Acta Orientalia Vilnensia
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    Multi-biomarker assessment of essential and toxic elements accumulation in Labeo gonius from Khushab Lake (Pakistan)

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    The continuous increase in the concentration of heavy metals in bodies of water due to human activity poses a serious threat to the sustainability and overall health of the ecosystem. This study investigated the essential and toxic elements bioaccumulation in various tissues (gills, muscles, liver, and brain) of the Minor carp (Labeo gonius) from two sampling sites of highly polluted Khushab Lake, a tributary of River Jhelum (in the Pakistan's Punjab province), along with a less exposed reference site (Chashma Lake-less polluted site). The impacts of pollution on the health profile of the fish were assessed using multiple biomarkers for analysis. The maximum accumulation of essential and toxic elements was reported in liver tissues, followed by gills. Copper (Cu) and iron (Fe) were the highest accumulated essential elements in liver and gills tissues, while magnesium (Mg) and calcium (Ca) were the highest accumulated in muscles and brain tissues. Hematological and serum biochemical profile of L. gonius showed intense abnormalities at Khushab Lake as compared to reference site. Histopathological investigations indicated severe alterations in the liver tissues along with significant changes in other tissues. Principal component analysis (PCA) showed strong correlations among essential and toxic elements in various tissues of fish. The results revealed that aquatic life in Lake Khushab is at the greatest risk to its health. Therefore, mitigating measures should be adapted by key stakeholders including environmental protection agency (ensure disposal of pre-treated wastes and effluents) and fisheries department (limnological assessment and stocking of fish at regular intervals)

    New records of introduced species in the Mediterranean Sea (february 2025)

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    This Collective Article compiles information on nineteen (19) species recorded in seven (7) Mediterranean countries (Croatia, Cyprus, Italy, Malta, Slovenia, Syria, and Türkiye) and across four major sub-basins (Adriatic, Western, Central, and Eastern Mediterranean). The documented taxa represent eight (8) phyla: Annelida (four species), Arthropoda (three), Bryozoa (one), Chordata (two), Cnidaria (two), Mollusca (five), Chlorophyta (one), and Ochrophyta (one). Observations originated from both dedicated scientific surveys (including trawl sampling, van Veen grabs, and harbor-wall scraping) and citizen science initiatives by divers, shell collectors, and recreational fishers. Significant first records include Notomastus aberans (Slovenia), Paraprionospio coora (Italy), Polydora cornuta (Tyrrhenian Sea), Coleusia signata (Cyprus), Penaeus aztecus (Malta), Pleopis schmackeri (Syria), Pteragogus trispilus (Italy), Triacanthus biaculeatus (Turkiye), Oculina patagonica (Syria), and Watersipora subatra (Slovenia). In the Mollusca group, Conomurex persicus extends its known range westward to the Messina Strait (southern Italy), and Sepioteuthis lessoniana is recorded for the first time in Italian waters. Additional first reports for Turkiye include Alveinus miliaceus and Retusa desgenettii in the Turkish Levantine Sea. The species Uroteuthis (Photololigo) arabica represents a first record for the entire Mediterranean basin. Finally, Colpomenia peregrina (Chlorophyta) and Caulerpa taxifolia (Ochrophyta) highlight ephemeral "boom-and-bust" occurrences in Croatia, raising questions about transient invasive dynamics. These collective findings underscore the importance of coordinated monitoring efforts, inclusive of both scientific and citizen-based approaches, to better understand and manage marine biodiversity shifts in the Mediterranean

    Utilization of Machine Learning in the Prediction, Diagnosis, Prognosis, and Management of Chronic Myeloid Leukemia

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    Chronic myeloid leukemia is a clonal hematologic disease characterized by the presence of the Philadelphia chromosome and the BCR::ABL1 fusion protein. Integrating different molecular, genetic, clinical, and laboratory data would improve the diagnostic, prognostic, and predictive sensitivity of chronic myeloid leukemia. However, without artificial intelligence support, managing such a vast volume of data would be impossible. Considering the advancements and growth in machine learning throughout the years, several models and algorithms have been proposed for the management of chronic myeloid leukemia. Here, we provide an overview of recent research that used specific algorithms on patients with chronic myeloid leukemia, highlighting the potential benefits of adopting machine learning in therapeutic contexts as well as its drawbacks. Our analysis demonstrated the great potential for advancing precision treatment in CML through the combination of clinical and genetic data, laboratory testing, and machine learning. We can use these powerful research instruments to unravel the molecular and spatial puzzles of CML by overcoming the current obstacles. A new age of patient-centered hematology care will be ushered in by this, opening the door for improved diagnosis accuracy, sophisticated risk assessment, and customized treatment plans

