Search Results (147)

Utilization of waste tires via pyrolysis is a promising solution. The liquid hydrocarbons generated during this process could be used for enhancing low-reactivity coals for energy application. Current study investigates oxidation and combustion characteristics (including composition of gaseous combustion products) of low-reactivity coal mixed with liquid hydrocarbons from pyrolysis of waste tires with a concentration up to 20%wt at 700 °C. The oxidation tests via TG-analyzer revealed that at heating rates up to 10 °C/min, the process had one stage, associated with combined oxidation of coal-liquid hydrocarbons mixture. Starting from 10 °C/min the second stage occurred at temperature ~400 °C due to evaporation of light components of the mixture. Combustion tests at experimental setup at 700 °C revealed almost linear increase in fuel reactivity, expressed into decline in ignition delay time of mixtures (up to 71.6%) with increasing concentration of liquid hydrocarbons, while flame and diffusion combustion times were, in contrast, increasing (by up to 69.5%). Increasing concentration of additives from 2.5 to 20%wt resulted not only in change in the form of obtained mixture but also changed the combustion mechanism from predominantly heterogeneous smoldering to majorly homogeneous gas-phase ignition and combustion. Gas-phase combustion products concentration curves generally complimented previously observed peculiarities of combustion. Increased CO and NO_x concentrations in combustion products of coal mixed with liquid hydrocarbons revealed necessity in additional tailoring of burner characteristics for mitigating these effects. The compromise composition of mixture was found to include 10%wt of liquid hydrocarbons for enabling quick gas-phase ignition while maintaining moderate level of combustion products emissions. Full article

Background: Upper-extremity morbidity after breast cancer surgery—including pain, lymphedema, and restricted shoulder range of motion—often develops gradually, emerging months after treatment and limiting daily activities. We aimed to characterize morbidity trajectories, physical therapy utilization, and predictors of physical therapy use. Methods: A retrospective multicenter cohort included 1602 women treated with breast surgery 0–36 months earlier. Patient-reported outcomes included Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH), pain, range of motion limitation, axillary web syndrome, and lymphedema. Clinical variables included surgery type and nodal procedure. Outcomes were summarized across four postoperative windows (0–6, 7–12, 13–24, 25–36 months). Logistic and multinomial regression identified predictors of physical therapy uptake and timing (early, ≤3 months vs. late, >3 months; No physical therapy). Results: Anxiety declined across postoperative windows (p < 0.001), and axillary web syndrome decreased from early to later periods (p < 0.001). In contrast, range of motion restriction and decreased function remained common without significant differences between windows (p = 0.145 and p = 0.273). Pain was generally low-to-moderate by median [interquartile range], with a modest rise at 7–12 months (p < 0.001). In adjusted multinomial models (reference: Early physical therapy ≤ 3 months), higher pain was associated with No physical therapy and Late physical therapy (both p < 0.05); lymphedema with No PT and Late physical therapy (both p < 0.05); and axillary web syndrome with Late physical therapy (p = 0.001). Other symptoms (range of motion, function level, anxiety and physical activity) were not independently associated with physical therapy timing. Conclusions: Long-term postoperative morbidity is common. Early assessment and structured follow-up can mitigate its impact and should be embedded as core elements of survivorship health-promotion policy. Full article

Objectives: Neurocognitive disorders (NCDs) refer to a broad spectrum of conditions characterized by declining cognitive functions, such as memory, attention, language, and executive abilities. It is estimated that up to half of patients affected by NCDs remain undiagnosed or are diagnosed at an advanced stage of the disease. This study aimed to analyze the utility of subclinical organ damage markers, which could be used in primary care for the detection and prevention of NCD. Methods: The study participants (n = 137) completed neuropsychological tests (Addenbrooke’s Cognitive Examination/ACE and Mini-Mental State Examination/MMSE), a sociodemographic survey, an interview on past illnesses, and had their ankle-brachial index (ABI) and pulse wave velocity (PWV) values measured. Results: Based on the MMSE test, 26 participants (19.0%) were diagnosed with mild cognitive impairment (MCI) and 8 participants (5.8%) with NCDs. The study found that lower ABI values were associated with worse cognitive performance, suggesting that the ABI may be a useful tool for identifying individuals at increased risk of NCDs, while PWV cannot be used as a predictor for this group of diseases. Conclusions: Lower ABI values were associated with reduced cognitive performance, whereas PWV showed no significant relationship. The secondary findings suggest that physical activity, regular computer use, and better mental well-being were linked to improved cognitive outcomes. A low ABI value could potentially serve as a predictor of cognitive disorders, and as a diagnostic tool that is easily accessible and quick, it may improve diagnostics and the overall health of primary care patients. Health education regarding modifiable risk factors for dementia is also of crucial importance. Full article

