Search Results (391)

Background/Objectives: Iron deficiency affects 2% of infants under six months of age and 4–18% of infants aged 6–12 months and may lead to anemia. Given the consequences of iron deficiency in infancy and the importance of adequate nutrition, this study aimed to assess indicators of iron metabolism in infants whose parents participated in nutritional education. Methods: The study included 104 infants, divided into a study group (SG, n = 52) receiving a nutritional education intervention and a control group (CG, n = 52). Peripheral blood morphology parameters and biochemical markers, e.g., iron status (serum iron, transferrin, ferritin, and hepcidin), were evaluated at 3 and 12 months of age. Additionally, at study end, parents completed a three-day dietary diary to assess their infant’s iron intake. Results: After nearly one year of intervention, no cases of anemia based on hemoglobin concentration were identified in either group. However, infants in the SG were less likely to present iron and ferritin concentrations below reference ranges compared to the CG. In the CG, low ferritin levels occurred more frequently at 12 months than at baseline. This finding may be related to higher dietary iron intake in the SG, as insufficient iron intake was more common among the CG. Heatmap analysis revealed strong positive correlations among erythrocyte indices, confirming their internal consistency. No single parameter emerged as a superior marker of iron deficiency, emphasizing the need for a combined assessment of iron status. Conclusions: Parental nutritional education may improve iron status and reduce the risk of iron metabolism disorders in infants. Full article

Background/Objectives: Sacituzumab govitecan (SG) releases SN-38, the same active metabolite as irinotecan, thereby sharing key metabolic pathways and toxicity mechanisms. The clearance of SN-38 is strongly influenced by UGT1A1 polymorphisms, particularly the UGT1A1*28 allele. While UGT1A1*28 genotyping routinely guides irinotecan dosing, no such recommendations exist for SG. This study describes the relationship between UGT1A1*28 and severe SG-related toxicity in real-world practice, identifying early safety signals and exploring the clinical and economic impact. Methods: This retrospective observational study (2021–2025) included patients with metastatic breast cancer treated with SG and patients with advanced gastrointestinal malignancies treated with irinotecan at a tertiary hospital. In the SG cohort, genotyping followed grade ≥3 toxicity; in the irinotecan cohort, it was performed prospectively. Toxicity (Common Terminology Criteria for Adverse Events version 5.0) and healthcare costs related to hospitalizations were estimated using official institutional tariffs. Results: All nine SG patients with severe toxicity (100%) carried the UGT1A1*28 allele. In the irinotecan cohort (n = 74), which was managed with genotype-guided dosing, severe toxicity and hospitalization were less frequent. SG was associated with higher mean costs per treated patient (€2817.01 vs. €1233.63), driven by toxicity-related admissions (33.3% vs. 10.8%). Genotyping costs (€10.51) were negligible compared to daily hospitalization expenses (up to €1984.90). Conclusions: Severe SG-related toxicity reveals a consistent UGT1A1*28-associated vulnerability. Given the drug’s recent approval in Spain, these data represent an urgent real-world safety signal. The marked disparity between low genotyping costs and high hospitalization expenses supports implementing preventive UGT1A1 testing to optimize the safety and sustainability of sacituzumab govitecan therapy. Full article

This paper deals with the problem of constructing optimal difference formulas in the Hilbert space $H_2^{\left(m\right)}\left(0,1\right)$ through Sobolev’s method. Firstly, Sobolev’s method of construction of optimal difference formulas in the Hilbert space $H_2^{\left(m\right)}\left(0,1\right)$, which is based on the discrete analogue $L_h\left[\beta \right]$, is described. Secondly, a discrete analogue $L_h\left[\beta \right]$ of differential operator $\left({\displaystyle \frac{d^2}{d{x}^2}}+2\mathrm{sgn}x{\displaystyle \frac{d}{dx}}+1\right){\left[1-{\displaystyle \frac{d^2}{d{x}^2}}\right]}^{\left[m-2\right]}$ having variable coefficients is contructed. Thirdly, for $m=2$ the optimal difference formula is obtained. Finally, at the end of the paper, we present some numerical results, which serves to confirm the numerical convergence of the optimal difference formula. Full article

