IOP Conference Series: Materials Science and Engineering

Day by day the cases of heart diseases are increasing at a rapid rate and it's very Important and concerning to predict any such diseases beforehand. This diagnosis is a difficult task i.e. it should be performed precisely and efficiently. The research paper mainly focuses on which patient is more likely to have a heart disease based on various medical attributes. We prepared a heart disease prediction system to predict whether the patient is likely to be diagnosed with a heart disease or not using the medical history of the patient. We used different algorithms of machine learning such as logistic regression and KNN to predict and classify the patient with heart disease. A quite Helpful approach was used to regulate how the model can be used to improve the accuracy of prediction of Heart Attack in any individual. The strength of the proposed model was quiet satisfying and was able to predict evidence of having a heart disease in a particular individual by using KNN and Logistic Regression which showed a good accuracy in comparison to the previously used classifier such as naive bayes etc. So a quiet significant amount of pressure has been lift off by using the given model in finding the probability of the classifier to correctly and accurately identify the heart disease. The Given heart disease prediction system enhances medical care and reduces the cost. This project gives us significant knowledge that can help us predict the patients with heart disease It is implemented on the.pynb format.

Digital marketing is an integral part of the process of digital business transformation. It incorporates new marketing techniques that are based on information and communication technologies. For this reason, its application in practice is a prerequisite for the successful development of the business in the contemporary market conditions. The object of this paper is the digital marketing and the subject is the digital marketing advantages and disadvantages. The first purpose of this paper is to systemize the various terms for digital marketing used in the specialized literature and the Internet and to show the differences between them. The second is to present the characteristics of the main advantages and disadvantages of digital marketing. Knowing them in depth, companies will be able to develop effective digital marketing strategies that have high potential to achieve company goals and at the same time are suitable to their profile. Thereby, they will be able to determine to what extent and which tools of the whole digital marketing palette are best suited to their marketing activities.

As per ISO and ASTM standards, nanoparticles are particles of sizes ranging from 1 to 100nm with one or more dimensions. The nanoparticles are generally classified into the organic, inorganic and carbon based particles in nanometric scale that has improved properties compared to larger sizes of respective materials. The nanoparticles show enhanced properties such as high reactivity, strength, surface area, sensitivity, stability, etc. because of their small size. The nanoparticles are synthesised by various methods for research and commercial uses that are classified into three main types namely physical, chemical and mechanical processes that has seen a vast improvement over time. This paper presents a review on nanoparticles, their types, properties, synthesis methods and its applications in the field of environment.

The fake news on social media and various other media is wide spreading and is a matter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. A lot of research is already focused on detecting it. This paper makes an analysis of the research related to fake news detection and explores the traditional machine learning models to choose the best, in order to create a model of a product with supervised machine learning algorithm, that can classify fake news as true or false, by using tools like python scikit-learn, NLP for textual analysis. This process will result in feature extraction and vectorization; we propose using Python scikit-learn library to perform tokenization and feature extraction of text data, because this library contains useful tools like Count Vectorizer and Tiff Vectorizer. Then, we will perform feature selection methods, to experiment and choose the best fit features to obtain the highest precision, according to confusion matrix results.

In Muslim countries, mosques that designate areas for women's prayer rarely allow women to line up directly behind men in the same hall, as was the practice in the Prophet's Mosque during his lifetime. In many Arab countries, it is common to separate men's prayer place from women's, particularly in smaller mosques. The distance between the two prayer areas vary from one mosque to another. The majority of mosques in Muslim countries house specified places of prayer for women, which take shape of small rooms in the basement, on the ground floor, in a closed balcony or in a small building attached to the mosque. This paper aims to analyze the accessibility, permeability and scope of participation of women in the Mosque in the current scenario of modern world.

Annotation The heat exchanger as the main element in various types of energy complex is widely studied in technological and production processes. Heat exchangers are classified according to their application. Therefore, in this article we will consider the main types of heat exchange equipment, the choice of a specific type, depending on temperature, flow, pressure drop, and so on. The paper also provides a brief description of software for calculating, modeling and designing CFD, the advantages of each of the methods used to study heat transfer and its efficiency.

