Search Results (102)

Vermicomposting is a sustainable biotechnological process that transforms organic waste through the synergistic activity of earthworms, such as Eisenia fetida, and their associated microbiota. This study evaluated bacterial and physicochemical dynamics during the vermicomposting of bovine manure by analyzing the microbial composition of the substrate and the gut of E. fetida at three time points (weeks 0, 6, and 12). The V3–V4 region of the 16S rRNA gene was sequenced, and microbial diversity was characterized using QIIME2. Significant differences in alpha diversity (observed features, Shannon index, and phylogenetic diversity) and beta diversity indicated active microbial succession. Proteobacteria, Bacteroidota, and Actinobacteriota were the dominant phyla, with abundances varying across habitats and over time. A significant enrichment of Proteobacteria, Bacteroidota, and the genera Chryseolinea, Flavobacterium, and Sphingomonas was observed in the manure treatments. In contrast, Actinobacteriota, Firmicutes, and the genera Methylobacter, Brevibacillus, Enhygromyxa, and Bacillus, among others, were distinctive of the gut samples and contributed to their dissimilarity from the manure treatments. Simultaneously, the physicochemical parameters indicated progressive substrate stabilization and nutrient enrichment. Notably, the organic matter and total organic carbon contents decreased (from 79.47% to 47.80% and from 46.10% to 27.73%, respectively), whereas the total nitrogen content increased (from 1.70% to 2.23%); these effects reduced the C/N ratio, which is a recognized indicator of maturity, from 27.13 to 12.40. The macronutrient contents also increased, with final values of 1.41% for phosphorus, 1.50% for potassium, 0.89% for magnesium, and 2.81% for calcium. These results demonstrate that vermicomposting modifies microbial communities and enhances substrate quality, supporting its use as a biofertilizer for sustainable agriculture, soil restoration, and agrochemical reduction. Full article

Background: Antimicrobial resistance (AMR) poses a significant threat to public health, especially in low- and middle-income countries (LMICs), where surveillance infrastructure is underdeveloped. Bihar, India’s third most populous state and one of its least-resourced states, has remained largely absent from national AMR monitoring initiatives. Methods: This study aimed to characterize the AMR infection landscape across five public tertiary care hospitals in Bihar over three years (2022–2024) and to assess the feasibility of integrating digital workflows for real-time microbiological reporting. Standardized antimicrobial susceptibility testing (AST) was performed on >48,000 urine, pus, and blood samples using CLSI guidelines. Facility-level data were digitized into an open-source AMR reporting system, enabling automated antibiogram generation. Results: The findings revealed substantial resistance: high resistance to beta-lactams, carbapenems, and fluoroquinolones across pathogens. For instance, E. coli sensitivity to nitrofurantoin varied from 86.5% at NMCH (Patna) to 44.7% at JLNMCH (Bhagalpur), while cephalosporin sensitivity in Klebsiella spp. dropped below 2% in several hospitals. MRSA prevalence exceeded 65% in two facilities, far above the national average of 47.8%. Digital integration led to a four-fold increase in culture testing in all facilities and improved data completeness and turnaround times. Spatial analysis and microbiology laboratory assessment revealed significant geographic disparities in diagnostic access, with facilities in remote districts facing delays of over four hours for basic testing. Conclusions: Our study is the first study from India to create such a broad, facility-associated AMR picture over time at a state level. Policy implications include the need for a state-level AMR surveillance dashboard, alignment of procurement with facility-specific resistance patterns, and routine stewardship audits. Clinically, this study demonstrates the utility of localized antibiograms for guiding empirical therapy in resource-limited settings. This study provides a scalable framework for embedding AMR surveillance into routine health system workflows in LMICs. Full article

