Discrimination,a major social factor influencing health,can influence both the risk and course of cancer.The medical and psychological mechanisms through which discrimination can impact the onset and spread of cancer ...Discrimination,a major social factor influencing health,can influence both the risk and course of cancer.The medical and psychological mechanisms through which discrimination can impact the onset and spread of cancer are explored in depth in this conceptual evaluation.In addition to investigating the ethical aspects of discrimination in cancer research,it also studies the effects of bias on cancer detection and therapy.In addition,this review provides suggestions for reducing the effect of discrimination on cancer risk and outcomes.Discrimination,in particular,can trigger the growth and spread of cancer via various pathways,including stress,inflammation,and changes in epigenetic patterns.It can also affect the immune system,making the body more vulnerable to the proliferation of cancerous cells.Discrimination can result in hindrances or delays in the process of cancer screening and treatment,and it can influence the quality of care for individuals suffering from cancer.This can contribute to the presence of disparities in terms of cancer vulnerability,occurrence,mortality,and survival rates among different demographic groups.Various measures can be implemented to mitigate the impact of discrimination on cancer vulnerability and outcomes.These measures address the underlying causes of discrimination,ensure that all individuals have access to exceptional cancer care,promote the acquisition of cultural proficiency and anti-bias training by healthcare providers,and develop and implement interventions to reduce discrimination’s impact on cancer vulnerability,screening,and treatment.展开更多
The paper applles the methods of discriminant analy-sis,logistic regression and artificial neural networkto the credit risk evaluation of individual housingmortgage loan made by commercial banks.On thebase of the comp...The paper applles the methods of discriminant analy-sis,logistic regression and artificial neural networkto the credit risk evaluation of individual housingmortgage loan made by commercial banks.On thebase of the comparison among the results of thesethree methods,the article analyzes their effectivenessand concludes that artificial neural network methodshould be the best choice.展开更多
In Italian companies, especially in small and medium enterprises （SME）, the management of financial risks, that is considered out of the core business, has not taken yet the role that it should compete in the logic ...In Italian companies, especially in small and medium enterprises （SME）, the management of financial risks, that is considered out of the core business, has not taken yet the role that it should compete in the logic of value creation that a lot of the company＇s management argues. Towards risk is witnessing a real cultural rejection, mostly it originated from the widespread belief that its operation is fraught with positive effects only in companies that have particular degrees of complexity, because they are organized in groups or because they operate in markets and different contexts. This was due to an erroneous conception of the value that drives most of the businesses to remain, in fact, and still anchored to traditional forms of management, aimed at maximizing performance accounting. The paper after analyzing the default risk proceeds to calculate the Zeta-score through discriminant analysis of a panel of companies belonging to the automotive sector.展开更多
文摘Discrimination,a major social factor influencing health,can influence both the risk and course of cancer.The medical and psychological mechanisms through which discrimination can impact the onset and spread of cancer are explored in depth in this conceptual evaluation.In addition to investigating the ethical aspects of discrimination in cancer research,it also studies the effects of bias on cancer detection and therapy.In addition,this review provides suggestions for reducing the effect of discrimination on cancer risk and outcomes.Discrimination,in particular,can trigger the growth and spread of cancer via various pathways,including stress,inflammation,and changes in epigenetic patterns.It can also affect the immune system,making the body more vulnerable to the proliferation of cancerous cells.Discrimination can result in hindrances or delays in the process of cancer screening and treatment,and it can influence the quality of care for individuals suffering from cancer.This can contribute to the presence of disparities in terms of cancer vulnerability,occurrence,mortality,and survival rates among different demographic groups.Various measures can be implemented to mitigate the impact of discrimination on cancer vulnerability and outcomes.These measures address the underlying causes of discrimination,ensure that all individuals have access to exceptional cancer care,promote the acquisition of cultural proficiency and anti-bias training by healthcare providers,and develop and implement interventions to reduce discrimination’s impact on cancer vulnerability,screening,and treatment.
文摘The paper applles the methods of discriminant analy-sis,logistic regression and artificial neural networkto the credit risk evaluation of individual housingmortgage loan made by commercial banks.On thebase of the comparison among the results of thesethree methods,the article analyzes their effectivenessand concludes that artificial neural network methodshould be the best choice.
文摘In Italian companies, especially in small and medium enterprises （SME）, the management of financial risks, that is considered out of the core business, has not taken yet the role that it should compete in the logic of value creation that a lot of the company＇s management argues. Towards risk is witnessing a real cultural rejection, mostly it originated from the widespread belief that its operation is fraught with positive effects only in companies that have particular degrees of complexity, because they are organized in groups or because they operate in markets and different contexts. This was due to an erroneous conception of the value that drives most of the businesses to remain, in fact, and still anchored to traditional forms of management, aimed at maximizing performance accounting. The paper after analyzing the default risk proceeds to calculate the Zeta-score through discriminant analysis of a panel of companies belonging to the automotive sector.
