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  1. Article ; Online: A Golden Ten: A Decade of Open Access Society Publishing.

    Novara, Francesca Rita

    ChemistryOpen

    2021  Volume 11, Issue 1, Page(s) e202100270

    Abstract: Shining On! Happy first 10 years, ChemistryOpen! From little more than a new trend in chemistry publishing, the Open Access model has grown into a major theme in publishing in the last decade. The idea of Open Science has become instrumental for the ... ...

    Abstract Shining On! Happy first 10 years, ChemistryOpen! From little more than a new trend in chemistry publishing, the Open Access model has grown into a major theme in publishing in the last decade. The idea of Open Science has become instrumental for the collaboration among scientists, not only during the pandemic, and ChemistryOpen is ready to start its next decade in a much more open world!
    MeSH term(s) Access to Information ; Open Access Publishing ; Publishing ; Societies
    Language English
    Publishing date 2021-12-31
    Publishing country Germany
    Document type Editorial
    ZDB-ID 2655605-4
    ISSN 2191-1363 ; 2191-1363
    ISSN (online) 2191-1363
    ISSN 2191-1363
    DOI 10.1002/open.202100270
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: 10 Years of Open Access Society Publishing.

    Novara, Francesca Rita

    ChemistryOpen

    2020  Volume 10, Issue 1, Page(s) 4–7

    Abstract: That was ten, this is now! The Editor-in-Chief of ChemistryOpen Francesca Novara discusses ...

    Abstract That was ten, this is now! The Editor-in-Chief of ChemistryOpen Francesca Novara discusses what 2020 meant for the development of open science and ChemistryOpen and what is the landscape in which ChemistryOpen will celebrate its 10th anniversary.
    Language English
    Publishing date 2020-12-30
    Publishing country Germany
    Document type Editorial
    ZDB-ID 2655605-4
    ISSN 2191-1363 ; 2191-1363
    ISSN (online) 2191-1363
    ISSN 2191-1363
    DOI 10.1002/open.202000353
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: A Big Year for Open Access Chemistry Publishing.

    Novara, Francesca Rita

    ChemistryOpen

    2020  Volume 9, Issue 1, Page(s) 4–7

    Abstract: Starting 2020 with an open ... ...

    Abstract Starting 2020 with an open mind
    Language English
    Publishing date 2020-01-08
    Publishing country Germany
    Document type Editorial
    ZDB-ID 2655605-4
    ISSN 2191-1363
    ISSN 2191-1363
    DOI 10.1002/open.201900361
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Coronavirus pandemic (COVID-19) - Clinical trials advice

    Novara, Daniele

    Clinical Research and Trials

    2020  Volume 6, Issue 3

    Keywords covid19
    Publisher Open Access Text Pvt, Ltd.
    Publishing country uk
    Document type Article ; Online
    ISSN 2059-0377
    DOI 10.15761/crt.1000301
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  5. Article ; Online: Re: Kristina F. Galtung, Peter M. Lauritzen, Gunnar Sandbæk, et al. Is a Single Nephrographic Phase Computed Tomography Sufficient for Detecting Urothelial Carcinoma in Patients with Visible Haematuria? A Prospective Paired Noninferiority Comparison. Eur Urol Open Sci 2023;55:1-10.

    Zattoni, Fabio / Dal Moro, Fabrizio / Bednarova, Iliana / Novara, Giacomo

    European urology open science

    2024  Volume 61, Page(s) 52–53

    Language English
    Publishing date 2024-02-08
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 3040546-4
    ISSN 2666-1683 ; 2058-4881
    ISSN (online) 2666-1683
    ISSN 2058-4881
    DOI 10.1016/j.euros.2023.12.009
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: The experience of leaving a valuable object: An investigation of emotional processes related to Hoarding disorder features.

    Pardini, Susanna / Olivetto, Silvia / Fusina, Francesca / Novara, Caterina

    PloS one

    2023  Volume 18, Issue 2, Page(s) e0280933

    Abstract: One of the core features of hoarding is a significant resistance to discarding objects, which is fueled by dysfunctional beliefs and unwarranted negative emotions that hoarders tend to feel when disposing of their possessions. To our knowledge, ... ...

