Search Results (143)

Omphalocele is a congenital abdominal wall defect whose underlying muscular and fascial structural characteristics remain incompletely understood. This study aimed to investigate the anatomical and ultrastructural features of the abdominal wall in patients with omphalocele to provide additional insight into tissue organization at the defect margins. We report a series of 11 term-born patients diagnosed with omphalocele between 2024 and 2025 who were admitted to a pediatric surgery department for operative management. Following informed consent from legal guardians, two small intraoperative biopsies were obtained during surgical repair from the rectus abdominis muscle and its anterior aponeurosis, sampled from the supraumbilical and subumbilical regions. Tissue specimens were fixed within 48 h and analyzed using conventional histopathology and scanning electron microscopy to assess potential structural and ultrastructural alterations. The combined microscopic approaches allowed for a detailed evaluation of muscle and aponeurotic architecture in different abdominal regions. These observations contribute to a more comprehensive understanding of abdominal wall tissue characteristics in omphalocele and may support improved interpretation of the structural changes associated with this congenital condition. Full article

Background/objectives: Chronic degenerative complications of diabetes, such as atherosclerotic cardiovascular disease and chronic kidney disease, contribute to an increased morbimortality in patients with type 2 diabetes (T2D), and thus, a multifactorial approach becomes essential. Among the classes of antihyperglycemic agents with beneficial pleiotropic cardiorenal effects, the glucagon-like peptide-1 receptor agonists (GLP-1 RAs) have proven to reduce the risk of major adverse cardiovascular (CV) and renal events. This study aims to assess the impact of treatment with GLP-1 RA on CV risk factors, insulin sensitivity, and renal function in Romanian patients with T2D. Methods: In an observational retrospective study, 150 patients with T2D were evaluated at the start of therapy with a GLP-1 RA and then after 6 and 12 months. Results: After 12 months of treatment, 59.3% of patients succeeded in achieving weight loss of over 5% of their initial weight, and 24.7% of patients achieved weight loss of over 10% of their initial weight, with the most significant decrease being measured in the first 6 months. HbA1c has shown a similar profile, with a significant reduction in the first 6 months of treatment, continued at a slower rate in the following 6 months. Additionally, the lipid profile, blood pressure values, and uric acid values, alongside the triglyceride/high-density lipoprotein cholesterol (TG/HDLc) ratio and the triglyceride–glucose (TyG) index have improved in these T2D patients treated with GLP-1 RA, while their eGFR decrease was slower than the one expected for similar populations without such a pharmacologic agent in their regimen. Conclusions: Treatment with GLP-1 RA in patients with T2D is associated with an improved cardiovascular–kidney–metabolic risk profile, ameliorated glycemic control, reduced weight, lower insulin resistance, and slower kidney disease progression. Full article

Boron (B) remains one of the least understood trace elements in human nutrition. Traditionally regarded as non-essential, its biological role has been reevaluated in light of emerging microbiome research. We provide a narrative synthesis of mechanistic, preclinical, and clinical studies to assess whether the colonic actions of B meet accepted criteria for nutritional essentiality. This review revisits B bioavailability through a dual-pathway framework distinguishing plasma-accessible boron (PAB)—small, fully absorbable species with transient systemic effects—from microbiota-accessible boron complexes (MABCs)—indigestible conjugates that reach the colon intact. Evidence indicates that PAB exerts short-term metabolic modulation, whereas MABCs act as prebiotic cofactors that stabilize microbial quorum sensing (autoinducer-2–borate; AI-2B), reinforce the colonic mucus barrier through borate–diol crosslinking, and support host–microbiota symbiosis. Deficiency or low intake of MABCs leads to dysbiosis, barrier fragility, and low-grade inflammation along gut–organ axes—effects reversible by MABC-rich diets. Analytical and clinical tools are proposed to discriminate between PAB and MABC pathways, including fecal B/speciation, AI-2B assays, and mucus-penetration markers. Recognizing B’s essentiality as a microbiota-dependent nutrient reframes its nutritional assessment, guiding future dietary guidelines and prebiotic design toward the microbiome–mucus interface. Full article

Longmaxi shale is one of major and earliest shale gas formations in China, which hosts significant reserves and produces substantial amounts of natural gas. A thorough understanding of how mineral composition and geomechanical properties govern fracture initiation and propagation in the Longmaxi shale is therefore essential in designing hydraulic fracturing operations. In this study, nine core samples from different layers of the Longmaxi shale in Well A at Sichuan Basin were collected and a series of experiments were conducted, including X-ray diffraction, triaxial and uniaxial compression tests, brittleness index assessment, scanning electron microscopy, and nuclear magnetic resonance. Results reveal that samples from layers S6–S9 are rich in clay minerals, whereas layers S1–S5 are dominated by siliceous minerals. From the top to the bottom of the reservoir, a noticeable increase presents in total organic carbon (TOC), porosity, natural gas content, and silica mineral proportion. Young’s modulus shows a positive correlation with silicon mineral content but a negative correlation with clay content. Under high-stress conditions, shale with low quartz content tends to exhibit ductility, which inhibits fracture propagation. Quantitative models were established to predict brittleness and interpret the mechanical behavior of marine shale reservoirs. Full article

