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We provide an overview of the status of Monte-Carlo event generators for high-energy particle physics. Guided by the experimental needs and requirements, we highlight areas of active development, and opportunities for future improvements. Particular emphasis is given to physics models and algorithms that are employed across a variety of experiments. These common themes in event generator development lead to a more comprehensive understanding of physics at the highest energies and intensities, and allow models to be tested against a wealth of data that have been accumulated over the past decades. A cohesive approach to event generator development will allow these models to be further improved and systematic uncertainties to be reduced, directly contributing to future experimental success. Event generators are part of a much larger ecosystem of computational tools. They typically involve a number of unknown model parameters that must be tuned to experimental data, while maintaining the integrity of the underlying physics models. Making both these data, and the analyses with which they have been obtained accessible to future users is an essential aspect of open science and data preservation. It ensures the consistency of physics models across a variety of experiments.

This study aimed to assess the diagnostic performance of a machine learning approach that utilized radiomic features extracted from Cone Beam Computer Tomography (CBCT) images and inflammatory biomarkers for distinguishing between Dentigerous Cysts (DCs), Odontogenic Keratocysts (OKCs), and Unicystic Ameloblastomas (UAs). This retrospective study involves 103 patients who underwent jaw lesion surgery in the Maxillofacial Surgery Unit of Federico II University Of Naples between January 2018 and January 2023. Nonparametric Wilcoxon-Mann-Whitney and Kruskal Wallis tests were used for continuous variables. Linear and non-logistic regression models (LRM and NLRM) were employed, along with machine learning techniques such as decision tree (DT), k-nearest neighbor (KNN), and support vector machine (SVM), to predict the outcomes. When individual inflammatory biomarkers were considered alone, their ability to differentiate between OKCs, UAs, and DCs was below 50 % accuracy. However, a linear regression model combining four inflammatory biomarkers achieved an accuracy of 95 % and an AUC of 0.96. The accuracy of single radiomics predictors was lower than that of inflammatory biomarkers, with an AUC of 0.83. The Fine Tree model, utilizing NLR, SII, and one radiomic feature, achieved an accuracy of 94.3 % (AUC = 0.95) on the training and testing sets, and a validation set accuracy of 100 %. The Fine Tree model demonstrated the capability to discriminate between OKCs, UAs, and DCs. However, the LRM utilizing four inflammatory biomarkers proved to be the most effective algorithm for distinguishing between OKCs, UAs, and DCs., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Author(s). Published by Elsevier Masson SAS.. All rights reserved.)

Background: Protective loop ileostomy (PLI), commonly performed in rectal cancer surgery, is one of the most reliable methods to reduce the risk of sepsis associated with anastomotic complications. The correct timing of PLI closure is not well defined. Recently, most surgeons proposed to close early the PLI. The aim of this study was to evaluate the impact of the timing of stoma closure on postoperative outcomes., Methods: We analyzed prospectively data of patients who received PLI anterior resection for rectal cancer between January 2020 to June 2022. Patients were divided into 2 groups according to the timing of stoma closure, until four weeks (EC group) and more than four weeks (LC group). Outpatient clinic follow-up, perioperative data, postoperative complications and evidence of anterior resection syndrome with the Low-Anterior Resection Score (LARS) score were recorded., Results: In the EC group 24 patients were included while 27 patients were considered for LC group. There were no differences between the groups with respect to all parameters, except for recourse to adjuvant therapy, higher for LC group. Perioperative analyzed characteristics were similar among groups. There was no statistically significant difference between the EC group and the LC group for complication rate. LARS score was higher in the LC group for score >20 and >30., Conclusions: Timing of PLI closure was not a significant independent predictor of post-closure complications rate. LARS incidence was significantly related to longer time of closure, with probably late recovery of motility function, but this should be confirmed by randomized studies.

