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Article: Editorial: New strategies to overcome platinum resistance in ovarian cancer.

Wei, Jian-Jun / Martinelli, Fabio

2024 Volume 14, Page(s) 1390760

Language	English
Publishing date	2024-03-14
Publishing country	Switzerland
Document type	Editorial
ZDB-ID	2649216-7
ISSN	2234-943X
ISSN	2234-943X
DOI	10.3389/fonc.2024.1390760
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Reducing energy demand by the combined application of advanced control strategies in a full scale WWTP.

Bertanza, G / Baroni, P / Garzetti, S / Martinelli, F

Water science and technology : a journal of the International Association on Water Pollution Research

2021 Volume 83, Issue 8, Page(s) 1813–1823

Abstract: Two advanced control strategies were applied in the secondary and tertiary stages, respectively, of a full scale wastewater treatment plant (WWTP). This has a nominal capacity of 330,000 population equivalent (PE), a complex configuration (having been ... ...

Abstract	Two advanced control strategies were applied in the secondary and tertiary stages, respectively, of a full scale wastewater treatment plant (WWTP). This has a nominal capacity of 330,000 population equivalent (PE), a complex configuration (having been upgraded several times through the years), and it faces significant seasonal load fluctuations (being located in a touristic area, in Northern Italy). The lifting station of the tertiary treatments (devoted to phosphorus precipitation and UV disinfection) was optimized by adjusting the pumped flowrate, depending on influent phosphorus concentration. A preliminary simulation showed that a 15% reduction of pumping energy could be achieved. This result was confirmed by field measurements. Moreover, a fuzzy control system was designed and applied to one of the six parallel nitrification reactors, yielding a reduction of more than 25% of the power requirement for aeration. Overall, the combined application of the two controllers led to a 7% reduction of the total energy consumption of the plant. This result is particularly promising given that the fuzzy controller was applied only to one of six biological reactors.
MeSH term(s)	Italy ; Nitrification ; Sewage ; Waste Disposal, Fluid ; Waste Water ; Water Purification
Chemical Substances	Sewage ; Waste Water
Language	English
Publishing date	2021-04-27
Publishing country	England
Document type	Journal Article
ZDB-ID	764273-8
ISSN	1996-9732 ; 0273-1223
ISSN (online)	1996-9732
ISSN	0273-1223
DOI	10.2166/wst.2021.109
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Article ; Online: Three-dimensional printed models for surgery planning of post-traumatic stiff elbow: current concepts.

Martinelli, Federico / Rota, Clelia / Pederzini, Luigi Adriano / Celli, Andrea

Journal of ISAKOS : joint disorders & orthopaedic sports medicine

2024

Abstract: The post-traumatic stiff elbow is a challenge for the surgeon, requiring expertise for the treatment choice and accurate planning. Stiffness can result from traumatic injury involving the periarticular soft tissues and the joint articular surfaces. In ... ...

Abstract	The post-traumatic stiff elbow is a challenge for the surgeon, requiring expertise for the treatment choice and accurate planning. Stiffness can result from traumatic injury involving the periarticular soft tissues and the joint articular surfaces. In this article we want to assess the impact of three-dimensional printed models in selecting the appropriate surgical strategy for this pathology. Six cases of increasing complexity regarding post-traumatic stiff elbow were submitted to four expert elbow surgeons who had the possibility to evaluate videos and reports of clinical examination, plain radiograms and CT with 3D reconstruction for each case. After a first treatment proposition given by the experts for each patient, a three-dimensional printed model of each elbow based on the CT was provided to the surgeons, asking them to evaluate again all the cases having the possibility to assess also the 3D models. In the four most complex cases all surgeons found more beneficial the use of three-dimensional representation for treatment planning and rate the risk of complications than the sole CT imaging with 3D reconstruction and many of them changed surgical strategy after analysing the model. 3D printing technology is a useful tool in surgery planning for treating complex cases of post traumatic elbow stiffness, especially in presence of joint deformity. LEVEL OF EVIDENCE: IV.
Language	English
Publishing date	2024-04-04
Publishing country	England
Document type	Journal Article
ISSN	2059-7762
ISSN (online)	2059-7762
DOI	10.1016/j.jisako.2024.03.013
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Article ; Online: Alzheimer's Disease Evaluation Through Visual Explainability by Means of Convolutional Neural Networks.

Mercaldo, Francesco / Di Giammarco, Marcello / Ravelli, Fabrizio / Martinelli, Fabio / Santone, Antonella / Cesarelli, Mario

International journal of neural systems

2024 Volume 34, Issue 2, Page(s) 2450007

Abstract: Background and ... ...

