Search Results (2,455)

To address the low efficiency and high subjectivity of manual inspection of Astragalus slices, as well as the limited fine-grained detection accuracy caused by the visual similarity between the characteristic radial “chrysanthemum heart” texture and minor defects such as insect damage and mold, this study proposes a lightweight intelligent detection model named Astra-YOLO. A dataset consisting of 622 original Astragalus slice images from four categories was divided into training, validation, and test sets at a ratio of 8:1:1. Data augmentation was applied exclusively to the training set, resulting in a total of 3110 images. Based on YOLOv11n, three targeted improvements were introduced: GhostConv lightweight convolution was employed to reduce model parameters and computational cost; the parameter-free SimAM attention mechanism was integrated to suppress interference from complex textures and enhance defect feature representation; and Wise-IoU v3 was adopted to improve bounding box regression for precise localization of small defects. The experimental results demonstrate that Astra-YOLO achieves superior performance with only 2.53 million parameters and 6.20 GFLOPs. The model attains an mAP@0.5 of 92.7%, an mAP@0.5:0.95 of 73.8%, a precision of 92.4%, and a recall of 92.1%. These results indicate that Astra-YOLO effectively balances lightweight design and detection accuracy, outperforming the baseline model and other improved variants, thereby providing reliable technical support for industrial online inspection and automated quality grading of Astragalus slices. Full article

Buildings in Lagos require mechanical cooling year-round, with air conditioning accounting for up to 80% of residential electricity consumption. Despite this, the Nigerian Building Code (NB 485:2017) still references 1990s thermal design data, creating a growing mismatch between design assumptions and actual thermal conditions. Compounding background warming and an intensifying urban heat island have widened this gap considerably, yet no study has linked long-term cooling demand trends to quantified engineering design shortfalls for any Nigerian city. This study presents a 35-year cooling degree day (CDD) trend analysis for Lagos (1990–2024), derived from 12,784 daily temperature records at four engineering base temperatures (22 °C, 23.3 °C, 26 °C, and 28 °C) respectively. Trends are detected using the Mann–Kendall test with Trend-Free Pre-Whitening and Sen’s slope as the magnitude estimator. Significantly increasing CDD trends are confirmed at three base temperatures, with a Sen’s slope of +4.55 °C·days yr⁻¹ at the primary design reference of 23.3 °C (p < 0.01). Structural break analysis identifies 2015 as the transition into a persistently above-baseline thermal regime, with mean CDD in the most recent sub-period exceeding the 1990–2001 design baseline by up to 50% at higher base temperatures. The detected trends are translated into three engineering gap analyses: required envelope U-value trajectories, an HVAC capacity undersizing index, and annual thermal cycling frequency as a structural fatigue proxy. Results show that the dominant uninsulated sandcrete typology fails ASHRAE 90.1-2019 Zone 1A prescriptive limits throughout the study horizon, installed HVAC systems are already operating in the engineering caution zone, and façade fatigue loading has intensified markedly since 2015. To the author’s knowledge, this study is the first to couple a statistically robust long-period CDD record for Lagos with code-referenced design gap figures, providing a replicable framework for climate-adaptive building code revision across similar hot–humid climates in sub-Saharan Africa. Full article

Under the dwarf-rootstock dense planting method, existing apple detection models for intelligent harvesting suffer from excessive parameter counts that hinder deployment on resource-constrained devices, while lightweight alternatives often sacrifice detection accuracy. To address this dilemma, this paper proposes YOLO-SPM, a lightweight apple detection model based on the YOLOv12n architecture, specifically designed for complex orchard environments. The core innovation lies in a problem-driven, three-stage collaborative optimization strategy: first, PConv is introduced to replace standard convolutions in the A2C2f module, reducing computational redundancy by exploiting channel-wise feature similarity of apple targets; second, the parameter-free SimAM attention mechanism is embedded in the neck network to enhance the model’s focus on occluded fruit features without increasing model size, while MBConv is integrated into the detection head to further reduce computational cost; third, WIoU v3 is adopted as the loss function to compensate for the accuracy loss incurred by lightweight design through its dynamic focusing mechanism on difficult samples. This complementary design ensures that each module addresses a distinct bottleneck of the native YOLOv12n in orchard scenarios, achieving a balance between efficiency and accuracy rather than simple module stacking. Experimental results demonstrate that YOLO-SPM achieves a precision of 92.8% and mAP@0.5 of 93.1%, outperforming the baseline by 4.8 and 5.3 percentage points, respectively, while reducing parameter count, FLOPs, and memory footprint by 40.2%, 35.4%, and 41.8%. This study provides a feasible solution for high-precision apple identification in dwarf-rootstock dense planting orchard environments, with the potential for integration into automated harvesting systems upon future on-device validation. Full article

