Irregular Forms Research Articles

Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model

Crack segmentation is essential for preventive maintenance in various civil and industrial applications. It makes it possible to identify and divide structural cracks or defects. Complicated sceneries, such as cracks with an irregular form, complicated image environments, and constraints in obtaining global contextual information, affect the performance of crack segmentation. This research proposes an Enhanced-YOLOv8 called YOLOv8-MHSA-TA to reduce the effects of these factors and offer quasi-real-time concurrent identification and segmentation of different crack types. The suggested network uses triplet attention (TA) and multi-head self-attention (MHSA) mechanisms, to enhance YOLOv8’s performance. To evaluate the proposed approach and test its generalization ability, nine public datasets comprising images of civil and industrial structures were collected, including CracK500, Crack3238, Crack Forest Dataset, Deepcrack, Rissbilder, Volker, Sylvie, Magnetic Tile, and Pipeline Gamma Radiography Images. The datasets contain images with cracks of various sizes, shapes, sorts, lighting situations, and orientations. Applying the suggested enhanced YOLOv8 model’s capabilities, cracks are detected and segmented successfully in the examined images. The results demonstrate that, for the Crack500 and Magnetic tile datasets, the suggested model’s segmentation Mean Average Precision (mAP50) is 10.1 and 26.4% higher than that of the original YOLOv8 models. The suggested model was compared with YOLOv8-MHSA, YOLOv8-TA, and the original YOLOv8 models, as well as with other published networks. The outcomes demonstrate that our approach outperforms previously published work and enhances crack segmentation. The outcomes demonstrate that our method outperforms prior published work and enhances crack segmentation when considering the diverse dataset.

Synthesis, Characterization, and Biomedical Applications of Bacteriocin-Selenium Nanoconjugates.

The antibiotic overuse in hospitals, the food industry, and animal feed over past times has led to a significant rise in the incidence of antibiotic-resistant bacteria. To address these potentially life-threatening antibiotic-resistant illnesses, a quick identification and development of novel antimicrobials are necessary. The aim of this study was to synthesize a novel bacteriocin-nanoconjugates by combining selenium nanoparticles with purified bacteriocin from the Enterococcus faecium SMAA23 and investigate some of its biomedical activities. The nanoconjugates were characterized via X-ray diffraction (XRD), transmission electron microscopy (TEM), energy dispersive X-ray desorption (EDX), and zeta potential analytical techniques. There is investigation of the antibacterial, antifungal, and anticancer properties of nanoconjugates. Purified bacteriocin has a known molecular weight of approximately 43,000 Daltons. The characterization of nanoparticles and nanoconjugates was performed. The crystallite size of nanoconjugate was determined via X-ray diffraction (XRD) to be 15.29nm. Transmission electron microscopy (TEM) detected particles of irregular form of nanoconjugate, measuring between 11 and 24nm in diameter. Energy dispersive X-ray spectroscopy (EDX) confirmed the presence of selenium and protein. The measured zeta potential was - 12.1 + 0.12mV. The results revealed potent antibacterial activity against Acinetobacter baumannii, with a growth inhibition zone of 23mm ± SD. A minimum inhibitory concentration (MIC) of nanoconjugate was 15.625µg/mL, while a minimum bactericidal concentration (MBC) was 31.25µg/mL. The application of scanning electron microscopy (SEM) enhanced the rupture of the bacterial cell wall. The antifungal activity against C. albicans and C. tropicalis resulted in growth inhibition zones of 14mm and 16mm (± SD), respectively. Various concentrations of the nanoconjugate strongly inhibited MDA-MB-231 cells in the MTT experiment. The novel synthesized bacteriocin-nanoconjugates exhibited substantial antibacterial, antifungal, and anticancer properties.