Abstract	Background and Objective
MeSH term(s)	Humans ; Male ; Female ; Alzheimer Disease/diagnostic imaging ; Alzheimer Disease/pathology ; Neural Networks, Computer ; Magnetic Resonance Imaging/methods ; Algorithms ; Neuroimaging/methods
Language	English
Publishing date	2024-01-12
Publishing country	Singapore
Document type	Journal Article
ISSN	1793-6462
ISSN (online)	1793-6462
DOI	10.1142/S0129065724500072
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Article ; Online: Endovenous laser ablation (EVLA) for vein insufficiency: two-year results of a multicenter experience with 1940-nm laser diode and a novel optical fiber.

Palombi, Luca / Morelli, Monica / Bruzzese, Dario / Martinelli, Fabio / Quarto, Gennaro / Bianchi, Pier Giovanni

Lasers in medical science

2024 Volume 39, Issue 1, Page(s) 61

Abstract: Thermoablative techniques currently represent, in accordance with international guidelines, the most used methods in the treatment of varicose veins. From some years, lasers with a wavelength greater than 1900 nm have been introduced for EndoVenous Laser ...

Abstract	Thermoablative techniques currently represent, in accordance with international guidelines, the most used methods in the treatment of varicose veins. From some years, lasers with a wavelength greater than 1900 nm have been introduced for EndoVenous Laser Ablation (EVLA) treatment. However, currently, few clinical studies regarding this new technology are reported in the medical literature. The aim of this study is to evaluate outcomes at a 2-year follow-up (mid-term) of EVLA of varicose veins of the lower limbs using a 1940-nm laser and a new cylindric monoring fiber. This clinical trial was conducted as a multicenter, retrospective, non-randomized, non-blind clinical study. Ninety-three patients were enrolled for a total of one hundred consecutive procedures performed in the period between January 2021 and May 2021 in two Italian facilities. The primary efficacy endpoint was the occlusion rate of the treated vein immediately after surgery and at the follow-up (24 months). The secondary efficacy endpoint was the evaluation of the parameters of energy delivered during the procedure (power and linear energy density or LEED). The primary safety endpoints were the incidence of pain (1 day and 7 days after surgery) and the rate of intraoperative and postoperative complications. The precepted pain was evaluated with the visual analog scale (VAS). The secondary safety endpoint was the evaluation of the improvement of the patient's symptoms related to venous disease. This evaluation was conducted by recording the changes in clinical, etiologic, anatomic, and pathophysiologic (CEAP) classification. All procedures were carried out regularly on an outpatient basis, and no intraoperative complications occurred. The occlusion rate of the target veins was 100% at 7- and 30-day controls. At follow-up controls, performed at 6 months, 1 and 2 years carried out showed an occlusion rate respectively of 99% (97 to 100), 96.9% (93.6 to 100), and 95.9% (92.1 to 99.9). The secondary efficacy endpoint was the evaluation of the parameters of energy delivered during the procedure (power watt and linear energy density): As regards the power parameters, we report an average of watts of 4.5 ± 0.8 [2.5 to 6] and linear energy density delivered (LEED) of 41.2 ± 8.6 [(21.1 to 66.7)]. The pain reported (with VAS scale) on 1 day of the procedure was 2 [1; 3] and 1 [0 to 4] at 7 days. All patients showed improved symptoms related to venous disease, with reduction of the individual CEAP class to which they belong. This study demonstrates that EndoVascular Laser Ablation (EVLA) treatment of varicose veins with a wavelength > 1900 nm is safe and effective. The overall occlusion rate was high. The reported results suggest that using lower parameters, such as output power (watts) and LEED (linear energy density), do not reduce the success rate of the treatment when used over 35 J/cm.
MeSH term(s)	Humans ; Optical Fibers ; Retrospective Studies ; Laser Therapy ; Varicose Veins/surgery ; Pain
Language	English
Publishing date	2024-02-15
Publishing country	England
Document type	Clinical Trial ; Multicenter Study ; Journal Article
ZDB-ID	632808-8
ISSN	1435-604X ; 0268-8921
ISSN (online)	1435-604X
ISSN	0268-8921
DOI	10.1007/s10103-024-04000-7
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Article ; Online: "Pelvic neuro-visualization: an anatomical illustration of the autonomic pelvic nervous network in gynecologic surgery".

Ditto, Antonino / Ferla, Stefano / Martinelli, Fabio / Bogani, Giorgio / Maggiore, Umberto Leone Roberti / Raspagliesi, Francesco

Journal of minimally invasive gynecology

2024

Abstract: Objective: During radical pelvic surgeries fibers of the autonomic pelvic nervous network can be accidentally damaged leading to significant visceral sequelae, which dramatically affect women's quality of life because of urinary, anorectal, and sexual ... ...

