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Article ; Online: Invited Commentary: Stapled Diaphragmatic Resection in Cytoreductive Surgery with Intraperitoneal Chemotherapy: A Potential Solution to a Difficult Scenario.

Dal Molin, Marco / Boutros, Cherif

Journal of the American College of Surgeons

2022 Volume 234, Issue 6, Page(s) e7–e8

MeSH term(s)	Antineoplastic Combined Chemotherapy Protocols ; Combined Modality Therapy ; Cytoreduction Surgical Procedures ; Humans ; Hyperthermia, Induced ; Peritoneal Neoplasms/drug therapy ; Peritoneal Neoplasms/surgery ; Retrospective Studies
Language	English
Publishing date	2022-03-10
Publishing country	United States
Document type	Journal Article ; Comment
ZDB-ID	1181115-8
ISSN	1879-1190 ; 1072-7515
ISSN (online)	1879-1190
ISSN	1072-7515
DOI	10.1097/XCS.0000000000000166
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Article ; Online: Exploring Signature‐Based Model Calibration for Streamflow Prediction in Ungauged Basins

Dal Molin, Marco / Kavetski, Dmitri / Albert, Carlo / Fenicia, F.

Water Resources Research. 2023 July, v. 59, no. 7 p.e2022WR031929-

2023

Abstract: ... Bayesian Computation framework. First, we construct a stochastic signature transfer model, based ...

Abstract	Calibration of precipitation‐streamflow models to streamflow signatures is a promising approach for streamflow prediction in ungauged basins (PUB). The estimation of parameter and prediction uncertainty in this case is not trivial because: (a) calibration takes place in the signature domain, while predictions are required in the time domain, and (b) streamflow signatures are estimated (e.g., from donor catchments) rather than “observed” (computed from observed streamflow in the target catchment), and therefore particularly uncertain. This study investigates model calibration using estimated signatures in an Approximate Bayesian Computation framework. First, we construct a stochastic signature transfer model, based on seasonal flow duration curves. Second, we calibrate a precipitation‐streamflow model to the estimated signatures, accounting for their uncertainty. The proposed method is tested in six catchments of the Thur basin, Switzerland. Three data availability scenarios are considered: (a) concomitant scenario, where signatures are “observed,” (b) non‐concomitant scenario, where signatures are transferred from a different time period, and (c) regionalization scenario, where signatures are transferred from (neighboring) donor catchments. In this study, the switch from observed to regionalized signatures increases predictive streamflow uncertainty by 38% and worsens the (deterministic) fit to observations by 17% (in terms of Nash‐Sutcliffe efficiency). Despite this deterioration, posterior predictive uncertainty remains lower than prior predictive uncertainty generated using uniform priors over representative parameter ranges (“uncalibrated” model), which demonstrates the effectiveness of the proposed signature‐based calibration. More importantly, uncertainty is reliably estimated at the ungauged catchments, which represents a key advance in stochastic streamflow PUB.
Keywords	Bayesian theory ; basins ; models ; prediction ; research ; stream flow ; uncertainty ; water ; watersheds ; Switzerland
Language	English
Dates of publication	2023-07
Publishing place	John Wiley & Sons, Ltd
Document type	Article ; Online
Note	JOURNAL ARTICLE
ZDB-ID	5564-5
ISSN	1944-7973 ; 0043-1397
ISSN (online)	1944-7973
ISSN	0043-1397
DOI	10.1029/2022WR031929
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: The use of hypnotic communication in PICC placement: randomized controlled trial study.

Monolo, Davide / Barisone, Michela / Cordio, Giuseppe / Della Sanità, Marco / Airoldi, Chiara / Radrizzani, Danilo / Bassi, Erika / Dal Molin, Alberto / Gallione, Chiara

The American journal of clinical hypnosis

2023 , Page(s) 1–13

Abstract: Every time a patient undergoes a medical procedure, unpredicted personal stress occurs. According to the available literature, the hypnotic communication technique has been used to reduce stress and pain during several major invasive procedures. The ... ...

