bluuebunny/crossref_metadata_2025 huggingface dataset:
First order basis splines to perform isogeometric topology optimisation to design the outline of bridge pier and analyse using idea statica®
Authors: Srilatha P. , Narmada D. , D. Tarun Kumar , Arun M. , D. Yuva Kumar , Chandrasekhar K. N. V.
Published: March 2023

Now-a-days managing the traffic in major cities is a challenging task. One of the ways is to construct flyovers over intersections and to ensure smooth signal less traffic flow. The design philosophy has now become the design norm for most of the structural systems. To provide Reinforced Concrete Flyover Bridge is very essential in all major cities like Hyderabad, Chennai, and Mumbai etc. Our study is mainly focused on design and analysis of concrete bridge pier. The present study focuses on pier of an elevated bridge which is conventionally based on force based approach. The main focus of the present study is to perform an optimal design of a reinforced concrete pier which carries the deck of the flyover. The traffic flow is taken for 2 lane flyover on each side of the median. An Isogeometric topology optimization algorithm is used to determine the outline of the bridge pier. The bridge pier is then modeled in AutoCAD and imported to IDEA StatiCa® software. The reinforcement is calculated using Indian Standard (IS) code with all the necessary checks. The distribution of material within the given domain is determined. Shear strength, bending strength and crushing strength are calculated manually for checking strength compatibility. The static analysis and buckling analysis is performed using Idea Statica® software and the results are obtained.
Experimental analysis on alkali activated fly ash (AAFG) and GGBS based coarse aggregate in cement concrete
Authors: Naveena M. P. , Narayana G.
Published: March 2023

Many applications of fly ash have been studied and employed in various fields. Thermal power stations use pulverized coal as fuel. Thus produce large amounts of fly ash as a by-product of combustion. The present analyses investigates the manufacturing process of Alkali Activated Fly Ash (AAFG) and Ground Granulated Blast Furnace Slag (GGBS) Based Coarse Aggregate using an ordinary concrete mixer and its properties are analyzed. The flexural capacity of the Reinforce Concrete (RC) beam with AAFG increases by increasing the diameter of reinforcement and decreases in the replacement AAFG beam, and the crack width decreases as an increase in the replacement of the fly ash aggregate up to 50% in concrete. The durability property of concrete blended with AAFG shows similar results to conventional concrete. From the Rapid Chloride Permeability Test (RCPT) results, it shows that AAFG concrete and conventional concrete are both in the moderate zone only.
Photocatalytic degradation of polyvinyl chloride plastic film by codoping graphene oxide and titanium dioxide
Authors: Basavaraj R. Hiremath , Akshay Muttinamath
Published: March 2023

Considering the current plastic usage and environmental issues linked with PVC plastic, current research treatment technologies are critical. One of the most commonly used and dumped types of plastic is Poly Vinyl Chloride (PVC). Multiple studies have shown that it is extremely harmful to both human health and the environment. The current work investigates photocatalytic degradation of PVC using Titanium Dioxide (TiO2) and Graphene Oxide (GO). In this research, degradation efficiency is calculated by conducting four sets of tests. Initially, the degradation of PVC plastic is investigated, and then the TiO2, GO is mixed with PVC and the degradation is calculated. These experiments are calculated with the help of a photo reactor. The weight loss rates of PVC, PVC/TiO2 (0.3 g TiO2), PVC/GO (0.3 g GO), PVC/TiO2/GO (0.3 g TiO2, 0.3g GO) plastic films after 12 hours of Ultraviolet (UV) irradiation were 3.98 %, 70.14 %, 14.85 %, and 27.59 %, respectively. In this research, the maximum degradation efficiency of PVC was 70.14%, when the PVC was mixed with 0.3g of TiO2 at 12 hours of UV irradiation. Doped PVC shows less degradation efficiency compared with PVC/TiO2.
An advanced MPPT algorithm for PV systems to track GMPP under PSC condition
Authors: Sireesha A. , B. Mahesh Babu , Ravindra K.
Published: March 2023

Growing demand for energy and concerns about environmental pollution has increased the use of renewable energy sources for electricity generation. Among all the renewable energy sources, solar energy is considered the most popular because of its huge benefits. This paper addresses two different problems with using photovoltaic (PV) systems in different applications. One of which is poor tracking performance, especially under partially shaded conditions (PSC). Therefore for global maximum power point (GMPP) tracking, a swarm intelligence-based maximum power point tracking (MPPT) method is used, which includes a particle swarm optimization (PSO) algorithm under the PSC, thereby improving the tracking efficiency of the PV system.
Nine-level cascaded multilevel inverter for PV systems
Authors: Jammu Akhil , Gajula Vamshi Krishna , Guntuka Yashwanth , Dasari Mounika
Published: March 2023