Abstract	Objective: During radical pelvic surgeries fibers of the autonomic pelvic nervous network can be accidentally damaged leading to significant visceral sequelae, which dramatically affect women's quality of life because of urinary, anorectal, and sexual postoperative dysfunctions. Design: Narrated laparoscopic video footage for identifying, dissecting, and preserving the autonomic nerve bundles during pelvic surgery. Setting: Tertiary level hospital - "IRCCS Istituto Nazionale dei Tumori", Milano, Italy. Interventions: Visceral pelvic innervation is established by the superior hypogastric plexus(SHP) located anteriorly to the aortic bifurcation and the median sacral vessels and carries mostly sympathetic fibers. SHP divides in front of the sacrum into the right and left HN. At the level of the paracervix, the HNs join the parasympathetic PSNs coming out from sacral root S2, S3, S4 to form the IHP. Conclusion: Nerve-sparing surgery reduces bowel-, bladder- and sexual- dysfunction without decreasing surgical efficacy.
Language	English
Publishing date	2024-04-18
Publishing country	United States
Document type	Journal Article
ZDB-ID	2186934-0
ISSN	1553-4669 ; 1553-4650
ISSN (online)	1553-4669
ISSN	1553-4650
DOI	10.1016/j.jmig.2024.04.014
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Zs.A 4205: Show issues

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Article ; Online: Explainable Convolutional Neural Networks for Brain Cancer Detection and Localisation.

Mercaldo, Francesco / Brunese, Luca / Martinelli, Fabio / Santone, Antonella / Cesarelli, Mario

Sensors (Basel, Switzerland)

2023 Volume 23, Issue 17

Abstract: Brain cancer is widely recognised as one of the most aggressive types of tumors. In fact, approximately 70% of patients diagnosed with this malignant cancer do not survive. In this paper, we propose a method aimed to detect and localise brain cancer, ... ...

Abstract	Brain cancer is widely recognised as one of the most aggressive types of tumors. In fact, approximately 70% of patients diagnosed with this malignant cancer do not survive. In this paper, we propose a method aimed to detect and localise brain cancer, starting from the analysis of magnetic resonance images. The proposed method exploits deep learning, in particular convolutional neural networks and class activation mapping, in order to provide explainability by highlighting the areas of the medical image related to brain cancer (from the model point of view). We evaluate the proposed method with 3000 magnetic resonances using a free available dataset. The results we obtained are encouraging. We reach an accuracy ranging from 97.83% to 99.67% in brain cancer detection by exploiting four different models: VGG16, ResNet50, Alex_Net, and MobileNet, thus showing the effectiveness of the proposed method.
MeSH term(s)	Humans ; Brain ; Brain Neoplasms/diagnostic imaging ; Aggression ; Neural Networks, Computer ; Records
Language	English
Publishing date	2023-09-02
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23177614
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Article ; Online: Water Meter Reading for Smart Grid Monitoring.

Martinelli, Fabio / Mercaldo, Francesco / Santone, Antonella

Sensors (Basel, Switzerland)

2022 Volume 23, Issue 1

Abstract: Many tasks that require a large workforce are automated. In many areas of the world, the consumption of utilities, such as electricity, gas and water, is monitored by meters that need to be read by humans. The reading of such meters requires the presence ...

Abstract	Many tasks that require a large workforce are automated. In many areas of the world, the consumption of utilities, such as electricity, gas and water, is monitored by meters that need to be read by humans. The reading of such meters requires the presence of an employee or a representative of the utility provider. Automatic meter reading is crucial in the implementation of smart grids. For this reason, with the aim to boost the implementation of the smart grid paradigm, in this paper, we propose a method aimed to automatically read digits from a dial meter. In detail, the proposed method aims to localise the dial meter from an image, to detect the digits and to classify the digits. Deep learning is exploited, and, in particular, the YOLOv5s model is considered for the localisation of digits and for their recognition. An experimental real-world case study is presented to confirm the effectiveness of the proposed method for automatic digit localisation recognition from dial meters.
MeSH term(s)	Humans ; Computer Systems ; Electricity
Language	English
Publishing date	2022-12-21
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2052857-7
ISSN	1424-8220 ; 1424-8220
ISSN (online)	1424-8220
ISSN	1424-8220
DOI	10.3390/s23010075
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Article ; Online: Change in practice in gynecologic oncology during the COVID-19 pandemic: a social media survey.

Martinelli, Fabio / Garbi, Annalisa

International journal of gynecological cancer : official journal of the International Gynecological Cancer Society

2020 Volume 30, Issue 8, Page(s) 1101–1107

Abstract: Objective: COVID-19 has affected gynecologic cancer management. The goal of this survey was to evaluate changes that occurred in gynecologic oncology practice during the COVID-19 pandemic.: Methods: A anonymous survey consisting of 33 questions ( ... ...

