The main objective of this work is to introduce and investigate fixed point (F. p) theorems for maps that satisfy contractive conditions in weak partial metric spaces (W.P.M.S), and give some new generalization of the fixed point theorems of Mathews and Heckmann. Our results extend, and unify a multitude of (F. p) theorems and generalize some results in (W.P.M.S). An example is given as an illustration of our results.

Objective. Glass-ionomer and resin-modified glass-ionomer cements are versatile materials with the ability to form a direct bond with tooth tissues. The aim of this study was to formulate a novel class of dental bio-interactive restorative material (pRMGIC) based on resin-modified glass-ionomer cements via the inclusion of an organophosphorus monomer, ethylene glycol methacrylate phosphate, with a potential to improve the mechanical properties and also function as a reparative restorative material. Methods. pRMGIC was formulated with modification of the resin phase by forming mixes of ethylene glycol methacrylate phosphate (EGMP; 0–40%wt) and 2-hydroxyethyl methacrylate monomer into the liquid phase of a RMGIC (Fuji II LC, GC Corp.).

A total of nine swab samples were collected from inflamed teeth and gingiva of human’soral cavity from a dentist clinic in Baghdad. All specimens were cultured in Mitis Salivarius agar medium and the isolated bacterial pure colonies werethen identified by using VITEK2. Three samples were diagnosed and identified as Staphylococcus lentus. One of the three isolates which showed a distinctive heavy growth on the media was selected for further analysis in this study. Paper disk diffusion method was used to detect the antibacterial activityof three of mouthwash solutions (Zak, Colgate and Listerine). The results showed that “Colgate” was the most active solution with antibacterial activity compared with the other two s

This study was carried out at the Dept. Hortic. and Land.Gard., Coll. Agric. Eng.Sci., University of Baghdad during fall season of 2019-2020, in order to evaluate the effect of nutrient solution type under hydroponic system (NFT) on growth, yield and quality of broccoli Brassica oleracea var.italica. Two experiments were carried out which were the standard solution experiment (Cooper) and the alternative solution experiment (ABEER) prepared from fertilizers. Results revealed that  the type of solution used in the hydroponics system had non significant effect on the leaves content of N,K, Mg, Fe, Cu, B, Chlorophyll, leaves number, root length, weight of the main heads, number of side heads were not significantly affected. 13nt, refl

Thyroid hormones (TH) regulate the metabolic processes required for normal development and growth; also, to organizemetabolism in adults, any defect in thyroid function leads to abnormality in thyroid hormones level. The current study hasbeen designed to find the relationship between retinol-binding protein-4 and progranulin in the serum of Iraqi women withhypothyroidism and hyperthyroidism, also, to study whether these patients are exposed to a risk of developing diabetes mellitus,and PGRN may be a biomarker in detection early stage of diabetes mellitus.Materials and Methods: in this study, serum samples were obtained from 50 Iraqis women patients, [25 patients withhypothyroidism (G2) and 25 patients with hyperthyroidism (G3)] in addition

In this study, the photodegradation of Congo red dye (CR) in aqueous solution was investigated using Au-Pd/TiO2 as photocatalyst. The concentration of dye, dosage of photocatalyst, amount of H2O2, pH of the medium and temperature were examined to find the optimum values of these parameters. It has been found that 28 ppm was the best dye concentration. The optimum amount of photocatalyst was 0.09 g/75 mL of dye solution when the degradation percent was ~ 96 % after irradiation time of 12 hours, while the best amount of hydrogen peroxide was 7μl/75 mL of dye solution at degradation percent ~97 % after irradiation time of 10 hours, whereas pH 5 was the best value to carry out the reaction at the highest degradation percent. In additio

Objective: To assess prospectively functional outcome of interlocked intramedullary nailing fixation in management of closed tibia shaft fractures. Methodology: This prospective study included 134 patients with closed shaft tibia fractures with age 18-60 years and isolated closed fracture of shaft of tibia. The fractures were fixed by interlocking intramedullary nail. At follow-up after 12 months postoperatively, the functional outcome was assessed radiographically for the sign of union and clinically according to Klemm-Borner criteria. Results: The mean age was 38.55 years. Out of 134 patients, 55.2% were male. The cause was road traffic accident in 44.8%, majority of the fracture occur in the mid-shaft (41.8%), and oblique fracture was th