Lipolytic and esterase-like enzymes are crucial in the food industry for flavor production and ester hydrolysis. This study presents an exploratory, baseline feasibility approach to evaluate esterase-like enzyme production by Serratia marcescens 11E via a sustainable co-valorization matrix, where vegetable wax residues serve as structural solid support and cheese whey acts as the primary lipid nutritional source. Under fixed 48-h screening conditions, the recovered cell-free extract exhibited a distinct catalytic preference for short-chain esters, showing higher specific activity toward 4-nitrophenyl acetate (0.743 U/mg) than 4-nitrophenyl palmitate (0.125 U/mg), confirming a predominant carboxylesterase-like profile. Biochemical characterization revealed an initial optimal activity at pH 9.0 and 30 °C, along with a noteworthy bimodal catalytic behavior featuring a secondary activity peak at 70 °C. Size-exclusion chromatography resolved the extract into two distinct active elution pools (17.8 and 26.2 U/mg), which corresponded to candidate protein bands of 35–40 kDa on SDS-PAGE. Although definitive molecular identification remains subject to ongoing zymographic and proteomic characterization, these foundational findings demonstrate the potential of co-valorizing lipid- and carbohydrate-rich industrial wastes to produce resilient proteins with esterase-like activity at elevated temperatures. Full article

Background: Herpes zoster (HZ), commonly known as shingles, and post-herpetic neuralgia (PHN) represent growing public health concerns, particularly among older adults. Despite the established efficacy of the herpes zoster vaccine (HZV), global uptake remains suboptimal. Objectives: This scoping review maps evidence from Saudi Arabia evaluating the baseline knowledge, awareness, attitudes, acceptance, hesitancy, and clinical uptake of the HZV among general adults, high-risk populations, and healthcare workers (HCWs). Methods: The JBI and PRISMA-ScR methodological frameworks were strictly adhered to during mapping. Eligible sources included peer-reviewed, observational cross-sectional studies conducted in Saudi Arabia and published in English between 2022 and 2026. The search was conducted across PubMed, Scopus, Web of Science, and Google Scholar. Data were systematically extracted and charted using a standardized digital piloting framework to capture study characteristics (author, year, and region), sample sizes, target populations, knowledge percentages, actual vaccine uptake rates, and self-reported barriers. Results: Out of 25 retrieved records, 19 unique primary studies were mapped. Public knowledge of HZ complications and vaccine eligibility criteria was consistently low to moderate, falling below 50% across most cohorts. Conversely, while verbal willingness to receive the vaccine was highly favorable (ranging from 60% to 75%), a profound “intention–behavior gap” was observed, with actual clinical uptake being below 10%. Key barriers included a lack of public health campaigns, safety concerns regarding reactogenicity, online misinformation, and a lack of proactive provider communication. For HCWs, barriers included unclear local guidelines and a lack of workplace mandates. Ultimately, a proactive physician recommendation was identified as the single most powerful clinical facilitator, increasing vaccine acceptance by over 80% across all cohorts. Conclusions: While the shingles vaccine is now distributed completely free across Saudi Arabia, high public willingness has not translated into actual vaccination rates (10%) due to low public awareness of disease severity. Free vaccine availability alone is insufficient; primary care systems must shift from a passive delivery model to an active, provider-driven framework to successfully close this gap Full article

