Auto CAD软件应用及其专用周课程具有很强的实践性与应用性，为了进一步提高学生机械零件图识图能力与绘图能力，本文探索了在Pro-E三维实体模型的指导下，对二维零件图结构、形状、特征的详细地分析的教学方法。课堂教学结果表明：增...Auto CAD软件应用及其专用周课程具有很强的实践性与应用性，为了进一步提高学生机械零件图识图能力与绘图能力，本文探索了在Pro-E三维实体模型的指导下，对二维零件图结构、形状、特征的详细地分析的教学方法。课堂教学结果表明：增强了同学们机械零件的识图能力，提高了同学们机械零件的绘图能力。展开更多
Purpose: The aim of this study was to determine the incidence and pattern of injuries resulting from auto-tricycle crashes among patients in a tertiary referral centre in Ghana. Methods: Data were retrospectively extr...Purpose: The aim of this study was to determine the incidence and pattern of injuries resulting from auto-tricycle crashes among patients in a tertiary referral centre in Ghana. Methods: Data were retrospectively extracted from hospital records of patients who got involved in auto-tricycle crashes and presented to the Accident and Emergency Centre of the Komfo Anokye Teaching Hospital (KATH), over a one-year period using a structured questionnaire. The gathered data were then entered into an electronic database and then analysed with SPSS version 20.0. Results: The incidence of injury following auto-tricycle crashes over the one-year period was 5.9% (95% CI: 4.9% - 7.0%) with a case fatality rate (FR) of 3.8% (95% CI: 1.3% - 8.7%). All the mortalities resulted from head and neck injuries and none of the patients involved wore a crash helmet. Only 5% of those studied wore crash helmets and were all drivers. Closed fractures accounted for 58% of the injuries, followed by open fractures, 28%. The most commonly fractured bones were the tibia/fibula, followed by the femur and then radius/ulna. The most common mechanism of injury was auto-tricycle toppling over (29%). Passengers were the most injured (48%), followed by drivers (37%) and pedestrians (15%). Most (72%) injuries among participants involved a single body part. On the injury severity scale, most (61%) of patients had minor trauma and 38% had major trauma. Conclusion: Auto-tricycle crashes account for 5.9% of injuries at the study site with a case fatality rate of 3.8%. Passengers had a higher injury rate (48%) than drivers (37%). Fractures of the tibia/fibula were most commonly associated with auto-tricycle crashes. Injuries to the head and neck were responsible for the deaths in the study participants and non-use of a crash helmet was associated with mortalities.展开更多
In this paper, the Automated Actuarial Loss Reserving Model is developed and extended using machine learning. The traditional actuarial reserving techniques are no longer compatible with the increase in technological ...In this paper, the Automated Actuarial Loss Reserving Model is developed and extended using machine learning. The traditional actuarial reserving techniques are no longer compatible with the increase in technological advancement currently at hand. As a result, the development of the alternative Artificial Intelligence Based Automated Actuarial Loss Reserving Methodology which captures diverse risk profiles for various policyholders through augmenting the Micro Finance services, Auto Insurance Services and Both Services lines of business on the same platform through the computation of the Comprehensive Automated Actuarial Loss Reserves (CAALR) has been implemented in this paper. The introduction of the four further types of actuarial loss reserves to those existing in the actuarial literature seems to significantly reduce lapse rates, reduce the reinsurance costs as well as expenses and outgo. As a matter of consequence, this helps to bring together a combination of new and existing policyholders in the insurance company. The frequency severity models have been extended in this paper using ten machine learning algorithms which ultimately leads to the derivation of the proposed machine learning-based actuarial loss reserving model which remarkably performed well when compared to the traditional chain ladder actuarial reserving method using simulated data.展开更多
Background: Condyloma acuminatum (CA), also known as a genital wart (GW), is a sexually transmitted disease caused by human papillomavirus (HPV). HPV lesions, recurrence tendency, and risk of malignant formation are p...Background: Condyloma acuminatum (CA), also known as a genital wart (GW), is a sexually transmitted disease caused by human papillomavirus (HPV). HPV lesions, recurrence tendency, and risk of malignant formation are primarily dependent on the person’s immunity level. GW recurrence is a major challenge in CA treatment. The aim of this study was to explore how lesional auto-transplantation (LT) can be used to treat CA and decrease its recurrence. Methods: We treated CA through the preparation and implantation of tissue from nine CA patients in our dermatology clinic. Transplantation of small pieces of HPV lesions to the subcutaneous fat of the inguinal region was carried out with the help of a simple surgical method under local anesthesia. Patients were followed up for six to eight months. We searched PubMed and the Web of Science for treatment options for CA to compare our treatment method recurrence rate with existing treatment options. Results: During three months of follow-up, seven patients experienced no recurrence of condyloma lesions, while two patients experienced recurrence of small lesions of condyloma acuminatum. The recurrence rate of CA once treated by auto-transplantation was relatively low compared to other CA treatment options. Conclusions: Transplantation of HPV lesions to the inguinal area reduces the recurrence rate in sexually active individuals. The 2/9 recurrence after implantation could be due to poor hygiene, sexual relationships or immune factors.展开更多
