Search Results (75,340)

The surface material’s nature can influence the formation of biofilms. Environmentally friendly materials such as linoleum, derived from organic sources, have emerged to address the need to balance ecological requirements with practical considerations, particularly in sectors where hygiene is of critical importance, such as sports and healthcare. Nevertheless, even with appropriate utilization, these materials can deteriorate over time, resulting in the proliferation of harmful microbes. Metagenomic analyses were conducted to identify the microbiota responsible for the chromatic variation (n = 4) observed on a linoleum sample immersed in water. Subsequently, the data were correlated with spectroscopic analyses via microNIR. The preliminary investigations did not establish the role of abiotic components in the processes of surface discoloration. The bacterial microbiota formed on the surfaces was characterized, indicating a potential biotic role in the degradation of linoleum. Data exploration obtained from the spectroscopic acquisitions through principal component analysis produced a clustering of the data matrix into four subgroups, corresponding to the four chromatic variations. The preliminary data appear to indicate the degradation mechanisms to which materials of organic origin are subject. Furthermore, they suggest that the personalized functionalization of such materials could support effective replacement from a One Health perspective of traditional materials. Full article

This pilot study investigates the chemical profiling and antioxidant potential of six blueberry genotypes: three tetraploids from the highbush blueberry species and three hexaploids from the rabbiteye blueberry species. The goal was to characterise the biochemical composition of these genotypes, grown under identical pedoclimatic conditions, and to evaluate the variation in bioactive compounds associated with antioxidant activity. Metabolomic and ionomic analyses were employed to identify and relatively quantify these compounds. Multivariate analyses clustered the genotypes based on phytochemical profiles, pinpointing key genotype-clustering metabolites. Significant variations among genotypes were observed. Ochlockonee and Overtime had the highest anthocyanins, phenols, ascorbates, and antioxidant activity levels. Over thirty metabolites (organic acids, sugars, and flavonoid glycosides) drove the genotype clustering. Although Last Call and Legacy had more metabolites, their antioxidant properties were lower, suggesting that phenolic quality influences antioxidant activity more than quantity. Overtime had the highest phenolic content, followed by Last Call in anthocyanins. Liberty and Legacy showed the lowest anthocyanin and ascorbate levels, while Overtime and Ochlockonee were characterised by an increase in ascorbate content. Rabbiteye blueberries showed higher antioxidant potential than highbush, indicating that antioxidant efficacy depends more on the composition and quality of the bioactive compounds than on their total concentration. Full article

Due to bacterial resistance to antimicrobials, antibiotic therapy for urinary tract infections (UTIs) has become a major challenge for clinicians. The present work aimed to compare the antimicrobial susceptibility profiles of 53 uropathogenic Escherichia coli (UPEC) isolates, assessed using the disk diffusion method and two automated systems (PHOENIX BD™ and VITEK2), with interpretations based on CLSI and BrCAST guidelines. Twenty-five antibiotics were tested to assess differences in susceptibility profiles. Statistical tools, including Kappa coefficient analysis and chi-square tests, were applied to assess concordance and significance between methods. Among the main discrepancies found, BrCAST has classified a greater number of UPEC isolates as resistant to more than half of the antibiotics tested by the disk diffusion method, when compared to CLSI. Although faster, the PHOENIX BD and VITEK2 automated systems exhibited significant discrepancies, with divergences observed for half of the antimicrobials tested. Both automated methods showed discrepancies compared to the disk diffusion method under CLSI and BrCAST guidelines. PHOENIX BD classified some isolates resistant by DD/CLSI as susceptible, while VITEK2 misclassified 25% to 50% of the antimicrobials tested. Conversely, VITEK2 also classified some isolates susceptible to DD/CLSI as resistant to 25% of the antimicrobials tested. Regarding DD/BrCAST, PHOENIX BD classified resistant isolates as susceptible (to 50% of the antimicrobials tested). In comparison, VITEK2 classified resistant isolates as susceptible and susceptible isolates as resistant (25% of the antimicrobials for both). These findings highlight the need for careful selection of susceptibility testing methods, as variations in interpretive criteria between CLSI and BrCAST could impact clinical decision-making. This study underscores the importance of methodological consistency in accurately informing antibiotic therapy in UTI management, especially in the face of rising resistance. Full article

