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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.

The actions exerted by waves on a coastal structure very much depend upon hydrodynamic processes that originate on shallow waters; even though significant progresses have been made in the last few years towards a full understanding of wave breaking, design work is still largely based on classical stability formulas. The recent availability of reliable models based on the numerical integration of full Navier-Stokes equations provides an important tool, but the evaluation of forces on vertical structures in shallow waters is still a particularly delicate application because of the complex hydrodynamic issues involved. The paper presents deals with the numerical simulation of wave effects on front of a vertical obstacle on a sloping bottom, with the objective of clarifying some physical issues which are relevant towards the applicability of numerical Navier-Stokes simulation as a design tool.

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.

The study aimed to investigate the threats to the biodiversity of ethnomedicinal plants and to find consensus information on conservation and management practices of ethnomedicinal plants to contribute sustainable utilization of ethnomedicinal plants in Kore district, Southeastern Ethiopia. The result of the survey revealed that sixty-one medicinal plants were reported by the informants from the study area. These plants are distributed in 59 genera and 37 families. Family Lamiaceae and Asteraceae were represented by 5 (8.2%) species for each family and this is the highest number of species and followed by 4 (6.5%) species of Solanaceae and Fabaceae for each family. Preference ranking analysis shows that Eucalyptus globulus scored 47, indicating that it is the most used plant for firewood in the community, followed by Olea europaea (45) and the least used plant for firewood is Juniperus procera scored 36. Paired comparison analysis showed that Olea Europeae ranked first followed by Podocarpus falcatus for the use of charcoal production in the study area. The major purposes of plant species in the study area were construction, Charcoal, Firewood, Furniture, and Fences as well as for medicinal uses. Based on direct matrix ranking analysis Juniperus procera, Eucalyptus globulus, Podocarpus falactus, Olea europaea, Hagenia abyssinica, Croton macrostachyus, and Cordia africana were the most preferred medicinal plants by local people in the study area. The analysis's findings indicated that anthropogenic influences are endangering medicinal plants. In this study area, only about 13% of medicinal plants are collected from home gardens. This shows that the effort made by the community to conserve medicinal plants is not satisfactory. Therefore, encouraging NGOs and Government offices to participate in the conservation of medicinal plants to encourage the local people to plant indigenous trees for domestic use is necessary.

Spin-depending internal magnetic interactions in oxygen are crucial for the chemistry and photobiology of this molecule. Photosynthesis, respiration, and many other life-supporting oxygen reactions are governed by enzymes that use fine magnetic forces to overcome the spin-forbidden character of all aerobic metabolism. Life on Earth occurs on the border between combustion and oxidative phosphorylation, and this balance is largely dependent on reactive oxygen species. ROS can cause apoptosis or cell necrosis, and ROS also controls homeostasis through numerous signaling functions. Until recently, biochemists had not paid attention to internal magnetic interactions that influence the chemical activity of such ROS as superoxide ion, singlet oxygen, peroxynitrite, and many others. The role of superoxide dismutase, the oldest enzyme on the Earth, which provides superoxide concentration control, stresses the importance of the O2-• species as the precursor of many other ROS. Spin-orbit coupling in O2-• and O2 species are the main internal magnetic interactions that could influence cancer growth and be connected with cancer therapy.

This study investigated the effect of Portland cement on stabilization of heavy metal contaminated clayey soils that may give range of geo environemntal benefits. The absolute concentration of heavy metals: Lead (Pb), Zinc (Zn), Chromium (Cr), Cadmium (Cd) and Copper (Cu) were measured using an inductively coupled plasma atomic emission spectroscopy (ICP-AES). A series of laboratory scale experiments such as unconfined compression test (UCT), pH test and synthetic precipitation leaching procedure (SPLP) were performed to study the effects of curing time and cement content on the unconfined compressive strength (UCS) and leaching characteristics of heavy metals. According to results, excessive concentration of heavy metals are present in the topsoil of Shanghai Jiao Tong University (SJTU) among which Pb, Zn and Cd were most prominent. Other test results showed that the dry density of both C4 and C8 soil samples increases with curing time. Similarly the compressive strength (qu)of C4 and C8 samples at 21 d of curing increases by 40% (113 kPa-288 kPa) and 15% (745kPa-864 kPa) respectively, as compared to the 7 d of curing. Besides, the test results showed a prominent decrease in the leached concentration of heavy metals with increasing curing time.

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.

Aim: The aim of this study was to evaluate the ankle-knee-hip interaction during sit-to-walk (STW) movement and clinical functional abilities of the lower limbs in Parkinson’s patients. Methods: Twenty male patients, ages ranged from 55 to 70 years, stage ΙΙ & ΙΙΙ according to modified Hoehn and Yahr (1997) classification of disabilities and ten male healthy elderly subjects, ages ranged from 55 to 70 years, participated in this study. All subjects were assessed for; clinical functional abilities of the lower limbs, ground reaction force (GRF) & spatiotemporal data and range of motion (ROM) of hip, knee and ankle joints during STW movement. Results: The results showed very significant differences in the GRF among the normal subjects and Parkinson’s patients during STW movement. There were significant differences in hip, knee and ankle joints ROM during STW. There were significant differences in spatiotemporal findings during STW movement. The Parkinson’s disease patients did not merge the two tasks of STW while the elderly subjects merged it. There was impairment in clinical functional abilities of the lower limbs in Parkinson’s patients. Conclusion: A continuum of STW performance and clinical functional abilities whereby the healthy elderly people performed the task more efficiently than PD patients.

The article describes the gamma activation analysis method used to determine the gold content in rock samples using the Aura measuring complex. The physicochemical basis of gold extraction in the process of cyanide leaching is considered. The technology for extracting gold from solutions of tailing waste “ponds” of tailings dumps of hydrometallurgical plants of the Joint Stock Company “Navoi Mining and Metallurgical Combine” (JSC NMMC) is presented. It has been shown that in the dynamic mode of sorption of tailing waste solutions acidified to pH = 3.3÷3.5 through AM-2B and VP-1P ion exchange resins, gold is sorbed on the AM-2B anion exchanger up to 3.9 mg/g and on the VP-1P anion exchanger up to 1.5 mg/g. It has been shown that when solutions of tailing waste are exposed to ammonia, ammonia complex compounds of base metal impurities are formed, which decompose, while the gold cyanide complex does not decompose and is sorbed on the AM-2B ion exchange resin up to 3.0 mg/g. The mechanisms of the chemical reactions of the process of extracting gold from tailing waste and the technological scheme of the installation for extracting gold from solutions of the tailing waste “pond” are presented.

Depressive disorders are so frequent and disabling health conditions which have been inarguably accepted to be a public health concern [1]. Many drugs have been developed to treat depression, however the efficacy of the antidepressants are inadequate particularly for mild or moderate depression [2-4]. It is also mentioned that when considering the trials about the treatment effect of the antidepressants, you should be careful about the results because of reflecting a small proportion of the society [4]. Despite the methodological issues related to the controversial results about the antidepressant efficacy, a recent review showed that the antidepressant effects of the drugs persist in a six month period [5,6].