Morphological optimization of CuO-Y2O3 BPMO composites for enhanced MIS diode performance

The development of techniques for synthesizing nanomaterials with convertible characteristics has resulted from the need to enhance photodiode performance. In this article, we presented the synthesis of CuO-Y2O3 nanocomposites for optoelectronic applications using feasible low-temperature co-precipitation technique. In A cubic phase structure for pure Y2O3 and a orthorhombic structure for CuO-Y2O3 composite have been proven to exist based on XRD patterns with predominant orientations along the directions (2 2 2) and (1 2 1), respectively. Dual phase polycrystalline structure with cubic and orthorhombic crystals is seen for samples of CuO with Y2O3 of various compositions. In the CuO composite with Y2O3, FESEM images reveal the existence of thorn-like, rectangular, irregular rectangular forms, and discrete shaped particles. The appearance of two predominant stretching vibrations of both CuO-Y2O3 and Y2O3 obtained from the FT-IR spectra at 555 cm−1 and 493 cm−1 respectively. The 75–25 composition of Cu-Y sample has the lowest band-gap energy (1.944 eV), according to UV-DRS spectra. Two significant peaks with binding energies 158.88 eV (for Y3d3/2) and 157.08 eV (for Y3d5/2) are evidenced in the Y3d XPS peak fit. According to the results of the I–V investigation, the p-Si/Al interface contains CuO-Y2O3 nanocomposites, which enhance the MIS diode’s performance. The developed photo-detectors are ideally suited for nano-electronic applications due to their superior optoelectronic characteristics.

Hybrid synthesis of Carboxymethylated-Lignin-Tetra ethoxysilane nanocomposite for adsorption of hexavalent chromium

Lignin derived from hybrid Napier grass (HNG) was used for the surface modification by carboxymethylation and furtherto develop environment-friendly carboxymethylated lignin-tetra ethoxysilane (TEOS) nanocomposites (CML-T). UV–visible spectroscopy, FT-IR, XRD, DLS, and TEM were used to characterize the hybrid nanocomposites. The average diameter of the CML-T nanocomposite particles were found to be between 140 and 230 nm. XRD spectra and TEM micrographs confirmed the irregular form and high degree of crystallinity of the nanocomposite. Next, using response surface methodology (RSM), the adsorption of Cr(VI) from aqueous solutions employing CML-T nanocomposite was optimized. The maximum Cr(VI) adsorption capacity was found to be 51.3 %.The deposition of Cr(III) on the nanocomposite, which is thought to be Cr(OH)3 precipitate in nano size, was found by EDX analysis. The kinetic study showed that the pseudo-first-order kinetic model was well fitted to the Cr(VI) adsorption on the CML-T nanocomposite. The Langmuir isotherm model suited the adsorption data well (R2 = 0.9878). According to thermodynamic analysis, the adsorption process was exothermic and spontaneous, suggesting that it is less favorable at higher temperatures. It is expected that the cost-effective techniques for altering lignin-based nano-adsorbents would function as suitable alternatives for eliminating Cr ions from wastewater.

Additive Manufacturing Oriented Parametric Design Automation of Adaptive Joint System for an Irregular Form Gridshell Structure

In architectural engineering, triangular tessellation using polygon mesh topology is one of the commonly used computational geometric approaches to simplify a free curved building façade into flat triangular facets and their subsequent straight edges. In such a façade system, exterior panels are supported by a network of profiles that correspond to their edges hidden behind the panels at an offset distance. A group of profiles, derived from the edges common to a node point of tessellated panels (i.e., the outermost panels enveloping the building), may dislocate from each other when offset from their original locations due to non-coplanar alignment and unique offset directions and distances. This dislocation problem gives rise to geometric complications in nodal connector design in addition to varying in the connected profile count and orientations. Design considerations regarding the effects of ’offset vertex dislocation’ (i.e., the dislocation of the edges when it offsets from the original topology due to incoherent normal direction) should incorporate proper variables in the correct sequence based on a fundamental understanding that causes the dislocation problem. However, it is very often these topological problems pertaining to offset that are neglected, leading to subsequent design flaws. Such oversights diminish the inherent strengths of DfMA (design for manufacture and assembly) and design automation. This study develops a computational mathematical approach aimed at addressing the geometric complexities in nodal connector design. It focuses on two main areas: the precise positioning of substructure profiles essential for the design and a design automation approach that minimizes the length of the nodal connector arms to enhance 3D printing productivity. A life-scale proof-of-concept structure based on an automated parametric design process that implements the research findings demonstrates the application, incorporating 3D-printed PA12 (Polyamide-12) nodal connectors.

