Chemical Factors Research Articles

A Comprehensive Review of Treatment Plans for Marginal Enamel Fractures in Anterior Teeth

Marginal enamel fractures (MEF) are a common clinical concern in dentistry, particularly in anterior teeth. These fractures occur at the enamel margins and their etiopathogenesis involves a complex interplay of mechanical, chemical, and biological factors. The ongoing research focuses on an overview of MEF to improve the knowledge about this condition. Understanding the multifaceted nature of MEF is crucial for devising effective preventive and therapeutic strategies in contemporary restorative dentistry. Indeed, mechanical stresses, such as occlusal forces and parafunctional habits are primary contributors for MEF. Additionally, it can happen at the enamel-restoration interface due to expansion and contraction of restorative materials. Chemical degradation, including acid erosion and the breakdown of adhesive bonds, further exacerbates the vulnerability of enamel. Biological factors, such as enamel composition and the presence of micro-cracks also play a role in the development of MEF. Clinical management of MEF involves subtractive or additive techniques, repairing or replacing the compromised tooth structure using techniques to ensure the integration with the natural enamel.

Review of Clinically Assessed Molecular Fluorophores for Intraoperative Image Guided Surgery

The term “fluorescence” was first proposed nearly two centuries ago, yet its application in clinical medicine has a relatively brief history coming to the fore in the past decade. Nowadays, as fluorescence is gradually expanding into more medical applications, fluorescence image-guided surgery has become the new arena for this technology. It allows surgical teams to real-time visualize target tissues or anatomies intraoperatively to increase the precision of resection or preserve vital structures during open or laparoscopic surgeries. In this review, we introduce the concept of near-infrared fluorescence guided surgery, discuss the recent and ongoing clinical trials of molecular fluorophores (indocyanine green, 5-aminolevulinic acid, methylene blue, IR-dye 800CW, pafolacianine) and their surgical goals, highlight key chemical and medical factors for imaging agent optimization, deliberate challenges and potential advantages, and propose a framework for integrating this technology into routine surgical care in the near future. The notable clinical achievements of these fluorophores over the past decade strongly indicates that the future of fluorescence in surgery is bright with many more patient benefits to come.

Peculiarities of post-vaccination immunity to infections manageable by specific prevention means in schoolchildren

Introduction. Stable post-vaccination immunity and prediction of vaccination immunologic effectiveness are topical issues that require profound studies with their focus on the role in their formation that belongs to exogenous factors. The aim of this study was to establish pathogenetic peculiarities of the development of impairments of post-vaccination immunity to infections manageable by specific prevention in schoolchildren under combined exposure to chemical environmental factors as well as factors related to the educational process, lifestyle, and diet. Materials and methods. We analyzed laboratory test results and data obtained by questioning and analyzing diet records of one hundred eighty four children vaccinated against diphtheria, whooping cough, and measles. The children attended either a secondary school with standard educational programs (Reference Group) or a secondary school with profound studies of some subjects (Observation Group). Priority risk factors and etiopathogenetic peculiarities of the development of post-vaccination immunity impairments were identified by building one-factor logistic regression models and sequential modelling. Results. The schoolchildren from the School 2 had to study in an environment that did not conform to hygienic requirements to the management of the educational process; they did not consume biologically valuable foods in recommended quantities; their blood was contaminated with metals and aromatic hydrocarbons; they had high levels of digital activity but their physical activity was low. Given all this, intensity of their humoral post-vaccination immunity against diphtheria and whooping cough was 1.2–1.7 times lower than in the Reference Group. We identified determinants of advers effects produced on post-vaccination immunity development by the analyzed factors and determined their isolated and combined contributions to likelihood of a decline in intensity of humoral immunity to diphtheria (10–55% and 72%) and whooping cough (13–40% and 77%). We established pathogenetic peculiarities and marker laboratory indices of risk-associated impairments of post-vaccination immunity to diphtheria and whooping cough under combined exposure to the analyzed factors. Limitations. The study results were obtained without considering types of applied vaccines. Conclusion. The established pathogenetic aspects of risk-associated impairments of post-vaccination immunity to diphtheria and measles under combined exposure to the set of the analyzed factors are target ones for hygienic activities, prediction, and immunity correction.

