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This study investigated the proximate composition and inhibitory potential of hot water and ethanolic extracts of the pulp, peel and whole fruit of green banana (Musa sapientum) on α-amylase and α-glucosidase. Bioactive compounds were identified using GC-MS analysis. In addition, the cytotoxic effect on human gingival fibroblast (hGF) was evaluated using the sulphorhodamine B (SRB) assay. The results showed that the peel of green banana had the highest amount of ash (10.05%), fat (2.83%), protein (3.64%) and total dietary fibre (36.62%). The carbohydrate content of the whole fruit (81.79%) and pulp (81.50%) was higher than that of the peel (71.90%). The moisture content of the pulp (13.08%) was higher than that of the peel (11.58%) and whole fruit (11.30%). The ethanolic green banana peel extract showed a good inhibitory effect of α-amylase and α-glucosidase with the concentration necessary for 50% inhibition (IC₅₀) of 0.512 and 0.100 mg·mL^-1, respectively. The α-glucosidase inhibitory effect of the ethanolic green banana peel extract and the hot water green banana peel extract was not significantly different from that of acarbose (IC₅₀ 0.108 mg·mL^-1). GC-MS analysis of the ethanolic green banana peel extract revealed fatty acids and fatty acid ester (9-octadecenamide (Z), octadecanamide and other compounds). The ethanolic peel extract exhibits a significant noncytotoxicity effect on hGF cells at concentrations ranging from 0.0001 to 1.0 mg·mL^-1.

Milk is an essential part of the human diet and is a nutrient-rich food that improves nutrition and food security. The aim of this study was to determine the presence and concentration of aflatoxin M1 (AFM1), adulterants, microbial loads, and physicochemical properties of raw cow's milk (CM) in Nekemte City, Ethiopia. A total of 12 samples of fresh CM were purposefully collected from four kebeles in the city (Bake Jama, Burka Jato, Cheleleki, and Bakanisa Kese) based on the potential of each milk production and distributor site. The AFM1 concentration was determined by high-performance liquid chromatography (HPLC) with a Sigma-Aldrich standard (St. Louis, MO, USA). The concentrations of AFM1 in Bake Jama, Burka Jato, Cheleleki, and Bakanisa Kese were found to be 0.01-0.03 g/L, 0.31-0.35 g/L, 0.19-0.21 g/L, and 0.04-0.07 g/L, respectively. The concentrations of AFM1 in the present study varied significantly (p < 0.05) and ranged from 0.01 g/L to 0.35 g/L. These results show that of the 12 samples tested, all were positive for AFM1 and contaminated to varying degrees. The results of this study also revealed that the concentration of AFM1 in 7 (58%) of the 12 milk samples was above the European Union's (EU) maximum tolerance limit (0.05 g/L). The present study also revealed that of the investigated adulterants, only the addition of water had positive effects on three milk samples, while the remaining adulterants were not detected in any of the milk samples. The total bacterial count (TBC) and total coliform count (TCC) were significantly (p < 0.05) different and ranged from 5.53 to 6.82 log₁₀cfumL^-1 and from 4.21 to 4.74 log₁₀cfumL^-1, respectively. The physicochemical properties of the milk samples in the present study were significantly (p < 0.05) different and ranged from 2.8% to 5.75% fat, 7.03% to 9.75% solid-not-fat (SNF), 2.35% to 3.61% protein, 3.33% to 5.15% lactose, 11.54% to 13.69% total solid, 0.16% to 0.18% titratable acid, 26.7 to 32.1°C, 6.35 to 6.55 pH, and 1.027 to 1.030 specific gravity. The physicochemical parameters of the raw milk in the study area met the required quality standards. Hence, further studies are required to determine the extent of the problem and the factors associated with high levels of AFM1 in raw milk in the study areas, including the detection of aflatoxin B1 (AFB1) in animal feed.

