Search Results (439)

Understanding the molecular basis of endometrial receptivity is crucial for improving implantation outcomes in assisted reproduction, especially for patients with recurrent implantation failure (RIF). This study investigates the timing relationship between microRNA (miRNA) and messenger RNA (mRNA) profiles in the endometrium using simultaneously the endometrial receptivity array (ERA) and the microRNA receptivity assay (MIRA) in 100 RIF patients undergoing euploid blastocyst transfer. The concordance rate between ERA and MIRA was 72% (Kappa = 0.50), suggesting partial overlap in profiling. Patients were stratified by the timing sequence of miRNA relative to mRNA into Fast, Equal, and Slow groups. Those with delayed miRNA expression (Slow group) had significantly lower pregnancy rates (54.5%) than those with synchronous or leading miRNA expression (81.9% and 94.1%, respectively; p = 0.031). Moreover, the Slow group exhibited higher prior implantation failure counts and altered expression in 15 miRNAs, many involved in aging-related pathways. These findings highlight that asynchronous miRNA–mRNA profiles may reflect impaired receptivity and suggest that miRNA-based staging adds valuable diagnostic insight beyond mRNA profiling alone. Dual assessment of mRNA and miRNA profiles may offer additional diagnostic insight into endometrial receptivity but requires further validation before clinical application. Full article

Chicken anemia virus (CAV) and Eimeria tenella (E. tenella) are economically important pathogens of the poultry industry worldwide. However, the impact of dual infection of these two pathogens in chickens remains unclear. This study investigated the pathogenic effects of dual infection with CAV and E. tenella using two trials. In Trial A, chickens were infected at 21 days of age (D21) with either CAV and E. tenella simultaneously (C₂₁ + T₂₁), CAV alone (C_21a), E. tenella alone (T₂₁), or PBS as a negative control (NC). In Trial B, chickens received CAV at D21 followed by E. tenella at D28 (C₂₁ + T₂₈), CAV alone at D21 (C_21b), E. tenella alone at D28 (T₂₈), or PBS at D21 (NC). Assays of lesion scores (LS), oocysts per gram (OPG) of feces, packed cell volume (PCV), and thymus index (TI) were used to assess variations in pathogenicity. Both the C₂₁ + T₂₁ and C₂₁ + T₂₈ groups showed higher OPG than the group infected with E. tenella alone, with significantly elevated OPG in the secondary infection scenario and more severe lesions in the concurrent co-infection group (p < 0.05). Anemia, indicated by PCV < 27%, was observed in the C₂₁ + T₂₁ group at day 28 and in the C₂₁ + T₂₈ group at day 35, both of which had significantly lower PCV values than the group infected with CAV alone (p < 0.001). Thymus atrophy was most severe in C₂₁ + T₂₁ at 28 days old (p < 0.05; p < 0.01). In this study, preliminary observations suggested that concurrent and secondary infections with CAV and E. tenella showed variable trends that may indicate potential interactions; however, these exploratory findings require more systematic validation in older chickens. Full article

Vinegar functions not only as a sensory enhancer but also as a culturally embedded culinary element across global food systems. In Taiwanese cuisine, black vinegar represents a traditional staple, particularly associated with dumpling consumption, whereas Italian balsamic vinegar is renowned for its aromatic complexity and nuanced sweetness, highly esteemed in Western gastronomy. Despite their culinary significance, limited empirical research has examined how these culturally distinct condiments are perceived when applied beyond their traditional contexts, especially in iconic national dishes. This study investigates Taiwanese consumers’ cross-cultural sensory responses to dumplings paired with either local black vinegar or imported balsamic vinegar. Through a structured sensory evaluation encompassing appearance, aroma, taste, and overall impression, this research explores how sensory cues and cultural expectations interact to shape flavor preferences. The results indicate that although visual attributes were rated similarly, balsamic vinegar’s distinctive aroma and taste elicited significantly greater sensory engagement, suggesting a latent openness to reinterpretation and hybridization within established food practices. These findings were supported by one-way ANOVA results, which revealed significant differences among the three groups for aroma (F = 6.30, p < 0.01), taste (F = 7.21, p < 0.01), and overall evaluation (F = 15.15, p < 0.001). By integrating sensory analysis with cultural food studies, this research advances the understanding of how multisensory cues influence consumer acceptance across cultural contexts. It further highlights the dynamic interplay between cultural familiarity and sensory novelty in flavor perception. These insights yield practical implications for culinary innovation, global flavor localization, and the development of culturally responsive food products. Full article