Objectives: This study aimed to evaluate changes in the rate and spectrum of healthcare-associated infections (HCAIs) and to analyse the rate and spectrum of antimicrobial prescriptions in four long-term care facilities (LTCFs) in Graz, Austria, from 2018 to 2022 in a prospective cohort study. Methods: Nursing staff prospectively collected data on HCAIs and antimicrobial prescriptions once a week. Log-linear Poisson models for counts were applied mostly to evaluate the difference effects of the various calendar years compared to the reference year of 2018. Results: A total of 1684 infections were recorded in 720 residents during the study period. The overall annual incidence rate of HCAIs varied over time with a significant increase to 2.86/1000 resident days in 2019 and to 4.09/1000 resident days in 2022, both compared to 2018, p < 0.001. A large peak in respiratory tract infections (RTIs) occurred in winter 2021/2022 due to a large number of SARS-CoV-2 infections in all four LTCFs. Urinary tract infections (UTIs) were the most commonly recorded infections. Beta-lactams were the most frequently prescribed systemic anti-infectives. A statistically significant increase in the rate of beta-lactam prescriptions/1000 resident days occurred between 2018 and 2022 (p = 0.016), whereas a statistically significant decrease in quinolone prescriptions/1000 resident days occurred in the same time period (p < 0.001). Conclusions: The incidence rates of HCAIs varied over time with a significant increase during the COVID-19 pandemic in 2022 compared to 2018. Continued surveillance efforts are necessary to assess the effect of infection control efforts after the pandemic. Full article

This research explored the potential of pressurised liquid extraction techniques for valorising herbal orange peel dust (OPD) waste from the filter tea industry. A series of experiments were conducted, varying the temperature (120–220 °C) and solvent (water and 50% (v/v) ethanol), while pressure and time were kept constant. Afterward, the obtained extracts were analysed by LC-ESI-MS/MS for determining the chemical composition. The highest concentrations of the most dominant compounds, the antioxidants hesperidin (662.82 ± 22.11 mg/L) and naringin (62.37 ± 2.05 mg/L), were found at specific temperatures using subcritical water extraction. In silico studies indicated that these compounds could interact with sirtuin-1 and growth factor beta receptors, suggesting potential anti-ageing benefits for skin. In vitro experiments on rat hepatoma cells (H4IIE) revealed that OPD extracts had antitumor potential, inhibiting cell proliferation and altering cell morphology. These findings underscore the importance of temperature and extraction technique in obtaining antioxidant-rich extracts with pharmacological potential. The resulting extracts, obtained using green solvents, show promise for cosmetic applications, though further in vivo studies are needed to confirm their therapeutic efficacy. Full article

This paper presents the derivation of an exact solution for a damped nonlinear oscillator of arbitrary order (both integer and non-integer). A coefficient relationship was defined under which such a solution exists. The analytical procedure was developed based on the application of the Ateb (inverse beta) function. It has been shown that an exact solution exists for a specific relationship between the damping coefficient and the coefficient of the linear elastic term, and that this relationship depends on the order of nonlinearity. The exact amplitude of vibration was found to be a time-decreasing function, depending on the initial amplitude, damping coefficient, and the order of nonlinearity. The period of vibration was also shown to depend not only on the amplitude but also on both the nonlinearity coefficient and its order. For cases where the damping coefficient of the exact oscillator is slightly perturbed, an approximate solution based on the exact one was proposed. Three illustrative examples of oscillators with different orders of nonlinearity were considered: a nearly linear oscillator, a Duffing oscillator, and one with strong nonlinearity. For all cases, the high accuracy of the asymptotic solution was confirmed. Since no exact analytic solution exists for a purely nonlinear damped oscillator, an approximate solution was constructed using the solution of the corresponding undamped oscillator with a time-varying amplitude and phase. In the case of a purely cubic damped oscillator, the approximate solution was compared with numerical results, and good agreement was demonstrated. Full article