To date, Philaenus spumarius (Linnaeus, 1758), Philaenus italosignus Drosopoulos & Remane, 2000, and Neophilaenus campestris (Fallén, 1805) are proven vectors of the phytopathogenic bacterium Xylella fastidiosa Wells et al., 1987 in Europe. Currently, the identification of these three species relies on the well-documented status of morphological and taxonomical characters, making the discrimination of vector adult males possible by genitalia comparison. This study updates the biomolecular diagnostic tests with a rapid identification tool for P. italosignus, using locked nucleic acid (LNA) probe technology. The test also overcomes the difficulties associated with the morphological identification of females and juveniles. The morphological α-taxonomic identification of the male, achieved through comparison with the type of the species, retains its primary role in specimen identification for probe building. Later, the proposed assay can contribute to the rapid identification of P. italosignus by the secondary (molecular) identification step. The new LNA qPCR test offers high reliability and reproducibility in the identification of P. italosignus instars, thus improving targeted surveys of X. fastidiosa vector populations and allowing discrimination between species collected in the field. The accurate identification and census of vector individuals, regardless of their gender and instar, enhances the efficacy of Xylella IPM-DSS (Integrated Pest Management Decision Support System) strategies. Full article

Nanotechnology has become a transformative field in modern science and engineering, offering innovative approaches to enhance conventional thermal and fluid systems. Heat and mass transfer phenomena, particularly fluid motion across various geometries, play a crucial role in industrial and engineering processes. The inclusion of nanoparticles in base fluids significantly improves thermal conductivity and enables advanced phase-change technologies. The current work examines Powell–Eyring nanofluid’s heat transmission properties on a stretched Riga plate, considering the effects of magnetic fields, porosity, Darcy–Forchheimer flow, thermal radiation, and activation energy. Using the proper similarity transformations, the pertinent governing boundary-layer equations are converted into a set of ordinary differential equations (ODEs), which are then solved using the boundary value problem fourth-order collocation (BVP4C) technique in the MATLAB program. Tables and graphs are used to display the outcomes. Due to their significance in the industrial domain, the Nusselt number and skin friction are also evaluated. The velocity of the nanofluid is shown to decline with a boost in the Hartmann number, porosity, and Darcy–Forchheimer parameter values. Moreover, its energy curves are increased by boosting the values of thermal radiation and the Biot number. A stronger Hartmann number M decelerates the flow (thickening the momentum boundary layer), whereas increasing the Riga forcing parameter Q can locally enhance the near-wall velocity due to wall-parallel Lorentz forcing. Visual comparisons and numerical simulations are used to validate the results, confirming the durability and reliability of the suggested approach. By using a systematic design technique that includes training, testing, and validation, the fluid dynamics problem is solved. The model’s performance and generalization across many circumstances are assessed. In this work, an artificial neural network (ANN) architecture comprising two hidden layers is employed. The model is trained with the Levenberg–Marquardt scheme on reliable numerical datasets, enabling enhanced prediction capability and computational efficiency. The ANN demonstrates exceptional accuracy, with regression coefficients $R\approx 1.0$ and the best validation mean squared errors of $8.52\times {10}^{-10}$, $7.91\times {10}^{-9}$, and $1.59\times {10}^{-8}$ for the Powell–Eyring, heat radiation, and thermophoresis models, respectively. The ANN-predicted velocity, temperature, and concentration profiles show good agreement with numerical findings, with only minor differences in insignificant areas, establishing the ANN as a credible surrogate for quick parametric assessment and refinement in magnetohydrodynamic (MHD) nanofluid heat transfer systems. Full article

