Irreversible electroporation (IRE) is an emerging technique that has drawn attention in the field of cancer treatment. IRE uses non-thermal electric pulses to induce death of cancerous cells. However, recent studies have shown that the application of this technique may result in heating of the tissue. There is still room for improving its efficiency and defining better treatment protocols. This study investigates the optimal IRE protocols that avoiding the thermal damage during the IRE treatment. Electrode and pulse parameter are investigated. Finite element models are created to evaluate the ablation area and the temperature changes in the tissue. The model is validated experimentally in bovine liver tissue, while the parameters were optimized using response surface method (RSM). From analysis of variance, the parameter of electrode distance and input voltage has significant effect to the temperature rise in the IRE treatment of bovine liver (P = 0.020 and P = 0.003 respectively). Meanwhile, only the input voltage significantly affects the ablation area (P < 0.001). The optimal result from RSM showed that for maximum ablation area 250.82mm with no thermal damage, the IRE protocol consisted of an active electrode length of 10mm, a distance between electrodes of 10mm, and the delivery of 50 pulses of 41.21µs and 3000V. The approach presented in this study allows the optimization of the IRE protocols. An optimal IRE protocol that maximizes the ablation area was successfully calculated which can be applied with no risk of thermal damage to the tissue.The approach presented in this study allows the optimization of the IRE protocols. An optimal IRE protocol that maximizes the ablation area was successfully calculated which can be applied with no risk of thermal damage to the tissue. Automatic recognition and removal of smoke in surgical procedures can reduce risks to the patient by supporting the surgeon. Surgical smoke changes its visibility over time, impacting the vision depending on its amount and the volume of the body cavity. While modern deep learning algorithms for computer vision require large amounts of data, annotations for training are scarce. This paper investigates the use of unlabeled training data with a modern time-based deep learning algorithm. We propose to improve the state of the art in smoke recognition by enhancing a image classifier based on convolutional neural networks with a recurrent architecture thereby providing temporal context to the algorithm. We enrich the training with unlabeled recordings from similar procedures. The influence of surgical tools on the smoke recognition task is studied to reduce a possible bias. The evaluations show that smoke recognition benefits from the additional temporal information during training. The use of unlabeled data tribution is beneficial to avoid learning biases.Rates of mental illness have increased dramatically over the past 15 years in the United States [Products-Data Briefs-Number 283-August 2017. Centers for Disease Control and Prevention. https//www.cdc.gov/nchs/products/databriefs/db283.htm . Published August 15, 2017]. Additionally, life expectancy has fallen over the past several years due to increases in death from suicide, opioid overdose, and alcoholic liver cirrhosis as reported by Case and Deaton [Deaths of despair and the future of capitalism. Princeton University Press, 2020]. Over the last decade some have questioned whether these changes are due to neoliberal capitalist policies and ideologies. Neoliberal capitalism incorporates theories of eliminating all restrictions on the market and decreasing government assistance programs as reported by Harvey [A brief history of neoliberalism, Oxford University Press, 2005]. Since then these policies have led to income inequality, disempowerment of workers, outsourcing of manufacturing jobs, inadequate social services, mass incarceration and an expensive and ineffective healthcare system as reported by Case and Deaton [Deaths of despair and the future of capitalism. Princeton University Press, 2020] and Nkansah-Amankra et al. [International Journal of Health Services 43(2)217-240, 2013]. LGH447 mw Studies have shown that the consequences of these policies and ideologies likely have a role in increasing rates of mental illness. This paper will discuss how these factors increase mental distress and postulate ways that mental health professionals can advocate for change. Patients with anaplastic thyroid cancer (ATC) have poor overall survival, and the optimal management approach remains unclear. The aim of this study is to evaluate our experience with multimodality (MMT) versus limited treatment (LT) for ATC. A cohort study of patients with ATC managed in a tertiary referral center was undertaken. The outcomes of MMT were compared with those of LT. The primary outcome measures were locoregional control and progression-free and overall survival. Secondary outcome measures were treatment-related complications and factors associated with improved survival. In total, 59 patients (35 females) with a median age of 73 years (range 39-99 years) and ATC stage IVA (n = 2), IVB (n = 28), or IVC (n = 29) were included. LT was utilized in 25 patients (42%), and 34 cases had MMT. MMT patients had a longer time of locoregional control (18.5 versus 1.9 months; p < 0.001), progression-free survival (3.5 versus 1.2 months; p < 0.001), and overall survival (6.9 versus 2.0 months; p < 0.001) when compared with LT. For patients with stage IVC ATC, locoregional control (p = 0.03), progression-free survival (p < 0.001), and overall survival (p < 0.001) were superior in the MMT cohort compared with LT. MMT had more treatment-related complications than LT (p < 0.001). An Eastern Cooperative Oncology Group performance status < 2 (HR 0.30; p = 0.001) and MMT (HR 0.35; p = 0.008) were associated with improved overall survival. MMT is likely to improve locoregional control, progression-free survival, and overall survival in selected ATC patients including stage IVC tumors but comes with a greater complication risk.MMT is likely to improve locoregional control, progression-free survival, and overall survival in selected ATC patients including stage IVC tumors but comes with a greater complication risk.