Thin films of manganese–nickel–cobalt oxide with graphene (G@MNCO) were deposited on copper foam using electrochemical deposition. NiCo₂O₄ is the main phase in these films. As the proportion of graphene in the precursor solution increases, the oxygen vacancies in the samples also increase. The microstructure of these samples evolves into hierarchical vertical flake structures. Cyclic voltammetry measurements conducted within the potential range of 0–1.2 V reveal that the electrode with the highest graphene content achieves the highest specific capacitance, approximately 475 F/g. Furthermore, it exhibits excellent cycling durability, maintaining 95.0% of its initial capacitance after 10,000 cycles. The superior electrochemical performance of the graphene-enhanced, manganese-doped nickel–cobalt oxide electrode is attributed to the synergistic contributions of the hierarchical G@MNCO structure, the three-dimensional Cu foam current collector, and the binder-free fabrication process. These features promote quicker electrolyte ion diffusion into the electrode material and ensure robust adhesion of the active materials to the current collector. Full article

Importance: While minimally invasive esophagectomy is currently accepted as an effective treatment for patients with esophageal cancer, the long-term survival outcomes of single-incision minimally invasive esophagectomy in these patients are still unknown, particularly when compared to those of the more invasive multi-incision minimally invasive esophagectomy. Objective: To determine the long-term oncological outcomes of single-incision minimally invasive esophagectomy in patients with esophageal cancer and to compare these outcomes with those of multi-incision minimally invasive esophagectomy. Design: This was a prospective, randomized, and propensity score-matched study wherein we analyzed patients who underwent treatment from February 2005 to May 2022. Setting: Our study was carried out by a single surgical team in a tertiary medical center. Participants: We analyzed 348 patients with esophageal cancer who underwent single-incision minimally invasive esophagectomy and 469 who underwent multi-incision minimally invasive esophagectomy. Main Outcomes and Measures: We aimed to determine the long-term survival outcomes of single-incision minimally invasive esophagectomy and compare these to those of multi-incision minimally invasive esophagectomy in our study population, and further conducted a propensity score-matching (n = 251 in each arm) study. Results: The disease progression-free (DFS) and overall survival (OS) rates of patients who underwent single-incision minimally invasive esophagectomy (SIMIE) was significantly better than that of those who underwent by multi-incision minimally invasive esophagectomy (MIMIE) (p = 0.024 for OS and p = 0.027 for PFS). This trend of difference was observed in the subsequent propensity-score matching analysis (p = 0.009 and 0.016 for OS and PFS, respectively). Conclusions and Relevance: The single-incision technique applied in minimally invasive esophagectomy to treat esophageal cancer is feasible without compromising the patient’s long-term oncological outcome, as opposed to that applied using multi-incision minimally invasive esophagectomy. Full article

The complications observed in preterm infants are largely attributable to underdeveloped organ systems and inadequate nutritional stores at birth. Insufficient nutritional support can further exacerbate persistent sequelae, such as bronchopulmonary dysplasia (BPD), metabolic bone disease of prematurity (MBDP), and retinopathy of prematurity (ROP). As a result, clinicians have collaborated to develop optimal nutrition strategies for preterm neonates. However, these clinical nutrition plans may be hindered by several factors, including fluid restrictions due to patent ductus arteriosus (PDA) and delayed enteral nutrition following necrotizing enterocolitis (NEC). Modified strategies for specific conditions can help prevent further deterioration, but inadequate nutritional support may limit organ growth and contribute to additional complications. Achieving an optimal balance between nutritional support and managing specific medical conditions varies across institutions. In addition to fluid balance and energy intake, supplementary nutrition—such as vitamins and probiotics—plays a crucial role in disease prevention. Drawing on recent evidence and our clinical experiences with neonatal nutritional strategies, this review article summarizes the specialized nutritional management required for preterm neonates with conditions such as BPD, NEC, MBDP, PDA, and ROP. Full article

