Special Issue: “Biological Control of Pre- and Postharvest Fungal Diseases”

The 2030 Agenda for Sustainable Development planned 17 Sustainable Development Goals (SDGs) to ensure a better present and future for our planet and the people that are living on it. The European Union joined Agenda 2030 and included some of them in the Farm to Fork strategy of European Green Deal, which plans a list of measures within 2030, including reaching 25% of organic agriculture, halving food waste (often ascribed to the postharvest decay of fruit and vegetables) and halving the use of synthetic pesticides. Therefore, the need to find environmentally friendly and safe solutions and strategies for the management of pre- and postharvest diseases can meet some of these requirements. The Special Issue “Biological Control of Pre- and Postharvest Fungal Diseases” included nine research articles and two reviews. All contributions provided potential alternatives to synthetic pesticides by reporting innovative results about the use of alternative strategies to synthetic pesticides, involving the use of biocontrol agents (BCAs), essential oils (EOs), basic substances, and plant extracts to manage some of the most important pre- and postharvest diseases of fresh fruit and vegetables.info:eu-repo/semantics/publishedVersio

Structure Learning of Quantum Embeddings

The representation of data is of paramount importance for machine learning methods. Kernel methods are used to enrich the feature representation, allowing better generalization. Quantum kernels implement efficiently complex transformation encoding classical data in the Hilbert space of a quantum system, resulting in even exponential speedup. However, we need prior knowledge of the data to choose an appropriate parametric quantum circuit that can be used as quantum embedding. We propose an algorithm that automatically selects the best quantum embedding through a combinatorial optimization procedure that modifies the structure of the circuit, changing the generators of the gates, their angles (which depend on the data points), and the qubits on which the various gates act. Since combinatorial optimization is computationally expensive, we have introduced a criterion based on the exponential concentration of kernel matrix coefficients around the mean to immediately discard an arbitrarily large portion of solutions that are believed to perform poorly. Contrary to the gradient-based optimization (e.g. trainable quantum kernels), our approach is not affected by the barren plateau by construction. We have used both artificial and real-world datasets to demonstrate the increased performance of our approach with respect to randomly generated PQC. We have also compared the effect of different optimization algorithms, including greedy local search, simulated annealing, and genetic algorithms, showing that the algorithm choice largely affects the result

Exploiting the Nutrient Potential of Anaerobically Digested Sewage Sludge: A Review

The world is currently witnessing a rapid increase in sewage sludge (SS) production, due to the increased demand for wastewater treatment. Therefore, SS management is crucial for the economic and environmental sustainability of wastewater treatment plants. The recovery of nutrients from SS has been identified as a fundamental step to enable the transition from a linear to a circular economy, turning SS into an economic and sustainable source of materials. SS is often treated via anaerobic digestion, to pursue energy recovery via biogas generation. Anaerobically digested sewage sludge (ADS) is a valuable source of organic matter and nutrients, and significant advances have been made in recent years in methods and technologies for nutrient recovery from ADS. The purpose of this study is to provide a comprehensive overview, describing the advantages and drawbacks of the available and emerging technologies for recovery of nitrogen (N), phosphorus (P), and potassium (K) from ADS. This work critically reviews the established and novel technologies, which are classified by their ability to recover a specific nutrient (ammonia stripping) or to allow the simultaneous recovery of multiple elements (struvite precipitation, ion exchange, membrane technologies, and thermal treatments). This study compares the described technologies in terms of nutrient recovery efficiency, capital, and operational costs, as well as their feasibility for full-scale application, revealing the current state of the art and future perspectives on this topic

Aureobasidium spp.: Diversity, Versatility, and Agricultural Utility

The black yeast-like fungi Aureobasidium spp. are ubiquitous microorganisms found in a wide variety of extreme and benign environments as saprophytes, endophytes, and pathogens. Since this diverse genus includes species with potential uses in agriculture and the food industry, it is important that we explore their evolution and spread in the context of climate change. Aureobasidium spp. are known to be capable of producing a plethora of various metabolites, many of which find applications in the field in the control of plant pathogens. The present review aims to explain how these microorganisms can provide ecological and safe strategies that might be adopted in agricultural production systems and food processing. The versatility and potential of the Aureobasidium genus lie perfectly within the Sustainable Development Goals Agenda 2021-2030 by opening new horizons that are respectful to the environment and human health

Effects of Chickpea in Substitution of Soybean Meal on Milk Production, Blood Profile and Reproductive Response of Primiparous Buffaloes in Early Lactation

