In statistics theory, adding a new parameter is considered one of the important things that help in producing statistical distributions more flexible and appropriate in data analysis. Alpha-power transformations are considered a modern technique that involves adding a shape parameter to generate new statistical distributions. In this paper, a new life continuous distribution of three parameters is presented by fitting the alpha power transformations family distribution with two parameters lifetime exponential Weibull distribution. The new model named alpha-power exponential Weibull distribution (APEWD) with three parameters , where and are classified as scale parameters and parameter is classified as a shape parameter. The cumulative, probability density, survival, hazard functions, and statistical properties of the proposed new model distribution were discussed and studied such as quantile function, moment about origin, moment generating function, Skewness, Kurtosis, factorial moments generating function, and characteristic function. To expand the probability density function for the new distribution, we took advantage of expanding the exponential function for ease of dealing with finding statistical properties

Marcescin is a bacteriocin that is extracted from isolates of Serratia marcescens, which is a gram-negative bacterium that belongs to the family Enterobacteraeaceae and is considered a nosocomial pathogenic bacteria. In this research, the toxic effect of crude marcescin extracted from the S. marcescens bacteria on the human laryngx epidermoid carcinoma (Hep-2) cell line was investigated. S. marcescens was isolated from blood, urine, and stool samples of patients from Nursing House Hospital, Baghdad Teaching Hospital, and Teaching Laboratories of Medical City by using a series of dilutions to concentrations of (0.00, 1.95, 3.9, 7.8, 15.62, 31.25, 62.5, 125, 250, 500, and 1000) µg/ml and an exposure time of (24, 48, and 72) hours. The results showed significant differences (P≤0.05) in the IR values (100–2%) at the concentrations (1000–1.95) µg/ml when compared with the control (100%); there were also significant differences after 48 and 72 hours. The results showed that high concentrations caused a high rate of inhibition at concentrations (1000, 500, and 250) µg/m where the rate of inhibition was (100, 67, and 58) after 24 hours, then the rate of inhibition began to decrease gradually, reaching 2% at the lowest concentration of 1.95. It is clear that Hep-2 cells are sensitive to marcescin, and their sensitivity increases exponentially with increasing concentration and time of exposure

It has been hypothesized that infection with the Epstein-Barr virus (EBV) may play a role in the development of autoimmune illnesses, including rheumatoid arthritis (RA). This study aimed to investigate whether or not a history of infection with the virus is more common in RA patients compared to controls. Ninety samples ranging from 20 to 70 years old were obtained (45 patients plus 45 controls) between October 2022 and March 2023; each group included 37 females and 8 males. Rheumatoid arthritis (RA) patients who were chosen for this study were sent with a physician report for RA regular tests at Baghdad Teaching Hospital in Baghdad Province. The apparently healthy individuals were obtained (from family, friends, and other acquaintances after routine examinations) with age and sex matched with patients. We immunologically examined all 90 samples to detect Epstein-Barr virus (EBV) infection using both Epstein-Barr viral capsid Ag (VCA) IgG and Epstein Barr nuclear Ag (EBNA) IgG enzyme-linked immunosorbent assay (ELISA). The results showed that (66.7%) of RA patients and (60%) of controls were positive for VCA, while (57.8%) and (51.1%) were positive for EBNA in patients and controls, respectively. According to disease activity, there were (33.33%) and (34.62%) at high disease activity, while (66.67%) and (65.38%) at moderate disease activity were positive for VCA and EBNA, respectively. In conclusion, these findings do not reveal a relationship between EBV seroprevalence and RA, and as a result, they do not support the concept that a previous infection with EBV predisposes individuals to the development of RA