Crystallization Kinetics of Lithium Carbonate in a Continuous Stirred-Tank Crystallizer

Lithium carbonate is an important material in the lithium battery. The materials can be obtained from a reactive crystallization process. To prepare the higher-quality crystals, such as purity, crystal size distribution, and desired morphology, it needs to be controlled effectively in the crystallization process. Therefore, a study of crystallization kinetics was required. Here, the metastable region was explored first. Subsequently, a LiCl-K2CO3-H2O reaction system in a continuous stirred-tank crystallizer with controlling pH was used to study the crystallization kinetics, such as nucleation rate (B0), agglomeration kernel (β), and crystal growth rate (G), which can be determined with measured crystal size distribution at a steady-state condition using an agglomeration population balance model. The process variables include lithium chloride solution flow rate, potassium carbonate solution flow rate, and stirring speed. The results show that B0, β, and G were in the range of 3.47 × 109–5.98 × 1012 no/m3·s, 1.78 × 10−19–1.20 × 10−12 m3-slurry/no·s, and 3.00 × 10−11–2.11 × 10−10 m/s, respectively, depending on the operating conditions. All relative supersaturations were in the range of 1.22–2.04. In addition, the crystal size observed was found to be in the range of 1.28–32.7 μm, with irregular platelet forms in most cases. In addition, more slurry density can be obtained at the feed rate of 40 mL/min. A linear regression for crystallization kinetics was also discussed in this work. Finally, this process demonstrated that the recycling of lithium was possible for a circular economy. Therefore, the result can be used as a reference for larger-scale operations in industry.

Gravimetric Characterization of Solid Waste in the Dump of the Municipality of Coari - Amazonas, Brazil

Objective: To estimate the gravimetric characterization of solid waste in the waste dump in the municipality of Coari, located in the state of Amazonas, in the region of the Middle Solimões, Brazil, and to evaluate the implications for sustainable management and management. Theoretical Reference: The main public policy bases related to solid waste treatment, from generation to final destination, were contextualized, as well as the scenarios regarding gravimetric composition, as well as the references to support a resolving horizon for materials of a recyclable nature. Method: This study addresses quantitative and qualitative analysis of the collected samples of solid waste destined to the landfill of the municipality of Coari - Amazonas, in accordance with the steps required by NBR 10.007/2004 and tabulation in Microsoft Excel. Results and conclusion: The results indicate that the majority is composed of organic material, followed by plastics and paper/cardboard, among other smaller fractions: glass, metals, wood, pointing to the need for the implementation of urgent recycling and composting practices, even if the municipality does not have an environmentally adequate destination. Implications of the research: In Brazil, even with the public policies already implanted, the great majority of the municipalities have not yet propitiated the extinction of their garbage dumps or have some irregular form as to the final destination of their solid residues. The gravimetric composition is one of the important tools for analyzing the composition of materials taken to the final destination, which is absent in many municipalities. Originality/value: Knowledge of the composition of the fractions of the solid waste generated is fundamental for guiding strategic actions and planning related to management and management, aligned with public policies that direct the practices of utilization from the generating source to the final destination, in order to avoid expansion or mitigate environmental impacts.

Temperature Distribution of Frozen Wall Formed by Irregular Hole Arrangement During In Situ Repair of Underground Shield Machine

In order to study the development law of the irregular hole freezing temperature field, combined with the shield solution project of the Nanjing Water Supply Corridor, the distribution characteristics and influencing factors of the irregular freezing temperature field of the river bottom shield machine are studied by numerical simulation. The following conclusions are obtained: (1) The extension length of the outer ring pipe is correlated approximately positively with the thickness and average temperature of the freezing wall at the bottom of the cup. The thickness increases by 0.25 m, and the average temperature decreases by 1.25 °C for every 1 m increase in the extension length. (2) The intersection time decreases logarithmically with the increase in the extension length of the outer ring tube. (3) As the ratio of the axial angle between the two adjacent tubes in the weak area of the outer ring tube becomes larger, the temperature of the weak point in the center of the two tubes increases approximately linearly. The midpoint temperature of the two tubes increases by 3.3 °C for every 1 increase in the angle coefficient. (4) With the increase in the opening angle of the inner ring hole, the thickness and average temperature change, respectively, at 150 d are not more than 0.15 m and 0.6 °C. The results show that under the irregular freezing form, the angle and length of the outer ring pipe have a great influence on the temperature field, and the angle of the inner ring pipe has little influence on the final distribution of the temperature field. The average temperature and the temperature distribution of the weak points show a trend of decreasing first and then increasing along the shield advancing direction, reaching a minimum near the cutterhead.

