Simulation of Hydraulic Jump through Channels Junction Using the Flor 3D and Flunent Models

This paper presents to analyze the current characteristics in channel’s junction and their upstream and downstream based on hydraulic jump due to junction. In this case using two rectangular flume with 1 and 5 percent slope to production of current with different landing number in upstream of channels, double-width proportion of secondary channel to main channel, three proportion in discharge of secondary channel to total flow, and finally two total flows and connection angle of 90 degree, is considered. By comparing the result, one can find out various parameters affect on width leap and its distance of production location. In other word, when the size of total flow, proportion of secondary channel to total flow, the width proportion of main channel to secondary channel, and linear slope of two channels increases, the hydraulic jump width and its distance of production location could be increased. Generally, in 12 cases been analyzed, in some cases is noticeable, although in different cases is negligible. Also, the separation zone in all of cases could be observed. Furthermore, the FLOW3D could provide more ideal results than experimental model.Peer ReviewedPostprint (published version

The Effect of Nutrition on Immune System Review Paper

The most basic definition of immunity is the ability of the organism to resist the invasion of microorganisms and harmful substances. Blood plays an important role in immune development due to the presence of certain types of white blood cells in the blood and in some other tissues have the ability to eliminate strange organisms and destroy it as well the blood plasma contains antibodies made by certain immune cells to resist any strange proteins or any other substances linked to proteins, such proteins that stimulate the body tissues to form antibodies called antigen generators or antigens.Some objects work on precipitation these strange proteins to isolate them, so it called precipitins, while others work on the conglomerate of microorganisms or red blood cells. These are called agglutinins, while some act on neutralizing of toxins, called antitoxins.Immunizations are either natural immunity or innate immunity or acquired immunity. When the body resists the invasion of a particular species of microorganisms for the first time, it will have natural immunity, But the immunity acquired by the individual as a result of immunizations or vaccination of such microorganisms is known as acquired immunity, However, acquired immunity may be natural or artificial. The immunity generated in the individual an actual measles infection is known as naturally acquired immunity, but the immunity that is formed as a result of vaccinating the individual of typhoid or diphtheria vaccine is artificially acquired immunity (1, 2, 3, 4, 5).However, acquired immunity may be natural or artificial. The immunity generated in the individual following an actual measles infection is known as naturally acquired immunity (6). DOI: 10.7176/FSQM/90-06 Publication date:September 30th 201

Stock market trend prediction using supervised learning

© 2019 Association for Computing Machinery. The stock trend prediction has received considerable attention of researchers in recent times. It is an important application in machine learning domain. In this work, we propose a machine learning based stock trend prediction system with a focus on minimizing data sparseness in the acquired datasets. We perform outlier detection on the acquired dataset for dimensionality reduction and employ K-nearest neighbor classifier for predicting stock trend. Results obtained show the effectiveness of the proposed system, when compared with baseline studies

Immersive horizons: navigating ethical terrain and practical boundaries in the use of virtual reality for cancer symptom management – a comprehensive narrative review

Cancer is a significant healthcare problem. However, advancements in diagnostic procedures and therapeutic modalities have led to a decline in cancer mortality rates by 1% annually in most countries. Cancer patients often experience symptoms such as pain, cancer-related fatigue, anxiety, and lymphedema. To counter these side effects, there have been tremendous efforts. One such effort is the use of virtual reality (VR) technology, which is an interactive technology. VR has played a significant role in managing disorders such as phobias and anxiety disorders, and support for patients with cognitive and physical rehabilitation, acute and chronic pain management, and emotional support in different settings such as during hospitalizations. Our team conducted an extensive search for electronic literature on virtual reality in various databases, such as Medline, PubMed, Google Scholar, and Psych INFO, up to July 2023. We used keywords like "virtual reality," "cancer care," "depression," "cognition," "pain," "telemedicine," "rehabilitation care," "physical therapy," "radiotherapy," "telerehabilitation," "avatar," "video games," and "visual aid" as our search criteria. VR interventions for cancer patients include exposure therapy, psycho-education, and relaxation techniques, which have been shown to reduce symptoms significantly. VR distraction can also mitigate pain during medical procedures. Studies suggest that VR holds promise in rehabilitation and oncologic treatment, as it can improve function metrics, range of motion, and motivation for treatment. The review scrutinizes the use of digital information and virtual reality technology to alleviate cancer-related distress by providing remote care.

