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Jan 2021 DOI 10.14302/issn.2769-2264.jw-20-3560
N. Bereslavsky E.Corresponding author
Petersburg State University of Civil Aviation, Russian Federation, 196210, St. Petersburg, St. Pilots, 38
The hydrodynamic production considers the filtration of liquid from the pits, fenced with spools of Zhchukovskiy, through a layer of soil, underrunable by a well-permeable pressure aquifer, on the roof of which contains an impenetrable area. To study infiltration on the free surface of groundwater, a mixed regional multi-parametric task of the theory of analytical functions is formulated, which is solved by the Semibarinova-Kochina method and methods of conformal display of areas of special species characteristic of the tasks of underground hydromechanics. Refs. 24. Il. 4. Table 1.
Oct 2020 DOI 10.14302/issn.2377-2549.jndc-20-3534
Hari Venkateswara Rao C.Corresponding author
Ph.D Scholar, Mechanical Engg. Dept., UCE, Osmania University, Hyderabad – 07
In this article I am explaining the Computational Fluid Dynamics (CFD) simulation study on shell made of Composite material when subject to Temperatures above 3000ºC. In this analysis a shell is made of the composite structure with all the properties defines as of the Carbon Phenolic materials and is subjected to temperatures of 3000ºC and the flow pattern over the surface is studied and the velocity gradients on the shell when travelling with such high speeds and temperatures are studied. This simulation study can be used to predict the flow simulation in various applications of heat transmission. This CFD simulation study results are useful to make a CP composite material for better thermal applications in aerospace industry.
Jan 2019 DOI 10.14302/issn.2643-2811.jmbr-18-2538
Shaikh SadiqueCorresponding author
KYDSC Trust’s, Institute of Management & Science (IMS), Bhusawal, M.S, India
In this paper, I try to focus on widely growing field of Management Science; and that, “Modeling of Management Issues “. Now days Business Simulation techniques are used to earn more profit from Business and this is only issues control future course of actions properly. By using models we can predict & control future course of action & situation. Modeling is not a new subject. It’s oldest technique, but widely used in Physical Sciences, like Chemistry, Physics, Electronics, Engineering field, But it’s again become vital after some time in Life Sciences, like Botany, Zoology, Bio-Chemistry, Bio-Tech and Medical field problem modeling and now in current world it’s also become very vital in Information Technology and Management subjects. Here one question is always arise, why such a modeling is needed, and where and when needed, and answer of this simple question is, considering some simple problems like ‘ to find out the width of a river (But your are not allowed to cross it), find out the temperature (but you are not allowed to use thermometer), means try to find out any Quantity or parameter/variable without existence or entity of that, and if virtual situation satisfied by using modeling technique, we implement that virtual model for actual situation. In last I want to conclude modeling is the heart of any branch of Education, weather its science, Arts, Commerce, Medical, Information Technology, Engineering or Management and in summaries form I want to say this paper is nothing but one of the theoretical model, which is for modeling of Management issues for perfect Business Simulation.
Apr 2023 DOI 10.14302/issn.2643-2811.jmbr-23-4528
Wang LeiCorresponding author
Rapidly spreading Covid-19 virus and its variants, especially in metropoli- tan areas around the world, became a major health public concern. The tendency of Covid-19 pandemic and statistical modelling represent an urgent challenge in the United States for which there are few solutions. In this paper, we demonstrate com- bining Fourier terms for capturing seasonality with ARIMA errors and other dynamics in the data. Therefore, we have analyzed 156 weeks COVID-19 dataset on national level using Dynamic Harmonic Regression model, including simulation analysis and ac- curacy improvement from 2020 to 2023. Most importantly, we provide a new advanced pathways which may serve as targets for developing new solutions and approaches.