New advanced technologies have recently been developed and preliminarily applied to surgery, including virtual reality (VR), augmented reality (AR) and mixed reality (MR). We retrospectively review all colorectal cases in which we used holographic 3D reconstruction from February 2020 to December 2022. This innovative approach was used to identify vascular anomalies, pinpoint tumor locations, evaluate infiltration into neighboring organs and devise surgical plans for both training and educating trainee assistants. We have also provided a state-of-the-art analysis, briefly highlighting what has been stated by the scientific literature to date. VR facilitates training and anatomical assessments, while AR enhances training and laparoscopic performance evaluations. MR, powered by HoloLens, enriches anatomic recognition, navigation, and visualization. Successful implementation was observed in 10 colorectal cancer cases, showcasing the effectiveness of MR in improving preoperative planning and its intraoperative application. This technology holds significant promise for advancing colorectal surgery by elevating safety and reliability standards., (Copyright © 2024 The Author(s). Published by Elsevier España, S.L.U. All rights reserved.)

Background: Hypoparathyroidism-related hypocalcemia is a common complication after total thyroidectomy (TT), particularly if there is a history of prior bariatric surgery. However, it is still unknown if it is the surgery timing or the type of bariatric intervention that increases the risk of developing this complication. Methods: We compared the risk of hypocalcemia (serum calcium levels < 8 mg/dL) and hypoparathyroidism (both transient and permanent) between patients with restrictive procedures (LSG and GB) and patients without a history of obesity surgery in the immediate post-operative period and after 12 months. Hypoparathyroidism was considered permanent if the plasma parathyroid hormone (PTH) levels at 6 months were less than 15 pg/mL and the patient still required oral calcium (calcium carbonate) and vitamin D supplementation, in addition to the supplements that were taken routinely before thyroidectomy. Results: From the 96 patients who underwent TT, 50% had a history of bariatric surgery: 36 LSG and 12 GB. The risk of hypocalcemia was similar in patients with a history of restrictive procedures (31.35%) and in controls (25%) (p = 0.49). Furthermore, hypocalcemia risk was similar between patients with a history of LSG (30.5%) and GB (33%) (p = 0.85). The prevalences of transient and permanent hypoparathyroidism were similar between patients with a history of restrictive procedures and in controls; similarly, no differences were detected between subjects undergoing LSG and GB. Conclusions: Restrictive bariatric surgery (LSG and GB) is not a risk factor for post-thyroidectomy hypocalcemia and hypoparathyroidism and thus did not require a different perioperative supplementation protocol compared to subjects without history of bariatric surgery undergoing TT.

Objectives: To evaluate the effect of the SARS-CoV-2 lockdown on dietary habits, body weight, left hepatic lobe volume, use of micronutrient supplements, micronutrient status, frequency of physical activity, and evolution of comorbidities in patients undergoing preoperative care for BS., Materials and Methods: We prospectively evaluated the dietary habits (including use of micronutrient supplements and frequency of physical activity) of 36 patients who were candidates for BS from March to May 2020; 7-day food dietary records, body weight, left hepatic lobe volume by ultrasound, micronutrient status, and evolution of comorbidities were assessed., Results: All patients completed the study. Of the participants, 44.4% (16/36), 47.2% (17/36), and 27.8% (10/36) followed the preoperative indications for vegetables, fruits, and legumes, respectively, whereas over 50% did not. Furthermore, 30.6% (11/36) and 55.6% (20/36) of participants followed the prescribed recommendations for carbohydrates/sweets products and alcohol, respectively. A total of 61.1% (22/36) of participants experienced new foods and new culinary preparations. In addition, at the time of the study, we found that only 11.1% (4/36) were engaged in prescribed physical activity and only 36.1% (13/36) were taking prescribed micronutrient supplements. Compared to the initial weight, we observed an increased body weight and body mass index (+4.9%, p = 0.115; +1.89%, p = 0.0692, respectively), and no improvement in left hepatic lobe volume, micronutrient status, or comorbidities was recorded for any patient in the anamnesis., Conclusions: Lockdown determined by the SARS-CoV-2 pandemic has negatively affected the preoperative program of BS candidates, resulting in a postponement to the resumption of bariatric surgical activity.