Dental caries, also named tooth decay, is a major issue for oral health and is caused by bacteria in dental plaque. Detecting caries early on is essential for preventing further damage. Because caries are often small, they can lead to unnecessary treatments or missed diagnoses. This study tackles the challenge of spotting dental caries using color image analysis. We tested both traditional methods—like Quickshift, Simple Linear Iterative Clustering (SLIC) superpixels, and k-means clustering—combined in the Multi-Step Segmentation with K-Means (MSS-KM) approach, as well as a more advanced deep learning method using YOLOv12 for segmentation. The evaluation of the performance of these methods based on accuracy, precision, recall, mean average precision (mAP), and F1-score. The results were impressive, showing that YOLOv12 clearly outperforms MSS-KM in terms of accuracy. YOLOv12 achieved an accuracy of 98.12%, while MSS-KM was at 96.79%. In addition to accuracy, YOLOv12 had excellent precision (99.6%), recall (98.1%), and an F1-score of 0.99, while MSS-KM came in at 88.5% for precision, 91% for recall, and an F1-score of 89.1%. YOLOv12 also had a mAP of 99.5%, compared to MSS-KM's 99.3%. These results clearly show that YOLOv12 is more accurate and reliable for detecting dental caries than MSS-KM. While the MSS-KM method still has value, particularly for traditional segmentation techniques, the model showed strong potential for practical use in clinical settings. The consistent training setup contributed to stable performance, while the comparison with traditional methods highlighted how modern deep learning approaches can significantly enhance diagnostic accuracy. These results not only support the use of YOLOv12 for early caries detection but also suggest that such AI models could become valuable tools in improving patient outcomes and reducing unnecessary treatments

Hypertension is a global health concern, with women experiencing lower blood pressure during their reproductive cycle and postmenopausal women being more sensitive to it. Postmenopausal women's higher body mass increases the risk of hypertension, coronary artery disease, and death. Venous blood was taken from women of experimental groups by syringes into GEL tubes. Blood serum was obtained after allowing the blood to clot in the tube without anticoagulant for 10-20 min at room temperature. To calculate (TNF-alpha, CRP) for all samples, serum separation was done by centrifuge machine at 3000rpm for five minutes. C-reactive protein (CRP) kit and (TNF-alpha) kit by using the ELISA technique according to the manufacturer's instructions of MyBio Source USA kit. The results showed that there was no significant variation in age (T-test) value (2.348) in postmenopausal women in the mean of patients (59.45±0.68) years, while healthy women were (57.50±0.97). There were significant changes in body mass index (BMI) in postmenopausal women (p≤0.01) that were found between the mean of patients (28.19±0.59) and the control group (25.65±0.19). Also, there were significant changes (p≤0.01) in the mean values of blood pressure diastole (8.76±0.06) and systole (16.00±0.15) in postmenopausal women compared with the control group with mean values (7.73±0.12) and (11.60±0.14), sequentially. Significant difference (p≤0.01) in mean value of HB patient women (12.89±0.16) as compared with healthy women (12.32±0.24). No significant changes in mean value of platelets (253.90±970) and WBCs (7.97±0.39) in patient postmenopausal women with control group (251±12.34) and (7.87±0.32), respectively. Significant change (p≤0.01) in mean value of TNF-alpha patient women (146.79±4.45) as compared with control (66.13±1.32). CRP show a significant difference (p≤0.01) in mean value, with patients being women (2.37±0.10) while the control group was (0.813±0.04). There was no significant change in the ESR mean of patients who were women (34.31±3.02) and the control group (31.40±3.02)

In today's digital era, the importance of securing information has reached critical levels. Steganography is one of the methods used for this purpose by hiding sensitive data within other files. This study introduces an approach utilizing a chaotic dynamic system as a random key generator, governing both the selection of hiding locations within an image and the amount of data concealed in each location. The security of the steganography approach is considerably improved by using this random procedure. A 3D dynamic system with nine parameters influencing its behavior was carefully chosen. For each parameter, suitable interval values were determined to guarantee the system's chaotic behavior. Analysis of chaotic performance is given using the Lyapunov exponents, fractal dimension, and bifurcation diagrams. Furthermore, an algorithm is suggested to generate a random binary key, serving as the controller for the embedding process. And the randomness of the generated key was checked. Moreover, this paper introduces a technique that utilizes the generated random key to govern both the embedding process in the spatial domain and the frequency domain. The results of this study are promising and its potential applications can be extended to various fields that require discreet communication and robust data protection

