WEUSEDTO—Water End USE Dataset and TOols: An open water end use consumption dataset and data analytics tools

Globalization, climate changes, innovative technologies and new human habits have increased atten- tion to water conservation and management. Therefore, behavioural studies became a key element to understand how and when water is used in residential environment. Water End USE Dataset and TOols (WEUSEDTO), an open water end use consumption dataset and data analytics tools, has been released to help researchers, water utilities and companies to test models and algorithms on real water consumption data. The dataset combines with some notebook python able to analyse high-resolution water data (data recorded with 1 sample per second) to provide several tools to manage raw data, compute statistical analysis, learn fixture usage and generate synthetic simulation models. In addition, washbasin flow data were used as a test case to illustrate the main features of WEUSEDTO: providing volume and duration of single events, classifying usages and simulating user’s behaviour

Development and implementation of an algorithm for preventive machine maintenance

This paper aims to develop a maintenance optimization model to maintain a high level of efficiency and reliability of the machinery. The methodological approach is based on preventive maintenance through the partial or total replacement of critical components. Although an intermediate intervention control, the focus is on a particular machine that has stopped several times, reducing its operational availability and resulting in a high cost of non-production. This study uses a Weibull model to analyze and optimize the correct maintenance process of the machinery considered. The failure data are then analyzed and scheduled. The final purpose is to standardize the operators' intervention procedures to reduce the time for the same interventions

Modelling a safety management system using system dynamics at the Bhopal incident

In a safety management system (SMS), risk management plays a key role for the prevention of accidents. This study aims to propose a safety management model by using a system dynamics approach applied to the Bhopal incident. The model proposed in this paper discusses the relationships among the main causes that have contributed to the occurrence of the incident studied, such as broken safety devices, inadequate personnel experience, operator decisions, manager production strategy, policy decision, as deduced from the relevant literature about the Bhopal incident dynamics. The simulation and the results clarify how to manage the key factors to make the plant safe. Moreover, we want to underline how these key modern aspects of safety could be enhanced by using the enabling technologies of industry 4.0

Smoking cessation interventions in nurses and other health care workers

Introduction: Tobacco smoking can be considered an old and a new challenge for public health. The aim of this review was to analyse different smoking cessation interventions aiming at health care workers.Methods: A literature search of electronic journal databases for studies on smoking cessation interventions among health care workers was performed according to PRISMA criteria, using the MEDLINE and Scopus databases.Results: Smoking restriction policies shouldn’t be considered as actual interventions, being ineffective, unpopular and reducing willingness to quit smoking in many subjects. Even though pharmacological therapies based on bupropion SR and transdermal nicotine patches grant significant results on the short-term (weeks and months), smoking recurrence rates are high and individualised interventions should be preferred or integrated since they seem to grant better results on the longterm (years).Conclusions: There is evidence that smoking cessation interventions among health care workers can be effective. This is of particular interest both for reducing tobacco smoking prevalence among this type of workers and for helping them to be useful model for the general population

Dynamic control of water distribution system based on network partitioning

The availability on the market of remote control valves for water distribution systems allows a more flexible implementation of the “divide and conquer” paradigm, that consists in dividing large networks into smaller district meter areas defining a water network partitioning (WNP), aiming at controlling water balance, pressure levels and water quality protection. The positioning of gate valves is carried out using optimization approaches to guarantee the network reliability that can be significantly reduced by WNP owing to the closure of several pipes by means of gate valves, decreasing topologic and energy redundancy. Anyway, starting from the optimal positioning of remote controlled gate valves, obtained with SWANP software, the paper investigates the effectiveness of dynamic control, in order to face hydraulic failure in fire estinguishment. The proposed methodology, based on heuristic optimization algorithm, finds the optimal layouts minimizing the number of valves to be opened and maximizing the system performance. The study highlights the advantages of adaptively reconfigurable networks starting from a partitioned system, confirming that a dynamic control represents a significant improvement for smart water networks

Completion total gastrectomy with intracorporeal robot-sewn esophago-jejunal anastomosis

Many technical reports concern minimally invasive surgery for stomach cancer; however, there is poor evidence about employing this approach for gastric stump cancer, which can arise at the anastomotic site in patients who have undergone previous partial gastrectomy for benign diseases such as gastric ulcer. Such surgery was quite common before the introduction of proton pump inhibitors (PPIs), and so today, according to different statistics, gastric stump cancer can be revealed in up to 8% of these patients. This report seeks to highlight the possibility of employing a minimally invasive approach in patients who already had an operation for gastric resection. The video shows technical notes about the hybrid laparoscopic-robotic approach performed in a patient who previously underwent open distal gastrectomy. Is the previous laparotomy an absolute or relative counterindication to reperform a surgery through a minimally invasive approach

Pyridostigmine in pediatric Intestinal pseudo-obstruction. case report of a 2-year old girl and literature review