Lake Hayq is one of the highland lakes of Ethiopia that furnishes very important ecosystem services, fishing, tourism, transportation, drinking water, livestock watering, and irrigation. However, the lake ecosystem is being degraded by pollution, siltation, and excessive growth of macrophytes, buffer zone degradation, overfishing, and climate variability. Therefore, this study was conducted to assess the physicochemical, heavy metals, and biological water quality parameters of Lake Hayq. Physiochemical (pH, water temperature, conductivity, TDS, total alkalinity, dissolved oxygen, Ca²⁺, Mg²⁺, Na⁺, K⁺, NH4⁺, NH₃, NO₂ ^-, NO₃ ^-, CO₃ ^-, HCO₃ ^-, SO₄ ^2-, PO₄ ^3-, SiO₂, and total phosphorus), heavy metals (Pb, Fe, Zn, Cr, Cu²⁺, Mn²⁺, and Ni), and biological (BOD₅ and total coliforms) water quality parameters were analyzed both in situ and ex situ. The physicochemical parameters were measured using portable water quality measuring multimeters, the heavy metal analysis was done using the Atomic Absorption Spectrometer, the BOD₅ was measured using a BOD₅ meter, and the total coliform analysis was done using the spread plate technique. The collected data were analyzed using multivariate, two-way ANOVA to see the mean difference among sampling sites and seasons through the application of SPSS 16. Most of the water quality parameters of Lake Hayq have met the WHO standards for recreation, aquatic life, and drinking water quality. However, some parameters, such as Pb, BOD₅, and total coliforms, were above WHO water quality permissible limits. Therefore, ecohydrological (nature-based) waste treatment methods such as macrophyte restoration in buffer zones and ecofriendly farming activities should be practiced to minimize the contamination of the lake.

Background: Najaf governorate was recorded as one of the most polluted Iraqi governorates with increased cancer, autoimmune, and abortion cases. Study Groups. A total of 88 adult volunteers from three test groups were divided based on their inhabitance in different geographical regions in Najaf governorate. Group 1 (G1; n, 29) inhabitants of Al-Ansar, Al-Abbaseyeh, and Al-Manathera districts, Group 2 (G2; n, 27) inhabitants of 22 different scattered districts of the governorate, Group 3 (G3; n, 32) inhabitants of Kufa city and center districts in the old Najaf city. According to previous authors' findings, all participants had uranium contamination in their urine and blood samples, and also, they had DNA damage according to the level of urinary 8-OHdG compound. The control group 4 (G4; n, 25) were adult healthy Iraqi volunteers who were residents of the Sulaimaniyah governorate, which has low-level uranium pollution. The present study aims to determine the effect of uranium pollution and DNA damage on the immune system function in terms of estimating the levels of serum interleukin (IL)-6, interferon-gamma (IFN-γ), and IL-1 beta (β).

Method: Enzyme-linked immunosorbent assay (ELISA) (Sandwich method technique) was used for estimating the serum cytokines levels in test and control groups.

Results: A significant elevation of cytokines levels was reported as compared with the control groups (p ≤ 0.01). The level of IL-6 was 764.64 ± 24.12 pg/ml, 768.87 ± 19.64 pg/ml, and 735.62 ± 18.47 in G1, G2, and G3, respectively. The level of IFN-γ was 264.55 ± 19.17 pg/ml, 259 ± 18.76 pg/ml, and 261.20 ± 12.99 pg/ml for G1, G2, and G3, respectively. The level of IL-1β was 99.85 ± 10.81 pg/ml, 116.8 ± 10.71 pg/ml, and 83 ± 19.24 pg/ml in G1, G2, and G3, respectively. The levels of IL-6, IFN-γ, and IL-1β were 86.5 ± 22.9 pg/ml, 19.4 ± 2.8 pg/ml, and 16.1 ± 3.2 pg/ml in the sera of control (G4). The results showed significant statistical elevation with the corresponding p value cut-off p ≤ 0.01 in IL-6, IFN-γ, and IL-1β in the sera of three test groups as compared with the results of the control group.

Conclusion: The change in the proinflammatory cytokines (IL-6, IFN-γ, and IL-1β) levels indicates a persistent inflammatory response in the participants and may reflect immune system impairment as a consequence of exposure to long-term low-dose ionizing radiation.