Abstract	Objective: COVID-19 has affected gynecologic cancer management. The goal of this survey was to evaluate changes that occurred in gynecologic oncology practice during the COVID-19 pandemic. Methods: A anonymous survey consisting of 33 questions (https://sites.google.com/view/gyncacovidfmartinelli) regarding interaction between gynecologic cancers and COVID-19 was distributed online via social media from April 9 to April 30, 2020. Basic descriptive statistics were applied. Analytics of survey-diffusion and generated-interest (visualizations, engagement rates, response rate) were analyzed. Results: The survey received 20 836 visualizations, generating an average engagement rates by reach of 4.7%. The response rate was 30%. A total of 86% of respondents completed the survey, for a total of 187 physicians surveyed across 49 countries. The majority (143/187; 76%) were gynecologic oncologists, and most were ≤50 years old (146/187; 78%). A total of 49.7% (93/187) were facing the early phase of the COVID-19 pandemic, while 26.7% (50/187) and 23.5% (44/187) were in the peak and plateau phases, respectively. For 97.3% (182/187) of respondents COVID-19 affected or changed their respective clinical practice. Between 16% (27/165) (before surgery) and 25% (26/102) (before medical treatment) did not perform any tests to rule out COVID-19 infection among patients. The majority of respondents did not alter indications of treatment if patients were COVID-19-negative, while treatments were generally postponed in COVID-19-positive patients. Treatments were considered priority for: early stage high-risk uterine cancers (85/187; 45%), newly diagnosed epithelial ovarian cancer (76/187; 41%), and locally advanced cervical cancer (76/187; 41%). Treatment of early stage low-grade endometrioid endometrial cancer was deferred according to 49% (91/187) of respondents, with hormonal treatment as the option of therapy (31%; 56/178). A total of 77% (136/177) of respondents reported no changes in (surgical) treatment for early stage cervical cancer in COVID-19-negative patients, while treatment was postponed by 54% (96/177) of respondent, if the patient tested COVID-19-positive. Neoadjuvant chemotherapy for advanced ovarian cancers was considered by over one-third of respondents as well as hypofractionation of radiation treatment for locally advanced cervical cancers. Conclusion: COVID-19 affected the treatment of gynecologic cancers patients, both in terms of prioritization and identification of strategies to reduce hospital access and length of stay. Social media is a reliable tool to perform fast-tracking, worldwide surveys.
MeSH term(s)	Adult ; Attitude of Health Personnel ; Betacoronavirus ; COVID-19 ; Combined Modality Therapy ; Coronavirus Infections/prevention & control ; Female ; Genital Neoplasms, Female/diagnosis ; Genital Neoplasms, Female/therapy ; Global Health ; Gynecology/methods ; Gynecology/trends ; Health Care Rationing/trends ; Health Care Surveys ; Health Services Accessibility/trends ; Humans ; Infection Control/methods ; Infection Control/trends ; Male ; Medical Oncology/methods ; Medical Oncology/trends ; Middle Aged ; Pandemics/prevention & control ; Pneumonia, Viral/prevention & control ; Practice Patterns, Physicians'/trends ; SARS-CoV-2 ; Social Media
Keywords	covid19
Language	English
Publishing date	2020-06-07
Publishing country	England
Document type	Journal Article
ZDB-ID	1070385-8
ISSN	1525-1438 ; 1048-891X
ISSN (online)	1525-1438
ISSN	1048-891X
DOI	10.1136/ijgc-2020-001585
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Book ; Online: MLPGradientFlow

Brea, Johanni / Martinelli, Flavio / Şimşek, Berfin / Gerstner, Wulfram

going with the flow of multilayer perceptrons (and finding minima fast and accurately)

2023

Abstract: MLPGradientFlow is a software package to solve numerically the gradient flow differential equation $\dot \theta = -\nabla \mathcal L(\theta; \mathcal D)$, where $\theta$ are the parameters of a multi-layer perceptron, $\mathcal D$ is some data set, and $\ ...

Abstract	MLPGradientFlow is a software package to solve numerically the gradient flow differential equation $\dot \theta = -\nabla \mathcal L(\theta; \mathcal D)$, where $\theta$ are the parameters of a multi-layer perceptron, $\mathcal D$ is some data set, and $\nabla \mathcal L$ is the gradient of a loss function. We show numerically that adaptive first- or higher-order integration methods based on Runge-Kutta schemes have better accuracy and convergence speed than gradient descent with the Adam optimizer. However, we find Newton's method and approximations like BFGS preferable to find fixed points (local and global minima of $\mathcal L$) efficiently and accurately. For small networks and data sets, gradients are usually computed faster than in pytorch and Hessian are computed at least $5\times$ faster. Additionally, the package features an integrator for a teacher-student setup with bias-free, two-layer networks trained with standard Gaussian input in the limit of infinite data. The code is accessible at https://github.com/jbrea/MLPGradientFlow.jl.
Keywords	Computer Science - Machine Learning
Publishing date	2023-01-25
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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