Nonlinear Static Analysis of RC Buildings: Effects of Soil Type and Seismic Code Differences on Structural Performance

Reinforced concrete (RC) building construction remains predominant in Northern Cyprus, offering resilience against natural disasters when appropriately designed and implemented. The study presents a seismic analysis of RC building models across different soil classes, stories, and configurations, according to multiple seismic design codes: Eurocode 8 (EC8), Northern Cyprus Seismic Code 2015 (NCSC-2015), and Turkish Buildings Earthquake Code 2018 (TBEC-2018). This paper compares regular and irregular forms of Moment Resisting Frame (MRF) and MRF combined with Shear Walls (MRF+SW) systems in various configurations. These configurations include G+3, G+7, and G+11 for regular buildings, and only G+11 for irregular buildings. Pushover analysis using ETABSv18 was employed to assess the base shear, plastic hinge behavior, and displacement. The results indicate that the regularity of the structures enhances resistance and longevity compared to irregular configurations, with shear walls augmenting resistance against earthquake loads in both regular and irregular buildings. Furthermore, soil class emerges as a significant factor influencing results across the codes. While variations among the codes were not consistently observed, EC 8 and TBEC-2018 often appeared more conservative, with TBEC-2018 demonstrating greater adaptability to advanced technologies and a more detailed parameter consideration.

Nonlinear Static Analysis of RC Buildings: Effects of Soil Type and Seismic Code Differences on Structural Performance

Reinforced concrete (RC) building construction remains predominant in Northern Cyprus, offering resilience against natural disasters when appropriately designed and implemented. The study presents a seismic analysis of RC building models across different soil classes, stories, and configurations, according to multiple seismic design codes: Eurocode 8 (EC8), Northern Cyprus Seismic Code 2015 (NCSC-2015), and Turkish Buildings Earthquake Code 2018 (TBEC-2018). This paper compares regular and irregular forms of Moment Resisting Frame (MRF) and MRF combined with Shear Walls (MRF+SW) systems in various configurations. These configurations include G+3, G+7, and G+11 for regular buildings, and only G+11 for irregular buildings. Pushover analysis using ETABSv18 was employed to assess the base shear, plastic hinge behavior, and displacement. The results indicate that the regularity of the structures enhances resistance and longevity compared to irregular configurations, with shear walls augmenting resistance against earthquake loads in both regular and irregular buildings. Furthermore, soil class emerges as a significant factor influencing results across the codes. While variations among the codes were not consistently observed, EC 8 and TBEC-2018 often appeared more conservative, with TBEC-2018 demonstrating greater adaptability to advanced technologies and a more detailed parameter consideration.

Stability Assessment in Aqueous and Organic Solvents of Metal-Organic Framework PCN 333 Nanoparticles through a Combination of Physicochemical Characterization and Computational Simulations.

Mesoporous metal-organic frameworks (MOFs) have been recognized as powerful platforms for drug delivery, especially for biomolecules. Unfortunately, the application of MOFs is restricted due to their relatively poor stability in aqueous media, which is crucial for drug delivery applications. An exception is the porous coordination network (PCN)-series (e.g., PCN-333 and PCN-332), a series of MOFs with outstanding stability in aqueous media at the pH range from 3 to 9. In this study, we fabricate PCN-333 nanoparticles (nPCN) and investigate their stability in different solvents, including water, ethanol, and methanol. Surprisingly, the experimental characterizations in terms of X-ray diffraction, Brunauer-Emmett-Teller (BET), and scanning electron microscopy demonstrated that nPCN is not as stable in water as previously reported. Specifically, the crystalline structure of nPCN lost its typical octahedral shape and even decomposed into an irregular amorphous form when exposed to water for only 2 h, but not when ethanol and methanol were used. Meanwhile, the porosity of nPCN substantially diminished while being exposed to water, as demonstrated by the BET measurement. With the assistance of computational simulations, the mechanism behind the collapse of PCN-333 is illuminated. By molecular dynamics simulation and umbrella sampling, we elucidate that the degradation of PCN-333 occurs by hydrolysis, wherein polar solvent molecules initiate the attack and subsequent breakage of the metal-ligand reversible coordination bonds.