Feb 2023 DOI 10.14302/issn.2643-2811.jmbr-22-4302
Edeowede Abhulimen AbelCorresponding author
The Gas Turbine operation was investigated with a view to evolving a system designed to provide a realistic imitation of the controls and operation of a Gas Turbine, used for training purposes. Operator Training Simulator has been widely adopted by many industries being a computer simulation which attempts to model a real-life plant so that it can be studied. A well trained and skilled operator is key in increasing power plant safety and productivity. Therefore, enabling quality training for operators is becoming more important as they need to handle increased load of information and duties whereas the lack of training is a major reason for inadequate performance. By changing variables in the simulator, predictions are made about the behaviour of the engine. It is a tool to virtually investigate the behaviour of the system while in operation. This work becomes indispensable because it is prohibitively expensive or simply too dangerous to allow trainees use the real equipment in a power plant. The Gas Turbine operation’s simulator is born from Object Oriented Programming, employing key programming languages. The simulator design focused on specific tasks in the operation of the Gas Turbine which include; startup, synchronization and monitoring of vital parameters like vibration, temperature, pressure, and angle of the Inlet Guide Vane. The statuses of various valves, pumps and motors as well as the Performance of actuators and the response of concatenated components are also being tracked. The simulator was found to effectively mimic a real plant life. With this simulator, trainee operators in Gas Turbine can spend time learning valuable lessons in a "safe" virtual environment yet living a lifelike experience. This will go a long way in minimizing operators’ error in GT power plants, thereby curtailing power outages and conserving power plant components.
Mar 2022 DOI 10.14302/issn.2766-8681.jcsr-22-4126
Sun YongjianCorresponding author
University of Jinan
This design is according to the requirements of the wide rider, and the Multi-function bike computer has the function of velocity measurement, display, timing, lighting, buzzer warning, which could satisfy the requirements of cycling enthusiasts. This design is based on STC89C52 SCM (Single Chip Microcomputer) smallest system and uses hall sensor receives the bicycle wheel rotation numbers date, and then transmit the received data into the SCM. After the SCM’s calculation and processing, it gets the bicycle’s instantaneous speed, mileage, riding time through the LED display the date. The part of software programming use C language, which compiles and downloads by the Keil and STC-ISP. This design uses Proteus to make the circuit diagram drawing and system simulation. The overall program adopted modular approach, and each module has a special function. The idea which makes the program more clear, is advantageous to the optimization of code logic and modification.
Feb 2022 DOI 10.14302/issn.2692-1537.ijcv-22-4101
Khalid Mehmood RaoCorresponding author
Laparoscopic General and Colorectal Surgical Consultant , Barnsley Hospital NHS Foundation Trust, England
Medical education has been extraordinarily disrupted during the COVID-19 era worldwide. The pandemic limited routine ward or patient-based medical education. These limitations have resulted in new challenges for medical students, especially the final year students in completing their mandated curriculum. We are suggesting a revised curriculum for final year medical students, by following which we can address COVID restriction while making sure all competencies have been achieved by students. This revised curriculum centers around the usual placement of students in Surgical Assessment Unit (SAU), however all students will be posted in simulation wards/labs on their turn to enhance and consolidate their understanding and learning of common surgical cases in these wards, so that they can replicate these skills in SAU and wards on their turns. This article highlights how the proposed curriculum addresses the learning needs of final year medical students in their surgery rotation. The article will also summarize the critical appraisal process of our curriculum in the context of curriculum design theories. Finally, the article will highlight the quality assurance measures adhered to while developing the curriculum.
Jan 2021 DOI 10.14302/issn.2766-8681.jcsr-21-3701
Zhao BinCorresponding author
School of Science, Hubei University of Technology, Wuhan, Hubei, China.