In this project we are designing a pressure vessel using ASME section VIII and Division 2, designing a closed container to find the required thickness of the shell, head, nozzle and leg support. Uniform thickness assigned to the entire vessel, Modelling of the pressure vessel is carried out using Pro-e 2.0; meshing is carried out using Hypermesh 6.1. Here we used 2D Quad element for the meshing, Analysis is carried out using ANSYS Software 11 for two different cases, working pressure and Maximum operating pressure, fatigue analysis is carried out, and the result is 10⁶. Finally, theoretical validation is carried out for the entire model, And the results are within the limit.

This review paper provides an overview of a pathfinding algorithm for game development which focuses on the algorithms and their contribution to game development. The algorithms were categorised based on their search performance. The aim of this paper is to investigate and provide insights into pathfinding algorithms for game development in the last 10 years. We summarise all pathfinding algorithms and describe their result in terms of performance (time and memory). The result of this paper is metaheuristic techniques have better performance in terms of time and memory compared to heuristic techniques as a pathfinding algorithm.

Groundbreaking advancements have driven significant industries to adopt and take advantage of the key technologies in order to thrive in these adjustments coming from the Fourth Industrial Revolution (FIRe). However, with the threat of the Coronavirus disease 2019 (COVID-19) causing catastrophic setback to the society and economy, scientific endeavors have shifted towards finding a solution to this pandemic. It is high time to evaluate how the current technology from the FIRe can help a country, such as the Philippines, survive such outbreaks and unforeseen circumstances. Advancements in the field of nanotechnology aim to develop smaller and inexpensive testers, and overall newer and more effective medical solutions. However, the extent on how these technologies can be realized depends on the interplay between the country's policies, and the strong link between industry and academe. This paper raises policy recommendations from synthesizing the trends in nanotechnology and forecasting how it develops so as the country can readily adapt. Moreover, this paper identifies the barriers and constraints, as well as the factors necessary for the technology adoption in the country.

The paper presents the results of a study concerning the use of the Ishikawa diagram in analyzing the causes that determine errors in the evaluation of theparts precision in the machine construction field. The studied problem was"errors in the evaluation of partsprecision" and this constitutes the head of the Ishikawa diagram skeleton.All the possible, main and secondary causes that could generate the studied problem were identified. The most known Ishikawa models are 4M, 5M, 6M, the initials being in order: materials, methods, man, machines, mother nature, measurement. The paper shows the potential causes of the studied problem, which were firstly grouped in three categories, as follows: causes that lead to errors in assessing the dimensional accuracy, causes that determine errors in the evaluation of shape and position abnormalities and causes for errors in roughness evaluation. We took into account the main components of parts precision in the machine construction field. For each of the three categories of causes there were distributed potential secondary causes on groups of M (man, methods, machines, materials, environment/ medio ambiente-sp.). We opted for a new model of Ishikawa diagram, resulting from the composition of three fish skeletons corresponding to the main categories of parts accuracy.

Preface

Third International Conference on Physics of Materials & Nanotechnology (ICPN-2023)

On behalf of Organizing committee, it's my great pleasure to bring this beautiful collection of research articles which were presented in the Third International Conference on Physics of Materials and Nanotechnology (ICPN-2023) which was organized by Department of Physics, Mangalore University, Mangalagangothri, Mangalore (Karnataka), India during September 21^st to 23^rd, 2023. This conference will serve as an ideal platform for young researchers, academician and students from all over the country as well as from the globe to share their ideas and experiences in Physics, Nanotechnology and Nano science research. This conference provided meaningful platform for young researchers to update and upgrade themselves. The main themes of the conferences Advanced Energy and Solar Materials, 1-D, 2-D and Quantum dot Materials, Advanced Electronic Materials, Polymers, Conducting Polymer and Thin films, Solid State Materials and their properties, Sensors and actuators, Carbon related materials, Metal Oxide & Sulphide Materials, Ferroelectrics and dielectric materials, Soft, Magnetic and smart materials, Nano Material, Nanotechnology, Chemistry of Materials, Alloys, Semiconductor and optical Materials and Crystal growth & applications etc. I am glad that experts in the various field of Nanotechnology are here to present and discussed their ideas and latest development in the field. ICPN 2023 has received a great response throughout the country and globe. It includes 14 invited talks, 11 oral presentations and more than 120 poster presentations. We have received more than 130 papers for the publications in this issue, after reviewing and editing processes, 47 papers were accepted for the publication out of 74 submitted papers. We thank the authors for their contribution and the reviewers for their comments to improve the quality of article. I would like to express my gratitude to all members of organizing committee, staff, research scholars and postgraduate students of the institute for their willingness, commitment, dedication and relentless efforts in ensuring that conference was successful.