Effect of Nitrification Inhibitors on Soil Nitrogen Dynamics and Microbial Community Structure in Aerated Paddy Field

The aim of this study was to clarify the effects of nitrification inhibitors on the dynamic changes in the nitrogen and microbial community in paddy soil under aerated irrigation by using the indica hybrid rice Zhongzheyou 8 as experimental material. A trial with three treatments was conducted in 2023： conventional flooding irrigation （CF）, micro-nano bubble water aeration irrigation （MB）, and micro-nano bubble water aeration irrigation combined with nitrification inhibitor （MBNI）. The effects of nitrification inhibitors on the contents of NH4+-N and NO3--N and the apparent nitrification rate of soil under aerated irrigation were analyzed, as well as the characteristics of bacterial community diversity and its correlation with soil chemical factors. The results showed that compared with those in the CF treatment, the MB and MBNI treatment significantly increased the dissolved oxygen concentration, oxidation-reduction potential, pH, and soil NH4+-N content. Compared with that under the MB treatment, the MBNI treatment increased soil pH, reduced NH4+-N content in a short time after nitrogen fertilizer application, and later increased NO3--N content. Compared with that in the CF treatment, the MB and MBNI treatments could increase the diversity and richness of soil bacteria, while the relative abundance of Proteobacteria and Nitrospirota significantly increased, and the relative abundance of Bacteroidota decreased. The MBNI treatment reduced the diversity and richness of bacteria compared with that in the MB treatment and significantly decreased the relative abundance of Nitrospirota. Correlation analysis showed that soil chemical properties were significantly correlated with bacterial community structure. In conclusion, the combined application of nitrification inhibitors under aerated irrigation can improve soil nitrogen supply capacity, increase soil inorganic nitrogen content, improve soil chemical properties, and affect microbial community diversity and richness to optimize microbial community structure.

Unraveling the interplay between phylogeny and chemical niches in epiphytic macrolichens

This study aims to elucidate the connection between the phylogeny of epiphytic macrolichens and their chemical niches. We analyzed published floristic and environmental data from 90 canopies of Picea glauca x engelmannii across various forest settings in British Columbia. To explore the concordance between a principal coordinates analysis of the cladistic distance matrix and a global non-metric multidimensional scaling of the ecological distance matrix, we used Procrustean randomization tests. The findings uncover a robust association between large-scale macrolichen phylogeny and canopy throughfall chemistry. The high calcium-scores of the studied species effectively distinguished members of the Peltigerales from those of the Lecanorales, although parameters linked with Ca such as Mn, Mg, K, bark-, and soil-pH, may contribute to the niche partitioning along the oligotrophic—mesotrophic gradient. The substantial large-scale phylogenetic variation in the macrolichens’ Ca-scores is consistent with an ancient adaptation to specialized chemical environments. Conversely, the minor variation in Ca-scores within families and genera likely stems from more recent adaptation. This study highlights crucial functional and chemical differences between members of the Lecanorales and Peltigerales. The deep phylogenetic connection to the chemical environment underscores the value of lichens as transferable bioindicators for the chemical environment and emphasizes the importance of elucidating the intricate interplay between chemical factors and lichen evolution.

Chemical factors affecting the wetting time of poly(acrylic acid) xerogel powder synthesized by precipitation polymerization technique

Chemical factors affecting the wetting time of poly(acrylic acid) xerogel powder synthesized by precipitation polymerization technique

Mathematical analysis of FLASH effect models based on theoretical hypotheses

Objective.Clinical applications of FLASH radiotherapy require formulas to describe how the FLASH radiation features and other related factors determine the FLASH effect. Mathematical analysis of the models can connect the theoretical hypotheses with the radiobiological effect, which provides the foundation for establishing clinical application models. Moreover, experimental and clinical data can be used to explore the key factors through mathematical analysis.Approach.We abstract the complex models of the oxygen depletion hypothesis and radical recombination-antioxidants hypothesis into concise mathematical equations. The equations are solved to analyze how the radiation features and other factors influence the FLASH effect. Then we propose methodologies for determining the parameters in the models and utilizing the models to predict the FLASH effect.Main results.The formulas linking the physical, chemical and biological factors to the FLASH effect are obtained through mathematical derivation of the equation. The analysis indicates that the initial oxygen concentration, radiolytic oxygen consumption and oxygen recovery are key factors for the oxygen depletion hypothesis and that the level of antioxidants is the key factor for the radical recombination-antioxidants hypothesis. According to the model derivations and analysis, the methodologies for determining parameters and predicting the FLASH effect are proposed: (1) the criteria for data filtration, (2) the strategy of hybrid FLASH and conventional dose rate (CONV) irradiation to ensure the acquisition of effective experimental data across a wide dose range, (3) the pipelines of fitting parameters and predicting the FLASH effect.Significance.This study establishes the quantitative relationship between the FLASH effect and key factors. The derived formulas can be used to calculate the FLASH effect in future clinical FLASH radiotherapy. The proposed methodologies guide to obtain sufficient high-quality datasets and utilize them to predict the FLASH effect. Furthermore, this study indicates the key factors of the FLASH effect and offers clues to further explore the FLASH mechanism.