This paper presents an improved Cascaded Multilevel Inverter (CMLI) based on a highly efficient and reliable configuration for the minimization of the leakage current. The suggested technique also exhibits minimal switching and conduction losses in addition to having fewer switches. The proposed topology using the specified, high-frequency voltage is decreased by the Pulse Width Modulation (PWM) approach, voltage changes at the terminal and commonmode levels. Keeping away from high-frequency voltage changes results in the reduction in leakage current and a reduction in the size EMI filter. In addition, the continuation of the CMLI and the PWM method for 2m+1 levels is also shown, where m denotes quantity, solar energy, photovoltaic (PV) sources. The suggested PWM to cover all 2m+1, only one carrier wave is required levels of performance. Total Harmonic Distortion (THD) is the planned CMLI network current that meets the specifications of the Institute of Electrical and Electronics Engineers (IEEE) 1547 standard. The paper also includes a comparison of the proposed CMLI topology and the existing multilevel inverter (MLI) PV topology. The article presents the full features of the common-mode and photovoltaic voltage terminal analysis proposed by CMLI using switching function ideas, simulations, and experimental results.
Dual-band microstrip patch antenna for IoT application
Authors: Mrityunjay Kumar , Chandan  , Parimal Tiwari , Umesh Singh
Published: March 2023

Internet of Things (IoT) primarily based application requires integration with the wireless communication technology to make the application data with ease available. In this paper, a modified 12 mm x 16 mm x 1.6 mm micro strip patch antenna has been proposed for IoT applications at 2.4 Giga Hertz (GHz) in the Industrial Scientific and Medical (ISM) band. This wideband antenna is designed using Flame Retardant4 (FR4) material as the substrate. The multiband operating characteristics have been achieved by radiating strips to the 50 feed line. Proposed wideband antenna covers frequencies ranging from 1.8 GHz to 3 GHz and 5.3 GHz to 6.9 GHz for -10 dB return loss. The results are analyzed and discuss in term of return loss, Voltage Standing Wave Ratio (VSWR), efficiency and gain. The proposed design has a maximum losses of -31.59 dB at 2.4 GHz and -16.94 dB at 6 GHz. The developed antenna can be useful for several wireless communication applications, such as 2.4 GHz Bluetooth, Wireless Local-Area Network (WLAN) (2.4/5.8 GHz), Worldwide Interoperability for Microwave Access (WiMAX) (5.5 GHz), ISM band and IoT applications.
The paradigm of english as an international language (EIL): Tertiary-level learning outcomes from an expanding circle context
Authors: Şakire Erbay-Çetinkaya , Mustafa Naci Kayaoglu
Published: March 2023

The changing sociolinguistic landscape of English with novel uses and users calls for adjustment of the existing Anglocentric English Language Teaching practices, thereby encouraging paradigm shifts, including Teaching English as an International Language (TEIL). To this end, for a PhD study, an EIL-oriented course was designed and implemented, aiming at promoting understanding and awareness of sociolinguistic realities and the complexity of English, changing attitudes towards diversity, and enhancing proficiency. Later, a course evaluation with 53 preparatory English majoring participants (F = 41, M = 12) was conducted to find out whether it could achieve these designed outcomes. The data was drawn in a mixed-method way from a pre and post-treatment questionnaire and focus-group interviews. The participants' understanding and awareness improved, and most took positive attitudes towards EIL, and their listening, interaction, and critical thinking skills broadened. Yet, it was also found that because some still regarded Americans and the British as the custodians, they viewed diversity as corruption, thereby tending to see Standard English as the only instructional variety to be brought to the classroom. In the end, ways to turn the classroom into an EIL-sensitive, interactive, and authentic atmosphere to give students a real reason to communicate, hear, and respect differences at both linguistic and cultural levels were suggested.
Tailoring workplace training to generational preferences
Authors: Zane L. Berge , Kristen M. Garcia , Michelle A. Graham
Published: March 2023

Given the array of generations in the workplace and the variety of learning theories and technological exposure across those generations, many instructional design professionals argue that training should be tailored to these differences. We were skeptical of this assertion and sought to explore evidence for improved effectiveness in tailoring training based on generational differences. Through a review of literature, we explored the variables creating differences across generations, including learning preferences, teaching methods, learning theories, technology, and motivation. We considered the impact of teaching methodologies during learners' formative years on their preferences for learning as adults. We found a lack of substantive evidence that generational differences supported the assertion that adapted training was necessary. The conclusion is that, while it is always important to conduct an audience analysis and to be familiar with the needs of learners for learning events, tailoring training specifically based on generation does not justify the investment of time and resources to improve the effectiveness of training.
Artificial lift methods in petroleum industry - a review
Authors: Rishi Dewan
Published: March 2023

Artificial lift system adds energy to the fluid column in the wellbore to start and improve production from a hydrocarbon well. It is necessary when natural drives of the reservoir do not support satisfactory rates or make fluids to flow by any means at times. It is one of the main techniques to improve oil production from wells. These are intended to overcome bottom hole pressure to enable a well to deliver at the ideal rate. This includes either utilizing a pump or infusing gas to lessen its hydrostatic pressure to give extra lift pressure down hole. Different types of artificial lifts are used in the petroleum industry. Their use depends on their design, formation type and various reservoir conditions. This paper has a detailed description of various types of artificial lifts, their design and application. The advantages and disadvantages that are associated with each artificial lift system play a crucial role in the decision of selection of the most convenient system in a particular reservoir.
Regional comparison of CMIP3 and CMIP5 precipitation characteristics
Authors: Shashikanth K. , Subimal Ghosh
Published: March 2023