Utilities face serious obstacles from power theft, which calls for creative ways to maintain income and improve operational effectiveness. This study presents a novel hybrid genetic artificial hummingbird algorithm-support vector machine classifier to detect power theft. The proposed algorithm combines the artificial hummingbird algorithm exploration phase with the genetic algorithm's mutation and crossover operators, to optimize the support vector machine's hyperparameters and categorize users as fraudulent or nonfraudulent. It utilizes 7,270 rows of labeled historical electricity consumption data from the Liberia Electricity Corporation over 15 independent runs. The methodology entailed data preprocessing, data split into training, validation, and testing sets in an 80-10-10 ratio, z-score normalization, optimization, training, validation, testing, and computation of six evaluation metrics. Its performance is compared with 13 metaheuristic classifiers and the conventional support vector machine. Findings indicate that the genetic artificial hummingbird algorithm-support vector machine outperforms the 13 rivals and the standard support vector machine in the six assessment measures with an accuracy score of 0.9986, precision of 0.9971, f_score of 0.9986, recall of 1, Matthews correlation coefficient of 0.9972, and g_mean of 0.9987. Furthermore, 90% of the time, Wilcoxon rank-sum tests revealed statistically significant differences between the algorithm and its rivals, demonstrating its superiority. The average run time is 4,656 seconds, the 3^rd highest among its competitors. Despite the time complexity trade-off, its excellent performance on the unimodal and multimodal benchmark test functions, placing joint best in 7 out of 7 and 5 out of 6, respectively, provides important insights into the model's capacity to balance exploitation and exploration, improve local search, and avoid becoming stuck in the local optimum. These findings address important metaheuristic optimization gaps highlighting the model's potential for power theft detection.

Process discovery approaches analyze the business data to automatically uncover structured information, known as a process model. The quality of a process model is measured using quality dimensions, completeness (replay fitness), preciseness, simplicity, and generalization. Traditional process discovery algorithms usually output a single process model. A single model may not accurately capture the observed behavior and overfit the training data. We have formed the process discovery problem in a multiobjective framework that yields several candidate solutions for the end user who can pick a suitable model based on the local environmental constraints (possibly varying). We consider the Binary Differential Evolution approach in a multiobjective framework for the task of process discovery. The proposed method employs dichotomous crossover/mutation operators. The parameters are tuned using grey relational analysis combined with the Taguchi approach. We have compared the proposed approach with the well-known single-objective algorithms and state-of-the-art multiobjective evolutionary algorithm-Nondominated Sorting Genetic Algorithm (NSGA-II). Additional comparison via computing a weighted average of the quality dimensions is also undertaken. Results show that the proposed algorithm is computationally efficient and produces diversified candidate solutions that score high on the fitness functions. It is shown that the process models generated by the proposed approach are superior to or at least as good as those generated by the state-of-the-art algorithms.

Traditional medicinal plants (TMPs) are a significant part of people's quality of life, offering a natural substitute for modern drugs with numerous side effects. In Tanzania, data on antiasthmatic TMPs are highly fragmented. This review, a comprehensive compilation of ethnobotanical research evidence, aimed to provide a thorough understanding of TMPs used by the locals for asthma management and identify species that have already been investigated in preclinical studies. The review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. To gather relevant literature on antiasthmatic TMPs used by Tanzanians, a web search using electronic databases (Scopus, PubMed, ProQuest, Academic Library, Web of Science, SciFinder, Wiley Online Library, Google Scholar, ScienceDirect, and African Journals Online) was conducted. The scientific names were verified through the Plants of the World Online database, and the collected information was analysed for descriptive statistics using Microsoft Excel software. The ethnomedicinal information was obtained from 24 different articles. Microsoft Excel software was used to analyse the data using descriptive statistics. A total of 62 TMPs belonging to 33 families were identified. Species of the Fabaceae (14.5%) and Rubiaceae families (8.1%) are the most utilized. The analysis revealed that trees (42.0%) and leaves (40.0%) are the most utilized life forms and plant parts, respectively. Most plant materials (59.7%) used to make remedies were collected from the wild environment. Decoction (55.0%) is the dominant preparation method of remedies, and the majority (69.0%) were orally administered. Of the recorded TMPs, 22.6% had their in vivo antiasthmatic activity reported in the literature. The review also highlighted the strategic significance of preparations of remedies made from TMPs for discovering and developing new antiasthmatic drugs. However, the need to identify the molecular targets of action and toxicological aspects of the TMPs should be considered.