Epidemiology of neonatal congenital hypothyroidism during 2011-2017

Introduction: Neonatal hypothyroidism is a condition of treatable thyroid deficiency that can lead to severe retardation if not diagnosed on time or inappropriately treated. The present study is an epidemiologic study of neonatal congenital hypothyroidism in Lordegan during 2012-2018. Materials and Methods: This descriptive-analytical study was performed to evaluate the epidemiological characteristics of congenital hypothyroidism. The data were entered into SPSS version 20 software and analyzed by statistical tests, Chi square, ANOVA, T-Test, Pearson Correlation and Spearman Correlation at 0.05 Level. Results: The analysis of 7-years data showed that from the screening of 39332 newborns, 335 were identified as definitive patients, 159 males, 176 females, 275 rural (82.1%) and 169 neonates with a history of family marriage (50.4%). There was a significant relationship between neonatal birth weight and congenital hypothyroidism (P = 0.000). There was a significant relationship between type of delivery and hypothyroidism (P = 0.000). In the treated children, there was a direct relationship between the age of onset of treatment and their TSH level, which was statistically significant (P = 0.013). Conclusion: Due to the high prevalence of congenital hypothyroidism in Lordegan, it is necessary to study further the factors affecting the incidence of congenital hypothyroidism as well as educate pregnant women and timely screening for this disease. keywords: Congenital Hypothyroidism, Epidemiology, Neonata

Optimizing the Air Conditioning Layouts of an Indoor Built Environment:Towards the Energy and Environmental Benefits of a Clean Room

Reducing energy consumption in buildings has received intensified research impetus since the introduction of the decarbonization goals set in the Paris agreement. Many domestic and specialized applications require clean rooms (indoor built environments) for safe and clean operation. Energy efficiency in clean room spaces depends on maintaining livable or required conditions such as temperature, humidity, and particle concentration with minimal use of energy and new carbon dioxide (CO2) emissions. In the literature, parameters such as temperature, relative humidity, particle concentrations, and CO2 emissions are not able to be properly controlled in clean room systems. The designed system in the literature involves high energy consumption and high economic costs. All these factors add novelty to this research, which was a significant research gap in previous studies. This clean room is directly linked to environmental parameters such as ambient temperature, relative humidity, etc. The clean room is also related directly to the building and infrastructure in such a way that there are certain regulatory requirements for designing a clean room. For designing and constructing the controlled environment in a clean room, the English (EN) documents, ISO 9000, and various other standards allow for clean rooms for different types of products. In this research, the designed control configurations properly control the system. Additionally, this system is energy efficient, with positive environmental aspects regarding CO2 emissions. Three control configurations were designed in this research, option A, option B, and option C, and three parameters are controlled in the study. These parameters are room temperature, relative humidity, and CO2 emissions (outside the room). CO2 emissions are controlled outside the room (in the environment). In the last research phase, a comparative analysis of these three control configurations was performed to find an energy-efficient system with fewer CO2 emissions. Control configuration B (option B) provides reliable results regarding an energy-efficient system and fewer CO2 emissions emitted to the environment. In this study, an optimized configuration for the air conditioning system was developed for a clean room (volume 185.6 m3) with a required temperature of 23 °C, relative humidity of 40%, and a particle size of less than 0.3 μm. Three different design configurations were analyzed using TRNSYS simulation software. The minimization of energy use and CO2 emissions were the objective functions. Energy loads were calculated for each of the configurations by varying the fixed air change per hour and the minimum outdoor air flow rate. The results of a whole year simulation run for control configurations A, B, and show that, on the one hand, the ambient weather conditions of temperature and relative humidity (RH) is varied throughout year and, on the other hand, the clean room temperature was maintain at exactly 23 °C, which is the required set point temperature, for all the three configurations (A, B, and C). Furthermore, the clean room relative humidity was maintained at 36% for configuration A, below the 40% which was the set point for clean room relative humidity, and at 40% for configurations B and C. Configuration B exhibited the minimum energy use (7300 kWh), at a fixed air change per hour value of 20 and a minimum outdoor air flow rate of 150 L/s, with the least amount of CO2 emissions, offering an overall 25% improvement over configurations A and C

Effects of Irrigation Regimes and Rice Varieties on Methane Emissions and Yield of Dry Season Rice in Bangladesh