Photothermal therapy (PTT) is an emerging minimally invasive approach for cancer treatment that relies on photothermal agents capable of efficiently converting near-infrared (NIR) light into localized heat. In this work, silica–gold nanostructures (SGNs) were synthesized and systematically evaluated to investigate how silica core size influences the photothermal response of the SGNs and optimize their performance as a photothermal agent. SGNs were synthesized with silica cores ranging from 54 to 244 nm in diameter and coated with gold nanoparticles of 4–10 nm in size, enabling controlled tuning of their localized surface plasmon resonance within the NIR region. The morphology and composition were characterized by SEM, TEM, and EDS; optical properties were analyzed by UV-Vis spectroscopy. The SGNs photothermal response low-power laser irradiation at 852 nm and 1310 nm and temperature changes were monitored using a thermographic camera. A maximum temperature increase of 7.1 °C was observed for SGNs with a silica core diameter of approximately 77 nm under the 852 nm laser irradiation. Numerical simulations of the absorption efficiency showed good agreement with experimental UV–Vis spectra and thermal measurements, revealing a size-dependent shift of the absorption toward longer wavelengths for larger nanostructures. These results demonstrate that the photothermal response of silica–gold nanostructures can be rationally tuned through the control of core size and gold growth parameters, providing a framework for the design of wavelength-matched photothermal agents for PTT applications. Full article

This paper investigates a novel optical method that uses a high-responsivity a-Si:H photodiode for label-free detection of luminescence from HeLa cervical cancer cells excited by a blue LED. We examine the energy distribution of the energy-gap density of states (DOS) from the photodiode’s long-time transient current, which shows exponential decay kinetics in the HeLa cell reaction. We analysed the transient response of a-Si:H p-i-n photodiode upon the illumination of the analyte with a pulsed blue LED light to better understand the HeLa cells activity and the fundamental defect kinetics processes in the a-Si:H material. Results suggest that the characteristic very low-level, time-varying light response of HeLa cells is due to chemiluminescence within cells, resulting from the reaction between nitric oxide (NO) and hydrogen peroxide (H₂O₂). Given the low signal intensity and noise, we applied a Savitzky–Golay (SG) filter to post-process the data. By reducing noise without attenuating chemiluminescent peaks, the Savitzky–Golay filter enabled accurate, reproducible quantification of the photocurrent response, reflecting the kinetics of cellular reactions. Further studies and more precise measurement instruments are needed for this real-time, label-free, non-destructive method, which applies SG-filtered signal processing to microfluidic optical biosensors. Full article

Background: Sleeve gastrectomy (SG) reliably reduces weight and triglycerides, but LDL-C responses are variable. In this retrospective observational study, we evaluated whether adjunctive monacolin K (red yeast rice; 3 mg/day) improves early lipid modulation after SG. Methods: In this single-center retrospective study of women only, 149 patients undergoing SG within the national KOS-BAR program were analyzed in four groups: controls without supplementation (CG, n = 62) and three supplementation cohorts receiving monacolin K for 6 months (G1 early (from week 1; n = 46), G2 delayed (months 3–9; n = 10), and G3 delayed (months 6–12; n = 31)). Outcomes included total cholesterol (TC), LDL-C, HDL, and triglycerides (TG). Missing data were imputed; mixed models for repeated measures assessed longitudinal changes. Results: From baseline to 6 months, LDL-C-C increased in the control group (CG; +21.9 mg/dL) and decreased in G1 (mean change: −11.1 mg/dL), with a significant group-by-time interaction (p < 0.001). HDL-C increased in both CG and G1, whereas triglyceride levels decreased more markedly in G1 than in CG (−36.2 vs. −19.6 mg/dL). Total cholesterol decreased in G1 (−13.4 mg/dL) and in G2 at 9 months (−22.5 mg/dL). Conclusions: In the early supplementation group, LDL-C-C levels decreased over the first 6 months after SG, whereas an increase was observed in the control group, which had significantly lower baseline LDL-C concentrations. In women undergoing SG, early postoperative monacolin K supplementation was associated with LDL-C stabilization and enhanced lipid optimization without impeding weight-loss benefits. Delayed initiation yields partial improvements, especially for TG and HDL-C. These observations underscore the need for prospective, sex-stratified studies with appropriate baseline adjustments to clarify the association between monacolin K use and postoperative lipid trajectories after SG. Full article