Renibacterium salmoninarum, the etiological agent of bacterial kidney disease, is a facultative intracellular pathogen whose interaction with salmonid phagocytic cells remains poorly resolved at the protein level. Here, we aimed to define the temporal protein-abundance architecture of SHK-1 macrophage-like cells after R. salmoninarum inoculation and to test whether this response supports broad canonical cell-death pathway engagement. We used label-free quantitative LC-MS/MS proteomics to profile SHK-1 cells over a 48 h post-inoculation time course. Because the design included a single non-infected T0 baseline, analyses were framed as baseline-referenced post-inoculation comparisons rather than a fully controlled mock time course. Of 6842 proteins retained for statistical modeling, 2254 were strictly differentially abundant in at least one contrast relative to T0 (adjusted p < 0.05 and |log₂FC| ≥ 0.585). Perturbation was strongest at 1–2 h and progressively contracted at later time points. Among 1278 recurrent proteins, k-means clustering resolved four temporal modules capturing coordinated remodeling of lysosomal, immunometabolic, cytoskeletal, stress-response, and antioxidant programs. A curated cell-death panel spanning apoptosis, pyroptosis, necroptosis, ferroptosis, and PANoptosis yielded only three detected markers; CASP3 and MLKL met the strict threshold, whereas ACSL4 remained sub-threshold. Overall, early host-cell remodeling, rather than broad canonical death-program execution, was the predominant proteomic signature of SHK-1 cells during the first 48 h after R. salmoninarum inoculation. Full article

We develop a two-age smoking-dynamics model for youth and adult groups that incorporates education acquisition, aging, cessation and relapse, disease progression, age-dependent social mixing, and a weak Allee effect in smoking initiation. Education is modeled as a protective status acquired through schooling and aging transitions, while initiation depends on both education status and prevalence-dependent social reinforcement. We establish the well-posedness of the system, derive the smoking-free equilibrium in closed form, and obtain the compact age-structured threshold ${\mathcal{R}}_0^{\mathrm{age}}=\rho \left(\mathrm{diag}(g_Y,g_A)C\right)$, where C is the age-mixing matrix and $g_a$ summarizes the within-age smoking-invasion potential. Using center-manifold analysis, we derive conditions under which Allee-type social reinforcement can generate a backward bifurcation, implying that reducing ${\mathcal{R}}_0^{\mathrm{age}}$ below one may not always be sufficient for elimination when endemic prevalence is high. We also analyze the impact of cross-age mixing on the threshold and use a quasi-steady-state approximation to characterize the quitting–relapse loop while preserving the threshold structure. Numerical simulations illustrate baseline youth and adult prevalence trends, identify youth initiation, relapse, cessation, and education protection as dominant drivers of threshold sensitivity, and show that education-based interventions are most effective when they directly reduce the susceptibility of educated youths to smoking initiation. Full article

Purpose: Lymphopenia is a common adverse event following radiotherapy, but its prognostic relevance following comprehensive involved-site radiation (ISRT) for oligometastatic disease is unknown. We evaluated lymphocyte kinetics after ISRT for oligometastases and tested whether treatment-related lymphopenia was associated with overall survival (OS) and modified progression-free survival (mPFS). Patients and Methods: We performed a single-institution registry study of consecutive patients with 1 to 5 distant metastases treated with comprehensive ISRT by a single radiation oncologist from 2014 to 2023. Systemic therapy was administered at clinician discretion. Absolute lymphocyte count (ALC) was collected at baseline, during radiation and at 1, 3 and 12 months after radiotherapy. Lymphopenia was graded using CTCAE v5.0 (grade 1, ALC < 1000 cells/µL; grade ≥ 3, ALC < 500 cells/µL). OS and mPFS (defined as death or metastatic progression not salvageable with further local therapy) were estimated by the Kaplan–Meier method. Associations were evaluated using univariable and multivariable Cox proportional hazards models. Results: Among 177 patients, the 5-year OS was 39.6% and the median OS was 42.8 months. Median ALC declined from 1400 cells/µL at baseline to 800 cells/µL during radiotherapy (p < 0.01) and 700 cells/µL at a median of 0.7 months after radiation (p < 0.01). Partial recovery was observed at 1000 cells/µL at 3 months (p < 0.001) and 1000 cells/µL at 1 year (p < 0.01). Baseline ALC <1000 cells/µL was associated with worse OS on univariable analysis (p = 0.04) but not on multivariable analysis. Although 27% developed grade ≥ 3 lymphopenia within 3 months of radiation, the 5-year overall survival was 41.4% without lymphopenia versus 31.9% with lymphopenia (p = 0.60). On multivariable analysis, ECOG performance status (HR 1.9, p < 0.01), age (HR 1.04, p < 0.01), albumin (HR 0.6, p = 0.03), and pre-radiation chemotherapy (HR 3.1, p < 0.01) independently predicted overall survival. Conclusions: Comprehensive ISRT for oligometastatic disease was associated with a sustained decrease in median ALC. Treatment-related lymphopenia was not independently associated with OS in this heterogeneous cohort. The disease control benefit of metastasis-directed therapy may outweigh potential detrimental immunologic effects of radiation-induced lymphopenia. Full article

