The accurate prediction of the bearing capacity of ring footings,which is crucial for civil engineering projects,has historically posed significant challenges.Previous research in this area has been constrained by con...The accurate prediction of the bearing capacity of ring footings,which is crucial for civil engineering projects,has historically posed significant challenges.Previous research in this area has been constrained by considering only a limited number of parameters or utilizing relatively small datasets.To overcome these limitations,a comprehensive finite element limit analysis(FELA)was conducted to predict the bearing capacity of ring footings.The study considered a range of effective parameters,including clay undrained shear strength,heterogeneity factor of clay,soil friction angle of the sand layer,radius ratio of the ring footing,sand layer thickness,and the interface between the ring footing and the soil.An extensive dataset comprising 80,000 samples was assembled,exceeding the limitations of previous research.The availability of this dataset enabled more robust and statistically significant analyses and predictions of ring footing bearing capacity.In light of the time-intensive nature of gathering a substantial dataset,a customized deep neural network(DNN)was developed specifically to predict the bearing capacity of the dataset rapidly.Both computational and comparative results indicate that the proposed DNN(i.e.DNN-4)can accurately predict the bearing capacity of a soil with an R2 value greater than 0.99 and a mean squared error(MSE)below 0.009 in a fraction of 1 s,reflecting the effectiveness and efficiency of the proposed method.展开更多
Breast Conserving Surgery (BCS) is a rapidly emerging field increasingly adopted to facilitate breast conservation and preserve breast aesthetics. Since the publicatio</span><span style="font-family:Verd...Breast Conserving Surgery (BCS) is a rapidly emerging field increasingly adopted to facilitate breast conservation and preserve breast aesthetics. Since the publicatio</span><span style="font-family:Verdana;">n of the Randomized Controlled Trials (RCTs) of Breast Conserving Surgery versus mastectomy in early breast cancer, the adoption of BCS for breast cancer patients’ surgical management has been comprehensive. A computerized bibliographic search was performed on PubMed/MEDLINE,</span><span style="font-family:Verdana;"> Embase, Google Scholar and Cochrane library databases. This article aims to perform a thorough review of new data regarding invasive cancer and margins while evaluating patient outcomes related to BCS after neoadjuvant chemotherapy focusing on margins, imaging evaluation, the extent of resection, and local regional recurrence outcomes. The growth pattern and biopsy of Ductal Carcinoma </span><i><span style="font-family:Verdana;">In Situ</span></i><span style="font-family:Verdana;"> (DCIS) differ from invasive cancer, impacting margins. It is essential to understand how the Society of Surgical Oncology (SSO) DCIS margin guideline has influenced practice. Early breast cancer surgical management should be unique to each patient, driven by evidence-based medicine, and focused on specific clinical, histological, and molecular characteristics of the tumor. </span><b><span style="font-family:Verdana;">Conclusion: </span></b><span style="font-family:Verdana;">The current management for early breast cancer should be tailored and evidence-based to each patient based on the clinical, histological and molecular characteristics of the tumor. Presumably, the standard of care in BCS has enhanced the outcomes for this patient population. This review made by peers will help surgeons to stay up to date with the current literature and help them manage breast cancer while improving multiple clinical parameters such as Disease-Free Survival (DFS), Recurrence-Free Survival (RFS) and most importantly Overall Survival (OS)</span></span></span><span style="font-family:Verdana;">.展开更多
文摘The accurate prediction of the bearing capacity of ring footings,which is crucial for civil engineering projects,has historically posed significant challenges.Previous research in this area has been constrained by considering only a limited number of parameters or utilizing relatively small datasets.To overcome these limitations,a comprehensive finite element limit analysis(FELA)was conducted to predict the bearing capacity of ring footings.The study considered a range of effective parameters,including clay undrained shear strength,heterogeneity factor of clay,soil friction angle of the sand layer,radius ratio of the ring footing,sand layer thickness,and the interface between the ring footing and the soil.An extensive dataset comprising 80,000 samples was assembled,exceeding the limitations of previous research.The availability of this dataset enabled more robust and statistically significant analyses and predictions of ring footing bearing capacity.In light of the time-intensive nature of gathering a substantial dataset,a customized deep neural network(DNN)was developed specifically to predict the bearing capacity of the dataset rapidly.Both computational and comparative results indicate that the proposed DNN(i.e.DNN-4)can accurately predict the bearing capacity of a soil with an R2 value greater than 0.99 and a mean squared error(MSE)below 0.009 in a fraction of 1 s,reflecting the effectiveness and efficiency of the proposed method.
文摘Breast Conserving Surgery (BCS) is a rapidly emerging field increasingly adopted to facilitate breast conservation and preserve breast aesthetics. Since the publicatio</span><span style="font-family:Verdana;">n of the Randomized Controlled Trials (RCTs) of Breast Conserving Surgery versus mastectomy in early breast cancer, the adoption of BCS for breast cancer patients’ surgical management has been comprehensive. A computerized bibliographic search was performed on PubMed/MEDLINE,</span><span style="font-family:Verdana;"> Embase, Google Scholar and Cochrane library databases. This article aims to perform a thorough review of new data regarding invasive cancer and margins while evaluating patient outcomes related to BCS after neoadjuvant chemotherapy focusing on margins, imaging evaluation, the extent of resection, and local regional recurrence outcomes. The growth pattern and biopsy of Ductal Carcinoma </span><i><span style="font-family:Verdana;">In Situ</span></i><span style="font-family:Verdana;"> (DCIS) differ from invasive cancer, impacting margins. It is essential to understand how the Society of Surgical Oncology (SSO) DCIS margin guideline has influenced practice. Early breast cancer surgical management should be unique to each patient, driven by evidence-based medicine, and focused on specific clinical, histological, and molecular characteristics of the tumor. </span><b><span style="font-family:Verdana;">Conclusion: </span></b><span style="font-family:Verdana;">The current management for early breast cancer should be tailored and evidence-based to each patient based on the clinical, histological and molecular characteristics of the tumor. Presumably, the standard of care in BCS has enhanced the outcomes for this patient population. This review made by peers will help surgeons to stay up to date with the current literature and help them manage breast cancer while improving multiple clinical parameters such as Disease-Free Survival (DFS), Recurrence-Free Survival (RFS) and most importantly Overall Survival (OS)</span></span></span><span style="font-family:Verdana;">.
