Search Results (155)

Background and Objectives: This study aimed to compare coronary plaque characteristics between Asian and European populations undergoing coronary CT angiography and to examine associations between cardiovascular risk factors and coronary artery calcification. Materials and Methods: In this retrospective, two-center, cross-sectional observational study, 1591 adult patients (1203 of Asian and 388 of European descent) referred for coronary computed tomography angiography (CCTA) due to suspected coronary artery disease between 2008 and 2025 were included. Demographic, clinical characteristics, and laboratory data were obtained from medical records. Computed tomography (CT) was performed on different CT scanners, including a 64-slice Siemens SOMATOM Definition AS, a 250-slice Siemens SOMATOM, a 640-slice multi-detector Canon Aquilion ONE, and a 128-slice multi-detector GE Revolution scanner with prospective cardiac synchronization and 0.6 mm slice reconstruction. Coronary artery calcium (CAC) scores were quantified using automated software “Vitrea”. Associations between ethnicity, cardiovascular risk factors, and CAC were assessed using non-parametric analyses and multivariable regression models. Stata 18 software was used for all statistical analyses. Results: European participants demonstrated a higher prevalence of obesity, hypertension, tobacco use, and alcohol consumption compared with Asian participants. The prevalence of CAC > 0 was higher in Europeans than in Asians (60.6% vs. 50.3%, p < 0.01). European individuals were independently associated with CAC presence in multivariable analysis. Multivessel (≥2-vessel) stenosis and calcified plaques were more frequently observed in Europeans, whereas non-calcified and low-density plaques predominated among Asians. Conclusions: Within this referral-based cohort, differences in coronary plaque characteristics were observed between the studied groups within this clinical CCTA cohort. The European group was associated with a higher prevalence of calcified plaques, whereas non-calcified and low-density plaques were more frequently observed among Asian participants. These findings show associations between ethnicity and plaque characteristics within a clinical cohort and require confirmation in prospective studies. Full article

Background and Objectives: Chronic obstructive pulmonary disease (COPD) is heterogeneous, and phenotype-based classification may better capture differences in clinical burden and healthcare needs beyond standard GOLD categories. We aimed to describe the distribution of GesEPOC COPD phenotypes in Turkey and compare their demographic, clinical, functional, radiological, treatment, and healthcare utilization profiles. Materials and Methods: DIPTUR was a multicenter, observational, cross-sectional study conducted prospectively in 26 centers across 17 Turkish cities (October 2019–June 2021). Stable COPD patients (≥40 years; post-bronchodilator FEV1/FVC < 0.7) without exacerbation or major treatment modification within the previous four weeks were enrolled consecutively. Phenotypes were assigned per GesEPOC: exacerbator with emphysema (EE), exacerbator with chronic bronchitis (ECB), asthma–COPD overlap (ACO), and non-exacerbator (NE). Frequent exacerbators were defined as patients who experienced two or more exacerbations during the 12 months preceding enrollment, based on medical records and patient reports. Results: Among 894 patients, phenotype distribution was NE 44.1%, ECB 26.2%, EE 20.5%, and ACO 9.3%. Male predominance was observed across groups (80–89%; p = 0.006). Active smoking was most frequent in ECB (37.6%; p < 0.001), and BMI was lowest in EE (p < 0.001). Comorbidity patterns differed, with hypertension (p < 0.001), diabetes mellitus (p = 0.029), and heart failure (p < 0.001) most prevalent in ECB. Pulmonary function (FEV1 and FVC) was lowest in EE (both p < 0.001), and severe airflow limitation (GOLD III–IV) was most common in EE and ECB (p < 0.001). Dyspnea (mMRC ≥ 2) was more frequent in EE/ECB than in ACO/NE (p < 0.001). Emphysematous changes on thoracic CT predominated in EE (91.7%; p < 0.001). Long-term oxygen therapy was most common in EE (32.4%; p < 0.001). Emergency admissions, hospitalizations, and total length of stay were markedly higher in EE and ECB than in ACO and NE (all p < 0.001). Conclusions: COPD phenotypes in Turkey show substantial heterogeneity in clinical, functional, radiological, and utilization domains. Exacerbator phenotypes—particularly EE and ECB—represent higher-burden groups, supporting phenotype-oriented management and closer monitoring beyond GOLD classification. Full article

