Seed germination report for Limonium merxmuelleri subsp. merxmuelleri (Plumbaginaceae)

The present report illustrates the first germination data of Limonium merxmuelleri subsp. merxmuelleri, a pioneer species of mine waste materials of Iglesiente region (South-West Sardinia). After harvesting, seeds were subjected to germination tests at the Sardinian Germplasm Bank (BG-SAR). The results show a high germination capability and germination rate at each tested temperature, with a slight germination reduction at the highest temperature (25°C) that simulates the aridity of the summer period

Using Mediterranean Native Plants for the Phytoremediation of Mining Sites: An Overview of the Past and Present, and Perspectives for the Future

Mining exploitation in the Mediterranean Basin has left evident scars on the environment, and poses serious risks for human health and biodiversity, especially when mine wastes are left abandoned. This review analysed the main issues of metal(loid)s pollution related to mine exploitation in the Mediterranean Basin. Here, a list of Mediterranean native plant species studied for phytoremediation is given and, considering their biological forms, vegetational types, and ecology, we categorised them into halotolerant and hydro/hygrophilous vegetation, annual and perennial meadows, garrigues and maquis, and high maquis and woods. The main conclusions of the review are as follows: (1) plant communities established on mine environments are often rich in endemic taxa which ensure a high biodiversity and landscape value, and can help in the psychophysical health of local inhabitants; (2) political and land management should take greater account of the use of native plants for the remediation of contaminated soils; (3) a multidisciplinary approach that includes, among others, studies on biochemical response to metal(loid)s as well as the application of innovative soil amendments gives better results; (4) phytoextraction applications require a detailed recovery plan that takes into consideration several issues, including the negative influence on biodiversity due to extensive use of monotypic plantations, disposal of harvested hazardous plants, and the risk of phytoextracts entering the food chain; and (5) more studies are necessary to increase knowledge and to detect suitable species—especially halophytic ones—for phytoremediation purposes

Nationwide analysis of open groin hernia repairs in Italy from 2015 to 2020

Introduction: Inguinal hernia repair is one of the most commonly performed operations in general surgery. A total of 130.000 inguinal hernia repairs are performed yearly in Italy, and approximately 20 million inguinal hernias are treated worldwide annually. This report represents the trend analysis in inguinal hernia repair in Italy from a nationwide dataset for the 6-year period from 2015 to 2020. Materials and methods: Based on regional hospital discharge records, all the inguinal hernia repairs performed in public and private hospitals in Italy between 2015 and 2020 were reviewed based on diagnosis and procedure codes. For the aim of this study, data from the AgeNas (The National Agency for Regional Health Services) data source were analyzed. Results: Elective inguinal hernia repairs outnumbered urgent operations over the 6-year study period, ranging from 122,737 operations in 2015 to 65,780 in 2020 as absolute numbers, and from 87.96 to 83.3% of total procedures in 2019 and 2020 respectively, with an annual change ranging from - 66.58%, between 2020 and 2019, to - 2.49%, between 2019 and 2018 (mean = - 18.74%; CI =- 46.7%-9.22%; p < 0.0001). Conclusions: This large-scale review of groin hernia data from a nationwide Italian dataset provides a unique opportunity to obtain a snapshot of open groin hernia repair activity. More specifically, there is a trend to perform more elective than urgent procedures and there is a steady decrease in the amount of open hernia repairs in favor to laparoscopy

Ensembling and Dynamic Asset Selection for Risk-Controlled Statistical Arbitrage

In recent years, machine learning algorithms have been successfully employed to leverage the potential of identifying hidden patterns of financial market behavior and, consequently, have become a land of opportunities for financial applications such as algorithmic trading. In this paper, we propose a statistical arbitrage trading strategy with two key elements: an ensemble of regression algorithms for asset return prediction, followed by a dynamic asset selection. More specifically, we construct an extremely heterogeneous ensemble ensuring model diversity by using state-of-the-art machine learning algorithms, data diversity by using a feature selection process, and method diversity by using individual models for each asset, as well models that learn cross-sectional across multiple assets. Then, their predictive results are fed into a quality assurance mechanism that prunes assets with poor forecasting performance in the previous periods. We evaluate the approach on historical data of component stocks of the SP500 index. By performing an in-depth risk-return analysis, we show that this setup outperforms highly competitive trading strategies considered as baselines. Experimentally, we show that the dynamic asset selection enhances overall trading performance both in terms of return and risk. Moreover, the proposed approach proved to yield superior results during both financial turmoil and massive market growth periods, and it showed to have general application for any risk-balanced trading strategy aiming to exploit different asset classes

Dabigatran overload in acute kidney injury: haemodialysis or idarucizumab? A case report and proposal for a decisional algorithm

Dabigatran overload has been reported in acute kidney injury (AKI), leading to occasional major bleeding. Haemodialysis (HD) was the method used for reversing dabigatran anticoagulant effects before the approval of idarucizumab, which is now indicated for dabigatran reversal in major bleeding or surgical emergencies. There have been reports of rebound of dabigatran levels following idarucizumab administration in AKI, requiring HD to achieve effective dabigatran clearance. However, a decisional algorithm to individualize treatments for dabigatran overload seems lacking. We present a case of dabigatran accumulation in obstructive AKI with minor bleeding that was successfully treated with HD and tranexamic acid without using idarucizumab, and propose a decision-making algorithm including different pathways in the management of suspected dabigatran overload in AKI