    “Al que ingrato me deja, busco amante”: uno sguardo sull’etica delle traduzioni italiane del sonetto sorjuanino, 1949–1995

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    En 1949 la editorial florentina Sansoni publica una antología bajo el título de “Orfeo: il tesoro della lirica universale” que acoge líricas traducidas de más de treinta idiomas y a lo largo de los siglos, empezando por los orígenes (III milenio a. C., con el poema babilónico Enuma Eliš), hasta llegar a la edad moderna, pasando por todas las épocas y las corrientes literarias. Con voluntad divulgadora y afán ecuménico y considerando la traducción una necesidad, esta recopilación cuenta con miles de textos traducidos al italiano. Por lo que atañe a la literatura en lengua española, se presentan muchas versiones hasta esa fecha inéditas, con un importante segmento dedicado a obras escritas por mujeres y traducidas al italiano: Pene d’amore —por Piero Raimondi— es la traducción de Al que ingrato me deja busco amante de Sor Juana Inés de la Cruz (1648-1695), soneto que abre paso a una serie de temas aún actuales como los relativos a la cuestión del amor relatado por una monja y su relación con el poder masculino. Raimondi se había demostrado traductor descuidado al traducir la redondilla más célebre de la monja —Hombres necios que acusáis...— eludiendo unas componenetes esenciales para respetar la esfera sorjuanina, como adelantado en un precedente estudio. Este análisis pretende examinar cuestiones relativas al ámbito translaticio bajo una perspectiva semántico-métrico-sintáctica para poder identificar fidelidades e / o infidelidades sustanciales y formales del traducto

    Exploring AI Integration in Sicilian SMEs: An Investigation on Awareness and Perspectives

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    In an increasingly digitalised society, Artificial Intelligence (AI) is gaining prominence as a key driver of business innovation and competitiveness. While much research has focused on AI adoption in large enterprises, fewer studies have explored its integration within small and medium-sized enterprises (SMEs), especially in regions with specific socio-economic contexts. This study investigates the awareness, perceptions, and adoption of AI technologies among SMEs in Sicily, a region in southern Italy, characterised by unique economic and organisational dynamics. Adopting a mixed-methods approach, the research combines qualitative insights from in-depth interviews with entrepreneurs from both digital and non-digital sectors, and a large-scale quantitative survey targeting over 2.000 Sicilian SMEs. The methodological framework is structured in sequential phases, where the qualitative component plays a foundational role in informing and shaping the subsequent quantitative investigation. The qualitative findings reveal significant disparities in AI awareness and implementation between sectors, highlighting both enablers and barriers such as digital maturity, organizational culture, training needs, and resistance to change. These insights informed the development of a structured questionnaire to capture broader trends in AI readiness, perceived benefits, and challenges. The study contributes to the literature on digital transformation in SMEs by applying the Technology–Organization–Environment (TOE) framework to a specific regional context, offering both theoretical insights and practical recommendations for policymakers, training institutions, and business leaders seeking to foster inclusive AI adoption

    Correction: Current state-of-the-art of adrenal surgery in Italy: the cancer risk in surgical adrenal lesions (CRISAL) survey

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    In this article some authors name were missing from the CRISAL collaborative group. These authors are list. • Ugo Boggi • Riccardo Casadei • Massimiliano Fabozzi • Mario Guerrieri • Gabriele Materazzi • Gianluigi Moretto • Micaela Piccoli • Paolo Prosperi • Chiara Dobrinja The original article has been corrected