Intensive monocropping of bananas decreases the soil acid buffering capacity via ammonia-oxidizing bacteria

Ammonia-oxidizing microorganisms (AOM) are vital for soil nitrogen cycling, nutrient availability, and soil health during sustainable agriculture. Long-term continuous cultivation of bananas and improper chemical fertilization affect the adaptability of AOM; however, the underlying basis for this phenomenon is unclear. This study utilized 16S rRNA gene and metagenomic sequencing techniques to examine soil from banana plantations that were continuously cultivated for 2, 3, 7, 10, 12, and 13 years (Y2, Y3, Y7, Y10, Y12, and Y13, respectively). The results indicated a significant decrease in soil acidity buffering capacity (pHBC) with increasing years of continuous cropping. Furthermore, compared with forest soil (Y0), Y7, Y10, Y12, and Y13 soils exhibited a significantly increased potential nitrification rate (PNR) as well as an abundance of ammonia-oxidizing archaea (AOA) and bacteria (AOB), with no significant difference in complete ammonia oxidizers (comammox). Principal component analysis (PCA) further demonstrated marked differences in chemical properties and ammonia-oxidizing microbial community structures between the soils under long-term (Y7, Y10, Y12, Y13) and short-term (Y2, Y3) banana cultivation. In addition, metagenome analysis results indicated that the relative abundance of Nitrososphaera-AOA and Ca. Nitrosocosmicus-AOA as well as Nitrosospira-AOB, Nitrosovibrio-AOB, Nitrosomonas-AOB, and comammox Nitrospira jacus was significantly higher in Y7 and Y13 soils than in Y0 controls. Redundancy analysis (RDA) identified pHBC, CEC, and NH4+ as the primary chemical factor responsible for the differences in AOM microbial communities, whereas random forest analysis revealed that Nitrosospira-AOB significantly contributed to PNR. In summary, long-term continuous banana cultivation primarily stimulates AOB promote soil ammonia oxidation, leading to soil acidification.Graphical

Seasonal Impacts of Physical and Chemical Factors on Aquatic Fungi and Common Carp

Saprolegniosis is recognized as one of the most widespread fungal diseases in freshwater fish, affecting fish and eggs of all ages and causing significant economic losses globally. The primary infectious agents are aquatic mold fungi belonging to the Saprolegnia spp. This study aimed to investigate the impact of physical and chemical factors on aquatic fungi and their relationship with common carp. This study was conducted over 12 months from July 1; 2021, to 1 July 2022, at Khurmal Pond, located in Sulaimani Governorate. Eight sites were selected, and a baiting method was used to isolate the aquatic fungus from water samples. The water temperature ranged between (11.3-26.6 centigrade °C), the pH ranges from 7.2 to 7.8 indicating a neutral to slightly essential, dissolved oxygen (DO) levels varied between 6 to 8.4 mg/L at the months of the experiment, total alkalinity (218-272 mg/L), the concentration of nutrient like as NO3 (5.33-9.26 mg/L), SO4 (30.3-35.3 mg/L) and PO4 (0.15-0.64 mg/L). Twenty-five species of fungi were isolated in this detection: 17 species of Zoosporic fungi and eight species of conidial fungi representing eleven genera, namely: Zoosporic Fungi belonging to 5 genera Achly, Aphanomyces, Dictyuchus, Pythium, and Saprolegnia, Conidial fungi were belonging to 6 genera Alternarea, Aspergillus, Curvulari, Fusarium, Pencillum and Rhizopous. In conclusion, Saprolegniosis threatens freshwater aquaculture globally and explores how physical and chemical factors affect the occurrence and frequency of aquatic fungus in common carp disease.

