Search Results (6,783)

This study aimed to implement an effective power prediction method to support the optimal management of the 30 MW Nagréongo solar photovoltaic (PV) plant in Burkina Faso. Initially, the performance of the PV plant was assessed by an external consultant based on data recorded in 2023 and 2024, revealing efficiency with a performance ratio (PR) of 73.73% in 2023, which improved to 77.43% in 2024. To forecast the plant’s power output, several deep learning models—namely LSTM, a GRU, LSTM-GRU, and an RNN—were applied using historical power data recorded at five-minute intervals during the 2024 periods of January–February; March–April; and July–August. All the deep learning models achieved accurate short-term forecasting for the 30 MW Nagréongo PV plant, with the seasonal performance shaped by the Sahelian weather regimes. The GRU performed best during the dry season (nRMSE ≈ 4%) and LSTM excelled in the hot months (nRMSE ≈ 2%), while the hybrid LSTM-GRU model proved most robust under rainy-season variability. Overall, the forecasting errors remained within 2–5% of plant capacity, demonstrating the suitability of these architectures for grid integration and operational planning in Sahel PV systems. Full article

Artificial intelligence (AI) is an important tool for improving agricultural tasks. In particular, object detection methods based on convolutional neural networks (CNNs) enable the detection and classification of objects directly in the field. Combined with unmanned aerial vehicles (UAVs, drones), these methods allow efficient crop monitoring. The primary challenge is to develop models that are both accurate and feasible under real-world conditions. This study addresses this challenge by evaluating marigold flower detection using three groups of CNN detectors: canonical models, including YOLOv2, Faster R-CNN, and SSD with their original backbones; modified versions of these detectors using DarkNet-53; and modern architectures, including YOLOv11, YOLOv12, and the RT-DETR. The dataset consisted of 392 images from marigold fields, which were manually labeled and augmented to a total of 940 images. The results showed that YOLOv2 with DarkNet-53 achieved the best performance, with 98.8% mean average precision (mAP) and 97.9% F1-score (F1). SSD and Faster R-CNN also improved, reaching 63.1% and 52.8%, respectively. Modern models obtained strong results: YOLOv11 and YOLOv12 reached 96–97%, and RT-DETR 93.5%. The modification of YOLOv2 allowed this classical detector to compete directly with, and even surpass, recent models. Precision–recall (PR) curves, F1-scores, and complexity analysis confirmed the trade-offs between accuracy and efficiency. These findings demonstrate that while modern detectors are efficient baselines, classical models with updated backbones can still deliver state-of-the-art results for UAV-based crop monitoring. Full article

Magnetohydrodynamic (MHD) flow and heat transfer in porous media are central to many engineering applications, including heat exchangers, MHD generators, and polymer processing. This study examines the boundary layer flow and thermal behavior of an electrically conducting viscous fluid over a porous stretching tube. The model accounts for nonlinear thermal radiation, internal heat generation/absorption, and Darcy–Forchheimer drag to capture porous medium resistance. Similarity transformations reduce the governing equations to a system of coupled nonlinear ordinary differential equations, which are solved numerically using the BVP4C technique with Response Surface Methodology (RSM) and sensitivity analysis. The effects of dimensionless parameters magnetic field strength (M), Reynolds number (Re), Darcy–Forchheimer parameter (Df), Brinkman number (Br), Prandtl number (Pr), nonlinear radiation parameter (Rd), wall-to-ambient temperature ratio (rw), and heat source/sink parameter (Q) are investigated. Results show that increasing M, Df, and Q suppresses velocity and enhances temperature due to Lorentz and porous drag effects. Higher Re raises pressure but reduces near-wall velocity, while rw, Rd, and internal heating intensify thermal layers. The entropy generation analysis highlights the competing roles of viscous, magnetic, and thermal irreversibility, while the Bejan number trends distinctly indicate which mechanism dominates under different parameter conditions. The RSM findings highlight that rw and Rd consistently reduce the Nusselt number (Nu), lowering thermal efficiency. These results provide practical guidance for optimizing energy efficiency and thermal management in MHD and porous media-based systems.: Full article