This research aims to create and evaluate an assessment tool termed Older Adults' First Aid Knowledge Scale, which measures the knowledge and attitude of Iranian grandparents about first aid. In accordance with COSIM guidelines, 485 individuals in southern Iran completed the instrument as part of a psychometric investigation. Rasch partial credit model (PCM), exploratory factor analysis (EFA), confirmatory factor analysis (CFA), and receiver operating characteristic (ROC) analysis were used to analyze the results. The final version of OFAKS consisted of 18 items that were validated through EFA, CFA, and item response theory (IRT) analysis. All items showed measurement invariance and consecutive response groupings in the predictable order, and the instrument had strong internal consistency. Although Rasch's analysis demonstrated the significance of OFAKS, further investigations and testing in different settings are required to confirm the validity of the tool.

Background: This study aims to evaluate the accuracy rate of foramen magnum dimensions in determining sex among the South Indian population using discriminant functional analysis.

Methods: An observational study in which CBCT images from 200 full field of view (FOV) scans were analysed. The dimensions of the foramen magnum were measured. Intra- and interobserver reliability were calculated. Independent t-tests were used to compare the various parameters between sexes. Stepwise discriminant function analysis was used to determine sex.

Results: A total of 200 CBCT scans were included in the study. The mean age (±SD) was 25.66 (±7.11) years among males and 24.64 (±5.12) years among females. The measurements and the circumference of the foramen magnum were significantly (p < 0.001) greater in males than in females. The univariate analysis of foramen magnum measurements reached an accuracy rate of 73.5% in sex determination. The discriminant function analysis combining the foramen magnum measurements and circumference yielded an overall predictability rate of 66.5% for determining sex.

Conclusion: Taking into account the predictability rate of sex based on foramen measurement in the present population, it can be concluded that its applicability should be limited to cases associated with fragmentary skull bases.

The flavonoid compounds in C. caudatus K., known for their various benefits, are prone to quick degradation, leading to reduced biological activity. This research aimed to evaluate the types of coatings: gum Arabic (GA), maltodextrin (MD), and a combination of both (MDGA) in C. caudatus K. extract microcapsules. The extract of C. caudatus K. was encapsulated by different coating materials, GA, MD, and MDGA, and then dried using a freeze-drying technique. The evaluation was carried out by comparing the encapsulation efficiency values, biological activity, and release tests of each type of microcapsule coating. The research results indicate that coating agents have impacts significantly at p < 0.05 on efficiency encapsulation. Flavonoids were retained up to 79.67% by the MDGA coating, compared with 72.8% and 47.66%^a retained by single GA and MD coatings, respectively. The results of the encapsulation efficiency are supported by the results of characterization using a scanning electron microscope (SEM), where MDGA has rounder shapes with smoother surfaces compared with a single coating alone, like GA or MD. In addition, by particle size analysis using a particle size analyzer (PSA), the average sizes of MDGA, GA, and MD microcapsules were shown at 154.13 µm, 152 µm, and 166.81 µm, respectively. The three microcapsules showed an order of activities as MDGA > GA > MD coatings in alpha-amylase inhibition assay. Similar results were also shown in the antioxidant assay, which demonstrated that the three microcapsules had moderate antioxidant activities, again in the order of MDGA > GA > MD. The three different coating types showed greater release at pH 7.4 compared to those at pH 2.2 in the controlled release test, which ran from 30 to 120 min. In summary, freeze-drying microencapsulation using biodegradable polymers was identified as a viable method for harnessing the health benefits of C. caudatus K. extracts. This process produced a convenient powder form that could be used in drug delivery systems. The use of MDGA mixed coating resulted in better impact based on %EE value and biological activity, as well as improved characteristics of microcapsules compared with single coating.