Seasonal Impacts of Physical and Chemical Factors on Aquatic Fungi and Common Carp

Saprolegniosis is recognized as one of the most widespread fungal diseases in freshwater fish, affecting fish and eggs of all ages and causing significant economic losses globally. The primary infectious agents are aquatic mold fungi belonging to the Saprolegnia spp. This study aimed to investigate the impact of physical and chemical factors on aquatic fungi and their relationship with common carp. This study was conducted over 12 months from July 1; 2021, to 1 July 2022, at Khurmal Pond, located in Sulaimani Governorate. Eight sites were selected, and a baiting method was used to isolate the aquatic fungus from water samples. The water temperature ranged between (11.3-26.6 centigrade °C), the pH ranges from 7.2 to 7.8 indicating a neutral to slightly essential, dissolved oxygen (DO) levels varied between 6 to 8.4 mg/L at the months of the experiment, total alkalinity (218-272 mg/L), the concentration of nutrient like as NO3 (5.33-9.26 mg/L), SO4 (30.3-35.3 mg/L) and PO4 (0.15-0.64 mg/L). Twenty-five species of fungi were isolated in this detection: 17 species of Zoosporic fungi and eight species of conidial fungi representing eleven genera, namely: Zoosporic Fungi belonging to 5 genera Achly, Aphanomyces, Dictyuchus, Pythium, and Saprolegnia, Conidial fungi were belonging to 6 genera Alternarea, Aspergillus, Curvulari, Fusarium, Pencillum and Rhizopous. In conclusion, Saprolegniosis threatens freshwater aquaculture globally and explores how physical and chemical factors affect the occurrence and frequency of aquatic fungus in common carp disease.

Differential Effects of Polyvinyl Chloride Microplastics and Kaolin Particles on Gut Immunity of Mussels at Environmental Concentrations

Both microplastics (MPs) and kaolin are marine suspended particles capable of influencing the physiology of bivalve mollusks. However, the current research on MPs lacks the analysis of their own physical and chemical toxicity, and the comparative study of the toxicity of microplastics and natural suspended particles (NSPs) in aquatic environment. In this work, three experiments are layered, with Experiment 1 directly comparing MPs PVC and kaolin and showing that MPs have greater deleterious effects on thick-shelled mussels than kaolin, with the exception of physical damage and effects on gut microorganisms. As the presence or absence of chemicals may be the main difference between MPs and kaolin, in Experiment 2 the toxicity drivers of MPs PVC itself were investigated, demonstrating that the chemicals in MPs are indeed toxic and that the harmful effects of MPs on mussels may be due to the superposition of their own physical and chemical toxicity. Finally, in Experiment 3 mussels were exposed to the chemicals in MPs and kaolin in a composite and found that the toxicity of the composite exposure was greater than that of the single exposure to kaolin, suggesting that the chemicals may be the main factor contributing to the difference in toxicity between MPs and kaolin. In conclusion, this work addresses the lack of a natural particle control group in current studies of MPs, confirms that the toxicity drivers of MPs are due to both physical and chemical factors, highlights the role of natural suspended particles in the environment, and provides new insights for evaluating the toxic effects of MPs in the natural marine environment.

Entropy, thermal, and mass transportation optimization of magnetohydrodynamic power-law nanofluid over stretched sheet with chemical reaction effect

The power-law nanofluid’s heat and mass transmission over a stretched surface with magnetic field, entropy optimization, and chemical reaction effects is the main focus of the present study. The governing partial differential equations are reduced using similarity transformation into ODEs (ordinary differential equations), which are then numerically solved with the help of the Keller box and finite difference techniques. A substantial evaluation is conducted using the controlling flow factors, which include the Eckert number, chemical reaction factor, Brownian motion parameter, thermophoresis number, power-law index (n), and generalized Prandtl number (Pr), on the fluid velocity profile, flowing fluid temperature, and concentration profile. A decrease in the velocity profile is observed when the chemical reaction process is accelerated, leading to heat absorption. However, when the power-law parameter increases, the fluid’s temperature decreases, and the velocity profile increases at specific values of viscous dissipation (Ec = 0.1) and chemical reaction (γ = 0.01). The values of the coefficient of skin friction (Cf), Sherwood factor (Shx), and reduced local Nusselt number (Nux are also computed and presented in the form of a table for the generalized Prandtl number (Pr = 7.0). The coefficient of skin friction and mass transfer and heat transfer rates are quantitatively compared with those in the literature for particular circumstances, and the results demonstrate good agreement with each other. This research offers insightful information for designing and improving systems that use nanofluids exposed to external magnetic fields, which has ramifications in many technical uses, including heat exchange systems based on nanofluids and thermal management systems.