Impacts of Land‐Use Change on Past and Future Carbon Stocks in the Tianshan North Slope Economic Belt

ABSTRACTTo study the connection between land use and regional ecological carbon stocks, predicting the future evolution of land use and understanding the trends of changes in carbon stocks are essential to environmental protection and sustainable development. However, the changes in carbon stocks within ecosystems driven by land‐use and land‐cover change (LUCC) are characterized by large uncertainties. This study took the Tianshan North Slope Economic Belt in Xinjiang Autonomous Region, China, as an example to investigate the spatiotemporal changes of carbon stocks and their relationship with LUCC, and used 11 variables in a Geo Detector model to analyze the drivers of spatial differentiation in carbon stocks. We trained six variables to predict the changes in carbon stocks under a natural development scenario (NDS) and ecological protection scenario (EPS) in 2030. The following results were obtained: (1) the land use was dominated by unused land in the 20‐year study period (2000–2020). Grassland showed a continuous decrease; unused land decreased and then increased, while others continued to increase. The most drastic change was for cropland, which was 7785 km2 (an increase of 39.76%), while grassland was reduced by 9402 km2 (a decrease of 9.05%). (2) Carbon stocks showed an increasing and then a decreasing trend, with an overall increase of 2.05 × 106 t. The spatial distribution was more centralized in the southwest, showing a continuous distribution with slice‐like bands, while the higher values took an irregular form in the northeastern portion of the region. (3) Carbon stocks under NDS reached 1427.50 × 105 t, an increase of 6.26 × 106 t compared with 2020; while under EPS, they reached 1427.79 × 105 t, an increase of 6.29 × 106 t, mainly due to grassland and unused land conversion. Therefore, the protection and restoration of grassland should continue to be strengthened in the future. (4) NDVI and soil erosion had strong explanatory power for the spatial variability of carbon stocks. There was two‐factor and nonlinear enhancement interaction in different factors, indicating that natural and human factors enhance the explanation of the spatial variation, the results of which can be applied to the ecosystems of the region.

Green synthesis of Ag/AgCl nanocomposites derived from Muntingia calabura L. leaves extract: antioxidant properties and catalytic activity in methylene blue degradation

ABSTRACT Ag/AgCl nanocomposites were synthesised using Muntingia calabura L. leaves extract for the first time and were used as antioxidants and catalysts in the degradation of methylene blue (MB). This study aimed to achieve the optimal conditions for synthesising Ag/AgCl nanocomposites using Muntingia calabura L. leaves extract and to examine their antioxidant and photocatalytic activities. Ag/AgCl nanocomposites were confirmed using UV-Vis spectroscopy, Fourier transform-infrared (FTIR), X-ray diffraction (XRD), transmission electron microscopy (TEM), dynamic light scattering (DLS), and Zeta Potential analysis. Optimising various factors revealed that the optimum synthesis of Ag/AgCl nanocomposites involved mixing 3 mL of 2.5 mm AgNO3 with 7.5 mL of the extract and stirring continuously at 60°C for 100 min. The formed Ag/AgCl nanocomposites displayed mainly spherical shapes with some irregular forms, maintaining an average size of 69.04 nm and remaining stable for 6 months. In vitro studies on antioxidant activity using DPPH indicated that the Ag/AgCl nanocomposites exhibited outstanding free radical scavenging activity, with an IC50 of 62.76 mg/L. In addition, Ag/AgCl nanocomposites showed a strong photodegradation potential for MB, with a degradation percentage of up to 82.12% in 210 min. Hence, the results offer a promising approach for the environmentally friendly synthesis of Ag/AgCl nanocomposites using Muntingia calabura L. leaves extract, with significant applications in antioxidants and photocatalysts.