Background/Objectives: Advanced hepatocellular carcinoma (HCC) presents limited treatment options; however, immunotherapy demonstrates encouraging outcomes and acceptable adverse reactions in advanced HCC. This study evaluates the efficacy and safety of combining serplulimab, the bevacizumab biosimilar HLX04, and hepatic arterial infusion chemotherapy (HAIC) as a first-line therapy. Methods: This prospective, observational, single-center phase II trial enrolled untreated HCC patients with Barcelona Clinic Liver Cancer (BCLC) stage C. All patients received serplulimab (4.5 mg/kg) and HLX04 (15.0 mg/kg) every 3 weeks, followed by the HAIC-FOLFOX regimen. The primary endpoint was the objective response rate (ORR). Secondary endpoints included the disease control rate (DCR), progression-free survival (PFS), and safety. Results: A total of 32 patients were enrolled. The best outcomes showed an ORR of 53.1%, including 17 partial responses (PR, 53.1%) and 12 stable diseases (SD, 37.5%), resulting in a DCR of 90.6%. Subgroup analysis showed a higher ORR in patients with a single lesion and those receiving ≥3 treatment cycles, with an ORR of 60.7% in the latter group. Additionally, five patients underwent successful hepatectomy after ≥3 treatment cycles, with postoperative pathology confirming extensive tumor necrosis. Kaplan–Meier analysis estimated PFS rates of 89.9% (95% CI: 79.5–100.0%) at 6 months and 70.8% (95% CI: 54.2–92.4%) at 12 months. No deaths related to adverse events (AEs) occurred; four (12.5%) patients experienced grade IV AEs and twelve (37.5%) patients experienced grade III AEs. Conclusions: Serplulimab, HLX04, and HAIC combined as a first-line treatment for advanced HCC have demonstrated promising efficacy, particularly in patients completing ≥3 cycles, with an acceptable safety profile. Further investigation in larger trials is required. Full article

The increasing demand for sustainable agriculture has accelerated research into eco-friendly plant health management, particularly through natural substances rich in bioactive compounds. In this study, various substances, including essential oils, extracts from Aloe vera, artichoke and ornamental plants, by-products from beer and coffee processing, and selected commercial formulations including biostimulants and a plant strengthener, were evaluated for their antimicrobial properties and ability to trigger plant defenses. Notably, Agapanthus spp. exhibited strong antifungal activity against the fungus Botrytis cinerea (Bc), while thyme, tea tree, and lavender essential oils were effective against both Bc and the bacterium Pseudomonas syringae pv. tomato (Pst). Greenhouse trials on tomato plants demonstrated the protective effects of A. vera gel and ornamental plant extracts against Bc and Potato virus Y (PVY), while coffee and artichoke extracts were effective against Pst. An alginate-based formulation containing thyme oil showed enhanced in planta efficacy against the three pathogens. Gene expression analyses revealed early upregulation of PR-1 and PR-4, especially with alginate treatments and A. vera gel at 12 h post-treatment (hpt) while coffee extract triggered the strongest late response at 72 hpt. These findings highlight the potential of plant-derived substances in promoting sustainable plant disease management through both direct antimicrobial action and immune system activation. Full article

