The lignocellulosic agro-residues such as corn stover are indeed abundant but still recalcitrant due to the presence of lignin. In the present study a co-digestion of corn stover, dairy manure, tomato residues enriched with rumen microbiota was implemented to enhance production of biogas. In batch Biological Methane Production (BMP) assays (n = 3) the corn stover mixture yielded 196.41 mL/g VSadded, which corresponds to a 9.3-fold increase compared to corn stover alone. Moreover, corn stover mix in rumen fluid at different ratios of 4 Co-digestion improved corn stover conversion and biogas production. Rumen bioaugmentation further increased methane yield. Best BMP performance occurred at 4
In this work, sustainable aluminum-modified orange peels functionalized with graphene oxide (OP-Al-GO) were synthesized and evaluated for the removal of Methylene Violet (MV) and Reactive Red 120 (RR120) from aqueous solutions. Adsorption performance was systematically investigated in single-dye systems, binary dye mixtures, and real textile wastewater samples, and compared with that of orange peels (OP), orange peel-aluminum composite (OP-Al), and graphene oxide (GO). pHpzc analysis clarified the surface charge of the adsorbent, while SEM and FTIR showed that the incorporation of aluminum and GO increased roughness and functional groups appearance, enhancing dye adsorption and confirming successful interactions. The OP-Al-GO composites exhibited improved removal efficiency for both dyes (64.8% for RR120 and 96.2% for MV) at pH 3.0. The presence of aluminum improved structural stability and surface charge regulation, while graphene oxide contributed to multiple adsorption mechanisms, including electrostatic attraction and pi-pi interactions. The adsorption kinetics were found to follow a pseudo-second-order (PSO) kinetic model for RR120 and an intraparticle-diffusion model (IPD) for MV, while isotherm analysis revealed a Langmuir behavior for MV and a Freundlich behavior for RR120. Langmuir maximum adsorption capacities were 298.7 and 10.8 mg/g for MV and RR120, respectively. High removal efficiency was maintained in binary dye mixtures, with OP-Al-GO achieving 96.9% removal of MV and 85.7% of RR120. Furthermore, the proposed adsorbent was tested on real wastewater samples, and the results highlight that the proposed adsorbents are promising, low-cost, and environmentally sustainable for textile wastewater treatment.
The 11th Cardiovascular Outcome Trial (CVOT) Summit: Congress on Cardiovascular, Kidney, and Metabolic Outcomes was held virtually on November 20-21, 2025. The Summit provided a multidisciplinary forum to review and discuss recent outcome trials investigating emerging pharmacological therapies targeting diseases of the cardiovascular-kidney-metabolic (CKM) continuum. This report highlights the unique developments of 2025 discussed during the Summit, including the first head-to-head CVOT (SURPASS-CVOT), the growing evidence base for combination therapies across the disease spectrum, new insights into the inflammatory component of the CKM syndrome, and relevant policy developments. The first part of this report summarizes pioneering clinical trials addressing combination therapy with finerenone and empagliflozin (CONFIDENCE), the oral glucagon-like peptide-1 (GLP-1) receptor agonists orforglipron (ATTAIN-1), and the aldosterone synthase inhibitor (ASI) baxdrostat (BaxHTN). The second part presents recent guideline and policy developments discussed by experts in endocrinology, diabetology, cardiology, nephrology, hepatology, and general practice. In addition, advances in medical technology, particularly in continuous glucose and ketone monitoring, are highlighted, as well as emerging therapies for diseases of the CKM continuum. These include pharmacological agents for a broad spectrum of metabolic disorders such as metabolic liver disease and type 1 Diabetes (T1D) alongside emphasis on the importance of early detection and innovative treatment strategies. The 12th Cardiovascular Outcome Trial Summit will be held virtually on 19-20 November 2026 (http://www.cvot.org).
Computer vision and sensor technology advancements have enabled significant progress in 3D reconstruction. However, critical challenges remain when extending these methods to underwater environments. This paper addresses the disparities between terrestrial and underwater 3D reconstruction by presenting a novel comparative framework that evaluates identical objects in these distinct settings under real-world conditions. To mitigate underwater-specific challenges such as light absorption, scattering, and reduced image clarity, a new enhancement methodology combining RGB stretching and Contrast Limited Adaptive Histogram Equalization (CLAHE) is proposed. Experimental results demonstrate that the enhancement increased processing time by 2.99
In this study, the annual and seasonal characteristics of meteorological drought are investigated using complex network theory. The analysis is based on the initial reconnaissance drought index (RDI), which is defined as the ratio of precipitation to potential evapotranspiration. This time series is subsequently transformed into a complex network through the visibility graph algorithm. The proposed framework is evaluated against the widely used standardized RDI, which assumes an underlying probability distribution based on the estimated mean and standard deviation. By examining the relationship between the standardized RDI and the topological properties of the resulting network, it is demonstrated that closeness centrality can serve as an effective indicator of drought intensity, while betweenness centrality provides useful information for detecting drought cyclicity and temporal transitions. A notable advantage of the proposed methodology is its robustness to non-stationary time series, whereas the standardized RDI is sensitive to deviations from stationarity.