Background: Predicting long-term outcomes after pulmonary metastasectomy for colorectal cancer remains challenging because existing prognostic methods lack precision. We developed and validated a prognostic scoring system derived from a major international meta-analysis to improve risk stratification and to evaluate the benefit of adjuvant chemotherapy across risk groups. Methods: Using a Japanese registry of 819 patients who underwent lung resection between 2010 and 2019, we constructed a 0–13-point score based on eight variables including tumor size, number, biological markers, and intrathoracic lymph node status, which may require intraoperative or pathological confirmation. Granular data on chemotherapy regimens, timing, and duration were unavailable. Patients were classified as low, intermediate, or high risk. The primary analysis used inverse probability of treatment weighting to adjust for baseline imbalances; however, only 819 of 1657 patients (49.4%) had complete prognostic data, introducing potential selection bias. Results: The score separated patients into three groups with distinct five-year survival rates: 81.1% (low), 67.8% (intermediate), and 59.1% (high). In high-risk patients, chemotherapy was associated with improved overall survival but did not delay recurrence. In low-risk patients, chemotherapy correlated with reduced recurrence-free survival, a finding that persisted after adjustment. Conclusions: This validated scoring system aids individualized surgical decision making by identifying patients unlikely to benefit from routine postoperative chemotherapy. Observed survival advantages in high-risk patients may reflect selection of fitter individuals rather than direct treatment effects, underscoring the need to address selection bias in future trials. Full article

Artificial intelligence methods have attracted increasing interest in structural analysis. However, engineering applications still require reliable representation of irregular topology, actual member loads, mechanical consistency, and interpretable structural response quantities. This study develops a mechanically constrained graph neural network (GNN) method for 2D linear elastic static analysis of planar truss and building frame structures. The method represents the structural system as a graph and encodes nodes, members, boundary conditions, nodal loads, member stiffness, and actual member loads as graph features. A message-passing GNN predicts nodal DOF displacements, and the loss function includes free DOF equilibrium residuals and global equilibrium residuals to improve mechanical consistency. The workflow then recovers support reactions and member axial forces, shear forces, and bending moments from the predicted displacements through structural mechanics relations. Numerical examples show that the proposed method reduces equilibrium residuals and improves member force recovery compared with a displacement-supervised baseline. Ablation studies further confirm the roles of member load input, equilibrium constraints, and internal force recovery. The results show that graph representation, training constrained by equilibrium, and mechanics-based recovery can be integrated into an interpretable framework for structural static analysis. Full article

