9 results on '"FOTIA L"'
Search Results
2. Using Artificial Neural Networks to Model Initial Recruitment of Mediterranean Pine Forests
- Author
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Braubach, L, Jander, K, Bădică, C, Fotia, L, Lucas-Borja, M, Rosaci, D, Sarne, G, Zema, D, Fotia L., Lucas-Borja M. E., Rosaci D., Sarne G. M. L., Zema D. A., Braubach, L, Jander, K, Bădică, C, Fotia, L, Lucas-Borja, M, Rosaci, D, Sarne, G, Zema, D, Fotia L., Lucas-Borja M. E., Rosaci D., Sarne G. M. L., and Zema D. A.
- Abstract
Artificial Neural Networks (NNs) have been recognized as a powerful tool for automatically learning complex relationships in data. In this paper, we propose to apply such a tool for modeling forest regeneration, a possibility not yet investigated in the literature. In order to evaluate the capability of NNs to simulate initial recruitment of pine species in Mediterranean forests, a feed-forward multi-layer neural network has been applied to seed germination and seedling survival of four pine species under three soil conditions, with or without seed protection, in Castilla La Mancha (Central-Eastern Spain). The experimental campaign has shown good performance in predicting the two pine initial recruitment stages. The proposed approach may help to predict the success of natural regeneration in Mediterranean pine forests under different basal areas and management strategies.
- Published
- 2023
3. Formation of Reliable Composite Teams for Collaborative Environmental Surveillance of Ecosystems
- Author
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Fotia, L, Messina, F, Rosaci, D, Sarnè, GML, Fortino, G, Sarne, G, Savaglio, C, Fortino G., Fotia L., Messina F., Rosaci D., Sarne G. M. L., Savaglio C., Fotia, L, Messina, F, Rosaci, D, Sarnè, GML, Fortino, G, Sarne, G, Savaglio, C, Fortino G., Fotia L., Messina F., Rosaci D., Sarne G. M. L., and Savaglio C.
- Abstract
The Internet of Things (IoT) promises to change many aspects of our daily lives thanks to the opportunity of interconnecting a massive numbers of smart objects with increasing computational, storage, communication, and power capabilities, in such a way making “smart” and “interactive” most of the world around us. In other words, smart objects and humans will be involved together in pervasive, proactive, and collaborative activities to orchestrate and execute increasingly complex and sophisticated tasks. In such a scenario, thanks also to a greater ecological awareness of people, a promising field of application for IoT technology is the monitoring of natural habitats in automatic or semiautomatic mode. A potentially effective and efficient solution is to form composite teams joining human operators and IoT devices. In such teams, not only the kind of team members will be different, i.e., humans and IoT devices, but also the IoT devices will be heterogeneous among them in terms of characteristics and performance. However, a basic requirement for a good team is the existence of high levels of mutual trust among its members. In other words, for the formation of a good team, it becomes of primary relevance to know and adequately represent the trustworthiness of the individual team members. To this end, our contribution can be summarized as (i) introducing a trust measure that takes into account both the reputation of devices and the accuracy of their measures; (ii) designing a framework that based on the proposed trust measure forms temporary teams for environmental ecosystems made of humans and IoT devices; and (iii) testing the proposed framework by simulating a collaborative environmental monitoring activity. The simulation results confirmed the advantages of the proposed approach in terms of performance and appreciation of the composite temporary teams that have been formed in this way.
- Published
- 2023
4. A Social Edge-Based IoT Framework Using Reputation-Based Clustering for Enhancing Competitiveness
- Author
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Fortino, G, Fotia, L, Messina, F, Rosaci, D, Sarne, G, Fortino G., Fotia L., Messina F., Rosaci D., Sarne G. M. L., Fortino, G, Fotia, L, Messina, F, Rosaci, D, Sarne, G, Fortino G., Fotia L., Messina F., Rosaci D., and Sarne G. M. L.
- Abstract
The introduction of the IoT technology and its pervasive penetration in our daily life implies that IoT smart objects can often participate in social events, and in this case their paradigm of interaction is commonly denoted as social IoT (SIoT). To make reliable transactions into a SIoT scenario, in this article, we introduce a multi-agent SIoT architecture, which integrates a reputation system based on a clustering of the SOs. In our framework, when a SO looks for a resource and detects a reliable partner having that resource, then the two SOs can interact to make a transaction, and at the end of the transaction each of them provides a feedback about the partner to the local reputation system of the edge server, to update the SOs' reputation scores. Moreover, each edge server sends these reputation scores to the cloud, which updates the associated reputation values of the SOs, deriving from experiences coming from all the edge domains. This architecture provides a given object, moving from an edge domain to another one, with the possibility to have an updated value of its reputation, represented by the value stored in the cloud. We have validated our approach by a campaign of simulations, whose results seem particularly promising.