Background: Total Kidney Volume (TKV) is widely used globally to predict the progressive loss of renal function in patients with Autosomal Dominant Polycystic Kidney Disease (ADPKD). Typically, TKV is calculated using Computed Tomography (CT) images by manually locating, delineating, and segmenting the ADPKD kidneys. However, manual localization and segmentation are tedious, time-consuming tasks and are prone to human error. Specifically, there is a lack of studies that focus on CT modality variation. Methods: In contrast, our work develops a step-by-step framework, which robustly handles both Non-enhanced Computed Tomography (NCCT) and Contrast-enhanced Computed Tomography (CCT) images, ensuring balanced sample utilization and consistent performance across modalities. To achieve this, Artificial Intelligence (AI)-enabled localization and segmentation models are proposed for estimating TKV, which is designed to work robustly on both NCCT and Contrast-Computed Tomography (CCT) images. These AI-based models incorporate various image preprocessing techniques, including dilation and global thresholding, combined with Deep Learning (DL) approaches such as the adapted Single Shot Detector (SSD), Inception V2, and DeepLab V3+. Results: The experimental results demonstrate that the proposed AI-based models outperform other DL architectures, achieving a mean Average Precision (mAP) of 95% for automatic localization, a mean Intersection over Union (mIoU) of 92% for segmentation, and a mean R2 score of 97% for TKV estimation. Conclusions: These results clearly indicate that the proposed AI-based models can robustly localize and segment ADPKD kidneys and estimate TKV using both NCCT and CCT images. Full article

The bilevel variational inequality on Riemannian manifolds refers to a mathematical problem involving the interaction between two levels of optimization, where one level is constrained by the other level. In this context, we present a variant of Korpelevich’s method specifically designed for solving bilevel variational inequalities on Riemannian manifolds with nonnegative sectional curvature and pseudomonotone vector fields. This variant aims to find a solution that satisfies certain conditions. Through our proposed algorithm, we are able to generate iteration sequences that converge to a solution, given mild conditions. Finally, we provide an example to demonstrate the effectiveness of our algorithm. Full article

Background/Objectives: Appetite is affected by the circadian clock and exhibits diurnal variations. Nevertheless, accurately measuring subjective appetite throughout the day in a free-living setting poses a challenge. This study presents the validation of a novel smartphone application designed to capture, process and analyze circadian appetite fluctuations in a free-living setting. Methods: Twenty-four healthy participants (ages 38.34 ± 3.2 years) completed this randomized crossover study. Participants completed subjective appetite questionnaires every 30 min in a free-living environment, starting from waking hours until bedtime, using visual analog scale (VAS) via the pen and paper (PP) method and the new smartphone application (App). In addition, on two experimental days, separated by a week of washout, participants were provided either a high-energy breakfast (850 kcal) or a low-energy breakfast (250 kcal). Participants completed the appetite questionnaires using both methods every 30 min for 4 h, followed by an ad libitum lunch. Results: The high-energy breakfast led to significantly increased fullness sensation and decreased hunger, desire to eat, prospective consumption, and appetite score compared with the low-energy breakfast. There was no significant difference between the methods (PP and App) in all measured parameters under both the free-living environment and the controlled environment. Additionally, Bland–Altman analysis revealed a high degree of agreement between the PP and App methods. Moreover, most participants rated the App as the preferred method regardless of age. Conclusions: Our findings show that the new smartphone application is a valid, reliable tool for measuring subjective appetite, suitable for use in chrononutritional studies conducted in a free-living environment and controlled settings. Full article

Background/Objectives: Melanoma is an aggressive cutaneous malignancy with a rising incidence. While most cases are sporadic, 5–10% are hereditary, especially in patients with multiple or familial melanomas. The aim of this study is to explore the epidemiological, clinical, histological, and genetic features of this class of patients to identify risk factors for better management and surveillance. Methods: Between 2021 and 2024, patients with multiple melanomas or a familial history of melanoma were recruited. Collected data included demographic, clinic-pathologic features, and genetic analyses. Results: Patients >60 years had a higher prevalence of multiple melanomas (>50%, p = 0.0002), while familial melanoma was more common in those <40 years (54.3%). UV exposure increased with age, while sunscreen use decreased (p = 0.0004). Younger patients showed the highest nevi counts (mean: 139.6) and density (p < 0.0001). Dermatologists more frequently detected subsequent melanomas in older patients (>60 years) (p = 0.001). Genetic testing and melanoma subtypes showed no significant age-related differences. Conclusions: melanoma can develop at any age, and early detection through regular screening is crucial. Older patients (>60 years) have a higher prevalence of multiple melanomas, influenced by UV exposure and genetics. Indeed, in our cohort, a history of sun exposure, sunburns, and tanning bed use emerged as key risk factors, particularly among older individuals. Genetic testing showed a 4.3% rate of pathogenic/likely pathogenic variants, mainly in CDKN2A. Family history and nevus burden are significant risk factors, highlighting the need for targeted surveillance in high-risk populations. Full article