Adoption of the right rice variety and water-saving irrigation method could reduce greenhouse gas (GHG) emissions in lowland rice cultivation. A study was conducted at the research farm of Bangladesh Agricultural University, Mymensingh, Bangladesh, in 2019 during the Boro (dry) season to determine the impacts of different rice varieties (BRRI dhan29, BRRI dhan47, BRRI dhan69, Binadhan-8, Binadhan-10, and Binadhan-17) on methane (CH4) emissions under two irrigation methods, i.e., alternate wetting and drying (AWD) and continuous flooding (CF). The treatments were laid out in a split-plot design, considering water regime as the main plots and rice variety as the sub-plots. The emission rates of CH4 were determined by collecting air samples using the closed chamber technique and measuring the concentrations using a gas chromatograph. CH4 emission rates varied with the growth and development of the rice varieties. The lowest cumulative CH4 emission rate was observed in Binadhan-17, particularly under AWD irrigation. Across the rice varieties, AWD irrigation significantly reduced the cumulative CH4 emissions by about 35% compared with CF. No significant variation in rice yield was observed between AWD (5.38 t ha−1) and CF (5.16 t ha−1). This study suggests that the cultivation of Binadhan-17 under AWD irrigation could be effective at reducing the carbon footprint of lowland rice fields

Dynamic load modeling for bulk load-using synchrophasors with wide area measurement system for smart grid real-time load monitoring and optimization

Bulk data modeling in a smart grid dynamic network has been performed using an automated load modeling tool (ALMT), an on-load tap changer, and exponential dynamic load modeling. However, studies have observed that a small parameter variation may lead to considerable variations in measuring grid big data. Therefore, this study presents dynamic real-time load modeling, monitoring, and optimization method for the bulk load. The case study was conducted on Sarawak Energy Berhad (SEB), Malaysia. The grid system’s real-time data and load modeling achieved the objectives. Dynamic load model was achieved by using load response in MATLAB Simulink environment. This paper also includes new parameter estimations of the load composition at the selected bus. The simulation results of load models were compared with the recorded data by applying an event of bus tripping time interval. The Least Square Error Method was used to converge the estimated parameter values on load composition and compared with the actual recorded data until optimized load models were achieved. This work is a precious and significant contribution to utility research to identify, monitor, and optimize the most appropriate representation of system loads

Transforming the Capabilities of Artificial Intelligence in GCC Financial Sector: A Systematic Literature Review

Identity and access management is a business process framework that makes it easier to maintain genuine user identities and regulate access to sensitive assets. The word "access control"refers to an organization's policy for authorizing access procedures, the mechanisms that implement and enforce the policy, and the model that the policy and procedures are built on. Adopting new technology may give rise to specific cyber threats that decrease or degrade business operations. The paper has designed to discuss the artificial intelligence-based access control system as a necessary component of governing and safeguarding the financial sector's information assets in the Gulf Cooperation Council (GCC) region. Due to the dynamic and complicated nature of security rules for access control, organizations that employ web-enabled remote access in conjunction with applications access deployed over several networks face various obstacles, including increased operational complexity and monitoring concerns. Organizations spend a vast budget on securing their business. As the industry trend has shifted to intelligent internet-based companies on the same side, the cyber threat has become a challenge for the researcher to find the solution. A systematic research is conducted to fill the gaps in the existing literature by picking the most relevant research papers (126) from the four most reputable online repositories based on the four research questions specified. These research topics aim to evaluate the current situation from many perspectives and provide new avenues for future study to be studied soon to maintain high security and authenticity inside financial sectors of the GCC's countries

Experimental Study on Plasmodium berghei, Anopheles Stephensi, and BALB/c Mouse System: Implications for Malaria Transmission Blocking Assays

Background:Plasmodium berghei is a rodent malaria parasiteand has been very valuable means in the progress of our understanding of the essential molecular and cellular biology of the malaria parasites. Availability of hosts such as mice and vectors such as Anopheles stephensi has made this parasite a suitable system to study the parasite-host and vector-parasite relationships. Numerous studies have described life cycle and parameters influencing maintenance of the parasite within the mice or the mosquito. In this paper we revealed more details and have addressed some parameters and points influence maintenance of various life stages of the parasite (merozoites, macrogametocytes, ookinetes, oocysts and sporozoites) in the laboratory model P.berghei–A.stephensi-BALB/c mouse. This study helps understanding the biology of vertebrate-parasite and mosquito-malaria interactions that may aid in the development of a new generation of drug/vaccine and vector-based measures for malaria control