    Abstract One of the core features of hoarding is a significant resistance to discarding objects, which is fueled by dysfunctional beliefs and unwarranted negative emotions that hoarders tend to feel when disposing of their possessions. To our knowledge, longitudinal studies investigating the psychological effects that people who hoard experience after separating from their valuable possessions have yet to be conducted. Our study's principal aim was to explore psychological processes that individuals with high hoarding features (n = 53; 49.1%) and individuals with low hoarding features (n = 55; 50.9%) experienced when they had to separate from a valuable possession. To do this, we evaluated participants' thoughts and feelings at several time points after they had to leave a valuable object at the University laboratory (evaluations were specifically conducted at baseline, during the week, and at the end of the week). To investigate hoarding and anxiety, as well as depressive, obsessive-compulsive, and emotional processes-related features, a mixed-method approach was employed involving self-report questionnaires, ad hoc surveys, and a daily self-monitoring schedule. Our findings showed that compared to participants with low hoarding features, participants with high hoarding traits: 1) scored higher for anxiety sensitivity, distress tolerance, and emotional dysregulation; 2) reported having more negative emotions when leaving their object; 3) had more intrusive object-related beliefs; and 4) experienced a higher frequency of negative emotions as well as a higher level of distress during the week. Both groups experienced more negative emotions in the first part of the week, which decreased as the time at which participants could receive their object back drew closer. Finally, dysfunctional beliefs about leaving a personal object (Saving Cognitions Inventory), sensitivity to anxiety (Anxiety Sensitivity Index-3), and distress tolerance (Distress Tolerance Scale) contributed to the level of discomfort that participants with higher hoarding scores reported when they had to leave their possession. These results highlight the relevance of emotional processes in the hoarding disorder framework as well as underscore the importance of assessing and treating them in clinical settings.
    MeSH term(s) Humans ; Hoarding Disorder ; Emotions/physiology ; Anxiety/psychology ; Anxiety Disorders/psychology ; Cognition ; Hoarding/psychology
    Language English
    Publishing date 2023-02-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0280933
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Stage 5 Chronic Kidney Disease: Epidemiological Analysis in a NorthEastern District of Italy Focusing on Access to Nephrological Care.

    Martino, Francesca K / Fanton, Giulia / Zanetti, Fiammetta / Carta, Mariarosa / Nalesso, Federico / Novara, Giacomo

    Journal of clinical medicine

    2024  Volume 13, Issue 4

    Abstract: Background: We conducted a retrospective epidemiological study about the prevalence of stage 5 chronic kidney disease (CKD) in a high-income district, comparing some demographic characteristics and outcomes of those patients who had nephrological ... ...

    Abstract Background: We conducted a retrospective epidemiological study about the prevalence of stage 5 chronic kidney disease (CKD) in a high-income district, comparing some demographic characteristics and outcomes of those patients who had nephrological consultations and those who had not.
    Results: In a district of 400,000 adult subjects in 2020, 925 patients had an estimated glomerular filtration rate (eGFR) under 15 mL/min and CKD. In the same period, 747 (80.4%) patients were assessed by nephrologists, while 178 (19.6%) were not. Age (88 vs. 75,
    Conclusions: About 20% of ESKD patients did not receive a nephrologist consultation. Older people and women were more likely not to be referred to nephrology clinics. Unfollowed patients with stage 5 CKD had a significantly higher death rate.
    Language English
    Publishing date 2024-02-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13041144
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Design and Year-Long Performance Evaluation of a Pump as Turbine (PAT) Pico-Hydropower Energy Recovery Device in a Water Network

    Novara, Daniele / McNabola, Aonghus

    Water. 2021 Oct. 27, v. 13, no. 21

    2021  

    Abstract: Despite the existence of a vast scientific literature on the subject of hydraulic energy recovery from water pipelines by means of micro- and pico-hydropower using pumps as turbines (PAT), such technology has found a very limited application thus far in ... ...

    Abstract Despite the existence of a vast scientific literature on the subject of hydraulic energy recovery from water pipelines by means of micro- and pico-hydropower using pumps as turbines (PAT), such technology has found a very limited application thus far in practice. In fact, the selection of a pump as turbine for a specific site is a matter of nontrivial trade-offs between a variety of technical and economic parameters and this aspect has not been sufficiently captured and integrated into a reliable, proven, and practical selection methodology available to designers and practitioners. Hence, a multi-objective PAT selection software was developed and utilized to design a 3 kW energy recovery installation at a rural Irish water network. The performance of the scheme was monitored over 13 consecutive months, resulting in the generation of nearly 16,000 kWh of electricity and validating the output from the PAT selection software.
    Keywords computer software ; electricity ; energy recovery ; water ; water power
    Language English
    Dates of publication 2021-1027
    Publishing place Multidisciplinary Digital Publishing Institute
    Document type Article
    ZDB-ID 2521238-2
    ISSN 2073-4441
    ISSN 2073-4441
    DOI 10.3390/w13213014
    Database NAL-Catalogue (AGRICOLA)

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  9. Article: Conservative Management in End-Stage Kidney Disease between the Dialysis Myth and Neglected Evidence-Based Medicine.