Accurate assessment of sperm morphology is essential for artificial insemination using liquid-preserved boar semen. This study compared nine commonly used staining techniques, eosin, eosin–nigrosin, Diff-Quick^®, Hemacolor^®, Sangodiff-G^®, Spermac^®, Formol–Citrate–Rose Bengal stain, Testsimplets^®, and Methyl Violet, based on morphological assessment, cost, time efficiency, and storage stability. Each staining method was applied to 36 slides, totaling 324 samples, and evaluated four times each (1296 evaluations). Slides were analyzed four times: immediately after staining and after 1 day, 1 week, and 3 months of storage. The results indicated that Eosin was the fastest and most cost-effective method, providing strong contrast, though it increased detection of structural alterations. Eosin–nigrosin offered detailed morphology but formed colored crystals over time. Diff-Quick^® and Hemacolor^® showed good initial performance, but Hemacolor^® lost pigment clarity after 3 months (p = 0.0273). Sangodiff-G^® had poor contrast and reduced detection of abnormalities (p = 0.00229). Spermac^® delivered high contrast but was time-consuming. Formol–Citrate–Rose Bengal stain required extensive preparation and showed significant post-storage changes (p < 0.0001). Testsimplets^®, despite their high cost, suffered from declining interpretability (p < 0.0001). Methyl Violet lacked sufficient resolution and was highly unstable over time (p < 0.0001). In conclusion, Eosin emerged as the most practical and economical staining method for routine morphological evaluation of liquid-preserved boar semen. While eosin–nigrosin was also effective, its storage instability limits broader application. Other methods showed specific weaknesses, emphasizing the need to tailor stain selection to laboratory goals and constraints. Full article

The study analyzes the heterogeneous impacts of the COVID-19 pandemic on financial performance across five strategic sectors of Slovakia’s economy. Using a longitudinal dataset of 500 companies (100 per sector) spanning 2015–2022, we examine changes in profitability (ROE) and liquidity (quick ratio). The examination is made by multivariate analysis and crisis matrix visualization. The research reveals four distinct sectoral response patterns: (1) the automotive industry maintained exceptional profitability (>65% ROE) but with critically low liquidity; (2) tourism and gastronomy experienced severe profitability decline but preserved stable liquidity; (3) healthcare demonstrated conservative liquidity strengthening with modest profitability impacts; (4) metallurgy and hazard sectors showed moderate volatility patterns. We introduce a crisis matrix framework combining profitability and liquidity indicators for sectoral resilience assessment. The results are validated through PERMANOVA analysis addressing non-normal data distributions that are common in crisis periods. The results demonstrate the need for differentiated crisis support policies, challenging uniform approaches to economic resilience. The study provides empirical evidence for sector-specific vulnerability patterns. It can inform strategies for future crisis preparedness. This research contributes to the crisis management literature by demonstrating how sectoral characteristics determine financial resilience pathways. The results offer insights that are applicable to similar transition economies in Central and Eastern Europe. Full article

Olive Quick Decline Syndrome (OQDS), caused by the bacterium Xylella fastidiosa, subsp. pauca, has devastated olive groves in Italy’s Apulia region since 2013. Despite significant scientific progress, the solution remains elusive. This study investigated the link between olive tree nutritional status and OQDS severity, aiming to uncover potential mitigation strategies. We analyzed leaf nutrient profiles from olive trees in naturally infected areas, categorizing them as asymptomatic (AS), mildly symptomatic (MS), or severely symptomatic (SS). Distinct nutritional differences were observed across these groups. The integration of univariate statistical analysis, hierarchical clustering, and Principal Component Analysis (PCA) revealed a complex relationship between plant nutritional status and disease progression. Notably, the PCA results highlighted the importance of sulfur metabolism, suggesting its role in olive trees’ defense mechanisms and metabolic responses to OQDS. These results provide promising evidence with potential application for dealing with OQDS, and the question of whether plant nutritional status plays a role in the development of OQDS symptoms deserves to be further examined in depth. Full article

Assessing soil deformation leading to collapse is often conducted through a suction-controlled method, which can be time-intensive. In this study, the collapse deformation of compacted clay was investigated by conducting time-saving and convenient water content-controlled tests. The compacted clay specimens, each with a unique initial void ratio, were subjected to water retention experiments. The water content-controlled oedometer apparatus performed tests involving compression, wetting, and subsequent recompression. Observed experimental results indicate that water content has an inverse relationship with suction, with suction increasing as water content decreases, suggesting an inverse relationship between the two variables. In compression tests performed at a constant water content, water saturation increases and suction decreases as the void ratio decreases. Wetting leads to a decrease in void ratio as the saturation level rises, gradually declining along the wetting path until it aligns with the compression line of fully saturated soil. The compression lines at varying suction levels are established through theoretical analysis of water retention and water content-controlled compression test results. In addition, the collapse deformation is well predicted with a concise formula related to pore gas saturation. In this way, this study provides a quick and effective method for evaluating the hydro-mechanical properties of unsaturated soils. Full article