RC BUILDINGS RESPONSE TO EARTHQUAKES: NONLINEAR STATIC ANALYSIS CONSIDERING VARYING SOIL TYPES AND SEISMIC CODES

Reinforced concrete (RC) building construction remains predominant in Northern Cyprus, offering resilience against natural disasters when appropriately designed and implemented. This paper presents a seismic analysis of RC building systems across different stories, configurations, and soil classes, according to three seismic design codes: The Northern Cyprus Seismic Code 2015 (NCSC-2015), Eurocode 8 (EC 8), and Turkish Buildings Earthquake Code 2018 (TBEC-2018). The study compares regular and irregular forms of Moment Resisting Frame (MRF) and MRF combined with Shear Walls (MRF+SW) systems in various configurations: G+3, G+7, and G+11 for regular buildings, and only G+11 for irregular buildings. Pushover analysis using ETABSv18 was employed to assess base shear, displacement, and plastic hinge behavior. The results indicate that structural regularity enhances resistance and longevity compared to irregular configurations, with shear walls augmenting resistance against earthquake loads in both regular and irregular buildings. Furthermore, soil class emerges as a significant factor influencing results across the codes. While variations among the codes were not consistently observed, EC 8 and TBEC-2018 often appeared more conservative, with TBEC-2018 demonstrating greater adaptability to advanced technologies and a more detailed parameter consideration.

Identification and analysis of microplastics in para-tumor and tumor of human prostate

While microplastics are widely found in various human organs and tissues, the relationship between microplastics and human health, especially prostate health, remains unclear. This study aims to identify and quantify the properties, types, and abundance of microplastics in paired para-tumor and tumor tissues of human prostate. Additionally, the potential correlation between microplastics abundance and prostate cancer are investigated. Paired para-tumor and tumor samples of the prostate were collected from 22 patients who underwent robot-assisted radical prostatectomy. A combination of laser direct infrared spectroscopy, scanning electron microscopy and pyrolysis-gas chromatography-mass spectrometry was utilized to analyse the properties, type and abundance of microplastics. Correlations between microplastics abundance, demographic characteristics and clinical features of patients were also examined. Laser direct infrared analysis revealed the presence of microplastics, including polyamide, polyethylene terephthalate, and polyvinyl chloride, in both para-tumor and tumor tissues of human prostate. However, polystyrene was exclusively detected in tumor tissues. The particle size distribution in the prostate tissue mainly ranged from 20 to 100μm. Approximately 31.58% of para-tumor samples exhibited sizes between 20 and 30μm, while 35.21% of tumor samples displayed sizes between 50 and 100μm. The shapes of these microplastics varied considerably with irregular forms being predominant. Additionally, microplastics were detected by pyrolysis-gas chromatography-mass spectrometry in 20 paired prostate tissues. The mean abundance of microplastics was found to be 181.0μg/g and 290.3μg/g in para-tumor and tumor of human prostate samples, respectively. Among the 11 target types microplastics polymers, only polystyrene, polypropylene, polyethylene, and polyvinyl chloride were detected. Notably, polystyrene, polyethylene, and polyvinyl chloride, except for polypropylene, demonstrated significantly higher abundance in tumor tissues compared to their respective paired para-tumor. Furthermore, a positive correlation was observed between polystyrene abundance in the tumor samples of human prostate and frequency of take-out food consumption. This research provides both qualitative and quantitative evidence of the microplastics presence as well as their properties, types, and abundance in paired para-tumor and tumor samples of human prostate. Correlations between microplastics abundance, demographics, and clinical characteristics of patients need to be further validated in future studies with a larger sample size. This work was supported by the National Key Research and Development Program of China (2022YFC2702600) and the National Natural Science Foundation of China (Grant No. 82071698, No. 82101676, and No. 82271630).