- Published
- 2023
5. Detecting Collusive Agents by Trust Measures in Social IoT Environments: A Novel Reputation Model
- Author
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Fotia, L, Messina, F, Rosaci, D, Sarnè GML, Cotronei, M, Giuffre, S, Marcianò, A, Sarnè, G, Sarnè, GML, Fotia, L, Messina, F, Rosaci, D, Sarnè GML, Cotronei, M, Giuffre, S, Marcianò, A, Sarnè, G, and Sarnè, GML
- Abstract
In the Internet of Things, smart objects can build multidimensional and context-sensitive network infrastructures potentially rich of social interactions. Smart objects can be associated with software agents to boost social interactions and realizing complex and sophisticated forms of collaboration of objects with both other objects and people. In such a scenario, there exists the possibility to interact with unreliable partners exposing agents to the risks deriving by malicious behaviors. To mitigate these risks, Trust and Reputation Systems can be adopted to provide each agent with appropriate trustworthiness measures about the potential counterparts in order to select the best ones. In this context, our contribution consists of (i) a method to preliminarily identify the best candidates as malicious in order to consider them as pre-untrusted entities and (ii) a novel effective reputation model able to detect collusive malicious agents without introducing collateral effects with respect to the reputation scores of honest agents.
- Published
- 2023
6. The Concentration of Liver-Expressed Antimicrobial Peptide 2 in Human Milk and Infant Plasma Is Positively Associated with Adiposity and Body Weight in the First Year of Life.
- Author
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Kruger AL, Malpeli A, Sala M, Casado C, Mendez I, Fotia L, López M, Tournier A, Castrogiovanni D, Heredia F, Llovera R, Schiöth HB, Perelló M, and Andreoli MF
- Subjects
- Humans, Female, Infant, Prospective Studies, Adult, Male, Lactation, Antimicrobial Cationic Peptides metabolism, Antimicrobial Cationic Peptides blood, Breast Feeding, Cohort Studies, Blood Proteins, Milk, Human chemistry, Adiposity, Body Weight
- Abstract
Background: The liver-expressed antimicrobial peptide 2 (LEAP2) is a recently recognized anorectic and glucose-regulating hormone with an unknown role in lactation., Objectives: The objectives of this study were as follows: 1) to assess LEAP2 presence in human milk and putative associations with infant body weight and adiposity in the first year of life, 2) to evaluate the impact of maternal weight status on LEAP2 concentration, and 3) to explore the relationship between infant plasma LEAP2 concentration and body weight and adiposity., Methods: This prospective cohort observational study assessed LEAP2 concentration in plasma and milk from lactating women with normal weight (n = 26) or overweight or obesity (OW/OB, n = 26) at 6 mo postpartum and in 6-mo-old infant plasma, examining associations with metabolic and anthropometric variables at 6 mo and 1 y. Maternal plasma and milk leptin and insulin concentrations were also measured. LEAP2 expression in milk fat globules and single-cell-RNA-sequencing datasets was evaluated., Results: LEAP2 was detected in all milk samples assessed (2.08 ± 0.65 ng/mL) and was positively associated with infant triceps (P = 0.022, Cohen f
2 = 1.25) and subscapular (P = 0.008, f2 = 0.68) skinfolds at 1 y old. Maternal LEAP2 was positively associated with insulin (P = 0.005, f2 = 0.30) and prepregnancy body mass index (BMI) (P = 0.040, f2 = 0.17) and negatively associated with gestational weight gain (P = 0.008, f2 = 0.25) and postpartum weight retention (P = 0.036, f2 = 0.15). Maternal LEAP2 was higher in plasma (P = 0.039), but not milk of lactating women with OW/OB. Infant plasma LEAP2 (1.98 ± 0.28 ng/mL) was positively associated with weight (P = 0.004, f2 = 0.63), BMI (P = 0.049, f2 = 0.37), and weight-for-length (P = 0.024, f2 = 0.35) z-scores at 1 y old, predominantly in males. No evidence for LEAP2 mRNA expression was found in mammary cells., Conclusions: Milk LEAP2 is a bioactive component that plays a role in infant fat accretion in the first year of life. Although maternal LEAP2 responds to weight change in pregnancy and lactation, infant plasma LEAP2 might be involved in body weight regulation in early life. This trial was registered at clinicaltrials.gov as NCT05798676., Competing Interests: Conflict of interest The authors report no conflicts of interest., (Copyright © 2024 American Society for Nutrition. Published by Elsevier Inc. All rights reserved.)- Published
- 2024
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7. Leptin receptor expression in blood mononuclear cells of lactating women is associated with infant body weight: Potential role as a molecular biomarker.