The improvements in the regional precipitation characteristics over the land regions of globe from Coupled Model Intercomparison Project-3 (CMIP3) and Coupled Model Intercomparison Project-5 (CMIP5) model group are examined. This research employed 11 General Circulation Model (GCMs) from both generation of models and combined them from both Multi Model Averaging (MMA) and Bayesian Multi Model Averaging (BMA) to ascertain the upgradation in projections for both seasons. BMA method offer better alternative to MMA as higher weights are assigned to better performing models for more skillful regional projections. Our results elucidate the fact that both combinations of models and methods inform spatially similar non-uniform changes in projections of precipitation across these models. The models do not express much progress in mean simulations for both 20th and 21st century projections. Thus lower uncertainty for CMIP5 group than CMIP3 is observed. Therefore, the findings highlight that mere comparisons based on mean statistics alone may not be sufficient to understand their progress. However, advanced methods of analysis provide better insights in their model development.
Rainwater harvesting: A climate change mitigation
Authors: Giridhar M. V. S. S. , Shyama Mohan
Published: March 2023

The global and regional systems for managing water resources are thought to be significantly impacted by climate change. Due to the fact that poor nations are most impacted, it has grown to be a significant worldwide problem. Natural disasters like aridity, droughts, floods, cyclones, and severe rainfall are all likely to have an impact on humans. Water scarcity can be brought on by climate change in some countries through persistent droughts. The rising population will result in a greater demand for water. Cities are becoming more vulnerable to water-related problems as a result of increased urbanization, changing rainfall patterns, and industrialization. The supply and demand of water can be balanced through the implementation of sustainable practices. In the event of future climate change, rainwater harvesting systems offer an alternative source of water and specific adaptation strategies for coping with water scarcity. The adoption of rainwater harvesting systems is discussed in this article as a strategy for climate change.
Geological map feature extraction using object detection techniques - a comparative analysis
Authors: Dilhan P. A. N. , Siyambalapitiya R.
Published: March 2023

Conducting a geological field survey at the initial stage is an important step in geo-oriented projects and construction. Therefore, better and more accurate solutions are only possible with field analysis and proper modeling. The geological modeling process takes a long time, especially depending on the area of interest. It is inefficient to digitize 2D geological maps with traditional software that uses manual user interaction. This paper proposes a state-of-the-art feature detection methodology for detecting geological features on high-resolution maps. With the development of efficient deep learning algorithms and the improvement of hardware systems, the accuracy of detecting specific objects in digital images, such as human facial features, has reached more than 90%. Current object detection models based on convolutional neural networks cannot be directly applied to high-resolution geological maps due to the input image size limitations of conventional object detection solutions, mostly limited by hardware resources. This paper proposes a sliding window method for character detection of geological features. Detection models are trained using transfer learning with You Look Only Once-v3 (YOLO-v3), Single Shot Multi-Box Detector (SSD), Faster-Region-based Convolutional Neural Network (Faster-RCNN), and Single Shot Multi-Box Detector_RetinaNet (SSD_RetinaNet). All models provide competitive success rates with an average precision (AP) of 0.96 on YOLOv3, 0.88 AP on EfficientNet, 0.92 AP on Faster- RCNN, and 0.97 AP on SSD_RetinaNet. YOLOv3 outperformed the best detection over SSD according to F1 recall and score. Since the input size of detection models is limited, a sliding window algorithm is used to separate high-resolution map images. The final detected strike features are provided as a digital dataset that can be used for further manipulations. Thus, Convolutional Neural Network (CNN) based object detection along with a sliding window protocol can be applied to manual map digitization processes to provide instantaneous digitized data with higher accuracy. This automated process can be used to detect small features and digitize other high-resolution drawings.
Overview of Electronic commerce (E-commerce)
Authors: Bhumika Tuli , Jyoti  , Neha Gautam , Santosh Kumar
Published: March 2023

E-commerce plays a vital role in today's services. It is mainly the work of selling and buying goods through online trading or data transmission over the Internet. This paper gives a complete explanation of E-commerce and why it is used. The main purpose of this paper is to inform people about every aspect of E-commerce, such as what it is and what types of intermediaries it offers. In addition, the role of E-commerce in modern life, including its benefits and difficulties, is discussed.
Machine learning tools based statistical model for candidate hiring prediction
Authors: Naman Sahai
Published: March 2023

Recruiting is a strategy for finding, attracting, and hiring young and experienced talent for entry-level and experienced positions. College and industry recruiting is generally a tactic for medium-to-large companies with large recruiting needs according to the project and business needs, but can range from small efforts (e.g., working with university career centers to source potential candidates) to large-scale operations and even asking current employees to change jobs. Campus hiring often involves working with university career centers and attending job fairs to meet face-to-face with college students and recent graduates, while hiring experienced employees depends on profile, experience, and other factors.
Investigating performance of compound heating furnace subject to heating by two elements and (Silicon Controlled Rectifier) SCR control at 1600ᴼC
Authors: Ranjib K. Chowdhury , Swamy A. R. K. , Krupashankara M. S.
Published: March 2023