(1) Background: The role of air pollutants as risk factors for tinnitus remains unclear. To address this gap in research, we conducted a nationwide retrospective cohort study in Taiwan by integrating patients’ clinical data with daily air quality data to evaluate the environmental risk factors associated with tinnitus. (2) Methods: The Taiwan National Health Research Database (NHIRD) includes medical records for nearly all residents of Taiwan. To assess pollution levels, we used daily air quality data from the Taiwan Environmental Protection Agency regarding SO₂, CO, NO, NO_X, and particulate matter (PM_2.5 and PM₁₀). We merged the NHIRD data with air quality information based on the residents’ locations and the positions of air quality monitoring stations. Pollutant levels were then categorized into quartiles (Q1, Q2, Q3, and Q4). (3) Results: This study included 284,318 subjects. After controlling for covariates, the adjusted HR (95 CI%) for tinnitus increased with increasing SO₂, CO, NO, NO_X, PM_2.5, and PM₁₀ exposure levels, specifically from 1.24 (95 CI% = 1.18, 1.30) to 1.35 (95 CI% = 1.28–1.41); from 1.15 (95 CI% = 1.09, 1.21) to 1.90 (95 CI% = 1.81, 2.00); from 0.86 (95 CI% = 0.82, 0.91) to 1.69 (95 CI% = 1.62, 1.77); from 1.62 (95 CI% = 1.54, 1.71) to 1.69 (95 CI% = 1.60, 1.77); from 0.16 (95 CI% = 0.15, 0.18) to 2.70 (95 CI% = 2.57, 2.84); and from 2.53 (95 CI% = 2.38, 2.69) to 3.58 (95 CI% = 3.39, 3.78), respectively, compared to the Q1 concentrations for all air pollutants. (4) Conclusions: During the 15-year follow-up period, we found a significant positive correlation between air pollutant exposure and the risk of tinnitus. Full article

Background/Objectives: Chronic obstructive pulmonary disease (COPD) remains a leading cause of death worldwide, with emphysema progression providing valuable insights into disease development. Clinical assessment approaches, including pulmonary function tests and high-resolution computed tomography, are limited by accessibility constraints and radiation exposure. This study, therefore, proposed an alternative approach by integrating the novel biomarker long non-coding interleukin-7 receptor α-subunit gene (lnc-Il7R), along with other easily accessible clinical and biochemical metrics, into machine learning (ML) models. Methods: This cohort study collected baseline characteristics, COPD Assessment Test (CAT) scores, and biochemical details from the enrolled participants. Associations with emphysema severity, defined by a low attenuation area percentage (LAA%) threshold of 15%, were evaluated using simple and multivariate-adjusted models. The dataset was then split into training and validation (80%) and test (20%) subsets. Five ML models were employed, with the best-performing model being further analyzed for feature importance. Results: The majority of participants were elderly males. Compared to the LAA% <15% group, the LAA% ≥15% group demonstrated a significantly higher body mass index (BMI), poor pulmonary function, and lower expression levels of lnc-Il7R (all p < 0.01). Fold changes in lnc-IL7R were strongly and negatively associated with LAA% (p < 0.01). The random forest (RF) model achieved the highest accuracy and area under the receiver operating characteristic curve (AUROC) across datasets. A feature importance analysis identified lnc-IL7R fold changes as the strongest predictor for emphysema classification (LAA% ≥15%), followed by CAT scores and BMI. Conclusions: Machine learning models incorporated accessible clinical and biochemical markers, particularly the novel biomarker lnc-IL7R, achieving classification accuracy and AUROC exceeding 75% in emphysema assessments. These findings offer promising opportunities for improving emphysema classification and COPD management. Full article