Tea, a widely consumed beverage globally, is a vital agricultural product for many countries. Polyphenol oxidases (PPOs), copper-containing enzymes found in plants, fungi, and animals, are essential for physiological metabolism and enzymatic browning in tea plants (Camellia sinensis). Codon usage bias (CUB), a key evolutionary characteristic, offers valuable insights into species evolution and gene function. However, the codon usage patterns of Camellia sinensis polyphenol oxidase (CsPPO) genes remain undocumented. In this study, we conducted, for the first time, a comprehensive analysis of CUB in 24 CsPPO genes, comparing their CUB profiles with those of other Camellia species (Camellia lanceoleosa, Camellia nitidissima, Camellia ptilophylla) and non-Camellia species (Actinidia chinensis, Cornus florida, Rhododendron vialii) to elucidate potential evolutionary relationships and functional constraints influencing CUB. Nucleotide composition analysis revealed an AT-rich bias, with a preference for G/C-ending codons at the third position. Codon usage indices indicated low expression levels and weak CUB. RSCU and RFSC analyses revealed that the preferred and high-frequency codons were mostly G/C-ending. Codon usage frequency analysis suggested Zea mays as a suitable host for CsPPO gene expression. ENC-GC3s, PR2, and neutrality plots showed natural selection had a stronger impact than mutation on CUB. Additionally, measure independent of length and composition (MILC) values confirmed low PPO gene expression levels, and correlation analyses demonstrated that both nucleotide composition and gene expression affect CUB. Overall, codon usage in CsPPO genes is mainly shaped by natural selection, with weak bias and low expression potential, providing useful insights for future genetic engineering and heterologous expression. Full article

Fusarium wilt disease, caused by Fusarium oxysporum f. sp. cucumerinum (FOC), leads to widespread yield losses and quality deterioration in cucumber. Endophytes, as environmentally friendly control agents that enhance pathogen resistance in their host plants, may mitigate these problems. In this study, we isolated 14 endophytic bacteria from invasive Ambrosia artemisiifolia and screened the strain Bacillus subtilis TCX1, which exhibited significant antagonistic activity against FOC (inhibitory rate of 86.0%). TCX1 killed Fusarium oxysporum by being highly likely to produce lipopeptide and producing wall hydrolytic enzymes including protease, cellulase, and β-glucanase, thereby inhibiting mycelial growth and spore germination and causing peroxidation of FOC’s cytoplasmic membrane. In addition to its direct effects, TCX1 exerts indirect effects by inducing cucumber resistance to FOC. When cucumber seedlings were inoculated with TCX1, antioxidant enzymes related to disease resistance, including Superoxide dismutase (SOD), Peroxidase (POD), Polyphenol oxidase (PPO) and Phenylalanine ammonialyase (PAL) in cucumber, were significantly increased. The marker genes involved in induced systemic resistance and the salicylic acid signaling pathway, such as npr1, pr1a, pr2, pr9, lox1, and ctr1, were also dramatically upregulated, indicating these pathways played an important role in improving cucumber resistance. Notably, TCX1 can also promote cucumber growth through producing indole-3-acetic acid, solubilizing phosphate, and secreting siderophores. Given that TCX1 has dual functions as both a biological control agent and a biofertilizer, it offers an effective strategy for managing cucumber seedling blight while enhancing plant productivity. Full article

Background/Objectives: Mesalazine agents are essential drugs for treating ulcerative colitis (UC). Biomarkers that can differentiate mesalazine intolerance from exacerbated UC are needed because of the similarity of their symptoms and increasing prevalence of mesalazine intolerance. The study aim was to assess the usefulness of proteinase 3 antineutrophil cytoplasmic antibody (PR3-ANCA) to identify mesalazine intolerance in patients with UC. Methods: In this single-center retrospective study, patients with UC in whom serum PR3-ANCA was measured were included, and the serum levels were compared between the mesalazine-intolerant and -tolerant patient groups. The predictability of the marker to discriminate between these patients was analyzed. Results: Among 406 patients with UC with measured serum PR3-ANCA levels, 68 (17%) had mesalazine intolerance. The PR3-ANCA levels were significantly higher in the intolerance group than in the tolerance group [4.5 U/mL (0.8–26.2 U/mL) vs. 1.5 U/mL (0.0–8.5 U/mL), p = 0.001]. The area under the curve of the receiver operating characteristic curve analysis of the predictability of PR3-ANCA in differentiating mesalazine-intolerant patients from clinically active patients with UC was 0.755 (95% confidence interval: 0.634–0.876, cutoff value: 15.05 U/mL; sensitivity: 0.625, specificity: 0.813). Multivariate logistic regression analysis using various clinical factors revealed that serum PR3-ANCA > 15.0 U/mL was an independent risk factor of mesalazine intolerance (odds ratio: 8.25, 95% confidence interval: 2.52–27.02, p < 0.001). Conclusions: Serum PR3-ANCA could be a useful marker to identify mesalazine-intolerant patients with UC. Full article