The present research examines the performance of a resistance heating furnace using two different heating elements, Silicon Carbide (SiC) heating rods and Molybdenum Di-Silicide (MoSi2) to raise working chamber temperature to 1600ᴼC. SiC rods are used first, starting from the beginning (ambience) temperature 35ᴼC up to 1300ᴼC, followed by MoSi2 heating elements to raise chamber temperature from 1300ᴼC to set temperature at 1600ᴼC. Transition from SiC to MoSi2, heating system is uninterrupted, and swift in heating element effected by inter-locking system (an electronic device or an electro-magnetic system) without any drop in effect. The system under analysis consists of Programmable (Proportional-Integral-Derivative) PID, (Silicon Controlled Rectifier) Thyristor power pack, recrystallised alumina tubes, sensing elements: thermo-couple, Pt-Pt/13%.Rh, semiconductor based circuit that controls power and current to the system requirement (step down) and thereby control voltage automatically with transformer (depending on size of working area, and 53 amp (I), 220 V for single phase, reduced to 60V by a step down transformer) and auto current limiting facilities. Present analysis is designed for programmable and also for non-programmable type of cycles of operations set before starting the furnace within maximum working temperature of 1600ᴼC to achieve objectives, like saving of amperage (current consumption 53 amp) and power at reduced voltage (40V), long life of the heating elements (2 years and more) and optimization of thermal efficiency (60%) for high working temperature 1600ᴼC for long hours of operation in a Compound Heating Resistance (CHR) furnace.
Aerodynamics analysis of RAF family aerofoil using computational fluid dynamics
Authors: Sri Ram Deepak Akella , Sashendra Srinivas Baswanth Pappula , Satish Charan Jalli , Ramarao B. S. V.
Published: March 2023

Aerofoil is a design that offers a gold standard ratio between the coefficient of drag to the coefficient of lift. Aerofoil are the standard cross-sectional structure of the plane wing. In this paper, a famous aerofoil family which is acknowledged to be the Royal Aircraft Factory (RAF) is regarded with all the accessible aerofoil models in that family. The pinnacle 5 aerofoils are considered and inspected for all drift editions over the viewed models with various flow transforming from 400, 420, 440, 460, 480 and 500 knots. The current research is to determine the high-quality aerofoil sketch over their family, for the quality aerofoil format by using plan amendment, and the float variation is carried out by varying the angle of assault with 5 stages interval from 0-25 ranges and the pressure, velocity, turbulence length, temperature, Mach number and the pressure performing in x & y-direction are recorded. All these parameters in consideration determined the most fulfilling model for the RAF family.
A study on insurance policy holders (life) purchasing behavior with reference to rajamahendravaram, andhra pradesh
Authors: P. Hari Kumar , Satyanarayana P. V. V. , P. Vijaya Kumar
Published: March 2023

Human life is a very important asset and life insurance is one of the most significant types of insurance that provides financial protection to individuals and their families in the event of uncertain risks and losses. Life insurance provides both security and protection to individuals and promotes savings among people. This exploratory and descriptive study was selected with the aim of identifying the factors that influence customers' purchasing decisions for insurance policies and analyzing customer preferences when making life insurance investment decisions. Various insurance-related factors were discussed in the paper. Data for this study were collected from primary source as well as secondary sources. The survey area was limited to Rajamandravaram District of East Godavari, A.P., and nearly 220 respondents were considered as a sample size. The survey analyzed respondents' preferred type of insurance, preferred insurer, characteristics, benefits of insurance that attracted them to purchase, how satisfied they were with the life insurance they purchased, and what difficulties they encountered when they made decisions to purchase life insurance. The study also analyzed the association between preferred type of insurance policy and age.
Experimental results from a two-wheeler fuel tank with natural fiber composite
Authors: Krishnaa P. , Nitin B. , Ponshanmugakumar A. , Karthikeyan B.
Published: March 2023

The creation of composite materials has resulted in significant advances in material history. The mechanical characteristics and SEM (Scanning Electron Microscopy) analysis of Bamboo-Kenaf fibre reinforced epoxy composites are explored in this work, as well as the design and analysis of this composite fibre for usage as an application in automobile seat bases. Testing was used to identify the treated status of the sample fibres. The treated specimen has improved mechanical characteristics over the untreated specimen. The fundamental goal of this effort is to shift away from non-biodegradable materials and towards the use of biodegradable materials for the benefit of the environment and humans while retaining their original characteristics.
I'm not throwing away my shot: increasing covid-19 vaccine confidence and decreasing disinformation within campus communities through student advocacy
Authors: Victoria Foster , Avindhya Koralagamage
Published: March 2023