Red beetroot (Beta vulgaris L.) is a nutritionally rich root vegetable. It is a potential alternative raw material for pestil, a traditional fruit-based snack. This study aimed to develop a healthy beetroot-based pestil using traditional boiling (95 °C) and novel pretreatment methods, including thermosonication and microwave processing, with and without additional concentration steps. The effects of these methods on heat treatment period, hydroxymethylfurfural (HMF) formation, and the physicochemical, sensorial, nutritional, and chemometric profiles of pestils were evaluated. The beetroot-based snack formulated in this study was hedonically acceptable (≥5/9) and rich in essential minerals (Ca, K, Na, P, Mg) and trace elements (Zn, Fe, Mn), as determined by inductively coupled plasma–mass spectrometry. Total antioxidant capacity (CUPRAC) ranged from 113.11 to 870.78 mg Trolox^® equivalent/100 g dry matter (DM). Total phenolic, flavonoid, and betalain contents varied between 220.6–313.8 mg gallic acid equivalent/100 g DM, 365.08–517.46 mg rutin equivalent/100 g DM, and 314.40–488.66 mg/kg, respectively. Major flavonoids identified and quantified included epicatechin, rutin, isoquercitrin, taxifolin, and quercetin, while major phenolic acids identified were chlorogenic acid, ferulic acid, caffeic acid, o-salicylic acid, p-coumaric acid, and vanillin, using liquid chromatography–electrospray tandem mass spectrometry. Reducing the soluble solids content of the pestil pulp from 40 to 20 Brix degrees, in combination with thermosonication and microwave treatments, significantly shortened the processing time by 10–67%. This approach also reduced the HMF content to the limit of quantification (LOQ). Pretreatment methods significantly (p < 0.05) affected the levels of minerals and bioactive compounds in the pestils. These findings highlight the importance of process optimization to improve overall safety and the nutritional quality of the pestil. Full article

The accumulation of sugar beet (Beta vulgaris L.) root yield across Central and Eastern Europe typically occurs mostly from July to September but can vary substantially depending on precipitation patterns. When summer rainfall is insufficient, the period of intensive yield accumulation may be delayed, often affecting the technological quality of the roots. Conversely, as light and thermal conditions deteriorate in autumn, growth processes slow down, and each cultivar’s response to late-season conditions may vary. To investigate these dynamics, we examined nine sugar beet cultivars (Zeltic, Pacific, Mariza, Everest, BTS 2205N, Jaromir, Jantar, Eliska KWS, and Klara) under three harvest dates (8–10 September—first date; 7–8 October—second date; and 3–5 November—third date) during the 2020–2021 growing seasons. Both cultivar and harvest timing had a significant impact on root yield, sucrose content, and the concentrations of molasses-forming elements (K, Na, and α-amino N), though the magnitude of these effects strongly depended on weather conditions. In 2020, which was characterized by very high precipitation in June and August, harvesting in early September resulted in optimal yield for most cultivars, with no significant benefit from delaying harvest. However, in 2021, when precipitation was moderate and more evenly distributed, later harvest dates enhanced both yield and sucrose content in several cultivars (e.g., Eliska KWS and Jantar). Among all cultivars tested, Eliska KWS consistently demonstrated high root yield and sucrose content. The sucrose content in the roots was strongly influenced by weather conditions in each study year. In 2021, which had average water availability, sucrose content was high, and delaying the harvest led to an increase in sucrose content while reducing molasses-forming elements in the roots. In contrast, in 2020, during summer rainfall, the effect of harvest date on quality traits was significantly weaker and largely dependent on the cultivar. These findings underscore that choosing the optimal harvest date is highly site- and season-dependent, shaped by precipitation distribution, late-season temperatures, and cultivar genotype. In practical terms, these results can help producers and sugar processors align harvest schedules with local conditions to optimize both root yield and technological quality. Full article