        In this study we focused on the determination of influence the novel synthesized thiosemicarbazide derivative "2-(2-hydroxy-3-methoxybenzylidene) hydrazinecarbothioamide" (HMHC) influenced the corrosion inhibition of mild steel (MS) in a 1.0 M hydrochloric acid acidic solution.This is in an effort to preserve the metal material by maintaining it from corrosion.The synthesized inhibitor was characterized using elemental analysis, and NMR-spectroscopy. Then the corrosion inhibition capability of (HMHC) was studied on mild steel in an acidic medium by weight loss technique within variables [temperature, inhibitor concentration, and time]. The immersion periods were [1:00, 3:00, 5:00, 10:00, 24:00, and 72:00] hours and the tem

ole in all sta Oil well logging, also known as wireline logging, is a method of collecting data from the well environment to determine subterranean physical properties and reservoir parameters. Measurements are collected against depth along the well's length, and many types of wire cabling tools depend on the physical property of interest. Well probes generally has a dynamic respon to changes in rock layers and fluid composition. These probes or well logs are legal documents that record the history of a well during the drilling stages until its completion. Well probes record the physical properties of the well, which must then be interpreted in petrographic terms to obtain the characteristics of the rocks and fluids associated with

Currently, one of the topical areas of application of machine learning methods is the prediction of material characteristics. The aim of this work is to develop machine learning models for determining the rheological properties of polymers from experimental stress relaxation curves. The paper presents an overview of the main directions of metaheuristic approaches (local search, evolutionary algorithms) to solving combinatorial optimization problems. Metaheuristic algorithms for solving some important combinatorial optimization problems are described, with special emphasis on the construction of decision trees. A comparative analysis of algorithms for solving the regression problem in CatBoost Regressor has been carried out. The object of

There is a correlation between the occurrence of anxiety and the production of inflammatory mediators, and red ginger rhizome is a well-known herbal product with a high content of phenolic and flavonoid compounds that can be used as anti-inflammatories and antioxidants. The aim of study to evaluate the effect of red ginger as antianxiety in mice (Mus musculus) BALB/c strain by measuring levels of TNF-α, IL-6 and IL-10.  Anxiety model mice were carried out by giving treatment with the Forced Swimming Test (FST) for 7 days then assessed by carrying out the Elevated Plus Maze for Mice (EPM) test for one day. After the treatment, the anxiety mice model was made, followed by administration of red ginger ethanol extract therapy for 14 days.

Previous studies in Euro-American countries have shown that patients with chronic hepatitis C virus infection have increased levels of neuropsychiatric symptoms. While chronic hepatitis C virus infection has been reported in Arab countries such as Iraq, there is little studies about the neuropsychological burden associated with chronic hepatitis C among patients in the Arab region. The aim of the current study was to measure the prevalence and level of severity of depression, anxiety and stress among a sample of chronic hepatitis C patients in AL-Najaf province /Iraq. The current study was cross-sectional study carried out on (110) already diagnosed chronic viral hepatitis C patients who attended the Gastroenterology and Hepatology

Pluripotent stem cells (PSC) possess unlimited proliferation, self-renewal, and a differentiation capacity spanning all germ layers. Appropriate culture conditions are important for the maintenance of self-renewal, pluripotency, proliferation, differentiation, and epigenetic states. Oxygen concentrations vary across different human tissues depending on precise cell location and proximity to vascularisation. The bulk of PSC culture-based research is performed in a physiologically hyperoxic, air oxygen (21% O2) environment, with numerous reports now detailing the impact of a physiologic normoxia (physoxia), low oxygen culture in the maintenance of stemness, survival, morphology, proliferation, differentiation potential, and epigenetic

A wide range of infections result from the Gram-positive pathogen Staphylococcus aureus. One key virulence factor of this bacterium is the capacity to develop biofilm.  Antibiotics are ineffective in treating a majority of infections linked with biofilm formation in this opportunistic bacterium. The current study was conducted to estimate the influence of cell-free supernatant (CFS) of lactobacillus acidophilus on the expression level of some biofilm-association genes in clinical strains of S. aureus. The antibiotic susceptibility pattern against twenty antibiotics and quantitative assay for biofilm development were examined for all bacterial isolates. Moreover, the agar well diffusion method was followed to e