Background: Hypoxic–ischaemic brain injury (HI) is a major contributor to neurological deficits following stroke. Understanding what happens to the smallest functional and structural unit of the central nervous system in the face of oxygen and nutrient deprivation is essential to fully comprehend the pathogenesis of diseases and disorders associated with HI, such as ischaemic stroke. Aim: The aim of this study was to develop a robust in vitro tool for initial screening of potential therapeutics and identification of diagnostic markers of brain hypoxic injury. Methods: This study details and validates a comprehensive protocol for modelling HI using differentiated SH-SY5Y neuroblastoma cells (Neuron-like Cells, NLCs). First, we optimized the differentiation process and confirmed the maturity and purity of NLCs via standard molecular markers. The NLCs exhibited functional excitotoxicity, demonstrating a graded cell death response to N-methyl-D-aspartate (NMDA), thus validating their functional application. To simulate HI, we initially optimized the oxygen-glucose deprivation (OGD) treatment using graded concentrations of CoCl₂ (0.125 mM to 2 mM) in glucose-free media. The validated NLCs were then subjected to the refined OGD protocol (1 mM CoCl₂ in glucose-free media) for 3 h, followed by various periods of reoxygenation (1 h, 3 h, 6 h, 12 h, 18 h, and 24 h). Result: Bulk RNA-sequencing revealed a distinct temporal transcriptional response to HI. Injury-associated genes, including heat shock proteins and stress markers, were significantly (p < 0.05) upregulated at 3 h of reoxygenation, peaked at 6 h, and declined thereafter, remaining above baseline at 24 h. Upstream regulator analysis identified IL-1β, TNF-α, and HIF-1α as key drivers during OGD, with additional regulators emerging during reoxygenation. TNF-α and β-oestradiol were consistently identified across time points, while TGF-β1 and NTRK1 became prominent during peak injury and later phases. Analysis of secreted factors showed increased release of inflammatory (TNF-α) and neurotrophic (β-NGF, BDNF, VEGF) mediators with reoxygenation, while maximal cell death occurred at 24 h. Conclusions: This study identifies a transient, time-dependent transcriptional cascade following hypoxic–ischaemic injury, highlighting a critical window for early neuronal response. The model provides a reproducible platform for studying neuronal injury and recovery, and identifies known (TNF-α, IL-β, and HIF-1α), context-specific (NTRK1 and TGF-β) and novel (β-oestradiol) regulators of the injury response with potential relevance for therapeutic targeting. Full article

Objectives: Depressive symptoms are common among middle-aged and older adults. This study examined the associations of family structure and its transitions with depressive symptoms, and the mediating role of intergenerational support. Methods: Participants were drawn from the first five waves of CHARLS. Family structure and transitions were assessed at baseline (Wave 1) and Wave 2. Outcome was defined as new-onset depressive symptoms occurring after Wave 2 among participants who were free of depressive symptoms at both Wave 1 and Wave 2. A Cox proportional hazards model was used to examine the association between family structure/transitions and incident depressive symptoms. Parallel mediation analysis was conducted to examine the potential mediating effects of intergenerational support. Results: Compared with two-generation households, skipped-generation households were associated with a higher risk of depressive symptoms in older adults (HR = 1.30, 95% CI: 1.04–1.63), and transitions from two-generation to skipped-generation households were also associated with a higher risk (HR = 1.54, 95% CI: 1.06–2.23). Emotional support partially mediated this association. Conclusions: Older adults living in or transitioning to skipped-generation households are associated with a higher risk of depressive symptoms, suggesting that public health efforts should prioritize skipped-generation households and the processes leading to their formation. Full article

Ash-free net heat content (AF-NHC) represents the combustible heat content of plant biomass and is an important parameter in fire behavior and fire effects modeling. Despite its widespread use, little information exists regarding seasonal and regional variation in AF-NHC among common woody fuels of the southeastern US. This study quantified seasonal and regional variation in AF-NHC among five common woody species in eastern Texas: yaupon (Ilex vomitoria), greenbrier (Smilax spp.), eastern red cedar (Juniperus virginiana), Chinese privet (Ligustrum sinense), and escarpment live oak (Quercus fusiformis). Foliage samples were collected during the dormant and growing seasons across the Pineywoods, Post Oak Savannah, and Blackland Prairie ecoregions and were analyzed using oxygen bomb calorimetry. Linear mixed-effects models evaluated species, season, and species × season effects while accounting for regional variation. AF-NHC ranged from 17.35 to 19.92 MJ kg⁻¹ and differed significantly among species and seasons, with distinct species-specific seasonal trajectories (p < 0.05). Regional variation accounted for approximately 41% of total model variance, indicating that environmental conditions influence fuel thermal properties. AF-NHC was greatest in yaupon and red cedar, intermediate in privet and greenbrier, and lowest in live oak. Although AF-NHC likely exerts less influence on fire behavior than fuel consumption and the rate of spread, species-specific differences in combustible heat content may contribute to variation in potential heat release and fuel combustibility. These findings provide baseline AF-NHC values for common eastern Texas woody fuels and improve the understanding of spatial and temporal variation in fuel thermal properties relevant to fire effects and wildfire hazard assessment. Full article