Background/Objectives: Current data-driven dietary pattern methods have limitations in identifying disease-specific dietary structures. We developed network-derived dietary scores based on type 2 diabetes (T2D)-differential food co-consumption networks and examined their associations with incident T2D risk. Methods: Using the Korean Genome and Epidemiology Study-CArdioVascular disease Association Study (KoGES-CAVAS, n = 16,665), we constructed food co-consumption networks from cumulative average intakes stratified by incident T2D status. The network centrality scores from edges appearing exclusively in either T2D or non-T2D networks were used to generate a differential co-consumption network-derived (D_CCN) score, with higher scores indicating a greater alignment with diabetes-specific structures. CAVAS-derived scores were applied to the Health Examinee Study (KoGES-HEXA, n = 51,206) for cross-cohort validation. Incidence rate ratios (IRRs) were estimated using modified Poisson regression with robust error estimation. Results: During follow-up, 953 and 2190 new cases of T2D were identified in CAVAS and HEXA, respectively. Rice and vegetable dishes were primary hub foods in both networks, with rice showing exclusively negative correlations. Non-T2D networks were more complex, whereas T2D networks were simpler and centered on refined flour-based foods. The D_CCN score was associated with a higher T2D risk in CAVAS (IRR = 1.45, 95% CI: 1.21–1.74), and this association was validated in HEXA (IRR = 1.58, 95% CI: 1.40–1.78), with consistent dose–response relationships (both p-trend < 0.0001). Conclusions: Differential network analysis identified T2D-specific co-consumption structures, and the D_CCN score consistently predicted T2D risk across cohorts. This approach highlights the utility of network-based methods for capturing disease-relevant dietary structures beyond traditional approaches. Full article

The BESIII Collaboration has collected large data samples from $e^{+}{e}^{-}$ collisions at center-of-mass energies ranging from 1.84 to 4.95 GeV, which include the world’s largest charmonium sample, consisting of 10 billion $J/\psi$ and 3 billion $\psi \left(3686\right)$ events. These high-statistics datasets enable BESIII to carry out a wide range of studies in hyperon physics. In this article, we review the major achievements of the BESIII Collaboration in this field, which can be broadly categorized into four areas: hyperon polarization and $CP$ violation, rare hyperon decays, hyperon pair production, and hyperon–nucleon interactions. Full article

Armillaria mellea (A. mellea) serves as a crucial nutritional source for Gastrodia elata (GE) growth, and its origin directly influences the GE quality and yield. This study analyzed GE symbiotic with A. mellea from different sources using metabolomics and transcriptomics. Results demonstrated that Group A exhibited significant differences in metabolites and gene expression compared to other groups. Group A showed significantly higher accumulation of active components like gastrodin and p-hydroxybenzyl alcohol than others, but its yield was lower than Group B. Metabolomic analysis identified 2418 metabolites, while transcriptomic sequencing produced 964,110,904 clean reads, with 14,637 annotated transcripts. KEGG analysis revealed that Group A’s DEGs and DEMs were co-enriched in three key pathways, including flavonoid biosynthesis, phenylpropanoid biosynthesis, and plant hormone signal transduction, such as the positive regulatory roles of key genes (CHS, 4CL, MYC2) on metabolites such as hesperetin, ferulate, and jasmonic acid, respectively. The coordinated upregulation of gene–metabolite interactions in Group A GE may be closely related to the accumulation of major active components, indirectly suggesting the influence of the A. mellea source on metabolic and transcriptional response differences in GE. This study, centered on the host GE, indirectly deduces the association between A. mellea and GE, providing a theoretical basis for screening high-quality “fungus-GE” combinations. Further in-depth research and validation experiments will be conducted in conjunction with fungal omics. Full article

Cross-modality person re-identification faces challenges such as illumination discrepancies, local occlusions, and inconsistent modality structures, leading to misalignment and sensitivity issues. We propose GLCN, a framework that addresses these problems by enhancing representation learning through locality enhancement, cross-modality structural alignment, and intra-modality compactness. Key components include the Locality-Preserved Cross-branch Fusion (LPCF) module, which combines Local–Positional–Channel Gating (LPCG) for local region and positional sensitivity; Cross-branch Context Interpolated Attention (CCIA) for stable cross-branch consistency; and Graph-Enhanced Center Geometry Alignment (GE-CGA), which aligns class-center similarity structures across modalities to preserve category-level relationships. We also introduce Intra-Modal Prototype Discrepancy Mining Loss (IPDM-Loss) to reduce intra-class variance and improve inter-class separation, thereby creating more compact identity structures in both RGB and IR spaces. Extensive experiments on SYSU-MM01, RegDB, and other benchmarks demonstrate the effectiveness of our approach. Full article