Upper tract urothelial carcinoma (UTUC) presents aggressive features and a tumor microenvironment with T cell depletion. However, the role of tumor-associated neutrophils in UTUC remains unclear. This study aimed to investigate how UTUC tumor-derived factors modulate neutrophils and their impact on T cell immune responses. Our findings demonstrate that UTUC secreted tumor-derived factors, with apolipoprotein A1 (Apo-A1) being the predominant factor, which upregulated arginase-1 expression in neutrophils. STAT3 activation was responsible for the upregulation of arginase-1 in neutrophils. Blocking the interactions between Apo-A1 and its receptors reduced arginase-1 expression in neutrophils treated with tumor tissue culture supernatant (TTCS). Moreover, both CD4⁺ T and CD8⁺ T cell proliferation were inhibited by neutrophils treated with Apo-A1 or TTCS. Importantly, blocking Apo-A1 signaling in neutrophils reversed the inhibitory effects on T cells. In UTUC patients, the neutrophil-to-lymphocyte ratio was higher than that in healthy subjects. The expression of arginase-1 in neutrophils and the level of Apo-A1 within UTUC tumors were negatively correlated with tumor-infiltrating CD4⁺ T cells. Additionally, neutrophils from UTUC patients showed increased expression of arginase-1 and exhibited inhibitory effects of T cell functions. These findings suggest that UTUC orchestrates an immune-suppressive microenvironment through Apo-A1-mediated upregulation of arginase-1 in neutrophils, ultimately leading to the inhibition of T cell proliferation. Full article

This paper introduces hybrid inputs using Internet of Things (IoT) sensors for reconstructing microwave images of uniaxial objects. Specifically, scattered field data is obtained through IoT sensors, and artificial intelligence techniques are employed to enable real-time electromagnetic imaging. The presented method combines a U-Net architecture with an integrated input to reconstruct high-resolution images of dielectric targets for both Transverse Magnetic (TM) and Transverse Electric (TE) waves. The z-axial dielectric constants are reconstructed by the TM wave illumination, while the x- and y-axial dielectric constants are recovered by the TE wave illumination. First, a Direct Sampling Method (DSM) gives spatial details of the target. Second, a Back-propagation (BP) scheme provides basic information about the target’s properties. Lastly, we combine these two inputs by taking their product, which is further processed in the U-Net. Numerical results show that this integration can improve image quality with nearly no additional computing burden. Experiments also reveal that our proposed method is both accurate and efficient for uniaxial objects, making it a reliable solution to overcome the challenges in electromagnetic imaging. Full article

This study explores the influence of Electric Arc Furnace (EAF) slag particle size and replacement percentage on the engineering performance of concrete, providing valuable insights into its optimal utilization for sustainable construction. By analyzing particle size ranges—R1 (0.8–2.36 mm), R2 (2.36–4.75 mm), and R3 (4.75–7.0 mm)—this research highlights their distinct contributions to compressive strength and carbonation potential. Medium-sized particles (R2) emerged as the most suitable due to consistent compressive strength across different replacement percentages, high calcium content, and superior carbonation efficiency, leading to the highest calcium carbonate formation and CO₂ uptake. The novelty of this work lies in integrating advanced analytical techniques, including Scanning Electron Microscopy (SEM) and Energy Dispersive X-ray Spectroscopy (EDX), to elucidate the microstructural mechanisms driving these performance enhancements. The findings establish a quantifiable relationship between EAF slag’s high calcium and magnesium oxide content and its role in mechanical improvements and carbon dioxide sequestration via mineral carbonation reactions, with R2 achieving the highest CO₂ uptake. This comprehensive approach addresses the apparent contradiction between early-stage and long-term performance, emphasizing R2’s suitability, with 45% of the replacement of fine aggregate as the optimal choice for sustainable high-performance concrete with superior strength stability and carbonation efficiency. Full article

Background: Social media platforms increasingly influence dietary behaviours, with cooking videos emerging as a key tool for promoting healthy eating. However, limited research has examined how such digital content affects adults in established adulthood. Objective: This study investigates the relationships among cooking behaviour, engagement with healthy cooking videos on Instagram, and healthy eating behaviours among Taiwanese adults aged 30 to 45. Methods: A cross-sectional online survey collected valid responses from 488 participants (effective response rate = 81.3%) who regularly cook and engage with food-related content on Instagram. Structural equation modelling (SEM) was used to test hypothesised relationships. Results: Cooking behaviour was positively associated with engagement in healthy cooking multimedia (β = 0.262, p < 0.01). Engagement significantly predicted healthy eating behaviours (β = 0.399, p < 0.001) and mediated the effect of cooking behaviour on dietary outcomes (indirect effect = 0.105, 95% CI [0.044, 0.204]). Cooking behaviour alone was not directly associated with healthy eating behaviours (β = 0.009, n.s.). Conclusions: Engagement with healthy cooking videos enhances healthy eating practices among adults in established adulthood. These findings highlight Instagram’s potential as a digital health promotion tool and support the integration of culinary media into public nutrition strategies. Full article