Polyporus umbellatus is a medicinal fungus primarily used for diuresis, with its sclerotium serving as the medicinal component. The growth and development of sclerotia are reliant on a symbiotic relationship with Armillaria. However, the impact of different Armillaria species on the yield and quality of sclerotia remains unclear. In this study, three Armillaria strains, A35, A541, and A19, were identified through TEF-1α sequence analysis and phylogenetic classification. These strains were classified into three distinct species: A35 as A. ostoyae, A541 as A. gallica, while the taxonomic status of A19 remains unresolved. After four years of co-cultivation with these Armillaria strains, three groups of P. umbellatus sclerotia were harvested and labeled as A35-P, A541-P, and A19-P, respectively. The yields of A35-P, A541-P, and A19-P exhibited significant variations, with A541-P achieving the highest yield (1221 ± 258 g·nest⁻¹), followed by A35-P (979 ± 201 g·nest⁻¹), and A19-P yielding the least (591 ± 54 g·nest⁻¹). HPLC revealed significant differences in the levels of polyporusterone A and polyporusterone B among the groups. The total polysaccharide content, determined via the phenol-sulfuric acid method, also varied significantly, with A541-P recording the highest content (0.897 ± 0.042%), followed by A19-P (0.686 ± 0.058%), and A35-P showing the lowest value (0.511 ± 0.083%). PCA based on these data indicated clear distinctions among A35-P, A541-P, and A19-P, with the three groups forming separate clusters. This study, for the first time, demonstrates the effects of three different Armillaria species on the yield and active compound content of P. umbellatus. These findings provide valuable insights for selecting high-quality Armillaria strains and offer guidance for the artificial cultivation of P. umbellatus. Full article

Background: Lacertus syndrome, a condition characterized by median nerve compression at the elbow due to anatomical variations, is often misdiagnosed. This case report describes a 53-year-old female patient who presented with severe lateral elbow and shoulder pain, previously diagnosed with cervicalgia and tennis elbow. Methods: Upon admission, she reported significant pain (NRS—Numerical Rating Scale 8/10) and occasional radiating paresthesia in the first three digits of her left hand. Clinical examination revealed weakness in the wrist and finger flexion, which was exacerbated by a positive Cutaneous Scratch Test (CST), while Magnetic Resonance Imaging (MRI) of the cervical spine showed no definitive abnormalities. Electroneurography (ENG) indicated reduced amplitude in the left anterior interosseous nerve. Ultrasound excluded carpal tunnel syndrome but identified nerve flattening beneath the pronator teres muscle. A surgical decompression of the median nerve was performed, resulting in immediate improvement in muscle strength and significant pain reduction (NRS 1/10) postoperatively. Follow-up evaluations confirmed substantial recovery in nerve function and morphology. Conclusions: This case illustrates the atypical presentation of Lacertus syndrome, emphasizing the need for comprehensive diagnostic approaches that include clinical, imaging, and neurophysiological assessments. Awareness of this syndrome is crucial for differential diagnosis in patients exhibiting uncharacteristic symptoms, such as shoulder or elbow pain, to ensure timely and effective treatment. Full article