We report a laboratory search for axion-like particles (ALPs) in the eV mass range using a variable-angle three-beam-stimulated resonant photon collider. The scheme independently focuses and collides three laser beams, providing a cosmology- and astrophysics-independent test. By varying the angles of incidence, the center-of-mass energy can be scanned continuously across the eV range. In this work, we operated the collider in a vacuum chamber at a large-angle configuration, verified the spacetime overlap of the three short pulses, and performed a first search centered at $m_a\simeq 2.27\mathrm{eV}$. No excess was observed. Thus, we set a $95\%$ C.L. upper limit on the pseudoscalar two-photon coupling, with a minimum sensitivity of $g/M\simeq 4.2\times {10}^{-10}{\mathrm{GeV}}^{-1}$ at $m_a=2.27\mathrm{eV}$. This provides the first model-independent upper limit on the coupling that reaches the KSVZ benchmark in the eV regime and demonstrates the feasibility of eV-scale mass scans in the near future. Full article

Streptococcus suis is an important zoonotic pathogen responsible for severe infections in pigs and humans. Its capacity to survive within phagocytic cells is considered a key virulence mechanism that contributes to dissemination and persistence in host tissues. This study employed comparative proteomic profiling to investigate intracellular adaptation of S. suis serotypes 2 (SS2) and 14 (SS14) during infection of human U937 macrophages. Five isolates originating from humans and pigs were analyzed using gel electrophoresis with liquid chromatography–tandem mass spectrometry (GeLC–MS/MS), revealing 118 differentially expressed proteins grouped into 11 functional categories. Translation-related proteins represented the largest group (48%), including upregulated ribosomal subunits (30S: S2, S5, S7, S8, S12, S15; 50S: L1, L5, L18, L22, L24, L33, L35) and translation factors such as GidA/TrmFO and RimP. Enrichment of carbohydrate metabolism and DNA replication proteins, including phosphoenolpyruvate carboxylase (PEP), UDP-N-acetylglucosamine pyrophosphorylase (GlmU), and ATP-dependent DNA helicase RuvB, indicated metabolic reprogramming and stress adaptation under intracellular conditions. Stress-response proteins such as molecular chaperone DnaK were also induced, supporting their multifunctional, “moonlighting” roles in virulence and host interaction. Comparative analysis showed that SS2 expressed a broader range of adaptive proteins than SS14, consistent with its higher virulence potential. These findings reveal conserved intracellular responses centered on translation, energy metabolism, and stress tolerance, which enable S. suis to survive within human macrophages. Integration of these intracellular proteomic signatures with previous exoproteomic, peptidomic, and network-based studies highlights translational and metabolic proteins—particularly DnaK, enolase, elongation factor EF-Tu, and GlmU—as multifunctional candidates linking survival and immunogenicity. This work establishes a comparative proteomic foundation for understanding S. suis intracellular adaptation and highlights potential targets for future vaccine or therapeutic development against this zoonotic pathogen. Full article

One of the main goals of the Compressed Baryonic Matter (CBM) experiment at the Facility for Antiproton and Ion Research (FAIR) is to investigate the properties of strongly interacting matter under high baryon densities and explore the QCD phase diagram. Fluctuations of conserved quantities like baryon number, electric charge, and strangeness are key probes for phase transitions and critical behavior, as are connected to thermodynamic susceptibilities predicted by lattice QCD calculations. In this paper, we report on up-to-the-fourth-order cumulants of (net-)proton number distributions in gold–gold ion collisions at the nucleon–nucleon center of mass energies $\sqrt{s_{NN}}$ = 3.5–19.6 GeV using the Parton–Hadron-Quantum-Molecular Dynamics (PHQMD) model. Protons and anti-protons are selected at midrapidity ($\left|y\right|$ < 0.5) within a transverse momentum range 0.4 $<p_T<$ 2.0 GeV/c of STAR experiment and 1.08 $<y<$ 2.08 and 0.4 $<p_T<$ 2.0 GeV/c of CBM acceptances. The results obtained from the PHQMD model are compared with the existing experimental data to undersatand potential signatures of critical behavior and to probe the vicinity of the critical end point in the CBM energy range. The results obtained here with the PHQMD calculations for $\kappa {\sigma }^2$ (the distribution kurtosis times variance squared) are consistent with the overall trend of the measurement results for the most central (0–5% centrality) collisions, although the calculations somewhat overestimate the experimental values. Full article