Abstract	Every time a patient undergoes a medical procedure, unpredicted personal stress occurs. According to the available literature, the hypnotic communication technique has been used to reduce stress and pain during several major invasive procedures. The primary goal of this study was to compare the effectiveness of hypnotic communication combined with buffered Lidocaine, versus buffered Lidocaine alone, on patients' negative emotions while undergoing Peripherally Inserted Central Venous Catheter (PICC) placement. Secondary aims were evaluating patients' pain, satisfaction, and procedure timing and costs. A randomized controlled trial was conducted in an Italian Hospital involving patients who needed a PICC, with any disease or condition, aged over 18, cognitively oriented, able to hear, and willing to give consent. Emotional assessment was performed using the Emotion Thermometer Tool. Sixty-seven subjects were enrolled: 17 refused to participate, and 25 were randomly assigned to each group. The results showed a statistically significant higher decline in the total Emotion Thermometer Tool score for the experimental group using hypnotic communication. A significant mean reduction in anger and depression was also observed, while both groups reported low levels of perceived pain. Hypnotic communication appears to be a successful method for reducing emotional stress during PICC placement. However, further research is needed to determine the relationship between hypnotic communication, emotional distress, and pain perception in patients undergoing central vascular catheter insertion.
Language	English
Publishing date	2023-10-03
Publishing country	United States
Document type	Journal Article
ZDB-ID	219387-5
ISSN	2160-0562 ; 0002-9157
ISSN (online)	2160-0562
ISSN	0002-9157
DOI	10.1080/00029157.2023.2258946
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Article ; Online: Sensitized Triplet-Triplet Annihilation in Nanostructured Polymeric Scintillators Allows for Pulse Shape Discrimination.

Hu, Xueqian / Rigamonti, Davide / Villa, Irene / Pollice, Luca / Mauri, Michele / Molin, Andrea Dal / Tardocchi, Marco / Meinardi, Francesco / Weder, Christoph / Monguzzi, Angelo

Advanced materials (Deerfield Beach, Fla.)

2024 , Page(s) e2400443

Abstract: Scintillating materials emit light when exposed to ionizing radiation or particles and are used for the detection of nuclear threats, medical imaging, high-energy physics, and other usages. For some of these applications, it is vital to distinguish ... ...

Abstract	Scintillating materials emit light when exposed to ionizing radiation or particles and are used for the detection of nuclear threats, medical imaging, high-energy physics, and other usages. For some of these applications, it is vital to distinguish neutrons and charged particles from γ-rays. This is achievable by pulse shape discrimination (PSD), a time-gated technique, which exploits that the scintillation kinetics can depend on the nature of the incident radiation. However, it proves difficult to realize efficient PSD with plastic scintillators, which have several advantages over liquid or crystalline scintillating materials, including mechanical robustness and shapeability. It is shown here that sensitive and rapid PSD is possible with nanostructured polymer scintillators that consist of a solid polymer matrix and liquid nanodomains in which an organic dye capable of triplet-triplet annihilation (TTA) is dissolved. The liquid nature of the nanodomains renders TTA highly efficient so that delayed fluorescence can occur at low energy density. The nanostructured polymer scintillators allow discriminating α particles, neutrons, and γ-rays with a time response that is better than that of commercial scintillators. Exploiting that the liquid nanodomains can facilitate energy transfer processes otherwise difficult to realize in solid polymers, an auxiliary triplet sensitizer is incorporated. This approach further increases the scintillator's sensitivity toward α particles and neutrons and other high-energy processes where localized interactions are involved.
Language	English
Publishing date	2024-04-24
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1474949-X
ISSN	1521-4095 ; 0935-9648
ISSN (online)	1521-4095
ISSN	0935-9648
DOI	10.1002/adma.202400443
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Article ; Online: Il coinvolgimento della popolazione e dei pazienti nella ricerca.

