Sumer Journal for Pure Science

We study in this paper the value of the first moment in the stochastic differential equation, when the equation contains influential forces and these forces are colored noise. This equation describes the state of the first moment in the random movement of things. Also, we study many properties of dynamic in the case of the first dimension. This paper also contains some graphics and tables of moment and the results of the extracted equation.

This paper studies the properties of complex Picard's approximation, we use continuous complex operators to examine how well they approximate a function in Lp- quasi normed spaces in terms of the second-degree smoothness modulus. Using the definition Lp (D), we obtain some approximation properties for complex singular integrals Kg(ƒ)(z).

The electronic properties of the n-triangulenegraphene nanoflakes (nT-GNFs) are investigated with and without various concentrations of (Si, P, Ge, and As ) impurities in different locations via using DFT methods. Results showed very fascinating results. The 3T-GNFs, 4T-GNFs, 5T-GNFs, and 6T-GNFs have semiconductor behaviors. So, the electronic band gap is depended on the type and site of the impurity. By using the same locations of impurities in all structures, but with different impurity, the electronic band gap is altered. We detected that all structures became more stable and lower reactive with these impurities in different sites due to the total energy is increased. Also, some of these structures have weak interact with others structures. There are higher energy required to donating/accepting an electron to become cation/anion. In brief, the results shown the electronic properties of all structures depended on the type and location of the impurity. Then, we can use these impurities to enhancement the electronic properties of the nT-GNFs.

In this paper corn fiber has been used as a reinforced material that can be defined as agricultural residues that can be recycled and used to strengthen unsaturated polyester resin or other polymeric materials through which low-cost structural segments can be produced with high quality. current research discusses studying the impact of corn fiber reinforcement with volume fractures (2%, 4%, 6%, 8%) for unsaturated polyester resin. The superimposed material was prepared by manual molding at room temperature. Results showed that reinforcement of fiber core material led to enhancement of mechanical properties (Effect and toughness), the highest value of impact strength was recorded at 8% volumetric fracture, which reached (0.58 (KJ/m2), the highest value of hardness at 8% volumetric fracture at 86.3 (N/m2), while tensile strength values decreased with increased reinforcement ratios as stomach samples recorded the lowest value at volume break of 8%, which is 4.47 (MPa).

The efficiency of DSSCs depends on the material that absorbs the light and converts it into energy. In this work, two natural dyes were extracted from Black Grapes and Beetroot and used as photosensitizers for DSSCs and compared to solar cells using synthetic dyes as photosensitizers. The experimental results showed that the efficiency of the solar cells that used Black Grapes (DSSC2) as a photosensitizer was 2.246%, which is higher than the solar cells that used Beetroot (DSSC1) as a photosensitizer, which got a value of 2.012%.

The present work employed luffa fibers (L.F.) as a means of reinforcing the matrix, which consisted of an unsaturated polyester resin. Prior to reinforcement, the fibers received an alkali treatment. The samples were created using the hand lay-up approach, with varying fiber volumetric fractions of 10%, 15%, 20%, and 25%. Following the completion of the preparatory phase, a comprehensive analysis has been conducted on several mechanical and physical properties, encompassing tensile strength, bending strength, impact strength, thermal conductivity, dielectric constant, and dielectric strength. When comparing pure unsaturated polyester resin with a composite of unsaturated polyester resin reinforced with luffa fibers at a volumetric percentage of 25%, it is shown that the latter exhibits superior mechanical properties. Conversely, the composite reinforced with 10% V.F. displays worse mechanical characteristics. The region where the highest impact resistance was measured was found to be 2.34 KJ/m2. Similarly, the maximum value of tensile strength was observed to be 17.73 MPa, while the highest value of bending strength was recorded at 14.34 MPa. Regarding the physical characteristics, the results also showed that the thermal conductivity of all samples decreased with increasing fiber volume fraction. Additionally, The results also showed that the dielectric strength decreased with increasing fiber volume fraction for all samples, as the lowest value for dielectric strength durability was 10.73 kV/mm. Furthermore, The results also showed that the dielectric constant increased with the increase in the volume fraction of the fibers for all samples, as the highest value of the dielectric constant was 1.039.. Based on the aforementioned information, it is possible to employ Luffa fibers in many structural applications that require robust mechanical, thermal, and electrical insulation properties.

