A comparative study of models for the incident duration prediction

This study is intended to investigate the reliability of different incident duration prediction models for real time application with a view to contribute to the development of a decision aid tool within the incident management process context where rough incident duration estimates are currently provided by traffic operators or police on the basis of their skill and past experience. Five predictive models, ranging from parametric models, to non-parametric and neural network models, have been considered and compared evaluating their capacity of predicting incident duration. The data set used in this study for developing and testing the prediction models includes 237 incident events and contains information about the incident characteristics, the personnel and equipment involved to clear the incident and the related response times, including the beginning and ending time of the incident. Testing results have demonstrated that the proposed models are able to achieve good performance in terms of prediction accuracy especially for incidents with duration less than 90 min. This finding is partly due to the fact that the dataset has a relatively small number of severe incidents. Furthermore a linear combination of predictions from models was applied with negligible gain in accuracy. A deeper investigation is suggested for a future work to evaluate potential improvements from the application of other combination methods. Moreover each proposed model is able to reach best performance for incidents within a particular duration range. Thus a preliminary incident classification scheme could be more convenient in order to select the more appropriate prediction model

multimodal choice model for e mobility scenarios

Abstract The paper focuses on the definition, calibration and testing of a simulation model that is able to represent multimodal choice behaviours for electric vehicles. Taking into account the interchange between public transport and electric private mobility, the model estimates the parking demand at the Park & Ride sites equipped with charging stations. The model is based on a data-driven approach, in which mainly Floating Car Data and open data of public transport have derived the explanatory variables. Specifically, a machine learning method (Random Forest) has been used to calibrate and test the model in the real case of the metropolitan area of Rome (Italy). We first perform a stability analysis, letting the parameters of the model vary. We then carry out a sensitivity analysis on the variables that can affect the user propensity to adopt the Park & Ride. Finally, we profile and test an incentive policy to boost the choice of Park & Ride. Results suggest that the model succeeds in simulating Park & Ride by electric vehicles and, therefore, it can be extremely valuable for planning financial support to the multimodal travel choice and forecasting vehicle-to-grid scenarios

Advanced cellular models for rare disease study: exploring neural, muscle and skeletal organoids

Organoids are self-organized, three-dimensional structures derived from stem cells that can mimic the structure and physiology of human organs. Patient-specific induced pluripotent stem cells (iPSCs) and 3D organoid model systems allow cells to be analyzed in a controlled environment to simulate the characteristics of a given disease by modeling the underlying pathophysiology. The recent development of 3D cell models has offered the scientific community an exceptionally valuable tool in the study of rare diseases, overcoming the limited availability of biological samples and the limitations of animal models. This review provides an overview of iPSC models and genetic engineering techniques used to develop organoids. In particular, some of the models applied to the study of rare neuronal, muscular and skeletal diseases are described. Furthermore, the limitations and potential of developing new therapeutic approaches are discussed

Endometrial scratch injury for women with one or more previous failed embryo transfers: a systematic review and meta-analysis of randomized controlled trials

OBJECTIVE: To investigate endometrial scratch injury (ESI) as an intervention to improve IVF outcome in women with a history of ET failure. DESIGN: Systematic review and meta-analysis. SETTING: Not applicable. PATIENT(S): Infertile women undergoing IVF after one or more failed ET. INTERVENTION(S): We included all randomized controlled trials of women undergoing IVF after one or more failed ET, where the intervention group received ESI and controls received placebo or no intervention. Pooled results were expressed as relative risk (RR) with a 95% confidence interval (95% CI). The review protocol was registered in PROSPERO before starting the data extraction (CRD42017082777). MAIN OUTCOME MEASURE(S): Live birth rate (LBR), clinical pregnancy rate (PR), multiple PR, miscarriage rate, ectopic pregnancy (EP) PR. RESULT(S): Ten studies were included (1,468 participants). The intervention group showed higher LBR (RR 1.38, 95% CI 1.05-1.80) and clinical PR (RR 1.34, 95% CI 1.07-1.67) in comparison to controls, without difference in terms of multiple PR, miscarriage rate, and EP PR. Double luteal ESI with pipelle was associated with the greatest effect on LBR (RR 1.54, 95% CI 1.10-2.16) and clinical PR (RR 1.30, 95% CI 1.03-1.65). The ESI was beneficial for patients with two or more previous ET failure, but not for women with a single previous failed ET. No effect was found in women undergoing frozen-thawed ET cycles. CONCLUSION(S): The ESI may improve IVF success in patients with two or more previous ET failures undergoing fresh ET. The ESI timing and technique seem to play a crucial role in determining its effect on embryo implantatio

Polycystic Ovary Syndrome: Implication for Drug Metabolism on Assisted Reproductive Techniques—A Literature Review