For the past two years, COVID-19 has held the world's attention. It's been challenging to get the world's citizens to reach herd immunity due to a lack of vaccine confidence. Although vaccines have been a very successful part of public health in recent and past decades, there has been much debate about the COVID-19 vaccine. Strategies must be implemented to address vaccine confidence and decrease disinformation as this can be extremely helpful in preventing infections and reducing the likelihood of transmission. Student advocacy may be helpful in restoring trust within the campus community. The study used a cross-sectional, descriptive design. The non-random sample included 85 students, faculty, and staff on the campus of a university in a southeastern state. Participants were recruited via flyers, at COVID-19 campus events, and by word of mouth. The Center for Control and Disease Prevention (CDC) Vaccine Confidence Survey Question Bank was used to measure vaccine confidence at baseline. The intervention consisted of exposing the campus community to factual COVID-19 through educational flyers, town hall meetings, TikTok® and other social media platforms. Upon completion of the study, the grant team created a video of their experiences with the vaccine, which was streamed to the campus community. Data were analyzed using descriptive statistics, frequencies and independent t-tests. Participants' ages ranged from 20-55 (M = 30; SD = 12.1), were mostly female (64.7%), and white (52.9%). More than three-fourths of the samples (76.4%) were students. Only 17.4% of the sample had a previous diagnosis of COVID-19. Nurses and local health officials were the most trusted sources of vaccine information. Due to being a state institution, we were not at liberty to discuss the vaccination status of the participants. However, many felt that people at their work or school (58.9%) or family or friends (64.7%) would not get the vaccine. The findings of this study support the need for innovative strategies to deliver factual COVID-19 vaccine information to the campus community. Most of the participants did practice social distancing and other preventative behaviors, but more than half felt that they had received inaccurate information about the vaccine or were not sure where to receive accurate information from. There is no single intervention to restore campus community confidence, but student advocacy was helpful in starting a discussion about COVID-19 vaccines and collecting necessary data to determine support for effective strategies.
Feeding practices among mothers of under five children at selected area, guntur (dt), andhra pradesh
Authors: Gomathi S. , G. Lakshmi Tirumala
Published: March 2023

Child-feeding practices in early life play an important role in the growth and development of life, in protecting against infectious diseases and preventing lifestyle disorders in later life. The present study aimed to explore the feeding practices of young children. A cross-sectional design was adopted for the study. Convenient sampling techniques were used to select 60 mothers of fewer than five children residing in Yerrabalem, Guntur district, Andhra Pradesh. Data was analyzed using descriptive and inferential statistics. The findings showed that 28% of them were 1 to 2 years old children. Half (51.6%) of them were female children, majority 63.3% of the families' income per month was Rs. 10000 to 20000. Nearly 26.6% of mothers were educated from middle school to intermediate education. Majority of them revealed that 25% were skilled agricultural and fishery workers and all of them sought information from family members. Regard to feeding practices, only 46.6% fed the baby with direct breast feeding, 30% of them had bottle fed, only 31.6% received vitamin drops or other medicines in 24 hrs recall. All the children were reported to be on breastfeeding, 48.3% breast fed immediately after birth. Adequate practices were reported a mean and standard deviation of 76.2% and 23.8% about infant and young child feeding practices. Overall, results showed good practices, but there are lacunae in a few practices that need to be improved on dietary diversity and iron fortification of food.
Comparison of two nursing theories orem's theory of self-care deficit & kolcaba's comfort theory
Authors: Anny Ashiq Ali
Published: March 2023

This article is focused on the major features of Orem's self-care theory, grand theory, and Katharine Kolcaba's comfort theory, a middle-range theory Kolcaba developed in the 1990s. It is a middle-range nursing theory designed for nursing practice, research, and education. According to her theory, patient comfort exists in three forms, relief, ease, and transcendence. These comforts can occur in four contexts: physical, psycho-spiritual, environmental, and sociocultural. Dorothea Orem established the Self-Care Nursing Theory, often known as the Orem Model of Nursing, between 1959 and 2001. Orem's theory comprises three theories, the theory of self-care, the theory of self-care deficit, and the theory of the nursing process. The article is based on a real-life scenario. The aim of this paper is to compare the mentioned theorists, their impacts on the outcomes, and their relationships with the clinical scenario in their own approaches.
Fault tolerant multilevel inverter
Authors: Sunil Manjhi , Rajkumar Jhapte
Published: March 2023

The steady rise in energy demand, combined with the loss of conventional resources, spurs research into environmentally benign renewable energy sources like solar and wind. These sources are appropriate for rural, urban, and offshore areas because to their ease of installation, low operating costs, and copious supply (sun light and wind). In the event of a problem, the distant locations are typically in the middle of nowhere, far away from technical support. This drives research towards fault-tolerant converter technology. These fault-tolerant converters improve reliability, ensuring that key loads receive uninterrupted power. This paper will discuss the redundant path approach, which is an essential part of controlling multilevel inverters under fault-conditions. Suggested fault diagnosing methods are also discussed in this paper. Computer simulation and lab results validate the proposed controls.
A multiple input DC-DC converter for solar PV application with high boosting capability
Authors: Kavita Tamboli , Naveen Goel
Published: March 2023

