23 research outputs found

    Two-photon excitation fluorescence in ophthalmology: safety and improved imaging for functional diagnostics

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    Two-photon excitation fluorescence (TPEF) is emerging as a powerful imaging technique with superior penetration power in scattering media, allowing for functional imaging of biological tissues at a subcellular level. TPEF is commonly used in cancer diagnostics, as it enables the direct observation of metabolism within living cells. The technique is now widely used in various medical fields, including ophthalmology. The eye is a complex and delicate organ with multiple layers of different cell types and tissues. Although this structure is ideal for visual perception, it generates aberrations in TPEF eye imaging. However, adaptive optics can now compensate for these aberrations, allowing for improved imaging of the eyes of animal models for human diseases. The eye is naturally built to filter out harmful wavelengths, but these wavelengths can be mimicked and thereby utilized in diagnostics via two-photon (2Ph) excitation. Recent advances in laser-source manufacturing have made it possible to minimize the exposure of in vivo measurements within safety, while achieving sufficient signals to detect for functional images, making TPEF a viable option for human application. This review explores recent advances in wavefront-distortion correction in animal models and the safety of use of TPEF on human subjects, both of which make TPEF a potentially powerful tool for ophthalmological diagnostics

    Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study

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    : The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990)

    Adsorption and Degradation of Rimsulfuron on Al Hectorite

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    Adsorption and Degradation of Rimsulfuron on Al Hectorite

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    In vitro evidence for the presence of [(3)H]-haloperidol uptake in rat brain

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    1. The neuroleptic [(3)H]-haloperidol (HP) was taken up in synaptosomes prepared from rat brain, in a temperature-, sodium ion-, and energy-dependent process. 2. The highest concentration of uptake sites (V(max)=2.37 pmol mg(−1) protein min(−1)) was in the striatum with the other brain areas displaying lower (by 50–70%) values. 3. The affinity values (K(m)≈40 nM) were similar in all brain areas considered. 4. The pharmacological characterization did not indicate a well-defined group of inhibitors, which suggested that HP might not use a transporter for recognized neurotransmitters. 5. The HP metabolites tested, including HPTP, were competitive inhibitors of [(3)H]-HP uptake, an indirect indication that they may actively enter the striatal nerve endings through the same carrier. 6. Since the uptake process was partially affected by the incubation of [(3)H]-HP in the presence of several antagonists of HP-transforming cytochrome P450 isoforms, the binding of HP at some enzyme sites inside the synaptosome cannot be excluded. 7. In conclusion, the present results suggest that HP may be actively transported in the rat brain

    A big data platform exploiting auditable tokenization to promote good practices inside local energy communities

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    The Energy Community Platform (ECP) is a modular system conceived to promote a conscious use of energy by the users inside local energy communities. It is composed of two integrated subsystems: the Energy Community Data Platform (ECDP), a middleware platform designed to support the collection and the analysis of big data about the energy consumption inside local energy communities, and the Energy Community Tokenization Platform (ECTP), which focuses on tokenizing processed source data to enable incentives through smart contracts hosted on a decentralized infrastructure possibly governed by multiple authorities. We illustrate the overall design of our system, conceived considering some real-world projects (dealing with different types of local energy community, different amounts and nature of incoming data, and different types of users), analyzing in detail the key aspects of the two subsystems. In particular, the ECDP acquires data of a different nature in a heterogeneous format from multiple sources and supports a data integration workflow and a data lake workflow, designed for different uses of the data. We motivate our technological choices and present the alternatives taken into account, both in terms of software and of architectural design. On the other hand, the ECTP operates a tokenization process via smart contracts to promote good behaviors of users within the local energy community. The peculiarity of this platform is to allow external parties to audit the correct behavior of the whole tokenization process while protecting the confidentiality of the data and the performance of the platform. The main strengths of the presented system are flexibility and scalability (guaranteed by its modular architecture), which allow its applicability to any type of local energy community

    MODA-ML, an Interoperability Framework for the Textile-Clothing Sector

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    The MODA-ML project aims to enhance the interoperability between enterprises in the Textile/Clothing sector defining a common interchange language based on a set of XML business components and on a framework to exchange business documents related to production processes. The message switching system is built on a peer-to-peer architecture and is based for the transport specification on the ebXML standards. In order to enforce this architecture a set of tools has been developed to face the security and the maintenance of the system, and to encourage the diffusion of MODA-ML framework. Some considerations on the first phase of the experimentation conducted by a group of leading Italian T/C enterprises are presented at the end of the paper
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