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In the classification of cancer data sets, we note that they contain a number of additional features that influence the classification accuracy. There are many evolutionary algorithms that are used to define the feature and reduce dimensional patterns such as the gray wolf algorithm (GWO) after converting it from a continuous space to a discrete space. In this paper, a method of feature selection was proposed through two consecutive stages in the first stage, the fuzzy mutual information (FMI) technique is used to determine the most important feature selection of diseases dataset through a fuzzy model that was built based on the data size. In the second stage, the binary gray wolf optimization (BGWO) algorithm is used to determine a specific number of features affecting the process of classification, which came from the first stage. The proposed algorithm, FMI_BGWO, describes efficiency and effectiveness by obtaining a higher classification accuracy and a small number of selected genes compared to other competitor algorithms.

Background: Benzodiazepines are usually prescribed for anxiety and sleep disorders in a long-term fashion that may cause drug dependence. Discontinuation after prolonged administration may lead to withdrawal expression, being anxiety the most predominant sign. It has been described that a context-dependent associative learning process underlies diazepam dependence. Nitric oxide is a crucial player in learning and memory processes, hippocampal transmission, as well as in benzodiazepines withdrawal. Considering that previous results from our laboratory showed an increase in hippocampal functional plasticity only in diazepam dependent rats, the aim of the present investigation is to determine whether diazepam dependence could alter neuronal nitric oxide synthase enzyme (NOS-1) expression within the hippocampus, by using western blot. Results: chronic diazepam-treated animals that developed dependence showed increase in NOS-1 expression in dorsal, but not in ventral hippocampus, while no-dependent or control animals presented similar NOS-1 protein levels. Conclusion: withdrawal from long-term diazepam exposure could be associated to increased nitric oxide neurotransmission within dorsal hippocampus induced by NOS-1 over-expression. This mechanism could underlie the improved hippocampal synaptic transmission previously observed in diazepam withdrawn animals. Confirmatory experiments need to be addressed to determine the mechanisms by which nitric oxide participates in benzodiazepines withdrawal in order find new molecular targets to develop pharmacological tools to prevent the withdrawal syndrome

Thermal stress of a continuous rigid frame bridge, based on the temperature gradient in Chinese bridge gauge, using a finite element analysis (FEA) method was investigated. First of all, the temperature effect of the whole bridge was analyzed, and the correlation of the improved amplitude of temperature gradient and temperature effect were studied. It was found that there was a linear relationship with temperature stress and improved temperature. And then, the temperature effect of zero block was analyzed and the details of box girder temperature stress distribution investigated by utilizing the FEA method. It was concluded that temperature stress mainly distributed in the body surface; under the condition of the improvement of temperature field, the center temperature stress of zero block was improved about 60% and the end temperature stress of zero block was improved about 75%.

The strategy of price liberalisation and privatisation had been implemented in Sudan over the last decade, and has had a positive result on government deficit. The investment law approved recently has good statements and rules on the above strategy in particular to pharmacy regulations. Under the pressure of the new privatisation policy, the government introduced radical changes in the pharmacy regulations. To improve the effectiveness of the public pharmacy, resources should be switched towards areas of need, reducing inequalities and promoting better health conditions. Medicines are financed either through cost sharing or full private. The role of the private services is significant. A review of reform of financing medicines in Sudan is given in this study. Also, it highlights the current drug supply system in the public sector, which is currently responsibility of the Central Medical Supplies Public Corporation (CMS). In Sudan, the researchers did not identify any rigorous evaluations or quantitative studies about the impact of drug regulations on the quality of medicines and how to protect public health against counterfeit or low quality medicines, although it is practically possible. However, the regulations must be continually evaluated to ensure the public health is protected against by marketing high quality medicines rather than commercial interests, and the drug companies are held accountable for their conduct.

Introduction: The HRMT (Human Resting Myofasial Tone) factor plays an important role to initiate the trigger the inflammation at the disease site in Ankylosing spondylitis (AS) as in all spondyloarthropathies. The incidence of fibromyalgia is higher in AS and a limiting factor to undergo the exercise program. Aim of the study: To know the effectiveness of soft tissue mobilisation in patients with Ankylosing Spondylitis when it used as an adjuncts to the conventional exercises. Methodology: 40 subjects were randomly assigned in to experimental and conventional group. Experimental group (n=20) received conventional exercises along with soft tissue mobilisation and the conventional group (n=20) received only conventional exercises (flexibility exercises, aerobic exercise and breathing exercise) for a period of 4 weeks, 5days/week. Results: The result of the study showed that both the conventional and experimental groups improved significantly in stiffness, pain and physical function aspects after treatment. However the experimental group had a greater change as compared to conventional group. Conclusion: The study demonstrates that soft tissue mobilisation has an effect when it used before the conventional exercise in patients with ankylosing spondylitis.