Background The novel coronavirus (COVID-19) suddenly appeared in Wuhan, Hubei since December 2019, and quickly swept across China, then the whole world. Today, after more than 100 days of fighting against the virus, China's epidemic has been effectively controlled, but when we looking at the entire world, the novel coronavirus has rampaged globally, especially in the United States and many European countries. This paper mainly studies the impact of COVID-19 outbreaks at Hubei Province and the United States, fits the given data and predicts future trends. Methods Based on the theoretical basis of traditional differential equations and SIR infectious disease model1, and combined with the actual situation to improve the model. Hubei Province is modeled in different time periods, and the effects of birth rate and natural mortality on the model are analyzed. Since the birth rate and natural mortality in the United States in recent years cannot be found, the epidemic situation in the United States can only be analyzed based on the absence of births and natural deaths. Finally, we used Netlogo2 to establish a closed environment (Small World), and combined with known data to conduct simulation experiments on COVID-19 infection. Findings Through the analysis of given data through the SIR model, it is found that before the Chinese government has taken comprehensive measures to cure patients (before 10 February), the number of patients in Hubei Province will reach the peak at the end of February, and will gradually decline thereafter, and on 20 March, the epidemic will be effectively controlled in the future, which coincides with the fact that Wuhan closed the last mobile cabin hospital on 10 March. On the other hand, after the Chinese government tried its best to cure the patients (after 21 February), the number of patients continued to decline over time and will reach 0 in mid-April, which is also consistent with the actual data. According to the factors of birth and natural death, the sensitivity analysis of the above model found that when the epidemic situation is at its peak, it has little effect on the curve, but when the epidemic situation gradually flattens, it still has a certain effect on the trend of the curve. Finally, looking at the situation in the United States, due to the high transmission rate, the number of patients in the United States continues to rise and is expected to reach its maximum in mid-June. We also use Netlogo to simulate the environment in which the virus spread, and find that the general trend of the curves is also consistent with the actual curves. Interpretation The Chinese government has taken various measures to deal with the novel coronavirus pneumonia, including the establishment of two temporary hospitals and dozens of sheltered hospitals, the temporary transformation of university dormitories into isolation rooms345, the closure of Wuhan, the ban on the movement of people and so on. These measures have helped to reduce the spread of the virus and greatly increased the patient's cure rate. But the US government ’s actions are not as effective as China’s, not only because the government ’s actions are inappropriate and untimely, and the people’s opposition to isolation has not subsided. As a result, the virus has spread widely in the United States. More than one million people have been infected with the virus, and tens of thousands of people have died from COVID-196.
Mar 2020 DOI 10.14302/issn.2471-2175.jdrt-20-3274
L. Chiou WinCorresponding author
Chiou Consulting Inc, 8552 Johnston Road, Burr Ridge, Illinois 60527, United States
Pharmacodynamic modeling of sunscreens was performed using a new concept of Skin UV Index (SUI) on the exposed skin as a parameter to evaluate the potential effectiveness of sunscreens against sun damage. The SUI predicts the UV heat intensity on the skin surface in terms of the solar UV Index at the time of the study and is calculated by solar UV Index/sunscreen’s SPF. SUI numbers for sunscreen with SPF ranging from 2 to 100 under a solar UV Index of 10 was used for illustration. Based on guidelines from WHO, Australia and New Zealand, sunscreens yielding SUI < 3 are assumed to be effective against sun damage such as sunburn and melanoma. Based on the above assumption, sunscreens with SPF > 4 were found to be effective when sunscreens were evenly applied at 2 mg/cm2. Review of numerous studies suggests that missing applications may represent a major, seemingly unavoidable, SPF-independent factor causing unintended sunburns for sunbathers in the US and other countries with a temperate climate. This might in turn become a major factor for causing exponential increase in melanoma incidence rates observed in the last few decades. For example, in an SPF 30 sunscreen study all 25 participants suffered unintended sunburns after one week of sunbathing. Also, a mean missing application of 20% of the total exposed area and a mean missing of about 50% of the time were reported in two separate studies. Simulations were also performed with under-applications of 50% and 75%. The present simulations may provide a rationale of why routine use of a low SPF 8 sunscreen was reported to be effective against melanoma in a 2018 Australian study. Based on model simulations it is proposed that in the US, SPF 8 sunscreen and SPF 2 to 6 sunscreen may be adequate for routine, unintentional use for sun-sensitive populations and non-sun-sensitive populations, respectively.