List of Editorial Board is available in this pdf.

All conference organisers/editors are required to declare details about their peer review. Therefore, please provide the following information:

• Type of peer review: Single-blind / Double-blind / Triple-blind / Open / Other (please describe)

Single blind

• Conference submission management system: Morresises

• Number of submissions received: 74

• Number of submissions sent for review: 74

• Number of submissions accepted: 47

• Acceptance Rate (Number of Submissions Accepted / Number of Submissions Received X 100): 63.51 %

• Average number of reviews per paper: 2

• Total number of reviewers involved: 5

• Contact person for queries:

Dr. Vijeth

Email: vijethhebri@gmail.com

Affiliation: Assistant Professor Department of Physics Nagaland University (A Central University), Lumami, Zunheboto Dist. Nagaland

Dr. Ganesha H

Email: ganeshkumar4006@gmail.com

Affiliation: Department of Chemistry Kasetsart University, 50 Ngamwongwan Rd, Lat Yao, Chatuchak, Bangkok 10900

In this study, we examined a collection of functionalized hBN monolayers' electronic structure and quantum capacitance. Different ad-atom adsorption techniques have been used to functionalize the hBN monolayer. Density functional theory calculations are performed to precisely determine the electrical structure of an ad-atom doped hBN monolayer with a range of doping concentrations. The quantum capacitance of every functionalized system was then calculated. Above 500 μF/cm², a noticeable quantum capacitance has been seen. Our calculations demonstrate that ad-atom doping at hollow position of hBN honeycomb lattice greatly increases the quantum capacitance of hBN monolayer. The microscopic cause of this system's increased quantum capacitance has been investigated. Our DFT-based calculation shows that the system has a very large quantum capacitance due to the creation of new electronic states in the vicinity of the band edge and the Fermi level shift caused by the ad-atom adsorption.

Due to their availability of basic ingredients and affordable cost, natural dyes are important in many applications. One of such natural dyes, Lawsone which is naturally extracted from henna leaves. The Zinc Oxide (ZnO) was intermixed with lawsone dye to their matching of energy levels with Titanium dioxide (TiO₂) enables efficient charge transfer phenomenon. The optical study illustrates Lawsone dye - Zinc Oxide (Ld-ZnO) composite to utilize in energy conversion application. The FTIR spectra demonstrates the presence of Zn-O, C-O, C=O and hydroxyl groups are evident from near 500, 1633 and around 3250 cm⁻¹ respectively. The UV-Visible spectra reveal maximum absorbance around narrow and broad peak at 368 nm for Lawsone dye (Ld) and Ld-ZnO composite respectively. The lawsone dye has better emission property that causes recombination of charge carriers reduces the performance of Dye Sensitized Solar Cells (DSSCs). The DSSCs based on lawsone dye (Ld) and Ld-ZnO based material exhibits PCE of 0.12% and 0.17% respectively. This optical study suggests natural extraction of lawsone dye from henna leaves with suitable semi-conducting material was promising candidate to improve performance of DSSCs.

The present work reports a one-step hydrothermal carbonization process used to simultaneously produce carbon quantum dots and porous carbon. The synthesized materials were characterized by using a Fourier transform infrared spectrometer (FT-IR) to study the chemical interactions, the optical properties were studied with the help of UV-visible absorption spectroscopy, and the morphology analysis of CQDs and porous carbon was examined using FESEM, in which spherical morphology confirms the formation of CQDs, while XRD confirms the amorphous nature of the porous carbon. The application of CQDs and porous materials is evaluated as a supercapacitor material by using the cyclic voltammetry technique. The specific capacitance of porous carbon was 161.33 Fg⁻¹ at 0.01mVs⁻¹ scan rate. This makes CQDs and porous carbon a promising candidate for applications in energy storage devices such as supercapacitors.