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In the context of the global pandemic, public health screening has become paramount as the whole world including developed countries is going through a health crisis. A face mask prevents transpiration and protects against airborne transmitted bacteria or viruses. In the previous scenario of coronavirus, it was critical to eradicate this sickness and preserve our lives. Hence, prevention is better than cure becomes true. Accordingly, many precautionary measures were taken to reduce the spread of the virus. One such method of prevention is wearing a mask and regular monitoring of body temperature. This research dealt with the design and construction of an automatic entry barrier machine that integrates both facemask detection and scanning of individuals exhibiting elevated body temperature functionalities without any human interference. This was accomplished by simulating and synergizing a microprocessor (Raspberry Pi 3 Model B+), a Pi camera, an Infrared Non-contact Temperature sensor, a servo motor, and other components. The barrier arm opens and allows entrance at normal temperature by indicating a green light, displaying ‘allow’ on the LCD, and signaling once or preventing entrance at an elevated unacceptable temperature by indicating a red light, displaying ‘not allowed’ on the LCD, and signaling five (5) times.

Objective: To study the therapeutic effect of B-ultrasound-guided intrahepatic infusion of autologous bone marrow nucleated cells on decompensated cirrhosis. Methods: To observe the clinical treatment of 75 cases of decompensated cirrhosis. Among them, 30 cases received routine liver protection and diuretic treatment. 45 cases were treated by percutaneous transhepatic infusion of autologous bone marrow nucleated cells under the guidance of B ultrasound. There were no significant differences in liver function and blood routine indexes between the two groups before treatment (p > 0.05). Results: The indexes of liver function and blood routine at different time periods of 1 month, 3 months, 6 months, and 12 months in the conventional treatment group did not change significantly. 6 cases died of liver failure within 1 year, the fatality rate was 20%. The indexes of liver function and blood routine of percutaneous liver transhepatic infusion of autologous bone marrow nucleated cells at 1 month, 3 months, 6 months, and 12 months under the guidance of B-ultrasound were significantly better than those of the conventional treatment group (p < 0.05). One case died of gastrointestinal bleeding in the group of percutaneous transhepatic infusion of autologous bone marrow nucleated cells guided by B ultrasound, with a fatality rate of 2.5%. Compared with the conventional treatment group, there were significant differences (p < 0.05). Conclusion: Conventional drug therapy has no obvious effect on decompensated cirrhosis. Intrahepatic infusion of bone marrow nucleated cells can significantly promote liver function reconstruction in decompensated cirrhosis.

The integration of deep learning and genetic analysis has transformed the assessment of elite sports performance, particularly in competitive swimming. This study examines the fusion of deep learning techniques with DNA markers, physiological biometrics, and performance analytics to enhance the prediction and optimization of swimmer performance. A structured dataset comprising genetic sequences, physiological parameters, and biomechanical attributes was utilized to train a neural network model capable of categorizing swimmers based on genetic predisposition and athletic potential. The model achieved high classification accuracy, demonstrating a strong link between genetic markers, physiological traits, and competitive swimming outcomes. The findings emphasize the potential of AI-driven analytics in talent identification, customized training adaptations, and injury prevention. Furthermore, the study highlights the effectiveness of deep learning in analyzing complex genomic and physiological data to generate meaningful insights for performance enhancement. While the results validate the feasibility of using genetic and AI-based models for performance prediction, further studies are needed to broaden dataset diversity, integrate epigenetic influences, and test the model across varied athlete populations. This research contributes to the expanding field of AI-driven sports science and provides a solid foundation for incorporating genomics with deep learning to enhance elite athletic performance.

Kinematic analysis and surface electromyography are tools being used as important methods to evaluate the human gait and to analyze different types of footwear aiming modifications and adaptations to the human locomotor system, especially of the feet. The aim of the present study was to analyze through electromyography (EMG) the muscles tibialis anterior (TA) and gastrocnemius lateralis (GL) and gastrocnemius medialis (GM) and to capture digital images of the human gait in four different footware situations, barefoot with tennis, platform shoes and high heels. Twenty healthy women with a mean age of 22.6 years took part in this experiment, which was performed on a treadmill at a speed of 3.8 m/s. The results showed that shoes that do not allow a normal movement of the tarsal bones caused changes in the trajectory of the gait, which promotes a greater muscular movement. This study concluded that shoes closer to a normal position and allow greater mobility of the feet, decrease muscular demands, which in everyday situations cause less localized muscular fatigue. 

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.

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.

A preliminary laboratory study was conducted using upflow anaerobic sludge blanket (UASB) reactor to investigate the potential of methane generation from brewery wastewater. Brewery wastewater from a local brewery company was collected and used in the experiments. The experiments were run for 15 days. The rate of methane production was about 5.32 L per kg of chemical oxygen demand (COD) removed per day. The pH reduction in the experimental reactor limited the ability of gas production and is likely the result of the temperature at which the experiments were conducted.

Touch DNA, the minute quantities of DNA deposited through skin contact, has become a valuable tool in forensic investigations. However, the recovery of touch DNA from non-porous surfaces remains a challenging task, requiring optimized collection and extraction techniques to maximize DNA yield, because non-porous surfaces have smooth, non-absorbing material properties. This review explores various non-porous surfaces such as glass, plastic, and metal, analyzing their impact on DNA recovery efficiency. Different collection methods, including swabbing, tape lifting, scrubbing, and vacuum collection methods, are evaluated to determine their effectiveness in retrieving minute amounts of DNA from these surfaces. Through a comparative analysis of existing studies, this paper identifies which collection methods work best for different non-porous surfaces and why choosing the right technique matters. Factors such as surface type, environmental conditions, and collection technique performed, time duration, and so on can affect DNA recovery, making it crucial to use the most effective approach. This review also emphasizes the need for standardized protocols to ensure consistent and reliable results in forensic investigations. Having clear guidelines can reduce errors, improve DNA analysis, and make touch DNA analysis more reliable in forensic investigations. By focusing on these aspects, this study aims to contribute to the ongoing efforts in refining touch DNA recovery strategies.

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.

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.