    Martino, Francesca K / Novara, Giacomo / Nalesso, Federico / Calò, Lorenzo A

    Journal of clinical medicine

    2023  Volume 13, Issue 1

    Abstract: In the last few decades, the aging of the general population has significantly increased the number of elderly patients with end-stage kidney disease (ESKD) who require renal replacement therapy. ESKD elders are often frail and highly comorbid with ... ...

    Abstract In the last few decades, the aging of the general population has significantly increased the number of elderly patients with end-stage kidney disease (ESKD) who require renal replacement therapy. ESKD elders are often frail and highly comorbid with social issues and seem to not benefit from dialysis in terms of survival and quality of life. Conservative management (CM) could represent a valid treatment option, allowing them to live for months to years with a modest impact on their habits. Despite these possible advantages, CM remains underused due to the myth of dialysis as the only effective treatment option for all ESKD patients regardless of its impact on quality of life and survival. Both CM and dialysis remain valid alternatives in the management of ESKD. However, assessing comorbidities, disabilities, and social context should drive the choice of the best possible treatment for ESKD, while in elderly patients with short life expectancies, referring them to palliative care seems the most reasonable choice.
    Language English
    Publishing date 2023-12-21
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662592-1
    ISSN 2077-0383
    ISSN 2077-0383
    DOI 10.3390/jcm13010041
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Frequency and machine learning predictors of severe depressive symptoms and suicidal ideation among university students.

    Meda, Nicola / Pardini, Susanna / Rigobello, Paolo / Visioli, Francesco / Novara, Caterina

    Epidemiology and psychiatric sciences

    2023  Volume 32, Page(s) e42

    Abstract: Aims: Prospective studies on the mental health of university students highlighted a major concern. Specifically, young adults in academia are affected by markedly worse mental health status than their peers or adults in other vocations. This situation ... ...

    Abstract Aims: Prospective studies on the mental health of university students highlighted a major concern. Specifically, young adults in academia are affected by markedly worse mental health status than their peers or adults in other vocations. This situation predisposes to exacerbated disability-adjusted life-years.
    Methods: We enroled 1,388 students at the baseline, 557 of whom completed follow-up after 6 months, incorporating their demographic information and self-report questionnaires on depressive, anxiety and obsessive-compulsive symptoms. We applied multiple regression modelling to determine associations - at baseline - between demographic factors and self-reported mental health measures and supervised machine learning algorithms to predict the risk of poorer mental health at follow-up, by leveraging the demographic and clinical information collected at baseline.
    Results: Approximately one out of five students reported severe depressive symptoms and/or suicidal ideation. An association of economic worry with depression was evidenced both at baseline (when high-frequency worry odds ratio = 3.11 [1.88-5.15]) and during follow-up. The random forest algorithm exhibited high accuracy in predicting the students who maintained well-being (balanced accuracy = 0.85) or absence of suicidal ideation but low accuracy for those whose symptoms worsened (balanced accuracy = 0.49). The most important features used for prediction were the cognitive and somatic symptoms of depression. However, while the negative predictive value of worsened symptoms after 6 months of enrolment was 0.89, the positive predictive value is basically null.
    Conclusions: Students' severe mental health problems reached worrying levels, and demographic factors were poor predictors of mental health outcomes. Further research including people with lived experience will be crucial to better assess students' mental health needs and improve the predictive outcome for those most at risk of worsening symptoms.
    MeSH term(s) Young Adult ; Humans ; Suicidal Ideation ; Depression/diagnosis ; Depression/epidemiology ; Depression/psychology ; Prospective Studies ; Universities ; Students/psychology ; Machine Learning
    Language English
    Publishing date 2023-07-07
    Publishing country England
    Document type Journal Article
    ZDB-ID 2607964-1
    ISSN 2045-7979 ; 2045-7960
    ISSN (online) 2045-7979
    ISSN 2045-7960
    DOI 10.1017/S2045796023000550
    Database MEDical Literature Analysis and Retrieval System OnLINE

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