Due to the routine use of endovascular revascularization and improved medical therapy, the majority of acute coronary syndrome (ACS) cases now have an uncomplicated course. However, in spite of the currently accepted secondary prevention standards, the residual risk of remote major adverse cardiovascular events (MACEs) after ACS remains high. Ultrasound carotid/subclavian atherosclerotic plaque assessment may represent an alternative approach to estimate the MACE risk after ACS and to control the quality of secondary prevention. Aim: To find the most important clinical predictors of MACEs in contemporary patients with predominantly uncomplicated ACS treated according to the Guidelines, and to study the potential of the longitudinal assessment of quantitative and qualitative ultrasound carotid/subclavian atherosclerotic plaque characteristics for MACE prediction after ACS. Methods: Patients with ACS, obstructive coronary artery disease (CAD) confirmed by coronary angiography, and carotid/subclavian atherosclerotic plaque (AP) who underwent interventional treatment were prospectively enrolled. The exclusion criteria were as follows: death or significant bleeding at the time of index hospitalization; left ventricular ejection fraction (EF) <30%; and statin intolerance. The clinical variables potentially affecting cardiovascular prognosis after ACS as well as the quantitative and qualitative AP characteristics at baseline and 6 months after the index hospitalization were studied as potential MACE predictors. Results: A total of 411 primary patients with predominantly uncomplicated ACS were included; AP was detected in 343 of them (83%). The follow-up period duration was 450 [269; 634] days. MACEs occurred in 38 patients (11.8%): seven—cardiac death, twenty-five—unstable angina/acute myocardial infarction, and six—acute ischemic stroke. In multivariate regression analyses, the most important baseline predictors of MACEs were diabetes (HR 2.22, 95% CI 1.08–4.57); the decrease in EF by every 5% from 60% (HR 1.22, 95% CI 1.03–1.46); the Charlson comorbidity index (HR 1.24, 95% CI 1.05–1.48); the non-prescription of beta-blockers at discharge (HR 3.24, 95% CI 1.32–7.97); and a baseline standardized AP gray scale median (GSM) < 81 (HR 2.06, 95% CI 1.02–4.19). Among the predictors assessed at 6 months, after adjustment for other variables, only ≥ 3 uncorrected risk factors and standardized AP GSM < 81 (cut-off value) at 6 months were significant (HR 3.11, 95% CI 1.17–8.25 and HR 3.77, 95% CI 1.43–9.92, respectively) (for all HRs above, all p-values < 0.05; HR and 95% CI values varied minimally across regression models). The baseline quantitative carotid/subclavian AP characteristics and their 6-month longitudinal changes were not associated with MACEs. All predictors retained significance after the internal validation of the models, and models based on the baseline predictors also demonstrated good calibration; the latter were used to create MACE risk calculators. Conclusions: In typical contemporary patients with uncomplicated interventionally treated ACS, diabetes, decreased EF, Charlson comorbidity index, non-prescription of beta-blockers at discharge, and three or more uncontrolled risk factors after 6 months were the most important clinical predictors of MACEs. We also demonstrated that a lower value of AP GSM reflecting the plaque vulnerability, measured at baseline and after 6 months, was associated with an increased MACE risk; this effect was independent of clinical predictors and risk factor control. According to our knowledge, this is the first demonstration of the independent role of longitudinal carotid/subclavian AP GSM assessment in MACE prediction after ACS. Full article

African swine fever (ASF), a highly contagious and lethal viral disease, continues to devastate the global swine industry. The emergence of ASF virus (ASFV) variants with varying genomic deletions poses significant challenges for ASF control. This study presents a novel, sensitive, and reliable quadplex real-time PCR assay for detecting ASFV variants lacking key genes (I177L, EP402R, and MGF360-14L), either individually or in combination. The assay targets conserved regions within these genes, ensuring broad coverage of diverse ASFV genotypes. A porcine beta-actin (ACTB) internal control was incorporated to minimize false-negative results. Optimization and evaluation using spike-in tests demonstrated high sensitivity, with a limit of detection (LOD) ranging from 1 to 10 plasmid copies or 0.1 TCID₅₀ of ASFV isolates per reaction. No cross-reactivity was observed when testing serum samples from pigs infected with other common swine viruses. Further validation across a diverse panel of samples, including those from naturally ASFV-infected field pigs (n = 54), experimentally ASFV-infected pigs (n = 50), PBS-inoculated pigs (n = 50), ASFV-free field pigs (n = 100), and feral pigs (n = 6), confirmed 100% specificity. This robust assay provides a valuable tool for rapid and accurate ASF surveillance and control efforts, facilitating the timely detection and mitigation of outbreaks caused by emerging ASFV variants. Full article