Background/Objectives: Primary implant stability depends on cortical bone thickness. While alveolar cortices are well studied, little is known about the nasal floor and lateral wall, which may provide alternative anchorage in atrophic maxillae. Methods: This retrospective, multicenter study analyzed 149 anonymized CBCT scans (83 women, 66 men; mean age 52.6 ± 13.5 years). Cortical thickness was measured at six reproducible anatomical points (A–F) defined by chosen landmarks. Measurements were taken on coronal planes aligned with implant anchorage point of interest (POI) using gray-value thresholding. Intra- and inter-observer reliability was excellent (ICC = 0.89 and 0.84). Post hoc power analysis confirmed >80% power to detect 0.15 mm differences. Non-parametric tests and mixed-effects models assessed variability and risk factors. Results: Thickness varied significantly by site (p < 0.001). The thickest cortices were at point A (median 1.36 mm, IQR 1.10–1.61) and point F (1.35 mm, 1.14–1.57), the thinnest at point B (1.15 mm, 0.96–1.32). Cortical thickness was slightly lower in men (p = 0.048) and decreased with age (−0.005 mm/year, p = 0.010). No significant associations were detected with smoking, diabetes, or thyroid disease. Conclusions: The anterior nasal spine and lateral wall near the sinus junction provide the greatest cortical thickness, supporting their use as potential implant anchorage sites in atrophic maxillae. Full article

The mechanical properties of dental implants are critical for their durability. The purpose of this study was to determine the maximum force required to induce full pull-out of a titanium implant from the bone and to characterize the mechanical behavior during this process. First, pull-out tests were performed on monolithic implants embedded in bovine ribs and foam blocks that mimic the mechanical parameters of human bone, allowing a quantitative evaluation of implant–bone interface strength and a comparison of geometric variants. Second, the extraction process was recreated in a three dimensional finite element model incorporating nonlinear interface contact and parameterization, enabling the reproduction of load–displacement curves; the results obtained showed good agreement with the experiment. Third, the fracture surfaces were observed macroscopically and by scanning electron microscopy/energy dispersive spectroscopy. The results demonstrated significant distinctions in the forces required to extract implants with varying thread geometries, clearly indicating the impact of implant design on their mechanical stability. The presented FEM-based methodology provides a reliable tool to study mechanical interactions at the implant–bone interface. The findings obtained can improve our understanding of implant behavior in biological systems and provide a basis for further optimization of their design. Full article

Background and Objectives: Metabolic dysfunction-associated steatotic liver disease (MASLD) is closely linked with type 2 diabetes mellitus (T2D) and obesity. Despite its growing prevalence, effective pharmacological interventions remain limited, with antidiabetic agents such as glucagon-like peptide-1 receptor agonists (GLP-1 RA) and sodium-glucose cotransporter-2 inhibitors (SGLT2i) showing emerging promise. This study aimed to evaluate the impact of different antidiabetic therapies on hepatic steatosis, fibrosis, and cardiometabolic risk factors in patients with T2D and MASLD from Romania. Materials and Methods: We conducted a prospective observational study involving 256 patients with T2D and MASLD followed up for 6 months. Assessed parameters included anthropometry, glycemic indices, lipid profile, renal function, liver enzymes, and non-invasive evaluation of hepatic steatosis and fibrosis. Patients were 53% women, had a median age of 63 years, a median BMI of 32.2 kg/m², a median baseline CAP of 281 dB/m, a FibroScan of 8.9 kPa, and an HbA1c of 8.0%. Results: CAP decreased significantly from 281 to 245 dB/m, p < 0.0001; FibroScan from 8.9 to 8.0 kPa, p < 0.0001. The largest changes were observed in the GLP-1 RA subgroup (CAP −50 dB/m, FibroScan −1.0 kPa, weight −8.0 kg, HbA1c −0.7%), and in the SGLT2i subgroup (CAP −30.5 dB/m, FibroScan −0.7 kPa, weight −4.0 kg, HbA1c −0.5%). In regression analysis, independent factors associated with CAP improvement included GLP-1 RA therapy (β = 44.5, 95% CI 38.3–50.6, p < 0.0001), SGLT2i therapy (β = 23.4, 95% CI 15.7–31.1, p < 0.0001), and ≥10% weight loss (β = 23.2, 95% CI 12–34.4, p < 0.0001). For FibroScan improvement, GLP-1 RA (β = 1.0, 95% CI 0.8–1.2, p < 0.0001) and SGLT2i (β = 0.5, 95% CI 0.3–0.7, p < 0.0001) therapies were both significant. Conclusions: Antidiabetic therapy, particularly GLP-1 RA, was significantly associated with improvement in hepatic steatosis, fibrosis, and cardiometabolic risk in T2D patients with MASLD beyond the weight reduction effect. However, weight loss and lipid modulation enhance these benefits, supporting the development of integrated therapeutic strategies for this high-risk population. Full article