As the production of electric vehicles grows, the rare earth elements Pr and Nd become increasingly significant, as they are key in magnetic materials production. In order to achieve the green and efficient recovery of Pr and Nd from the rare earth leachate, this paper selected kaolinite and halloysite as adsorbents to conduct rare earth solution adsorption experiments for exploring the effects of the initial leachate concentration, the solution pH, and the adsorption temperature on the adsorption process. The adsorption characteristics of Pr and Nd by clay minerals were analyzed by quantum chemical calculation. The results showed that the adsorption effects of clay minerals on Pr and Nd decreased with the rise of leachate concentration. When leachate pH increased, the adsorption efficiency of kaolinite and halloysite for Pr firstly increased and then decreased, and the optimal adsorption efficiency was 13.33% and 24.778% at pH 6, respectively. The adsorption effects of kaolinite and halloysite on Nd enhanced gradually with the increase in pH, which increased to 15.925% and 30.482% at pH 7, respectively. With temperature increased, the adsorption of Pr and Nd by kaolinite and halloysite was positively correlated. The isothermal adsorption model was fitted to the experimental data, and it was found that the adsorption of Pr and Nd by kaolinite and halloysite was consistent with the Langmuir model, with R² above 0.96, indicating that the adsorption process was a single molecular layer adsorption. The results provide theoretical support for the effective recycling of Pr and Nd, which is of great significance for the utilization of rare earth resources in permanent magnets. Full article

Introduction: The impact of locoregional treatment (LRT) on survival in de novo bone-only metastatic breast cancer (dnBOMBC) is controversial. This study aims to assess the effect of LRT on survival, utilizing international, prospectively acquired data in this cohort of patients. Materials and Methods: Patients with dnBOMBC were divided into two groups: those receiving systemic therapy only (ST) and those undergoing LRT. Further, patients who received LRT were divided into two subgroups: those who received ST after LRT (LRT+ST group) and those who received ST prior to LRT (ST+LRT group). Factors associated with disease progression, including solitary or multiple bone metastases, were analyzed. Results: There was a total of 744 patients with dnBOMBC treated at each of the participating institutions between 2014 and 2022, with 372 (50%) participants in each arm. Median follow-up was 48 months (32–66, 25–75%). Patients in the LRT group were significantly younger than the ST group [50 (42, 60) vs. 55 (44, 66), p = 0.0001]. There were no significant differences in grade, HER2 status, triple-negative status, receipt of hormonal therapy, or intervention to metastatic sites. During follow-up, 58% (n = 217) of patients in the ST group and 32% (n = 120) of patients in the LRT group died (p < 0.001). Local progression was observed in 20% of the patients in the ST group, whereas 9% progressed in the LRT group (p = 0.0001). Systemic progression occurred more in the ST group; 66% (n = 244) compared to 41% (n = 152) of patients in the LRT group (p < 0.001). The hazard of death was 64% lower in the LRT group than in the ST group (HR: 0.36, 95% CI: 0.29–0.45, p < 0.0001). The burden of metastatic disease differed significantly between the two groups, with a higher rate of solitary bone metastases in the LRT group compared to the ST group (50% vs. 24%, p < 0.001). However, the LRT group had better overall survival (OS) for both solitary (HR: 0.38, 95% Cl: 0.26–0.55) and multiple (HR: 0.38, 95% Cl: 0.29–0.51) bone metastasis patients. Within the LRT group, survival rates were similar whether the breast surgery was performed before or after ST. Multivariate Cox analysis showed that LRT and ER/PR positivity significantly decrease the hazard of death (p < 0.05). Conclusions: Analysis of this large multi-institutional patient cohort provides further evidence that LRT is associated with longer OS and lower locoregional recurrence rates in patients with dnBOMBC. In breast cancer patients with bone-only metastases at presentation, the decision for LRT should be made through a multidisciplinary approach with consideration of surgical therapy at the primary tumor. Full article