Mar 2020 DOI 10.14302/issn.2643-2811.jmbr-20-3237
S. Oluwafemi OyamakinCorresponding author
Biometry Unit, Department of Statistics, Faculty of Science, University of Ibadan, Nigeria
This article has been retracted on 10 February 2021. VIEW THE RETRACTION NOTICE (https://doi.org/10.14302/issn.2643-2811.jmbr-25-5847) Understanding the implication of Genotype-by-Environment (GXE) interaction structure is an important consideration in plant breeding programs. Traditional statistical analyses of yield trials provide little or no insight into the particular pattern or structure of the GXE interaction. In this study, efforts were made to solve these problems under different level of data occurrence. We employed the simulation process of Monte Carlo in generating since use of a real-life data may pose a serious difficulty. In this paper, we simulated for two data Types of Balance and Unbalance designs with different Levels of generations (3X3, 7X7, 10X10, and 3X7, 7X3, 7X10, 10X7 , , respectively). We therefore check the performance of GXE interaction on four different models (AMMI, FW, GGE and Mixed model), and also their stability and adaptability. The findings revealed that, when the assumption was maintained, AMMI outperformed Finlay-Wilkinson model, GGE Biplot model and Mixed model.
Aug 2019 DOI 10.14302/issn.2572-3030.jcgb-19-2597
Oluwafemi Oyamakin S.Corresponding author
Department of Statistics, University of Ibadan, Nigeria
In other to present a series of stochastic models from population dynamics capable of describing rudimentary aspects of genetic evolution, we studied two-allele Wright–Fisher and the Moran models for evolution of the relative frequencies of two alleles at a diploid locus under random genetic drift in a population of fixed size “simplest form, selection, and random mutation”. Principal results were presented in qualitative terms, illustrated by Monte Carlo simulations from R and http://www.radford.edu/~rsheehy/Gen_flash/popgen. Moran and the Wright-Fisher Models exhibited the same fixation probabilities, only that the Moran model runs twice as fast as the Wright-Fisher Model. A clue that can help us to understand this result is provided by the variance in reproductive success in the two models. Genetic changes due to drift were neither directional nor predictable in any deterministic way. Nonetheless, genetic drift led to evolutionary change in the absence of mutation (P=0.5), natural selection or gene flow. In general, alleles drift to fixation is significantly faster in smaller populations. Probability of fixation of an allele A was approximately equivalent to the initial frequency of that allele. With the inclusion of selection in our model, probability of fixation of a favoured allele due to natural selection increased with increase in fitness advantage and population size. The time taken to reach fixation is much slower, in case of no selective advantage, than a fixation under mutation with selective advantage.
Jul 2019 DOI 10.14302/issn.2577-2279.ijha-19-2976
Awad Hegazy AbdelmonemCorresponding author
Department of Human Anatomy and Embryology, Faculty of Medicine, Zagazig University, Zagazig 44519, Egypt
An educational essay frames human anatomy as foundational to medicine and surgery, highlighting learning modalities and integration with imaging and simulation.
Jun 2019 DOI 10.14302/issn.2377-2549.jndc-19-2765
Heidari AlirezaCorresponding author
Faculty of Chemistry, California South University, 14731 Comet St. Irvine, CA 92604, USA
Tetrodotoxin (TTX) is a potent neurotoxin. Its name derives from Tetraodontiformes, an order that includes pufferfish, porcupinefish, ocean sunfish, and triggerfish; several of these species carry the toxin. Although tetrodotoxin was discovered in these fish and found in several other aquatic animals (e.g., in blue–ringed octopuses, rough–skinned newts, and moon snails), it is actually produced by certain infecting or symbiotic bacteria like Pseudoalteromonas, Pseudomonas, and Vibrio as well as other species found in animals. Parameters such as FT–IR and Raman vibrational wavelengths and intensities for single crystal Tetrodotoxin (TTX)are calculated using density functional theory and were compared with empirical results. The investigation about vibrational spectrum of cycle dimers in crystal with carboxyl groups from each molecule of acid was shown that it leads to create Hydrogen bounds for adjacent molecules. The current study aimed to investigate the possibility of simulating the empirical values. Analysis of vibrational spectrum of Tetrodotoxin (TTX) is performed based on theoretical simulation and FT–IR empirical spectrum and Raman empirical spectrum using density functional theory in levels of F/6–31G*, HF/6–31++G**, MP2/6–31G, MP2/6–31++G**, BLYP/6–31G, BLYP/6–31++G**, B3LYP/6–31G and B3LYP6–31–HEG**. Vibration modes of methylene, carboxyl acid and phenyl cycle are separately investigated. The obtained values confirm high accuracy and validity of results obtained from calculations. Molecular structure of Tetrodotoxin (TTX) 1–42.