The aim of the present study was to test the prediction ability of three different supervised chemometric algorithms, such as linear discriminant analysis (LDA), k-nearest Neighbor (k-NN) and artificial neural networks (ANNs), for fruit juice classification and differentiation, based on isotopic and multielemental content. To accomplish this, a large experimental dataset was analyzed using inductively coupled plasma mass spectrometry (ICP-MS) together with isotope ratio mass spectrometry (IRMS), and a low data fusion approach was applied. Three classifications were tested, namely the following: (i) fruit differentiation of different juice types; (ii) apple and orange juice differentiation; and (iii) distinguishing between processed versus directly pressed apple juices. The results demonstrated that ANNs can offer the most accurate results, compared with LDA and k-NN, for all three cases of classification, highlighting once again the advantages of deep learning models for modeling complex data. The work revealed the higher potential of advanced chemometric methods for accurate classification of fruit juices, compared with traditional approaches. This approach could represent a realistic tool for ensuring the juice’s quality and safety, along with complying with regulations and combating fraud. Full article

Recently, the market for miniaturized Unmanned Agricultural Robots has experienced rapid development worldwide, driven by advances in robotics, artificial intelligence and precision agriculture. These technologies are no longer confined to highly industrialized countries but are increasingly penetrating emerging economies, including Romania, where they hold significant potential for transforming farming practices and entrepreneurial competitiveness. The purpose of the present paper is to present strategies for enhancing the competitive advantage of agricultural entrepreneurs in Romania’s Central Region. This is achieved by leveraging competitive advantage through value creation, specifically by deepening strategies for the rapid integration of new miniaturized robotic products. The research employed a mixed-methods approach, combining qualitative and quantitative techniques to investigate the ability of key stakeholders—agricultural entrepreneurs, precision agriculture product/service providers, institutional representatives, and investors—to dynamically adapt to evolving market conditions. The study’s findings reveal a strong interest and readiness among precision agriculture stakeholders to adopt advanced technologies, supported by robust operational knowledge management practices including external knowledge acquisition, strategic partnerships and data protection. Although agricultural entrepreneurs exhibit considerable adaptive and absorptive capacities—evidenced by their openness to innovation and collaboration—persistent barriers such as high equipment costs and limited financing access continue to impede the broad adoption of miniaturized robotic solutions. The study concludes by emphasizing the need for supportive policies and collaborative financing models and it suggests future research on adoption dynamics, cross-country comparisons and the role of education in accelerating agricultural robotics. Full article

Background: Clostridium difficile colonization (CDC) represents a clinical concern in oncology patients undergoing abdominopelvic surgery, particularly regarding the potential role of prophylactic antibiotics in preventing progression to active infection. Methods: We performed a single-center, retrospective, case-matched observational study of oncology patients with CDC who underwent abdominopelvic surgery between 2018 and 2023. Patients were divided into two cohorts: those who received prophylactic antibiotics and those who did not. Postoperative outcomes were compared using propensity score matching (PSM). Logistic regression and ROC curve analysis were applied to assess the predictive value of antibiotics relative to other comorbidities. Results: Ninety patients were included (62 with antibiotics; 28 without). In the unmatched cohort, patients receiving antibiotics showed a non-significant trend toward higher morbidity (32.2% vs. 21.4%, p = 0.327) and surgical site infection rates (9.6% vs. 0%, p = 0.171). After PSM (26 patients per group), morbidity remained comparable between cohorts (30.7% vs. 23.0%, p = 0.538). Notably, no patient developed active C. difficile infection during follow-up, regardless of antibiotic use. Antibiotic therapy was not an independent predictor of postoperative morbidity (OR 1.746, p = 0.297; AUC 0.549, 95% CI 0.405–0.687). Conclusions: In this study, prophylactic antibiotic use in CDC patients undergoing abdominopelvic oncology surgery was not associated with improved postoperative outcomes. While no progression to active infection was observed, the potential benefits of prophylaxis remain uncertain. Larger, prospective studies are needed to clarify the clinical role of antibiotics in this setting. Full article