Monitoring the freshness of Salmo salar within cold chain logistics is paramount for ensuring food safety. However, conventional physicochemical and microbiological assays are impeded by inherent limitations, including destructiveness and significant time latency, rendering them inadequate for the real-time, non-invasive inspection demands of modern industry. Here, we present a novel detection framework synergizing hyperspectral imaging (400–1000 nm) with the Transformer deep learning architecture. Through a rigorous comparative analysis of twelve preprocessing protocols and four feature wavelength selection algorithms (Lasso, Genetic Algorithm, Successive Projections Algorithm, and Random Frog), prediction models for Total Volatile Basic Nitrogen (TVB-N) and Total Viable Count (TVC) were established. Furthermore, the capacity of the Transformer to capture long-range spectral dependencies was systematically investigated. Experimental results demonstrate that the model integrating Savitzky-Golay (SG) smoothing with the Transformer yielded optimal performance across the full spectrum, achieving determination coefficients (R²) of 0.9716 and 0.9721 for the Prediction Sets of TVB-N and TVC, respectively. Following the extraction of 30 characteristic wavelengths via the Successive Projections Algorithm (SPA), the streamlined model retained exceptional predictive precision (R² ≥ 0.95) while enhancing computational efficiency by a factor of approximately six. This study validates the superiority of attention-mechanism-based deep learning algorithms in hyperspectral data analysis. These findings provide a theoretical foundation and technical underpinning for the development of cost-effective, high-efficiency portable multispectral sensors, thereby facilitating the intelligent transformation of the aquatic product supply chain. Full article

Industrial surface defect detection is crucial for quality control in manufacturing, yet remains challenging due to the small scale, low contrast, and texture variability of defects. While YOLOv8n offers high inference speed and efficiency, its accuracy is limited by insufficient feature representation and inadequate data diversity. This paper proposes a detection framework integrating Channel–Spatial Modulation Attention (CASM) and Small-Scale Grid Texture Shuffling Augmentation (SG-TSA) into YOLOv8n to improve detection performance without sacrificing efficiency. CASM introduces a parallel channel–spatial attention structure with adaptive fusion to better capture fine-grained defect features, while SG-TSA increases sample diversity by introducing realistic texture perturbations within defect regions. Experiments on the NEU-DET dataset show that our method improves mAP@0.5:0.95 by 3.01% and mAP@0.5 by 2.84% over baseline YOLOv8n. These results highlight the importance of architecture-specific optimization for lightweight detectors in industrial scenarios. Full article

Objective: This study evaluated the effects of a 12-week High-Intensity Functional Training (HIFT) program combined with thylakoid supplementation on plasma adipo-myokine levels (Decorin, Myostatin, Follistatin, Activin A, and TGF-β1) in men with obesity. Secondary outcomes included anthropometric indices, lipid profiles, and insulin resistance markers. Methods: Sixty men with obesity (age: 27.6 ± 8.4 years; BMI: 32.6 ± 2.6 kg/m²) were randomly assigned to four groups (n = 15 per group): Placebo (PG), Supplement (SG), HIFT + placebo (TPG), and HIFT + supplement (TSG). To ensure robustness against the 27% attrition rate, statistical analyses included both per-protocol and intention-to-treat (ITT) models. HIFT was performed for 3 sessions/week (Borg scale: 15–17). Results: Following Bonferroni correction for multiple endpoints, repeated-measures ANOVA showed significant Time × Group interactions for most adipo-myokines and metabolic markers. Both training groups (TPG and TSG) demonstrated improvements in body composition and insulin sensitivity compared to PG (p < 0.05). While no significant differences were observed between TPG and TSG for systemic metabolic markers, preliminary data suggested that thylakoid supplementation might provide modest complementary modulations in specific myokines (e.g., decorin and follistatin). However, these observed trends did not reach clinical superiority over exercise alone in the broader metabolic profile. Conclusions: Twelve weeks of HIFT is an effective primary driver for modulating the adipo-myokine network in obese men. Although thylakoid supplementation showed potential for selective complementary effects on certain myokines, these findings are exploratory given the small sample size. The clinical significance and long-term complementary value of thylakoid-exercise interactions require further validation in larger, more diverse cohorts. Full article

This study compares the two (2D)- and three-dimensional (3D) accuracy of tooth reduction depths in porcelain laminate veneer prepared using conventional and 3D-printed guide techniques. Forty 3D-printed maxillary casts were divided into four groups: freehand (FH) (n = 10), silicone guide (SG) (n = 10), cross-shaped 3D-printed guide (3D_C) (n = 10), and stackable 3D-printed guides (3D_S) (n = 10). Butt-joint veneer preparation was performed on the left central incisor. Two-dimensional analysis was performed to assess trueness using mean absolute differences (MADs) from the planned depth at eight designated points, while precision was compared within groups. Three-dimensional analysis evaluated trueness by superimposing post-preparation scans with reference casts and precision via intra-group superimposition, with deviation errors measured using the Root Mean Square (RMS) method. One-way ANOVA and Bonferroni post hoc tests were used (α = 0.05). In 2D analysis, 3D_S exhibited a significantly lower MAD than FH at most of the measured points (p < 0.05), more accurate incisal reduction at mesial and distal points compared to 3D_C (p < 0.001), and more accurate mesial (p = 0.011) and distal (p = 0.001) cervical margin preparation than SG. In the 3D trueness assessment, 3D_S exhibited significantly lower deviation errors than FH (p < 0.001) and SG (p = 0.012) while also achieving the highest overall 3D precision with the lowest RMS (0.067 ± 0.013), followed by 3D_C (0.086 ± 0.019). Veneer preparation guided by a stackable 3D-printed guide resulted in more accurate tooth reduction depths compared to the other three techniques. Full article