Chronic stress significantly contributes to the development of depressive disorders, with the hypothalamic–pituitary–adrenal (HPA) axis playing a central role in mediating stress responses. This review examines the neurobiological alterations in the hippocampus linked to HPA axis dysregulation in chronic stress-associated depressive disorders. The prolonged activation of the HPA axis disrupts cortisol regulation, leading to the decline of both physical and mental health. The chronic stress-induced HPA axis dysfunction interacts with inflammatory pathways and generates oxidative stress, contributing to cellular damage and neuroinflammation that further aggravates depressive symptoms. These processes result in structural and functional alterations in the hippocampus, which is essential for emotional regulation and cognitive function. Comprehending the impact of chronic stress on the HPA axis and associated neurobiological pathways is essential for formulating effective interventions for depressive disorders. This review summarises the existing findings and underscores the necessity for future investigations into intervention strategies to improve physical and psychological wellbeing targeting at HPA axis dysregulation for the betterment of psychological wellbeing and human health. Full article

Purpose: We aimed to identify the impact of conversion surgery to survival in patients with stage IV esophageal cancer who have a stabilized disease and good treatment response before surgery. Patients and Methods: This retrospective study included patients with esophageal cancer M1 disease treated at a tertiary medical center from April 2002 to June 2021. For patients with a good clinical response to chemoradiation and well-controlled metastatic lesions, esophagectomy and lymphadenectomy were performed. A propensity score-matching (PSM) study with a 1:2 ratio and based on patient age, tumor stage, and metastasis status was conducted for verifying the results. Results: We enrolled 162 patients, including 124 treated with concurrent chemoradiation therapy (CCRT) alone and 38 treated with CCRT followed by esophagectomy. A total of 114 patients were analyzed using PSM, including 76 patients treated with CCRT alone and 38 patients treated with CCRT and surgery. The 3- and 5-year OS was 24.6% vs. 2.8% and 12.3% vs. 1.4% (p = 0.006), and PSM was 24.6% vs. 4.6% and 12.3% vs. 2.3% (p = 0.033) for those with or without esophagectomy, respectively. Multivariate analysis revealed surgery with esophagectomy as an independent prognostic factor for OS with odd ratios (95% confidence interval [CI]) of 1.91 (1.23–2.95) (p = 0.004). Conclusions: Surgical resection following CCRT holds a potential survival benefit for the patients with a favorable response to CCRT for patients with stage IV esophageal cancer. Full article

This study introduces an integrated lower limb robotic orthosis with near-field electrospinning (NFES) piezoelectric sensors and a fuzzy logic-based gait phase detection system to enhance mobility assistance and rehabilitation. The exoskeleton incorporates embedded pressure sensors within the insoles to capture ground reaction forces (GRFs) in real-time. A fuzzy logic inference system processes these signals, classifying gait phases such as stance, initial contact, mid-stance, and pre-swing. The NFES technique enables the fabrication of highly oriented nanofibers, improving sensor sensitivity and reliability. The system employs a master–slave control framework. A Texas Instruments (TI) TMS320F28069 microcontroller (Texas Instruments, Dallas, TX, USA) processes gait data and transmits actuation commands to motors and harmonic drives at the hip and knee joints. The control strategy follows a three-loop methodology, ensuring stable operation. Experimental validation assesses the system’s accuracy under various conditions, including no-load and loaded scenarios. Results demonstrate that the exoskeleton accurately detects gait phases, achieving a maximum tracking error of 4.23% in an 8-s gait cycle under no-load conditions and 4.34% when tested with a 68 kg user. Faster motion cycles introduce a maximum error of 6.79% for a 3-s gait cycle, confirming the system’s adaptability to dynamic walking conditions. These findings highlight the effectiveness of the developed exoskeleton in interpreting human motion intentions, positioning it as a promising solution for wearable rehabilitation and mobility assistance. Full article