This study introduces a method to enhance the graphitization of carbon nanofiber (CNFs) by incorporating multi walled carbon nanotubes (MWCNTs) to polyacrylonitrile (PAN) as precursors to improve graphitization compared to CNFs produced from pure PAN precursors. Both traditional CNFs and modified CNFs/CNTs were synthesized via electrospinning followed by thermal treatment (stabilization at 275°C and carbonization at 1000°C in N₂ gas atmosphere). FE-SEM analysis showed a reduction in average fiber diameter after the addition of MWCNTs. Post-carbonization, the composite CNFs/CNTs exhibited a smaller diameter reduction (−13.54%) compared to pure CNFs (−25.05%), indicating enhanced structural stability. FTIR spectroscopy con

Tomatoes are among the most significant vegetables in the world. It is regarded as a cornerstone of the economies of numerous countries. Tomato crops are susceptible to multiple illnesses that can diminish yields. The early diagnosis of diseases in tomato leaves substantially enhances tomato production and allows farmers to address these challenges more efficiently. Conventional techniques dependent on visual assessments are laborious, time-consuming, and susceptible to human mistakes. Machine learning (ML) and deep learning (DL) techniques have emerged as potent instruments for automating and enhancing the precision of illness diagnosis to tackle these difficulties. This paper presents a hybrid methodology (TOMATOCNN-RF) that integrate

Urinary tract co-infections are particularly significant due to their potential to facilitate the transfer of biofilm formation genes between pathogens. The research aims to uncover hidden partners for catheter patients and determine, that isolates producer biofilm. 131 samples were collected from urinary catheter patients, during the period from October 2023 to March 2024. Each sample was cultured on mannitol salt agar and MacConkey agar plates to differentiate between G+ve and -ve bacteria. Then, identification was completed by using chemical tests and the Vitek 2 compact system. Bacterial DNA was extracted, and specific primers were designed to amplify mrpA and fimH genes using multiplex PCR. 96/131 (73.28%) of sampl

The most significant challenges in the advancement of cancer therapies including the adverse effects of chemotherapy, the emergence of drug resistance, and tumor metastasis, represent the major factors in therapies. In recent years, nanoparticles (NPs) have emerged as a promising paradigm in drug delivery technology. This study utilised the human breast cancer cell line MCF7 to evaluate the anticancer efficacy of gold nanoparticles (AuNPs) conjugated with bromelain (AuNPs-Br) and bromelain (Br). The AuNPs were synthesised using the Turkevich method, followed by the loading of bromelain onto these nanoparticles. Characterisation of the gold nanoparticles was conducted using various analytical techniques, including UV-Vis spectrophotometry

Seismic noise analysis is crucial to enhance the reliability of earthquake monitoring networks. Therefore, in this paper, we investigated the ambient seismic noise at four seismic stations in central Iraq, namely Karbala (KAR2), Kut (KUT1), Diyala (DYL1), and Baghdad (BGD1) over a period of one year, by analysing the seismic noise using power spectral density (PSD) and probability density function (PDF) techniques and then comparing the analysis results with Peterson's models. Our results indicate that most of the stations are within the acceptable noise levels according to Peterson's model. However, the Karbala (KAR2) station consistently exceeds the New High Noise Model (NHNM) standards over the long periods range. A new station was in

To enhance patient outcomes, it is essential to diagnose hypertrophic cardiomyopathy (HCM) from cardiac magnetic resonance (CMR) images with precision, ensuring the process is swift and automated. This study investigates the impact of integrating Caputo derivatives into deep learning models to enhance their performance in classifying HCM. The study examines the performance of a tailored convolutional neural network (CNN), the advanced EfficientNetV2S architecture, and the improved CNN incorporating the Caputo derivative. Key pre-processing techniques included image resizing, normalization, and data augmentation. Caputo’s CNN performed best with 92.47% accuracy, 93.57% precision, and 89.36% F1 score with a slightly reduced recall of 85.