The Environmental change and Climate change are one of the most important challenges facing the world in the 21st century. The excessive use of natural resources, especially oil, and the multiplicity of extraction areas, especially within areas classified as agricultural areas. Changing the gender of the region from agricultural areas to industrial areas is a big challenge that increases the acceleration of climate and environmental change, when this industrial activity is accompanied by oil or gas residues (the burning of gas associated with the oil extraction process), burning gas can leave behind unburned heavy metals are toxic substances when present in the air or in combination with soil and water, which are the main source of food for plants. Which is a toxic element to both air, soil and agricultural. The purpose of the research to determine the change in vegetation and agricultural cover due to the presence of industrial oil areas by using satellite images of the Landsat 8 satellite for different periods of time and finding changes in the proportion of vegetation cover of the study area (Gharraf oil field and its adjacent lands) using the (ArcGIS 10.3) program and classifying the satellite images by the Normalized Difference Vegetation Index (NDVI).

This article deals with the mechanical characteristics and hardness issues of PMMA sample that is based on various aspects related to radiation attenuation capability. Different doping is considered in this study namely nano bismuth trioxide (Bi2O3) and nano iron trioxide (Fe2O3) at doping concentrations of 0%, 0.5%, 1%, 3%, and 5%. Linear attenuation coefficient, absorptivity, and transmittance were ascertained using Bismuth-207 (Bi207) and Cesium-137 (Cs137) radioactive isotopes. The results demonstrate marked enhancements of hardness and radiation attenuating coefficients at higher doping levels notably at 5%. Furthermore, higher absorption values are associated with greater radiation effectiveness and more shield thickness and doping ratios. However, transmittance declines as the thickness of samples increases and the doping level rises. The results of these samples are quite encouraging and show the potential of being good radiation shielding materials; they have high linear attenuation coefficients.

The interaction dynamics in the scattering process between surface and species were studied earlier using the one-electron Hamiltonian in the presence of a (monochromatic) electromagnetic field. This work defines a new concept, "the temporal effective density of states". This quantity is essential in obtaining the ion neutralization probability in the ion-surface scattering and is equivalent to the time average of the transient energy-dependent current through the system. Our applications ensure that this kind of the tunneling current can be controlled by the electromagnetic field parameters such as its frequency and its strength. Then, adiabatic and non-adiabatic electron tunneling regimes are investigated and discussed for the process. Also, in the limit of very low ion velocity one can find, an equivalent behavior for the temporal effective density of states.

When the skin is under the exposure of a light source, the energy may be reflected because of the different refraction coefficients between the corneal epithelium and air, and in the case when the energy leaks into the skin, it can result in epidermal damage. All of which reduce the effectiveness of therapy. We have assessed how well cooling sapphire handpieces worked to lessen damage and discomfort to the epidermis while enhancing the results of laser hair removal treatments. Throughout such procedure, the follicular epithelium is harmed by the laser light being absorbed by melanin in hair shaft. The efficiency of using LightSheerTM Laser for hair removal was evaluated in clinical research. Unwanted body hair removal is one of the most common requests in the surgical and dermatological professions. The employment of lasers to produce a more lasting decrease continues to advance thanks to technology. Although the usage of lasers has increased, there are still few standards of the way to handle laser hair removal. In particular, one needs to comprehend how hair grows and the way that the lasers target hair follicles. Post- and pre-laser suggestions to patients and the intervals between treatment sessions vary significantly amongst practitioners. Based on published research, guidelines have been developed for the exposure to laser treatments prior to and afterward, along with suggestions for waxing, shaving, plucking, along with other hair removal techniques.

According to the World Health Organization (WHO), coronavirus disease 2019 (COVID-19) is an ongoing epidemic caused by new coronavirus infections that has resulted in 3716075 deaths worldwide.The SARS-CoV-2 major protease (Mpro) is an important component of coronavirus replication and is hence a prime candidate for inhibitor discovery in COVID-19 treatment. The SARS-CoV-2 Mpro is effectively inhibited by the preclinical medicines ebselen and PX-12, which covalently modify the Mpro active site Cys-145 residue by selenosul-fide/disulfide. The reactive sulfur species allicin is subjected to covalent docking at the active site of SARS-CoV-2 M in the current work using PX-12 as a reference molecule and virtual screening methods. According to the findings, allicin causes the SARS-CoV-2 Mpro's Cys-145 and Cys-85/Cys-156 residues to undergo dual S-thioallylation. The hypothesized reactions between N-acetylcysteine amide thiol and allicin/allyl sulfenic acid are computed using density functional theory (DFT) to determine the Gibbs free energychange (DG). Overall, the reaction is exergonic, and the Mpro's Cys-145 residue's allyl disulfide is implicated in a hydrogen bond that is mediated by sulfur. According to the findings, allicin induces dual S-thioallylation of SARS-CoV-2 Mpro, which may be useful for treating and reducing persistent coronavirus infection.