Gesture elicitation studies (GES) is a promising method for intuitive interaction with mobile robots in urban environments. Traditional gesture elicitation methods rely on predefined commands, which may restrict creativity and adaptability. This study explores referent-free gesture elicitation as a method for discovering natural, user-defined gestures to control a hexapod robot. Through a three-phase user study, we explore gesture diversity, user confidence, and agreement rates across tasks. Results show that referent-free methods foster creativity but present consistency challenges, while referent-based approaches offer better convergence for familiar commands. As a proof of concept, we implemented a subset of gestures on an embedded platform using a stereo vision system and tested live classification with two gestures. This technical extension demonstrates early-stage feasibility and informs future deployments. Our findings contribute a design framework for human-centered gesture interfaces in mobile robotics, especially for dynamic public environments. Full article

We present extensive comparisons of ¹⁶O+¹⁶O collisions at a center-of-mass energy per nucleon pair $\sqrt{s_{NN}}=200$ GeV and ²⁰⁸Pb+¹⁶O collisions at $\sqrt{s_{NN}}=68.5$ GeV as well as ²⁰Ne+²⁰Ne collisions at $\sqrt{s_{NN}}=200$ GeV and ²⁰⁸Pb+²⁰Ne collisions at $\sqrt{s_{NN}}=68.5$ GeV based on a multiphase transport (AMPT) model. We recommend measuring the ratio of the elliptic flow to the triangular flow, which shows appreciable sensitivity to the structure of light nuclei, as also found in other studies. This is especially so if the observable is measured near the target rapidity in ²⁰⁸Pb+¹⁶O or ²⁰⁸Pb+²⁰Ne collisions, as originally found in the present study. Our study serves as a useful reference for understanding the effect of structure on observables in collisions involving light nuclei under analysis or on the schedule. Full article

Background/Objectives: Prostate artery embolization (PAE) has emerged as a relatively new, minimally invasive alternative for the treatment of benign prostatic hyperplasia. We aimed to compare the perioperative outcomes and trends of PAE versus transurethral resection of the prostate (TURP) and laser enucleation. Materials and Methods: We used the GeRmAn Nationwide inpatient Data (GRAND), provided by the Research Data Center of the Federal Bureau of Statistics, and performed multiple patient-level analyses. Patients with prostate cancer, acute hematuria, and emergent referral to the hospital were excluded. Results: Between 2017 and 2022, a total of 3665 PAEs were performed in Germany compared to 218,388 TURPs and 50,863 laser enucleations. Patients selected for PAE were slightly younger and presented with fewer comorbidities at baseline. The number of laser enucleations increased exponentially in these years, PAEs remained stable, whereas TURPs slightly decreased. Compared to PAE, laser enucleation was associated with higher odds of in-hospital incontinence (4.2% versus 2.7%, OR: 1.6, 95%CI: 1.3–1.9, p < 0.001). On the contrary, PAE was associated with lower odds of in-hospital urinary retention and shorter length of hospital stay compared to TURP (3.2% versus 7.1%, OR: 2.2, 95%CI: 1.8–2.6, p < 0.001, and a 2.6-day difference, 95%CI: 2.5–2.7, p < 0.001, respectively) and laser enucleation (3.2% versus 5%, OR: 1.5, 95%CI: 1.3–1.8, p < 0.001, and a 1.5-day difference, 95%CI: 1.4–1.6, p < 0.001, respectively). Conclusions: PAE offers more favorable perioperative outcomes compared to TURP and laser enucleation, but the use of this relatively new procedure has remained nearly stable in recent years. Full article