Individual and interactive action mechanisms of mechanical, chemical, and electrical factors in Co polishing

Individual and interactive action mechanisms of mechanical, chemical, and electrical factors in Co polishing

Efficiency of some Chemical factors in Stimulating systemic Resistance of Barley plant against Fusarium wilt disease caused by the fungus Fusarium oxysporum

Efficiency of some Chemical factors in Stimulating systemic Resistance of Barley plant against Fusarium wilt disease caused by the fungus Fusarium oxysporum

Activation of ultra-fine steel slag and ground granulated blast furnace slag in alkaline waste solutions via phosphogypsum and calcium carbide slag

This study expands the ways of utilizing multiple solid wastes. The pH value of SRL (soda residue liquid) closely matches that of the cement pore solution, making it a viable substitute for tap water in mixing. Purified PG (phosphogypsum) can serve as an alternative to traditional sulfate activators. CS (calcium carbide slag), currently serves as a widely utilized alkaline activator. PG and CS synergistically activate GGBFS (ground granulated blast furnace slag) in the presence of SS (steel slag) within the SRL environment. A synergistic effect is observed between SS and GGBFS. The test results demonstrate that the composite system achieves a 28-day strength of up to 60 MPa. The effect of SS content on the hydration kinetics, setting time, compressive strength was investigated. To elucidate the role of SS and PG in the reaction, the hydration products were characterized with TGA, XRD and SEM-EDS. The results suggest that the Cl- in SRL undergoes effective immobilization within the system, thereby filling the gel pores as Friedel’s salt (Fs) and facilitating the formation of a dense structure. Q-XRD coupled with TGA was utilized to analyze the changes in crystalline and non-crystalline phases within the system, revealing the hydration mechanism of steel slag activated by physical, chemical, and mineral factors in an alkaline waste solution environment.

Ferroptosis and its implications in bone-related diseases.

Ferroptosis, a recently recognized form of regulated cell death (RCD) characterized by iron-dependent lipid peroxide accumulation, has emerged as a noteworthy regulator in various bone-related diseases, including osteoporosis (OP), osteoarthritis (OA), and osteosarcoma (OS). OS primarily afflicts the elderly, rendering them susceptible to fractures due to increased bone fragility. OA represents the most prevalent arthritis in the world, often observed in the aging population. OS predominantly manifests during adolescence, exhibiting an aggressive nature and bearing a significantly unfavorable prognosis. In this review article, we present an overview of the characteristics and mechanism of ferroptosis and its involvement in bone-related diseases, with a particular focus on OP, OA, and OS. Furthermore, we summarize chemical compounds or biological factors that impact bone-related diseases by regulating ferroptosis. Through an in-depth exploration of ferroptosis based on current research findings, this review provides promising insights for potential therapeutic approaches to effectively manage and mitigate the impact of these bone-related pathological conditions.

Assessment of landscape impact on snow chemical composition in terms of mineral geochemical exploration

In areas with cold climate seasonal snowpack is an attractive sampling material for geochemical exploration of deep mineral accumulations. However, previous studies on assessment of exploration efficiency of snow cover have paid little attention to snow composition variability conditioned by local landscape structure.The layered sampling of snow sections was performed in different landscape settings of the local area. The research area is characterized by the absence of ore mineralization zones and low anthropogenic load. The physical-chemical parameters and concentration of wide range of elements were identified in snowmelt. Multi-component data was integrated by means of factor principal component analysis. Besides, additive and differential geochemical indexes were used. The classification snow models were developed using hierarchical cluster analysis. The variance of chemical elements distribution and factor models of geochemical pattern were compared before and after reduction of background fluctuation. In terms of variation coefficient values of chemical elements the area has background parameters of chemical inhomogeneity. In total variance a lateral component prevails over a vertical one. The highest concentrations of chemical elements were found in snow section of forest landscape. It is necessary to take into account the fact of geochemical background fluctuation when interpreting the data of metal assay snow survey.After the reduction of lateral geochemical background fluctuation, the factor model has better classified the chemical elements in terms of their connection with soluble and insoluble occurrence forms. The values of differential index of liquid and solid phases have a similar satisfactory vertical variability in different landscapes. The analysis of chemical elements concentration reveals snow horizons that were or are affected by thaw and percolating water. The snow bottom layer, which is sampled at geochemical exploration, is not strong influenced by elution.