This study evaluated electroencephalogram [EEG] and cardiovascular correlation of sevoflurane anesthesia in healthy beagle dogs at varying minimum alveolar concentration (MAC) multiples. Processed EEG indices (Patient State Index [PSI], burst suppression ratio [SR], and Spectral Edge Frequency [SEF95], cardiovascular parameters (mean blood pressure [MBP], heart rate [HR]), and responses to noxious (electrical) stimuli were recorded. Deep anesthesia (2.5x MAC) resulted in the lowest PSI and MBP values (13.5 ± 9.9, 42.2 ± 7.4 mmHg, respectively), the highest SR (52.7 ± 35.4%), and dominant burst suppression. Surgical anesthesia (1.5x MAC) was characterized by alpha/low beta waves and the absence of response to noxious stimuli. At 1x MAC (2.1%), PSI and MBP increased (41.9 ± 12.6, 119.9 ± 17.7, respectively) while SR decreased (7.1 ± 13%). A moderate PSI-MBP correlation (ρ = 0.48, p = 0.002) was observed. Recovery was acceptable or smooth in most dogs. These findings suggest that sevoflurane disrupts cortical communication, inducing anesthesia and antinociception and that real-time EEG monitoring may aid in titrating sevoflurane delivery in conjunction with MBP. Full article

In the present study, we investigated the association of genetic predisposition with specific dimensions of dementia pathophysiology for global and domain-specific cognitive decline in older adults. The sample was drawn from the Hellenic Longitudinal Investigation of Aging and Diet (HELIAD) study, comprising 512 cognitively normal individuals over 64 years of age, with a mean follow-up of 2.9 years. Cognitive function was evaluated through a neuropsychological test battery, while genetic predisposition was assessed based on two distinct Polygenic Risk Scores (PRS) for amyloid-beta 42 (Aβ₄₂) and white matter hyperintensities (WMH). The association of each PRS with the cognitive decline rate was examined using generalized estimating equation models. In the whole sample, higher PRSs Aβ₄₂ (β = −0.042) and WMH (β =−0.029) were associated with a higher rate of global cognitive decline per year, an association which remained significant in age, sex, and education subgroups. Moreover, higher PRSs Aβ₄₂ and WMH were related to significant memory decline only in females, older, and highly educated participants. Thus, while the association of both PRSs with global cognitive decline over time was independent of age, sex, or education, the relationship of the specific PRSs with the memory decline rate appeared to vary depending on these factors. Full article

Background and Clinical Significance: Cardiomyopathy is a significant cause of mortality in patients with Duchenne muscular dystrophy (DMD). Key prognostic factors include the age of onset of cardiomyopathy, low body mass index (BMI), and poor respiratory function. Detection of cardiac abnormalities can be challenging, which complicates timely diagnosis and treatment. Common treatments for heart failure include ACE inhibitors, beta-blockers, and mineralocorticoids. However, their effectiveness can vary, and the progression of cardiomyopathy may differ from one patient to another. Ongoing research aims to identify better therapeutic strategies and biomarkers for early intervention, ultimately improving the quality of life for patients affected by cardiomyopathy. New medications for heart failure, such as sodium/glucose co-transporter 2 inhibitors (SGLT2i) and valsartan/sacubitril (V/S), have been proposed, but their safety and efficacy in DMD patients remain unknown. Case Presentation: We present two cases that illustrate the histories of two patients who experienced different outcomes. The management of the first patient was complicated by several factors, including an early onset of cardiomyopathy, intolerance to ACE inhibitors, and untreated scoliosis, which hindered the implantation of a cardioverter defibrillator (ICD). Unfortunately, he only benefited from dapagliflozin in the later stages of his cardiomyopathy. Neurological complications further exacerbated the advanced state of his disease. In contrast, the second patient adhered to all recommended therapies, including innovative medications, and he currently has compensated heart failure. Conclusions: We concluded that several factors, beyond genetic ones, may have influenced their prognosis, including updated guidelines for cardiomyopathy treatment and the utilization of innovative medications. Full article