Magnetically separable TiO₂-based composite photocatalysts have gained significant interest in the past two decades; however, the optimization of their synthesis and the stabilization of the magnetic iron oxide within the composite is still an open challenge. The present study investigates the photocatalytic behavior and recyclability of TiO₂-Fe₃O₄ composites, with emphasis on a possible correlation between pollutant degradation efficiency, recyclability, iron oxide stability, and the phase composition of the chosen TiO₂ base. Magnetite nanoparticles were synthesized under varied temperature and alkaline conditions to identify optimal parameters for achieving the desirable magnetic properties. The magnetic nanoparticles were integrated into composite systems with either commercial TiO₂ (Evonik Aeroxide P25 with anatase–rutile mixed phase) or a hydrothermally synthesized anatase TiO₂. The P25-based composite removed 99% paracetamol from aqueous solutions under UV-A irradiation and demonstrated successful recyclability, maintaining 96% paracetamol degradation efficiency after four uses. In contrast, the anatase TiO₂-based magnetic composite exhibited a lower performance (70%) and a significantly hindered recyclability (45% after four cycles). The difference in performance was attributed to variations in the phase composition of the employed TiO₂ in the composites and, consequently, in their charge separation mechanisms. Full article

Co_0.95R_0.05Fe₂O₄ nanoparticles were synthesized using a sol-gel approach incorporating bio-based agents and were found to be single phases adopting a cubic Fd-3m structure. XPS shows the presence of Gd³⁺ and Ho³⁺ ions. The spin–orbit splitting of about 15.4 eV observed in Co 2p core-level spectra is an indication that Co is predominantly present as Co³⁺ state, while the satellite structures located at about 6 eV higher energies than the main lines confirm the existence of divalent Co in Co_0.95R_0.05Fe₂O₄. The positions of the Co 3s and Fe 3s main peaks obtained by curve fitting and the exchange splitting obtained values for Co 3s and Fe 3s levels point to the high Co³⁺/Co²⁺ and Fe³⁺/Fe²⁺ ratios in both samples. The saturation magnetizations are smaller for the doped samples compared to the pristine ones. For theoretical magnetization calculation, we have considered that the heavy rare earths are in octahedral sites and their magnetic moments are aligned antiparallelly with 3d transition magnetic moments. ZFC-FC curves shows that some nanoparticles remain superparamagnetic, while the rest are ferrimagnetic, ordered at room temperature, and showing interparticle interactions. The M_S/Ms ratio at room temperature is below 0.5, indicating the predominance of magnetostatic interactions. Full article

Co_0.95R_0.05Fe₂O₄ nanoparticles with R = La, Pr, Nd, Sm, and Eu were synthesized via an environmentally friendly sol–gel method. The prepared samples were studied using X-ray diffraction measurements (XRD), transmission electron microscopy (TEM), X-ray photoelectron microscopy (XPS), and magnetic measurements. All compounds were found to be single phases adopting a cubic Fd-3m structure. EDS analysis confirmed the presence of Co, Fe, R, and oxygen in all cases. The XPS measurements reveal that the Co 2p core-level spectra are characteristic for Co³⁺ ions, as indicated by the 2p_3/2 and 2p_1/2 binding energies and spin–orbit splitting values. The analysis of the Fe 2p core-level spectra reveals the presence of both Fe³⁺ and Fe²⁺ ions in the investigated samples. The doped samples exhibit lower saturation magnetizations than the pristine sample. Very good agreement with the saturation magnetization values was obtained if we assumed that the light rare-earth ions occupy octahedral sites and their magnetic moments align parallel to those of the 3d transition metal ions. The ZFC-FC curves indicate that some nanoparticles remain superparamagnetic, while others exhibit ferrimagnetic ordering at room temperature, suggesting the presence of interparticle interactions. The M_r/M_s ratio at room temperature reflects the dominance of magnetostatic interactions. Full article

Nowadays, food traceability represents an important issue in the current context of trade agreements, which influence global food prices. Many consumers prefer to pay a higher price for a traditional cultivation regime of a certain food product that comes from a certain region, appreciating the taste of the respective foodstuff. The potato is now the world’s fourth most important food crop in terms of human consumption, after wheat, maize, and rice. In this context, 100 potato samples from the Romanian market were collected. While 68 samples came from Romania, the rest of the 32 were from abroad (Hungary, France, Greece, Italy, Germany, Egypt, and Poland). The countries selected for potato sample analysis are among the main exporters of potatoes to the Romanian market. The samples were investigated by their multi-elemental and isotopic (²H, ¹⁸O and ¹³C) fingerprints, using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Isotope Ratio Mass Spectrometry (IRMS). Then, to distinguish the geographical origin, the experimental results were statistically processed using linear discriminant analysis (LDA). The best markers that emphasize Romanian potatoes were identified to be δ¹³C_bulk, δ²H_water, and Sr. Full article