ZSM-22 zeolites with different Si/Al ratios (38, 50, 80) were prepared via a hydrothermal synthesis method, investigated for the catalytic dehydration of 1,3-butanediol (1,3-BDO) to butadiene (BD) at 300 °C. The catalytic performance of the synthesized materials was related to their properties and compared to a commercial ZSM-22 zeolite (Si/Al = 30). ZSM-22 (50) exhibited a quick decline in conversion, a lower BD selectivity, and higher propylene selectivity compared to the other materials, which could be attributed to the presence of strong Lewis acid sites and silanol nests. The Lewis sites favor the cracking of the intermediate 3-buten-1-ol (3B1OL) into propylene, while the silanol nests interact with the free hydroxyl group of 3B1OL, potentially inhibiting further dehydration towards BD. The highest initial BD yield of 74% was observed over ZSM-22 (80), while the highest initial BD productivity of 2.7 g_BD·g⁻¹_cata·h⁻¹ was achieved over ZSM-22 (38). After 22 h time on stream (TOS), c-ZSM-22 and ZSM-22 (38) outperformed previously reported catalysts from the literature, with productivities amounting to 1.3 g_BD·g⁻¹_cata·h⁻¹ and 1.2 g_BD·g⁻¹_cata·h⁻¹, respectively, at a site time of 6.6 mol_H+·s·mol⁻¹_1,3-BDO. Full article

The significant decline in amphibians worldwide is demanding the development of reliable techniques to save species and their genetic diversity. Considerable efforts are currently in progress to develop assisted reproductive technologies (ARTs), focusing mainly on sperm cryopreservation and in vitro fertilization (IVF). In Xenopus, a simple and efficient transgenesis method based on the intracytoplasmic injection (ICSI) of cryoconserved sperm was developed several decades ago, allowing for quick generation of large numbers of transgenic animals, for biological research. Such a methodology could be critical for the recovery of species and their genetic diversity, contributing to amphibian conservation. However, this approach raised the question of whether the sperm preservation method used with ICSI is compatible with long-term storage. To address this question, animals were generated by ICSI using a twenty-year-old cryopreserved sperm preparation. Their development, behavior, and reproduction ability were compared with those of animals obtained using a recently frozen sperm preparation and those of animals obtained via IVF using fresh semen. Although lower than with IVF, we showed that fertilization rates using ICSI after 20 years of cryopreservation are similar to those of a recent preparation, with viable offspring leading to normal F2 generation. This pioneering achievement is proof of concept for long-term sperm cryopreservation using simple and readily available technologies for the conservation of endangered amphibians. Full article

Since its first detection in 2013, Xylella fastidiosa subsp. pauca (Xfp) has caused a devastating Olive Quick Decline Syndrome (OQDS) outbreak in Southern Italy. Effective disease surveillance and treatment strategies are urgently needed to mitigate its impact. This study investigates the short-term (1.5 years) effects of thymol-based treatments on infected olive trees of the susceptible cultivar Cellina di Nardò in two orchards in Salento, Apulia region. Twenty trees per trial received a 3% thymol solution either alone or encapsulated in a cellulose nanoparticle carrier. Over two years, sap flux density and canopy-transmitted solar radiation were monitored using TreeTalker sensors, and spectral greenness indices were calculated. Xfp cell concentrations in plant tissues were quantified via qPCR. Neither thymol treatment halted disease progression nor significantly reduced bacterial load, though the Xfp cell concentration reduction increased over time in the preventive trial. Symptomatic trees exhibited increased sap flux density, though the treatment mitigated this effect in the curative trial. Greenness indices remained lower in infected trees, but the response to symptom severity was delayed. These findings underscore the need for longer-term studies, investigation of synergistic effects with other phytocompounds, and integration of real-time sensor data into adaptive disease management protocols. Full article