Background: Through the direct electrical stimulation of spiral ganglion neurons (SGNs) of the hearing nerve, cochlear implants overcome functionally impaired or missing hair cells in patients with profound to severe hearing loss. In routine clinical fitting, regions with severe local SGN degeneration (modiolar “dead regions”) cannot be identified. As a result, the electrical fields of neighboring electrodes are broadened, which can lead to increased channel interaction and, consequently, poorer speech understanding and hearing. The objective of this study was to ascertain whether neural health status can be evaluated by using cochlear implants’ inbuilt measures. Methods: Electrode impedance (MP1-, MP2-, MP1/MP2-, common ground mode), transimpedance matrix (TIM) and electrically evoked compound action potential (eCAP) measurements were performed before and after laser-induced induction of lesions on the modiolus of the guinea pig. Laser treatment-related shifts in impedance, TIM, and eCAP characteristics (threshold, amplitude, and a modified version of the failure index, referred to as the efficiency index (EI)) were correlated with the histologically assessed damage in three predefined areas of the basal modiolus within the electrode region. Results: Modiolar damage resulted in a significant reduction in the electrode impedance in MP2- and MP1/2-mode, the eCAP amplitude, and the EI. In contrast, TIM values and eCAP thresholds were significantly elevated. MP1, MP1/MP2 electrode impedance, TIM, and the eCAP thresholds were not correlated with the extent of modiolar damage. The shifts in eCAP amplitudes and the EI were significantly correlated with the damage at all regions of the basal modiolus. Conclusions: The eCAP amplitude and the EI are both capable of objectively evaluating the neural health status of the cochlea. Thus, a modiolar dead region could be expected from a local drop in eCAP amplitude values or the modified EI within the electrode array. Full article

The field experiment was carried out in the fields of the Experimental Variety Testing Station in Chrząstów, belonging to the Central Research Centre for Cultivated Plants in Słupia Wielka. The aim of the present study was to determine the effect of residual nitrogen (N_res) remaining in the soil after cultivation of three varieties of common maize fertilized with different types of nitrogen fertilizers on nitrogen-use-efficiency indicators in subsequent crops of winter and spring common wheat. Nitrogen accumulation in both wheat cultivation systems showed a significant response to the interaction between maize varieties and the type of nitrogen fertilizer applied. Urea proved to be the most consistent source of nitrogen in the grain, regardless of the maize variety used as the preceding crop or the form of nitrogen applied. Variability in nitrogen accumulation under the U + N-Lock, Super N-46, and SG Stabilo treatments was primarily associated with a marked decrease in the SC maize variety. The SC + Roots Power maize variety left the soil in a condition highly favourable for nitrogen accumulation in wheat grain across two consecutive growing seasons. Maize variety was the primary factor influencing the proportion of fertilizer-derived nitrogen in the total nitrogen accumulated in the grain. The highest recovery of fertilizer nitrogen over the two-year production cycle was obtained in the SC + Roots Power treatment fertilized with SG Stabilo. Notably, urea demonstrated the strongest residual effect on nitrogen availability to winter wheat. Full article