Background: Urinary tract trauma encompasses injuries to the kidneys, ureters, urinary bladder, and urethra and can result from both external and iatrogenic causes. We aimed to evaluate the epidemiology, clinical characteristics, and in-hospital outcomes of urinary tract trauma in Germany. Methods: We analyzed data from the GeRmAn Nationwide inpatient Data (GRAND) registry, provided by the Research Data Center of the Federal Bureau of Statistics, from 2005 to 2023. We included patients admitted to the hospital with kidney, ureteral, urinary bladder, or urethral trauma. We assessed baseline characteristics, perioperative outcomes, surgical interventions, in-hospital all-cause mortality, and trends. Results: We identified 239,657 patients with urinary tract trauma: 109,376 with kidney, 34,330 with ureteral, 57,886 with bladder, and 38,065 with urethral trauma. While the incidence of kidney trauma declined, the incidence of ureteral, bladder, and urethral trauma steadily increased over time. Kidney trauma was the most common trauma, affecting younger males (median age of 47 years), and was associated with in-hospital all-cause mortality of 2.4% and transfusion rates of 15%. Ureteral stenting was necessary in 9.3% and nephrectomy in 2.6% of all patients with kidney trauma. Moreover, ureteral, bladder, and urethral trauma predominantly affected older, multimorbid patients, leading to higher rates of transfusion (22–25%), intensive care unit admission (12–15%), and mortality (3.2–6.4%). Ureteral anastomosis was necessary in 14% of all ureteral injuries. Bladder repair was required in 53% of all patients with bladder injury, while 1% of these patients required cystectomy. Accordingly, urethral reconstruction was performed in 7.2% of all patients with urethral trauma. Conclusions: These findings highlight the evolving landscape of urinary tract trauma and underscore the need for tailored management strategies and preventive measures. Full article

Medical education is the paradigm of 21st century education and the current changes involve the adoption of integrative and comprehensive patient-centered teaching and learning approaches. Thus, curricular developers from George Emil Palade University of Medicine, Pharmacy, Sciences, and Technology of Targu Mures (G.E. Palade UMPhST of Targu Mures) have recently designed and implemented an innovative medical curriculum, as well as two valuable assessment tools for both theoretical knowledge and practical skills. Thus, during the first three preclinical years, the students will benefit from an organ- and system-centered block teaching approach, while the clinical years will focus on enabling students to achieve the most important practical skills in clinical practice, based on a patient bedside teaching system. In terms of theoretical knowledge assessment, the UNiX center at G.E. Palade UMPhST of Targu Mures, a recently designed center endowed with the latest next-generation technology, enables individualized, secured multiple-choice question-based assessments of the student’s learning outcomes. Moreover, an intelligent assessment tool for practical skills was also recently implemented in our branch in Hamburg, the Objective Structured Clinical Examination (O.S.C.E). This system uses direct observations for testing the student’s practical skills regarding anamnesis, clinical exams, procedures/maneuvers, the interpretation of laboratory tests and paraclinical investigations, differential diagnosis, management plans, communication, and medical counselling. The integrative, comprehensive, patient-centered curriculum and the intelligent assessment system, implemented in G.E Palade UMPhST of Targu Mures, help define innovation in education and enable the students to benefit from a high-quality medical education. Full article

Fire, whether wild or urban, depends on the triad of oxygen, fuel, and heat. Urban fires, although smaller in scale, have devastating impacts, as evidenced by the 2018 wildfire in Mati, Attica (Greece), which claimed 104 lives. The elderly and children are the most vulnerable due to mobility and cognitive limitations. This study applies Grammatical Evolution (GE), a machine learning method that generates interpretable classification rules to predict the consequences of urban fires. Using historical data (casualties, containment time, and meteorological/demographic parameters), GE produces classification rules in human-readable form. The rules achieve over 85% accuracy, revealing critical correlations. For example, high temperatures (>35 °C) combined with irregular building layouts exponentially increase fatality risks, while firefighter response time proves more critical than fire intensity itself. Applications include dynamic evacuation strategies (real-time adaptation), preventive urban planning (fire-resistant materials and green buffer zones), and targeted awareness campaigns for at-risk groups. Unlike “black-box” machine learning techniques, GE offers transparent human-readable rules, enabling firefighters and authorities to make rapid informed decisions. Future advancements could integrate real-time data (IoT sensors and satellites) and extend the methodology to other natural disasters. Protecting urban centers from fires is not only a technological challenge but also a moral imperative to safeguard human lives and societal cohesion. Full article