Low-pressure versus standard-pressure pneumoperitoneum in laparoscopic cholecystectomy: a systematic review and meta-analysis of randomized controlled trials

Introduction: It has been previously demonstrated that the rise of intra-abdominal pressures and prolonged exposure to such pressures can produce changes in the cardiovascular and pulmonary dynamic which, though potentially well tolerated in the majority of healthy patients with adequate cardiopulmonary reserve, may be less well tolerated when cardiopulmonary reserve is poor. Nevertheless, theoretically lowering intra-abdominal pressure could reduce the impact of pneumoperitoneum on the blood circulation of intra-abdominal organs as well as cardiopulmonary function. However, the evidence remains weak, and as such, the debate remains unresolved. The aim of this systematic review and meta-analysis was to demonstrate the current knowledge around the effect of pneumoperitoneum at different pressures levels during laparoscopic cholecystectomy. Materials and methods: This systematic review and meta-analysis were reported according to the recommendations of the 2020 updated Preferred Reporting Items for Systematic reviews and Meta-analyses (PRISMA) guidelines, and the Cochrane handbook for systematic reviews of interventions. Results: This systematic review and meta-analysis included 44 randomized controlled trials that compared different pressures of pneumoperitoneum in the setting of elective laparoscopic cholecystectomy. Length of hospital, conversion rate, and complications rate were not significantly different, whereas statistically significant differences were observed in post-operative pain and analgesic consumption. According to the GRADE criteria, overall quality of evidence was high for intra-operative bile spillage (critical outcome), overall complications (critical outcome), shoulder pain (critical outcome), and overall post-operative pain (critical outcome). Overall quality of evidence was moderate for conversion to open surgery (critical outcome), post-operative pain at 1 day (critical outcome), post-operative pain at 3 days (important outcome), and bleeding (critical outcome). Overall quality of evidence was low for operative time (important outcome), length of hospital stay (important outcome), post-operative pain at 12 h (critical outcome), and was very low for post-operative pain at 1 h (critical outcome), post-operative pain at 4 h (critical outcome), post-operative pain at 8 h (critical outcome), and post-operative pain at 2 days (critical outcome). Conclusions: This review allowed us to draw conclusive results from the use of low-pressure pneumoperitoneum with an adequate quality of evidence

Explainable Machine Learning Exploiting News and Domain-Specific Lexicon for Stock Market Forecasting

In this manuscript, we propose a Machine Learning approach to tackle a binary classification problem whose goal is to predict the magnitude (high or low) of future stock price variations for individual companies of the SP 500 index. Sets of lexicons are generated from globally published articles with the goal of identifying the most impactful words on the market in a specific time interval and within a certain business sector. A feature engineering process is then performed out of the generated lexicons, and the obtained features are fed to a Decision Tree classifier. The predicted label (high or low) represents the underlying company's stock price variation on the next day, being either higher or lower than a certain threshold. The performance evaluation we have carried out through a walk-forward strategy, and against a set of solid baselines, shows that our approach clearly outperforms the competitors. Moreover, the devised Artificial Intelligence (AI) approach is explainable, in the sense that we analyze the white-box behind the classifier and provide a set of explanations on the obtained results

Factors influencing delayed discharge after day-surgery laparoscopic cholecystectomy: the DeDiLaCo study protocol

OBJECTIVE: Laparoscopic cholecystectomy (LC) is the gold standard for most benign gallbladder diseases. Early discharge (<24 hours) has the same outcomes as longer (>24 hours) hospital stay. Nevertheless, the rate of delayed discharge >24 hours range from 4.6% to 37%. The primary endpoint of this Italian nationwide study is to analyze the prevalence of patients undergoing elective LC who experienced a delayed discharge >24 hours and identify potential limiting factors of early discharge. Results from these analyses will be used to select patients who can be safely discharged on the same day after surgery. Secondary endpoints will be to evaluate the patient’s quality of life (QoL), assess the direct health costs associated with late discharge, and quantify the patient’s involvement in the treatment process. PATIENTS AND METHODS: This prospective, observational study was conducted following a resident-led model and the Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines. All patients were treated according to the local hospital protocol and received routine care as standard therapy. RESULTS: We expected to obtain the enrollment of at least 500 patients based on an assumed difference in discharge delay between the reference and the recruitable population of 6% and the identification of factors related to discharge failure within 24 h. Early discharge after LC leads to advantages both in terms of clinical outcomes and quality of life of the patient, and it is highly effective in terms of health costs and shortening the waiting list. However, clinical reality differs from the results of randomized studies by a complex series of non-objectionable real-world data influencing treatment plans. Therefore, we expected to identify independent predictors and factors of failure of early discharge. CONCLUSIONS: Clinical reality often differs from randomized trial results. In Italy, the vast majority of delayed discharges after LC may not be related to surgery and can be prevented both with logistical reorganization and with a readjustment of the trust reimbursement policies