P53 genotype-independent anticancer effects of olibanum extract and 11-keto-beta-boswellic acid on human colorectal cancer cells

BackgroundColorectal cancer (CRC) is the third most common cancer, and CRC-related mortality is increasing annually. A key regulator of the cell cycle and cell death, the p53 gene, is frequently found in patients with CRC as mutants. Since tumors with abnormal p53 sometimes show resistance to anticancer drugs, it is important to develop anticancer drugs according to genetic characteristics. Although evidence shows that boswellic acids (BAs) might be potential anticancer agents, the anticancer effects and mechanisms involved in their activities in CRC are unclear. Methods and ResultsHere, we investigated whether olibanum (Boswellia serrata Roxb.) extract and 11-keto-β-boswellic acid exerted cytotoxic effects against p53 wildtype, p53 mutated-, and p53-deleted human CRC cell lines. Results show that 11-keto-β-boswellic acid considerably reduced cell viability and induced cell cycle arrest in HCT116, HT29, and SW1417 cells. And increase of apoptotic cell population and morphological changes in apoptotic cells induced by 11-keto-β-boswellic acid were observed. The 11-keto-β-boswellic acid mediated cell cycle arrest and apoptosis were accompanied by changes in the expression of factors linked to apoptosis, regardless of p53 genotype. In addition, 11-keto-β-boswellic acid-treated cells dissociated from their spheroidal structure and appeared in an irregular form. ConclusionsAlthough further investigations are required to fully understand the underlying mechanisms, these results may provide insight into the potential of using olibanum extract and 11-keto-β-boswellic acid as therapeutic agents, with no difference in sensitivity depending on the p53 genotype.

Stochastic Processes in the Analysis of Electrical Load Forecasting

It is exceptionally vital to be able to precisely foresee power loads since that's a key portion of overseeing vitality well and building framework. The reason of this consider is to see into how irregular forms can be utilized, particularly in analyzing and anticipating changes in power stack designs over a run of time scales. Since power stack request changes over time, we require precise arranging strategies that can take into consideration the questions and complicated connections. The primary portion of the think about looks at well-known stochastic forms like autoregressive coordinates moving normal (ARIMA), Gaussian forms, and Markov models to see how well they can depict the irregular viewpoints of power stack information. It is checked to see how well each demonstrate can handle distinctive sorts of changes in time and whether it can be utilized in large-scale computing apps. The ponder too looks at how machine learning strategies can be combined with irregular forms to form estimates more precise. Profound learning and outfit strategies are tried to see in the event that they can learn complex designs and nonlinear connections from past stack information, which would make them valuable in expansion to irregular modeling strategies. A comparison of these strategies appears their aces and cons in terms of how well they make expectations, how quickly they work, and how well they hold up against demonstrate presumptions. The think about too talks approximately how imperative show determination components are for judging foreseeing victory. These incorporate demonstrate assessment strategies and measures like cruel outright rate mistake (MAPE) and root cruel square mistake (RMSE). It is talked around what precise stack estimating implies in genuine life, such as how to move forward vitality generation and delivery strategies, keep the lattice steady, and make beyond any doubt that assets are utilized proficiently.

Dynamics of irregular hyperelastic substrate under the impact of moving load

This work delves into the study of stresses induced in a non-homogeneous pre-stressed nearly incompressible elastic substrate with irregularity as a result of a normal load moving on its rough surface. The irregularity on the free surface of the substrate is considered in the form of parabolic irregularity. The solution methodology features the applicability of perturbation method along with substitution method to obtain the displacement components. The expressions of the induced shear and normal stresses have been established in closed form, and their expressions for special cases of the considered problem have also been deduced, which concur well with the existing literature. The influences of affecting parameters viz., non-homogeneity, frictional coefficient, irregularity factor, irregularity depth, hydrostatic stress and depth of the substrate on shear and normal stresses have been depicted graphically by means of numerical computation. The computational results have been manifested for distinct cases of irregularity zone involving parabolic as well as rectangular irregularities present in the considered geometrical model. It has been figured out that the presence of non-homogeneity in the irregular substrate has significant impact on the developed stresses.

Mitochondria dysfunction is one of the causes of diclofenac toxicity in the green alga Chlamydomonas reinhardtii.