Due to the lack of measurement techniques suitable for examining compartments of intact, living cells, membrane biophysics is almost exclusively investigated in the plasma membrane despite the fact that its alterations in intracellular organelles may also contribute to disease pathogenesis. Here, we employ a novel, easy-to-use, confocal microscopy-based approach utilizing F66, an environment-sensitive fluorophore in combination with fluorescent organelle markers and quantitative image analysis to determine the magnitude of the molecular order-related dipole potential in the plasma membrane and intracellular organelles of various tumor and neural cell lines. Our comparative analysis demonstrates considerable intracellular variations of the dipole potential that may be large enough to modulate protein functions, with an inward decreasing gradient on the route of the secretory/endocytic pathway (plasma membrane >> lysosome > Golgi > endoplasmic reticulum), whereas mitochondrial membranes are characterized by a dipole potential slightly larger than that of lysosomes. Our approach is suitable and sensitive enough to quantify membrane biophysical properties selectively in intracellular compartments and their comparative analysis in intact, living cells, and, therefore, to identify the affected organelles and potential therapeutic targets in diseases associated with alterations in membrane lipid composition and thus biophysics such as tumors, metabolic, neurodegenerative, or lysosomal storage disorders. Full article

The domesticated silkworm, Bombyx mori, reared for sericulture, has gained attention as a promising, sustainable protein source. While studies have focused on pupal powders obtained through natural or artificial mulberry-based diets, this research builds on ethnoentomological knowledge of the use of dandelion as a short-term mulberry substitute, in a mixed mulberry–dandelion diet throughout larval development. Through proximate analyses, amino acid and fatty acid profiling, mineral and carbohydrate composition, as well as antioxidant activity assays, we investigated how dietary variation affects B. mori larvae. The mixed diet achieved a distinct nutritional profile, increasing total amino acids to 38.40 g/100 g compared to 32.37 g/100 g in the mulberry-only group, with differences in the content of essential amino acids like isoleucine (2.24 vs. 1.42 g/100 g) and phenylalanine (3.34 vs. 2.82 g/100 g). It also elevated linolenic acid to 74.33% of total fatty acids and introduced sorbitol (13.35 mg/g). Those two compounds were not detected in the larvae reared on a single-plant diet. HPLC-DAD analysis revealed phenolic acids, flavonoids, and riboflavin in both groups, which may serve as potential carriers of antioxidant activity. These preliminary findings demonstrate how dietary modifications can change nutritional profiles and antioxidant properties of B. mori. At the same time, they lay the foundation for further research to fully understand diet-induced effects in edible insects. Full article

To investigate the thickening characteristics of ultrafine tailings and the relationship between bed height and underflow concentration, a series of experiments, including graduated cylinder sedimentation tests, small-scale dynamic thickening, and semi-industrial experiments, were conducted. The results show that adding flocculants accelerates settling velocity, with a significant change occurring at 50 g/t when the bridging effect weakens. Solid flux increases initially with feed concentration but decreases after reaching a peak at 8%, where the maximum solid flux is 0.322 t·m⁻²·h⁻¹. Reducing solid flux, lowering flocculant dosage, and increasing bed height all contribute to higher underflow concentration, while reducing solid flux and increasing flocculant dosage lowers overflow turbidity. The variation in underflow concentration in the deep cone thickener (DCT) occurs in three phases: continuous feeding with no discharge, dynamic equilibrium with a stable bed height, and bed descent with increasing underflow discharge. At the same bed height, underflow concentration is lower during the bed descent phase compared to the continuous feeding phase. This study offers valuable insights for the precise control of underflow concentration in ultrafine tailing thickening processes. Full article