A Multiple-Input Boost Converter (MIBC) with high boosting ability is suggested in this article. This converter can be utilized for solar photovoltaic applications. The converter is capable of driving continuous current from the sources. The converter's steady-state analysis is presented. The Maximum Power Point (MPP) tracking algorithm is applied for the absorption of peak power produced from the solar panels individually and simultaneously. The suggested converter can attain the voltage gain up to 20 times with maintaining continuity in the input current. The proposed MIBC's open-loop steady-state operation is validated in a simulation environment.
Study of self-charging features in hybrid vehicle
Authors: Abdul Rahman M. , Abhinesh Rajan H. , Deena Dhayalan V. , Gokulakrishnan K.
Published: March 2023

Pollution and energy crises become more and more visible, and Hybrid Electric Vehicles (HEVs) are gaining more and more popularity around the world. To study the perception of alternative technology in an automobile, the project "Hybrid Vehicle Using Self-Charging Functions" is being carried out. A hybrid vehicle uses two or more different types of energy and combines it with electrical power. When the motor is started, the magnetic coil present in the crank starts to rotate. The rotation creates a higher voltage flux. In this case, an additional alternative magnet coil is connected in parallel with the magnet coil using gears. As the coil rotates, the energy generated in the main coil is used for ignition, while the energy generated in the alternate coil is sent to the rectifier and stored in the battery. While the car runs out of fuel, the hybrid switch is activated, then the energy stored in the battery is transferred to the wheel hub, and it starts to work. Since ancient times, people have been using vehicles for transportation and some personal needs. It pollutes the environment with gasoline and diesel fuel. It is burned in the engine for energy, but as some unburned gases come out, it affects the human respiratory system. Therefore, the automotive industry has introduced a battery vehicle (hybrid vehicle). It consumes zero emissions and is environmentally friendly. For a while, it only appeared in cars, not two-wheelers, so for a change, if it creates a hybrid two-wheeler combined with a motor and battery, it will have power, fuel efficiency, and fewer emissions. It has power and environmental fixes in a two-wheeler. When driving at an average speed of 0 to 50 mph, it consumes more fuel due to high torque instead of power from the engine. It receives power from the battery above 50 to 100, and when the engine comes to work, there is power from the engine at that time with low torque, so the motorcycle will not consume much fuel, which means that in motion, the two-wheeler is running on battery, and in the absence of motion, in an engine with such low emissions.
The effect of the drama method on skills: A meta-mixed method study
Authors: Esat Yildirim
Published: March 2023

In this study, the size of the effect of the drama method on skills was analyzed with meta-analysis and the meta-synthesis method. A literature review was conducted on national studies. Postgraduate thesis, doctoral thesis and articles written between 1990-2020 were scanned in Turkish and English from national and international databases to include with the meta-analysis method. After a literature review, it was found that 34 studies conducted at the national level met the inclusion criteria. The Comprehensive Meta-Analysis v2.0 (CMA) Statistical Package Program was used in data analysis, MetaWin program was preferred to calculate the normality distrubition graphs. The Cohen's d effect level was calculated separately for each study, and then general effect levels and significance values were found. The classification of Cohen et al. (2007) was used to evaluate the effect size. According to the data obtained from the analysis, it was concluded that the drama method had a moderate (Cohen's d=0.950) effect on skills. No publication bias was found according to the Funnel plot, Rosenthal Safe N, Duval, and Tweedie test results in the studies included in the analysis analyzed. The publication year, publication type, education level, number of samples, geographical region, application week, application hour, and subject area that might have an effect on the effect size were determined and analyzed as moderator variables. It was concluded that the size of the effect of the drama method on skills differed according to the application week, application hour, and subject area moderators, and that it does not change according to the publication year, publication type, education level, number of samples, and geographical region moderators. In the meta-synthesis data, it was determined that drama give students a many skills, especially speaking, writing, and communication skills. In addition, it can be said that the data obtained from both meta-analysis and metasynthesis are compatible with and support each other. The results of the study show that the drama method is effective at enhancing the skills at the basic education level and suggested for the teachers and researchers to use this method in gaining and developing skills.
Catching illegal fishing using random forest and linear regression models
Authors: Mounika  , Sowjanya  , Keerthana  , Tejaswini
Published: March 2023

Globally, illegal fishing is posing a serious financial challenge to the fishing industry. Because of this, illegal fishing pushes many fish populations to extinction. This paper proposes analyzing illegal fishing using data analysis and machine learning techniques. The existing methods use data manipulation in the illegal fishing data due to the delay in catching illegal vessels, while in this system the data is entered manually. This paper offers data analytics to find these vessels. It may collect raw data from Global Fishing Watch (GFW) and analyze the data to find vessels, whether it is used for illegal or legal fishing. Based on the sensors attached to the ship, it can find data about the Automatic Identification System (AIS) location, the ship's type, and the ship's speed. This model can predict illegal fishing and take appropriate action against illegal fishing vessels.
Zone-based hierarchical link state for detecting malicious node and black hole attack detection for mobile ad-hoc networks
Authors: Thamizhmaran K. , Priyanka T.
Published: March 2023