Riva-Rovedda, Federica / Viottini, Elena / Calzamiglia, Marco / Manghera, Fulvio / Manchovas, Giorgia / Dal Molin, Alberto / Campagna, Sara / Busca, Erica / Di Giulio, Paola

Assistenza infermieristica e ricerca : AIR

2023 Volume 42, Issue 3, Page(s) 152–157

Abstract: Patient and public involvement in research. Patient and public involvement (PPI) entails research being carried out 'with' members of the public, rather than 'to', 'about' or 'for' them. The word public can refer to patients, potential patients, carers ...

Title translation	Patient and public involvement in research.
Abstract	. Patient and public involvement in research. Patient and public involvement (PPI) entails research being carried out 'with' members of the public, rather than 'to', 'about' or 'for' them. The word public can refer to patients, potential patients, carers and people who use health and social care services, people from organisations that represent people who use services as well as members of the public. People with lived experience of a particular service or health condition may add value to the research and even influence the research question. The involvement may occurr in any stage of the research process, but preferably since the very start, when the study is designed. To obtain a real involvement and participation some practical tips are suggested. In this paper advantages but also difficulties related to PPI are presented, based both on the literature but also from the authors' experience.
MeSH term(s)	Humans ; Patient Participation ; Caregivers ; Social Support
Language	Italian
Publishing date	2023-09-18
Publishing country	Italy
Document type	English Abstract ; Journal Article
ZDB-ID	1480438-4
ISSN	2038-1778 ; 1120-3803
ISSN (online)	2038-1778
ISSN	1120-3803
DOI	10.1702/4095.40919
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Article: Application of stochastic time dependent parameters to improve the characterization of uncertainty in conceptual hydrological models

Bacci, Marco / Dal Molin, Marco / Fenicia, Fabrizio / Reichert, Peter / Šukys, Jonas

Journal of hydrology. 2022 Sept., v. 612

2022

Abstract: The traditional description of a hydrological system with a deterministic, conceptual model and a lumped output error term does not explicitly consider the main mechanisms of uncertainty generation due to approximate process representation, unobserved ... ...

Abstract	The traditional description of a hydrological system with a deterministic, conceptual model and a lumped output error term does not explicitly consider the main mechanisms of uncertainty generation due to approximate process representation, unobserved variability in processes and influence factors, and input uncertainty. In this study, we test the description of such intrinsic uncertainty in conceptual models by making process rates stochastic through stochastic, time-dependent rate parameters. We analyze the advantages and challenges of this approach by using Bayesian inference to jointly estimate model parameters, parameters of the stochastic processes, and the time series of the stochastic parameters. Numerically, we use a particle filter to infer the stochastic time series and to approximate the marginal likelihood for Markov chain sampling of the constant parameters. Compared to the lumped error formulation, we achieve a more realistic description of uncertainty, as we obtain larger errors in intrinsic states, larger uncertainty during prediction than calibration periods (a feature missing for simple lumped error models), and autocorrelated model outputs. However, the additional degrees of freedom introduced with stochastic parameters can lead to an unintentional compensation for model deficits or input errors. This problem is symptomatic of model structure inadequacy or poor selection of the parameters that are made stochastic, and can be diagnosed through cross-validation and careful posterior analysis. The proposed approach is computationally more demanding and its implementation more challenging than the traditional description of hydrological systems using a deterministic model with a lumped error term. However, its advantages both in providing a more realistic representation of uncertainties and in diagnosing model deficiencies suggest its adoption and further development in future studies.
Keywords	Bayesian theory ; Markov chain ; autocorrelation ; deterministic models ; prediction ; time series analysis ; uncertainty
Language	English
Dates of publication	2022-09
Publishing place	Elsevier B.V.
Document type	Article
ZDB-ID	1473173-3
ISSN	1879-2707 ; 0022-1694
ISSN (online)	1879-2707
ISSN	0022-1694
DOI	10.1016/j.jhydrol.2022.128057
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Article ; Online: Very long-term survival in pancreatic cancer.