Hands-free command interfaces are essential for users who cannot reliably operate joysticks or upper-limb myoelectric control. Neck–shoulder surface electromyography (sEMG) is a promising alternative; however, performance is often reported using window-level validation which can overestimate accuracy due to overlap and trial leakage, and false-trigger behavior is not always quantified when an idle REST state is included. This pilot study presents a motion-capture (MoCap)-referenced decoding framework that uses four bilateral upper trapezius (UT) and sternocleidomastoid (SCM) sEMG channels with integrated inertial measurement units (IMUs). Optical MoCap was used as an external kinematic reference to support baseline-posture assessment and movement-execution quality control. Seven commands were decoded (shrug L/R, double shrug, rotation L/R, rotation + shrug L/R). To enable an eight-class formulation, a REST class was defined using low-activity segments extracted from baseline recordings and included in the evaluation. Computationally efficient time-domain sEMG features, pattern/symmetry descriptors, and baseline-referenced IMU kinematics (including an SCM yaw-range indicator) were classified using linear discriminant analysis (LDA), k-nearest neighbors (kNN), and linear support vector machine (SVM), evaluated using within-subject testing, trial-wise grouped cross-validation, and leave-one-subject-out (LOSO) testing. Across six participants, within-subject mean best-per-subject accuracy was 96.02% (seven-class) and 96.35% (eight-class); and pooled trial-wise accuracy reached 92.1% and 90.5%, respectively. Under LOSO, best-configuration accuracy decreased to 60.4% and 63.8% for the seven-class and eight-class formulations, respectively. Across the top LOSO configurations, REST FAR ranged from approximately 9.8% to 25.6%. These findings demonstrate controlled offline pilot feasibility and quantify key generalization and REST false-activation trade-offs, providing a foundation for future validation in larger, more diverse, and clinically relevant populations. Full article

Background/Objectives: Neoadjuvant cisplatin-based chemotherapy (NAC) followed by radical cystectomy (RC) is a standard treatment for cisplatin-eligible patients with muscle-invasive bladder cancer (MIBC), yet baseline tools to refine prognostic stratification remain limited. We aimed to develop and internally validate a clinicopathological nomogram integrating the neutrophil-to-lymphocyte ratio (NLR) to estimate event-free survival (EFS) in patients with MIBC treated with NAC. Methods: We retrospectively analyzed 210 patients with cT2–T4aN0–1M0 MIBC treated with cisplatin-based NAC at two Spanish institutions between 2010 and 2021. Candidate predictors included demographic, clinicopathological, and routine laboratory variables. A multivariable Cox model with backward selection based on the Akaike information criterion (AIC) was used to derive the final model, and internal validation was performed using 1000 bootstrap resamples. Results: Sex, age, prior non–muscle-invasive bladder cancer (NMIBC), and NLR were retained in the final nomogram. The model showed moderate discrimination, with a Harrell’s c-index of 0.60 and an optimism-corrected c-index of 0.58. The nomogram stratified patients into low-, intermediate-, and high-risk groups, with median EFS not reached, 47.5 months, and 18.0 months, respectively. High-risk patients also showed lower pathological complete response (pCR) rates. Conclusions: This exploratory nomogram integrates an accessible systemic inflammatory marker with baseline clinical variables to identify patients with poorer outcomes despite NAC. External validation in contemporary cohorts is warranted before clinical implementation. Full article