    Big Swings in the Data and Perceived Changes in the Risk Premia

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    Stock markets experience periods where stocks or market returns are consistently higher than their mean and other periods where the individual stocks and markets' volatility fluctuates from high to low. Since these periods do not necessarily coincide, a related question is whether periods where individual stock markets are higher than their mean, usually identified as alpha s different from zero in the conditional regressions, disappear once the researcher accounts for changing states of the economy. In this spirit, we develop and estimate a state-dependent version of the CAPM pricing model that accounts for considerable swings in the data. We use U.S. financial data to assess the model's validity and find support for a state-dependent version of the CAPM for the data under consideration. We show how important it is to consider changes in stock and market returns and changes in their variance-covariances, and that, when not accounting for changes in market conditions, may spuriously yield significant alpha values. We stress that to assess changes in the risk premium, we should not only focus on beta s but also allow for changes in the market premium; otherwise, changes in risk premia may be over- or underestimated. In addition, the classification between investment opportunities may be mistaken for a single regime model, even when rolling regressions are used

    Hybrid-Dissimilar Joints for Lightweight Structures

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    The adoption of emerging technologies, such as additive manufacturing of metals, improves the sustainability and circularity of industrial processes, by minimising waste through the precise use of materials. Selective laser melting is widely used to produce components with complex geometries in various structural alloys, meeting the needs of various industries, including shipbuilding. The aim of this research is the evaluation of the mechanical behaviour of metal-composite joints for lightweight structures. Two types of additive manufactured specimens, subjected to tensile and three point bending loadings, were considered in this study. The first one consists of additive manufactured AlSi10Mg, the second of a layered structure in which the bulk material (additive manufactured AlSi10Mg) is coated with carbon fibre reinforced skins. Both types are further divided into three groups, according to the 3D building direction: 0°, 45°, 90°. The Digital Image Correlation technique was applied during tensile tests for strain calculation. Non-destructive evaluation, using digital microscopy and infrared thermography, was carried out for the analysis of failure modes and damage. The analysis of the fracture surfaces highlighted a brittle behaviour. The investigated layered structures could be applied for replacing the traditional structure of the aluminium boats with the advantages of the additive manufacturing technology for the aluminium material and the high mechanical performance for the carbon fibre composite material

    A Four-Year Study of Antibiotic Resistance, Prevalence and Biofilm-Forming Ability of Uropathogens Isolated from Community- and Hospital-Acquired Urinary Tract Infections in Southern Italy

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    The aim of this study was to investigate the differences between nosocomial and community microorganisms isolated from patients with UTI by determining their bacterial profile, antibiotic resistance and ability to produce biofilms. A retrospective study, based on bacterial isolates from consecutive urine samples collected between January 2019 and December 2023, was conducted at a university hospital. The main pathogens isolated from both community and hospital samples were the same, but their frequency of isolation differed. Compared with community-associated cases, hospital-associated infections have more isolates of Acinetobacter baumanii complex. In contrast, Proteus mirabilis isolates were more prevalent in community than in hospital infections. In both hospital and community isolates, gram-positive bacteria showed a lower overall antimicrobial resistance (22%) compared to gram-negative bacteria (30%). The data demonstrated that individual strains exhibited disparate degrees of capacity for biofilm formation. Additionally, the data indicate an inverse correlation between biofilm production and antibiotic resistance. Isolates from community patients exhibited lower capacities for biofilm production in comparison to the capacities demonstrated by microorganisms isolated from nosocomial patients (29% and 35%, respectively). Area-specific surveillance studies can provide valuable information on UTI pathogens and antimicrobial resistance patterns, which can be useful in guiding empirical treatment

    On Thermodynamical Kluitenberg Theory in General Relativity

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    In this paper, we introduce Kluitenberg's formulation of non-equilibrium thermodynamics with internal variables in the context of a Riemannian space, as required by Einstein's general relativity. Using the formulation of the second law of thermodynamics in general coordinates with a pseudo-Euclidean metric, we derive a Levi-Civita-like energy tensor and propose a generalization of the second law within a Riemannian space, in agreement with Tolman's approach. In addition, we determine the expression for the entropy density in a general Riemannian space and identify the new variables upon which it depends. This allows us to deduce, within this framework, the equilibrium inelastic and viscous stress tensors as well as the entropy production. These expressions are consistent with the principle of general covariance and Einstein's equivalence principle

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