Crohn's disease, a prevalent gastrointestinal disorder, exhibits significant variations in disease severity and outcomes among individuals. This study seeks to investigate the fecal calprotectin concentration in Crohn's disease patients, comparing those who smoke and those who do not. Stool samples were meticulously collected in sterile containers from both smoking and non-smoking Crohn's disease patients to detect calprotectin levels using the CHORUS apparatus. The established threshold values for interpretation were as follows: A POSITIVE result indicated calprotectin levels greater than 60 mg/kg, while a NEGATIVE result indicated levels less than 40 mg/kg.The current study enrolled a total of 60 Crohn's disease patients, with 30 identified as smokers and the remaining 30 as non-smokers. Our findings revealed that the concentration of fecal calprotectin in Crohn's disease patients was notably elevated in those who were tobacco users compared to their non-smoking counterparts. Moreover, a distinct pattern emerged when examining the age groups of the participants. Specifically, the mean ± standard deviation (SD) level of stool calprotectin was observed to be elevated in the age group of 30-49 years among the smoking patients, whereas lower results were recorded in the age group of 10-29 years among non-smoking patients. These results underscore the potential impact of smoking on fecal calprotectin levels in Crohn's disease patients and the role that age may play in this association. Further research and clinical investigation are warranted to explore the mechanisms behind these observed differences and their clinical implications

The Deep Learning (DL) characterizes information driven programming model where the rationale of the interior framework is to a great extent molded via preparing information. The standard method to assess DL models is to check their structure code against a lot of test information. The nature of the test dataset is critical in picking up the certainty of the prepared models. With an inadequate test dataset, DL models that have accomplished high test exactness may in any case need sweeping statement and quality. In customary programming testing, change testing is a settled method for evaluating the nature of test wings, which dissects how well a test suite distinguishes infusion breakdowns. Be that as it may, because of the major contrast among customary and profound learning programs, conventional transformation testing procedures can't be straightforwardly applied to DL frameworks. In this paper we discussed a survey a testing deep learning system with two testing type (i. Mutation Testing, ii. Combinatorial Testing), and highlight the features in each testing type, furthermore; the efficiency of each type in deep learning.

Speech recognition from lip movement is fascinating and challenging research area that has garnered substantial interest in recent times. The ability to recognize speech from lip movement has many potential applications, such as aiding those with hearing impairments and enhancing speech recognition in video conferencing systems and / or in noisy environments. The purpose of this survey is to present a comprehensive summary of the latest cutting-edge techniques of speech recognition from lip movement. It will cover various approaches used in this field, including deep learning-based methods, traditional machine-learning techniques, and hybrid approaches. The paper will also explore the existing datasets, which can be valuable resources for researchers in their future work. Overall, the survey can be beneficial for researchers who are interested in the field of speech recognition using lip movement.

Clinical symptoms of COVID-19, which can cause pulmonary inflammation, are varied. The use of microarray technology to examine variations in gene expression in particular organisms has become a popular new trend in genetic research, which can be used for disease detection and prediction. Large numbers of unprocessed raw gene expression profiles can occasionally make it difficult to choose dataset attributes and categorize them into the proper group or class, which can lead to computational and analytical challenges. Using the whole set of genes makes getting acceptable COVID-19 classification accuracy difficult due to the oversized dimensions, noise in the gene expression data and tiny sample sizes. This review thoroughly assesses microarray COVID-19 illness investigations, emphasizing techniques for selecting features. Hence, COVID-19 could be controlled with the development of a very sensitive and accurate point-of-care COVID-19 detection device, and this review thus offers general recommendations for researchers and workers in the biosensor field.

Decreased T3, T4 are one of the major complications following total thyroidectomy that can range in severity from asymptomatic to an acute life-threatening condition. This decrease was accompanied by an increase in the hormone TSH and the study showed a decrease in protein β-catenin after total thyroidectomy. The current study aims to evaluate the changes that occur in T3, T4, TSH and β-catenin in total thyroidectomy patients, with regard to the periods after the operation.Materials and methods included the presence of three groups of patients with different characteristics in terms of times after the total removal of the thyroid gland, and a fourth group is the healthy group, and each group consisted of 30 samples. Patients with cancer, diabetes, blood pressure, and pregnant women were excluded from the study. Results of this study have shown, decreased T3, T4 and β-catenin was different from one group to another, but all three groups were low than the control group, where the first group was lowest, and then the second and third groups. At the same time, the TSH showed opposite results to the thyroid hormones, as it was noted that the first group was higher than the other groups, and the groups after extraction were larger than the control. The study showed a decrease in the function of the thyroid gland after thyroidectomy, and this was accompanied by an increase in thyroid-stimulating hormone and a decrease in β-catenin in the studied groups after thyroidectomy.