Non-steroidal anti-inflammatory drugs (NSAIDs), such as diclofenac (DCF), form a significant group of environmental contaminants. When the toxic effects of DCF on plants are analyzed, authors often focus on photosynthesis, while mitochondrial respiration is usually overlooked. Therefore, an in vivo investigation of plant mitochondria functioning under DCF treatment is needed. In the present work, we decided to use the green alga Chlamydomonas reinhardtii as a model organism. Synchronous cultures of Chlamydomonas reinhardtii strain CC-1690 were treated with DCF at a concentration of 135.5 mg × L-1, corresponding to the toxicological value EC50/24. To assess the effects of short-term exposure to DCF on mitochondrial activity, oxygen consumption rate, mitochondrial membrane potential (MMP) and mitochondrial reactive oxygen species (mtROS) production were analyzed. To inhibit cytochrome c oxidase or alternative oxidase activity, potassium cyanide (KCN) or salicylhydroxamic acid (SHAM) were used, respectively. Moreover, the cell's structure organization was analyzed using confocal microscopy and transmission electron microscopy. The results indicate that short-term exposure to DCF leads to an increase in oxygen consumption rate, accompanied by low MMP and reduced mtROS production by the cells in the treated populations as compared to control ones. These observations suggest an uncoupling of oxidative phosphorylation due to the disruption of mitochondrial membranes, which is consistent with the malformations in mitochondrial structures observed in electron micrographs, such as elongation, irregular forms, and degraded cristae, potentially indicating mitochondrial swelling or hyper-fission. The assumption about non-specific DCF action is further supported by comparing mitochondrial parameters in DCF-treated cells to the same parameters in cells treated with selective respiratory inhibitors: no similarities were found between the experimental variants. The results obtained in this work suggest that DCF strongly affects cells that experience mild metabolic or developmental disorders, not revealed under control conditions, while more vital cells are affected only slightly, as it was already indicated in literature. In the cells suffering from DCF treatment, the drug influence on mitochondria functioning in a non-specific way, destroying the structure of mitochondrial membranes. This primary effect probably led to the mitochondrial inner membrane permeability transition and the uncoupling of oxidative phosphorylation. It can be assumed that mitochondrial dysfunction is an important factor in DCF phytotoxicity. Because studies of the effects of NSAIDs on the functioning of plant mitochondria are relatively scarce, the present work is an important contribution to the elucidation of the mechanism of NSAID toxicity toward non-target plant organisms.

Green synthesis of silver nanoparticles using Osbeckia leschenaultiana DC extract: Optimization of synthesis, biological activities, larvicidal activity and toxicity analysis

Presently the Osbeckia leschenaultiana DC leaf - extract was used to synthesis the silver nanoparticles and the green synthesized AgNPs were characterized by UV–vis spectrophotometer, FTIR, XRD, DLS, Zeta potential and SEM. Absorbance at 405 nm was obtained in UV–vis spectrophotometer and multiple peaks emerged in FTIR analyses that represent the presence of some interesting functional groups. XRD results proved that the synthesised AgNPs were face-centered cubic and crystalline in nature. SEM revealed the particles are Cuboid and irregular forms; the particle size ranged between 70 nm and 100 nm. And the antibacterial and antioxidant characterization of green synthesized silver nanoparticles Osbeckia leschenaultiana DC leaf − extract against. Methicillin-resistant Staphylococcus aureus, Vibrio cholerae, Bacillus subtilis and Escherichia coli, revealed the potential antibacterial efficiency against gram positive bacteria Methicillin-resistant Staphylococcus aureus (23.0 ± 1.0) and Bacillus subtilis (22.0 ± 1.0) and they showed 60–70 % high antioxidant activity compared to Osbeckia leaf extract. AgNPs showed the highest mortality against Aedes aegypti with LC50 value of 49.17 µg/mL, followed by the Osbeckia leaf extract have LC50 value of 85.95 µg/mL. The toxicity profile analyzed using non-target organism Artemia salina exhibited less toxicity. The results revealed that the Osbeckia leschenaultiana DC mediated AgNPs had multifaceted antibacterial, antioxidant and larvicidal potential.