This study aimed to evaluate the effects of the use of chickpea meal in substitution of soybean meal on plasma metabolites, reproductive response, milk yield and composition and milk coagulation traits of primiparous buffaloes in early lactation. Eighteen primiparous buffaloes were blocked by age, body weight and days in milk and equally allotted to two experimental groups from 10 to 100 days of lactation. The experimental diets consisted of the same forage integrated with two different isonitrogenous and isoenergetic concentrates containing either 210 g/kg of soybean meal or 371 g/kg chickpea. The use of chickpea meal had no negative effects on dry matter intake (p = 0.69), body condition score (p = 0.33) and milk yield (p = 0.15). Neither milk composition nor blood metabolites were influenced by dietary treatments (p > 0.05), but an increment of urea concentrations in milk (p 0.05) of the dietary treatment was highlighted on milk coagulation traits as well as buffalo reproductive responses. We concluded that soybean meal can be replaced by chickpea meal in the diet for primiparous dairy buffaloes in the early lactation period without impairing their productive and reproductive performance

HIV-1 induces in vivo platelet activation by enhancing platelet NOX2 activity.

OBJECTIVES: HIV-1 patients show increased platelet activation, but the mechanisms involved are not completely clarified. We speculated that HIV-1 might induce in vivo platelet activation by enhancing platelet NOX2-related oxidative stress. METHODS: We measured soluble CD40 Ligand (sCD40L), a systemic marker of platelet activation, in 36 HIV-1 patients under effective combined antiretroviral therapy (cART) and in 10 naïve HIV-1 subjects. As control, 20 healthy subjects (HS) were included. Platelet oxidative stress was measured by platelet NOX2-derived peptide (sNOX2-dp), p47(phox) translocation to platelet membrane and platelet prostaglandin F2α (8-iso-PGF2α). RESULTS: sCD40L was increased both in HIV-1 naïve and cART patients compared to HS (p < 0.001). Platelet sNOX2-dp and 8-iso-PGF2α were significantly higher in HIV-1 naïve subjects compared to those on cART and to HS, and both were mutually correlated (R = 0.734, p < 0.001). A stepwise multivariable linear regression analysis showed that platelet sNOX2-dp (β: 0.803, p < 0.001), HIV-1 infection (β: 0.146, p = 0.014) and age (β: 0.166, p = 0.001) were independently associated to sCD40L levels. CONCLUSIONS: HIV-1 infection is associated with increased platelet oxidative stress, which was related to the activation of NOX2. The independent association between platelet NOX2 activation and plasma levels of sCD40L suggest that in vivo platelet activation may be dependent upon platelet oxidative stress

Aureobasidium pullulans as biological control agent: modes of action

The postharvest phase has been considered an environment very suitable for successful application of biological control agents (BCAs). However, the tri-interaction between fungal pathogen, host (fruit) and antagonist is influenced by several parameters such as temperature, oxidative stresses, oxygen composition, water activity, etc. that could be determining for the success of biocontrol. Knowledge of the modes of action of BCAs is essential in order to enhance their viability and increase their potentialities in disease control. The thesis focused on the possibility to explain the modes of action of a biological control agent (BCA): Aureobasidium pullulans, in particular the strains L1 and L8, control effective against fruit postharvest fungal pathogen. In particular in this work were studied the different modes of action of BCA, such as: i) the ability to produce volatile organic compounds (VOCs), identified by SPME- gas chromatography-mass spectrometry (GC-MS) and tested by in vitro and in vivo assays against Penicillium spp., Botrytis cinerea, Colletotrichum acutatum; ii) the ability to produce lytic enzymes (exo and endo chitinase and β-1,3-glucanase) tested against Monilinia laxa, causal agent of brown rot of stone fruits. L1 and L8 lytic enzymes were also evaluated through their relative genes by molecular tools; iii) the competition for space and nutrients, such as sugars (sucrose, glucose and fructose) and iron; the latter induced the production of siderophores, molecules with high affinity for iron chelation. A molecular investigation was carried out to better understand the gene regulation strictly correlated to the production of these chelating molucules. The competition for space against M. laxa was verified by electron microscopy techniques; iv) a depth bibliographical analysis on BCAs mechanisms of action and their possible combination with physical and chemical treatments was conducted

Management of Intra-abdominal Infections due to Carbapenemase-Producing Organisms.

The prevalence of bacterial resistance to carbapenem antibiotics continues to increase because of bacteria producing metallo-β-lactamases (MBL), called carbapenemase-producing organisms (CPO). Enterobacteriaceae, which can be a common cause of intra-abdominal infections (IAIs), have become carbapenem-resistant Enterobacteriaceae (CRE). Updated international guidelines for the treatment of both IAIs and IAIs due to CRE have been published. Given the multifaceted nature of these infections, these recommendations have been jointly reviewed and endorsed by the Surgical Society and the Association of Medical Microbiology and Infectious Disease. The aims of this review are to summarize the general and new generation of multimodal procedure to manage IAIs due to CRE and review the data available on the combination of interventions to reduce CRE. Future research should focus on the development of novel and safe antimicrobial therapies and the quantification of the incremental effect of infection control programmes and new methods to rapidly detect pathogens before patients enter the surgical settin