Dec 2018 DOI 10.14302/issn.2641-5526.jmid-18-2488
Luis Fernández-Martínez JuanCorresponding author
Group of Inverse Problems, Optimization and Machine Learning. Department of Mathematics, Universidad de Oviedo, Oviedo, Asturias, Spain
Background: Triple Negative Breast Cancer (TNBC) is a type of breast cancer with very bad prognosis. Predicting the histological grade (HG) and the lymph nodes metastasis is crucial for developing more suitable treatment strategies. Methods: We present the main clinical and pathological variables to predict the histological grade and lymph nodes metastasis via novel machine learning techniques. These variables are currently being used for prognosis and treatment in medical practice. This analysis was performed using a database of 102 Caucasian women diagnosed with TNBC. The results were cross-validated using random simulations of this dataset. Results: HG was predicted with an accuracy of 93.8% using a list of 6 prognostic variables with significant implications: Ki67 expression, use of Oral contraceptives, Col11A1 expression, Col11A1 score, E-cad truncated and Tumor size. The lymph nodes metastasis was predicted with an accuracy of almost 85% using only 6 prognostic variables: Vascular invasion, Tumor size, Perineural invasion, Age at diagnosis, Ki67 expression, and Col11A1 score. This analysis also served to establish the median signatures of the groups with and without lymph node metastasis, and proved the existence of a kind of small-size tumors (around 2.15 cm) with lymph node metastasis but not showing vascular and perineural invasions and higher protein Col11A1 score. Besides, these signatures proved to be very stable. Conclusions: The additional information conveyed by the prognostic variables found in these two classification problems provides new insight about the genesis and progression of this disease and can be used in medical practice to improve decisions in patient diagnosis and further treatment.
Aug 2018
Bai QifengCorresponding author
Key Lab of Preclinical Study for New Drugs of Gansu Province, School of Basic Medical Sciences, Lanzhou University, Lanzhou, Gansu 730000, P. R. China
Drug design, referred to the fields of pharmacology, biotechnology and medicine, is in silico, in vitro and in vivo assay processes of finding new candidate medications based on the biological targets. The in silicoexperiments of drug discovery are involved in the macromolecular structure databases, small molecule databases, molecular docking, de novo drug design and molecular dynamics simulations. The in vitro experiments of drug discovery need evaluate the direct interaction information between ligands and targets as well as the function of ligands on signaling pathway in the cell. The in vivo experiments of drug discovery give the convincing evidence for preclinical trial at the physiological level. In this review, we outline the drug design components of databases, virtual screening tools, biochemical assays, cell-based system and animal models.
Aug 2018 DOI 10.14302/issn.2576-6694.jbbs-18-2173
Tabassum Khan NidaCorresponding author
Department of Biotechnology, Faculty of Life Sciences and Informatics, Balochistan University of Information Technology Engineering and Management Sciences,(BUITEMS),Quetta, Pakistan
Bioinformatic tools is widely used to manage the enormous genomic and proteomic data involving DNA/protein sequences management, drug designing, homology modelling, motif/domain prediction ,docking, annotation and dynamic simulation etc. Bioinformatics offers a wide range of applications in numerous disciplines such as genomics. Proteomics, comparative genomics, nutrigenomics, microbial genome, biodefense, forensics etc. Thus it offers promising future to accelerate scientific research in biotechnology
Apr 2018 DOI 10.14302/issn.2577-2279.ijha-18-2030
A. Kiryanov N.Corresponding author
Izhevsk State Medical Academy, Russia.