文摘Purpose: The aim of this study was to determine the incidence and pattern of injuries resulting from auto-tricycle crashes among patients in a tertiary referral centre in Ghana. Methods: Data were retrospectively extracted from hospital records of patients who got involved in auto-tricycle crashes and presented to the Accident and Emergency Centre of the Komfo Anokye Teaching Hospital (KATH), over a one-year period using a structured questionnaire. The gathered data were then entered into an electronic database and then analysed with SPSS version 20.0. Results: The incidence of injury following auto-tricycle crashes over the one-year period was 5.9% (95% CI: 4.9% - 7.0%) with a case fatality rate (FR) of 3.8% (95% CI: 1.3% - 8.7%). All the mortalities resulted from head and neck injuries and none of the patients involved wore a crash helmet. Only 5% of those studied wore crash helmets and were all drivers. Closed fractures accounted for 58% of the injuries, followed by open fractures, 28%. The most commonly fractured bones were the tibia/fibula, followed by the femur and then radius/ulna. The most common mechanism of injury was auto-tricycle toppling over (29%). Passengers were the most injured (48%), followed by drivers (37%) and pedestrians (15%). Most (72%) injuries among participants involved a single body part. On the injury severity scale, most (61%) of patients had minor trauma and 38% had major trauma. Conclusion: Auto-tricycle crashes account for 5.9% of injuries at the study site with a case fatality rate of 3.8%. Passengers had a higher injury rate (48%) than drivers (37%). Fractures of the tibia/fibula were most commonly associated with auto-tricycle crashes. Injuries to the head and neck were responsible for the deaths in the study participants and non-use of a crash helmet was associated with mortalities.
文摘In this paper, the Automated Actuarial Loss Reserving Model is developed and extended using machine learning. The traditional actuarial reserving techniques are no longer compatible with the increase in technological advancement currently at hand. As a result, the development of the alternative Artificial Intelligence Based Automated Actuarial Loss Reserving Methodology which captures diverse risk profiles for various policyholders through augmenting the Micro Finance services, Auto Insurance Services and Both Services lines of business on the same platform through the computation of the Comprehensive Automated Actuarial Loss Reserves (CAALR) has been implemented in this paper. The introduction of the four further types of actuarial loss reserves to those existing in the actuarial literature seems to significantly reduce lapse rates, reduce the reinsurance costs as well as expenses and outgo. As a matter of consequence, this helps to bring together a combination of new and existing policyholders in the insurance company. The frequency severity models have been extended in this paper using ten machine learning algorithms which ultimately leads to the derivation of the proposed machine learning-based actuarial loss reserving model which remarkably performed well when compared to the traditional chain ladder actuarial reserving method using simulated data.
文摘Background: Condyloma acuminatum (CA), also known as a genital wart (GW), is a sexually transmitted disease caused by human papillomavirus (HPV). HPV lesions, recurrence tendency, and risk of malignant formation are primarily dependent on the person’s immunity level. GW recurrence is a major challenge in CA treatment. The aim of this study was to explore how lesional auto-transplantation (LT) can be used to treat CA and decrease its recurrence. Methods: We treated CA through the preparation and implantation of tissue from nine CA patients in our dermatology clinic. Transplantation of small pieces of HPV lesions to the subcutaneous fat of the inguinal region was carried out with the help of a simple surgical method under local anesthesia. Patients were followed up for six to eight months. We searched PubMed and the Web of Science for treatment options for CA to compare our treatment method recurrence rate with existing treatment options. Results: During three months of follow-up, seven patients experienced no recurrence of condyloma lesions, while two patients experienced recurrence of small lesions of condyloma acuminatum. The recurrence rate of CA once treated by auto-transplantation was relatively low compared to other CA treatment options. Conclusions: Transplantation of HPV lesions to the inguinal area reduces the recurrence rate in sexually active individuals. The 2/9 recurrence after implantation could be due to poor hygiene, sexual relationships or immune factors.
