for the operational management of road mobility challenges, and models are used to generate the forecast. This paper uses a random process to present a novel traffic modelling framework for aggregate traffic on urban roads. The main idea is that road traffic flow is random, even for the recurrent flow, such as rush hour traffic, which is predisposed to congestion. Therefore, the structure of the aggregate traffic flow model for urban roads should correlate well with the essential variables of the observed random dynamics of the traffic flow phenomena. The novelty of this paper is the developed framework, based on the Poisson process, the kinematics of urban road traffic flow, and the intermediate modelling approach, which were combined to formulate the model. Empirical data from an urban road in Ghana was used to explore the model’s fidelity. The results show that the distribution from the model correlates well with that of the empirical traffic, providing a strong validation of the new framework and instilling confidence in its potential for significantly improved forecasts and, hence, a more hopeful outlook for real-world traffic management.
文摘Objective: To analyze the clinical manifestations of intraocular lens (IOL) opacity after cataract surgery through case reports, and to explore its pathogenesis and diagnosis and treatment ideas, so as to provide a basis for the early diagnosis and correct treatment of IOL opacity. Methods: The clinical data of one patient diagnosed with IOL opacity and underwent intraocular lens replacement in the Department of Ophthalmology, Affiliated Hospital of Youjiang Medical College for Nationalities in December 2023 were reported. The characteristics of IOL opacity were observed, and the research progress and pathogenesis of IOL opacity were understood by consulting the literature. Results: This patient is the first case of IOL opacity in our hospital. The specific reason is unclear. It is considered to be related to the IOL material. Conclusion: Hydrophilic acrylic IOL is widely used in clinic because of its good histocompatibility. However, due to its hydrophilicity, there are more cases of IOL opacity than other types of IOL. At present, there is no unified conclusion on the etiology and mechanism of IOL opacity. IOL opacity can seriously affect vision and is easily misdiagnosed as a posterior cataract. We should fully disperse the large pupil and carefully observe under the slit lamp. The most effective treatment for this disease is IOL replacement.
文摘Background: Diabetes Mellitus (DM) is a growing health issue in Bangladesh, with significant complications affecting the quality of life (QoL). This study aims to assess long-term complications, treatment patterns, and QoL of diabetic patients during COVID-19. Methods: A cross-sectional study was conducted on 385 diabetic patients (aged 18-80) from tertiary hospitals in Dhaka and Mymensingh between May and October 2022. Data were collected via a semi-structured questionnaire on sociodemographics, complications, treatment patterns, and QoL (SF-12 scale). Chi-square tests, ANOVA, and linear regression were used for inferential analysis. Results: The sample predominantly included middle-aged males (41 - 55 years) with type 2 diabetes. Diabetic retinopathy (34.5%), polyneuropathy (32.2%), and hypertension (52.3%) were the most common complications. Oral medications were used by 59.7% of patients, with 29.1% on insulin. Chi-square analysis showed a significant association between treatment adherence and complications (p β = 0.45, p Conclusion: Complications in diabetic patients significantly affect QoL in Bangladesh. Treatment adherence, especially with oral medications, positively impacts QoL. There is a need for improved access to diabetes care to manage complications and enhance the overall well-being of diabetic patients.
文摘为探究新疆长距离输水工程建设中黄土的湿陷性问题,以新疆伊犁河长距离输水工程湿陷性黄土为研究对象,开展渠基黄土不同埋深湿陷性、含水率及孔隙比现场监测试验,重点分析渠基黄土湿陷性的空间分布规律。通过室内自重湿陷试验、浸水压缩试验对不同含水率原状黄土的湿陷特征、孔隙结构进行定量测定,采用微观电镜扫描(scanning electron microscope,简称SEM)和颗粒及裂隙图像识别系统,研究不同湿陷次数、不同竖向应力作用下原状黄土湿陷特征与内部微观孔隙结构的关系。研究结果表明:(1)输水渠道黄土的湿陷性主要受含水率控制,含水率越小,微观孔隙结构特征越显著,湿陷变形特征也越大,且具有一定的“剩余”湿陷性。(2)黄土在湿陷变形过程中存在颗粒软化效应和聚合物效应,孔隙结构逐渐减小,引起了较大的湿陷变形,且在低含水率状态时湿陷变形特征更加显著。(3)长距离输水渠道黄土的湿陷性随埋深增大而逐渐减弱,且渠基黄土的湿陷是多次发生的,先期湿陷性较大、后期湿陷性较小,渠基黄土湿陷性具有多阶段特征。
文摘Deep learning plays a vital role in real-life applications, for example object identification, human face recognition, speech recognition, biometrics identification, and short and long-term forecasting of data. The main objective of our work is to predict the market performance of the Dhaka Stock Exchange (DSE) on day closing price using different Deep Learning techniques. In this study, we have used the LSTM (Long Short-Term Memory) network to forecast the data of DSE for the convenience of shareholders. We have enforced LSTM networks to train data as well as forecast the future time series that has differentiated with test data. We have computed the Root Mean Square Error (RMSE) value to scrutinize the error between the forecasted value and test data that diminished the error by updating the LSTM networks. As a consequence of the renovation of the network, the LSTM network provides tremendous performance which outperformed the existing works to predict stock market prices.