The biosynthesis of nanoparticle-mediated pigments has been widely used as an antimicrobial agent against microorganisms.In order to study the effect of ferric oxide (Fe2O3) nanoparticles on Candida albicans, they were biosynthesized by using pyocyanin pigment produced from Pseudomonas aeruginosa. Fe2O3NPs were characterized by using atomic force microscopy (AFM), Fourier transform-infrared spectroscopy (FTIR), Field Emission Scanning Electron Microscope (FE-SEM), Energy Dispersive X-ray Spectroscopy (EDX), and UV-Visible spectroscopy. From December 2022 to July 2023, a total of 48 samples of C. albicans were collected from burns, wounds, and urine from private labs and Al-Kindy hospital; only 19 were identified as C. albicans isolates according to the cultural and morphological characteristics and VITEK-2 system. For the antimicrobial effect, they were cultured on Mueller Hinton agar using the agar well diffusion method.The results provided evidence that the diameter of the inhibition zone was directly proportional to the concentration; at 0.1 μg/ml, the diameter of the inhibition zone was 30 mm, while at 0.0125 μg/ml, the diameter was 14 mm.The study confirms the concentration-dependent antifungal effect of Fe2O3 nanoparticles synthesized by biological methods, suggesting potential applications in antifungal therapy.

In this work, the rate of charge transfer (CT) reaction at the N3-ZnS interface was calculated using a quantitative computational model to evaluate the efficiency of N3-ZnS heterojunction dye-sensitized solar cell devices using different types of solvents. This work discussed the influence of the effective driving energy force on the charge transport rate and performance of N3-ZnS devices with various solvents based on a donor-acceptor model. A solar cell model was used to study the optical efficiency when changing some of its parameters, such as the type of material and the thickness of the film, as they are important factors influencing the quality of the solar cell. It was found that the transition energy varies with different solvent types depending on the dielectric constant, refractive index of the solvent, and the semiconductor, the electron transfer rate increased when the effective driving force value decreased to ∆0 =0.22 (eV) at the same temperature and charge carrier concentration, where the maximum value of the electron transfer rate for chloroform solvent was (1.0622E-06).

In this paper, we share a discussion of the Couple Tension Effect on the Peristaltic Transfer of Carreau Peristaltic Flow of Fluid in an Inclined Nonlinear Canal with aPorous Medium the Carreau model's constitutive equation is selected to represent solutions to these problems are obtained A numerical method has been used to answer the problems and consideration, such as perturbation method. Closed form dynamical plus stream function formulas efficiency are pressure was created increase per wave length has been estimated numerically on the channel walls. The Hartman digits impacts (Ha), Darcy digit (Da), amplitude ratio (e), and their consequences. The full effects of axial velocity and entrapment are carefully examined and graphically represented. Numerical results have been computed by using MATHEMATICA software for all these problems and scheming the graphs. At increasing B the velocity increases in the focal area withe border canal wall but the opposite occur for increasing (Da). And the axial velocity does not change with increasing of (Ha). The pressure of rice for each wavelength dalta P increases in magnitude with increasing values of (Ha).

Nowadays, the effectiveness of Flying Ad-hoc Networks (FANETs) has proven their importance in many fields, such as the military, healthcare, entertainment, etc. In such networks, realistic mobility modeling is pivotal for accurately simulating Unmanned Aerial Vehicle (UAV) behaviors and their interactions within the network. To achieve this realism and improve network performance metrics of the network, multiple Mobility Models (MMs) can be integrated, allowing UAVs to exhibit complex movement patterns that reflect real-world dynamics. This paper proposes a combination of Circular Mobility (CM) and Gauss-Markov (GM) models (CCGM) in a superposition mobility model to determine the final pattern of the model and how it affects the Quality of Services (QoS). So, the OMNeT++ was used as a simulation tool to achieve this purpose. The QoS used for analyzing the model are End-to-End Delay (E2ED), throughput, Packet Delivery Ratio (PDR), jitter, and packet loss. The simulation results were introduced and compared with respect to four scenarios. The first two scenarios implied the models independently, while the last two scenarios implied the proposed model (CCGM); each scenario was evaluated with Ad-hoc On Demand Distance Vector (AODV), Destination Sequenced Distance Vector (DSDV), and Greedy Perimeter Stateless Routing (GPSR) routing protocols. The simulation results demonstrate that the proposed model (CCGM) outperforms the GM and CM models in terms of E2ED, PDR, throughput, jitter, and packet loss. Consequently, the CCGM model exhibits an average E2ED of best results with a GPSR of 0.009 seconds in scenario 4, while it exhibits the best results in AODV with PDR of 90.82%, throughput of 669614, jitter of 0.021, and packet loss of 9.18% in scenario 4 as well. This indicates that the CCGM model could enhance the QoS and movement realism, making it useful in FANET applications