Background and Objectives: Obstructive sleep apnea is an extremely diffuse pathology that, if left untreated, can lead to very serious cardiovascular consequences. The primary goal of treatment is to maintain airflow in the upper airway tract, which can be obtained thanks to orthognathic surgery such as maxillo-mandibular advancement (MMA). This procedure increases the volume of the posterior airway space (PAS)—a parameter considered fundamental in OSA physiology. However, the correlation between the degree of advancement, the volume increase, and the clinical improvement in OSA is not yet clear, even in patients who undergo virtual surgical planning. Aiming to test the correlation of these parameters and the role of PAS volume changes, we present our pre- and post-operative volumetric analysis of the PAS using cone beam computed tomography (CBCT) following CAD/CAM-assisted maxillomandibular advancement. Materials and Methods: We collected information from patients who underwent MMA for moderate or severe OSA, planned virtually with custom-made devices, between 2020 and 2022 at the Maxillofacial Surgery and Odontostomatology Unit of the Policlinico Hospital in Milan. The degree of mandibular advancement (pogonion antero-posterior advancement) was noted. All patients underwent pre- and post-operative CBCT and pre- and post-operative polysomnography to measure the Apnea–Hypopnea Index (AHI) parameters. Both exams were performed within six months before and after surgery. The surgeries were planned virtually along with the production of custom-made devices (cutting guides and mandibular osteosynthesis plates). Volumetric analysis of the PAS was performed pre- and post-CBCT images using medical segmentation software (Mimics, Materialise, Mimcs 26.0). Results: Ten patients (nine men and one woman) with a mean age of 51 years were included in this study. The mean pogonion advancement was 14.5 mm, ranging from 13.8 to 15.6. The mean pre-surgical AHI was 52.31 events/h, while the mean post-surgical AHI was 5.94 events/h (SD 5.34). The improvement in AHI was statistically significant (Wilcoxon matched-pairs signed-rank test, p value 0.004). The mean pre-surgical PAS volume was 8933 mm³, while the mean post-surgical volume was 10,609 mm³. In 8 out of 10 patients, the volume increased, with a mean increase of 2640 mm³ (max. 5183, min. 951), corresponding to a percentage increase variation ranging from 78% to 6%. In two patients, the volume decreased by 1591 (−16%) and 2767 mm³ (−31%), respectively. The difference between pre- and post-operative results was not statistically significant (paired t-test, p value 0.033). Conclusions: The results obtained confirm the efficacy of virtually planned MMA performed with custom-made devices in OSA therapy. However, they also show that PAS volume should not be used as a comprehensive parameter for OSA treatment evaluation because it does not always have a positive correlation with advancement and AHI. Full article

Background/Objectives: The uneven distribution of nurses in Albania is a major problem that compromises equitable access to health services. Rural and less developed regions suffer from a chronic shortage of nursing staff, while urban areas attract health professionals. This study aims to quantify the inequalities in the distribution of nurses in Albania, analyzing the nurse-to-population ratio and its impact on the quality of healthcare. The main objective of this study is to examine the distribution of the nursing workforce in Albania and assess regional disparities, using the Gini coefficient and the Human Development Index (HDI) to measure and compare inequalities between regions. Methods: This descriptive–analytical study was conducted in 2024. The data were collected from official sources, including the Albanian Ministry of Health and the World Health Organization (WHO). The Gini coefficient and the Lorenz curve were used to analyze the distribution of nurses in relation to the population and HDI of the different regions. The analysis included data on the number of nurses, population, and regional socioeconomic conditions. Results: The average nurse-to-population ratio in Albania is 28 nurses per 10,000 inhabitants, with significant variations between regions. Tirana has the highest ratio (60 nurses per 10,000 inhabitants), while Kukës and Dibër have the lowest values (10 per 10,000 inhabitants). The calculated Gini coefficient is 0.0228, indicating a very low level of inequality in the distribution of the nursing workforce. Conclusions: Inequalities in the distribution of nurses in Albania require targeted policy interventions. Policies are needed that incentivize health workers to work in less developed regions, through economic incentives, infrastructure improvements, and lifelong learning programs. These interventions are essential to reduce disparities and ensure equitable access to health services across the country. Full article

Seasonal velocity variations can significantly impact the total energy delivered to microgrids produced by river hydrokinetic turbines. These turbines typically use a diffuser to increase the velocity at the rotor section, adding weight and raising deployment costs. There is a need for practical solutions to improve the capacity factor of such turbines. Our solution involves using multiple turbine rotors that can be interchanged to match seasonal velocity changes, eliminating shrouds to simplify design and reduce costs. This solution requires turbines that are designed to have an easily interchanged rotor, which requires us to limit the rotor to a two-blade design to also lower costs. This approach adjusts the turbine power curve with different two-blade rotor sizes, enhancing the yearly capacity factor. BladeGen ANSYS Workbench is used to design three two-blade rotors for free stream velocities of 1.6, 2.2, and 2.8 m/s. For each turbine rotor, 3D simulation is applied to reduce aerodynamic losses and target a coefficient of performance of about 45%. Mechanical stress analyses assess the displacement and stress of the used composite materials. Numerical results show good agreement with experimental data, with rotor efficiencies ranging from 43% to 45% at a tip speed ratio of 4 and power output between 5.4 and 5.6 kW. Results show that rotor interchangeability significantly enhances the turbine capacity factor, increasing it from 52% to 92% by adapting to river seasonal velocity changes. Full article