Pediatric chronic intestinal pseudo-obstruction is a rare disorder characterized by a severe impairment of gastrointestinal motility leading to intestinal obstruction symptoms in the absence of mechanical causes. The diagnosis is usually clinical and diagnostic work is usually aimed to rule out mechanical obstruction and to identify any underlying diseases. Treatment is challenging and requires a multidisciplinary effort. In this manuscript we describe the youngest child successfully treated with the orally administrable, longacting, reversible anti-cholinesterase drug, pyridostigmine. Like other drugs belonging to cholinesterase inhibitors, pyridostigmine enhances gut motility by increasing acetylcholine availability in the enteric nervous system and neuro-muscular junctions. Based on the direct evidence from the reported case, we reviewed the current literature on the use of pyridostigmine in severe pediatric dysmotility focusing on intestinal pseudo-obstruction. The overall data emerged from the few published studies suggest that pyridostigmine is an effective and usually well tolerated therapeutic options for patients with intestinal pseudo-obstruction. More specifically, the main results obtained by pyridostigmine included marked reduction of abdominal distension, reduced need of parenteral nutrition, and improvement of oral feeding. The present case and review on pyridostigmine pave the way for eagerly awaited future randomized controlled studies testing the efficacy of cholinesterase inhibitors in pediatric severe gut dysmotility

Endoscopic retrograde appendicitis therapy versus appendectomy or antibiotics in the modern approach to uncomplicated acute appendicitis: A systematic review and meta-analysis

Endoscopic therapy; Appendicitis; AppendectomyTerapia endoscópica; Apendicitis; ApendicectomíaTeràpia endoscòpica; Apendicitis; ApendicectomiaIntroduction Endoscopic retrograde appendicitis therapy has been proposed as an alternative strategy for treating appendicitis, but debate exists on its role compared with conventional treatment. Methods This systematic review was performed on MEDLINE, Cochrane Central Register of Controlled Trials, and EMBASE. The last search was in April of 2023. The risk ratio with a 95% confidence interval was calculated for dichotomous variables, and the mean difference with a 95% confidence interval for continuous variables. The risk of bias was assessed using the Cochrane Risk of Bias 2.0 tool (randomized controlled trials) and the Risk of Bias in Non-Randomized Studies of Intervention tool (non-randomized controlled trials). Results Six studies met the eligibility criteria. Four studies compared endoscopic retrograde appendicitis therapy (n = 236 patients) and appendectomy (n = 339) and found no differences in technical success during index admission (risk ratio 0.97, 95% confidence interval [0.92,1.02]). Appendectomy showed superior outcomes for recurrence at 1-year follow-up (risk ratio 11.28, 95% confidence interval [2.61,48.73]). Endoscopic retrograde appendicitis therapy required shorter procedural time (mean difference –14.38, 95% confidence interval [–20.17, –8.59]) and length of hospital stay (mean difference –1.19, 95% confidence interval [–2.37, –0.01]), with lower post-intervention abdominal pain (risk ratio 0.21, 95% confidence interval [0.14,0.32]). Two studies compared endoscopic retrograde appendicitis therapy (n = 269) and antibiotic treatment (n = 280). Technical success during admission (risk ratio 1.11, 95% confidence interval [0.91,1.35]) and appendicitis recurrence (risk ratio 1.07, 95% confidence interval [0.08,14.87]) did not differ, but endoscopic retrograde appendicitis therapy decreased the length of hospitalization (mean difference –1.91, 95% confidence interval [–3.18, –0.64]). Conclusion This meta-analysis did not identify significant differences between endoscopic retrograde appendicitis therapy and appendectomy or antibiotics regarding technical success during index admission and treatment efficacy at 1-year follow-up. However, a high risk of imprecision limits these results. The advantages of endoscopic retrograde appendicitis therapy in terms of reduced procedural times and shorter lengths of stay must be balanced against the increased risk of having an appendicitis recurrence at one year

Machine-learning-based Prediction of Gait Events from EMG in Cerebral Palsy Children

Machine-learning techniques are suitably employed for gait-event prediction from only surface electromyographic (sEMG) signals in control subjects during walking. Nevertheless, a reference approach is not available in cerebral-palsy hemiplegic children, likely due to the large variability of foot-floor contacts. This study is designed to investigate a machine-learning-based approach, specifically developed to binary classify gait events and to predict heel-strike (HS) and toe-off (TO) timing from sEMG signals in hemiplegic-child walking. To this objective, sEMG signals are acquired from five hemiplegic-leg muscles in nearly 2500 strides from 20 hemiplegic children, acknowledged as Winters' group 1 and 2. sEMG signals, segmented in overlapping windows of 600 samples (pace = 5 samples), are used to train a multi-layer perceptron model. Intra-subject and inter-subject experimental settings are tested. The best-performing intra-subject approach is able to provide in the hemiplegic population a mean classification accuracy () of 0.97±0.01 and a suitable prediction of HS and TO events, in terms of average mean absolute error (MAE, 14.8±3.2 ms for HS and 17.6±4.2 ms for TO) and F1-score (0.95±0.03 for HS and 0.92±0.07 for TO). These results outperform previous sEMG-based attempts in cerebral-palsy populations and are comparable with outcomes achieved by reference approaches in control populations. In conclusion, the findings of the study prove the feasibility of neural networks in predicting the two main gait events using surface EMG signals, also in condition of high variability of the signal to predict as in hemiplegic cerebral palsy