Oxidative Stress in Mussel Mytilus trossulus Induced by Different-Sized Plastics.

Polyethylene and polystyrene are massively used around the world in various applications and are the most abundant plastic waste. Once in the marine environment, under the influence of physical and chemical factors, plastic products degrade, changing from the size category of macroplastics to microplastics. In order to study the effect of plastic on marine organisms, we modeled the conditions of environmental pollution with different-sized plastic-polystyrene microparticles of 0.9 µm and macro-sized polyethylene fragments of 10 cm-and compared their effect on biochemical parameters in the tissues of the bivalve mollusk Mytilus trossulus. Using biomarkers, it was found that regardless of the size and type of polymer, polystyrene microparticles and polyethylene macrofragments induced the development of oxidative stress in mussels. A significant decrease in the level of lysosomal stability in mussel hemocytes was observed. Increases in the level of DNA damage and the concentration of malonic dialdehyde in the cells of gills and the digestive gland were also shown. The level of total antiradical activity in cells varied and had a tissue-specific character. It was shown that both ingested polystyrene particles and leachable chemical compounds from polyethylene are toxic for mussels.

Gold Nanoparticles Cause Radiosensitization in 4T1 Cells by Inhibiting DNA Double Strand Break Repair: Single Cell Comparisons of DSB Formation and γH2AX Expression.

Metal nanoparticles sensitize cancers to radiotherapy however their mechanisms of action are complex. The conceptual inspiration arose from theories of physical dose deposition however various chemical and biological factors have also been identified. Interpretation of data has been limited by challenges in measuring true DNA damage compared to DNA damage repair factors. Here, we applied a new assay, STRIDE, for the first time to measure DNA double strand breaks (DSBs) in 4T1 cells as a model of triple negative breast cancer exposed to gold nanoparticles and radiation, and compared this to the common γH2AX assay for DSB repair. The STRIDE assay showed no increase in DSB detection 15 mins after irradiation for cells containing nanoparticles compared to cells without. Gold nanoparticles led to prolonged detection of DSBs after irradiation and delayed the DSB repair. The data show no evidence of increased radiation dose deposition with nanoparticles, but rather enhanced radiobiological effects resulting from nanoparticles which includes disruption of the recruitment of essential DDR machinery, thereby impairing DNA repair processes.

Graph neural networks and transfer entropy enhance forecasting of mesozooplankton community dynamics

Mesozooplankton are critical components of marine ecosystems, acting as key intermediaries between primary producers and higher trophic levels by grazing on phytoplankton and influencing fish populations. They play pivotal roles in the pelagic food web and export production, affecting the biogeochemical cycling of carbon and nutrients. Therefore, accurately modeling and visualizing mesozooplankton community dynamics is essential for understanding marine ecosystem patterns and informing effective management strategies. However, modeling these dynamics remains challenging due to the complex interplay among physical, chemical, and biological factors, and the detailed parameterization and feedback mechanisms are not fully understood in theory-driven models. Graph neural network (GNN) models offer a promising approach to forecast multivariate features and define correlations among input variables. The high interpretive power of GNNs provides deep insights into the structural relationships among variables, serving as a connection matrix in deep learning algorithms. However, there is insufficient understanding of how interactions between input variables affect model outputs during training. Here we investigate how the graph structure of ecosystem dynamics used to train GNN models affects their forecasting accuracy for mesozooplankton species. We find that forecasting accuracy is closely related to interactions within ecosystem dynamics. Notably, increasing the number of nodes does not always enhance model performance; closely connected species tend to produce similar forecasting outputs in terms of trend and peak timing. Therefore, we demonstrate that incorporating the graph structure of ecosystem dynamics can improve the accuracy of mesozooplankton modeling by providing influential information about species of interest. These findings will provide insights into the influential factors affecting mesozooplankton species and emphasize the importance of constructing appropriate graphs for forecasting these species.