Background: Stroke is a leading cause of seizures and epilepsy, both of which are linked to increased mortality, disability, and hospital readmissions. Early recognition and management of seizures in acute stroke are crucial for improving outcomes. Electroencephalogram (EEG) is not routinely used for post-stroke seizure monitoring and is typically initiated only after clinical suspicion arises, making bedside recognition essential. This scoping review aimed to map the existing literature on clinical methods used for identifying and observing early post-stroke seizures (EPSSs) at the bedside. Methods: We included literature involving adults with acute ischaemic stroke or primary intracerebral haemorrhage who were diagnosed or suspected of having inpatient EPSS. Searches were conducted in Medline, CINAHL, Embase, and the Cochrane Library for English-language publications up to April 2023. Eligible sources included primary research, case reports, systematic reviews, clinical guidelines, consensus statements, and expert opinion. Reference lists of included articles were also reviewed. Data were charted and synthesised to assess the scope, type, and gaps in the evidence. Results: Thirty papers met inclusion criteria: 17 research studies, six expert opinions, four case reports, and three clinical guidelines. Empirical evidence on clinical methods for seizure recognition and monitoring in acute stroke was limited. No studies evaluated the effectiveness of different approaches, and existing recommendations lacked detail and consensus. Conclusions: Accurate EPSS diagnosis is vital due to its impact on outcomes. This review highlights inconsistency in monitoring methods and a clear need for targeted research into effective clinical identification strategies in acute stroke care. Full article

Background/Objectives: Tacrolimus is the most used immunosuppressive agent in solid organ transplantation due to its efficacy in preventing acute rejection, but it has a narrow therapeutic range, and overexposure often leads to toxicities, including neurological side effects like tremors. Tremor affects up to 54% of renal transplant patients under tacrolimus. Extended-release tacrolimus (LCPT) has demonstrated efficacy in reducing tremor severity, as evidenced by studies employing quality of life (QoL) questionnaires, the Fahn–Tolosa–Marin (FTM) scale, and Accelerometer devices. The objectives of this study were to evaluate the benefits of the conversion to LCPT formulation in kidney transplant recipients experiencing tremors on prolonged-release tacrolimus (PR-TAC) treatment and to validate the DyCare device, a wearable wireless sensor for tremors. Results: The DyCare device measured tremor frequencies of 8.74 ± 0.11 Hz and 1.36 ± 0.08° and 17.38 ± 1.16°, as root mean square (RMSx100 for accelerometer and Gyroscope, respectively) in PR-TAC patients. After switching ten patients to LCPT, tremor severity significantly decreased, as confirmed by DyCare and the QoL in the Essential Tremor Questionnaire (QUEST). Additionally, LCPT allowed a 34% reduction in tacrolimus dosage while maintaining therapeutic trough concentrations. Immunological and pharmacodynamic biomarkers (p-miR-210-3p, p-IL10, p-IL12p70, p-IFNγ uCXCL10, NFAT-regulated gene expression) confirmed stable immunosuppression post-conversion. Conclusions: The conversion to the LCPT formulation significantly reduced tremors in kidney transplant recipients without altering their immunological status, as confirmed through a panel of immunologic and pharmacodynamic biomarkers. The DyCare device enables a precise quantification of tremors in transplant recipients, allowing physicians to optimize treatment strategies. Full article