Molin, Marco Dal / Wood, Laura D

Aging

2015 Volume 7, Issue 6, Page(s) 360–361

MeSH term(s)	Adenocarcinoma/therapy ; Humans ; Lymphatic Metastasis ; Mutation ; Neoplasm Staging ; Pancreatic Neoplasms/therapy ; Survival Analysis
Language	English
Publishing date	2015-06
Publishing country	United States
Document type	Editorial
ISSN	1945-4589
ISSN (online)	1945-4589
DOI	10.18632/aging.100771
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Gli effetti di un intervento clinico organizzativo sulla valutazione e gestione del dolore postoperatorio in terapia intensiva: studio before-after sull’intensità di dolore e uso dell’analgesia.

Damico, Vincenzo / Murano, Liana / Manzoni, Lorenzo / Riggio, Marco / Dal Molin, Alberto

Professioni infermieristiche

2020 Volume 73, Issue 2, Page(s) 106–115

Abstract: Aims: the aims of this study were to test the efficacy of a training program in order to reduce pain intensity in surgical ICU patients and improving postoperative pain assessment and management.: Methods: longitudinal, before and after experimental ... ...

Title translation	The effects of a clinical therapeutic intervention in pain assessment and management in surgical ICU patients: a before-and-after intervention study on pain intensity and use of analgesia.
Abstract	Aims: the aims of this study were to test the efficacy of a training program in order to reduce pain intensity in surgical ICU patients and improving postoperative pain assessment and management. Methods: longitudinal, before and after experimental study. A total of 261 patients, 126 in Group A (before intervention) and 135 in Group B (after intervention) were included. Data were collected prospectively before and after a training intervention and the implementation of a pain management protocol. Results: a significant reduction was observed in pain intensity scores collected at 6 hours (p=.016) 12 hours (p -.001) and 48 hours (p=.005) postoperatively. Intense pain was most observed in Group A than Group B (RR=1.98; 95% CI= 1.05-3.71, p=.0302). A significantly smaller proportion of patients treated after intervention received morphine (p=.036) and propofol (p=.045). Although there has been no increase in pain assessments, the interval (hours/minutes) between drugs administrations was reduced (Group A 6.35 +1.19 vs Group B 6.21 +0.5) (p=.006). Mechanical ventilation lasted longer in Group A (3.67 days + 6.6 vs 2.44 days + 4.45) (MD = 1.23; 95% CI= -0.1541- 2.6141) (p=.0415). Conclusion: the implementation of the organizational changes on pain prevention in this ICU, using standardized education, led to less pain in surgical ICU patients. However further randomized studies and with larger patient samples are needed.
MeSH term(s)	Analgesia ; Humans ; Intensive Care Units ; Pain Management ; Pain Measurement ; Pain, Postoperative/diagnosis ; Pain, Postoperative/drug therapy ; Pain, Postoperative/prevention & control
Language	Italian
Publishing date	2020-09-30
Publishing country	Italy
Document type	Journal Article
ZDB-ID	1217777-5
ISSN	0033-0205
ISSN	0033-0205
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Article ; Online: Transitare la formazione infermieristica italiana nel periodo post pandemico: le priorità alla luce delle lezioni apprese.

Bassi, Erika / Dal Molin, Alberto / Brugnolli, Anna / Canzan, Federica / Clari, Marco / De Marinis, Maria Grazia / Dimonte, Valerio / Ferri, Paola / Fonda, Federico / Lancia, Loreto / Latina, Roberto / Poli, Zeno Gabriele / Rea, Teresa / Saiani, Luisa / Palese, Alvisa

Assistenza infermieristica e ricerca : AIR

2023 Volume 42, Issue 1, Page(s) 4–11

Abstract: Transitioning Italian nursing education in the post-pandemic period: priorities in the light of lessons learnt.: Introduction: Once back to normalcy, many nursing education activities have been restored without an in-depth analysis of which ... ...