Polycystic ovary syndrome (PCOS) affects 6–10% of women and could be considered one of the most common endocrine alterations in women of reproductive age. The syndrome is characterized by several hormonal and metabolic alterations, including insulin resistance and hyperandrogenism, which play a severe detrimental role in the patient’s fertility. We aimed to offer an overview about drug metabolism in the PCOS population. Nevertheless, we did not find any study that directly compared drug metabolism between PCOS and healthy women. We therefore decided to summarize briefly how hormonal and insulin sensitizer drugs act differently in healthy and PCOS women, who show altered steroidogenesis by theca cells and metabolic imbalance, focusing especially on assisted reproductive techniques. To date, data about drug metabolism in the PCOS population appears to be extremely limited. This important gap could have significant implications for therapeutic approaches and future perspectives: the dosage of drugs commonly used for the treatment of PCOS women should be tailored according to each patient’s characteristics; we should implement new clinical trials in order to identify the best pharmacologic strategy for PCOS patients undergoing in vitro fertilization (IVF); it would be advisable to create an international expert panel to investigate the drug metabolism in the PCOS population

How to Achieve High-Quality Oocytes? The Key Role of Myo-Inositol and Melatonin

Assisted reproductive technologies (ART) have experienced growing interest from infertile patients seeking to become pregnant. The quality of oocytes plays a pivotal role in determining ART outcomes. Although many authors have studied how supplementation therapy may affect this important parameter for both in vivo and in vitro models, data are not yet robust enough to support firm conclusions. Regarding this last point, in this review our objective has been to evaluate the state of the art regarding supplementation with melatonin and myo-inositol in order to improve oocyte quality during ART. On the one hand, the antioxidant effect of melatonin is well known as being useful during ovulation and oocyte incubation, two occasions with a high level of oxidative stress. On the other hand, myo-inositol is important in cellular structure and in cellular signaling pathways. Our analysis suggests that the use of these two molecules may significantly improve the quality of oocytes and the quality of embryos: melatonin seems to raise the fertilization rate, and myo-inositol improves the pregnancy rate, although all published studies do not fully agree with these conclusions. However, previous studies have demonstrated that cotreatment improves these results compared with melatonin alone or myo-inositol alone. We recommend that further studies be performed in order to confirm these positive outcomes in routine ART treatment

Hiding in plain sight: observing planet-starspot crossings with the James Webb Space Telescope

Transiting exoplanets orbiting active stars frequently occult starspots and faculae on the visible stellar disc. Such occultations are often rejected from spectrophotometric transits, as it is assumed they do not contain relevant information for the study of exoplanet atmopsheres. However, they can provide useful constraints to retrieve the temperature of active features and their effect on transmission spectra. We analyse the capabilities of the James Webb Space Telescope in the determination of the spectra of occulted starspots, despite its lack of optical wavelength instruments on board. Focusing on K and M spectral types, we simulate starspots with different temperatures and in different locations of the stellar disc, and find that starspot temperatures can be determined to within a few hundred kelvins using NIRSpec/Prism and the proposed NIRCam/F150W2$+$F322W2's broad wavelength capabilities. Our results are particularly promising in the case of K and M dwarfs of mag$_K \leq 12.5$ with large temperature contrasts

Do miRNAs Play a Role in Fetal Growth Restriction? A Fresh Look to a Busy Corner

Placenta is the crucial organ for embryo and fetus development and plays a critical role in the development of fetal growth restriction (FGR). There are increasing evidences on the role of microRNAs (miRNAs) in a variety of pregnancy-related complications such as preeclampsia and FGR. More than 1880 miRNAs have been reported in humans and most of them are expressed in placenta. In this paper, we aimed to review the current evidence about the topic. According to retrieved data, controversial results about placental expression of miRNAs could be due (at least in part) to the different experimental methods used by different groups. Despite the fact that several authors have demonstrated a relatively easy and feasible detection of some miRNAs in maternal whole peripheral blood, costs of these tests should be reduced in order to increase cohorts and have stronger evidence. In this regard, we take the opportunity to solicit future studies on large cohort and adequate statistical power, in order to identify a panel of biomarkers on maternal peripheral blood for early diagnosis of FGR

Hysteroscopic Morcellation of Submucous Myomas: A Systematic Review

Hysteroscopic surgery is the actual gold standard treatment for several types of intrauterine pathologies, including submucous myomas (SMs). To date, the availability of Hysteroscopic Tissue Removal systems (HTRs) opened a new scenario. Based on these elements, the aim of this article is to review the available evidence about HTRs for the management of SMs. We included 8 papers (3 prospective studies and 5 retrospective studies). A total of 283 women underwent intrauterine morcellation of SM: 208 were treated using MyoSure and 75 using Truclear 8.0. Only 3 articles reported data about procedures performed in outpatient/office setting. Only half of the included studies included type 2 SMs. HTRs significantly reduced operative time compared to traditional resectoscopy in some studies, whereas others did not find significant differences. Despite the availability of few randomized controlled trials and the cost of the instrument, according to our systematic review, the use of HTRs seems to be a feasible surgical option in terms of operative time and complications. Nevertheless, the type of SM still remains the biggest challenge: type 0 and 1 SMs are easier to manage with respect to type 2, reflecting what already is known for the “classic” hysteroscopic myomectomy