- Author
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Malpeli A, Fasano MV, Sala M, Obregón P, Casado C, Mendez I, Fotia L, Castrogiovanni D, Varea A, Disalvo L, Tournier A, Mazziota L, Rocha D, Kruger AL, Orellano L, and Andreoli MF
- Subjects
- Pregnancy, Infant, Female, Humans, Infant, Newborn, Body Mass Index, Lactation, Milk, Human metabolism, Leukocytes, Mononuclear metabolism, Obesity metabolism, Insulin, Biomarkers metabolism, Leptin, Receptors, Leptin
- Abstract
Background: Molecular biomarkers of maternal leptin resistance associated with infant weight are needed., Objectives: To evaluate gene expression of leptin receptor (LEPR), suppressor of cytokine signalling 3 (SOCS3) and insulin receptor in peripheral blood mononuclear cells (PBMCs) of lactating women and their relationship with infant body weight and adiposity., Methods: At day 10 postpartum, maternal gene expression in PBMCs as well as leptin and insulin concentrations in plasma and milk were assessed (n = 68). Infant weight and BMI z-scores, skinfolds and arm circumference were obtained at 10 days and/or at 3 months old., Results: In mothers with pre-pregnancy overweight or obesity (OW/OB), LEPR expression was reduced (p = 0.013) whereas plasma and milk leptin and milk insulin concentrations were elevated. LEPR expression was positively related with infant weight z-score (Beta (95% CI): 0.40 (0.17, 0.63), p = 0.001) but not with leptin concentrations. SOCS3 expression was positively related with infant weight z-score (Beta (95% CI): 0.28 (0.04, 0.51), p = 0.024) and arm circumference (Beta (95% CI): 0.57 (0.32, 0.82), p < 0.001). Relationships remained significant after adjusting for maternal and infant confounders., Conclusions: LEPR and SOCS3 gene expression in PBMCs are novel maternal molecular biomarkers that reflect leptin resistance and are associated with infant body weight and adiposity., (© 2023 World Obesity Federation.)
- Published
- 2023
- Full Text
- View/download PDF
8. A Prospective Study Evaluating Health-Related Quality of Life Following a Multimodal Treatment for Colorectal Cancer.
- Author
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Perrone M, Garufi C, Cosimelli M, Graziano F, Falcicchio C, Bonucci A, Fotia L, Giannarelli D, Giacomelli L, Ciliberto G, and Pugliese P
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- Humans, Female, Prospective Studies, Surveys and Questionnaires, Combined Modality Therapy, Quality of Life psychology, Colorectal Neoplasms therapy, Colorectal Neoplasms psychology
- Abstract
Purpose: The major improvements in the diagnosis and treatment of colorectal cancer (CRC) over the past decades increased the patients' survival rates. Despite this, patients and clinicians still need to address the long-term physical and psychosocial effects over time. This paper aims to prospectively assess CRC patients' HR-QoL psychological distress and sexual functioning and identify clinical, demographic, and psychological predictors., Methods: In total, 55 patients were evaluated from diagnosis to 5-year follow-up with the following instruments: EORTC QLQ-C30 and QLQ-C38 for QoL and sexuality; HADS for psychological distress; and specific questions to detect psychological variables., Results: QoL worsened after diagnosis and returned to baseline values after 5 years. Sexual function significantly deteriorated over time (with no recovery, especially in women), while borderline/severe anxiety and depression decreased. A better HR-QoL at baseline was associated with better physical, social and sexual functioning, positive body image and sexual pleasure after 5 years., Conclusion: HR-QoL allows the early detection of patients at risk, favoring prompt patient-centered interventions., (© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)
- Published
- 2023
- Full Text
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9. The immersive experience of virtual reality during chemotherapy in patients with early breast and ovarian cancers: The patient's dream study.
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Fabi A, Fotia L, Giuseppini F, Gaeta A, Falcicchio C, Giuliani G, Savarese A, Taraborelli E, Rossi V, Malaguti P, Giannarelli D, Pugliese P, and Cognetti F
- Abstract
Background: A virtual reality experience (VRE) could represent a viable non-pharmacological intervention to reduce and better manage the main factors of psychophysical distress related to the diagnosis and treatment of cancer., Aim: The "Patient's Dream" study was a two-arm randomized controlled trial conducted at the Regina Elena National Cancer Institute - IRCCS (Rome, Italy) from April 2019 to January 2020 to evaluate VRE impact in patients affected by breast or ovarian cancer. Before starting the first cycle of chemotherapy (CT), patients were randomized to receive the VRE (VRE arm) as "distraction therapy" or to entertain themselves with conventional means (control arm). The primary aims were the assessment of psychological distress, anxiety and quality of life between the two study arms. Secondary endpoints were the perceived time during the first course of CT and the acute and late toxicity., Results: Fourty-four patients were enrolled, 22 patients were randomly assigned to the VRE arm and 22 to the control arm. Collected data underline the absence of prevalent disturbs of anxiety and depression in both groups. Nevertheless, even if the state anxiety values before and after CT decreased in both groups, this reduction was statistically significant over time only in the VRE arm. The duration of therapy perceived by patients undergoing distraction therapy was significantly shorter when compared to the control group. The use of VRE during the first CT cycle appeared to reduce asthenia outcomes., Conclusion: Obtained data suggest that the VRE positively influenced the levels of state anxiety among cancer patients and support the continuous research on VRE as a distraction intervention, with the aim to meet the clinical need for effective nonpharmacologic adjunctive therapies., Clinical Trial Registration: https://clinicaltrials.gov/ct2/show/NCT05234996, identifier NCT05234996., Competing Interests: Authors FG, AG and GG are funders of Twiceout. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2022 Fabi, Fotia, Giuseppini, Gaeta, Falcicchio, Giuliani, Savarese, Taraborelli, Rossi, Malaguti, Giannarelli, Pugliese and Cognetti.)
- Published
- 2022
- Full Text
- View/download PDF
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