Introduction: The use of non-medicinal facilities for correcting processes in various pathological conditions is one of the most urgent problems of modern medicine. Purpose of the Work: To study the effect of low-intensity infrared laser radiation on reparative bone formation and angiogenesis in bone regeneration which is formed in treatment of fractures under conditions of transosseous osteosynthesis. Material and Methods: A tibia fracture was modeled experimentally in rats in the control and experimental groups. Reposition and fixation of fragments were performed. The fracture zone in the experimental group animals was exposed to the impact of pulsed infrared laser irradiation of low intensity. Animals from the control group underwent the impact simulation. The operated bones were investigated using the methods of X-ray, light and electron microscopy, X-ray electron probe microanalysis. Results: It was established that laser radiation exposure sessions activated fibrillogenesis and angiogenesis, accelerated compacting of newly formed bone tissue and increased its maturity while primary fracture healing occurred. Prolonged capillary dilatation and endothelium-dependent vasodilation, intensive capillarogenesis were noted after sessions of laser therapy in bone regeneration. Endothelial outgrowth was formed in the lumen of the vessels forming capillary buds that propagate along the “mother” vessels (endovascular capillarogenesis). Conclusion: The data obtained revealed a possible mechanism of laser radiation exposure at the level of a whole organism and proved the effectiveness of its application in clinical practice at the early stages of patient rehabilitation under conditions of transosseous osteosynthesis.
Jun 2015 DOI 10.14302/issn.2381-862X.jwrh-14-622
E. Evensen AnnCorresponding author
Department of Family Medicine, University of Wisconsin School of Medicine and Public Health, 100 North Nine Mound Road, Verona, WI
Basic Life Support in Obstetrics (BLSO®) is a novel, simulation-based, emergency obstetrics training program for health care workers who perform deliveries infrequently, such as paramedics and nurses. Advanced Life Support in Obstetrics (ALSO®) is intended for regular maternity care providers such as physicians and certified nurse midwives. This paper describes a pre/post study of 111 learners in two ALSO and two BLSO courses taught in Addis Ababa, Bonga, and Jimma, Ethiopia in October, 2012. The study objective was to assess the effectiveness of ALSO and BLSO training programs to improve Ethiopian health care workers’ confidence in managing common obstetrical problems. A previously-validated survey tool was given immediately pre- and post-course and six months post-course. The survey tool included demographic questions and Likert scales to self-assess comfort managing 13 common obstetric emergencies including postpartum hemorrhage, maternal resuscitation, and preeclampsia. Ninety-seven ALSO and BLSO learners completed pre- and immediate post-training questionnaires. Nineteen ALSO learners completed the 6 month post-training questionnaire. Immediately post-course, participants in ALSO and BLSO courses reported increased comfort in all 13 areas assessed. ALSO participants had increased comfort at 6 months in all areas except breech delivery. Participation in a novel emergency obstetrics training program increases Ethiopian health workers’ self-assessed confidence in addressing common obstetrical emergencies. This increase in confidence persists in most topic areas for at least six months. This paper describes the first formal evaluation of BLSO and contributes to the growing body of evidence regarding the value of ALSO training in a low- and middle-income country.
Jul 2013 DOI 10.14302/issn.2326-0793.jpgr-12-160
J. Fu WenjiangCorresponding author
Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, Michigan 48824 USA
Maternal-fetal genotype (MFG) incompatibility has been shown to be strongly associated with a number of genetic diseases. Most current methods for the MFG test rely on parents-offspring trio genotype data and do not apply to mother-offspring pair data where paternal genotype is unavailable. In this paper, we developed a two-stage method for testing the allelic effect of given SNP through subgroup analysis of compatible MFG pairs and further tested the MFG incompatibility effect according to different scenarios determined by the allelic effect. Simulation studies demonstrated that this novel two-stage model is powerful in detecting the MFG incompatibility effect. This method can be implemented through publicly available statistical software, such as SAS, R, etc. We demonstrate with a case-control study of small for gestational age neonates that the method identified a SNP in the IGF2R gene with a significant allelic effect (p = 0.037), and a SNP in the IGF1 gene with a significant MFG incompatibility effect (OR = 0.75 and p = 0.033).