Vietnam faces a hyperendemic burden of hepatitis B virus (HBV) infection, but the prevalence of occult HBV infection (OBI) and its underlying molecular mechanisms in healthy populations remain poorly understood. This study aimed to characterize the serological and molecular HBV profile of a healthy Vietnamese adult cohort in Southern Vietnam. We assessed the prevalence of occult HBV infection (OBI) and HBsAg-positivity (serving as a proxy for probable chronic infection). In this cross-sectional study, 397 healthy adults from Southern Vietnam underwent serological screening for HBsAg, anti-HBs, and anti-HBc. All participants were screened for HBV DNA using a high-sensitivity PCR assay (LOD ≥ 5 IU/mL). For all viremic cases, the full Pre-S/S region was sequenced to determine genotype and characterize escape mutations. We uncovered a high prevalence of both HBsAg-positivity (17.6%) and OBI (9.3% HBsAg-negative, HBV DNA-positive). Serological analysis revealed a massive, age-dependent reservoir of past exposure (63.7% anti-HBc) characterized by a high and increasing prevalence of the anti-HBc only profile (31.5%), a key serological marker for OBI. This trend contrasted sharply with a steep age-related decline in protective anti-HBs. The viral landscape was dominated by genotypes B (73.8%) and C (26.2%), with sub-genotypes B4 and C1 being the most prevalent. Critically, individuals with OBI carried a significantly higher burden of S gene escape mutations compared to those with HBsAg-positivity (p < 0.001). Canonical escape variants, including sG145R (21.6%), sK141R/T/E/Q (24.3%), and sT116N/A/I/S (18.9%), were exclusively or highly enriched in the OBI group. A LASSO-logistic model based on this mutational profile successfully predicted occult infection with high accuracy (AUC = 0.83). A substantial hidden reservoir of occult HBV infection exists within the healthy adult population of Vietnam, driven by a high burden of S gene escape mutations. These findings highlight the significant limitations of conventional HBsAg-only screening. They also underscore the need for comprehensive molecular surveillance to address the true scope of HBV viremia, hopefully enabling a reduction in hidden transmission of clinically significant viral variants. Full article

In this work, V-Pt-Ti catalysts were synthesized employing impregnation (IP), precipitation (PC), sol-gel (SG), thermal decomposition (TD), and hydrothermal (HD) methods. A systematic study has been carried out to investigate impacts of various preparation methods on the performance of NH₃ selective catalytic oxidation (SCO) at temperatures from 150 °C to 450 °C. N₂ adsorption/desorption, XPS, XRD, H₂-TPR, NH₃-TPD, O₂-TPD, SEM, TEM, and in situ DRIFTS were adopted to characterize the physico-chemical property of V-Pt-Ti catalysts. The results suggested that V-Pt-Ti catalysts synthesized by precipitation methods (denoted as VPT-PC) exhibited notably better SCO performance across the 150–450 °C temperature range compared with those produced by impregnation (IP), sol-gel (SG), thermal decomposition (TD), and hydrothermal (HD) methods. The outstanding performance of the VPT-PC catalyst could be ascribed to its larger surface area, higher relative contents of Pt⁰, V⁵⁺, and O_α, more abundant surface acid sites, and better redox property. In situ DRIFTS results suggested that NO₂ species could participate in NH₃ oxidation reaction on the surface of the VPT-PC catalyst, which was beneficial for improving the SCO activity. Full article

Common wheat (Triticum aestivum ssp. vulgare) is one of the three basic cereal crops worldwide that plays a key role in global food security. A key factor affecting the yield and traits of common wheat is an adequate nitrogen supply. Improving the efficiency of soil nitrogen use can be achieved through the application of appropriate mineral fertilizers and the proper selection of cultivars. The aim of this study was to determine the impact of residual nitrogen (N_res) after maize cultivation (the preceding crop) on the yield and chemical composition of winter and spring wheat grain. It was shown that both the variety selection and the type of nitrogen carrier had a significant impact on the characteristics related to wheat yield and grain quality. The most stable effect of the type of nitrogen, regardless of the type of corn variety, was recorded for ammonium nitrate with N-Lock. The average yield was approximately 6.1 t ha⁻¹. With the exception of the variant with N-Lock, the most progressive reaction to the type of fertilizer occurred in the stand with a three-line corn hybrid (TC, stay green). The advantage of this corn variety as a winter wheat forecrop results from the value of the site in a site without nitrogen. In the nitrogen control, the increase in yield compared to the single corn hybrid (SC) was 14%. However, in the U + N-Lock variant, it was 17%, and SG Stabilo as much as 32%. The increase in the weight of 1000 wheat grains in the stands after the SC and TC hybrid compared to stay green + roots power indicates a compensatory mechanism that became visible in the grain filling phase. Current challenges in agriculture caused by population growth and the need to ensure sufficient food production require greater awareness and knowledge regarding improved nitrogen management, including recognizing the role of residual nitrogen remaining in the soil after the preceding crop. A major advantage of slow-release fertilizers is that the nutrient (N) is released in response to the dynamic demand of the crop. This, on the one hand, increases grain yield and, on the other, does not negatively impact the agrosystem (eutrophication). Full article