The capital asset pricing model (CAPM) is a foundational asset pricing model that is widely applied and holds particular significance in the globally influential Chinese stock market. This study focuses on the banking sector, enhancing the performance of the CAPM and further assessing its applicability within the Chinese stock market context. This study incorporates a heterogeneous autoregressive (HAR) component into the CAPM framework, developing a CAPM-HAR model with time-varying beta coefficients. Empirical analysis based on high-frequency data demonstrates that the CAPM-HAR model not only enhances the capability of capturing market fluctuations but also significantly improves its applicability and predictive accuracy for stocks in the Chinese banking sector. Full article

Kojic acid is a secondary metabolite with strong chelating and antioxidant properties produced by Aspergillus flavus and A. oryzae. Although antioxidants and chelators are important virulence factors for plant pathogens, the ecological role of kojic acid remains unclear. We previously observed a greater gene expression of antioxidants, especially kojic acid, by non-aflatoxigenic A. flavus when co-cultured with aflatoxigenic A. flavus. Aflatoxin production was also reduced. In this study, we investigated kojic acid production in 22 A. flavus isolates from Louisiana and compared them to four common A. flavus strains in liquid medium and on corn kernels. Corn kernel infection was assessed by quantifying the maize beta tubulin DNA content of the kernels using drop digital PCR (ddPCR). Maize beta tubulin DNA content decreased with increased corn kernel infection. Greater kojic acid production by A. flavus isolates coincided with greater levels of corn kernel infection. All isolates produced 60 and 700 times more kojic acid than aflatoxin and cyclopiazonic acid (a known virulence factor), respectively, which varied among sclerotial size categories. A. flavus strains with small sclerotia, which were rarely isolated from corn, produced the least kojic acid and infected corn kernels the least, while medium and large sclerotia strains—mainly isolated from corn—produced the most kojic acid and were more infectious. Non-aflatoxigenic isolates from Louisiana produced the most kojic acid. These results suggest that kojic acid is a potential virulence factor and may increase the pathogenic success of medium and large sclerotia-producing A. flavus, which could ultimately lead to more effective A. flavus biocontrol strains. Further studies are required to determine the effects that kojic acid has on the redox environment during corn infection and how the altered redox environment decreases aflatoxin production. Full article

Background: Recent studies have described unique aspects of default mode network connectivity in patients with idiopathic generalized epilepsy (IGE). A complete background in this field could be gained by combining this research with spectral analysis. Objectives: An important objective of this study was to compare linear connectivity and power spectral densities across different activity bands of patients with juvenile absence epilepsy (JAE), juvenile myoclonic epilepsy (JME), generalized tonic–clonic seizures alone (EGTCSA), and drug-resistant IGE (DR-IGE) with healthy, age-matched controls. Methods: This was an observational case–control study. We performed EEG spectral analysis in MATLAB and connectivity analysis with LORETA for 39 patients with IGE and 12 drug-resistant IGE (DR-IGE) and healthy, age-matched subjects. We defined regions of interest (ROIs) from the default mode network (DMN) and performed connectivity statistics using time-varying spectra for paired samples. Using the same EEG data, we compared mean power spectral density (PSD) with epilepsy subgroups and controls across different activity bands. Results: We obtained a modified value for the mean power spectral density in the beta band for the JME group as follows. The connectivity analysis showed that, in general, there was increased linear connectivity in the DMN for the JAE, JME, and EGCTSA groups compared to the healthy controls. Reduced linear connectivity between regions of the DMN was found for DR-IGE. Conclusions: Spectral analysis of electroencephalography (EEG) for generalized epilepsy syndromes seems to be less informative than connectivity analysis for DMN. DMN connectivity analysis, especially for DR-IGE, opens up the possibility of finding biomarkers related to drug response in IGE. Full article