One of the most common types of network attacks involves non-forwardable bandwidth nodes that pretend to be intermediate nodes on the route to certain destinations and drop every packet that subsequently passes through it. This paper proposes attacks through black holes as an analysis method for detecting malicious nodes in Mobile Ad-hoc Networks (MANET). Because the mechanism and protocol are collaborative, it can confidently analyse and identify malicious hosts. To test the effectiveness of this approach, it uses a hybrid Hierarchical Link State routing protocol based on Modified-ZoneBased Hierarchical Link State Routing Protocol (M-ZHLS) in Network Simulations 2 (NS2) with mobile nodes. As the mobility rate changes and the topology size changes, it can be seen that the detection rate of black holes and malicious nodes is extremely high, the average delay is reduced, and the packet delivery rate is increased compared to the Zone-Based Hierarchical Link State Routing Protocol (ZHLS).
Concept of Joint Functioning of Access Control Systems
Authors: Strelbitskyi Mykhailo , Mazur Valentyn , Prokopenko Evgenii , Rachok Roman , Mul Dmytro
Published: March 2023

Modern integrated information and telecommunication systems are upgraded on a continuous basis. Such systems contain both new and old components. The approaches to developing individual components of access control systems are different in the majority of cases. As a rule, modernization of outdated but efficient systems that have been operating without any failures for long periods of time is economically unfeasible. Such an approach requires that different subsystems function based on shared data. This necessitates the coordination of various access control systems in order to ensure proper information security levels. This article examines how joint functioning of various versions of access control systems deployed in IT and telecommunication spheres may be achieved at the stage of their modernization. Potential ways in which information flows may bypass the security policies of one of the access control systems concerned are determined. The authors discuss traditional access control models. For role-based and thematic access control models, specific hypotheses are formulated to comply with security policies when different versions of access control systems work together. The structure of the model assuming that different versions of access control systems operate jointly has been developed. Based on the model, the necessary and sufficient conditions are determined under which unauthorized information flows are prevented. The security theorem for the joint functioning of different versions of access control systems is presented and proved. The results of the study showed that the methodological basis for coordinating access control models applicable to information and telecommunication systems undergoing modernization consists in observing, separately, the equality of information flows between shared objects in each of the versions of the access control systems. The approaches developed in this article can be extended to combined access control systems.
Improved Association Rule Mining-Based Data Sanitization for Privacy Preservation Model in Cloud
Authors: Patil Rajkumar , HimaBindu Gottumukkala
Published: March 2023

Data security in cloud services is achieved by imposing a broad range of privacy settings and restrictions. However, the different security techniques used fail to eliminate the hazard of serious data leakage, information loss and other vulnerabilities. Therefore, better security policy requirements are necessary to ensure acceptable data protection levels in the cloud. The two procedures presented in this paper are intended to build a new cloud data security method. Here, sensitive data stored in big datasets is protected from abuse via the data sanitization procedure relying on an improved apriori approach to clean the data. The main objective in this case is to generate a key using an optimization technique known as Corona-integrated Archimedes Optimization with Tent Map Estimation (CIAO-TME). Such a technique deals with both restoration and sanitization of data. The problem of optimizing the data preservation ratio (IPR), the hiding ratio (HR), and the degree of modification (DOM) is formulated and researched as well.
Synthesis of Reconfigurable Multiple Shaped Beams of a Concentric Circular Ring Array Antenna Using Evolutionary Algorithms
Authors: Dubey Sanjay Kumar , Mandal Debasis
Published: March 2023

The approach described in this paper uses evolutionary algorithms to create multiple-beam patterns for a concentric circular ring array (CCRA) of isotropic antennas using a common set of array excitation amplitudes. The flat top, cosec2, and pencil beam patterns are examples of multiple-beam patterns. All of these designs have an upward angle of θ = 0◦. All the patterns are further created in three azimuth planes (φ = 0◦, 5◦, and 10◦). To create the necessary patterns, non-uniform excitations are used in combination with evenly spaced isotropic components. For the flat top and cosecant-squared patterns, the best combination of common components, amplitude and various phases is applied, whereas the pencil beam pattern is produced using the common amplitude only. Differential evolutionary algorithm (DE), genetic algorithm (GA), and firefly algorithm (FA) are used to generate the best 4-bit discrete magnitudes and 5-bit discrete phases. These discrete excitations aid in lowering the feed network design complexity and the dynamic range ratio (DRR). A variety of randomly selected azimuth planes are used to verify the excitations as well. With small modifications in the desired parameters, the patterns are formed using the same excitation. The results proved both the efficacy of the suggested strategy and the dominance of DE over GA as well as FA.
Teknoloji Şirketlerinin Hisse Senedi Fiyatlarıyla Kriptoparaların Değerleri Arasında Herhangi Bir İlişki Var Mı : Pandemi Öncesi ve Sonrasına Yönelik Bir Analiz
Authors: SAYAR Ali Rıza Zafer , ALSHAMALI Jehad Bassam Ali
Published: March 2023