Title translation	Transitioning Italian nursing education in the post-pandemic period: priorities in the light of lessons learnt.
Abstract	. Transitioning Italian nursing education in the post-pandemic period: priorities in the light of lessons learnt. Introduction: Once back to normalcy, many nursing education activities have been restored without an in-depth analysis of which transformations enacted in the pandemic period should be maintained and valued. Aim: To identify priorities to effectively transitioning nursing education in the post-pandemic period. Method: Descriptive qualitative design. A network of nine universities involved 37 faculty members, 28 clinical nurse educators and 65 students/new graduates. Data were collected through semi-structured interviews; the main priorities reported in each university were combined to gain a global view. Results: Nine priorities emerged, including the need to: 1. reflect on distance learning to promote its complementary role to face-to-face teaching; 2. rethinking the rotations of clinical practical training by refocusing their aims, duration, and preferred settings; 3. understanding how to integrate the virtual and the in-presence learning spaces into the educational pathway; 4. continuing with inclusive and sustainable strategies. Considering that nursing education is essential, it is a priority to develop a pandemic education plan capable of guaranteeing its continuity in all circumstances. Conclusions: Nine priorities have emerged all considering the importance of digitalization; the lessons learnt, however, indicate the need to enact an intermediate phase capable of guiding towards the complete transition of the education in the post-pandemic era.
MeSH term(s)	Humans ; Pandemics ; Education, Nursing ; Learning ; Faculty, Nursing ; Clinical Competence
Language	Italian
Publishing date	2023-05-02
Publishing country	Italy
Document type	English Abstract ; Journal Article
ZDB-ID	1480438-4
ISSN	2038-1778 ; 1120-3803
ISSN (online)	2038-1778
ISSN	1120-3803
DOI	10.1702/4023.39981
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Article ; Online: Moving forward the Italian nursing education into the post-pandemic era: findings from a national qualitative research study.

BMC medical education

2023 Volume 23, Issue 1, Page(s) 452

Abstract: Background: During the CoronaVIrus-19 (COVID-19) pandemic, nursing education has been dramatically transformed and shaped according to the restrictions imposed by national rules. Restoring educational activities as delivered in the pre-pandemic era ... ...

Abstract	Background: During the CoronaVIrus-19 (COVID-19) pandemic, nursing education has been dramatically transformed and shaped according to the restrictions imposed by national rules. Restoring educational activities as delivered in the pre-pandemic era without making a critical evaluation of the transformations implemented, may sacrifice the extraordinary learning opportunity that this event has offered. The aim of this study was to identify a set of recommendations that can guide the Italian nursing education to move forward in the post-pandemic era. Methods: A qualitative descriptive design was undertaken in 2022-2023 and reported here according to the COnsolidated criteria for REporting Qualitative research guidelines. A network was established of nine Italian universities offering a bachelor's degree in nursing for a total of 6135 students. A purposeful sample of 37 Faculty Members, 28 Clinical Nurse Educators and 65 Students/new graduates were involved. A data collection was conducted with a form including open-ended questions concerning which transformations in nursing education had been implemented during the pandemic, which of these should be maintained and valued, and what recommendations should address the transition of nursing education in the post-pandemic era. Results: Nine main recommendations embodying 18 specific recommendations have emerged, all transversally influenced by the role of the digital transformation, as a complementary and strengthening strategy for face-to-face teaching. The findings also suggest the need to rethink clinical rotations and their supervision models, to refocus the clinical learning aims, to pay attention towards the student community and its social needs, and to define a pandemic educational plan to be ready for unexpected, but possible, future events. Conclusions: A multidimensional set of recommendations emerged, shaping a strategic map of action, where the main message is the need to rethink the whole nursing education, where digitalization is embodied. Preparing and moving nursing education forward by following the emerged recommendations may promote common standards of education and create the basis on for how to deal with future pandemic/catastrophic events by making ready and prepared the educational systems.
MeSH term(s)	Humans ; Pandemics ; COVID-19/epidemiology ; Education, Nursing ; Learning ; Qualitative Research ; Students, Nursing ; Education, Nursing, Baccalaureate/methods
Language	English
Publishing date	2023-06-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2044473-4
ISSN	1472-6920 ; 1472-6920
ISSN (online)	1472-6920
ISSN	1472-6920
DOI	10.1186/s12909-023-04402-1
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