Background: Depression is one of the most common mental disorders among undergraduate students, particularly those in medical training, who face high academic demands and emotional burdens. Biological factors such as lipid abnormalities have been proposed as contributors to depressive symptoms, although evidence in this group is scarce. Therefore, we aimed to evaluate the association between triglyceride and total cholesterol levels and depressive symptoms in medical students. Methods: We conducted a cross-sectional study including 219 medical students from a public university in Mexico. Depressive symptoms were assessed using the CESD-7 scale, validated in the Mexican population. Fasting triglyceride and total cholesterol concentrations were measured with the Accutrend Plus analyzer. Prevalence ratios (PRs) and 95% confidence intervals (CIs) were estimated using robust Poisson regression, adjusting for potential confounders. Results: Overall, 38.8% of students presented depressive symptoms. In adjusted continuous models, each 10 mg/dL increase in triglycerides was associated with a 4% higher prevalence of depression (PR = 1.04, 95% CI 1.03–1.06), while each 10 mg/dL increase in total cholesterol was associated with a 13% higher prevalence (PR = 1.13, 95% CI 1.05–1.21). Analyses using clinically relevant cutoffs confirmed these associations: triglycerides ≥ 150 mg/dL (PR = 1.76, 95% CI 1.24–2.48) and cholesterol ≥ 200 mg/dL (PR = 1.66, 95% CI 1.19–2.31). Conclusions: Dyslipidemias may play a relevant role in the mental health of young adults and highlight the importance of incorporating metabolic risk assessment into strategies to prevent and address depression in medical students. Full article

Acne vulgaris is a multifactorial disease with high heritability, but the genetic determinants of severity remain incompletely defined. This study evaluated 650 individuals genotyped with a 60-single-nucleotide polymorphism (SNP) panel covering immune, lipid, endocrine, and barrier pathways. Acne severity was graded as 1 (n = 193), 2–3 (n = 383), or 4 (n = 74). Single-SNP analysis highlighted associations in loci such as LHCGR (rs13405728), TGF-β2 (rs1159268), FST (rs38055), WNT10A (rs74333950), PIK3R1 (rs10515088), and THADA (rs13429458) and barrier-related variants (FLG, FLG-AS1). Epistasis analysis of 44 quality-controlled SNPs revealed 190 significant interactions (false discovery rate, FDR ≤ 0.10), with TLR4 as the main hub (degree = 22), bridging immune (IL10, TNF), lipid (PNPLA3, APOE), and barrier (FLG-AS1, OVOL1) genes. Polygenic risk scoring (PRS) showed a monotonic increase across severity grades, with Grade 4 displaying higher median scores (0.319) compared to Grade 1 (−0.129) and Grades 2–3 (0.034). Discrimination was modest but consistent (AUC: 0.661 for Grade 4 vs. 1; 0.662 vs. 2–3; 0.679 vs. all others). These results support a framework where microbial sensing, lipid metabolism, and barrier function converge to drive severe acne, underscoring the potential of genetic profiling for risk stratification and precision therapy. Full article

Phosphogypsum (PG) is a byproduct of the wet phosphoric acid (WPA) production process. Since PG originates from phosphate rock (PR), it holds various concentrations of heavy metal and radionuclide, posing an environmental threat because of its large production and long-term accumulation. In addition to toxic heavy metals, PG may also be an alternative source of rare earth elements (REEs), since over 60% of REEs in PR transfer to PG during acid digestion. With the increasing demand of phosphoric acid (PA), global PG generation is approaching 300 million tons annually. Since 1994, an estimated 6.73 billion tons of PG has been produced worldwide, with approximately 58% (approx. 3.7 billion tons) ending up in stacks. Assuming a conservative REE content of 0.1%, these stacks may hold over 3.7 million tons of REEs. This review discusses phosphoric acid production processes and the transfer of REEs from PR to PG. In addition, it also discusses the current REEs world reserves, their presence in primary and secondary sources, and their uses. The review critically evaluates the research that has been conducted so far and the recent innovations in REE recovery from PG, and discusses the challenges associated with scalability and raw material variability. Full article