Bu çalışma; farklı dönemlerde Nasdaq borsasında işlem gören teknoloji şirket hisse senedi fiyatları ile kripto paraların değerleri arasındaki ilişkiyi araştırmak amacıyla yapılmıştır. Çalışmada regresyon ve korelasyon analizi kullanılmıştır. Çalışma bulgularına göre; COVID-19 dönemi ve sonrasında teknoloji şirket hisse senedi fiyatları ile kripto paraların değerleri arasında pozitif yönlü ve kuvvetli bir ilişki olduğunu söylemek mümkündür. Ancak COVID-19 dönemi öncesinde anlamlı bir ilişki bulunamamıştır. Bu durum COVID-19 ve sonrası dönemde uygulanan önce likidite bolluğu ve sonrası global düzeyde yaşanan enflasyonist baskılara yönelik FED politikaları ile açıklanabileceği değerlendirilmektedir.
Matrix Metalloproteinase-2, Matrix Metalloproteinase-9, and Transforming Growth Factor Beta 1 Levels in Escherichia coli-Infected Rats with Acute Pyelonephritis
Authors: Ji Juan , Bi Zhaoyu , Tian Ling , Zhang Limin , Fan Xing , Li Jing , Li Song
Published: March 2023

Objective: To investigate the expression of matrix metalloproteinase-2 (MMP-2), matrix metalloproteinase-9 (MMP-9), and transforming growth factor beta 1 (TGF beta 1) in the kidney tissue of rats with pyelonephritis and their relationship with pyelonephritis by establishing a rat model of acute pyelonephritis. Methods: 80 male Wistar rats were randomly divided into a control group and an experimental group, with 40 rats each. The rats of the control group were injected with and saline and those of the experimental group were injected with 10 ?g/mL Escherichia coli (E. coli) and saline (1:100); the solutions for both groups were administered every 3 days for 7 days. The expressions of MMP-2, MMP-9 and TGF beta 1 in the kidney tissues of rats in each group were observed. Results: The expression of MMP-9 and TGF beta 1in the kidney tissue of rat acute pyelonephritis model rats was significantly higher than those of the control group (P < 0.01); the MMP-9 mRNA content in the kidney tissue of the experimental group was significantly higher than that of the control group (P < 0.05); the TGF beta 1 mRNA content in the renal tissue of the experimental group increased significantly compared to the  (P < 0.05); MMP-2, MMP-9 and TGF beta 1 began to express in the early stage of pyelonephritis until the complete formation of renal pelvic edema. The difference between groups was statistically significant (P < 0.01). Conclusion: MMP-9 and TGF beta 1 are important factors regulating renal tubular epithelial cell injury and inflammatory response.
Clinical Analysis of Diabetic Nephropathy Risk Factors and Correlation with Blood Pressure Control
Authors: Fan Xing , Li Zhe
Published: March 2023

Objective: To explore the risk factors of diabetic nephropathy and its correlation with blood pressure control. Methods: A retrospective analysis of 80 patients with diabetic nephropathy (diabetic nephropathy group) and another 80 patients with diabetes (diabetic group) who were admitted to the Department of Nephrology and Endocrinology at our hospital from October 2021 to October 2022 was conducted. The general data of the two groups were compared, the influencing factors associated with the two groups were analyzed unilaterally, and unconditional dichotomous logistic regression was performed to analyze the influencing factors in patients with diabetic nephropathy. Results: There were no significant differences in high-density lipoprotein, systolic blood pressure, diastolic blood pressure, and creatinine between the two groups (P > 0.05); however, compared with the diabetic group, the DN group had significantly elevated glycated hemoglobin, low-density lipoprotein, 24-h urine protein, insulin resistance, and diabetes duration ? 10 years (P < 0.05). Conclusion: The clinical research on the correlation between the incidence of hypertension and the control of blood pressure in patients with diabetic nephropathy should be strengthened in order to formulate reasonable and feasible treatment plans.
Seroprevalence of hepatitis B infection and active immunization in Ecuadorian Amazonian indigenous people: A cross-sectional study
Authors: Romero-Sandoval Natalia , Flores Andres , Mora-Bowen Nicole , Arisqueta Lino , Moreno Cristina , Douce Richard , Martín Miguel
Published: March 2023

Introduction: Hepatitis B surveillance is crucial. We proposed to describe the seroprevalence of Hepatitis B infection and the associated factors among Ecuadorian Amazonia communities. Outline: A serologic cross-sectional study was carried out in subjects over two years old. We classified seropositivity according to the Centers of Diseases Control criteria and recorded sex, age, temporary migration, sometime Hepatitis B in their life, and previous vaccination. Results: Out of 215 participants, 50.0%, 8.8%, 1.9%, and 1.4% were susceptible, immune due to natural infection, chronic infection, and early acute HBV infection, respectively. Of the 8 people who reported having ever been diagnosed with Hepatitis B, none showed chronic or acute infection and one was positive for immunity due to the vaccine. HBsAg was found in 3.3% (95% IC 0.9-7.0) and was higher among those who migrate 7.7% (p-value 0.04). 16.3% (95% CI 11.6-21.4) was immune due to HBV vaccination. Among the 58 participants who declared having received the vaccine, 20.7% presented post-vaccine immunity. Implications: Participants who should have benefited from the vaccination campaign (susceptible) are those with the lowest immune response due to vaccination. To assessing the burden of viral hepatitis in people living in marginalized areas and guide preventive measures is mandatory.