This paper presents a laboratory experiment for the formation of hydraulic jump in a rectangular open channel flume to accurately explore the effect of flow structures on water resources. This experiment illustrates the behavior of super-critical flow under sluice gate for various flow rates and downstream depths. Several runs are carried out using Armfield Model No. C4-MKII-5.0-11 to investigate the former computations concerning both the downstream conjugate depth and the critical depth resulting within the jump. Moreover, the model is examined to explore the sensitivity of Froude number by adjusting the flow-meter and over-shot weir in the flume. Also, the type of jump attributed to flow velocity can thus be obtained. Furthermore, both location of hydraulic jump and energy dissipated are discussed under the influence of different gate openings

Geosynthetics used in landfills provides a technical and economic advantages over traditional clay liners. It may create stability issue and even lead to landfill failure due to its low interface or internal shear strength if improperly designed and/or constructed. The most common failure mechanism in geosynthetic-lined landfills is transitional failure involving waste and bottom liner (deep-seated failure) or only final cover system (shallow failure). Shear strengths of geosynthetic-geosynthetic and geosynthetic-soil have a wide range of variations. Shear strengths of interface from literature may be used in preliminary design. For final design, site-specific interface shear strengths shall be used. Internal shear strengths of unreinforced geosynthetic clay liner (GCL) are less than those of reinforced GCLs. Unreinforced GCLs are not recommended for slopes steeper than 1:10 (1 Vertical and 10 Horizontal). Peak shear strength of interface and internal GCLs can be used in bottom liner; residual shear strength of interface and internal GCLs shall be used for geosynthetic placed along the slopes. Site-specific shear strengths of waste are recommended to be used in the design. Landfill failure could be triggered by static loadings including excessive leachate, pore pressure above the bottom liners, gas pressure, and excessive wetness of the geomembrane-GCL, and earthquake loading. The factor of safety of 1.5 is recommended for static loading and 1.0 for earthquake loading. A higher factor of safety is recommended if a failure could have a catastrophic effect on human health or the environment, and if large uncertainty exists in input parameters to calculate the factors of safety. The main objective of this review article is to provide a comprehensive knowledge of slope failure mechanisms, causes, and probable remedies in one place.

Annually the list of pesticides is replenished by new ones. One of the main criteria for their registration is toxicological and hygienic assessment and its impact on the environment. In order to register the new soy herbicide Damu - Safen, EC (fomesafen, 250 g/l) it was necessary to assess its toxicological and hygienic impact on the environment and humans. Therefore, for the first time we conducted studies of the environmental objects under the influence of Damu-Safen, EC (fomesafen, 250 g/l) and the risk assessment of the active substance fomesafen and pesticide Damu - Safen, EC on the workers. According to the results of the assessment of working conditions for the workers of the tanker and the tractor operator, an acceptable risk was obtained that meets regulatory and hygienic requirements. Residual amounts of fomesafen not exceeding the normative levels were found during conducted studies on environmental objects. Consequently, the results of the risk assessment in the application of pesticide Damu-Safen, EC (fomesafen, 250 g/l) and its impact on the working people and environmental objects indicate the possibility of its application in compliance with optimal environmental conditions and compliance with regulations for appliances and personal protective equipment.

The analytical models are mainly combined with numerical equations for the problems of the pavement under the wheel load. Different assumptions can be considered, such as elastic asphalt and viscoelastic as well as static or dynamic load. Mainly on deformation at the bottom of asphalt and tension layers focus on subgrid. The pavement structure was considered as layers with uniform characteristics. Therefore, this analytical model calculates the three-dimensional contact tension between the wheel and the pavement and the shape of the contact area. Basis and subgrid are considered linear and the asphalt layers can be linear or viscoelastic. This model is based on the results of direct shear stress tests at an axial load constant. The curves obtained from this experiment can be defined by three parameters: the maximum shear stress (shear stress curve versus shear displacement), the interaction modulus between the layers (the same curve slope) and the friction coefficient after the failure. Due to the ability of ABACOUS software, this project is done with this software. One of the methods widely used to predict viscoelastic responses of asphalt mixtures is the finite element method. ABAQUS software is one of the tools that can simulate mixed asphalt behavior based on a finite element method, taking into account all the determinant parameters. The use of the Prony series is one of the common techniques for describing the viscoelastic behavior of asphalt mixtures in ABAQUS software. For this purpose, it is necessary to determine the parameters required for this field, including proven constants, moment elastic modulus, and asphalt mixture poison ratio. On the other hand, the determination of these parameters through testing in addition to spending time and costs requires laboratory equipment. Therefore, in this thesis, a three-dimensional finite element model with ABAQUS software was constructed to analyze the persistent pavement using theoretical relations without conducting the experiment. Also, viscoelastic behavior of common asphalt mixtures and time dependence of its responses at different temperatures can be modeled in ABAQUS software. After performing the shear stress test for different axial loads, different temperatures, with or without a single coil, they found that all parameters are temperature dependent and the coefficient of friction does not depend on the applied axial load. This new model improves the accuracy of the finite element model and its important role can be an analytic expression that includes all the variables that are effective in the problem.

The combustion properties of energetic materials have been extensively studied in the scientific literature. With the rapid advancement of data science and artificial intelligence techniques, predicting the performance of solid rocket propellants (SRPs) has become a key focus for researchers globally. Understanding and forecasting the characteristics of SRPs are crucial for analyzing and modeling combustion mechanisms, leading to the development of cutting-edge energetic materials. This study presents a methodology utilizing artificial neural networks (ANN) to create multifactor computational models (MCM) for predicting the burning rate of solid propellants. These models, based on existing burning rate data, can solve direct and inverse tasks, as well as conduct virtual experiments. The objective functions of the models focus on burning rate (direct tasks) and pressure (inverse tasks). This research lays the foundation for developing generalized combustion models to forecast the effects of various catalysts on a range of SRPs. Furthermore, this work represents a new direction in combustion science, contributing to the creation of a High-Energetic Materials Genome that accelerates the development of advanced propellants.