Background/Objectives: Hormone Replacement Therapy (HRT) is commonly prescribed to women in need to restore the deficiency of hormones. Estrogens, in particular estradiol (E2) and estriol (E3), are associated with side effects when given orally. As such, estrogen is topically applied on the skin for the delivery of the hormone. The objective of this in vitro study is to evaluate the percutaneous absorption of compounded estradiol 0.06% and bi-est E3/E2 0.1%/0.06% in aqueous and anhydrous proprietary permeation-enhancing bases, in comparison with the commercially available estradiol transdermal gel (ESTROGel^®). Methods: The In Vitro Permeation Test (IVPT) was used and validated for the objectives of this study. The strength of estradiol/estriol in five test formulations was determined using Ultra Performance Liquid Chromatography (UPLC). Results: ESTROGel exhibited a rapid increase in the rate of skin absorption of estradiol within 0.5 h post-application. This peak was followed by a rapid decline in flux within 4 h, and then a slower decline by 16 h post-application. The initial rapid increase for ESTROGel was much faster than the rate of the four test compounded formulations, which each exhibited a slow and steady increase in the rate of skin absorption of estradiol with a peak flux within 6 h, and a steady absorption within 16 h of application. Conclusions: The compounded bases facilitated a steady percutaneous absorption of estradiol, without quick peaking or declining, which is one of the desired characteristics in HRT. Compounding pharmacists and practitioners may consider estradiol compounded formulations as a viable option for hormone delivery to patients. Full article

Precision agriculture is necessary for dealing with problems like pest outbreaks, a lack of water, and declining crop health. Manual inspections and broad-spectrum pesticide application are inefficient, time-consuming, and dangerous. New drone photography and IoT sensors offer quick, high-resolution, multimodal agricultural data collecting. Regional diversity, data heterogeneity, and privacy problems make it hard to conclude these data. This study proposes a lightweight, hybrid deep learning architecture called federated LeViT-ResUNet that combines the spatial efficiency of LeViT transformers with ResUNet’s exact pixel-level segmentation to address these issues. The system uses multispectral drone footage and IoT sensor data to identify real-time insect hotspots, crop health, and yield prediction. The dynamic relevance and sparsity-based feature selector (DRS-FS) improves feature ranking and reduces redundancy. Spectral normalization, spatial–temporal alignment, and dimensionality reduction provide reliable input representation. Unlike centralized models, our platform trains over-dispersed client datasets using federated learning to preserve privacy and capture regional trends. A huge, open-access agricultural dataset from varied environmental circumstances was used for simulation experiments. The suggested approach improves on conventional models like ResNet, DenseNet, and the vision transformer with a 98.9% classification accuracy and 99.3% AUC. The LeViT-ResUNet system is scalable and sustainable for privacy-preserving precision agriculture because of its high generalization, low latency, and communication efficiency. This study lays the groundwork for real-time, intelligent agricultural monitoring systems in diverse, resource-constrained farming situations. Full article

As a typical visual foundation model, SAM has been extensively utilized for optical image segmentation tasks. However, synthetic aperture radar (SAR) employs a unique imaging mechanism, and its images are very different from optical images. Directly transferring a pretrained SAM from optical scenes to SAR image instance segmentation tasks can lead to a substantial decline in performance. Therefore, this paper fully integrates the SAR scattering mechanism, and proposes a SAR image target segmentation method guided by the SAR scattering mechanism-based visual foundation model. First, considering the discrete distribution features of strong scattering points in SAR imagery, we develop an edge enhancement morphological adaptor. This adaptor is designed to incorporate a limited set of trainable parameters aimed at effectively boosting the target’s edge morphology, allowing quick fine-tuning within the SAR realm. Second, an adaptive denoising module based on wavelets and soft-thresholding techniques is implemented to reduce the impact of SAR coherent speckle noise, thus improving the feature representation performance. Furthermore, an efficient automatic prompt module based on a deep object detector is built to enhance the ability of rapid target localization in wide-area scenes and improve image segmentation performance. Our approach has been shown to outperform current segmentation methods through experiments conducted on two open-source datasets, SSDD and HRSID. When the ground-truth is used as a prompt, SARSAM improves $mIOU$ by more than 10%, and $A{P}_{\mathrm{mask}}^{50}$ by more than 5% from the baseline. In addition, the computational cost is greatly reduced because the number of parameters and FLOPs of the structures that require fine-tuning are only 13.5% and 10.1% of the baseline, respectively. Full article